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?!

Pricing American options under negative rates

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Stock index futures trading impact on spot price volatility. The CSI 300 studied with a TGARCH model

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Stock Price Prediction Under Anomalous Circumstances

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Bitcoin Volatility and Intrinsic Time Using Double Subordinated Levy Processes

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Pricing and Hedging Prepayment Risk in a Mortgage Portfolio

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Conditional Value-at-Risk for Quantitative Trading: A Direct Reinforcement Learning Approach

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Lobbying Influence -- The Role of Money, Strategies and Measurements

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Implicit Generative Copulas

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Psychological dimension of adaptive trading in cryptocurrency markets

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Periodicity in Cryptocurrency Volatility and Liquidity

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Absorptive capacities and economic growth in low and middle income economies

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Fine-tuning wav2vec2 for speaker recognition

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Emergency Vehicles Audio Detection and Localization in AutonomousDriving

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PortaSpeech: Portable and High-Quality Generative Text-to-Speech

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Federated Learning in ASR: Not as Easy as You Think

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Real-Time Multi-Level Neonatal Heart and Lung Sound Quality Assessment for Telehealth Applications

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An investigation of pre-upsampling generative modelling and Generative Adversarial Networks in audio super resolution

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Tiny-CRNN: Streaming Wakeword Detection In A Low Footprint Setting

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FastCorrect 2: Fast Error Correction on Multiple Candidates for Automatic Speech Recognition

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VoiceFixer: Toward General Speech Restoration With Neural Vocoder

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FlowVocoder: A small Footprint Neural Vocoder based Normalizing flow for Speech Synthesis

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Nana-HDR: A Non-attentive Non-autoregressive Hybrid Model for TTS

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VoxCeleb Enrichment for Age and Gender Recognition

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Soundata: A Python library for reproducible use of audio datasets

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Joint magnitude estimation and phase recovery using Cyle-in-cycle GAN for non-parallel speech enhancement

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Challenges and Opportunities of Speech Recognition for Bengali Language

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Optimized Power Normalized Cepstral Coefficients towards Robust Deep Speaker Verification

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Evaluating X-vector-based Speaker Anonymization under White-box Assessment

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Turn-to-Diarize: Online Speaker Diarization Constrained by Transformer Transducer Speaker Turn Detection

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Fake It Till You Make It: Face analysis in the wild using synthetic data alone

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PP-LCNet: A Lightweight CPU Convolutional Neural Network

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Riedones3D: a celtic coin dataset for registration and fine-grained clustering

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3D Pose Transfer with Correspondence Learning and Mesh Refinement

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Augmented reality navigation system for visual prosthesis

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AffectGAN: Affect-Based Generative Art Driven by Semantics

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IntentVizor: Towards Generic Query Guided Interactive Video Summarization Using Slow-Fast Graph Convolutional Networks

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Egocentric Hand-object Interaction Detection and Application

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USIS: Unsupervised Semantic Image Synthesis

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Segmentation of Roads in Satellite Images using specially modified U-Net CNNs

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Understanding Egocentric Hand-Object Interactions from Hand Pose Estimation

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FathomNet: A global underwater image training set for enabling artificial intelligence in the ocean

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Deep Homography Estimation in Dynamic Surgical Scenes for Laparoscopic Camera Motion Extraction

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SPATE-GAN: Improved Generative Modeling of Dynamic Spatio-Temporal Patterns with an Autoregressive Embedding Loss

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Unsupervised Landmark Detection Based Spatiotemporal Motion Estimation for 4D Dynamic Medical Images

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A Prior Knowledge Based Tumor and Tumoral Subregion Segmentation Tool for Pediatric Brain Tumors

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Generative Probabilistic Image Colorization

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One Loss for All: Deep Hashing with a Single Cosine Similarity based Learning Objective

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UFO-ViT: High Performance Linear Vision Transformer without Softmax

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Three-Stream 3D/1D CNN for Fine-Grained Action Classification and Segmentation in Table Tennis

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Identity-Expression Ambiguity in 3D Morphable Face Models

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Semantic Communications With AI Tasks

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VideoCLIP: Contrastive Pre-training for Zero-shot Video-Text Understanding

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Y-GAN: Learning Dual Data Representations for Efficient Anomaly Detection

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Fine-tuning Vision Transformers for the Prediction of State Variables in Ising Models

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From Beginner to Master: A Survey for Deep Learning-based Single-Image Super-Resolution

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Multi-frame Joint Enhancement for Early Interlaced Videos

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PDC-Net+: Enhanced Probabilistic Dense Correspondence Network

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Turning old models fashion again: Recycling classical CNN networks using the Lattice Transformation

