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?!

Fund2Vec: Mutual Funds Similarity using Graph Learning

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Stock Market Analysis with Text Data: A Review

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Next-Day Bitcoin Price Forecast Based on Artificial intelligence Methods

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Learning Multiple Stock Trading Patterns with Temporal Routing Adaptor and Optimal Transport

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Pricing American options with the Runge-Kutta-Legendre finite difference scheme

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Bailouts in Financial Networks

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The Effectiveness of Strategies to Contain SARS-CoV-2: Testing, Vaccinations, and NPIs

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Bitcoin's Crypto Flow Newtork

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Doctors and Nurses Social Media Ads Reduced Holiday Travel and COVID-19 infections: A cluster randomized controlled trial in 13 States

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Active labour market policies for the long-term unemployed: New evidence from causal machine learning

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Proof-of-Work Cryptocurrencies: Does Mining Technology Undermine Decentralization?

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Chances for the honest in honest versus insider trading

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AudioCLIP: Extending CLIP to Image, Text and Audio

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SofaMyRoom: a fast and multiplatform "shoebox" room simulator for binaural room impulse response dataset generation

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Speech is Silver, Silence is Golden: What do ASVspoof-trained Models Really Learn?

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Non-Autoregressive TTS with Explicit Duration Modelling for Low-Resource Highly Expressive Speech

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Where are we in semantic concept extraction for Spoken Language Understanding?

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QASR: QCRI Aljazeera Speech Resource -- A Large Scale Annotated Arabic Speech Corpus

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Multilingual transfer of acoustic word embeddings improves when training on languages related to the target zero-resource language

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Deep Neural Network Based Respiratory Pathology Classification Using Cough Sounds

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Glance and Gaze: A Collaborative Learning Framework for Single-channel Speech Enhancement

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Multi-accent Speech Separation with One Shot Learning

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Key-Sparse Transformer with Cascaded Cross-Attention Block for Multimodal Speech Emotion Recognition

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Attention-based cross-modal fusion for audio-visual voice activity detection in musical video streams

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Deep neural network Based Low-latency Speech Separation with Asymmetric analysis-Synthesis Window Pair

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Improving Ultrasound Tongue Image Reconstruction from Lip Images Using Self-supervised Learning and Attention Mechanism

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Analysis and Tuning of a Voice Assistant System for Dysfluent Speech

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Information Retrieval for ZeroSpeech 2021: The Submission by University of Wroclaw

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Advances in Speech Vocoding for Text-to-Speech with Continuous Parameters

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Improving robustness of one-shot voice conversion with deep discriminative speaker encoder

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UniTTS: Residual Learning of Unified Embedding Space for Speech Style Control

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Towards sound based testing of COVID-19 -- Summary of the first Diagnostics of COVID-19 using Acoustics (DiCOVA) Challenge

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Non-native English lexicon creation for bilingual speech synthesis

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Glow-WaveGAN: Learning Speech Representations from GAN-based Variational Auto-Encoder For High Fidelity Flow-based Speech Synthesis

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Synchronising speech segments with musical beats in Mandarin and English singing

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Improving Performance of Seen and Unseen Speech Style Transfer in End-to-end Neural TTS

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A learned conditional prior for the VAE acoustic space of a TTS system

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PixInWav: Residual Steganography for Hiding Pixels in Audio

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Multi-mode Transformer Transducer with Stochastic Future Context

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Video Swin Transformer

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GaussiGAN: Controllable Image Synthesis with 3D Gaussians from Unposed Silhouettes

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FitVid: Overfitting in Pixel-Level Video Prediction

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Exploring Corruption Robustness: Inductive Biases in Vision Transformers and MLP-Mixers

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VOLO: Vision Outlooker for Visual Recognition

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Unsupervised Learning of Depth and Depth-of-Field Effect from Natural Images with Aperture Rendering Generative Adversarial Networks

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SGTBN: Generating Dense Depth Maps from Single-Line LiDAR

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Evaluation of deep lift pose models for 3D rodent pose estimation based on geometrically triangulated data

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Attention Toward Neighbors: A Context Aware Framework for High Resolution Image Segmentation

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Unsupervised Deep Image Stitching: Reconstructing Stitched Features to Images

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Detection of Deepfake Videos Using Long Distance Attention

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Towards Automatic Speech to Sign Language Generation

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Video Super-Resolution with Long-Term Self-Exemplars

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Multi-Modal 3D Object Detection in Autonomous Driving: a Survey

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All You Need is a Second Look: Towards Arbitrary-Shaped Text Detection

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Topological Semantic Mapping by Consolidation of Deep Visual Features

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Florida Wildlife Camera Trap Dataset

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Handwritten Digit Recognition using Machine and Deep Learning Algorithms

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Towards Fully Interpretable Deep Neural Networks: Are We There Yet?

