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?!
Adversarially learning disentangled speech representations for robust multi-factor voice conversion

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Dimension-Free Average Treatment Effect Inference with Deep Neural Networks

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LeapfrogLayers: A Trainable Framework for Effective Topological Sampling

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PLSUM: Generating PT-BR Wikipedia by Summarizing Multiple Websites

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A Survey on Awesome Korean NLP Datasets

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Learning Curves for Sequential Training of Neural Networks: Self-Knowledge Transfer and Forgetting

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Machine Learning Subsystem for Autonomous Collision Avoidance on a small UAS with Embedded GPU

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Learning Emergent Random Access Protocol for LEO Satellite Networks

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Chronological Causal Bandits

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Automatic evaluation of scientific abstracts through natural language processing

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MetaQA: Combining Expert Agents for Multi-Skill Question Answering

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Modelling and optimization of nanovector synthesis for applications in drug delivery systems

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User-click Modelling for Predicting Purchase Intent

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Multilingual training for Software Engineering

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SparRL: Graph Sparsification via Deep Reinforcement Learning

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Theoretical Analysis of an XGBoost Framework for Product Cannibalization

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Sample-Efficient Generation of Novel Photo-acid Generator Molecules using a Deep Generative Model

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AdaSplit: Adaptive Trade-offs for Resource-constrained Distributed Deep Learning

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On the Existence of the Adversarial Bayes Classifier (Extended Version)

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Estimating the Value-at-Risk by Temporal VAE

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Linear algebra with transformers

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Generative Adversarial Networks for Synthetic Data Generation: A Comparative Study

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Improving the Reliability of Network Intrusion Detection Systems through Dataset Integration

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Global alignment for relation extraction in Microbiology

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PhishMatch: A Layered Approach for Effective Detection of Phishing URLs

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Artificial Intelligence and Machine Learning in Nuclear Physics

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Multiple Interest and Fine Granularity Network for User Modeling

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Using Static and Dynamic Malware features to perform Malware Ascription

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MDPFuzzer: Finding Crash-Triggering State Sequences in Models Solving the Markov Decision Process

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A PubMedBERT-based Classifier with Data Augmentation Strategy for Detecting Medication Mentions in Tweets

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Autoencoders for Semivisible Jet Detection

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HTMOT : Hierarchical Topic Modelling Over Time

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Online false discovery rate control for anomaly detection in time series

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Quantifying Adaptability in Pre-trained Language Models with 500 Tasks

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ALX: Large Scale Matrix Factorization on TPUs

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STJLA: A Multi-Context Aware Spatio-Temporal Joint Linear Attention Network for Traffic Forecasting

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DMGCRN: Dynamic Multi-Graph Convolution Recurrent Network for Traffic Forecasting

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BenchML: an extensible pipelining framework for benchmarking representations of materials and molecules at scale

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Anomaly Detection of Wind Turbine Time Series using Variational Recurrent Autoencoders

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Ensemble and Mixed Learning Techniques for Credit Card Fraud Detection

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ES-dRNN: A Hybrid Exponential Smoothing and Dilated Recurrent Neural Network Model for Short-Term Load Forecasting

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Stochastic Local Winner-Takes-All Networks Enable Profound Adversarial Robustness

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Beyond Robustness: Resilience Verification of Tree-Based Classifiers

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CDGNet: A Cross-Time Dynamic Graph-based Deep Learning Model for Traffic Forecasting

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STformer: A Noise-Aware Efficient Spatio-Temporal Transformer Architecture for Traffic Forecasting

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ML Attack Models: Adversarial Attacks and Data Poisoning Attacks

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A Marketplace for Trading AI Models based on Blockchain and Incentives for IoT Data

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When the Curious Abandon Honesty: Federated Learning Is Not Private

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Contextual Bandit Applications in Customer Support Bot

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Contrastive Cycle Adversarial Autoencoders for Single-cell Multi-omics Alignment and Integration

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Automation Of Transiting Exoplanet Detection, Identification and Habitability Assessment Using Machine Learning Approaches

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Adversarial Machine Learning In Network Intrusion Detection Domain: A Systematic Review

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Manas: Mining Software Repositories to Assist AutoML

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Cross-domain User Preference Learning for Cold-start Recommendation