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3D Hand Pose and Shape Estimation from RGB Images for Improved Keypoint-Based Hand-Gesture Recognition

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Introduce the Result Into Self-Attention

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NudgeSeg: Zero-Shot Object Segmentation by Repeated Physical Interaction

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ViT Cane: Visual Assistant for the Visually Impaired

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Not Color Blind: AI Predicts Racial Identity from Black and White Retinal Vessel Segmentations

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The VVAD-LRS3 Dataset for Visual Voice Activity Detection

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PFENet++: Boosting Few-shot Semantic Segmentation with the Noise-filtered Context-aware Prior Mask

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Motion Deblurring with Real Events

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Efficient Global-Local Memory for Real-time Instrument Segmentation of Robotic Surgical Video

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Convolutional Shapelet Transform: A new approach for time series shapelets

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SiamEvent: Event-based Object Tracking via Edge-aware Similarity Learning with Siamese Networks

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Weakly Supervised Keypoint Discovery

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KITTI-360: A Novel Dataset and Benchmarks for Urban Scene Understanding in 2D and 3D

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IGAN: Inferent and Generative Adversarial Networks

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PASS: An ImageNet replacement for self-supervised pretraining without humans

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Comparison of Object Detection Algorithms Using Video and Thermal Images Collected from a UAS Platform: An Application of Drones in Traffic Management

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Predicting Driver Self-Reported Stress by Analyzing the Road Scene

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Visual Anomaly Detection for Images: A Survey

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GANiry: Bald-to-Hairy Translation Using CycleGAN

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MFEViT: A Robust Lightweight Transformer-based Network for Multimodal 2D+3D Facial Expression Recognition

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Experience feedback using Representation Learning for Few-Shot Object Detection on Aerial Images

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Wasserstein Patch Prior for Image Superresolution

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Machine Learning based Medical Image Deepfake Detection: A Comparative Study

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Joint Multimedia Event Extraction from Video and Article

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Logo Generation Using Regional Features: A Faster R-CNN Approach to Generative Adversarial Networks

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A Video Summarization Method Using Temporal Interest Detection and Key Frame Prediction

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ISF-GAN: An Implicit Style Function for High-Resolution Image-to-Image Translation

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Contrastive Learning for Mitochondria Segmentation

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Learning Stereopsis from Geometric Synthesis for 6D Object Pose Estimation

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Ground material classification and for UAV-based photogrammetric 3D data A 2D-3D Hybrid Approach

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Automatic Map Update Using Dashcam Videos

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ClipMatrix: Text-controlled Creation of 3D Textured Meshes

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Leveraging Multiple CNNs for Triaging Medical Workflow

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Markerless Suture Needle 6D Pose Tracking with Robust Uncertainty Estimation for Autonomous Minimally Invasive Robotic Surgery

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A Novel Hybrid Convolutional Neural Network for Accurate Organ Segmentation in 3D Head and Neck CT Images

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Group Shift Pointwise Convolution for Volumetric Medical Image Segmentation

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Generalized multiscale feature extraction for remaining useful life prediction of bearings with generative adversarial networks

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EllipseNet: Anchor-Free Ellipse Detection for Automatic Cardiac Biometrics in Fetal Echocardiography

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Profiling Neural Blocks and Design Spaces for Mobile Neural Architecture Search

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Identifying Women with Mammographically-Occult Breast Cancer Leveraging GAN-Simulated Mammograms

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Robotic Vision for Space Mining

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ZSD-YOLO: Zero-Shot YOLO Detection using Vision-Language KnowledgeDistillation

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DeepStroke: An Efficient Stroke Screening Framework for Emergency Rooms with Multimodal Adversarial Deep Learning

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Two-Stage Mesh Deep Learning for Automated Tooth Segmentation and Landmark Localization on 3D Intraoral Scans

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Learnable Triangulation for Deep Learning-based 3D Reconstruction of Objects of Arbitrary Topology from Single RGB Images

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GSIP: Green Semantic Segmentation of Large-Scale Indoor Point Clouds

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Fine-Grained Image Generation from Bangla Text Description using Attentional Generative Adversarial Network

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Multi-View Video-Based 3D Hand Pose Estimation

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A 3D Mesh-based Lifting-and-Projection Network for Human Pose Transfer

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Paint4Poem: A Dataset for Artistic Visualization of Classical Chinese Poems

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Keypoints-Based Deep Feature Fusion for Cooperative Vehicle Detection of Autonomous Driving

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Fast Point Voxel Convolution Neural Network with Selective Feature Fusion for Point Cloud Semantic Segmentation

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CLIPort: What and Where Pathways for Robotic Manipulation

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Towards Autonomous Crop-Agnostic Visual Navigation in Arable Fields

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SAME: Deformable Image Registration based on Self-supervised Anatomical Embeddings

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Lifelong 3D Object Recognition and Grasp Synthesis Using Dual Memory Recurrent Self-Organization Networks

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Reinforcement Learning with Information-Theoretic Actuation

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Reinforcement Learning for Classical Planning: Viewing Heuristics as Dense Reward Generators

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The MatrixX Solver For Argumentation Frameworks

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Modeling Interactions of Autonomous Vehicles and Pedestrians with Deep Multi-Agent Reinforcement Learning for Collision Avoidance

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Which Design Decisions in AI-enabled Mobile Applications Contribute to Greener AI?

