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?!

Adding fuel to human capital: Exploring the educational effects of cooking fuel choice from rural India

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Personalized Communication Strategies: Towards A New Debtor Typology Framework

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Combinatorial Algorithms for Matching Markets via Nash Bargaining: One-Sided, Two-Sided and Non-Bipartite

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Pricing Algorithmic Insurance

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Mapping the NFT revolution: market trends, trade networks and visual features

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Mobility and Economic Impact of COVID-19 Restrictions in Italy using Mobile Network Operator Data

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A Bayesian realized threshold measurement GARCH framework for financial tail risk forecasting

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Cash versus Kind: Benchmarking a Child Nutrition Program against Unconditional Cash Transfers in Rwanda

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Optimal Claiming of Social Security Benefits

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Deep Reinforcement Learning in Quantitative Algorithmic Trading: A Review

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Bioelectrical brain activity can predict prosocial behavior

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Impact of Public and Private Investments on Economic Growth of Developing Countries

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An algebraic approach to revealed preferences

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Three Remarks On Asset Pricing

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Cybersecurity and Sustainable Development

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Slow Momentum with Fast Reversion: A Trading Strategy Using Deep Learning and Changepoint Detection

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Blending Advertising with Organic Content in E-Commerce: A Virtual Bids Optimization Approach

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LyricJam: A system for generating lyrics for live instrumental music

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Language Independent Speech Emotion and Non-invasive Early Detection of Neurocognitive Disorder

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A Preliminary Study of a Two-Stage Paradigm for Preserving Speaker Identity in Dysarthric Voice Conversion

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Semantic-WER: A Unified Metric for the Evaluation of ASR Transcript for End Usability

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An Improved Model for Voicing Silent Speech

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An objective evaluation of the effects of recording conditions and speaker characteristics in multi-speaker deep neural speech synthesis

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Comparing Acoustic-based Approaches for Alzheimer's Disease Detection

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Dual Script E2E framework for Multilingual and Code-Switching ASR

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Should We Always Separate?: Switching Between Enhanced and Observed Signals for Overlapping Speech Recognition

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Sound-to-Imagination: Unsupervised Crossmodal Translation Using Deep Dense Network Architecture

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NVC-Net: End-to-End Adversarial Voice Conversion

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Improving low-resource ASR performance with untranscribed out-of-domain data

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A Neural Acoustic Echo Canceller Optimized Using An Automatic Speech Recognizer And Large Scale Synthetic Data

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Omnizart: A General Toolbox for Automatic Music Transcription

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Adversarial Defense for Automatic Speaker Verification by Self-Supervised Learning

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Multi-modal Point-of-Care Diagnostics for COVID-19 Based On Acoustics and Symptoms

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Deep Learning for Depression Recognition with Audiovisual Cues: A Review

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Supervised Speech Representation Learning for Parkinson's Disease Classification

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Nora: The Well-Being Coach

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Multilingual Speech Translation with Unified Transformer: Huawei Noah's Ark Lab at IWSLT 2021

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Low-Resource Spoken Language Identification Using Self-Attentive Pooling and Deep 1D Time-Channel Separable Convolutions

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StarGAN-ZSVC: Towards Zero-Shot Voice Conversion in Low-Resource Contexts

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Singing Language Identification using a Deep Phonotactic Approach

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EchoFilter: End-to-End Neural Network for Acoustic Echo Cancellation

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Towards One Model to Rule All: Multilingual Strategy for Dialectal Code-Switching Arabic ASR

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Parkinsonian Chinese Speech Analysis towards Automatic Classification of Parkinson's Disease

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Phoneme-Based Ratio Mask Estimation for Reverberant Speech Enhancement in Cochlear Implant Processors

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DIVE: End-to-end Speech Diarization via Iterative Speaker Embedding

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Voice Activity Detection for Ultrasound-based Silent Speech Interfaces using Convolutional Neural Networks

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DiffSVC: A Diffusion Probabilistic Model for Singing Voice Conversion

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Audio-visual scene classification: analysis of DCASE 2021 Challenge submissions

