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?!

An Agent-Based Modelling Approach to Brain Drain

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Trading Signals In VIX Futures

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Pricing high-dimensional Bermudan options with hierarchical tensor formats

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Commentary on World Development Report 2020: Trading for Development in the Age of Global Value Chains

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No-Transaction Band Network: A Neural Network Architecture for Efficient Deep Hedging

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The LOB Recreation Model: Predicting the Limit Order Book from TAQ History Using an Ordinary Differential Equation Recurrent Neural Network

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Reducing the Volatility of Cryptocurrencies -- A Survey of Stablecoins

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Explainable AI in Credit Risk Management

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A combinatorial optimization approach to scenario filtering in portfolio selection

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Scale matters: The daily, weekly and monthly volatility and predictability of Bitcoin, Gold, and the S&P 500

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Confronting Machine Learning With Financial Research

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Forecasting high-frequency financial time series: an adaptive learning approach with the order book data

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A Comparison of Indonesia E-Commerce Sentiment Analysis for Marketing Intelligence Effort

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DeepSets and their derivative networks for solving symmetric PDEs

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Time Matters: Exploring the Effects of Urgency and Reaction Speed in Automated Traders

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Priming prosocial behavior and expectations in response to the Covid-19 pandemic -- Evidence from an online experiment

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Does Bankruptcy Protection Affect Asset Prices? Evidence from changes in Homestead Exemptions

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History-Augmented Collaborative Filtering for Financial Recommendations

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State Heterogeneity Analysis of Financial Volatility Using High-Frequency Financial Data

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The Dota 2 Bot Competition

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Morality, Machines and the Interpretation Problem: A value-based, Wittgensteinian approach to building Moral Agents

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Efficient UAV Trajectory-Planning using Economic Reinforcement Learning

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Graph Computing for Financial Crime and Fraud Detection: Trends, Challenges and Outlook

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A Comparative Evaluation of Quantification Methods

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Perceiver: General Perception with Iterative Attention

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Advances in Multi-turn Dialogue Comprehension: A Survey

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Universal Representation for Code

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Wide Graph Neural Networks: Aggregation Provably Leads to Exponentially Trainability Loss

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An empirical analysis of phrase-based and neural machine translation

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Benchmarking Deep Learning Classifiers: Beyond Accuracy

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Generalizing to Unseen Domains: A Survey on Domain Generalization

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Towards Designing Computer Vision-based Explainable-AI Solution: A Use Case of Livestock Mart Industry

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BM3D vs 2-Layer ONN

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Sub-pixel face landmarks using heatmaps and a bag of tricks

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Lost in Pruning: The Effects of Pruning Neural Networks beyond Test Accuracy

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SpectralDefense: Detecting Adversarial Attacks on CNNs in the Fourier Domain

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An Emotion-controlled Dialog Response Generation Model with Dynamic Vocabulary

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IACN: Influence-aware and Attention-based Co-evolutionary Network for Recommendation

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Morphset:Augmenting categorical emotion datasets with dimensional affect labels using face morphing

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A Novel Application of Image-to-Image Translation: Chromosome Straightening Framework by Learning from a Single Image

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STEP: Stochastic Traversability Evaluation and Planning for Safe Off-road Navigation

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Learning the Next Best View for 3D Point Clouds via Topological Features

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Structure-Preserving Progressive Low-rank Image Completion for Defending Adversarial Attacks

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A Robust Adversarial Network-Based End-to-End Communications System With Strong Generalization Ability Against Adversarial Attacks

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Video Sentiment Analysis with Bimodal Information-augmented Multi-Head Attention

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Design of an Affordable Prosthetic Arm Equipped with Deep Learning Vision-Based Manipulation

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Towards Open World Object Detection

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DeepFN: Towards Generalizable Facial Action Unit Recognition with Deep Face Normalization

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Decision-makers Processing of AI Algorithmic Advice: Automation Bias versus Selective Adherence

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Continuous Speech Separation with Ad Hoc Microphone Arrays

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Root cause prediction based on bug reports

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An Attention Based Neural Network for Code Switching Detection: English & Roman Urdu

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LQResNet: A Deep Neural Network Architecture for Learning Dynamic Processes

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Bulk Production Augmentation Towards Explainable Melanoma Diagnosis

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Decoding Event-related Potential from Ear-EEG Signals based on Ensemble Convolutional Neural Networks in Ambulatory Environment