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A Review of Text Style Transfer using Deep Learning

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CrossAug: A Contrastive Data Augmentation Method for Debiasing Fact Verification Models

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Overview of the CLEF-2019 CheckThat!: Automatic Identification and Verification of Claims

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An Offline Deep Reinforcement Learning for Maintenance Decision-Making

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The Artificial Intelligence behind the winning entry to the 2019 AI Robotic Racing Competition

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Introducing the DOME Activation Functions

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Collaborative Storytelling with Human Actors and AI Narrators

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An Explainable-AI approach for Diagnosis of COVID-19 using MALDI-ToF Mass Spectrometry

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Generating Summaries for Scientific Paper Review

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A taxonomy of strategic human interactions in traffic conflicts

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Temporal Information and Event Markup Language: TIE-ML Markup Process and Schema Version 1.0

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Chekhov's Gun Recognition

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Intelligent Decision Assistance Versus Automated Decision-Making: Enhancing Knowledge Work Through Explainable Artificial Intelligence

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Deep Generative Modeling for Protein Design

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Sentiment Analysis in Twitter for Macedonian

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Agreeing to Disagree: Annotating Offensive Language Datasets with Annotators' Disagreement

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Trustworthy AI and Robotics and the Implications for the AEC Industry: A Systematic Literature Review and Future Potentials

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GANG-MAM: GAN based enGine for Modifying Android Malware

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A User-Centred Framework for Explainable Artificial Intelligence in Human-Robot Interaction

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Abstraction, Reasoning and Deep Learning: A Study of the "Look and Say" Sequence

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Applying supervised and reinforcement learning methods to create neural-network-based agents for playing StarCraft II

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MCTS Based Agents for Multistage Single-Player Card Game

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Discovering Drug-Target Interaction Knowledge from Biomedical Literature

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Automated Mining of Leaderboards for Empirical AI Research

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Improving Stack Overflow question title generation with copying enhanced CodeBERT model and bi-modal information

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The Spread of Propaganda by Coordinated Communities on Social Media

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Effective Use of Graph Convolution Network and Contextual Sub-Tree forCommodity News Event Extraction

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Graph-Based Spatial-Temporal Convolutional Network for Vehicle Trajectory Prediction in Autonomous Driving

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Why Do We Click: Visual Impression-aware News Recommendation

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BioCopy: A Plug-And-Play Span Copy Mechanism in Seq2Seq Models

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Deep Exploration for Recommendation Systems

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Entity Linking Meets Deep Learning: Techniques and Solutions

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Explainability Pitfalls: Beyond Dark Patterns in Explainable AI

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Learning Neural Templates for Recommender Dialogue System

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More Than Reading Comprehension: A Survey on Datasets and Metrics of Textual Question Answering

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AI Explainability 360: Impact and Design

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GERNERMED -- An Open German Medical NER Model

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SAIS: Supervising and Augmenting Intermediate Steps for Document-Level Relation Extraction

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Meta-brain Models: biologically-inspired cognitive agents

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Discovering Novel Customer Features with Recurrent Neural Networks for Personality Based Financial Services

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A Multi-Agent Deep Reinforcement Learning Coordination Framework for Connected and Automated Vehicles at Merging Roadways

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ADVERSARIALuscator: An Adversarial-DRL Based Obfuscator and Metamorphic Malware SwarmGenerator

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CSAGN: Conversational Structure Aware Graph Network for Conversational Semantic Role Labeling

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Redesigning the Transformer Architecture with Insights from Multi-particle Dynamical Systems

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A Priori Calibration of Transient Kinetics Data via Machine Learning

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Prune Your Model Before Distill It

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Out-of-Distribution Detection for Medical Applications: Guidelines for Practical Evaluation

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An Empirical Study of Accuracy, Fairness, Explainability, Distributional Robustness, and Adversarial Robustness

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A Study of Feature Selection and Extraction Algorithms for Cancer Subtype Prediction

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Real Robot Challenge using Deep Reinforcement Learning

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Predicting Code Review Completion Time in Modern Code Review

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Biologically Plausible Training Mechanisms for Self-Supervised Learning in Deep Networks

