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?!

A Preliminary Study On the Sustainability of Android Malware Detection

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HD-cos Networks: Efficient Neural Architectures for Secure Multi-Party Computation

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10 Security and Privacy Problems in Self-Supervised Learning

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DOCKSTRING: easy molecular docking yields better benchmarks for ligand design

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Learning Personal Food Preferences via Food Logs Embedding

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Automatic Hand Sign Recognition: Identify Unusuality through Latent Cognizance

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A Comprehensive Study on Learning-Based PE Malware Family Classification Methods

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QDCNN: Quantum Dilated Convolutional Neural Network

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Navigating the Kaleidoscope of COVID-19 Misinformation Using Deep Learning

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LegalNLP -- Natural Language Processing methods for the Brazilian Legal Language

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Classification of hierarchical text using geometric deep learning: the case of clinical trials corpus

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LIDSNet: A Lightweight on-device Intent Detection model using Deep Siamese Network

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Detecting Gender Bias in Transformer-based Models: A Case Study on BERT

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Comparing Machine Learning-Centered Approaches for Forecasting Language Patterns During Frustration in Early Childhood

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BERMo: What can BERT learn from ELMo?

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On the Feasibility of Predicting Questions being Forgotten in Stack Overflow

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Adaptive Discretization in Online Reinforcement Learning

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RadBERT-CL: Factually-Aware Contrastive Learning For Radiology Report Classification

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Brick-by-Brick: Combinatorial Construction with Deep Reinforcement Learning

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Location-routing Optimisation for Urban Logistics Using Mobile Parcel Locker Based on Hybrid Q-Learning Algorithm

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A Pre-processing Method for Fairness in Ranking

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Topological Relational Learning on Graphs

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Does Momentum Help? A Sample Complexity Analysis

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Training Integrable Parameterizations of Deep Neural Networks in the Infinite-Width Limit

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Mixed Cooperative-Competitive Communication Using Multi-Agent Reinforcement Learning

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Collaborative Pure Exploration in Kernel Bandit

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Learning to Communicate with Reinforcement Learning for an Adaptive Traffic Control System

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Tractability from overparametrization: The example of the negative perceptron

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CAN-PINN: A Fast Physics-Informed Neural Network Based on Coupled-Automatic-Numerical Differentiation Method

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Hyperparameter Tuning is All You Need for LISTA

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Model-based Reinforcement Learning for Service Mesh Fault Resiliency in a Web Application-level

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Earning Sans Learning: Noisy Decision-Making and Labor Supply on Gig Economy Platforms

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Neural Networks as Kernel Learners: The Silent Alignment Effect

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Learning generative models for valid knockoffs using novel multivariate-rank based statistics

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Evaluation of an Anomaly Detector for Routers using Parameterizable Malware in an IoT Ecosystem

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Uncovering IP Address Hosting Types Behind Malicious Websites

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Backdoor Pre-trained Models Can Transfer to All

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EfficientWord-Net: An Open Source Hotword Detection Engine based on One-shot Learning

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Deep Learning in Human Activity Recognition with Wearable Sensors: A Review on Advances

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FastCover: An Unsupervised Learning Framework for Multi-Hop Influence Maximization in Social Networks

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Text Classification for Task-based Source Code Related Questions

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A multi-task learning-based optimization approach for finding diverse sets of material microstructures with desired properties and its application to texture optimization

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Robot Learning from Randomized Simulations: A Review

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Interpretable and Explainable Machine Learning for Materials Science and Chemistry

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STORM+: Fully Adaptive SGD with Momentum for Nonconvex Optimization

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Encoding Program as Image: Evaluating Visual Representation of Source Code

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Word embeddings for topic modeling: an application to the estimation of the economic policy uncertainty index

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A Scalable AutoML Approach Based on Graph Neural Networks

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Predicting Critical Biogeochemistry of the Southern Ocean for Climate Monitoring

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DSEE: Dually Sparsity-embedded Efficient Tuning of Pre-trained Language Models

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You are caught stealing my winning lottery ticket! Making a lottery ticket claim its ownership

