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?!

Using social network analysis to prevent money laundering

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Winterization of Texan power system infrastructure is profitable but risky

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Exploring the Antecedents of Consumer Confidence through Semantic Network Analysis of Online News

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Reinforcement Learning with Expert Trajectory For Quantitative Trading

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Audio Captioning with Composition of Acoustic and Semantic Information

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The impact of the additional features on the performance of regression analysis: a case study on regression analysis of music signal

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Attention-based Neural Beamforming Layers for Multi-channel Speech Recognition

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Global Structure-Aware Drum Transcription Based on Self-Attention Mechanisms

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A Statistical Model for Melody Reduction

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Stacked Acoustic-and-Textual Encoding: Integrating the Pre-trained Models into Speech Translation Encoders

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Separate but Together: Unsupervised Federated Learning for Speech Enhancement from Non-IID Data

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Personalized Popular Music Generation Using Imitation and Structure

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English Accent Accuracy Analysis in a State-of-the-Art Automatic Speech Recognition System

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Deep scattering network for speech emotion recognition

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What shall we do with an hour of data? Speech recognition for the un- and under-served languages of Common Voice

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Learning Robust Latent Representations for Controllable Speech Synthesis

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A Deep Reinforcement Learning Approach to Audio-Based Navigation in a Multi-Speaker Environment

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MASS: Multi-task Anthropomorphic Speech Synthesis Framework

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MuseMorphose: Full-Song and Fine-Grained Music Style Transfer with Just One Transformer VAE

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FastCorrect: Fast Error Correction with Edit Alignment for Automatic Speech Recognition

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Latency-Controlled Neural Architecture Search for Streaming Speech Recognition

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Test-Time Adaptation Toward Personalized Speech Enhancement: Zero-Shot Learning with Knowledge Distillation

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Zero-Shot Personalized Speech Enhancement through Speaker-Informed Model Selection

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A Benchmarking on Cloud based Speech-To-Text Services for French Speech and Background Noise Effect

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SpeechNet: A Universal Modularized Model for Speech Processing Tasks

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DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence from Box Supervision

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Self-Supervised Collision Handling via Generative 3D Garment Models for Virtual Try-On

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High-Resolution Complex Scene Synthesis with Transformers

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Deep Graphics Encoder for Real-Time Video Makeup Synthesis from Example

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Vision-based Neural Scene Representations for Spacecraft

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Efficient Lightweight 3D-CNN using Frame Skipping and Contrast Enhancement for Facial Macro- and Micro-expression Spotting

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A one-armed CNN for exoplanet detection from light curves

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TransferI2I: Transfer Learning for Image-to-Image Translation from Small Datasets

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When Human Pose Estimation Meets Robustness: Adversarial Algorithms and Benchmarks

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SAFIN: Arbitrary Style Transfer With Self-Attentive Factorized Instance Normalization

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Superevents: Towards Native Semantic Segmentation for Event-based Cameras

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Extreme Face Inpainting with Sketch-Guided Conditional GAN

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What's wrong with this video? Comparing Explainers for Deepfake Detection

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SyntheticFur dataset for neural rendering

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HINet: Half Instance Normalization Network for Image Restoration

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The Federated Tumor Segmentation (FeTS) Challenge

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Learning to Generate Novel Scene Compositions from Single Images and Videos

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A Fast Deep Learning Network for Automatic Image Auto-Straightening

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Deep and Shallow Covariance Feature Quantization for 3D Facial Expression Recognition

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Segmenter: Transformer for Semantic Segmentation

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WildGait: Learning Gait Representations from Raw Surveillance Streams

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TextOCR: Towards large-scale end-to-end reasoning for arbitrary-shaped scene text

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A Large-Scale Benchmark for Food Image Segmentation

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Structure Guided Lane Detection

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The DEVIL is in the Details: A Diagnostic Evaluation Benchmark for Video Inpainting

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Incremental Few-Shot Instance Segmentation

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Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation

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GANs for Medical Image Synthesis: An Empirical Study