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Anticipative Video Transformer

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Single Image Depth Estimation using Wavelet Decomposition

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Neural Actor: Neural Free-view Synthesis of Human Actors with Pose Control

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ProtoRes: Proto-Residual Architecture for Deep Modeling of Human Pose

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A Comparison for Anti-noise Robustness of Deep Learning Classification Methods on a Tiny Object Image Dataset: from Convolutional Neural Network to Visual Transformer and Performer

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Learning High-Precision Bounding Box for Rotated Object Detection via Kullback-Leibler Divergence

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E2E-VLP: End-to-End Vision-Language Pre-training Enhanced by Visual Learning

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Multi-Scale Feature Aggregation by Cross-Scale Pixel-to-Region Relation Operation for Semantic Segmentation

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APES: Audiovisual Person Search in Untrimmed Video

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When Vision Transformers Outperform ResNets without Pretraining or Strong Data Augmentations

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Noise Doesn't Lie: Towards Universal Detection of Deep Inpainting

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Barbershop: GAN-based Image Compositing using Segmentation Masks

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DeepCompress: Efficient Point Cloud Geometry Compression

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Multiscale Domain Adaptive YOLO for Cross-Domain Object Detection

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Learning to Select: A Fully Attentive Approach for Novel Object Captioning

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Convolutional Neural Network(CNN/ConvNet) in Stock Price Movement Prediction

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Pathology-Aware Generative Adversarial Networks for Medical Image Augmentation

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Deep Learning Based Analysis of Prostate Cancer from MP-MRI

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Effort-free Automated Skeletal Abnormality Detection of Rat Fetuses on Whole-body Micro-CT Scans

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Advances in Classifying the Stages of Diabetic Retinopathy Using Convolutional Neural Networks in Low Memory Edge Devices

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Exploring Memorization in Adversarial Training

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SMURF: SeMantic and linguistic UndeRstanding Fusion for Caption Evaluation via Typicality Analysis

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DFGC 2021: A DeepFake Game Competition

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ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detection

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Benchmarking CNN on 3D Anatomical Brain MRI: Architectures, Data Augmentation and Deep Ensemble Learning

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Rethinking Cross-modal Interaction from a Top-down Perspective for Referring Video Object Segmentation

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A Novel Edge Detection Operator for Identifying Buildings in Augmented Reality Applications

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Towards Unified Surgical Skill Assessment

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End-to-End Information Extraction by Character-Level Embedding and Multi-Stage Attentional U-Net

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Refining the bounding volumes for lossless compression of voxelized point clouds geometry

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nnDetection: A Self-configuring Method for Medical Object Detection

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ICDAR 2021 Competition on On-Line Signature Verification

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Tips and Tricks to Improve CNN-based Chest X-ray Diagnosis: A Survey

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Fidelity Estimation Improves Noisy-Image Classification with Pretrained Networks

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You Only Look at One Sequence: Rethinking Transformer in Vision through Object Detection

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Comprehensive Validation of Automated Whole Body Skeletal Muscle, Adipose Tissue, and Bone Segmentation from 3D CT images for Body Composition Analysis: Towards Extended Body Composition

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TransVOS: Video Object Segmentation with Transformers

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Full-Resolution Encoder-Decoder Networks with Multi-Scale Feature Fusion for Human Pose Estimation

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Predicting Vehicles Trajectories in Urban Scenarios with Transformer Networks and Augmented Information

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Towards Interpretable Attention Networks for Cervical Cancer Analysis

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KVT: k-NN Attention for Boosting Vision Transformers

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Dense Nested Attention Network for Infrared Small Target Detection

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Highlight Timestamp Detection Model for Comedy Videos via Multimodal Sentiment Analysis

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Analysis of Vision-based Abnormal Red Blood Cell Classification

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DLA-Net: Learning Dual Local Attention Features for Semantic Segmentation of Large-Scale Building Facade Point Clouds

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Adversarial VQA: A New Benchmark for Evaluating the Robustness of VQA Models

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VA-GCN: A Vector Attention Graph Convolution Network for learning on Point Clouds

