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?!

On neural network kernels and the storage capacity problem

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How Can Graph Neural Networks Help Document Retrieval: A Case Study on CORD19 with Concept Map Generation

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Detection of brain tumors using machine learning algorithms

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Active Learning-Based Multistage Sequential Decision-Making Model with Application on Common Bile Duct Stone Evaluation

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Direct Mutation and Crossover in Genetic Algorithms Applied to Reinforcement Learning Tasks

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Towards a trustworthy, secure and reliable enclave for machine learning in a hospital setting: The Essen Medical Computing Platform (EMCP)

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Unifying Epidemic Models with Mixtures

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A robust kernel machine regression towards biomarker selection in multi-omics datasets of osteoporosis for drug discovery

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Black-box Safety Analysis and Retraining of DNNs based on Feature Extraction and Clustering

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Functional Anomaly Detection: a Benchmark Study

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Hyperparameter Importance for Machine Learning Algorithms

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Deep Learning on Multimodal Sensor Data at the Wireless Edge for Vehicular Network

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A Geometric Approach to $k$-means

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Improving VAE based molecular representations for compound property prediction

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Multi-Scale Adaptive Graph Neural Network for Multivariate Time Series Forecasting

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REST: Debiased Social Recommendation via Reconstructing Exposure Strategies

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Adherence Forecasting for Guided Internet-Delivered Cognitive Behavioral Therapy: A Minimally Data-Sensitive Approach

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Applying Machine Learning and AI Explanations to Analyze Vaccine Hesitancy

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Assemble Foundation Models for Automatic Code Summarization

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A Method for Controlling Extrapolation when Visualizing and Optimizing the Prediction Profiles of Statistical and Machine Learning Models

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DapStep: Deep Assignee Prediction for Stack Trace Error rePresentation

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Security Orchestration, Automation, and Response Engine for Deployment of Behavioural Honeypots

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Deep Learning for Agile Effort Estimation Have We Solved the Problem Yet?

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RecoMed: A Knowledge-Aware Recommender System for Hypertension Medications

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SympOCnet: Solving optimal control problems with applications to high-dimensional multi-agent path planning problems

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Attention-Based Recommendation On Graphs

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Communication-Efficient TeraByte-Scale Model Training Framework for Online Advertising

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Estimating Gaussian Copulas with Missing Data

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Demystifying Swarm Learning: A New Paradigm of Blockchain-based Decentralized Federated Learning

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Structure Enhanced Graph Neural Networks for Link Prediction

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Multi-head Temporal Attention-Augmented Bilinear Network for Financial time series prediction

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Prediction of Drug-Induced TdP Risks Using Machine Learning and Rabbit Ventricular Wedge Assay

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Wrapped Classifier with Dummy Teacher for training physics-based classifier at unlabeled radar data

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StolenEncoder: Stealing Pre-trained Encoders

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Exposing the Obscured Influence of State-Controlled Media: A Causal Estimation of Influence Between Media Outlets Via Quotation Propagation

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Adversarial Machine Learning Threat Analysis in Open Radio Access Networks

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A survey study of success factors in data science projects

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SigGAN : Adversarial Model for Learning Signed Relationships in Networks

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Equitable Community Resilience: The Case of Winter Storm Uri in Texas

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Learning Neural Ranking Models Online from Implicit User Feedback

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Hierarchical Neural Network Approaches for Long Document Classification

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Tutela: An Open-Source Tool for Assessing User-Privacy on Ethereum and Tornado Cash

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Recommendation Unlearning

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Continual Learning for CTR Prediction: A Hybrid Approach

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Inferring Commonsense Explanations as Prompts for Future Event Generation

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Sectioning of Biomedical Abstracts: A Sequence of Sequence Classification Task

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Incompleteness of graph convolutional neural networks for points clouds in three dimensions

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Studying Popular Open Source Machine Learning Libraries and Their Cross-Ecosystem Bindings

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Training Fair Deep Neural Networks by Balancing Influence

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Interpretable and Effective Reinforcement Learning for Attacking against Graph-based Rumor Detection

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Transferability in Deep Learning: A Survey

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Doing More with Less: Overcoming Data Scarcity for POI Recommendation via Cross-Region Transfer

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Efficient Hyperparameter Tuning for Large Scale Kernel Ridge Regression

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ExpertNet: A Symbiosis of Classification and Clustering

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A Comparative study of Hyper-Parameter Optimization Tools

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A Brief Survey of Machine Learning Methods for Emotion Prediction using Physiological Data

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Deep Graph Convolutional Network and LSTM based approach for predicting drug-target binding affinity

