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?!

Complex decision-making strategies in a stock market experiment explained as the combination of few simple strategies

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Learning Organization using Conversational Social Network for Social Customer Relationship Management Effort

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Financial factors selection with knockoffs: fund replication, explanatory and prediction networks

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A Bayesian Graphical Approach for Large-Scale Portfolio Management with Fewer Historical Data

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Portfolio risk allocation through Shapley value

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The Physics of Financial Networks

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Urban Epidemic Hazard Index for Chinese Cities: Why Did Small Cities Become Epidemic Hotspots?

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The Determinants of Democracy Revisited: An Instrumental Variable Bayesian Model Averaging Approach

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Does automation erode governments' tax basis? An empirical assessment of tax revenues in Europe

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Deep Hedging, Generative Adversarial Networks, and Beyond

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3D Head-Position Prediction in First-Person View by Considering Head Pose for Human-Robot Eye Contact

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A Vision Based Deep Reinforcement Learning Algorithm for UAV Obstacle Avoidance

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The AI Index 2021 Annual Report

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What is Multimodality?

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CoMoGAN: continuous model-guided image-to-image translation

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COVID-19 Smart Chatbot Prototype for Patient Monitoring

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ENTRUST: Argument Reframing with Language Models and Entailment

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A Quadratic Actor Network for Model-Free Reinforcement Learning

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Integrated Age Estimation Mechanism

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Adversarial Laser Beam: Effective Physical-World Attack to DNNs in a Blink

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3D Human Pose, Shape and Texture from Low-Resolution Images and Videos

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DAFAR: Detecting Adversaries by Feedback-Autoencoder Reconstruction

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Generalizable Episodic Memory for Deep Reinforcement Learning

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Emerging Paradigms of Neural Network Pruning

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Full Page Handwriting Recognition via Image to Sequence Extraction

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Topical Language Generation using Transformers

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HOT-VAE: Learning High-Order Label Correlation for Multi-Label Classification via Attention-Based Variational Autoencoders

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User-centered Evaluation of Popularity Bias in Recommender Systems

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A Relational-learning Perspective to Multi-label Chest X-ray Classification

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Using Cognitive Models to Train Warm Start Reinforcement Learning Agents for Human-Computer Interactions

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The whole brain architecture approach: Accelerating the development of artificial general intelligence by referring to the brain

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A New K means Grey Wolf Algorithm for Engineering Problems

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On complementing end-to-end human motion predictors with planning

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Towards Learning an Unbiased Classifier from Biased Data via Conditional Adversarial Debiasing

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Automatic Speaker Independent Dysarthric Speech Intelligibility Assessment System

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GraphBreak: Tool for Network Community based Regulatory Medicine, Gene co-expression, Linkage Disequilibrium analysis, functional annotation and more

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MixMo: Mixing Multiple Inputs for Multiple Outputs via Deep Subnetworks

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BCFNet: A Balanced Collaborative Filtering Network with Attention Mechanism

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Designing Disaggregated Evaluations of AI Systems: Choices, Considerations, and Tradeoffs

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Improving Sequential Recommendation with Attribute-augmented Graph Neural Networks

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DeepCPCFG: Deep Learning and Context Free Grammars for End-to-End Information Extraction

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RL-CSDia: Representation Learning of Computer Science Diagrams

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ZYELL-NCTU NetTraffic-1.0: A Large-Scale Dataset for Real-World Network Anomaly Detection

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Analyzing Human Models that Adapt Online

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The AI Arena: A Framework for Distributed Multi-Agent Reinforcement Learning

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Automatic code generation from sketches of mobile applications in end-user development using Deep Learning

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An Amharic News Text classification Dataset

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Efficient Algorithms for Global Inference in Internet Marketplaces

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Challenges for Reinforcement Learning in Healthcare

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Low-level cognitive skill transfer between two individuals' minds via computer game-based framework

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Did Chatbots Miss Their 'Apollo Moment'? A Survey of the Potential, Gaps and Lessons from Using Collaboration Assistants During COVID-19

