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?!
1. That looks useful!
2. That's an interesting approach!
3. A business could be built around this!
4. How did they do that?!
Visual Attention Prediction Improves Performance of Autonomous Drone Racing Agents
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Nonlocal Kernel Network (NKN): a Stable and Resolution-Independent Deep Neural Network
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Large-scale protein-protein post-translational modification extraction with distant supervision and confidence calibrated BioBERT
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Similarities and Differences between Machine Learning and Traditional Advanced Statistical Modeling in Healthcare Analytics
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Neighbor2vec: an efficient and effective method for Graph Embedding
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An Improved Mathematical Model of Sepsis: Modeling, Bifurcation Analysis, and Optimal Control Study for Complex Nonlinear Infectious Disease System
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Testing the Robustness of a BiLSTM-based Structural Story Classifier
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A Deep Learning Approach to Integrate Human-Level Understanding in a Chatbot
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Extraction of Product Specifications from the Web -- Going Beyond Tables and Lists
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Towards the Next 1000 Languages in Multilingual Machine Translation: Exploring the Synergy Between Supervised and Self-Supervised Learning
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Opportunities of Hybrid Model-based Reinforcement Learning for Cell Therapy Manufacturing Process Development and Control
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GridTuner: Reinvestigate Grid Size Selection for Spatiotemporal Prediction Models [Technical Report]
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IoTGAN: GAN Powered Camouflage Against Machine Learning Based IoT Device Identification
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Continual Learning of Long Topic Sequences in Neural Information Retrieval
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Morphological Analysis of Japanese Hiragana Sentences using the BI-LSTM CRF Model
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λ-Scaled-Attention: A Novel Fast Attention Mechanism for Efficient Modeling of Protein Sequences
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Causal Discovery from Sparse Time-Series Data Using Echo State Network
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FedDTG:Federated Data-Free Knowledge Distillation via Three-Player Generative Adversarial Networks
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Integration of Explainable Artificial Intelligence to Identify Significant Landslide Causal Factors for Extreme Gradient Boosting based Landslide Susceptibility Mapping with Improved Feature Selection
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A novel interpretable machine learning system to generate clinical risk scores: An application for predicting early mortality or unplanned readmission in a retrospective cohort study
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Sentiment Analysis with Deep Learning Models: A Comparative Study on a Decade of Sinhala Language Facebook Data
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PEPit: computer-assisted worst-case analyses of first-order optimization methods in Python
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ExBrainable: An Open-Source GUI for CNN-based EEG Decoding and Model Interpretation
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Systematic Literature Review: Quantum Machine Learning and its applications
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Spectrum Surveying: Active Radio Map Estimation with Autonomous UAVs
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Automated Reinforcement Learning (AutoRL): A Survey and Open Problems
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Active Reinforcement Learning -- A Roadmap Towards Curious Classifier Systems for Self-Adaptation
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Fighting Money Laundering with Statistics and Machine Learning: An Introduction and Review
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Two Wrongs Can Make a Right: A Transfer Learning Approach for Chemical Discovery with Chemical Accuracy
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GraphVAMPNet, using graph neural networks and variational approach to markov processes for dynamical modeling of biomolecules
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Predicting Terrorist Attacks in the United States using Localized News Data
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How Can Graph Neural Networks Help Document Retrieval: A Case Study on CORD19 with Concept Map Generation
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Towards a trustworthy, secure and reliable enclave for machine learning in a hospital setting: The Essen Medical Computing Platform (EMCP)
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Multi-task longitudinal forecasting with missing values on Alzheimer's Disease
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A robust kernel machine regression towards biomarker selection in multi-omics datasets of osteoporosis for drug discovery
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Generalized Kernel Ridge Regression for Long Term Causal Inference: Treatment Effects, Dose Responses, and Counterfactual Distributions
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Improving VAE based molecular representations for compound property prediction
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REST: Debiased Social Recommendation via Reconstructing Exposure Strategies
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Adherence Forecasting for Guided Internet-Delivered Cognitive Behavioral Therapy: A Minimally Data-Sensitive Approach
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Flood Prediction and Analysis on the Relevance of Features using Explainable Artificial Intelligence
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Applying Machine Learning and AI Explanations to Analyze Vaccine Hesitancy
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A Transfer Learning Pipeline for Educational Resource Discovery with Application in Leading Paragraph Generation
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Spatial-Temporal Sequential Hypergraph Network for Crime Prediction
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Predicting Patient Readmission Risk from Medical Text via Knowledge Graph Enhanced Multiview Graph Convolution
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Global Convergence Analysis of Deep Linear Networks with A One-neuron Layer
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PocketNN: Integer-only Training and Inference of Neural Networks via Direct Feedback Alignment and Pocket Activations in Pure C++
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LoMar: A Local Defense Against Poisoning Attack on Federated Learning