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EV-VGCNN: A Voxel Graph CNN for Event-based Object Classification

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Towards Real-time and Light-weight Line Segment Detection

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Language-Driven Image Style Transfer

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Integrative Use of Computer Vision and Unmanned Aircraft Technologies in Public Inspection: Foreign Object Debris Image Collection

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Deep learning for prediction of hepatocellular carcinoma recurrence after resection or liver transplantation: a discovery and validation study

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Continual 3D Convolutional Neural Networks for Real-time Processing of Videos

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What Can I Do Here? Learning New Skills by Imagining Visual Affordances

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Markpainting: Adversarial Machine Learning meets Inpainting

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Exposing Previously Undetectable Faults in Deep Neural Networks

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RAI-Net: Range-Adaptive LiDAR Point Cloud Frame Interpolation Network

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COV-ECGNET: COVID-19 detection using ECG trace images with deep convolutional neural network

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Hybrid Deep Neural Network for Brachial Plexus Nerve Segmentation in Ultrasound Images

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Learning Football Body-Orientation as a Matter of Classification

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3D WaveUNet: 3D Wavelet Integrated Encoder-Decoder Network for Neuron Segmentation

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Volta at SemEval-2021 Task 6: Towards Detecting Persuasive Texts and Images using Textual and Multimodal Ensemble

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GANs Can Play Lottery Tickets Too

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Effect of large-scale pre-training on full and few-shot transfer learning for natural and medical images

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3D map creation using crowdsourced GNSS data

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Pho(SC)Net: An Approach Towards Zero-shot Word Image Recognition in Historical Documents

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Can Attention Enable MLPs To Catch Up With CNNs?

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Not All Images are Worth 16x16 Words: Dynamic Vision Transformers with Adaptive Sequence Length

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Scorpion detection and classification systems based on computer vision and deep learning for health security purposes

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ArtGraph: Towards an Artistic Knowledge Graph

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Urban Traffic Surveillance (UTS): A fully probabilistic 3D tracking approach based on 2D detections

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VidFace: A Full-Transformer Solver for Video FaceHallucination with Unaligned Tiny Snapshots

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Document Domain Randomization for Deep Learning Document Layout Extraction

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Connecting Language and Vision for Natural Language-Based Vehicle Retrieval

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Learning Free-Form Deformation for 3D Face Reconstruction from In-The-Wild Images

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Demographic Fairness in Biometric Systems: What do the Experts say?

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Scene-aware Generative Network for Human Motion Synthesis

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Predicting Driver Intention Using Deep Neural Network

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Bio-inspired visual attention for silicon retinas based on spiking neural networks applied to pattern classification

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Controllable Person Image Synthesis with Spatially-Adaptive Warped Normalization

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Long-term Person Re-identification: A Benchmark

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Image-to-Video Generation via 3D Facial Dynamics

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Polygonal Point Set Tracking

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StyTr^2: Unbiased Image Style Transfer with Transformers

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Attention Based Semantic Segmentation on UAV Dataset for Natural Disaster Damage Assessment

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Unsupervised Joint Learning of Depth, Optical Flow, Ego-motion from Video

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Towards Diverse Paragraph Captioning for Untrimmed Videos

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Learning Personal Style from Few Examples

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Gaze Estimation using Transformer

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Data-driven 6D Pose Tracking by Calibrating Image Residuals in Synthetic Domains

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BAAI-VANJEE Roadside Dataset: Towards the Connected Automated Vehicle Highway technologies in Challenging Environments of China

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RPG: Learning Recursive Point Cloud Generation

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LPF: A Language-Prior Feedback Objective Function for De-biased Visual Question Answering

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Detecting Backdoor in Deep Neural Networks via Intentional Adversarial Perturbations

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Transforming the Latent Space of StyleGAN for Real Face Editing

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Less is More: Pay Less Attention in Vision Transformers

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UFC-BERT: Unifying Multi-Modal Controls for Conditional Image Synthesis

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Classifying States of Cooking Objects Using Convolutional Neural Network