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ZeroPrompt: Scaling Prompt-Based Pretraining to 1,000 Tasks Improves Zero-Shot Generalization

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Knock Detection in Combustion Engine Time Series Using a Theory-Guided 1D Convolutional Neural Network Approach

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Time Series Generation with Masked Autoencoder

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Socioeconomic disparities and COVID-19: the causal connections

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Trajectory Design for UAV-Based Internet-of-Things Data Collection: A Deep Reinforcement Learning Approach

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Learning grammar with a divide-and-concur neural network

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Cortical lesions, central vein sign, and paramagnetic rim lesions in multiple sclerosis: emerging machine learning techniques and future avenues

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Can't Steal? Cont-Steal! Contrastive Stealing Attacks Against Image Encoders

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Malware Classification Using Static Disassembly and Machine Learning

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Comprehensive Efficiency Analysis of Machine Learning Algorithms for Developing Hardware-Based Cybersecurity Countermeasures

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Top-Down Influence? Predicting CEO Personality and Risk Impact from Speech Transcripts

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Code Sophistication: From Code Recommendation to Logic Recommendation

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Deep Capsule Encoder-Decoder Network for Surrogate Modeling and Uncertainty Quantification

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Variational Autoencoder Generative Adversarial Network for Synthetic Data Generation in Smart Home

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Dual Space Graph Contrastive Learning

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Network-based link prediction of scientific concepts -- a Science4Cast competition entry

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GAN-based Matrix Factorization for Recommender Systems

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OpenIPDM: A Probabilistic Framework for Estimating the Deterioration and Effect of Interventions on Bridges

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Statistical prediction of extreme events from small datasets

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Sim-to-Lab-to-Real: Safe Reinforcement Learning with Shielding and Generalization Guarantees

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Building a Performance Model for Deep Learning Recommendation Model Training on GPUs

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Learning-From-Disagreement: A Model Comparison and Visual Analytics Framework

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EdgeMap: CrowdSourcing High Definition Map in Automotive Edge Computing

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Sentiment Analysis: Predicting Yelp Scores

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Safe Deep RL in 3D Environments using Human Feedback

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Meta Learning for Code Summarization

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Generative time series models using Neural ODE in Variational Autoencoders

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Revelation of Task Difficulty in AI-aided Education

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Towards a Reference Software Architecture for Human-AI Teaming in Smart Manufacturing

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Automated Reinforcement Learning: An Overview

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Proceedings of the 4th Workshop on Online Recommender Systems and User Modeling -- ORSUM 2021

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CommonsenseQA 2.0: Exposing the Limits of AI through Gamification

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Synthesising Electronic Health Records: Cystic Fibrosis Patient Group

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Reasoning Through Memorization: Nearest Neighbor Knowledge Graph Embeddings

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DeepSpeed-MoE: Advancing Mixture-of-Experts Inference and Training to Power Next-Generation AI Scale

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Smart Magnetic Microrobots Learn to Swim with Deep Reinforcement Learning

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Structured access to AI capabilities: an emerging paradigm for safe AI deployment

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Reinforcement Learning based Air Combat Maneuver Generation

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Cost-Effective Training in Low-Resource Neural Machine Translation

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Big Data Application for Network Level Travel Time Prediction

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Automated causal inference in application to randomized controlled clinical trials

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A Benchmark for Generalizable and Interpretable Temporal Question Answering over Knowledge Bases

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COLD: A Benchmark for Chinese Offensive Language Detection

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Toward Among-Device AI from On-Device AI with Stream Pipelines

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Sequential Recommendation via Stochastic Self-Attention

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DeepCreativity: Measuring Creativity with Deep Learning Techniques

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Unintended Bias in Language Model-driven Conversational Recommendation

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Generalizable Neuro-symbolic Systems for Commonsense Question Answering

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MuLVE, A Multi-Language Vocabulary Evaluation Data Set

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Chatbot System Architecture

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RuMedBench: A Russian Medical Language Understanding Benchmark

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Growing Neural Network with Shared Parameter

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Patterns of near-crash events in a naturalistic driving dataset: applying rules mining

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Millions of Co-purchases and Reviews Reveal the Spread of Polarization and Lifestyle Politics across Online Markets

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PerPaDa: A Persian Paraphrase Dataset based on Implicit Crowdsourcing Data Collection

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Planning Not to Talk: Multiagent Systems that are Robust to Communication Loss

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Data-Centric Machine Learning in the Legal Domain

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Dilated Convolutional Neural Networks for Lightweight Diacritics Restoration