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SCIMAT: Science and Mathematics Dataset

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Learning Material Parameters and Hydrodynamics of Soft Robotic Fish via Differentiable Simulation

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Boost-RS: Boosted Embeddings for Recommender Systems and its Application to Enzyme-Substrate Interaction Prediction

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Partitioning Cloud-based Microservices (via Deep Learning)

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A Comprehensive Survey and Performance Analysis of Activation Functions in Deep Learning

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Vitruvion: A Generative Model of Parametric CAD Sketches

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slimTrain -- A Stochastic Approximation Method for Training Separable Deep Neural Networks

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An Energy Efficient Health Monitoring Approach with Wireless Body Area Networks

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Google Neural Network Models for Edge Devices: Analyzing and Mitigating Machine Learning Inference Bottlenecks

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What to Prioritize? Natural Language Processing for the Development of a Modern Bug Tracking Solution in Hardware Development

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IRMAC: Interpretable Refined Motifs and Binary Classification for Rooftops PV Owners

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Machine learning methods for prediction of cancer driver genes: a survey paper

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Multimodality in Meta-Learning: A Comprehensive Survey

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Convergence of Deep Convolutional Neural Networks

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Lithium-ion Battery State of Health Estimation based on Cycle Synchronization using Dynamic Time Warping

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Bottom-Up Skill Discovery from Unsegmented Demonstrations for Long-Horizon Robot Manipulation

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Text2Brain: Synthesis of Brain Activation Maps from Free-form Text Query

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Macroeconomic forecasting with LSTM and mixed frequency time series data

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Predicting Hidden Links and Missing Nodes in Scale-Free Networks with Artificial Neural Networks

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MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research

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Using neural networks to solve the 2D Poisson equation for electric field computation in plasma fluid simulations

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Deep Learning Based Resource Assignment for Wireless Networks

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ML4ML: Automated Invariance Testing for Machine Learning Models

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ReINTEL Challenge 2020: A Comparative Study of Hybrid Deep Neural Network for Reliable Intelligence Identification on Vietnamese SNSs

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Heterogeneous Treatment Effect Estimation using machine learning for Healthcare application: tutorial and benchmark

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Synthetic Data Generation for Fraud Detection using GANs

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Data Summarization via Bilevel Optimization

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TEMGNet: Deep Transformer-based Decoding of Upperlimb sEMG for Hand Gestures Recognition

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Deep Learning-Based Detection of the Acute Respiratory Distress Syndrome: What Are the Models Learning?

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Forecasting of COVID-19 Cases, Using an Evolutionary Neural Architecture Search Approach

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Learning of Parameters in Behavior Trees for Movement Skills

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Overview of the CLEF--2021 CheckThat! Lab on Detecting Check-Worthy Claims, Previously Fact-Checked Claims, and Fake News

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Findings of the NLP4IF-2021 Shared Tasks on Fighting the COVID-19 Infodemic and Censorship Detection

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Bilateral Trade: A Regret Minimization Perspective

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FewNLU: Benchmarking State-of-the-Art Methods for Few-Shot Natural Language Understanding

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Distributionally Robust Multiclass Classification and Applications in Deep CNN Image Classifiers

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Decision Making For Celebrity Branding: An Opinion Mining Approach Based On Polarity And Sentiment Analysis Using Twitter Consumer-Generated Content (CGC)

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Dynamic Sequential Graph Learning for Click-Through Rate Prediction

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A Study of Fake News Reading and Annotating in Social Media Context

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Electoral Programs of German Parties 2021: A Computational Analysis Of Their Comprehensibility and Likeability Based On SentiArt

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Coreference Resolution for the Biomedical Domain: A Survey

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DziriBERT: a Pre-trained Language Model for the Algerian Dialect

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Topic Model Robustness to Automatic Speech Recognition Errors in Podcast Transcripts

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Leveraging Pretrained Models for Automatic Summarization of Doctor-Patient Conversations

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Description-based Label Attention Classifier for Explainable ICD-9 Classification

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Adversarial Neural Trip Recommendation

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Recurrent Neural Networks for Partially Observed Dynamical Systems

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A spatiotemporal machine learning approach to forecasting COVID-19 incidence at the county level in the United States

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Separating Retention from Extraction in the Evaluation of End-to-end Relation Extraction

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Is the Number of Trainable Parameters All That Actually Matters?

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Exploring Multi-dimensional Hierarchical Network Topologies for Efficient Distributed Training of Trillion Parameter DL Models

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Discovering and Validating AI Errors With Crowdsourced Failure Reports

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Document Automation Architectures and Technologies: A Survey

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Remaining useful life prediction with uncertainty quantification: development of a highly accurate model for rotating machinery

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