Thread by @stephenwithavee

Time for #PapersThatMakeYouGoHmmm! A weekly summary of new ML papers from arXiv that make me think one or more of:

1. That looks useful!
2. That's an interesting approach!
3. A business could be built around this!
4. How did they do that?!

TradeR: Practical Deep Hierarchical Reinforcement Learning for Trade Execution

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Productivity development in the construction industry and human capital: a literature review

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A survey of electricity spot and futures price models for risk management applications

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Deep Hedging of Derivatives Using Reinforcement Learning

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Text Mining of Stocktwits Data for Predicting Stock Prices

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A Comparative Evaluation of Predominant Deep Learning Quantified Stock Trading Strategies

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Accurate Stock Price Forecasting Using Robust and Optimized Deep Learning Models

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Drivers of academic engagement in public-private research collaboration: an empirical study

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Public-private research collaborations: longitudinal field-level analysis of determinants, frequency and impact

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Replicating Market Makers

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Stock price forecast with deep learning

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Forecasting with Deep Learning: S&P 500 index

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Domain Specific Concept Drift Detectors for Predicting Financial Time Series

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Semantic XAI for contextualized demand forecasting explanations

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Commonsense Spatial Reasoning for Visually Intelligent Agents

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Evaluating Predictive Business Process Monitoring Approaches on Small Event Logs

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Putting NeRF on a Diet: Semantically Consistent Few-Shot View Synthesis

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HLE-UPC at SemEval-2021 Task 5: Multi-Depth DistilBERT for Toxic Spans Detection

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Fast DCTTS: Efficient Deep Convolutional Text-to-Speech

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Domain-Adversarial Training of Self-Attention Based Networks for Land Cover Classification using Multi-temporal Sentinel-2 Satellite Imagery

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Mining Wikidata for Name Resources for African Languages

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Reinforcement Learning Beyond Expectation

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Auto-KWS 2021 Challenge: Task, Datasets, and Baselines

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Bayesian Graph Convolutional Network for Traffic Prediction

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Linear Semantics in Generative Adversarial Networks

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Avalanche: an End-to-End Library for Continual Learning

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TrajeVAE -- Controllable Human Motion Generation from Trajectories

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Nine Potential Pitfalls when Designing Human-AI Co-Creative Systems

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Mitigating Media Bias through Neutral Article Generation

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Many-to-English Machine Translation Tools, Data, and Pretrained Models

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Perspective, Survey and Trends: Public Driving Datasets and Toolsets for Autonomous Driving Virtual Test

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Analysis and modeling to forecast in time series: a systematic review

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LIFT-SLAM: a deep-learning feature-based monocular visual SLAM method

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Taking Stock of the Present and Future of Smart Technologies for Older Adults and Caregivers

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Imagine All the People: Citizen Science, Artificial Intelligence, and Computational Research

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Training robust deep learning models for medical imaging tasks with spectral decoupling

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OLIVAW: Mastering Othello with neither Humans nor a Penny

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Rethinking Style Transfer: From Pixels to Parameterized Brushstrokes

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CrowdTeacher: Robust Co-teaching with Noisy Answers & Sample-specific Perturbations for Tabular Data

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SRA-LSTM: Social Relationship Attention LSTM for Human Trajectory Prediction

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Spatial Content Alignment For Pose Transfer

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Learning Generalizable Robotic Reward Functions from "In-The-Wild" Human Videos

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Attention, please! A survey of Neural Attention Models in Deep Learning

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Evaluation of Multimodal Semantic Segmentation using RGB-D Data

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CloneBot: Personalized Dialogue-Response Predictions

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Towards More Flexible and Accurate Object Tracking with Natural Language: Algorithms and Benchmark

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Robustness Certification for Point Cloud Models

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Text Classification Using Hybrid Machine Learning Algorithms on Big Data

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Flatland Competition 2020: MAPF and MARL for Efficient Train Coordination on a Grid World

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Catalyzing Clinical Diagnostic Pipelines Through Volumetric Medical Image Segmentation Using Deep Neural Networks: Past, Present, & Future

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AlphaEvolve: A Learning Framework to Discover Novel Alphas in Quantitative Investment

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Towards Active Learning Based Smart Assistant for Manufacturing

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Representation range needs for 16-bit neural network training

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pH-RL: A personalization architecture to bring reinforcement learning to health practice

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The Elastic Lottery Ticket Hypothesis