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When is it permissible for artificial intelligence to lie? A trust-based approach

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I am Robot: Neuromuscular Reinforcement Learning to Actuate Human Limbs through Functional Electrical Stimulation

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BASAR:Black-box Attack on Skeletal Action Recognition

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Pretrained Transformers as Universal Computation Engines

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A Scavenger Hunt for Service Robots

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Deep Learning-based High-precision Depth Map Estimation from Missing Viewpoints for 360 Degree Digital Holography

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Explanations in Autonomous Driving: A Survey

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Knowledge Evolution in Neural Networks

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Benchmarking Off-The-Shelf Solutions to Robotic Assembly Tasks

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AfriVEC: Word Embedding Models for African Languages. Case Study of Fon and Nobiin

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Contemplating real-world object classification

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Model Complexity of Deep Learning: A Survey

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Classification and Feature Transformation with Fuzzy Cognitive Maps

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Multiple Instance Captioning: Learning Representations from Histopathology Textbooks and Articles

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Deep Neural Networks for the Assessment of Surgical Skills: A Systematic Review

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Deep Learning Based Decision Support for Medicine -- A Case Study on Skin Cancer Diagnosis

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Image Captioning using Multiple Transformers for Self-Attention Mechanism

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Video Action Recognition Using spatio-temporal optical flow video frames

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A Survey of Embodied AI: From Simulators to Research Tasks

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Greedy Hierarchical Variational Autoencoders for Large-Scale Video Prediction

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Injecting Knowledge in Data-driven Vehicle Trajectory Predictors

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Coverage based testing for V&V and Safety Assurance of Self-driving Autonomous Vehicles: A Systematic Literature Review

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Learning Human Rewards by Inferring Their Latent Intelligence Levels in Multi-Agent Games: A Theory-of-Mind Approach with Application to Driving Data

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Counterfactuals and Causability in Explainable Artificial Intelligence: Theory, Algorithms, and Applications

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Causal Analysis of Agent Behavior for AI Safety

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Learning to Represent and Predict Sets with Deep Neural Networks

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A Comparative Approach to Explainable Artificial Intelligence Methods in Application to High-Dimensional Electronic Health Records: Examining the Usability of XAI

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Instabilities of Offline RL with Pre-Trained Neural Representation

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Model-based versus Model-free Deep Reinforcement Learning for Autonomous Racing Cars

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Scale invariant robot behavior with fractals

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A Case for 3D Integrated System Design for Neuromorphic Computing & AI Applications

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Adversarial Reinforcement Learning for Procedural Content Generation

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Relationship-based Neural Baby Talk

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HANDS: A Multimodal Dataset for Modeling Towards Human Grasp Intent Inference in Prosthetic Hands

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District Wise Price Forecasting of Wheat in Pakistan using Deep Learning

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Helicopter Track Identification with Autoencoder

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Towards Human-Like Automated Test Generation: Perspectives from Cognition and Problem Solving

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Unsupervised Object-Based Transition Models for 3D Partially Observable Environments

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Comparing Popular Simulation Environments in the Scope of Robotics and Reinforcement Learning

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CheXseen: Unseen Disease Detection for Deep Learning Interpretation of Chest X-rays

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Real-world Ride-hailing Vehicle Repositioning using Deep Reinforcement Learning

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Let's be friends! A rapport-building 3D embodied conversational agent for the Human Support Robot

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Adaptive Agent Architecture for Real-time Human-Agent Teaming

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TransBTS: Multimodal Brain Tumor Segmentation Using Transformer

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Multimodal VAE Active Inference Controller

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Expert System Gradient Descent Style Training: Development of a Defensible Artificial Intelligence Technique

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ARVo: Learning All-Range Volumetric Correspondence for Video Deblurring

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RNA Alternative Splicing Prediction with Discrete Compositional Energy Network

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End-to-end optimized image compression for multiple machine tasks

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The Prevalence of Code Smells in Machine Learning projects