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Let There be Light: Improved Traffic Surveillance via Detail Preserving Night-to-Day Transfer

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CondLaneNet: a Top-to-down Lane Detection Framework Based on Conditional Convolution

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Instance-aware Remote Sensing Image Captioning with Cross-hierarchy Attention

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Video Surveillance for Road Traffic Monitoring

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Scene Understanding for Autonomous Driving

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Museum Painting Retrieval

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Video-based Analysis of Soccer Matches

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Poisoning MorphNet for Clean-Label Backdoor Attack to Point Clouds

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Disentangling Noise from Images: A Flow-Based Image Denoising Neural Network

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HuMoR: 3D Human Motion Model for Robust Pose Estimation

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SUrgical PRediction GAN for Events Anticipation

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Enhancing Photorealism Enhancement

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Towards Discovery and Attribution of Open-world GAN Generated Images

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Diffusion Models Beat GANs on Image Synthesis

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Applications of Deep Learning Techniques for Automated Multiple Sclerosis Detection Using Magnetic Resonance Imaging: A Review

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TransPose: Real-time 3D Human Translation and Pose Estimation with Six Inertial Sensors

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Stochastic Image-to-Video Synthesis using cINNs

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MDA-Net: Multi-Dimensional Attention-Based Neural Network for 3D Image Segmentation

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An end-to-end Optical Character Recognition approach for ultra-low-resolution printed text images

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An Enhanced Randomly Initialized Convolutional Neural Network for Columnar Cactus Recognition in Unmanned Aerial Vehicle Imagery

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AFINet: Attentive Feature Integration Networks for Image Classification

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DocReader: Bounding-Box Free Training of a Document Information Extraction Model

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Visual Grounding with Transformers

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Event-LSTM: An Unsupervised and Asynchronous Learning-based Representation for Event-based Data

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PillarSegNet: Pillar-based Semantic Grid Map Estimation using Sparse LiDAR Data

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Matching Visual Features to Hierarchical Semantic Topics for Image Paragraph Captioning

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Coupling Intent and Action for Pedestrian Crossing Behavior Prediction

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An Attention-Fused Network for Semantic Segmentation of Very-High-Resolution Remote Sensing Imagery

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CFPNet-M: A Light-Weight Encoder-Decoder Based Network for Multimodal Biomedical Image Real-Time Segmentation

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Reconstructive Sequence-Graph Network for Video Summarization

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Fish Disease Detection Using Image Based Machine Learning Technique in Aquaculture

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TextAdaIN: Fine-Grained AdaIN for Robust Text Recognition

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Conformer: Local Features Coupling Global Representations for Visual Recognition

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Interaction Detection Between Vehicles and Vulnerable Road Users: A Deep Generative Approach with Attention

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Trajectory Prediction for Autonomous Driving with Topometric Map

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Dataset and Performance Comparison of Deep Learning Architectures for Plum Detection and Robotic Harvesting

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Good Practices and A Strong Baseline for Traffic Anomaly Detection

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TrTr: Visual Tracking with Transformer

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Estimation of 3D Human Pose Using Prior Knowledge

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CASIA-Face-Africa: A Large-scale African Face Image Database

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ABCNet v2: Adaptive Bezier-Curve Network for Real-time End-to-end Text Spotting

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Video Class Agnostic Segmentation with Contrastive Learning for Autonomous Driving

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Human-Aided Saliency Maps Improve Generalization of Deep Learning

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Estimating Parkinsonism Severity in Natural Gait Videos of Older Adults with Dementia

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A framework for the automation of testing computer vision systems

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Coconut trees detection and segmentation in aerial imagery using mask region-based convolution neural network

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Weakly supervised pan-cancer segmentation tool

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De-homogenization using Convolutional Neural Networks

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Improving Cost Learning for JPEG Steganography by Exploiting JPEG Domain Knowledge

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Automatic segmentation of vertebral features on ultrasound spine images using Stacked Hourglass Network

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Learning Image Attacks toward Vision Guided Autonomous Vehicles