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Auditory Attention Decoding from EEG using Convolutional Recurrent Neural Network

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Touchless Palmprint Recognition based on 3D Gabor Template and Block Feature Refinement

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Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series

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Two-Stage Framework for Seasonal Time Series Forecasting

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CogNet: Bridging Linguistic Knowledge, World Knowledge and Commonsense Knowledge

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Controlling the Sense of Agency in Dyadic Robot Interaction: An Active Inference Approach

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DeepFake-o-meter: An Open Platform for DeepFake Detection

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Adversarial Environment Generation for Learning to Navigate the Web

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Self-supervised Pretraining of Visual Features in the Wild

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Neural Production Systems

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TopicTracker: A Platform for Topic Trajectory Identification and Visualisation

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The Surprising Effectiveness of MAPPO in Cooperative, Multi-Agent Games

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Have We Learned to Explain?: How Interpretability Methods Can Learn to Encode Predictions in their Interpretations

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A Data-Centric Framework for Composable NLP Workflows

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IoT-Enabled Social Relationships Meet Artificial Social Intelligence

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Transform Network Architectures for Deep Learning based End-to-End Image/Video Coding in Subsampled Color Spaces

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Graph-Time Convolutional Neural Networks

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Exploiting latent representation of sparse semantic layers for improved short-term motion prediction with Capsule Networks

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An End-to-End Network for Emotion-Cause Pair Extraction

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Towards Efficiently Diversifying Dialogue Generation via Embedding Augmentation

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On Estimating Recommendation Evaluation Metrics under Sampling

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Tune-In: Training Under Negative Environments with Interference for Attention Networks Simulating Cocktail Party Effect

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Interpretable Hyperspectral AI: When Non-Convex Modeling meets Hyperspectral Remote Sensing

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AdeNet: Deep learning architecture that identifies damaged electrical insulators in power lines

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DeepMerge II: Building Robust Deep Learning Algorithms for Merging Galaxy Identification Across Domains

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Adversarial training in communication constrained federated learning

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Cryptonite: A Cryptic Crossword Benchmark for Extreme Ambiguity in Language

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Measuring Inconsistency over Sequences of Business Rule Cases

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A Bioinspired Retinal Neural Network for Accurately Extracting Small-Target Motion Information in Cluttered Backgrounds

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Explaining Adversarial Vulnerability with a Data Sparsity Hypothesis

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Learning Monopoly Gameplay: A Hybrid Model-Free Deep Reinforcement Learning and Imitation Learning Approach

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Multi-agent Reinforcement Learning in OpenSpiel: A Reproduction Report

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Lifelong Learning based Disease Diagnosis on Clinical Notes

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Knowledge-aware Zero-Shot Learning: Survey and Perspective

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Scalable Multiagent Driving Policies For Reducing Traffic Congestion

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Generative Adversarial Transformers

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Statistically Significant Stopping of Neural Network Training

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The Healthy States of America: Creating a Health Taxonomy with Social Media

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Deep Learning with a Classifier System: Initial Results

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OmniNet: Omnidirectional Representations from Transformers

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If Only We Had Better Counterfactual Explanations: Five Key Deficits to Rectify in the Evaluation of Counterfactual XAI Techniques

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Neural Code Summarization

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Machine learning on small size samples: A synthetic knowledge synthesis

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AdaSpeech: Adaptive Text to Speech for Custom Voice

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Am I a Real or Fake Celebrity? Measuring Commercial Face Recognition Web APIs under Deepfake Impersonation Attack

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Sandglasset: A Light Multi-Granularity Self-attentive Network For Time-Domain Speech Separation

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Reasons, Values, Stakeholders: A Philosophical Framework for Explainable Artificial Intelligence

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LocalDrop: A Hybrid Regularization for Deep Neural Networks

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Convolutional Normalization: Improving Deep Convolutional Network Robustness and Training

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High-Performance Training by Exploiting Hot-Embeddings in Recommendation Systems

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A Kinematic Bottleneck Approach For Pose Regression of Flexible Surgical Instruments directly from Images

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Distilling Knowledge via Intermediate Classifier Heads

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Knowledge-Base Enriched Word Embeddings for Biomedical Domain

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Ensemble Bootstrapping for Q-Learning

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Ultra-Data-Efficient GAN Training: Drawing A Lottery Ticket First, Then Training It Toughly

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Tiny Adversarial Mulit-Objective Oneshot Neural Architecture Search