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raceBERT -- A Transformer-based Model for Predicting Race and Ethnicity from Names

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Smart Metering System Capable of Anomaly Detection by Bi-directional LSTM Autoencoder

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Scalable Geometric Deep Learning on Molecular Graphs

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First-Order Regret in Reinforcement Learning with Linear Function Approximation: A Robust Estimation Approach

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GraphPAS: Parallel Architecture Search for Graph Neural Networks

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Enhanced Exploration in Neural Feature Selection for Deep Click-Through Rate Prediction Models via Ensemble of Gating Layers

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Predicting the Travel Distance of Patients to Access Healthcare using Deep Neural Networks

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Neural Networks for Infectious Diseases Detection: Prospects and Challenges

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Godot Reinforcement Learning Agents

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CapsProm: A Capsule Network For Promoter Prediction

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Disentangled Counterfactual Recurrent Networks for Treatment Effect Inference over Time

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Augment & Valuate : A Data Enhancement Pipeline for Data-Centric AI

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Towards a Shared Rubric for Dataset Annotation

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Relating transformers to models and neural representations of the hippocampal formation

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DeepDiagnosis: Automatically Diagnosing Faults and Recommending Actionable Fixes in Deep Learning Programs

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Uncovering the Local Hidden Community Structure in Social Networks

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Multiway Ensemble Kalman Filter

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Does Structure Matter? Leveraging Data-to-Text Generation for Answering Complex Information Needs

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Sentiment Analysis and Effect of COVID-19 Pandemic using College SubReddit Data

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ShinRL: A Library for Evaluating RL Algorithms from Theoretical and Practical Perspectives

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Specializing Versatile Skill Libraries using Local Mixture of Experts

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FastSGD: A Fast Compressed SGD Framework for Distributed Machine Learning

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Deep Learning and Mathematical Intuition: A Review of (Davies et al. 2021)

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Building Quantum Field Theories Out of Neurons

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Deep Molecular Representation Learning via Fusing Physical and Chemical Information

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Detecting Potentially Harmful and Protective Suicide-related Content on Twitter: A Machine Learning Approach

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GPU backed Data Mining on Android Devices

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Combining Textual Features for the Detection of Hateful and Offensive Language

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Next Steps: Learning a Disentangled Gait Representation for Versatile Quadruped Locomotion

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Real-World Dexterous Object Manipulation based Deep Reinforcement Learning

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Identification of Twitter Bots based on an Explainable ML Framework: the US 2020 Elections Case Study

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Opinion Extraction as A Structured Sentiment Analysis using Transformers

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A Survey on Echo Chambers on Social Media: Description, Detection and Mitigation

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Merging Subject Matter Expertise and Deep Convolutional Neural Network for State-Based Online Machine-Part Interaction Classification

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Ambiguous Dynamic Treatment Regimes: A Reinforcement Learning Approach

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Clairvoyance: Intelligent Route Planning for Electric Buses Based on Urban Big Data

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Ymir: A Supervised Ensemble Framework for Multivariate Time Series Anomaly Detection

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Model-Agnostic Hybrid Numerical Weather Prediction and Machine Learning Paradigm for Solar Forecasting in the Tropics

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A Novel Tropical Geometry-based Interpretable Machine Learning Method: Application in Prognosis of Advanced Heart Failure

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Improving mathematical questioning in teacher training

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InfoLM: A New Metric to Evaluate Summarization & Data2Text Generation

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Online Search With Best-Price and Query-Based Predictions

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Evaluator for Emotionally Consistent Chatbots

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The Influence of Data Pre-processing and Post-processing on Long Document Summarization

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TransCouplet:Transformer based Chinese Couplet Generation

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Improving Predictions of Tail-end Labels using Concatenated BioMed-Transformers for Long Medical Documents

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Single-Shot Black-Box Adversarial Attacks Against Malware Detectors: A Causal Language Model Approach

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MaxRay: A Raytracing-based Integrated Sensing and Communication Framework

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Table2Vec: Automated Universal Representation Learning to Encode All-round Data DNA for Benchmarkable and Explainable Enterprise Data Science

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Semantic Segmentation of Legal Documents via Rhetorical Roles

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Active Inference in Robotics and Artificial Agents: Survey and Challenges

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Shapes of Emotions: Multimodal Emotion Recognition in Conversations via Emotion Shifts

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Survey on English Entity Linking on Wikidata

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Could AI Democratise Education? Socio-Technical Imaginaries of an EdTech Revolution

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Malakai: Music That Adapts to the Shape of Emotions

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Towards Intrinsic Interactive Reinforcement Learning: A Survey

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A network analysis of decision strategies of human experts in steel manufacturing

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Can OpenAI Codex and Other Large Language Models Help Us Fix Security Bugs?