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A Real-time Low-cost Artificial Intelligence System for Autonomous Spraying in Palm Plantations

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Analysis and Assessment of Controllability of an Expressive Deep Learning-based TTS system

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Show Me What You Can Do: Capability Calibration on Reachable Workspace for Human-Robot Collaboration

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Putting Humans in the Natural Language Processing Loop: A Survey

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Reinforcement Learning, Bit by Bit

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NeRD: Neural Representation of Distribution for Medical Image Segmentation

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Fibrosis-Net: A Tailored Deep Convolutional Neural Network Design for Prediction of Pulmonary Fibrosis Progression from Chest CT Images

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FedV: Privacy-Preserving Federated Learning over Vertically Partitioned Data

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Hybrid Car-Following Strategy based on Deep Deterministic Policy Gradient and Cooperative Adaptive Cruise Control

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Precise Multi-Neuron Abstractions for Neural Network Certification

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Challenges of engineering safe and secure highly automated vehicles

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Human-Understandable Decision Making for Visual Recognition

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Cognitive Homeostatic Agents

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Measuring Mathematical Problem Solving With the MATH Dataset

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OperA: Attention-Regularized Transformers for Surgical Phase Recognition

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PalmTree: Learning an Assembly Language Model for Instruction Embedding

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MalBERT: Using Transformers for Cybersecurity and Malicious Software Detection

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A Convolutional Architecture for 3D Model Embedding

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Contrastive Disentanglement in Generative Adversarial Networks

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Use of Transfer Learning and Wavelet Transform for Breast Cancer Detection

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Extend the FFmpeg Framework to Analyze Media Content

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Unsupervised Learning for Robust Fitting:A Reinforcement Learning Approach

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IOT: Instance-wise Layer Reordering for Transformer Structures

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Structured Scene Memory for Vision-Language Navigation

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An Effective Loss Function for Generating 3D Models from Single 2D Image without Rendering

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Neural model robustness for skill routing in large-scale conversational AI systems: A design choice exploration

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Predicting Kidney Transplant Survival using Multiple Feature Representations for HLAs

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Remember What You Want to Forget: Algorithms for Machine Unlearning

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Should Graph Neural Networks Use Features, Edges, Or Both?

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BODAME: Bilevel Optimization for Defense Against Model Extraction

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Deep Transfer Learning for Infectious Disease Case Detection Using Electronic Medical Records

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LSTMs and Deep Residual Networks for Carbohydrate and Bolus Recommendations in Type 1 Diabetes Management

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Inference for Generative Capsule Models

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Analyzing the Hidden Activations of Deep Policy Networks: Why Representation Matters

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Unknown Object Segmentation from Stereo Images

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Learning Word-Level Confidence For Subword End-to-End ASR

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Diagnosing Vulnerability of Variational Auto-Encoders to Adversarial Attacks

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An unsupervised deep learning framework for medical image denoising

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Tracking Air Pollution in China: Near Real-Time PM2.5 Retrievals from Multiple Data Sources

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Drone-as-a-Service Composition Under Uncertainty

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Level-aware Haze Image Synthesis by Self-Supervised Content-Style Disentanglement

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Robust High-speed Running for Quadruped Robots via Deep Reinforcement Learning

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SAR-U-Net: squeeze-and-excitation block and atrous spatial pyramid pooling based residual U-Net for automatic liver CT segmentation

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Disentangled Representation Learning for Astronomical Chemical Tagging

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Face Images as Jigsaw Puzzles: Compositional Perception of Human Faces for Machines Using Generative Adversarial Networks

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TANTRA: Timing-Based Adversarial Network Traffic Reshaping Attack

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Learning-Based Vulnerability Analysis of Cyber-Physical Systems

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Super-Resolving Beyond Satellite Hardware Using Realistically Degraded Images

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CreativeGAN: Editing Generative Adversarial Networks for Creative Design Synthesis

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Range-GAN: Range-Constrained Generative Adversarial Network for Conditioned Design Synthesis