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Adjacency constraint for efficient hierarchical reinforcement learning

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The CAT SET on the MAT: Cross Attention for Set Matching in Bipartite Hypergraphs

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ECG synthesis with Neural ODE and GAN models

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Identifying and mitigating bias in algorithms used to manage patients in a pandemic

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Using Google Trends as a proxy for occupant behavior to predict building energy consumption

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Efficiently Modeling Long Sequences with Structured State Spaces

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An Actor-Critic Method for Simulation-Based Optimization

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Automated Hyperparameter Optimization Challenge at CIKM 2021 AnalyticCup

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Classification of fetal compromise during labour: signal processing and feature engineering of the cardiotocograph

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Explainable Artificial Intelligence for Smart City Application: A Secure and Trusted Platform

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Intrusion Detection using Spatial-Temporal features based on Riemannian Manifold

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Large-Scale Deep Learning Optimizations: A Comprehensive Survey

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Artificial Intelligence in the Low-Level Realm -- A Survey

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A moment-matching metric for latent variable generative models

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Towards a theory of quantum gravity from neural networks

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Machine Learning aided Crop Yield Optimization

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PDE-READ: Human-readable Partial Differential Equation Discovery using Deep Learning

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HyperPINN: Learning parameterized differential equations with physics-informed hypernetworks

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A variance principle explains why dropout finds flatter minima

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SmartSplit: Latency-Energy-Memory Optimisation for CNN Splitting on Smartphone Environment

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ZeBRA: Precisely Destroying Neural Networks with Zero-Data Based Repeated Bit Flip Attack

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A Comparative Analysis of Machine Learning Algorithms for Intrusion Detection in Edge-Enabled IoT Networks

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Evaluating deep transfer learning for whole-brain cognitive decoding

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Zero-Shot Translation using Diffusion Models

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Realistic galaxy image simulation via score-based generative models

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A Framework for Real-World Multi-Robot Systems Running Decentralized GNN-Based Policies

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A Recommendation System to Enhance Midwives' Capacities in Low-Income Countries

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Don't Generate Me: Training Differentially Private Generative Models with Sinkhorn Divergence

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Sig-Wasserstein GANs for Time Series Generation

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Human-Level Control without Server-Grade Hardware

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Brain dynamics via Cumulative Auto-Regressive Self-Attention

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DeepParticle: learning invariant measure by a deep neural network minimizing Wasserstein distance on data generated from an interacting particle method

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Time Series Comparisons in Deep Space Network

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Provably efficient, succinct, and precise explanations

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Stochastic Online Linear Regression: the Forward Algorithm to Replace Ridge

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Characterizing and Understanding the Generalization Error of Transfer Learning with Gibbs Algorithm

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LogLAB: Attention-Based Labeling of Log Data Anomalies via Weak Supervision

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Designing Inherently Interpretable Machine Learning Models

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Spiking Generative Adversarial Networks With a Neural Network Discriminator: Local Training, Bayesian Models, and Continual Meta-Learning

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Modelling COVID-19 Pandemic Dynamics Using Transparent, Interpretable, Parsimonious and Simulatable (TIPS) Machine Learning Models: A Case Study from Systems Thinking and System Identification Perspectives

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Data-Driven System Identification of 6-DoF Ship Motion in Waves with Neural Networks

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Audacity of huge: overcoming challenges of data scarcity and data quality for machine learning in computational materials discovery

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Classifying YouTube Comments Based on Sentiment and Type of Sentence

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PhyloTransformer: A Discriminative Model for Mutation Prediction Based on a Multi-head Self-attention Mechanism

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Can We Achieve Fairness Using Semi-Supervised Learning?