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Mining Fine-grained Semantics via Graph Neural Networks for Evidence-based Fake News Detection

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Incremental Knowledge Tracing from Multiple Schools

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Knowledge Tracing: A Survey

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AI for Closed-Loop Control Systems --- New Opportunities for Modeling, Designing, and Tuning Control Systems

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A Semantic Web Technology Index

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Inducing Structure in Reward Learning by Learning Features

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K-nearest Multi-agent Deep Reinforcement Learning for Collaborative Tasks with a Variable Number of Agents

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Safe Online Bid Optimization with Return-On-Investment and Budget Constraints subject to Uncertainty

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Deciding Not To Decide

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An Automatic Ontology Generation Framework with An Organizational Perspective

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Using Machine Learning Based Models for Personality Recognition

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Exploit Customer Life-time Value with Memoryless Experiments

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Explainable Decision Making with Lean and Argumentative Explanations

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Label-dependent and event-guided interpretable disease risk prediction using EHRs

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The Mathematics of Comparing Objects

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Lifelong Generative Learning via Knowledge Reconstruction

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Enhanced Self-Organizing Map Solution for the Traveling Salesman Problem

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Advancing Deep Residual Learning by Solving the Crux of Degradation in Spiking Neural Networks

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TourBERT: A pretrained language model for the tourism industry

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Development of Fake News Model using Machine Learning through Natural Language Processing

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Unveiling Project-Specific Bias in Neural Code Models

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Educational Timetabling: Problems, Benchmarks, and State-of-the-Art Results

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Problem examination for AI methods in product design

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Improving Behavioural Cloning with Human-Driven Dynamic Dataset Augmentation

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When Is It Acceptable to Break the Rules? Knowledge Representation of Moral Judgement Based on Empirical Data

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Correlated-informed neural networks: a new machine learning framework to predict pressure drop in micro-channels

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Cognitive Explainers of Graph Neural Networks Based on Medical Concepts

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Caring Without Sharing: A Federated Learning Crowdsensing Framework for Diversifying Representation of Cities

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Before and After: Machine learning for perioperative patient care

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Chatbot Based Solution for Supporting Software Incident Management Process

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LaMDA: Language Models for Dialog Applications

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"Project smells" -- Experiences in Analysing the Software Quality of ML Projects with mllint

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NaijaSenti: A Nigerian Twitter Sentiment Corpus for Multilingual Sentiment Analysis

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Critic Algorithms using Cooperative Networks

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Combining Machine Learning with Knowledge Engineering to detect Fake News in Social Networks-a survey

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Cognitive Ledger Project: Towards Building Personal Digital Twins Through Cognitive Blockchain

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From Psychological Curiosity to Artificial Curiosity: Curiosity-Driven Learning in Artificial Intelligence Tasks

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Recursive Least Squares for Training and Pruning Convolutional Neural Networks

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BigDatasetGAN: Synthesizing ImageNet with Pixel-wise Annotations

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Spatial-Temporal Map Vehicle Trajectory Detection Using Dynamic Mode Decomposition and Res-UNet+ Neural Networks

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Collision Detection: An Improved Deep Learning Approach Using SENet and ResNext

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A Survey on Masked Facial Detection Methods and Datasets for Fighting Against COVID-19

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RealGait: Gait Recognition for Person Re-Identification

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Conditional Variational Autoencoder with Balanced Pre-training for Generative Adversarial Networks

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BridgeFormer: Bridging Video-text Retrieval with Multiple Choice Questions

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MetaDance: Few-shot Dancing Video Retargeting via Temporal-aware Meta-learning

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VoLux-GAN: A Generative Model for 3D Face Synthesis with HDRI Relighting

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Technical Report for ICCV 2021 Challenge SSLAD-Track3B: Transformers Are Better Continual Learners

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Multi-granularity Association Learning Framework for on-the-fly Fine-Grained Sketch-based Image Retrieval

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TransVOD: End-to-end Video Object Detection with Spatial-Temporal Transformers

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CLIP-Event: Connecting Text and Images with Event Structures

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Pushing the limits of self-supervised ResNets: Can we outperform supervised learning without labels on ImageNet?