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Learning to Generate Music With Sentiment

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Symmetry meets AI

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Deep learning methods for screening patients' S-ICD implantation eligibility

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Robustness to Pruning Predicts Generalization in Deep Neural Networks

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Full Gradient DQN Reinforcement Learning: A Provably Convergent Scheme

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Inverse Reinforcement Learning of Autonomous Behaviors Encoded as Weighted Finite Automata

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Sampling methods for efficient training of graph convolutional networks: A survey

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BIKED: A Dataset and Machine Learning Benchmarks for Data-Driven Bicycle Design

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Beyond Nyströmformer -- Approximation of self-attention by Spectral Shifting

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CUAD: An Expert-Annotated NLP Dataset for Legal Contract Review

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Semi-supervised Learning for COVID-19 Image Classification via ResNet

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Regressive Domain Adaptation for Unsupervised Keypoint Detection

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Stay on Topic, Please: Aligning User Comments to the Content of a News Article

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Fusing Medical Image Features and Clinical Features with Deep Learning for Computer-Aided Diagnosis

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Learning a Domain-Agnostic Visual Representation for Autonomous Driving via Contrastive Loss

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Topology Applied to Machine Learning: From Global to Local

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A Comparison of Word2Vec, HMM2Vec, and PCA2Vec for Malware Classification

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Machine Learning the period finding algorithm

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Combining Context-Free and Contextualized Representations for Arabic Sarcasm Detection and Sentiment Identification

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Transfer Learning Can Outperform the True Prior in Double Descent Regularization

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Discrete Function Bases and Convolutional Neural Networks

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hls4ml: An Open-Source Codesign Workflow to Empower Scientific Low-Power Machine Learning Devices

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More data or more parameters? Investigating the effect of data structure on generalization

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UnICORNN: A recurrent model for learning very long time dependencies

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Multimodal fusion using sparse CCA for breast cancer survival prediction

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HemCNN: Deep Learning enables decoding of fNIRS cortical signals in hand grip motor tasks

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Inter-subject Deep Transfer Learning for Motor Imagery EEG Decoding

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A Mask R-CNN approach to counting bacterial colony forming units in pharmaceutical development

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Memory-Efficient, Limb Position-Aware Hand Gesture Recognition using Hyperdimensional Computing

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Learning to Play Soccer From Scratch: Sample-Efficient Emergent Coordination through Curriculum-Learning and Competition

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ForgeryNet: A Versatile Benchmark for Comprehensive Forgery Analysis

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NeX: Real-time View Synthesis with Neural Basis Expansion

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Robust Black-box Watermarking for Deep NeuralNetwork using Inverse Document Frequency

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CNN-based Spoken Term Detection and Localization without Dynamic Programming

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Extended Task and Motion Planning of Long-horizon Robot Manipulation

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BERTese: Learning to Speak to BERT

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Deep Learning for Android Malware Defenses: a Systematic Literature Review

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Enhancing sensor resolution improves CNN accuracy given the same number of parameters or FLOPS

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GAN Vocoder: Multi-Resolution Discriminator Is All You Need

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Stabilized Medical Image Attacks

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Prediction of 5-year Progression-Free Survival in Advanced Nasopharyngeal Carcinoma with Pretreatment PET/CT using Multi-Modality Deep Learning-based Radiomics

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Generative Transition Mechanism to Image-to-Image Translation via Encoded Transformation

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ASL to PET Translation by a Semi-supervised Residual-based Attention-guided Convolutional Neural Network

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Deep reinforcement learning in medical imaging: A literature review

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Application of Transfer Learning to Sign Language Recognition using an Inflated 3D Deep Convolutional Neural Network

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Highly Efficient Representation and Active Learning Framework for Imbalanced Data and its Application to COVID-19 X-Ray Classification

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Risk Prediction on Traffic Accidents using a Compact Neural Model for Multimodal Information Fusion over Urban Big Data

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CovidGAN: Data Augmentation Using Auxiliary Classifier GAN for Improved Covid-19 Detection