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Predictive Auto-scaling with OpenStack Monasca

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Multi-Agent Deep Reinforcement Learning For Optimising Energy Efficiency of Fixed-Wing UAV Cellular Access Points

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Photometric Search for Exomoons by using Convolutional Neural Networks

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What Robot do I Need? Fast Co-Adaptation of Morphology and Control using Graph Neural Networks

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Decision Support Models for Predicting and Explaining Airport Passenger Connectivity from Data

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One Pass ImageNet

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A Survey on Epistemic (Model) Uncertainty in Supervised Learning: Recent Advances and Applications

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Binary classification of proteins by a Machine Learning approach

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A new method for binary classification of proteins with Machine Learning

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Conditional Attention Networks for Distilling Knowledge Graphs in Recommendation

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Spatiotemporal Weather Data Predictions with Shortcut Recurrent-Convolutional Networks: A Solution for the Weather4cast challenge

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Causal-BALD: Deep Bayesian Active Learning of Outcomes to Infer Treatment-Effects from Observational Data

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Improving Model Compatibility of Generative Adversarial Networks by Boundary Calibration

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Drop, Swap, and Generate: A Self-Supervised Approach for Generating Neural Activity

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Virus-MNIST: Machine Learning Baseline Calculations for Image Classification

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A Survey of Machine Learning Algorithms for Detecting Malware in IoT Firmware

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Learning suction graspability considering grasp quality and robot reachability for bin-picking

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An Information-Theoretic Framework for Identifying Age-Related Genes Using Human Dermal Fibroblast Transcriptome Data

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Decoupled coordinates for machine learning-based molecular fragment linking

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Causal versus Marginal Shapley Values for Robotic Lever Manipulation Controlled using Deep Reinforcement Learning

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Reducing the impact of out of vocabulary words in the translation of natural language questions into SPARQL queries

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Efficacy the of Confinement Policies on the COVID-19 Spread Dynamics in the Early Period of the Pandemic

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AlphaD3M: Machine Learning Pipeline Synthesis

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A Personalized Federated Learning Algorithm: an Application in Anomaly Detection

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Flood forecasting with machine learning models in an operational framework

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Data-Driven Market Segmentation in Hospitality Using Unsupervised Machine Learning

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Modeling Techniques for Machine Learning Fairness: A Survey

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A Unified Approach to Coreset Learning

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Introduction to Coresets: Approximated Mean

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Learning to Jump from Pixels

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Anticipation-driven Adaptive Architecture for Assisted Living

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What makes us curious? analysis of a corpus of open-domain questions

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VigDet: Knowledge Informed Neural Temporal Point Process for Coordination Detection on Social Media

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A Protocol for Emotions

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Deep convolutional forest: a dynamic deep ensemble approach for spam detection in text

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Paperswithtopic: Topic Identification from Paper Title Only

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Social Media Reveals Urban-Rural Differences in Stress across China

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Calling to CNN-LSTM for Rumor Detection: A Deep Multi-channel Model for Message Veracity Classification in Microblogs

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Deep Learning for Bias Detection: From Inception to Deployment

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E-Commerce Dispute Resolution Prediction

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CLAUSEREC: A Clause Recommendation Framework for AI-aided Contract Authoring

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Natural Language Processing for Smart Healthcare

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Guided Policy Search for Parameterized Skills using Adverbs

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Learning to Be Cautious

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Delayed Propagation Transformer: A Universal Computation Engine towards Practical Control in Cyber-Physical Systems

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Skyformer: Remodel Self-Attention with Gaussian Kernel and Nyström Method

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ReSkin: versatile, replaceable, lasting tactile skins

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Temporal-Spatial Feature Extraction Based on Convolutional Neural Networks for Travel Time Prediction

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Advanced Algorithms of Collision Free Navigation and Flocking for Autonomous UAVs

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How should human translation coexist with NMT? Efficient tool for building high quality parallel corpus

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One Step at a Time: Pros and Cons of Multi-Step Meta-Gradient Reinforcement Learning

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On Joint Learning for Solving Placement and Routing in Chip Design

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Intrusion Prevention through Optimal Stopping

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Long-Range Route-planning for Autonomous Vehicles in the Polar Oceans

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EmpBot: A T5-based Empathetic Chatbot focusing on Sentiments

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An Approach to Inference-Driven Dialogue Management within a Social Chatbot

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What Went Wrong? Explaining Overall Dialogue Quality through Utterance-Level Impacts

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Unsupervised Learning to Subphenotype Delirium Patients from Electronic Health Records