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SeamlessGAN: Self-Supervised Synthesis of Tileable Texture Maps

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Learning Enhancement of CNNs via Separation Index Maximizing at the First Convolutional Layer

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When less is more: Simplifying inputs aids neural network understanding

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Deep Leaning-Based Ultra-Fast Stair Detection

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Boundary-aware Self-supervised Learning for Video Scene Segmentation

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Argus++: Robust Real-time Activity Detection for Unconstrained Video Streams with Overlapping Cube Proposals

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A Thousand Words Are Worth More Than a Picture: Natural Language-Centric Outside-Knowledge Visual Question Answering

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A Novel Skeleton-Based Human Activity Discovery Technique Using Particle Swarm Optimization with Gaussian Mutation

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Disentanglement enables cross-domain Hippocampus Segmentation

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Two-Stage is Enough: A Concise Deep Unfolding Reconstruction Network for Flexible Video Compressive Sensing

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SDT-DCSCN for Simultaneous Super-Resolution and Deblurring of Text Images

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SS-3DCapsNet: Self-supervised 3D Capsule Networks for Medical Segmentation on Less Labeled Data

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ViTBIS: Vision Transformer for Biomedical Image Segmentation

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CISRNet: Compressed Image Super-Resolution Network

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Automatic Segmentation of Head and Neck Tumor: How Powerful Transformers Are?

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Continual Transformers: Redundancy-Free Attention for Online Inference

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Few-shot image segmentation for cross-institution male pelvic organs using registration-assisted prototypical learning

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Dual Perceptual Loss for Single Image Super-Resolution Using ESRGAN

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AugLy: Data Augmentations for Robustness

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VAQF: Fully Automatic Software-hardware Co-design Framework for Low-bit Vision Transformer

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Transformers in Action:Weakly Supervised Action Segmentation

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Learning Temporally and Semantically Consistent Unpaired Video-to-video Translation Through Pseudo-Supervision From Synthetic Optical Flow

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CLIP-TD: CLIP Targeted Distillation for Vision-Language Tasks

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Real-World Graph Convolution Networks (RW-GCNs) for Action Recognition in Smart Video Surveillance

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A Survey on RGB-D Datasets

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Smart Parking Space Detection under Hazy conditions using Convolutional Neural Networks: A Novel Approach

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Prototype Guided Network for Anomaly Segmentation

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Audio-Driven Talking Face Video Generation with Dynamic Convolution Kernels

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Video Transformers: A Survey

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Fully Convolutional Change Detection Framework with Generative Adversarial Network for Unsupervised, Weakly Supervised and Regional Supervised Change Detection

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Pursuing 3D Scene Structures with Optical Satellite Images from Affine Reconstruction to Euclidean Reconstruction

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You only look 10647 times

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Synthesis and Reconstruction of Fingerprints using Generative Adversarial Networks

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Fooling the Eyes of Autonomous Vehicles: Robust Physical Adversarial Examples Against Traffic Sign Recognition Systems

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Discourse Analysis for Evaluating Coherence in Video Paragraph Captions

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Face Detection in Extreme Conditions: A Machine-learning Approach

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The CLEAR Benchmark: Continual LEArning on Real-World Imagery

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Action Keypoint Network for Efficient Video Recognition

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RestoreFormer: High-Quality Blind Face Restoration From Undegraded Key-Value Pairs

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SwinUNet3D -- A Hierarchical Architecture for Deep Traffic Prediction using Shifted Window Transformers

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ProposalCLIP: Unsupervised Open-Category Object Proposal Generation via Exploiting CLIP Cues

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Convolutional Cobweb: A Model of Incremental Learning from 2D Images

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DDU-Net: Dual-Decoder-U-Net for Road Extraction Using High-Resolution Remote Sensing Images

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Pistol: Pupil Invisible Supportive Tool to extract Pupil, Iris, Eye Opening, Eye Movements, Pupil and Iris Gaze Vector, and 2D as well as 3D Gaze

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TaylorImNet for Fast 3D Shape Reconstruction Based on Implicit Surface Function

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Autoencoding Video Latents for Adversarial Video Generation

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It's All in the Head: Representation Knowledge Distillation through Classifier Sharing

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Attention-based Proposals Refinement for 3D Object Detection

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Attentional Feature Refinement and Alignment Network for Aircraft Detection in SAR Imagery

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MUSE-VAE: Multi-Scale VAE for Environment-Aware Long Term Trajectory Prediction

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GANmouflage: 3D Object Nondetection with Texture Fields

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Is Contrastive Learning Suitable for Left Ventricular Segmentation in Echocardiographic Images?