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A Game-Theoretic Approach for AI-based Botnet Attack Defence

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In Search of Ambiguity: A Three-Stage Workflow Design to Clarify Annotation Guidelines for Crowd Workers

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Bridging Pre-trained Models and Downstream Tasks for Source Code Understanding

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A Multi-Strategy based Pre-Training Method for Cold-Start Recommendation

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Stage Conscious Attention Network (SCAN) : A Demonstration-Conditioned Policy for Few-Shot Imitation

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Understanding Dynamic Spatio-Temporal Contexts in Long Short-Term Memory for Road Traffic Speed Prediction

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Emojich -- zero-shot emoji generation using Russian language: a technical report

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Explainable Deep Learning in Healthcare: A Methodological Survey from an Attribution View

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Team Hitachi @ AutoMin 2021: Reference-free Automatic Minuting Pipeline with Argument Structure Construction over Topic-based Summarization

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Offline Pre-trained Multi-Agent Decision Transformer: One Big Sequence Model Conquers All StarCraftII Tasks

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Pairwise Learning for Neural Link Prediction

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Towards More Robust Natural Language Understanding

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IBERT: Idiom Cloze-style reading comprehension with Attention

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TaskDrop: A Competitive Baseline for Continual Learning of Sentiment Classification

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Sequential Randomized Smoothing for Adversarially Robust Speech Recognition

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GraphPrompt: Biomedical Entity Normalization Using Graph-based Prompt Templates

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CU-UD: text-mining drug and chemical-protein interactions with ensembles of BERT-based models

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How to Build Robust FAQ Chatbot with Controllable Question Generator?

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Unsupervised Law Article Mining based on Deep Pre-Trained Language Representation Models with Application to the Italian Civil Code

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Keeping it Simple: Language Models can learn Complex Molecular Distributions

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Active Learning for Event Extraction with Memory-based Loss Prediction Model

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UniLog: Deploy One Model and Specialize it for All Log Analysis Tasks

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An unsupervised extractive summarization method based on multi-round computation

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Human Parity on CommonsenseQA: Augmenting Self-Attention with External Attention

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Consistent Training and Decoding For End-to-end Speech Recognition Using Lattice-free MMI

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BERTMap: A BERT-based Ontology Alignment System

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Open Vocabulary Electroencephalography-To-Text Decoding and Zero-shot Sentiment Classification

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Requirements for Open Political Information: Transparency Beyond Open Data

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Tele-EvalNet: A Low-cost, Teleconsultation System for Home based Rehabilitation of Stroke Survivors using Multiscale CNN-LSTM Architecture

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Simulation Intelligence: Towards a New Generation of Scientific Methods

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Causal Analysis and Classification of Traffic Crash Injury Severity Using Machine Learning Algorithms

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JUSTICE: A Benchmark Dataset for Supreme Court's Judgment Prediction

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Extrapolation Frameworks in Cognitive Psychology Suitable for Study of Image Classification Models

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Combining Learning from Human Feedback and Knowledge Engineering to Solve Hierarchical Tasks in Minecraft

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Question Answering Survey: Directions, Challenges, Datasets, Evaluation Matrices

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Predict and Optimize: Through the Lens of Learning to Rank

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Two-stage Deep Stacked Autoencoder with Shallow Learning for Network Intrusion Detection System

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RFGAN: RF-Based Human Synthesis

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A Deep Learning Driven Algorithmic Pipeline for Autonomous Navigation in Row-Based Crops

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Natural Answer Generation: From Factoid Answer to Full-length Answer using Grammar Correction

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Information is Power: Intrinsic Control via Information Capture

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Learning a Robust Multiagent Driving Policy for Traffic Congestion Reduction

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Behavior Self-Organization Supports Task Inference for Continual Robot Learning

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Emotion-Cause Pair Extraction in Customer Reviews