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R-BERT-CNN: Drug-target interactions extraction from biomedical literature

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Comparative Explanations of Recommendations

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Adaptive Multi-receptive Field Spatial-Temporal Graph Convolutional Network for Traffic Forecasting

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Validate on Sim, Detect on Real -- Model Selection for Domain Randomization

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Deep Learning Transformer Architecture for Named Entity Recognition on Low Resourced Languages: State of the art results

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Combining expert knowledge and neural networks to model environmental stresses in agriculture

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gtfs2vec -- Learning GTFS Embeddings for comparing Public Transport Offer in Microregions

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Hex2vec -- Context-Aware Embedding H3 Hexagons with OpenStreetMap Tags

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Transfer Learning Approach to Bicycle-sharing Systems' Station Location Planning using OpenStreetMap Data

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AutoDrone: Shortest Optimized Obstacle-Free Path Planning for Autonomous Drones

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A Decentralized Reinforcement Learning Framework for Efficient Passage of Emergency Vehicles

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JEDAI Explains Decision-Making AI

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Clinical Evidence Engine: Proof-of-Concept For A Clinical-Domain-Agnostic Decision Support Infrastructure

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An AI-powered Smart Routing Solution for Payment Systems

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Teaching Fairness, Accountability, Confidentiality, and Transparency in Artificial Intelligence through the Lens of Reproducibility

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Logic Rules Meet Deep Learning: A Novel Approach for Ship Type Classification

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Stakeholder Participation in AI: Beyond "Add Diverse Stakeholders and Stir"

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Hierarchical Decision Ensembles- An inferential framework for uncertain Human-AI collaboration in forensic examinations

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ASMDD: Arabic Speech Mispronunciation Detection Dataset

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Identifying causal associations in tweets using deep learning: Use case on diabetes-related tweets from 2017-2021

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On the Current and Emerging Challenges of Developing Fair and Ethical AI Solutions in Financial Services

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A Review of Dialogue Systems: From Trained Monkeys to Stochastic Parrots

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iCallee: Recovering Call Graphs for Binaries

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WaveSense: Efficient Temporal Convolutions with Spiking Neural Networks for Keyword Spotting

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Procedural Generalization by Planning with Self-Supervised World Models

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Predicting the Location of Bicycle-sharing Stations using OpenStreetMap Data

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Neural Program Generation Modulo Static Analysis

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Instructive artificial intelligence (AI) for human training, assistance, and explainability

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From Strings to Data Science: a Practical Framework for Automated String Handling

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A trained humanoid robot can perform human-like crossmodal social attention conflict resolution

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Predicting Cancer Using Supervised Machine Learning: Mesothelioma

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Discovering and Exploiting Sparse Rewards in a Learned Behavior Space

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OpenPrompt: An Open-source Framework for Prompt-learning

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Building Legal Datasets

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Image-Guided Navigation of a Robotic Ultrasound Probe for Autonomous Spinal Sonography Using a Shadow-aware Dual-Agent Framework

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Convolutional Motif Kernel Networks

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HoneyCar: A Framework to Configure Honeypot Vulnerabilities on the Internet of Vehicles

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Can I use this publicly available dataset to build commercial AI software? Most likely not

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Detecting Logical Relation In Contract Clauses

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Dehumanizing Voice Technology: Phonetic & Experiential Consequences of Restricted Human-Machine Interaction

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The Powerful Use of AI in the Energy Sector: Intelligent Forecasting

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Exploring Explainable AI in the Financial Sector: Perspectives of Banks and Supervisory Authorities

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A new step for computing

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Characterizing Human Explanation Strategies to Inform the Design of Explainable AI for Building Damage Assessment

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CoreLM: Coreference-aware Language Model Fine-Tuning

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Human Age Estimation from Gene Expression Data using Artificial Neural Networks

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Balanced Q-learning: Combining the Influence of Optimistic and Pessimistic Targets

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A Cyber Threat Intelligence Sharing Scheme based on Federated Learning for Network Intrusion Detection

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Convolutional generative adversarial imputation networks for spatio-temporal missing data in storm surge simulations