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Towards Real-World Category-level Articulation Pose Estimation

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MOTR: End-to-End Multiple-Object Tracking with TRansformer

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Regression on Deep Visual Features using Artificial Neural Networks (ANNs) to Predict Hydraulic Blockage at Culverts

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Automating Visual Blockage Classification of Culverts with Deep Learning

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NeRD: Neural 3D Reflection Symmetry Detector

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Adv-Makeup: A New Imperceptible and Transferable Attack on Face Recognition

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Autoencoder Based Inter-Vehicle Generalization for In-Cabin Occupant Classification

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More Separable and Easier to Segment: A Cluster Alignment Method for Cross-Domain Semantic Segmentation

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A State-of-the-art Survey of Object Detection Techniques in Microorganism Image Analysis: from Traditional Image Processing and Classical Machine Learning to Current Deep Convolutional Neural Networks and Potential Visual Transformers

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Efficient Masked Face Recognition Method during the COVID-19 Pandemic

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BasisNet: Two-stage Model Synthesis for Efficient Inference

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This Looks Like That... Does it? Shortcomings of Latent Space Prototype Interpretability in Deep Networks

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Object detection for crabs in top-view seabed imagery

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Attention-augmented Spatio-Temporal Segmentation for Land Cover Mapping

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UVStyle-Net: Unsupervised Few-shot Learning of 3D Style Similarity Measure for B-Reps

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A Deep Transfer Learning-based Edge Computing Method for Home Health Monitoring

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A review on physical and data-driven based nowcasting methods using sky images

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Soft-Attention Improves Skin Cancer Classification Performance

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LINN: Lifting Inspired Invertible Neural Network for Image Denoising

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Recognition of handwritten MNIST digits on low-memory 2 Kb RAM Arduino board using LogNNet reservoir neural network

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Graph Learning based Recommender Systems: A Review

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Explainable Machine Learning for Fraud Detection

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Privacy Inference Attacks and Defenses in Cloud-based Deep Neural Network: A Survey

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Exploring CTC Based End-to-End Techniques for Myanmar Speech Recognition

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SIDE: I Infer the State I Want to Learn

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Negative Selection Algorithm Research and Applications in the last decade: A Review

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DeepObliviate: A Powerful Charm for Erasing Data Residual Memory in Deep Neural Networks

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Semi-Supervised Variational Reasoning for Medical Dialogue Generation

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Are Larger Pretrained Language Models Uniformly Better? Comparing Performance at the Instance Level

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Spelling Correction with Denoising Transformer

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The effects of regularisation on RNN models for time series forecasting: Covid-19 as an example

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Building a Question and Answer System for News Domain

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NLP for Climate Policy: Creating a Knowledge Platform for Holistic and Effective Climate Action

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"Alexa, what do you do for fun?" Characterizing playful requests with virtual assistants

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Looking at CTR Prediction Again: Is Attention All You Need?

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From Human-Computer Interaction to Human-AI Interaction: New Challenges and Opportunities for Enabling Human-Centered AI

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CCN GAC Workshop: Issues with learning in biological recurrent neural networks

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Intelligent interactive technologies for mental health and well-being

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Learning to Ask Appropriate Questions in Conversational Recommendation

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A Deep Dive into Conflict Generating Decisions

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Including Signed Languages in Natural Language Processing

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kdehumor at semeval-2020 task 7: a neural network model for detecting funniness in dataset humicroedit

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ANDREAS: Artificial intelligence traiNing scheDuler foR accElerAted resource clusterS

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Adversarial examples attack based on random warm restart mechanism and improved Nesterov momentum

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Characterizing GAN Convergence Through Proximal Duality Gap

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Word-level Human Interpretable Scoring Mechanism for Novel Text Detection Using Tsetlin Machines

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Improving Factual Consistency of Abstractive Summarization via Question Answering

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Analog Neural Computing with Super-resolution Memristor Crossbars

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Efficient Self-Supervised Data Collection for Offline Robot Learning