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Neural Transformation Learning for Deep Anomaly Detection Beyond Images

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Put Chatbot into Its Interlocutor's Shoes: New Framework to Learn Chatbot Responding with Intention

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End-to-End Constrained Optimization Learning: A Survey

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E-GraphSAGE: A Graph Neural Network based Intrusion Detection System

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Temporal Memory Relation Network for Workflow Recognition from Surgical Video

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Convolutional Neural Networks for Sleep Stage Scoring on a Two-Channel EEG Signal

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Prediction of Landfall Intensity, Location, and Time of a Tropical Cyclone

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Predicting Landfall's Location and Time of a Tropical Cyclone Using Reanalysis Data

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DeepWORD: A GCN-based Approach for Owner-Member Relationship Detection in Autonomous Driving

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Reconstructing Interactive 3D Scenes by Panoptic Mapping and CAD Model Alignments

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Geometry of Program Synthesis

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Assessing YOLACT++ for real time and robust instance segmentation of medical instruments in endoscopic procedures

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Shaping Advice in Deep Multi-Agent Reinforcement Learning

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Comparison of different convolutional neural network activa-tion functions and methods for building ensembles

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Distilled Replay: Overcoming Forgetting through Synthetic Samples

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eDarkTrends: Harnessing Social Media Trends in Substance use disorders for Opioid Listings on Cryptomarket

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Towards An Ethics-Audit Bot

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Automation: An Essential Component Of Ethical AI?

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Retraining DistilBERT for a Voice Shopping Assistant by Using Universal Dependencies

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Gamified and Self-Adaptive Applications for the Common Good: Research Challenges Ahead

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A Survey of Hybrid Human-Artificial Intelligence for Social Computing

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Toward Building Science Discovery Machines

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Boosting the Speed of Entity Alignment 10*: Dual Attention Matching Network with Normalized Hard Sample Mining

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"Weak AI" is Likely to Never Become "Strong AI", So What is its Greatest Value for us?

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The General Theory of General Intelligence: A Pragmatic Patternist Perspective

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eXtended Artificial Intelligence: New Prospects of Human-AI Interaction Research

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The AI Settlement Generation Challenge in Minecraft: First Year Report

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LASER: Learning a Latent Action Space for Efficient Reinforcement Learning

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Rethinking Neural Operations for Diverse Tasks

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CaSiNo: A Corpus of Campsite Negotiation Dialogues for Automatic Negotiation Systems

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Self-Constructing Neural Networks Through Random Mutation

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On the Adversarial Robustness of Visual Transformers

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Connectionism, Complexity, and Living Systems: a comparison of Artificial and Biological Neural Networks

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Cloud2Curve: Generation and Vectorization of Parametric Sketches

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Multi-Scale Vision Longformer: A New Vision Transformer for High-Resolution Image Encoding

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LayoutParser: A Unified Toolkit for Deep Learning Based Document Image Analysis

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Measuring Sample Efficiency and Generalization in Reinforcement Learning Benchmarks: NeurIPS 2020 Procgen Benchmark

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One Network Fits All? Modular versus Monolithic Task Formulations in Neural Networks

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KNN, An Underestimated Model for Regional Rainfall Forecasting

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HiT: Hierarchical Transformer with Momentum Contrast for Video-Text Retrieval

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H-GAN: the power of GANs in your Hands

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Explaining the Road Not Taken

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You Can Do Better! If You Elaborate the Reason When Making Prediction

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Human-in-the-loop Handling of Knowledge Drift

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Towards Tool-Support for Interactive-Machine Learning Applications in the Android Ecosystem

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LSTM Based Sentiment Analysis for Cryptocurrency Prediction

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An Automated Multiple-Choice Question Generation Using Natural Language Processing Techniques

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Knowing What VQA Does Not: Pointing to Error-Inducing Regions to Improve Explanation Helpfulness

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Exploiting Adam-like Optimization Algorithms to Improve the Performance of Convolutional Neural Networks

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Autonomous Overtaking in Gran Turismo Sport Using Curriculum Reinforcement Learning

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Multi-Disease Detection in Retinal Imaging based on Ensembling Heterogeneous Deep Learning Models

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SKID RAW: Skill Discovery from Raw Trajectories

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Data Augmentation in Natural Language Processing: A Novel Text Generation Approach for Long and Short Text Classifiers

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Incorporating Connections Beyond Knowledge Embeddings: A Plug-and-Play Module to Enhance Commonsense Reasoning in Machine Reading Comprehension