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A Multi-agent Reinforcement Learning Approach for Efficient Client Selection in Federated Learning
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Privacy-aware Early Detection of COVID-19 through Adversarial Training
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Semantic and sentiment analysis of selected Bhagavad Gita translations using BERT-based language framework
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Collaborative Reflection-Augmented Autoencoder Network for Recommender Systems
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Wind Park Power Prediction: Attention-Based Graph Networks and Deep Learning to Capture Wake Losses
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A Study on Mitigating Hard Boundaries of Decision-Tree-based Uncertainty Estimates for AI Models
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The Effects of Reward Misspecification: Mapping and Mitigating Misaligned Models
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Arguments about Highly Reliable Agent Designs as a Useful Path to Artificial Intelligence Safety
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Assisting Unknown Teammates in Unknown Tasks: Ad Hoc Teamwork under Partial Observability
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Resource recommender system performance improvement by exploring similar tags and detecting tags communities
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CI-AVSR: A Cantonese Audio-Visual Speech Dataset for In-car Command Recognition
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The Dataset Nutrition Label (2nd Gen): Leveraging Context to Mitigate Harms in Artificial Intelligence
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Learning Robust Policies for Generalized Debris Capture with an Automated Tether-Net System
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A Survey on Applications of Digital Human Avatars toward Virtual Co-presence
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Benchmarking Deep Reinforcement Learning Algorithms for Vision-based Robotics
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RGRecSys: A Toolkit for Robustness Evaluation of Recommender Systems
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GateFormer: Speeding Up News Feed Recommendation with Input Gated Transformers
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Human Evaluation of Conversations is an Open Problem: comparing the sensitivity of various methods for evaluating dialogue agents
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Nanowars can cause epidemic resurgence and fail to promote cooperation
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LP-BERT: Multi-task Pre-training Knowledge Graph BERT for Link Prediction
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Towards a Reference Software Architecture for Human-AI Teaming in Smart Manufacturing
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Persistent Homology for Breast Tumor Classification using Mammogram Scans
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CitySurfaces: City-Scale Semantic Segmentation of Sidewalk Materials
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Deep Generative Framework for Interactive 3D Terrain Authoring and Manipulation
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A Review of Deep Learning Techniques for Markerless Human Motion on Synthetic Datasets
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A Novel Incremental Learning Driven Instance Segmentation Framework to Recognize Highly Cluttered Instances of the Contraband Items
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BottleFit: Learning Compressed Representations in Deep Neural Networks for Effective and Efficient Split Computing
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SGUIE-Net: Semantic Attention Guided Underwater Image Enhancement with Multi-Scale Perception
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Learning class prototypes from Synthetic InSAR with Vision Transformers
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Lung infection and normal region segmentation from CT volumes of COVID-19 cases
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COVID-19 Infection Segmentation from Chest CT Images Based on Scale Uncertainty
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Systematic biases when using deep neural networks for annotating large catalogs of astronomical images
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MyoPS: A Benchmark of Myocardial Pathology Segmentation Combining Three-Sequence Cardiac Magnetic Resonance Images
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Fully automatic scoring of handwritten descriptive answers in Japanese language tests
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Head2Toe: Utilizing Intermediate Representations for Better Transfer Learning
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Development of Automatic Tree Counting Software from UAV Based Aerial Images With Machine Learning
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RARA: Zero-shot Sim2Real Visual Navigation with Following Foreground Cues
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Counteracting Dark Web Text-Based CAPTCHA with Generative Adversarial Learning for Proactive Cyber Threat Intelligence
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Self-aligned Spatial Feature Extraction Network for UAV Vehicle Re-identification
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Mushrooms Detection, Localization and 3D Pose Estimation using RGB-D Sensor for Robotic-picking Applications
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Spatio-Temporal Tuples Transformer for Skeleton-Based Action Recognition
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Agricultural Plant Cataloging and Establishment of a Data Framework from UAV-based Crop Images by Computer Vision
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Box2Seg: Learning Semantics of 3D Point Clouds with Box-Level Supervision
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Applying Artificial Intelligence for Age Estimation in Digital Forensic Investigations
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Pedestrian Detection: Domain Generalization, CNNs, Transformers and Beyond
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Swin transformers make strong contextual encoders for VHR image road extraction
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Why-So-Deep: Towards Boosting Previously Trained Models for Visual Place Recognition
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Vision in adverse weather: Augmentation using CycleGANs with various object detectors for robust perception in autonomous racing
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Avoiding Overfitting: A Survey on Regularization Methods for Convolutional Neural Networks
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3D Segmentation with Fully Trainable Gabor Kernels and Pearson's Correlation Coefficient
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Reciprocal Adversarial Learning for Brain Tumor Segmentation: A Solution to BraTS Challenge 2021 Segmentation Task