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Learning Connectivity for Data Distribution in Robot Teams

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Optimal Program Synthesis Over Noisy Data

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Automatic Cause Detection of Performance Problems in Web Applications

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Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models

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A Crash Course on Reinforcement Learning

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Empirical comparison between autoencoders and traditional dimensionality reduction methods

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Vision-Based Mobile Robotics Obstacle Avoidance With Deep Reinforcement Learning

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Predictive Coding Can Do Exact Backpropagation on Any Neural Network

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Distributed Reinforcement Learning for Flexible and Efficient UAV Swarm Control

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Toward Semi-Automatic Misconception Discovery Using Code Embeddings

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Auto-tuning of Deep Neural Networks by Conflicting Layer Removal

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Routing Towards Discriminative Power of Class Capsules

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Contextual Dropout: An Efficient Sample-Dependent Dropout Module

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Learning to Continually Learn Rapidly from Few and Noisy Data

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Visual Explanation using Attention Mechanism in Actor-Critic-based Deep Reinforcement Learning

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Low-Rank Isomap Algorithm

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NF-GNN: Network Flow Graph Neural Networks for Malware Detection and Classification

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Pufferfish: Communication-efficient Models At No Extra Cost

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labelCloud: A Lightweight Domain-Independent Labeling Tool for 3D Object Detection in Point Clouds

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Deep learning, machine vision in agriculture in 2021

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CDLNet: Robust and Interpretable Denoising Through Deep Convolutional Dictionary Learning

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DDGC: Generative Deep Dexterous Grasping in Clutter

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Augmenting High-dimensional Nonlinear Optimization with Conditional GANs

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Weather Analogs with a Machine Learning Similarity Metric for Renewable Resource Forecasting

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Improving Global Adversarial Robustness Generalization With Adversarially Trained GAN

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Repurposing GANs for One-shot Semantic Part Segmentation

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Network Representation Learning: From Traditional Feature Learning to Deep Learning

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The impact of online machine-learning methods on long-term investment decisions and generator utilization in electricity markets

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Bio-JOIE: Joint Representation Learning of Biological Knowledge Bases

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Hierarchical Self Attention Based Autoencoder for Open-Set Human Activity Recognition

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T-Miner: A Generative Approach to Defend Against Trojan Attacks on DNN-based Text Classification

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Multitasking Deep Learning Model for Detection of Five Stages of Diabetic Retinopathy

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Molecular modeling with machine-learned universal potential functions

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A novel approach to the classification of terrestrial drainage networks based on deep learning and preliminary results on Solar System bodies

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Applying Machine Learning in Self-Adaptive Systems: A Systematic Literature Review

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Investigating on Incorporating Pretrained and Learnable Speaker Representations for Multi-Speaker Multi-Style Text-to-Speech

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Convolution Neural Network Hyperparameter Optimization Using Simplified Swarm Optimization

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AudioVisual Speech Synthesis: A brief literature review

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A Pilot Study on Visually-Stimulated Cognitive Tasks for EEG-Based Dementia Recognition Using Frequency and Time Features

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Loss Estimators Improve Model Generalization

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Deeply supervised UNet for semantic segmentation to assist dermatopathological assessment of Basal Cell Carcinoma (BCC)

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Predictive Coding Can Do Exact Backpropagation on Convolutional and Recurrent Neural Networks

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Analyzing the Influence of Dataset Composition for Emotion Recognition

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Compositional Explanations for Image Classifiers

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DeepFreight: A Model-free Deep-reinforcement-learning-based Algorithm for Multi-transfer Freight Delivery

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Unified Robust Training for Graph NeuralNetworks against Label Noise

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Attention is Not All You Need: Pure Attention Loses Rank Doubly Exponentially with Depth

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CLAIMED, a visual and scalable component library for Trusted AI

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Can You Fix My Neural Network? Real-Time Adaptive Waveform Synthesis for Resilient Wireless Signal Classification

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Sequence-based deep learning antibody design for in silico antibody affinity maturation