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A Survey of Performance Optimization in Neural Network-Based Video Analytics Systems

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RaspberryPI for mosquito neutralization by power laser

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FCPose: Fully Convolutional Multi-Person Pose Estimation with Dynamic Instance-Aware Convolutions

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About Explicit Variance Minimization: Training Neural Networks for Medical Imaging With Limited Data Annotations

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MixerGAN: An MLP-Based Architecture for Unpaired Image-to-Image Translation

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TransCamP: Graph Transformer for 6-DoF Camera Pose Estimation

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Dominant Patterns: Critical Features Hidden in Deep Neural Networks

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Refined Deep Neural Network and U-Net for Polyps Segmentation

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BaMBNet: A Blur-aware Multi-branch Network for Defocus Deblurring

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Q-attention: Enabling Efficient Learning for Vision-based Robotic Manipulation

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CTSpine1K: A Large-Scale Dataset for Spinal Vertebrae Segmentation in Computed Tomography

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Human-level COVID-19 Diagnosis from Low-dose CT Scans Using a Two-stage Time-distributed Capsule Network

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Z2P: Instant Rendering of Point Clouds

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ICDAR 2021 Competition on Scientific Table Image Recognition to LaTeX

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Conditional Deep Convolutional Neural Networks for Improving the Automated Screening of Histopathological Images

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Covid-19 diagnosis from x-ray using neural networks

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Applications of Epileptic Seizures Detection in Neuroimaging Modalities Using Deep Learning Techniques: Methods, Challenges, and Future Works

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Evolving Deep Convolutional Neural Network by Hybrid Sine-Cosine and Extreme Learning Machine for Real-time COVID19 Diagnosis from X-Ray Images

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An Attention Free Transformer

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Revitalizing Optimization for 3D Human Pose and Shape Estimation: A Sparse Constrained Formulation

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NViSII: A Scriptable Tool for Photorealistic Image Generation

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Training of SSD(Single Shot Detector) for Facial Detection using Nvidia Jetson Nano

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The Wits Intelligent Teaching System: Detecting Student Engagement During Lectures Using Convolutional Neural Networks

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Using Convolutional Neural Networks for Relative Pose Estimation of a Non-Cooperative Spacecraft with Thermal Infrared Imagery

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Embedded Vision for Self-Driving on Forest Roads

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New Image Captioning Encoder via Semantic Visual Feature Matching for Heavy Rain Images

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Learning Uncertainty For Safety-Oriented Semantic Segmentation In Autonomous Driving

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ResT: An Efficient Transformer for Visual Recognition

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Focus on Local: Detecting Lane Marker from Bottom Up via Key Point

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MODISSA: a multipurpose platform for the prototypical realization of vehicle-related applications using optical sensors

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2nd Place Solution for IJCAI-PRICAI 2020 3D AI Challenge: 3D Object Reconstruction from A Single Image

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Learning to Stylize Novel Views

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GuideMe: A Mobile Application based on Global Positioning System and Object Recognition Towards a Smart Tourist Guide

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Recent advances and clinical applications of deep learning in medical image analysis

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Geometric Deep Learning and Equivariant Neural Networks

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Type III solar radio burst detection and classification: A deep learning approach

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Safe RAN control: A Symbolic Reinforcement Learning Approach

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Short-term Maintenance Planning of Autonomous Trucks for Minimizing Economic Risk

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What Happened Next? Using Deep Learning to Value Defensive Actions in Football Event-Data

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Modeling Influencer Marketing Campaigns In Social Networks

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Deceptive Level Generation for Angry Birds

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Towards Learning to Play Piano with Dexterous Hands and Touch

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Reinforcement Learning as One Big Sequence Modeling Problem

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Toward Explainable Users: Using NLP to Enable AI to Understand Users' Perceptions of Cyber Attacks

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DialogueCRN: Contextual Reasoning Networks for Emotion Recognition in Conversations

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Continual Learning in Deep Networks: an Analysis of the Last Layer

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Fingerprinting Fine-tuned Language Models in the Wild

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Rich dynamics caused by known biological brain network features resulting in stateful networks

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Discovering Chatbot's Self-Disclosure's Impact on User Trust, Affinity, and Recommendation Effectiveness

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Tail-to-Tail Non-Autoregressive Sequence Prediction for Chinese Grammatical Error Correction

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Knowing More About Questions Can Help: Improving Calibration in Question Answering

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Ethical-Advice Taker: Do Language Models Understand Natural Language Interventions?