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SUM: A Benchmark Dataset of Semantic Urban Meshes

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Transformers with Competitive Ensembles of Independent Mechanisms

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Walk2Map: Extracting Floor Plans from Indoor Walk Trajectories

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Incorporating Domain Knowledge into Deep Neural Networks

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Scalable Causal Transfer Learning

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NEUROSPF: A tool for the Symbolic Analysis of Neural Networks

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Transformer in Transformer

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CURE: Code-Aware Neural Machine Translation for Automatic Program Repair

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Potential Impacts of Smart Homes on Human Behavior: A Reinforcement Learning Approach

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Beyond Convolutions: A Novel Deep Learning Approach for Raw Seismic Data Ingestion

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Detection of Alzheimer's Disease Using Graph-Regularized Convolutional Neural Network Based on Structural Similarity Learning of Brain Magnetic Resonance Images

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Zero-Shot Learning Based on Knowledge Sharing

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MixSearch: Searching for Domain Generalized Medical Image Segmentation Architectures

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Motion Planning for a Pair of Tethered Robots

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Machine Biometrics -- Towards Identifying Machines in a Smart City Environment

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Understanding Robustness in Teacher-Student Setting: A New Perspective

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GenoML: Automated Machine Learning for Genomics

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Alleviation of Temperature Variation Induced Accuracy Degradation in Ferroelectric FinFET Based Neural Network

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Interpretable Artificial Intelligence through the Lens of Feature Interaction

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An Overview on Artificial Intelligence Techniques for Diagnosis of Schizophrenia Based on Magnetic Resonance Imaging Modalities: Methods, Challenges, and Future Works

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Neuromechanics-based Deep Reinforcement Learning of Neurostimulation Control in FES cycling

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Deep Graph Structure Learning for Robust Representations: A Survey

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The Transformer Network for the Traveling Salesman Problem

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Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation Framework

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Learning Accurate and Interpretable Decision Rule Sets from Neural Networks

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Learning to Predict with Supporting Evidence: Applications to Clinical Risk Prediction

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COIN: COmpression with Implicit Neural representations

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Self-supervised Geometric Perception

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Defending Medical Image Diagnostics against Privacy Attacks using Generative Methods

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Gaze-contingent decoding of human navigation intention on an autonomous wheelchair platform

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Convolutional versus Self-Organized Operational Neural Networks for Real-World Blind Image Denoising

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A Neural Text-to-Speech Model Utilizing Broadcast Data Mixed with Background Music

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Detecting Spurious Correlations with Sanity Tests for Artificial Intelligence Guided Radiology Systems

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PointGuard: Provably Robust 3D Point Cloud Classification

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Automated Detection of Coronary Artery Stenosis in X-ray Angiography using Deep Neural Networks

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An RL-Based Adaptive Detection Strategy to Secure Cyber-Physical Systems

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Learning With Context Feedback Loop for Robust Medical Image Segmentation

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Pandemic Drugs at Pandemic Speed: Accelerating COVID-19 Drug Discovery with Hybrid Machine Learning- and Physics-based Simulations on High Performance Computers

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Malware Classification with GMM-HMM Models

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Malware Classification Using Long Short-Term Memory Models

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Natural Language Understanding for Argumentative Dialogue Systems in the Opinion Building Domain

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Preventing Unauthorized Use of Proprietary Data: Poisoning for Secure Dataset Release

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Compute and memory efficient universal sound source separation

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A Novel Context-Aware Multimodal Framework for Persian Sentiment Analysis

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Scalable Learning With a Structural Recurrent Neural Network for Short-Term Traffic Prediction

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Chemistry-informed Macromolecule Graph Representation for Similarity Computation and Supervised Learning

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Land Cover Mapping in Limited Labels Scenario: A Survey

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Deep Learning for Virus-Spreading Forecasting: a Brief Survey

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Predicting Driver Fatigue in Automated Driving with Explainability

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Differentiable Neural Architecture Learning for Efficient Neural Network Design

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Understanding the Usability Challenges of Machine Learning In High-Stakes Decision Making

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Online Adversarial Attacks

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Improving Neural Networks for Time Series Forecasting using Data Augmentation and AutoML

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ICAM-reg: Interpretable Classification and Regression with Feature Attribution for Mapping Neurological Phenotypes in Individual Scans

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Enabling Visual Action Planning for Object Manipulation through Latent Space Roadmap

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Multi-view Audio and Music Classification