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Advancing biological super-resolution microscopy through deep learning: a brief review

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VinDr-SpineXR: A deep learning framework for spinal lesions detection and classification from radiographs

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A Systematic Collection of Medical Image Datasets for Deep Learning

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AVHYAS: A Free and Open Source QGIS Plugin for Advanced Hyperspectral Image Analysis

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A Global Appearance and Local Coding Distortion based Fusion Framework for CNN based Filtering in Video Coding

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FusionPainting: Multimodal Fusion with Adaptive Attention for 3D Object Detection

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Fine-Tuning StyleGAN2 For Cartoon Face Generation

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Transformer Meets Convolution: A Bilateral Awareness Net-work for Semantic Segmentation of Very Fine Resolution Ur-ban Scene Images

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Vision Permutator: A Permutable MLP-Like Architecture for Visual Recognition

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Estimating the Robustness of Classification Models by the Structure of the Learned Feature-Space

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3D human tongue reconstruction from single "in-the-wild" images

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Deep unsupervised 3D human body reconstruction from a sparse set of landmarks

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Image-to-Image Translation of Synthetic Samples for Rare Classes

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Real-time Instance Segmentation with Discriminative Orientation Maps

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Region-Aware Network: Model Human's Top-Down Visual Perception Mechanism for Crowd Counting

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Bootstrap Representation Learning for Segmentation on Medical Volumes and Sequences

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LegoFormer: Transformers for Block-by-Block Multi-view 3D Reconstruction

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Reachability Analysis of Convolutional Neural Networks

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Automatic Head Overcoat Thickness Measure with NASNet-Large-Decoder Net

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Listen to Your Favorite Melodies with img2Mxml, Producing MusicXML from Sheet Music Image by Measure-based Multimodal Deep Learning-driven Assembly

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Team PyKale (xy9) Submission to the EPIC-Kitchens 2021 Unsupervised Domain Adaptation Challenge for Action Recognition

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Transfer Learning of Deep Spatiotemporal Networks to Model Arbitrarily Long Videos of Seizures

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FoldIt: Haustral Folds Detection and Segmentation in Colonoscopy Videos

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High-Throughput Precision Phenotyping of Left Ventricular Hypertrophy with Cardiovascular Deep Learning

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Learning from Pseudo Lesion: A Self-supervised Framework for COVID-19 Diagnosis

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A Review of Assistive Technologies for Activities of Daily Living of Elderly

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Deformed2Self: Self-Supervised Denoising for Dynamic Medical Imaging

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CxSE: Chest X-ray Slow Encoding CNN forCOVID-19 Diagnosis

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MetaAvatar: Learning Animatable Clothed Human Models from Few Depth Images

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Domain-Smoothing Network for Zero-Shot Sketch-Based Image Retrieval

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nuPlan: A closed-loop ML-based planning benchmark for autonomous vehicles

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A Review of the Vision-based Approaches for Dietary Assessment

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RGB2Hands: Real-Time Tracking of 3D Hand Interactions from Monocular RGB Video

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Zero-Shot Chinese Character Recognition with Stroke-Level Decomposition

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Part-Aware Measurement for Robust Multi-View Multi-Human 3D Pose Estimation and Tracking

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A Comparison for Patch-level Classification of Deep Learning Methods on Transparent Images: from Convolutional Neural Networks to Visual Transformers

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Hand-Drawn Electrical Circuit Recognition using Object Detection and Node Recognition

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DocFormer: End-to-End Transformer for Document Understanding

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Deep3DPose: Realtime Reconstruction of Arbitrarily Posed Human Bodies from Single RGB Images