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Towards Benchmarking the Utility of Explanations for Model Debugging

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Expressing and Exploiting the Common Subgoal Structure of Classical Planning Domains Using Sketches: Extended Version

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An Intelligent Model for Solving Manpower Scheduling Problems

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Self-Guided Curriculum Learning for Neural Machine Translation

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Safety of the Intended Driving Behavior Using Rulebooks

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Predicting Intensive Care Unit Length of Stay and Mortality Using Patient Vital Signs: Machine Learning Model Development and Validation

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The Challenges and Opportunities of Human-Centered AI for Trustworthy Robots and Autonomous Systems

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Recent Advances in Deep Learning-based Dialogue Systems

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Neuroscience-inspired perception-action in robotics: applying active inference for state estimation, control and self-perception

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ExpMRC: Explainability Evaluation for Machine Reading Comprehension

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Mental Models of Adversarial Machine Learning

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Neural Text Generation with Part-of-Speech Guided Softmax

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Finding the unicorn: Predicting early stage startup success through a hybrid intelligence method

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An interdisciplinary conceptual study of Artificial Intelligence (AI) for helping benefit-risk assessment practices: Towards a comprehensive qualification matrix of AI programs and devices (pre-print 2020)

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AI in (and for) Games

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A Multi-Size Neural Network with Attention Mechanism for Answer Selection

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AraCOVID19-MFH: Arabic COVID-19 Multi-label Fake News and Hate Speech Detection Dataset

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An Influence-based Approach for Root Cause Alarm Discovery in Telecom Networks

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A Survey of Data Augmentation Approaches for NLP

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DeepRF: Deep Reinforcement Learning Designed RadioFrequency Waveform in MRI

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fAshIon after fashion: A Report of AI in Fashion

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Learning Controllable Content Generators

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Mind Your Inflections! Improving NLP for Non-Standard Englishes with Base-Inflection Encoding

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Interval Deep Learning for Uncertainty Quantification in Safety Applications

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OpenFL: An open-source framework for Federated Learning

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Addressing Fairness, Bias and Class Imbalance in Machine Learning: the FBI-loss

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Grad-TTS: A Diffusion Probabilistic Model for Text-to-Speech

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HeunNet: Extending ResNet using Heun's Methods

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House Price Prediction using Satellite Imagery

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Why Does Multi-Epoch Training Help?

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Slower is Better: Revisiting the Forgetting Mechanism in LSTM for Slower Information Decay

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SaRoCo: Detecting Satire in a Novel Romanian Corpus of News Articles

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Feature Interactions on Steroids: On the Composition of ML Models

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TabLeX: A Benchmark Dataset for Structure and Content Information Extraction from Scientific Tables

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Gait Characterization in Duchenne Muscular Dystrophy (DMD) Using a Single-Sensor Accelerometer: Classical Machine Learning and Deep Learning Approaches

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Improving Code Autocompletion with Transfer Learning

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An Open-Source Multi-Goal Reinforcement Learning Environment for Robotic Manipulation with Pybullet

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Better than BERT but Worse than Baseline

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The FeatureCloud AI Store for Federated Learning in Biomedicine and Beyond

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Autoencoding Under Normalization Constraints

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Automatic Classification of Games using Support Vector Machine

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On the reproducibility of fully convolutional neural networks for modeling time-space evolving physical systems

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SimNet: Computer Architecture Simulation using Machine Learning

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Encoding Explanatory Knowledge for Zero-shot Science Question Answering

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Automating Data Science: Prospects and Challenges

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Yes, BM25 is a Strong Baseline for Legal Case Retrieval

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OutFlip: Generating Out-of-Domain Samples for Unknown Intent Detection with Natural Language Attack

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The Summary Loop: Learning to Write Abstractive Summaries Without Examples

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TAG: Task-based Accumulated Gradients for Lifelong learning

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A Reinforcement Learning Environment for Multi-Service UAV-enabled Wireless Systems