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Deep Recurrent Encoder: A scalable end-to-end network to model brain signals

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Energy-Based Learning for Scene Graph Generation

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Adaptive Consistency Regularization for Semi-Supervised Transfer Learning

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Task Aligned Generative Meta-learning for Zero-shot Learning

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Learning to Fly -- a Gym Environment with PyBullet Physics for Reinforcement Learning of Multi-agent Quadcopter Control

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Adversarial Examples for Unsupervised Machine Learning Models

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DM algorithms in healthindustry

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Physical Activity Recognition Based on a Parallel Approach for an Ensemble of Machine Learning and Deep Learning Classifiers

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Financial Crime & Fraud Detection Using Graph Computing: Application Considerations & Outlook

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Strategic Classification Made Practical

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Double Coverage with Machine-Learned Advice

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DeepCert: Verification of Contextually Relevant Robustness for Neural Network Image Classifiers

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Demystifying Batch Normalization in ReLU Networks: Equivalent Convex Optimization Models and Implicit Regularization

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A Survey On Universal Adversarial Attack

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Multi-Level Attention Pooling for Graph Neural Networks: Unifying Graph Representations with Multiple Localities

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ForceNet: A Graph Neural Network for Large-Scale Quantum Calculations

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Botcha: Detecting Malicious Non-Human Traffic in the Wild

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DeepReDuce: ReLU Reduction for Fast Private Inference

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Predicting Video with VQVAE

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Medical Imaging and Machine Learning

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Fixing Data Augmentation to Improve Adversarial Robustness

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Meta-Learning-Based Robust Adaptive Flight Control Under Uncertain Wind Conditions

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SoundCLR: Contrastive Learning of Representations For Improved Environmental Sound Classification

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Follow Your Nose -- Which Code Smells are Worth Chasing?

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Virufy: A Multi-Branch Deep Learning Network for Automated Detection of COVID-19

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A Novel CNN-LSTM-based Approach to Predict Urban Expansion

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Wasserstein GANs Work Because They Fail (to Approximate the Wasserstein Distance)

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Probabilistic Inference for Structural Health Monitoring: New Modes of Learning from Data

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Interpretable Multi-Modal Hate Speech Detection

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A Brief Survey on Deep Learning Based Data Hiding, Steganography and Watermarking

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Deep Learning strategies for ProtoDUNE raw data denoising

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Simulation-to-Real domain adaptation with teacher-student learning for endoscopic instrument segmentation

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Contextually Guided Convolutional Neural Networks for Learning Most Transferable Representations

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TransTailor: Pruning the Pre-trained Model for Improved Transfer Learning

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ActiveGuard: An Active DNN IP Protection Technique via Adversarial Examples

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Feature-Align Network and Knowledge Distillation for Efficient Denoising

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Audio-Visual Speech Separation Using Cross-Modal Correspondence Loss

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A Survey of Deep Learning Techniques for Weed Detection from Images

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There is More than Meets the Eye: Self-Supervised Multi-Object Detection and Tracking with Sound by Distilling Multimodal Knowledge

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Deep Bag-of-Sub-Emotions for Depression Detection in Social Media

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Understanding & Predicting User Lifetime with Machine Learning in an Anonymous Location-Based Social Network

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Robust 3D U-Net Segmentation of Macular Holes

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Automated data-driven approach for gap filling in the time series using evolutionary learning

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Extreme Volatility Prediction in Stock Market: When GameStop meets Long Short-Term Memory Networks

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Computing the Information Content of Trained Neural Networks

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Tax Evasion Risk Management Using a Hybrid Unsupervised Outlier Detection Method

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GaNDLF: A Generally Nuanced Deep Learning Framework for Scalable End-to-End Clinical Workflows in Medical Imaging

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On the Fairness of Generative Adversarial Networks (GANs)

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Automated Machine Learning on Graphs: A Survey

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Unsupervised Domain Adaptation for Cross-Subject Few-Shot Neurological Symptom Detection

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Machine learning for detection of stenoses and aneurysms: application in a physiologically realistic virtual patient database

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A Survey on Deep Semi-supervised Learning

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Topic Modelling Meets Deep Neural Networks: A Survey

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Adversarial Information Bottleneck

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A Brief Introduction to Generative Models

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Neural Architecture Search From Task Similarity Measure

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RA-GCN: Graph Convolutional Network for Disease Prediction Problems with Imbalanced Data

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Generative chemical transformer: attention makes neural machine learn molecular geometric structures via text