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An Embedding-based Joint Sentiment-Topic Model for Short Texts

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MedSelect: Selective Labeling for Medical Image Classification Combining Meta-Learning with Deep Reinforcement Learning

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A PSO Strategy of Finding Relevant Web Documents using a New Similarity Measure

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Guided Training: A Simple Method for Single-channel Speaker Separation

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Reinforcement Learning for Robust Parameterized Locomotion Control of Bipedal Robots

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Robust Pandemic Control Synthesis with Formal Specifications: A Case Study on COVID-19 Pandemic

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Supervised Chorus Detection for Popular Music Using Convolutional Neural Network and Multi-task Learning

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Improve GAN-based Neural Vocoder using Pointwise Relativistic LeastSquare GAN

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Modeling the Compatibility of Stem Tracks to Generate Music Mashups

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Deep EHR Spotlight: a Framework and Mechanism to Highlight Events in Electronic Health Records for Explainable Predictions

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Deep-RBF Networks for Anomaly Detection in Automotive Cyber-Physical Systems

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Optimized Coverage Planning for UV Surface Disinfection

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Full Encoder: Make Autoencoders Learn Like PCA

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Tilted Cross Entropy (TCE): Promoting Fairness in Semantic Segmentation

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RLAD: Time Series Anomaly Detection through Reinforcement Learning and Active Learning

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Deep Reinforcement Learning for Resource Allocation in Business Processes

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Prediction of Wind Speed Using Artificial Neural Networks and ANFIS Methods (Observation Buoy Example)

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Using Python for Model Inference in Deep Learning

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The Compact Support Neural Network

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Smartphone Camera Oximetry in an Induced Hypoxemia Study

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Strengthening the Training of Convolutional Neural Networks By Using Walsh Matrix

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SimPoE: Simulated Character Control for 3D Human Pose Estimation

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Deep Multi-Resolution Dictionary Learning for Histopathology Image Analysis

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Sampling and Filtering of Neural Machine Translation Distillation Data

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NeRF-VAE: A Geometry Aware 3D Scene Generative Model

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Regularized target encoding outperforms traditional methods in supervised machine learning with high cardinality features

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Model Selection for Time Series Forecasting: Empirical Analysis of Different Estimators

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Text to Image Generation with Semantic-Spatial Aware GAN

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OutlierNets: Highly Compact Deep Autoencoder Network Architectures for On-Device Acoustic Anomaly Detection

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fairmodels: A Flexible Tool For Bias Detection, Visualization, And Mitigation

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Explaining COVID-19 and Thoracic Pathology Model Predictions by Identifying Informative Input Features

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Low-Resource Neural Machine Translation for South-Eastern African Languages

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CycleDRUMS: Automatic Drum Arrangement For Bass Lines Using CycleGAN

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SpectralNET: Exploring Spatial-Spectral WaveletCNN for Hyperspectral Image Classification

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MeanShift++: Extremely Fast Mode-Seeking With Applications to Segmentation and Object Tracking

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A proof of convergence for stochastic gradient descent in the training of artificial neural networks with ReLU activation for constant target functions

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Learning Deep Latent Subspaces for Image Denoising

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LaPred: Lane-Aware Prediction of Multi-Modal Future Trajectories of Dynamic Agents

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Gesture Similarity Analysis on Event Data Using a Hybrid Guided Variational Auto Encoder

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Rapid quantification of COVID-19 pneumonia burden from computed tomography with convolutional LSTM networks

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Multi-Encoder Learning and Stream Fusion for Transformer-Based End-to-End Automatic Speech Recognition

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Analysis on Image Set Visual Question Answering

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Hierarchical Road Topology Learning for Urban Map-less Driving

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NetAdaptV2: Efficient Neural Architecture Search with Fast Super-Network Training and Architecture Optimization

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Binarized Neural Networks for Resource-Constrained On-Device Gait Identification

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Efficient Large-Scale Face Clustering Using an Online Mixture of Gaussians

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StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery

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Leveraging Neural Machine Translation for Word Alignment

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Joint Deep Multi-Graph Matching and 3D Geometry Learning from Inhomogeneous 2D Image Collections

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Using activation histograms to bound the number of affine regions in ReLU feed-forward neural networks

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Classification of Hematoma: Joint Learning of Semantic Segmentation and Classification

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Trusted Artificial Intelligence: Towards Certification of Machine Learning Applications