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Spatial-Temporal Super-Resolution of Satellite Imagery via Conditional Pixel Synthesis

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SeqNetVLAD vs PointNetVLAD: Image Sequence vs 3D Point Clouds for Day-Night Place Recognition

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VoxelEmbed: 3D Instance Segmentation and Tracking with Voxel Embedding based Deep Learning

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Gait analysis with curvature maps: A simulation study

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Normalized Avatar Synthesis Using StyleGAN and Perceptual Refinement

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Photozilla: A Large-Scale Photography Dataset and Visual Embedding for 20 Photography Styles

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FDeblur-GAN: Fingerprint Deblurring using Generative Adversarial Network

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Trinity: A No-Code AI platform for complex spatial datasets

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MIMIR: Deep Regression for Automated Analysis of UK Biobank Body MRI

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A Survey on Human-aware Robot Navigation

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Dive into Deep Learning

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Context-aware PolyUNet for Liver and Lesion Segmentation from Abdominal CT Images

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Towards Long-Form Video Understanding

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TokenLearner: What Can 8 Learned Tokens Do for Images and Videos?

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The Arm-Swing Is Discriminative in Video Gait Recognition for Athlete Re-Identification

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Neural Marching Cubes

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Applying VertexShuffle Toward 360-Degree Video Super-Resolution on Focused-Icosahedral-Mesh

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Multi-VAE: Learning Disentangled View-common and View-peculiar Visual Representations for Multi-view Clustering

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Automatic Plant Cover Estimation with CNNs Automatic Plant Cover Estimation with Convolutional Neural Networks

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OadTR: Online Action Detection with Transformers

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FP-Age: Leveraging Face Parsing Attention for Facial Age Estimation in the Wild

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Classification of Documents Extracted from Images with Optical Character Recognition Methods

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SODA10M: Towards Large-Scale Object Detection Benchmark for Autonomous Driving

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CLIP2Video: Mastering Video-Text Retrieval via Image CLIP

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One Million Scenes for Autonomous Driving: ONCE Dataset

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SHREC 2021: Track on Skeleton-based Hand Gesture Recognition in the Wild

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Hard hat wearing detection based on head keypoint localization

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Surgical data science for safe cholecystectomy: a protocol for segmentation of hepatocystic anatomy and assessment of the critical view of safety

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Confidence-Guided Radiology Report Generation

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Total Generate: Cycle in Cycle Generative Adversarial Networks for Generating Human Faces, Hands, Bodies, and Natural Scenes

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An End-to-End Khmer Optical Character Recognition using Sequence-to-Sequence with Attention

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Moving in a 360 World: Synthesizing Panoramic Parallaxes from a Single Panorama

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Two-Stream Consensus Network: Submission to HACS Challenge 2021 Weakly-Supervised Learning Track

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3D Object Detection for Autonomous Driving: A Survey

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Structured Sparse R-CNN for Direct Scene Graph Generation

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DiGS : Divergence guided shape implicit neural representation for unoriented point clouds

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Neighborhood Contrastive Learning for Novel Class Discovery

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Automated Deepfake Detection

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Plant Disease Detection Using Image Processing and Machine Learning

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Exploring Semantic Relationships for Unpaired Image Captioning

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FloorPP-Net: Reconstructing Floor Plans using Point Pillars for Scan-to-BIM

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Attack to Fool and Explain Deep Networks

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VQA-Aid: Visual Question Answering for Post-Disaster Damage Assessment and Analysis

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Video Summarization through Reinforcement Learning with a 3D Spatio-Temporal U-Net

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CompConv: A Compact Convolution Module for Efficient Feature Learning

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Humble Teachers Teach Better Students for Semi-Supervised Object Detection

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Attend What You Need: Motion-Appearance Synergistic Networks for Video Question Answering

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Neural Network Facial Authentication for Public Electric Vehicle Charging Station

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Dynamical Deep Generative Latent Modeling of 3D Skeletal Motion

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Single View Physical Distance Estimation using Human Pose

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Attention-based Neural Network for Driving Environment Complexity Perception

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Domain and Modality Gaps for LiDAR-based Person Detection on Mobile Robots

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Leveraging Conditional Generative Models in a General Explanation Framework of Classifier Decisions