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Attacking Deep Reinforcement Learning-Based Traffic Signal Control Systems with Colluding Vehicles

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A Unified View of Relational Deep Learning for Polypharmacy Side Effect, Combination Synergy, and Drug-Drug Interaction Prediction

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B-Pref: Benchmarking Preference-Based Reinforcement Learning

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Whistleblower protection in the digital age -- why 'anonymous' is not enough. Towards an interdisciplinary view of ethical dilemmas

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Deep Artificial Intelligence for Fantasy Football Language Understanding

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Latent Cognizance: What Machine Really Learns

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AI-Powered Semantic Segmentation and Fluid Volume Calculation of Lung CT images in Covid-19 Patients

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Whole Brain Segmentation with Full Volume Neural Network

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3D-OOCS: Learning Prostate Segmentation with Inductive Bias

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Generational Frameshifts in Technology: Computer Science and Neurosurgery, The VR Use Case

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CVAD: A generic medical anomaly detector based on Cascade VAE

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Exposing Deepfake with Pixel-wise AR and PPG Correlation from Faint Signals

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Novel View Synthesis from a Single Image via Unsupervised learning

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Improving Camouflaged Object Detection with the Uncertainty of Pseudo-edge Labels

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Multi-target tracking for video surveillance using deep affinity network: a brief review

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Application of 2-D Convolutional Neural Networks for Damage Detection in Steel Frame Structures

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Visual Keyword Spotting with Attention

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A deep convolutional neural network for classification of Aedes albopictus mosquitoes

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DeepDoseNet: A Deep Learning model for 3D Dose Prediction in Radiation Therapy

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Mastering Atari Games with Limited Data

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Get Fooled for the Right Reason: Improving Adversarial Robustness through a Teacher-guided Curriculum Learning Approach

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Functional Neural Networks for Parametric Image Restoration Problems

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IGCN: Image-to-graph Convolutional Network for 2D/3D Deformable Registration

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Focal Attention Networks: optimising attention for biomedical image segmentation

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Learning to Detect Open Carry and Concealed Object with 77GHz Radar

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TorchXRayVision: A library of chest X-ray datasets and models

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Distantly Supervised Semantic Text Detection and Recognition for Broadcast Sports Videos Understanding

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Single-Item Fashion Recommender: Towards Cross-Domain Recommendations

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OctField: Hierarchical Implicit Functions for 3D Modeling

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Polyline Based Generative Navigable Space Segmentation for Autonomous Visual Navigation

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Deep Deterministic Uncertainty for Semantic Segmentation

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Visual Explanations for Convolutional Neural Networks via Latent Traversal of Generative Adversarial Networks

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PatchFormer: A Versatile 3D Transformer Based on Patch Attention

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A Spatio-Temporal Identity Verification Method for Person-Action Instance Search in Movies

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Two Heads are Better than One: Geometric-Latent Attention for Point Cloud Classification and Segmentation

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A Simple Approach to Image Tilt Correction with Self-Attention MobileNet for Smartphones

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Fully convolutional Siamese neural networks for buildings damage assessment from satellite images

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From Face to Gait: Weakly-Supervised Learning of Gender Information from Walking Patterns

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Recognizing Families In the Wild (RFIW): The 5th Edition

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Feature Aggregation and Refinement Network for 2D AnatomicalLandmark Detection

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Evaluation of Human and Machine Face Detection using a Novel Distinctive Human Appearance Dataset

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RMNet: Equivalently Removing Residual Connection from Networks

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Monocular 3D Reconstruction of Interacting Hands via Collision-Aware Factorized Refinements

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PP-ShiTu: A Practical Lightweight Image Recognition System

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Livestock Monitoring with Transformer

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LSTA-Net: Long short-term Spatio-Temporal Aggregation Network for Skeleton-based Action Recognition

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MEmoBERT: Pre-training Model with Prompt-based Learning for Multimodal Emotion Recognition

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DetectorNet: Transformer-enhanced Spatial Temporal Graph Neural Network for Traffic Prediction

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Hierarchical Image Classification with A Literally Toy Dataset