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The Role of Pleura and Adipose in Lung Ultrasound AI

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Online Deep Learning based on Auto-Encoder

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A Survey on Training Challenges in Generative Adversarial Networks for Biomedical Image Analysis

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Visualization and Analysis of Wearable Health Data From COVID-19 Patients

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Look Closer: Bridging Egocentric and Third-Person Views with Transformers for Robotic Manipulation

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Exploring Kervolutional Neural Networks

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OSSID: Online Self-Supervised Instance Detection by (and for) Pose Estimation

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TriCoLo: Trimodal Contrastive Loss for Fine-grained Text to Shape Retrieval

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Swin-Pose: Swin Transformer Based Human Pose Estimation

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KappaFace: Adaptive Additive Angular Margin Loss for Deep Face Recognition

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Poseur: Direct Human Pose Regression with Transformers

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Self-Supervised Deep Blind Video Super-Resolution

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WebUAV-3M: A Benchmark Unveiling the Power of Million-Scale Deep UAV Tracking

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DMF-Net: Dual-Branch Multi-Scale Feature Fusion Network for copy forgery identification of anti-counterfeiting QR code

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Real-time Recognition of Yoga Poses using computer Vision for Smart Health Care

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Open Source Handwritten Text Recognition on Medieval Manuscripts using Mixed Models and Document-Specific Finetuning

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Q-ViT: Fully Differentiable Quantization for Vision Transformer

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Object Detection in Autonomous Vehicles: Status and Open Challenges

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Towards a General Deep Feature Extractor for Facial Expression Recognition

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ConDor: Self-Supervised Canonicalization of 3D Pose for Partial Shapes

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An Automated Robotic Arm: A Machine Learning Approach

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Convolutional Neural Networks for Spherical Signal Processing via Spherical Haar Tight Framelets

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ASL Video Corpora & Sign Bank: Resources Available through the American Sign Language Linguistic Research Project (ASLLRP)

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Real-time Rendering for Integral Imaging Light Field Displays Based on a Voxel-Pixel Lookup Table

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The Role of Facial Expressions and Emotion in ASL

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Learning-by-Novel-View-Synthesis for Full-Face Appearance-based 3D Gaze Estimation

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Estimating Egocentric 3D Human Pose in the Wild with External Weak Supervision

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TerViT: An Efficient Ternary Vision Transformer

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The Elements of Temporal Sentence Grounding in Videos: A Survey and Future Directions

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AirPose: Multi-View Fusion Network for Aerial 3D Human Pose and Shape Estimation

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What can we learn from misclassified ImageNet images?

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A Computational Model for Machine Thinking

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HumanIBR: High Quality Image-based Rendering of Challenging Human Performers using Sparse Views

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End-to-end Generative Pretraining for Multimodal Video Captioning

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DIVA-DAF: A Deep Learning Framework for Historical Document Image Analysis

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Stitch it in Time: GAN-Based Facial Editing of Real Videos

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MeMViT: Memory-Augmented Multiscale Vision Transformer for Efficient Long-Term Video Recognition

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Comparison of Classification Algorithms for COVID19 Detection using Cough Acoustic Signals

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The Effectiveness of Time Stretching for Enhancing Dysarthric Speech for Improved Dysarthric Speech Recognition

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A Study of Transducer based End-to-End ASR with ESPnet: Architecture, Auxiliary Loss and Decoding Strategies

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Beyond chord vocabularies: Exploiting pitch-relationships in a chord estimation metric

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KazakhTTS2: Extending the Open-Source Kazakh TTS Corpus With More Data, Speakers, and Topics

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Recent Progress in the CUHK Dysarthric Speech Recognition System

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Common Phone: A Multilingual Dataset for Robust Acoustic Modelling

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Comparison of COVID-19 Prediction Performances of Normalization Methods on Cough Acoustics Sounds

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Group Gated Fusion on Attention-based Bidirectional Alignment for Multimodal Emotion Recognition

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How Bad Are Artifacts?: Analyzing the Impact of Speech Enhancement Errors on ASR

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Human and Automatic Speech Recognition Performance on German Oral History Interviews

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ConvMixer: Feature Interactive Convolution with Curriculum Learning for Small Footprint and Noisy Far-field Keyword Spotting

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MsEmoTTS: Multi-scale emotion transfer, prediction, and control for emotional speech synthesis

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Opencpop: A High-Quality Open Source Chinese Popular Song Corpus for Singing Voice Synthesis

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MHTTS: Fast multi-head text-to-speech for spontaneous speech with imperfect transcription

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The Recurrent Reinforcement Learning Crypto Agent

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Precise Stock Price Prediction for Robust Portfolio Design from Selected Sectors of the Indian Stock Market

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Dynamics of Bitcoin mining

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Optimal trend following portfolios

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COVID-19 impact on the international trade

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Long Short-Term Memory Neural Network for Financial Time Series

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Applicability of Large Corporate Credit Models to Small Business Risk Assessment

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