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Brain tumor grade classification Using LSTM Neural Networks with Domain Pre-Transforms

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Implementing a Detection System for COVID-19 based on Lung Ultrasound Imaging and Deep Learning

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One-to-many Approach for Improving Super-Resolution

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Deep Generative Learning via Schrödinger Bridge

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End-to-end Temporal Action Detection with Transformer

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How to train your ViT? Data, Augmentation, and Regularization in Vision Transformers

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A Dynamic Spatial-temporal Attention Network for Early Anticipation of Traffic Accidents

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Toward Fault Detection in Industrial Welding Processes with Deep Learning and Data Augmentation

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All You Can Embed: Natural Language based Vehicle Retrieval with Spatio-Temporal Transformers

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Training or Architecture? How to Incorporate Invariance in Neural Networks

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EPIC-KITCHENS-100 Unsupervised Domain Adaptation Challenge for Action Recognition 2021: Team M3EM Technical Report

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HifiFace: 3D Shape and Semantic Prior Guided High Fidelity Face Swapping

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A Framework for Real-time Traffic Trajectory Tracking, Speed Estimation, and Driver Behavior Calibration at Urban Intersections Using Virtual Traffic Lanes

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Medical Matting: A New Perspective on Medical Segmentation with Uncertainty

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Analyzing Adversarial Robustness of Deep Neural Networks in Pixel Space: a Semantic Perspective

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Deep reinforcement learning with automated label extraction from clinical reports accurately classifies 3D MRI brain volumes

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DeepLab2: A TensorFlow Library for Deep Labeling

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World-GAN: a Generative Model for Minecraft Worlds

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Evolving GANs: When Contradictions Turn into Compliance

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Development of a conversing and body temperature scanning autonomously navigating robot to help screen for COVID-19

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Synthetic COVID-19 Chest X-ray Dataset for Computer-Aided Diagnosis

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PyKale: Knowledge-Aware Machine Learning from Multiple Sources in Python

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The Option Keyboard: Combining Skills in Reinforcement Learning

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Model-Based Reinforcement Learning via Latent-Space Collocation

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Towards Understanding and Mitigating Social Biases in Language Models

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CCC/Code 8.7: Applying AI in the Fight Against Modern Slavery

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Real-time Spatio-temporal Event Detection on Geotagged Social Media

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Pre-training transformer-based framework on large-scale pediatric claims data for downstream population-specific tasks

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Autonomous Driving Strategies at Intersections: Scenarios, State-of-the-Art, and Future Outlooks

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RikoNet: A Novel Anime Recommendation Engine

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Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting

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Optimizing piano practice with a utility-based scaffold

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rSoccer: A Framework for Studying Reinforcement Learning in Small and Very Small Size Robot Soccer

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Reimagining GNN Explanations with ideas from Tabular Data

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ADAVI: Automatic Dual Amortized Variational Inference Applied To Pyramidal Bayesian Models

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Not all users are the same: Providing personalized explanations for sequential decision making problems

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Synthetic Benchmarks for Scientific Research in Explainable Machine Learning

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Classifying Textual Data with Pre-trained Vision Models through Transfer Learning and Data Transformations

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AC/DC: Alternating Compressed/DeCompressed Training of Deep Neural Networks

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Should You Go Deeper? Optimizing Convolutional Neural Network Architectures without Training by Receptive Field Analysis

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PALRACE: Reading Comprehension Dataset with Human Data and Labeled Rationales

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Prevention and Resolution of Conflicts in Social Navigation -- a Survey

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Reinforcement learning for PHY layer communications

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Knowing How to Plan

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Collective Argumentation: The Case of Aggregating Support-Relations of Bipolar Argumentation Frameworks

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Evaluating Team Skill Aggregation in Online Competitive Games

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Cogment: Open Source Framework For Distributed Multi-actor Training, Deployment & Operations

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Speeding Up OPFython with Numba

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Evo* 2021 -- Late-Breaking Abstracts Volume

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Knowledge from Probability

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KaggleDBQA: Realistic Evaluation of Text-to-SQL Parsers

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Efficient Inference via Universal LSH Kernel

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Online Handbook of Argumentation for AI: Volume 2

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Optimal personalised treatment computation through in silico clinical trials on patient digital twins