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PP-PicoDet: A Better Real-Time Object Detector on Mobile Devices

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Smart Fashion: A Review of AI Applications in the Fashion & Apparel Industry

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Sign-to-Speech Model for Sign Language Understanding: A Case Study of Nigerian Sign Language

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Projected GANs Converge Faster

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Render In-between: Motion Guided Video Synthesis for Action Interpolation

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A Unified View of cGANs with and without Classifiers

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MOST-GAN: 3D Morphable StyleGAN for Disentangled Face Image Manipulation

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FaceScape: 3D Facial Dataset and Benchmark for Single-View 3D Face Reconstruction

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FREGAN : an application of generative adversarial networks in enhancing the frame rate of videos

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Rebooting ACGAN: Auxiliary Classifier GANs with Stable Training

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Explainable Medical Image Segmentation via Generative Adversarial Networks and Layer-wise Relevance Propagation

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Progressive observation of Covid-19 vaccination effects on skin-cellular structures by use of Intelligent Laser Speckle Classification (ILSC)

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HRViT: Multi-Scale High-Resolution Vision Transformer

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Neural Scene Flow Prior

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Can Vision Transformers Perform Convolution?

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HHP-Net: A light Heteroscedastic neural network for Head Pose estimation with uncertainty

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Detect-and-Segment: a Deep Learning Approach to Automate Wound Image Segmentation

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Estimating 3D Motion and Forces of Human-Object Interactions from Internet Videos

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A Critical Study on the Recent Deep Learning Based Semi-Supervised Video Anomaly Detection Methods

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StyleGAN of All Trades: Image Manipulation with Only Pretrained StyleGAN

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Relational Self-Attention: What's Missing in Attention for Video Understanding

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Top1 Solution of QQ Browser 2021 Ai Algorithm Competition Track 1 : Multimodal Video Similarity

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Using Synthetic Images To Uncover Population Biases In Facial Landmarks Detection

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MixFace: Improving Face Verification Focusing on Fine-grained Conditions

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CPSeg: Cluster-free Panoptic Segmentation of 3D LiDAR Point Clouds

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Personalized One-Shot Lipreading for an ALS Patient

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3-D PET Image Generation with tumour masks using TGAN

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ML-PersRef: A Machine Learning-based Personalized Multimodal Fusion Approach for Referencing Outside Objects From a Moving Vehicle

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A dataset for multi-sensor drone detection

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Rethinking the Image Feature Biases Exhibited by Deep CNN Models

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Event and Activity Recognition in Video Surveillance for Cyber-Physical Systems

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FaceQvec: Vector Quality Assessment for Face Biometrics based on ISO Compliance

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Influence of image noise on crack detection performance of deep convolutional neural networks

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LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs

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Efficient 3D Deep LiDAR Odometry

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Discriminator Synthesis: On reusing the other half of Generative Adversarial Networks

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A Comparison of Deep Learning Models for the Prediction of Hand Hygiene Videos

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An Empirical Study of Training End-to-End Vision-and-Language Transformers

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Transparency of Deep Neural Networks for Medical Image Analysis: A Review of Interpretability Methods

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Skin Cancer Classification using Inception Network and Transfer Learning

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Slapping Cats, Bopping Heads, and Oreo Shakes: Understanding Indicators of Virality in TikTok Short Videos

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Automatic ultrasound vessel segmentation with deep spatiotemporal context learning

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Resampling and super-resolution of hexagonally sampled images using deep learning

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A semi-automatic ultrasound image analysis system for the grading diagnosis of COVID-19 pneumonia

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Deep Learning Methods for Daily Wildfire Danger Forecasting

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The role of MRI physics in brain segmentation CNNs: achieving acquisition invariance and instructive uncertainties

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Extended Abstract Version: CNN-based Human Detection System for UAVs in Search and Rescue

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Panoptic 3D Scene Reconstruction From a Single RGB Image

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Unified 3D Mesh Recovery of Humans and Animals by Learning Animal Exercise

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Improving Pose Estimation through Contextual Activity Fusion