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iRoPro: An interactive Robot Programming Framework

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Geometry-Aware Fruit Grasping Estimation for Robotic Harvesting in Orchards

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Semantic TrueLearn: Using Semantic Knowledge Graphs in Recommendation Systems

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TempAMLSI : Temporal Action Model Learning based on Grammar Induction

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Adapting Procedural Content Generation to Player Personas Through Evolution

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Deep Q-Learning Market Makers in a Multi-Agent Simulated Stock Market

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Application of Artificial Intelligence and Machine Learning in Libraries: A Systematic Review

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From Good to Best: Two-Stage Training for Cross-lingual Machine Reading Comprehension

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Learning multiple gaits of quadruped robot using hierarchical reinforcement learning

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Siamese Attribute-missing Graph Auto-encoder

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JueWu-MC: Playing Minecraft with Sample-efficient Hierarchical Reinforcement Learning

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Artificial Intelligence and Design of Experiments for Assessing Security of Electricity Supply: A Review and Strategic Outlook

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Wikidated 1.0: An Evolving Knowledge Graph Dataset of Wikidata's Revision History

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Automatic tumour segmentation in H&E-stained whole-slide images of the pancreas

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Fully automatic integration of dental CBCT images and full-arch intraoral impressions with stitching error correction via individual tooth segmentation and identification

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SSDL: Self-Supervised Dictionary Learning

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Towards Super-Resolution CEST MRI for Visualization of Small Structures

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Coupling Vision and Proprioception for Navigation of Legged Robots

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Neural Head Avatars from Monocular RGB Videos

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FuseDream: Training-Free Text-to-Image Generation with Improved CLIP+GAN Space Optimization

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Multi-modal application: Image Memes Generation

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Learning to Detect Every Thing in an Open World

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Action Units That Constitute Trainable Micro-expressions (and A Large-scale Synthetic Dataset)

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Gesture Recognition with a Skeleton-Based Keyframe Selection Module

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AirDet: Few-Shot Detection without Fine-tuning for Autonomous Exploration

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Detect Faces Efficiently: A Survey and Evaluations

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Geometric Feature Learning for 3D Meshes

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Incremental Learning in Semantic Segmentation from Image Labels

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Novel Class Discovery in Semantic Segmentation

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SGM3D: Stereo Guided Monocular 3D Object Detection

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CoNeRF: Controllable Neural Radiance Fields

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ROCA: Robust CAD Model Retrieval and Alignment from a Single Image

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Bridging the Gap: Point Clouds for Merging Neurons in Connectomics

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Total Scale: Face-to-Body Detail Reconstruction from Sparse RGBD Sensors

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Classification of COVID-19 on chest X-Ray images using Deep Learning model with Histogram Equalization and Lungs Segmentation

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DemoGrasp: Few-Shot Learning for Robotic Grasping with Human Demonstration

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A comparison study of CNN denoisers on PRNU extraction

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Pose2Room: Understanding 3D Scenes from Human Activities

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Face Reconstruction with Variational Autoencoder and Face Masks

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Joint Audio-Text Model for Expressive Speech-Driven 3D Facial Animation

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Orientation Aware Weapons Detection In Visual Data : A Benchmark Dataset

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SemanticStyleGAN: Learning Compositional Generative Priors for Controllable Image Synthesis and Editing

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Sphere Face Model:A 3D Morphable Model with Hypersphere Manifold Latent Space

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LAVT: Language-Aware Vision Transformer for Referring Image Segmentation

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Dense Extreme Inception Network for Edge Detection

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U2-Former: A Nested U-shaped Transformer for Image Restoration

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An Annotated Video Dataset for Computing Video Memorability

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MoFaNeRF: Morphable Facial Neural Radiance Field

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Label Hierarchy Transition: Modeling Class Hierarchies to Enhance Deep Classifiers

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3rd Place: A Global and Local Dual Retrieval Solution to Facebook AI Image Similarity Challenge

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LTT-GAN: Looking Through Turbulence by Inverting GANs

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VT-CLIP: Enhancing Vision-Language Models with Visual-guided Texts

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PointCLIP: Point Cloud Understanding by CLIP

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Next Day Wildfire Spread: A Machine Learning Data Set to Predict Wildfire Spreading from Remote-Sensing Data