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Tensor-Train Recurrent Neural Networks for Interpretable Multi-Way Financial Forecasting

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EBM-Fold: Fully-Differentiable Protein Folding Powered by Energy-based Models

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Deep Convolutional Neural Network Applied to Electroencephalography: Raw Data vs Spectral Features

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An introduction to causal reasoning in health analytics

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Addressing "Documentation Debt" in Machine Learning Research: A Retrospective Datasheet for BookCorpus

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U-Net-Based Surrogate Model For Evaluation of Microfluidic Channels

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Towards a Model for LSH

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ResAtom System: Protein and Ligand Affinity Prediction Model Based on Deep Learning

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Learning Optimal Decision Making for an Industrial Truck Unloading Robot using Minimal Simulator Runs

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Counterfactual Explanations for Neural Recommenders

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Exploring a Handwriting Programming Language for Educational Robots

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BERT is to NLP what AlexNet is to CV: Can Pre-Trained Language Models Identify Analogies?

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More Powerful Conditional Selective Inference for Generalized Lasso by Parametric Programming

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Rationalization through Concepts

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Sums of Separable and Quadratic Polynomials

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Federated Unbiased Learning to Rank

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AutoDebias: Learning to Debias for Recommendation

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Transitioning from Real to Synthetic data: Quantifying the bias in model

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Meteorological and human mobility data on predicting COVID-19 cases by a novel hybrid decomposition method with anomaly detection analysis: a case study in the capitals of Brazil

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The Modern Mathematics of Deep Learning

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Which transformer architecture fits my data? A vocabulary bottleneck in self-attention

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Opening the Blackbox: Accelerating Neural Differential Equations by Regularizing Internal Solver Heuristics

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Bounding Information Leakage in Machine Learning

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Towards Dynamic Feature Selection with Attention to Assist Banking Customers in Establishing a New Business

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Evaluating Deep Neural Network Ensembles by Majority Voting cum Meta-Learning scheme

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Enhancing ensemble learning and transfer learning in multimodal data analysis by adaptive dimensionality reduction

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How To Train Your Program

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Apply Artificial Neural Network to Solving Manpower Scheduling Problem

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How could Neural Networks understand Programs?

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Toward asynchronous EEG-based BCI: Detecting imagined words segments in continuous EEG signals

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ReadTwice: Reading Very Large Documents with Memories

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SIRNN: A Math Library for Secure RNN Inference

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Generative Adversarial Networks (GANs) in Networking: A Comprehensive Survey & Evaluation

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Wiki-Reliability: A Large Scale Dataset for Content Reliability on Wikipedia

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FNet: Mixing Tokens with Fourier Transforms

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Leveraging Multiple Relations for Fashion Trend Forecasting Based on Social Media

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Bring Your Own Codegen to Deep Learning Compiler

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Diff-ResNets for Few-shot Learning -- an ODE Perspective

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Weather impact on daily cases of COVID-19 in Saudi Arabia using machine learning

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ConCAD: Contrastive Learning-based Cross Attention for Sleep Apnea Detection

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Text similarity analysis for evaluation of descriptive answers

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Interpretable machine learning for high-dimensional trajectories of aging health

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TITAN: T Cell Receptor Specificity Prediction with Bimodal Attention Networks

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Are Pre-trained Convolutions Better than Pre-trained Transformers?

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Toward Code Generation: A Survey and Lessons from Semantic Parsing

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Generating abstractive summaries of Lithuanian news articles using a transformer model

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Exploiting Vulnerabilities in Deep Neural Networks: Adversarial and Fault-Injection Attacks

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Code2Image: Intelligent Code Analysis by Computer Vision Techniques and Application to Vulnerability Prediction

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A Reinforcement Learning-based Economic Model Predictive Control Framework for Autonomous Operation of Chemical Reactors

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Code-Mixing on Sesame Street: Dawn of the Adversarial Polyglots

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Deep Reinforcement Learning for Multi-Domain Dialogue Systems

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SimpleDS: A Simple Deep Reinforcement Learning Dialogue System

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