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Score-Based Explanations in Data Management and Machine Learning: An Answer-Set Programming Approach to Counterfactual Analysis

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Multi-Task Learning for User Engagement and Adoption in Live Video Streaming Events

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Boundary Graph Neural Networks for 3D Simulations

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On fine-tuning of Autoencoders for Fuzzy rule classifiers

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Decadal Forecasts with ResDMD: a Residual DMD Neural Network

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QuaPy: A Python-Based Framework for Quantification

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Performance Evaluation of Classification Models for Household Income, Consumption and Expenditure Data Set

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Know Your Model (KYM): Increasing Trust in AI and Machine Learning

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Teaching Machine Learning in K-12 Computing Education: Potential and Pitfalls

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Hard Choices in Artificial Intelligence

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Wheelchair automation by a hybrid BCI system using SSVEP and eye blinks

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On the Importance of Environments in Human-Robot Coordination

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Pay Better Attention to Attention: Head Selection in Multilingual and Multi-Domain Sequence Modeling

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A Comprehensive Review on Non-Neural Networks Collaborative Filtering Recommendation Systems

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Sample Efficient Social Navigation Using Inverse Reinforcement Learning

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Less is More: Feature Selection for Adversarial Robustness with Compressive Counter-Adversarial Attacks

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Self-supervised Incremental Deep Graph Learning for Ethereum Phishing Scam Detection

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Predicting gender of Brazilian names using deep learning

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Labelling Drifts in a Fault Detection System for Wind Turbine Maintenance

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An Improved Single Step Non-autoregressive Transformer for Automatic Speech Recognition

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LNN-EL: A Neuro-Symbolic Approach to Short-text Entity Linking

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CIRA Guide to Custom Loss Functions for Neural Networks in Environmental Sciences -- Version 1

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A Deep Learning Approach to Private Data Sharing of Medical Images Using Conditional GANs

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FF-NSL: Feed-Forward Neural-Symbolic Learner

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Fold2Seq: A Joint Sequence(1D)-Fold(3D) Embedding-based Generative Model for Protein Design

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Towards Biologically Plausible Convolutional Networks

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Unsupervised Topic Segmentation of Meetings with BERT Embeddings

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Using machine learning techniques to predict hospital admission at the emergency department

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Neural Networks for Dengue Prediction: A Systematic Review

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Recurrent Neural Network from Adder's Perspective: Carry-lookahead RNN

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Factors affecting the COVID-19 risk in the US counties: an innovative approach by combining unsupervised and supervised learning

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Automated Agriculture Commodity Price Prediction System with Machine Learning Techniques

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Machine Learning-based Orchestration of Containers: A Taxonomy and Future Directions

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Dungeon and Platformer Level Blending and Generation using Conditional VAEs

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Artifact Detection and Correction in EEG data: A Review

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Quantization Aware Training, ERNIE and Kurtosis Regularizer: a short empirical study

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TagRuler: Interactive Tool for Span-Level Data Programming by Demonstration

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All unconstrained strongly convex problems are weakly simplicial

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Deep Learning for Network Traffic Classification

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Provably efficient machine learning for quantum many-body problems

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The Stereotyping Problem in Collaboratively Filtered Recommender Systems

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Machine learning structure preserving brackets for forecasting irreversible processes

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Real-time Outdoor Localization Using Radio Maps: A Deep Learning Approach

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Universal Consistency of Deep Convolutional Neural Networks

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False perfection in machine prediction: Detecting and assessing circularity problems in machine learning

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Learning Explainable Representations of Malware Behavior

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Multiband VAE: Latent Space Partitioning for Knowledge Consolidation in Continual Learning

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Fairness for Image Generation with Uncertain Sensitive Attributes

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Imitation Learning: Progress, Taxonomies and Opportunities

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Forecasting Health and Wellbeing for Shift Workers Using Job-role Based Deep Neural Network

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Finding simplicity: unsupervised discovery of features, patterns, and order parameters via shift-invariant variational autoencoders

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Real-time Neural Radiance Caching for Path Tracing

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Finding Phish in a Haystack: A Pipeline for Phishing Classification on Certificate Transparency Logs

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GraphConfRec: A Graph Neural Network-Based Conference Recommender System

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