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FedDis: Disentangled Federated Learning for Unsupervised Brain Pathology Segmentation

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Episodic memory governs choices: An RNN-based reinforcement learning model for decision-making task

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Autocalibration and Tweedie-dominance for Insurance Pricing with Machine Learning

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Multilingual Byte2Speech Text-To-Speech Models Are Few-shot Spoken Language Learners

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Prediction of financial time series using LSTM and data denoising methods

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A Novel Framework for Threat Analysis of Machine Learning-based Smart Healthcare Systems

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Nutrition5k: Towards Automatic Nutritional Understanding of Generic Food

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WaveGuard: Understanding and Mitigating Audio Adversarial Examples

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PVG at WASSA 2021: A Multi-Input, Multi-Task, Transformer-Based Architecture for Empathy and Distress Prediction

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SMPLicit: Topology-aware Generative Model for Clothed People

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Coming Down to Earth: Satellite-to-Street View Synthesis for Geo-Localization

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ChallenCap: Monocular 3D Capture of Challenging Human Performances using Multi-Modal References

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Real-Time Surface Fitting to RGBD Sensor Data

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MagFace: A Universal Representation for Face Recognition and Quality Assessment

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Privacy-preserving Object Detection

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Preprint: Norm Loss: An efficient yet effective regularization method for deep neural networks

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PointFlow: Flowing Semantics Through Points for Aerial Image Segmentation

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PREPRINT: Comparison of deep learning and hand crafted features for mining simulation data

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DualPoseNet: Category-level 6D Object Pose and Size Estimation using Dual Pose Network with Refined Learning of Pose Consistency

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Read Like Humans: Autonomous, Bidirectional and Iterative Language Modeling for Scene Text Recognition

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Pavement Distress Detection and Segmentation using YOLOv4 and DeepLabv3 on Pavements in the Philippines

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Robust 2D/3D Vehicle Parsing in CVIS

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Holistic 3D Scene Understanding from a Single Image with Implicit Representation

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Structure-From-Motion and RGBD Depth Fusion

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A learning-based view extrapolation method for axial super-resolution

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A Study of Face Obfuscation in ImageNet

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Dynamical Pose Estimation

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Sim2Real 3D Object Classification using Spherical Kernel Point Convolution and a Deep Center Voting Scheme

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Adversarial Regression Learning for Bone Age Estimation

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Deep Superpixel Cut for Unsupervised Image Segmentation

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Model-free Vehicle Tracking and State Estimation in Point Cloud Sequences

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DSEC: A Stereo Event Camera Dataset for Driving Scenarios

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COLA-Net: Collaborative Attention Network for Image Restoration

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TransMed: Transformers Advance Multi-modal Medical Image Classification

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AttaNet: Attention-Augmented Network for Fast and Accurate Scene Parsing

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MapFusion: A General Framework for 3D Object Detection with HDMaps

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Learning to compose 6-DoF omnidirectional videos using multi-sphere images

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Are we using appropriate segmentation metrics? Identifying correlates of human expert perception for CNN training beyond rolling the DICE coefficient

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Weak labels and anatomical knowledge: making deep learning practical for intracranial aneurysm detection in TOF-MRA

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U-Net Transformer: Self and Cross Attention for Medical Image Segmentation

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Contrastive Neural Architecture Search with Neural Architecture Comparators

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Pixel-wise Anomaly Detection in Complex Driving Scenes

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Deep Learning based 3D Segmentation: A Survey

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Weather GAN: Multi-Domain Weather Translation Using Generative Adversarial Networks

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ChangeSim: Towards End-to-End Online Scene Change Detection in Industrial Indoor Environments

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Understanding the Robustness of Skeleton-based Action Recognition under Adversarial Attack

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Thumbnail: A Novel Data Augmentation for Convolutional Neural Network

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Open-book Video Captioning with Retrieve-Copy-Generate Network

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Uncertainty-aware Incremental Learning for Multi-organ Segmentation