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Gradient Descent on Neural Networks Typically Occurs at the Edge of Stability

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Noncoding RNAs and deep learning neural network discriminate multi-cancer types

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Assessing deep learning methods for the identification of kidney stones in endoscopic images

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Automatic Cell Counting in Flourescent Microscopy Using Deep Learning

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BERT based patent novelty search by training claims to their own description

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CogDL: An Extensive Toolkit for Deep Learning on Graphs

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Cross Modal Focal Loss for RGBD Face Anti-Spoofing

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DR-TANet: Dynamic Receptive Temporal Attention Network for Street Scene Change Detection

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Panoramic Panoptic Segmentation: Towards Complete Surrounding Understanding via Unsupervised Contrastive Learning

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Query Rewriting via Cycle-Consistent Translation for E-Commerce Search

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The Mathematics Behind Spectral Clustering And The Equivalence To PCA

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Identification of Significant Permissions for Efficient Android Malware Detection

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Detection of Malicious Android Applications: Classical Machine Learning vs. Deep Neural Network Integrated with Clustering

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Virus-MNIST: A Benchmark Malware Dataset

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CREATe: Clinical Report Extraction and Annotation Technology

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Deepfakes Generation and Detection: State-of-the-art, open challenges, countermeasures, and way forward

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On Introducing Automatic Test Case Generation in Practice: A Success Story and Lessons Learned

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Training Generative Adversarial Networks in One Stage

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Medical Image Segmentation with Limited Supervision: A Review of Deep Network Models

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Alignment Knowledge Distillation for Online Streaming Attention-based Speech Recognition

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Exploiting Attention-based Sequence-to-Sequence Architectures for Sound Event Localization

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Online Behavioral Analysis with Application to Emotion State Identification

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A Novel Adaptive Deep Network for Building Footprint Segmentation

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COVID-19 Tweets Analysis through Transformer Language Models

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Super-resolution-based Change Detection Network with Stacked Attention Module for Images with Different Resolutions

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Deep Active Shape Model for Face Alignment and Pose Estimation

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What Doesn't Kill You Makes You Robust(er): Adversarial Training against Poisons and Backdoors

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Low-Precision Reinforcement Learning

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Experiments with Rich Regime Training for Deep Learning

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Safe Distributional Reinforcement Learning

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Neural Generalization of Multiple Kernel Learning

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Swift for TensorFlow: A portable, flexible platform for deep learning

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Graph-based Semi-supervised Learning: A Comprehensive Review

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A Meta-embedding-based Ensemble Approach for ICD Coding Prediction

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The NPU System for the 2020 Personalized Voice Trigger Challenge

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Towards Explaining Expressive Qualities in Piano Recordings: Transfer of Explanatory Features via Acoustic Domain Adaptation

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Sleep Apnea and Respiratory Anomaly Detection from a Wearable Band and Oxygen Saturation

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The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 Cough, COVID-19 Speech, Escalation & Primates

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Robot Navigation in a Crowd by Integrating Deep Reinforcement Learning and Online Planning

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Improving Robustness of Learning-based Autonomous Steering Using Adversarial Images

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Cybersecurity Threats in Connected and Automated Vehicles based Federated Learning Systems

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PharmKE: Knowledge Extraction Platform for Pharmaceutical Texts using Transfer Learning

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DeepSZ: Identification of Sunyaev-Zel'dovich Galaxy Clusters using Deep Learning

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Anycost GANs for Interactive Image Synthesis and Editing

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Enhanced 3D Human Pose Estimation from Videos by using Attention-Based Neural Network with Dilated Convolutions

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Contrastive Learning Meets Transfer Learning: A Case Study In Medical Image Analysis

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TPCN: Temporal Point Cloud Networks for Motion Forecasting

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CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image Segmentation

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Semi-supervised Left Atrium Segmentation with Mutual Consistency Training

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PC2WF: 3D Wireframe Reconstruction from Raw Point Clouds

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Learning Asynchronous and Sparse Human-Object Interaction in Videos

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A comprehensive survey on point cloud registration

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A Multi-Modal Respiratory Disease Exacerbation Prediction Technique Based on a Spatio-Temporal Machine Learning Architecture

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Self-supervised deep convolutional neural network for chest X-ray classification

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A Cross Channel Context Model for Latents in Deep Image Compression

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Worsening Perception: Real-time Degradation of Autonomous Vehicle Perception Performance for Simulation of Adverse Weather Conditions