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Mobility Functional Areas and COVID-19 Spread

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Multi-Class Multi-Instance Count Conditioned Adversarial Image Generation

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Deep Learning in current Neuroimaging: a multivariate approach with power and type I error control but arguable generalization ability

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Contrastive Learning of Single-Cell Phenotypic Representations for Treatment Classification

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HAD-Net: A Hierarchical Adversarial Knowledge Distillation Network for Improved Enhanced Tumour Segmentation Without Post-Contrast Images

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Historical Inertia: An Ignored but Powerful Baseline for Long Sequence Time-series Forecasting

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Wave based damage detection in solid structures using artificial neural networks

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A Dynamic Battery State-of-Health Forecasting Model for Electric Trucks: Li-Ion Batteries Case-Study

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LemgoRL: An open-source Benchmark Tool to Train Reinforcement Learning Agents for Traffic Signal Control in a real-world simulation scenario

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Product Inspection Methodology via Deep Learning: An Overview

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Graph Intention Network for Click-through Rate Prediction in Sponsored Search

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PointBA: Towards Backdoor Attacks in 3D Point Cloud

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FaiR-IoT: Fairness-aware Human-in-the-Loop Reinforcement Learning for Harnessing Human Variability in Personalized IoT

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Certifiably-Robust Federated Adversarial Learning via Randomized Smoothing

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PLAN-B: Predicting Likely Alternative Next Best Sequences for Action Prediction

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Deep Compression for PyTorch Model Deployment on Microcontrollers

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Entity Context Graph: Learning Entity Representations fromSemi-Structured Textual Sources on the Web

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Classifying the Unstructured IT Service Desk Tickets Using Ensemble of Classifiers

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Unsupervised Learning of 3D Object Categories from Videos in the Wild

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Endo-Depth-and-Motion: Localization and Reconstruction in Endoscopic Videos using Depth Networks and Photometric Constraints

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Assessing the Role of Random Forests in Medical Image Segmentation

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Automated Cleanup of the ImageNet Dataset by Model Consensus, Explainability and Confident Learning

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cuConv: A CUDA Implementation of Convolution for CNN Inference

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AfriKI: Machine-in-the-Loop Afrikaans Poetry Generation

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Time-domain Speech Enhancement with Generative Adversarial Learning

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Deep Learning and Machine Vision for Food Processing: A Survey

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XRJL-HKUST at SemEval-2021 Task 4: WordNet-Enhanced Dual Multi-head Co-Attention for Reading Comprehension of Abstract Meaning

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Symbolic Music Generation with Diffusion Models

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Early Detection of In-Memory Malicious Activity based on Run-time Environmental Features

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Production Machine Learning Pipelines: Empirical Analysis and Optimization Opportunities

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An Overview of Human Activity Recognition Using Wearable Sensors: Healthcare and Artificial Intelligence

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A Simple Approach for Zero-Shot Learning based on Triplet Distribution Embeddings

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Multiscale Clustering of Hyperspectral Images Through Spectral-Spatial Diffusion Geometry

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[Reproducibility Report] Rigging the Lottery: Making All Tickets Winners

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SetVAE: Learning Hierarchical Composition for Generative Modeling of Set-Structured Data

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Multi-source Transfer Learning with Ensemble for Financial Time Series Forecasting

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Explore the Knowledge contained in Network Weights to Obtain Sparse Neural Networks

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RAN-GNNs: breaking the capacity limits of graph neural networks

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Pairing Character Classes in a Deathmatch Shooter Game via a Deep-Learning Surrogate Model

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Efficient Explanations from Empirical Explainers

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FixNorm: Dissecting Weight Decay for Training Deep Neural Networks

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Bayesian Attention Networks for Data Compression

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Deep reinforcement learning of event-triggered communication and control for multi-agent cooperative transport

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Symbolic regression outperforms other models for small data sets

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Explaining Representation by Mutual Information

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Continuous Conditional Generative Adversarial Networks (cGAN) with Generator Regularization

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LiBRe: A Practical Bayesian Approach to Adversarial Detection

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An Introduction to Robust Graph Convolutional Networks

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Ensemble-in-One: Learning Ensemble within Random Gated Networks for Enhanced Adversarial Robustness

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Modeling the Nonsmoothness of Modern Neural Networks

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PixelTransformer: Sample Conditioned Signal Generation

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Adaptive Methods for Real-World Domain Generalization