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Deep and Statistical Learning in Biomedical Imaging: State of the Art in 3D MRI Brain Tumor Segmentation

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Analysis of Convolutional Decoder for Image Caption Generation

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Machine-learning based methodologies for 3d x-ray measurement, characterization and optimization for buried structures in advanced ic packages

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Dual-Task Mutual Learning for Semi-Supervised Medical Image Segmentation

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You Only Learn Once: Universal Anatomical Landmark Detection

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U-DuDoNet: Unpaired dual-domain network for CT metal artifact reduction

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One-Shot Medical Landmark Detection

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Incremental Learning for Multi-organ Segmentation with Partially Labeled Datasets

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Predictive Visual Tracking: A New Benchmark and Baseline Approach

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OPANAS: One-Shot Path Aggregation Network Architecture Search for Object Detection

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Fully Convolutional Geometric Features for Category-level Object Alignment

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Snapshot Compressive Imaging: Principle, Implementation, Theory, Algorithms and Applications

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What If We Only Use Real Datasets for Scene Text Recognition? Toward Scene Text Recognition With Fewer Labels

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IRON: Invariant-based Highly Robust Point Cloud Registration

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Spatial-Spectral Feedback Network for Super-Resolution of Hyperspectral Imagery

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ERASOR: Egocentric Ratio of Pseudo Occupancy-based Dynamic Object Removal for Static 3D Point Cloud Map Building

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Learn to Differ: Sim2Real Small Defection Segmentation Network

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RFN-Nest: An end-to-end residual fusion network for infrared and visible images

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Virtual Normal: Enforcing Geometric Constraints for Accurate and Robust Depth Prediction

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WebFace260M: A Benchmark Unveiling the Power of Million-Scale Deep Face Recognition

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Noisy Label Learning for Large-scale Medical Image Classification

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ClassSR: A General Framework to Accelerate Super-Resolution Networks by Data Characteristic

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Learning to Predict Vehicle Trajectories with Model-based Planning

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PISE: Person Image Synthesis and Editing with Decoupled GAN

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Simultaneously Localize, Segment and Rank the Camouflaged Objects

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Sparse LiDAR and Stereo Fusion (SLS-Fusion) for Depth Estimationand 3D Object Detection

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Attention-Enhanced Cross-Task Network for Analysing Multiple Attributes of Lung Nodules in CT

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Exploring a Makeup Support System for Transgender Passing based on Automatic Gender Recognition

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Deepfake Videos in the Wild: Analysis and Detection

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GANav: Group-wise Attention Network for Classifying Navigable Regions in Unstructured Outdoor Environments

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Graph-based Pyramid Global Context Reasoning with a Saliency-aware Projection for COVID-19 Lung Infections Segmentation

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Memory-efficient Learning for High-Dimensional MRI Reconstruction

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Disambiguating Affective Stimulus Associations for Robot Perception and Dialogue

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Generating Images with Sparse Representations

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Fast Interactive Video Object Segmentation with Graph Neural Networks

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An Application-Driven Conceptualization of Corner Cases for Perception in Highly Automated Driving

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Real-time RGBD-based Extended Body Pose Estimation

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Effects of Image Compression on Face Image Manipulation Detection: A Case Study on Facial Retouching

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Self-supervised Mean Teacher for Semi-supervised Chest X-ray Classification

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IAFA: Instance-aware Feature Aggregation for 3D Object Detection from a Single Image

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Teachers Do More Than Teach: Compressing Image-to-Image Models

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Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images

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PolarNet: Accelerated Deep Open Space Segmentation Using Automotive Radar in Polar Domain

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Learning High Fidelity Depths of Dressed Humans by Watching Social Media Dance Videos

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A Deep Learning Approach to Mapping Irrigation: IrrMapper-U-Net

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GraphMineSuite: Enabling High-Performance and Programmable Graph Mining Algorithms with Set Algebra

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Slow-Fast Auditory Streams For Audio Recognition

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Rover Relocalization for Mars Sample Return by Virtual Template Synthesis and Matching

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