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Attention-based Contextual Language Model Adaptation for Speech Recognition

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On using distributed representations of source code for the detection of C security vulnerabilities

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Sequence to General Tree: Knowledge-Guided Geometry Word Problem Solving

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A Span Extraction Approach for Information Extraction on Visually-Rich Documents

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Low-cost Stereovision system (disparity map) for few dollars

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Coverage-based Scene Fuzzing for Virtual Autonomous Driving Testing

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Bottom-Up and Top-Down Neural Processing Systems Design: Neuromorphic Intelligence as the Convergence of Natural and Artificial Intelligence

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T-BERT -- Model for Sentiment Analysis of Micro-blogs Integrating Topic Model and BERT

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Database Reasoning Over Text

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FedHealth 2: Weighted Federated Transfer Learning via Batch Normalization for Personalized Healthcare

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OctoPath: An OcTree Based Self-Supervised Learning Approach to Local Trajectory Planning for Mobile Robots

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DialoGraph: Incorporating Interpretable Strategy-Graph Networks into Negotiation Dialogues

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Conversational Question Answering: A Survey

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On the Efficacy of Adversarial Data Collection for Question Answering: Results from a Large-Scale Randomized Study

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What Ingredients Make for an Effective Crowdsourcing Protocol for Difficult NLU Data Collection Tasks?

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Part of Speech and Universal Dependency effects on English Arabic Machine Translation

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Exciting, Useful, Worrying, Futuristic: Public Perception of Artificial Intelligence in 8 Countries

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Understanding peacefulness through the world news

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Did I do that? Blame as a means to identify controlled effects in reinforcement learning

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AppBuddy: Learning to Accomplish Tasks in Mobile Apps via Reinforcement Learning

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Deep Learning for EEG Seizure Detection in Preterm Infants

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CIDER: Commonsense Inference for Dialogue Explanation and Reasoning

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More Behind Your Electricity Bill: a Dual-DNN Approach to Non-Intrusive Load Monitoring

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PIGLeT: Language Grounding Through Neuro-Symbolic Interaction in a 3D World

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A Road-map to Robot Task Execution with the Functional Object-Oriented Network

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HEMET: A Homomorphic-Encryption-Friendly Privacy-Preserving Mobile Neural Network Architecture

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Picking Pearl From Seabed: Extracting Artefacts from Noisy Issue Triaging Collaborative Conversations for Hybrid Cloud Services

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Sentiment analysis in tweets: an assessment study from classical to modern text representation models

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Automated Timeline Length Selection for Flexible Timeline Summarization

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Efficient and robust multi-task learning in the brain with modular task primitives

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Comparing Two Different Approaches in Big Data and Business Analysis for Churn Prediction with the Focus on How Apache Spark Employed

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Telling Stories through Multi-User Dialogue by Modeling Character Relations

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DiaKG: an Annotated Diabetes Dataset for Medical Knowledge Graph Construction

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SHAQ: Incorporating Shapley Value Theory into Q-Learning for Multi-Agent Reinforcement Learning

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Do Multilingual Neural Machine Translation Models Contain Language Pair Specific Attention Heads?