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Transformer-based end-to-end speech recognition with residual Gaussian-based self-attention

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A Model-Based Approach to Synthetic Data Set Generation for Patient-Ventilator Waveforms for Machine Learning and Educational Use

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Competing Adaptive Networks

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Analyzing the Effects of COVID-19 Pandemic on the Energy Demand: the Case of Northern Italy

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IA-GCN: Interpretable Attention based Graph Convolutional Network for Disease prediction

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Supporting verification of news articles with automated search for semantically similar articles

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Data-driven generation of plausible tissue geometries for realistic photoacoustic image synthesis

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Translating Numerical Concepts for PDEs into Neural Architectures

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Rethinking ResNets: Improved Stacking Strategies With High Order Schemes

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Realistic face animation generation from videos

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On the benefits of robust models in modulation recognition

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Improving prostate whole gland segmentation in t2-weighted MRI with synthetically generated data

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SceneGraphFusion: Incremental 3D Scene Graph Prediction from RGB-D Sequences

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Feature-based Representation for Violin Bridge Admittances

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Self-adaptive Torque Vectoring Controller Using Reinforcement Learning

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SelfGait: A Spatiotemporal Representation Learning Method for Self-supervised Gait Recognition

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Unsupervised Self-Training for Sentiment Analysis of Code-Switched Data

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Scalable and Efficient Neural Speech Coding

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Fully Automated 2D and 3D Convolutional Neural Networks Pipeline for Video Segmentation and Myocardial Infarction Detection in Echocardiography

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Focused LRP: Explainable AI for Face Morphing Attack Detection

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A Practical Survey on Faster and Lighter Transformers

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Randomization-based Machine Learning in Renewable Energy Prediction Problems: Critical Literature Review, New Results and Perspectives

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Deep-AIR: A Hybrid CNN-LSTM Framework for Air Quality Modeling in Metropolitan Cities

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FeatureEnVi: Visual Analytics for Feature Engineering Using Stepwise Selection and Semi-Automatic Extraction Approaches

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Bellman: A Toolbox for Model-Based Reinforcement Learning in TensorFlow

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Online structural health monitoring by model order reduction and deep learning algorithms

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Character Controllers Using Motion VAEs

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Persistence Homology of TEDtalk: Do Sentence Embeddings Have a Topological Shape?

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Visionary: Vision architecture discovery for robot learning

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Data Quality as Predictor of Voice Anti-Spoofing Generalization

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Model-Free Learning of Safe yet Effective Controllers

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Classification of Pneumonia and Tuberculosis from Chest X-rays

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Sparse Object-level Supervision for Instance Segmentation with Pixel Embeddings

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Detection, growth quantification and malignancy prediction of pulmonary nodules using deep convolutional networks in follow-up CT scans

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Quantum Mechanics and Machine Learning Synergies: Graph Attention Neural Networks to Predict Chemical Reactivity

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Continual Speaker Adaptation for Text-to-Speech Synthesis

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Multimodal Knowledge Expansion

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A computationally efficient neural network for predicting weather forecast probabilities

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The convergence of the Stochastic Gradient Descent (SGD) : a self-contained proof

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Building Reliable Explanations of Unreliable Neural Networks: Locally Smoothing Perspective of Model Interpretation

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Evaluation of Preprocessing Techniques for U-Net Based Automated Liver Segmentation

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Adversarial Attacks are Reversible with Natural Supervision

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Image2Reverb: Cross-Modal Reverb Impulse Response Synthesis

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DBATES: DataBase of Audio features, Text, and visual Expressions in competitive debate Speeches

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Residual Energy-Based Models for End-to-End Speech Recognition

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Nearly Horizon-Free Offline Reinforcement Learning

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NeuralRecon: Real-Time Coherent 3D Reconstruction from Monocular Video

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LoFTR: Detector-Free Local Feature Matching with Transformers

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In&Out : Diverse Image Outpainting via GAN Inversion

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RePOSE: Real-Time Iterative Rendering and Refinement for 6D Object Pose Estimation

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Motion Guided Attention Fusion to Recognize Interactions from Videos

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Composable Augmentation Encoding for Video Representation Learning

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The surprising impact of mask-head architecture on novel class segmentation

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One-Shot Neural Ensemble Architecture Search by Diversity-Guided Search Space Shrinking

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A Joint Network for Grasp Detection Conditioned on Natural Language Commands

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Unsupervised Foreground-Background Segmentation with Equivariant Layered GANs