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Feature Extraction Framework based on Contrastive Learning with Adaptive Positive and Negative Samples
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Reproducing BowNet: Learning Representations by Predicting Bags of Visual Words
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NFANet: A Novel Method for Weakly Supervised Water Extraction from High-Resolution Remote Sensing Imagery
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Classification of Beer Bottles using Object Detection and Transfer Learning
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Efficient Non-Local Contrastive Attention for Image Super-Resolution
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Emotion Estimation from EEG -- A Dual Deep Learning Approach Combined with Saliency
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Where Is My Mind (looking at)? Predicting Visual Attention from Brain Activity
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Similarity-based Gray-box Adversarial Attack Against Deep Face Recognition
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Representing Videos as Discriminative Sub-graphs for Action Recognition
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MobilePhys: Personalized Mobile Camera-Based Contactless Physiological Sensing
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Towards Lightweight Neural Animation : Exploration of Neural Network Pruning in Mixture of Experts-based Animation Models
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Neural Capacitance: A New Perspective of Neural Network Selection via Edge Dynamics
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Get your Foes Fooled: Proximal Gradient Split Learning for Defense against Model Inversion Attacks on IoMT data
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ECONet: Efficient Convolutional Online Likelihood Network for Scribble-based Interactive Segmentation
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MDPose: Human Skeletal Motion Reconstruction Using WiFi Micro-Doppler Signatures
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Incidents1M: a large-scale dataset of images with natural disasters, damage, and incidents
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SCSNet: An Efficient Paradigm for Learning Simultaneously Image Colorization and Super-Resolution
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OCSampler: Compressing Videos to One Clip with Single-step Sampling
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SensatUrban: Learning Semantics from Urban-Scale Photogrammetric Point Clouds
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Recursive Least Squares for Training and Pruning Convolutional Neural Networks
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Toddler-Guidance Learning: Impacts of Critical Period on Multimodal AI Agents
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Semantic Labeling of Human Action For Visually Impaired And Blind People Scene Interaction
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Collision Detection: An Improved Deep Learning Approach Using SENet and ResNext
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A Survey on Masked Facial Detection Methods and Datasets for Fighting Against COVID-19
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Conditional Variational Autoencoder with Balanced Pre-training for Generative Adversarial Networks
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SnapshotNet: Self-supervised Feature Learning for Point Cloud Data Segmentation Using Minimal Labeled Data
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BridgeFormer: Bridging Video-text Retrieval with Multiple Choice Questions
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MetaDance: Few-shot Dancing Video Retargeting via Temporal-aware Meta-learning
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VoLux-GAN: A Generative Model for 3D Face Synthesis with HDRI Relighting
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Technical Report for ICCV 2021 Challenge SSLAD-Track3B: Transformers Are Better Continual Learners
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Multi-granularity Association Learning Framework for on-the-fly Fine-Grained Sketch-based Image Retrieval
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TransVOD: End-to-end Video Object Detection with Spatial-Temporal Transformers
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On Adversarial Robustness of Trajectory Prediction for Autonomous Vehicles
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Pushing the limits of self-supervised ResNets: Can we outperform supervised learning without labels on ImageNet?
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STEdge: Self-training Edge Detection with Multi-layer Teaching and Regularization
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Automatic Speech Recognition Datasets in Cantonese Language: A Survey and a New Dataset
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Audio representations for deep learning in sound synthesis: A review
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Cross-Modal ASR Post-Processing System for Error Correction and Utterance Rejection
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A study on cross-corpus speech emotion recognition and data augmentation
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An Ensemble of Deep Learning Frameworks Applied For Predicting Respiratory Anomalies
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CVSS Corpus and Massively Multilingual Speech-to-Speech Translation
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Learning to Enhance or Not: Neural Network-Based Switching of Enhanced and Observed Signals for Overlapping Speech Recognition
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Music2Video: Automatic Generation of Music Video with fusion of audio and text
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Sound Dr -- A database of Respiratory Sound and Baseline System for COVID-19 Detection
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Comparison of Classification Algorithms for COVID19 Detection using Cough Acoustic Signals
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The Effectiveness of Time Stretching for Enhancing Dysarthric Speech for Improved Dysarthric Speech Recognition
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Portfolio selection models based on interval-valued conditional value at risk (ICVaR) and empirical analysis
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The Turing Trap: The Promise & Peril of Human-Like Artificial Intelligence
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Exit, Voice and Political Change: Evidence from Swedish Mass Migration to the United States; A Comment
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Stock Movement Prediction Based on Bi-typed and Hybrid-relational Market Knowledge Graph via Dual Attention Networks
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Modeling Time-to-Event Contingent Cash Flows: A Discrete-Time Survival Analysis Approach
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