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Towards Smart Monitored AM: Open Source in-Situ Layer-wise 3D Printing Image Anomaly Detection Using Histograms of Oriented Gradients and a Physics-Based Rendering Engine

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Facial Emotion Recognition using Deep Residual Networks in Real-World Environments

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FEAFA+: An Extended Well-Annotated Dataset for Facial Expression Analysis and 3D Facial Animation

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Online Continual Learning via Multiple Deep Metric Learning and Uncertainty-guided Episodic Memory Replay -- 3rd Place Solution for ICCV 2021 Workshop SSLAD Track 3A Continual Object Classification

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Fusing ASR Outputs in Joint Training for Speech Emotion Recognition

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Influence of ASR and Language Model on Alzheimer's Disease Detection

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CORAA: a large corpus of spontaneous and prepared speech manually validated for speech recognition in Brazilian Portuguese

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LSTM-RPA: A Simple but Effective Long Sequence Prediction Algorithm for Music Popularity Prediction

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Personalized breath based biometric authentication with wearable multimodality

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Improving Noise Robustness of Contrastive Speech Representation Learning with Speech Reconstruction

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Decision Attentive Regularization to Improve Simultaneous Speech Translation Systems

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VRAIN-UPV MLLP's system for the Blizzard Challenge 2021

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Speech Denoising Using Only Single Noisy Audio Samples

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Real-time Speaker counting in a cocktail party scenario using Attention-guided Convolutional Neural Network

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Speaker conditioning of acoustic models using affine transformation for multi-speaker speech recognition

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FANS: Fusing ASR and NLU for on-device SLU

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A transfer learning based approach for pronunciation scoring

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With a Little Help from my Temporal Context: Multimodal Egocentric Action Recognition

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Speech Emotion Recognition Using Quaternion Convolutional Neural Networks

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RefineGAN: Universally Generating Waveform Better than Ground Truth with Highly Accurate Pitch and Intensity Responses

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AVASpeech-SMAD: A Strongly Labelled Speech and Music Activity Detection Dataset with Label Co-Occurrence

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Recent Advances in End-to-End Automatic Speech Recognition

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Evaluating robustness of You Only Hear Once(YOHO) Algorithm on noisy audios in the VOICe Dataset

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Learning To Generate Piano Music With Sustain Pedals

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Attention-Guided Generative Adversarial Network for Whisper to Normal Speech Conversion

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CycleGAN with Dual Adversarial Loss for Bone-Conducted Speech Enhancement

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Synthesizing Speech from Intracranial Depth Electrodes using an Encoder-Decoder Framework

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Automatic Embedding of Stories Into Collections of Independent Media

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A Comparison of Discrete and Soft Speech Units for Improved Voice Conversion

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A Comparative Study of Speaker Role Identification in Air Traffic Communication Using Deep Learning Approaches

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Weight, Block or Unit? Exploring Sparsity Tradeoffs for Speech Enhancement on Tiny Neural Accelerators

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Voice Conversion Can Improve ASR in Very Low-Resource Settings

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A Fine-tuned Wav2vec 2.0/HuBERT Benchmark For Speech Emotion Recognition, Speaker Verification and Spoken Language Understanding

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WaveFake: A Data Set to Facilitate Audio Deepfake Detection

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Speech recognition for air traffic control via feature learning and end-to-end training

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FinEAS: Financial Embedding Analysis of Sentiment

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Impact of COVID-19 type events on the economy and climate under the stochastic DICE model

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Artificial Intelligence, Surveillance, and Big Data

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Employment Growth, Service Sector, and Manufacturing Value-Added in Sub-Saharan Africa

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Location inference on social media data for agile monitoring of public health crises: An application to opioid use and abuse during the Covid-19 pandemic

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Stock Price Prediction Using Time Series, Econometric, Machine Learning, and Deep Learning Models

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Parameterized Explanations for Investor / Company Matching

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Deep Learning Algorithms for Hedging with Frictions

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Feasibility trade-offs in decarbonisation of power sector with high coal dependence: A case of Korea

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Managing Innovation in Technical Education: Revisiting the Developmental Strategies of Politeknik Brunei

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