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Sketch2Mesh: Reconstructing and Editing 3D Shapes from Sketches

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Reconstructing 3D Human Pose by Watching Humans in the Mirror

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Exploiting Relationship for Complex-scene Image Generation

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Famous Companies Use More Letters in Logo:A Large-Scale Analysis of Text Area in Logo

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EfficientNetV2: Smaller Models and Faster Training

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Learning to Track Instances without Video Annotations

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Self-supervised Motion Learning from Static Images

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A Survey on Natural Language Video Localization

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Dive into Ambiguity: Latent Distribution Mining and Pairwise Uncertainty Estimation for Facial Expression Recognition

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Less is More: Accelerating Faster Neural Networks Straight from JPEG

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Visual Attention in Imaginative Agents

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Full Surround Monodepth from Multiple Cameras

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Drowsiness Detection Based On Driver Temporal Behavior Using a New Developed Dataset

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RetrievalFuse: Neural 3D Scene Reconstruction with a Database

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High-quality Low-dose CT Reconstruction Using Convolutional Neural Networks with Spatial and Channel Squeeze and Excitation

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State-of-the-art segmentation network fooled to segment a heart symbol in chest X-Ray images

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Semi-supervised Synthesis of High-Resolution Editable Textures for 3D Humans

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Human POSEitioning System (HPS): 3D Human Pose Estimation and Self-localization in Large Scenes from Body-Mounted Sensors

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Dogfight: Detecting Drones from Drones Videos

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Going deeper with Image Transformers

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FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation

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Long-Term Temporally Consistent Unpaired Video Translation from Simulated Surgical 3D Data

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A Closer Look at Fourier Spectrum Discrepancies for CNN-generated Images Detection

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Camouflaged Instance Segmentation: Dataset and Benchmark Suite

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Topo-boundary: A Benchmark Dataset on Topological Road-boundary Detection Using Aerial Images for Autonomous Driving

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iCurb: Imitation Learning-based Detection of Road Curbs using Aerial Images for Autonomous Driving

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Facial expression and attributes recognition based on multi-task learning of lightweight neural networks

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Smart Scribbles for Image Mating

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Layout-Guided Novel View Synthesis from a Single Indoor Panorama

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Near-field Sensing Architecture for Low-Speed Vehicle Automation using a Surround-view Fisheye Camera System

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Neural Surface Maps

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Few-Data Guided Learning Upon End-to-End Point Cloud Network for 3D Face Recognition

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Generating Multi-scale Maps from Remote Sensing Images via Series Generative Adversarial Networks

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ArtFlow: Unbiased Image Style Transfer via Reversible Neural Flows

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Topology-Preserving 3D Image Segmentation Based On Hyperelastic Regularization

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Weakly-Supervised Image Semantic Segmentation Using Graph Convolutional Networks

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Facial Masks and Soft-Biometrics: Leveraging Face Recognition CNNs for Age and Gender Prediction on Mobile Ocular Images

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Dual Contrastive Loss and Attention for GANs

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A Novel Deep ML Architecture by Integrating Visual Simultaneous Localization and Mapping (vSLAM) into Mask R-CNN for Real-time Surgical Video Analysis

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CNN-based Cardiac Motion Extraction to Generate Deformable Geometric Left Ventricle Myocardial Models from Cine MRI

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Mask-ToF: Learning Microlens Masks for Flying Pixel Correction in Time-of-Flight Imaging

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Boundary IoU: Improving Object-Centric Image Segmentation Evaluation

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Thinking Fast and Slow: Efficient Text-to-Visual Retrieval with Transformers

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Read and Attend: Temporal Localisation in Sign Language Videos

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Spatiotemporal Transformer for Video-based Person Re-identification

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3D AffordanceNet: A Benchmark for Visual Object Affordance Understanding

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Graph Stacked Hourglass Networks for 3D Human Pose Estimation

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Source-Free Domain Adaptation for Semantic Segmentation

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Generalized Organ Segmentation by Imitating One-shot Reasoning using Anatomical Correlation

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Rethinking Spatial Dimensions of Vision Transformers

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Locate then Segment: A Strong Pipeline for Referring Image Segmentation

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Is segmentation uncertainty useful?