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End-to-End Segmentation via Patch-wise Polygons Prediction

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PolyphonicFormer: Unified Query Learning for Depth-aware Video Panoptic Segmentation

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A Survey on Deep learning based Document Image Enhancement

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A hybrid convolutional neural network/active contour approach to segmenting dead trees in aerial imagery

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Making a Bird AI Expert Work for You and Me

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One-shot Talking Face Generation from Single-speaker Audio-Visual Correlation Learning

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HumanNeRF: Generalizable Neural Human Radiance Field from Sparse Inputs

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Make It Move: Controllable Image-to-Video Generation with Text Descriptions

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PP-MSVSR: Multi-Stage Video Super-Resolution

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Visual Object Tracking with Discriminative Filters and Siamese Networks: A Survey and Outlook

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Reliable Propagation-Correction Modulation for Video Object Segmentation

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PTTR: Relational 3D Point Cloud Object Tracking with Transformer

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Seeing BDD100K in dark: Single-Stage Night-time Object Detection via Continual Fourier Contrastive Learning

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ALIKE: Accurate and Lightweight Keypoint Detection and Descriptor Extraction

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A Tale of Color Variants: Representation and Self-Supervised Learning in Fashion E-Commerce

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Controllable Animation of Fluid Elements in Still Images

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Text2Mesh: Text-Driven Neural Stylization for Meshes

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Unsupervised Domain Adaptation for Semantic Image Segmentation: a Comprehensive Survey

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CSG0: Continual Urban Scene Generation with Zero Forgetting

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DoodleFormer: Creative Sketch Drawing with Transformers

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DIY Graphics Tab: A Cost-Effective Alternative to Graphics Tablet for Educators

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Organ localisation using supervised and semi supervised approaches combining reinforcement learning with imitation learning

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Top-Down Deep Clustering with Multi-generator GANs

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RSBNet: One-Shot Neural Architecture Search for A Backbone Network in Remote Sensing Image Recognition

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A Generic Approach for Enhancing GANs by Regularized Latent Optimization

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Learning Pixel-Adaptive Weights for Portrait Photo Retouching

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Does Proprietary Software Still Offer Protection of Intellectual Property in the Age of Machine Learning? -- A Case Study using Dual Energy CT Data

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Causal Imitative Model for Autonomous Driving

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Self-Supervised Camera Self-Calibration from Video

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Learning Connectivity with Graph Convolutional Networks for Skeleton-based Action Recognition

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Deep Level Set for Box-supervised Instance Segmentation in Aerial Images

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Voxelized 3D Feature Aggregation for Multiview Detection

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VizExtract: Automatic Relation Extraction from Data Visualizations

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Learning Instance and Task-Aware Dynamic Kernels for Few Shot Learning

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CG-NeRF: Conditional Generative Neural Radiance Fields

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A Conditional Point Diffusion-Refinement Paradigm for 3D Point Cloud Completion

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Bootstrapping ViTs: Towards Liberating Vision Transformers from Pre-training

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CMA-CLIP: Cross-Modality Attention CLIP for Image-Text Classification

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ADD: Frequency Attention and Multi-View based Knowledge Distillation to Detect Low-Quality Compressed Deepfake Images

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Unsupervised Learning of Compositional Scene Representations from Multiple Unspecified Viewpoints

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Contrastive Learning from Extremely Augmented Skeleton Sequences for Self-supervised Action Recognition

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Regularity Learning via Explicit Distribution Modeling for Skeletal Video Anomaly Detection

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SalFBNet: Learning Pseudo-Saliency Distribution via Feedback Convolutional Networks

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Dilated convolution with learnable spacings

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Variance-Aware Weight Initialization for Point Convolutional Neural Networks

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Polarimetric Pose Prediction

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A Contrastive Distillation Approach for Incremental Semantic Segmentation in Aerial Images

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A Survey on Intrinsic Images: Delving Deep Into Lambert and Beyond

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ViewCLR: Learning Self-supervised Video Representation for Unseen Viewpoints

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Ref-NeRF: Structured View-Dependent Appearance for Neural Radiance Fields

sciencewise.info/bookmarks/2112…
BT-Unet: A self-supervised learning framework for biomedical image segmentation using Barlow Twins with U-Net models

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