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Neural 3D Video Synthesis

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House-GAN++: Generative Adversarial Layout Refinement Networks

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Style-based Point Generator with Adversarial Rendering for Point Cloud Completion

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On the role of depth predictions for 3D human pose estimation

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Vanishing Twin GAN: How training a weak Generative Adversarial Network can improve semi-supervised image classification

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EaZy Learning: An Adaptive Variant of Ensemble Learning for Fingerprint Liveness Detection

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Deblurring Processor for Motion-Blurred Faces Based on Generative Adversarial Networks

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An Alternative Practice of Tropical Convolution to Traditional Convolutional Neural Networks

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CloudAAE: Learning 6D Object Pose Regression with On-line Data Synthesis on Point Clouds

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Real-World Single Image Super-Resolution: A Brief Review

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RGB Matters: Learning 7-DoF Grasp Poses on Monocular RGBD Images

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Masked Face Recognition: Human vs. Machine

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WIT: Wikipedia-based Image Text Dataset for Multimodal Multilingual Machine Learning

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HED-UNet: Combined Segmentation and Edge Detection for Monitoring the Antarctic Coastline

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IdentityDP: Differential Private Identification Protection for Face Images

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Image/Video Deep Anomaly Detection: A Survey

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Using CNNs to Identify the Origin of Finger Vein Image

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Geometry-Guided Street-View Panorama Synthesis from Satellite Imagery

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A Comprehensive Study on Face Recognition Biases Beyond Demographics

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Real Masks and Fake Faces: On the Masked Face Presentation Attack Detection

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When Age-Invariant Face Recognition Meets Face Age Synthesis: A Multi-Task Learning Framework

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Patch-NetVLAD: Multi-Scale Fusion of Locally-Global Descriptors for Place Recognition

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Image-to-image Translation via Hierarchical Style Disentanglement

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Mixture of Volumetric Primitives for Efficient Neural Rendering

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Efficient Deep Image Denoising via Class Specific Convolution

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A Practical Framework for ROI Detection in Medical Images -- a case study for hip detection in anteroposterior pelvic radiographs

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Geometry-Based Grasping of Vine Tomatoes

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Systematic Analysis and Removal of Circular Artifacts for StyleGAN

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A Little Energy Goes a Long Way: Energy-Efficient, Accurate Conversion from Convolutional Neural Networks to Spiking Neural Networks

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Deep learning based geometric registration for medical images: How accurate can we get without visual features?

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FineNet: Frame Interpolation and Enhancement for Face Video Deblurring

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ADAADepth: Adapting Data Augmentation and Attention for Self-Supervised Monocular Depth Estimation

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Over-sampling De-occlusion Attention Network for Prohibited Items Detection in Noisy X-ray Images

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A Driving Behavior Recognition Model with Bi-LSTM and Multi-Scale CNN

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Single-Shot Motion Completion with Transformer

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Snowy Night-to-Day Translator and Semantic Segmentation Label Similarity for Snow Hazard Indicator

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Countering Malicious DeepFakes: Survey, Battleground, and Horizon

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FisheyeSuperPoint: Keypoint Detection and Description Network for Fisheye Images

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Pedestrian Motion State Estimation From 2D Pose

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Recursive Training for Zero-Shot Semantic Segmentation

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CrossMap Transformer: A Crossmodal Masked Path Transformer Using Double Back-Translation for Vision-and-Language Navigation

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Towards Unbiased COVID-19 Lesion Localisation and Segmentation via Weakly Supervised Learning

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Automatic evaluation of human oocyte developmental potential from microscopy images

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PA-ResSeg: A Phase Attention Residual Network for Liver Tumor Segmentation from Multi-phase CT Images

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Open-set Intersection Intention Prediction for Autonomous Driving

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CXR-Net: An Artificial Intelligence Pipeline for Quick Covid-19 Screening of Chest X-Rays

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DrNAS: Dirichlet Neural Architecture Search

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Using Deep Learning to Automate the Detection of Flaws in Nuclear Fuel Channel UT Scans

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Nested-block self-attention for robust radiotherapy planning segmentation

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Where to look at the movies : Analyzing visual attention to understand movie editing

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Dual-MTGAN: Stochastic and Deterministic Motion Transfer for Image-to-Video Synthesis

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Continuous Face Aging Generative Adversarial Networks

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Convolution-Free Medical Image Segmentation using Transformers

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