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Bangla Natural Language Processing: A Comprehensive Review of Classical, Machine Learning, and Deep Learning Based Methods

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Supporting Cognitive and Emotional Empathic Writing of Students

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Transfer Learning as an Enhancement for Reconfiguration Management of Cyber-Physical Production Systems

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Diversifying Dialog Generation via Adaptive Label Smoothing

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Human Interpretable AI: Enhancing Tsetlin Machine Stochasticity with Drop Clause

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Good for Misconceived Reasons: An Empirical Revisiting on the Need for Visual Context in Multimodal Machine Translation

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A Novel Framework Integrating AI Model and Enzymological Experiments Promotes Identification of SARS-CoV-2 3CL Protease Inhibitors and Activity-based Probe

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Machine Learning for Performance Prediction of Channel Bonding in Next-Generation IEEE 802.11 WLANs

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Quotation Recommendation and Interpretation Based on Transformation from Queries to Quotations

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Cloud Collectives: Towards Cloud-aware Collectives forML Workloads with Rank Reordering

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The Evaluation of Rating Systems in Team-based Battle Royale Games

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Controllable Abstractive Dialogue Summarization with Sketch Supervision

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Spatial-Temporal Dual Graph Neural Networks for Travel Time Estimation

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Relation Matters in Sampling: A Scalable Multi-Relational Graph Neural Network for Drug-Drug Interaction Prediction

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Cisco at SemEval-2021 Task 5: What's Toxic?: Leveraging Transformers for Multiple Toxic Span Extraction from Online Comments

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Knowledge Inheritance for Pre-trained Language Models

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Accelerating BERT Inference for Sequence Labeling via Early-Exit

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Neonatal seizure detection from raw multi-channel EEG using a fully convolutional architecture

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A proxemics game between festival visitors and an industrial robot

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A Survey on Anomaly Detection for Technical Systems using LSTM Networks

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DRL: Deep Reinforcement Learning for Intelligent Robot Control -- Concept, Literature, and Future

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THINK: A Novel Conversation Model for Generating Grammatically Correct and Coherent Responses

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Data Augmentation for Text Generation Without Any Augmented Data

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Open-world Machine Learning: Applications, Challenges, and Opportunities

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Machine learning models for DOTA 2 outcomes prediction

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Lymph Node Graph Neural Networks for Cancer Metastasis Prediction

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EmoDNN: Understanding emotions from short texts through a deep neural network ensemble

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SIMLR: Machine Learning inside the SIR model for COVID-19 Forecasting

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Luna: Linear Unified Nested Attention

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A Dataset and Baselines for Multilingual Reply Suggestion

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DNA-GCN: Graph convolutional networks for predicting DNA-protein binding

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Cybersecurity Information Exchange with Privacy (CYBEX-P) and TAHOE -- A Cyberthreat Language

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Can vectors read minds better than experts? Comparing data augmentation strategies for the automated scoring of children's mindreading ability

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Men Are Elected, Women Are Married: Events Gender Bias on Wikipedia

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MedNLI Is Not Immune: Natural Language Inference Artifacts in the Clinical Domain

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Inferring Black Hole Properties from Astronomical Multivariate Time Series with Bayesian Attentive Neural Processes

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Robot in a China Shop: Using Reinforcement Learning for Location-Specific Navigation Behaviour

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Assessing the Causal Impact of COVID-19 Related Policies on Outbreak Dynamics: A Case Study in the US

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Towards Deeper Deep Reinforcement Learning

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Learning to Rehearse in Long Sequence Memorization

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Multiresolution Graph Variational Autoencoder

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Deep Personalized Glucose Level Forecasting Using Attention-based Recurrent Neural Networks

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Post-mortem on a deep learning contest: a Simpson's paradox and the complementary roles of scale metrics versus shape metrics

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Framing RNN as a kernel method: A neural ODE approach

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Accurate and Robust Deep Learning Framework for Solving Wave-Based Inverse Problems in the Super-Resolution Regime

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Deep Reinforcement Learning-based UAV Navigation and Control: A Soft Actor-Critic with Hindsight Experience Replay Approach

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Energy-aware placement optimization of UAV base stations via decentralized multi-agent Q-learning

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Neural message passing for joint paratope-epitope prediction

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Is good old GRAPPA dead?