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Head2HeadFS: Video-based Head Reenactment with Few-shot Learning

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XVFI: eXtreme Video Frame Interpolation

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Differentiable Drawing and Sketching

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Repopulating Street Scenes

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Diagonal Attention and Style-based GAN for Content-Style Disentanglement in Image Generation and Translation

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Kaleido-BERT: Vision-Language Pre-training on Fashion Domain

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Large Scale Visual Food Recognition

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Large Scale Autonomous Driving Scenarios Clustering with Self-supervised Feature Extraction

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Fully Convolutional Scene Graph Generation

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3D-MAN: 3D Multi-frame Attention Network for Object Detection

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Progressive Domain Expansion Network for Single Domain Generalization

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Self-supervised Image-text Pre-training With Mixed Data In Chest X-rays

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Identity-Aware CycleGAN for Face Photo-Sketch Synthesis and Recognition

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A Multiplexed Network for End-to-End, Multilingual OCR

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Domain-robust VQA with diverse datasets and methods but no target labels

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DiNTS: Differentiable Neural Network Topology Search for 3D Medical Image Segmentation

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Robust Audio-Visual Instance Discrimination

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Sign Language Production: A Review

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HapTable: An Interactive Tabletop Providing Online Haptic Feedback for Touch Gestures

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Is Image-to-Image Translation the Panacea for Multimodal Image Registration? A Comparative Study

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Online Defense of Trojaned Models using Misattributions

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Automating Defense Against Adversarial Attacks: Discovery of Vulnerabilities and Application of Multi-INT Imagery to Protect Deployed Models

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LatentKeypointGAN: Controlling GANs via Latent Keypoints

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StyleMeUp: Towards Style-Agnostic Sketch-Based Image Retrieval

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ViViT: A Video Vision Transformer

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Drop the GAN: In Defense of Patches Nearest Neighbors as Single Image Generative Models

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TrafficQA: A Question Answering Benchmark and an Efficient Network for Video Reasoning over Traffic Events

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An Adversarial Human Pose Estimation Network Injected with Graph Structure

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Context Modeling in 3D Human Pose Estimation: A Unified Perspective

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PeaceGAN: A GAN-based Multi-Task Learning Method for SAR Target Image Generation with a Pose Estimator and an Auxiliary Classifier

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Capsule Network is Not More Robust than Convolutional Network

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Learning to Predict Salient Faces: A Novel Visual-Audio Saliency Model

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PlaneSegNet: Fast and Robust Plane Estimation Using a Single-stage Instance Segmentation CNN

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FocusedDropout for Convolutional Neural Network

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No frame left behind: Full Video Action Recognition

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Classifying Video based on Automatic Content Detection Overview

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TFPose: Direct Human Pose Estimation with Transformers

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LiDAR R-CNN: An Efficient and Universal 3D Object Detector

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ReAgent: Point Cloud Registration using Imitation and Reinforcement Learning

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TransCenter: Transformers with Dense Queries for Multiple-Object Tracking

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BA^2M: A Batch Aware Attention Module for Image Classification

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Learning a Sketch Tensor Space for Image Inpainting of Man-made Scenes

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Going Deeper Into Face Detection: A Survey

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Labels4Free: Unsupervised Segmentation using StyleGAN

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CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classification

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Representation, Analysis of Bayesian Refinement Approximation Network: A Survey

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Few-shot Semantic Image Synthesis Using StyleGAN Prior

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Deep Learning Techniques for In-Crop Weed Identification: A Review

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From Synthetic to Real: Unsupervised Domain Adaptation for Animal Pose Estimation

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Face Transformer for Recognition

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GnetDet: Object Detection Optimized on a 224mW CNN Accelerator Chip at the Speed of 106FPS

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Omniscient Video Super-Resolution

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Best-Buddy GANs for Highly Detailed Image Super-Resolution

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PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds

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On the hidden treasure of dialog in video question answering

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City-scale Scene Change Detection using Point Clouds

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Lifting Transformer for 3D Human Pose Estimation in Video

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LightSAL: Lightweight Sign Agnostic Learning for Implicit Surface Representation

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Learning from Pixel-Level Label Noise: A New Perspective for Semi-Supervised Semantic Segmentation

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City-scale Scene Change Detection using Point Clouds

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Lifting Transformer for 3D Human Pose Estimation in Video

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Marine Snow Removal Benchmarking Dataset

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Self-Attentive 3D Human Pose and Shape Estimation from Videos

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Equivariant Point Network for 3D Point Cloud Analysis

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CGPart: A Part Segmentation Dataset Based on 3D Computer Graphics Models

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