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Improving Long-Term Metrics in Recommendation Systems using Short-Horizon Offline RL

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Enhancing Trajectory Prediction using Sparse Outputs: Application to Team Sports

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Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning

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Learning and Generalization in RNNs

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A study on the plasticity of neural networks

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Analysis and classification of main risk factors causing stroke in Shanxi Province

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Validating GAN-BioBERT: A Methodology For Assessing Reporting Trends In Clinical Trials

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Detection of preventable fetal distress during labor from scanned cardiotocogram tracings using deep learning

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A Compact and Interpretable Convolutional Neural Network for Cross-Subject Driver Drowsiness Detection from Single-Channel EEG

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NewsEmbed: Modeling News through Pre-trained DocumentRepresentations

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One4all User Representation for Recommender Systems in E-commerce

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Reinforce Security: A Model-Free Approach Towards Secure Wiretap Coding

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Text Summarization with Latent Queries

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Early Detection of COVID-19 Hotspots Using Spatio-Temporal Data

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CVaR-based Flight Energy Risk Assessment for Multirotor UAVs using a Deep Energy Model

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Detecting Fetal Alcohol Spectrum Disorder in children using Artificial Neural Network

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Machine Learning for Security in Vehicular Networks: A Comprehensive Survey

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Using Pareto Simulated Annealing to Address Algorithmic Bias in Machine Learning

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Large-Scale Data-Driven Airline Market Influence Maximization

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OCT-GAN: Neural ODE-based Conditional Tabular GANs

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Procedural Content Generation: Better Benchmarks for Transfer Reinforcement Learning

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LRTuner: A Learning Rate Tuner for Deep Neural Networks

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Overparameterization of deep ResNet: zero loss and mean-field analysis

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SyReNets: Symbolic Residual Neural Networks

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Hashing-Accelerated Graph Neural Networks for Link Prediction

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Learning Graphon Autoencoders for Generative Graph Modeling

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Bridging the Gap Between Practice and PAC-Bayes Theory in Few-Shot Meta-Learning

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Reinforcement Learning for on-line Sequence Transformation

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Learning to Extend Program Graphs to Work-in-Progress Code

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Prediction of soft proton intensities in the near-Earth space using machine learning

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A Survey of Knowledge Tracing

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Applications of Artificial Intelligence, Machine Learning and related techniques for Computer Networking Systems

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Aristotle Said "Happiness is a State of Activity" -- Predicting Mood through Body Sensing with Smartwatches

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Reinforcement Learning-based Dynamic Service Placement in Vehicular Networks

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The use of Generative Adversarial Networks to characterise new physics in multi-lepton final states at the LHC

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Retweet communities reveal the main sources of hate speech

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Variational Autoencoders: A Harmonic Perspective

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Generating Ten BCI Commands Using Four Simple Motor Imageries

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Ten Quick Tips for Deep Learning in Biology

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Corn Yield Prediction with Ensemble CNN-DNN

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A Survey of Deep Reinforcement Learning Algorithms for Motion Planning and Control of Autonomous Vehicles

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We Know What You Want: An Advertising Strategy Recommender System for Online Advertising

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Polygonal Unadjusted Langevin Algorithms: Creating stable and efficient adaptive algorithms for neural networks

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Towards Efficient Full 8-bit Integer DNN Online Training on Resource-limited Devices without Batch Normalization

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SalientSleepNet: Multimodal Salient Wave Detection Network for Sleep Staging

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GAN for time series prediction, data assimilation and uncertainty quantification

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Gym-$μ$RTS: Toward Affordable Full Game Real-time Strategy Games Research with Deep Reinforcement Learning

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"Why Would I Trust Your Numbers?" On the Explainability of Expected Values in Soccer

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Transferable Deep Reinforcement Learning Framework for Autonomous Vehicles with Joint Radar-Data Communications

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Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation

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Short-Term Stock Price-Trend Prediction Using Meta-Learning

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Explainable Multi-class Classification of the CAMH COVID-19 Mental Health Data

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Times Series Forecasting for Urban Building Energy Consumption Based on Graph Convolutional Network

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ScalingNet: extracting features from raw EEG data for emotion recognition

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FuSeConv: Fully Separable Convolutions for Fast Inference on Systolic Arrays

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Sinan: Data-Driven, QoS-Aware Cluster Management for Microservices

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