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?!

Estimators of Entropy and Information via Inference in Probabilistic Models

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Construction of Large-Scale Misinformation Labeled Datasets from Social Media Discourse using Label Refinement

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Learning Invariant Weights in Neural Networks

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GAME-ON: Graph Attention Network based Multimodal Fusion for Fake News Detection

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Machine Learning based refinement strategies for polyhedral grids with applications to Virtual Element and polyhedral Discontinuous Galerkin methods

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Early Disease Stage Characterization in Parkinson's Disease from Resting-state fMRI Data Using a Long Short-term Memory Network

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Handwriting Biometrics: Applications and Future Trends in e-Security and e-Health

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Model Comparison and Calibration Assessment: User Guide for Consistent Scoring Functions in Machine Learning and Actuarial Practice

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A Systematic Literature Review about Idea Mining: The Use of Machine-driven Analytics to Generate Ideas

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Convergence of a New Learning Algorithm

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Exploiting Problem Structure in Deep Declarative Networks: Two Case Studies

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Multi-View Graph Representation for Programming Language Processing: An Investigation into Algorithm Detection

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A Deep Learning Approach for Network-wide Dynamic Traffic Prediction during Hurricane Evacuation

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Learning to Liquidate Forex: Optimal Stopping via Adaptive Top-K Regression

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Do autoencoders need a bottleneck for anomaly detection?

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Bayesian autoencoders with uncertainty quantification: Towards trustworthy anomaly detection

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Learning Dynamic Mechanisms in Unknown Environments: A Reinforcement Learning Approach

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An initial alignment between neural network and target is needed for gradient descent to learn

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AutoFR: Automated Filter Rule Generation for Adblocking

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Biological error correction codes generate fault-tolerant neural networks

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BagPipe: Accelerating Deep Recommendation Model Training

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Arrhythmia Classifier Using Convolutional Neural Network with Adaptive Loss-aware Multi-bit Networks Quantization

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Automated Identification of Toxic Code Reviews: How Far Can We Go?

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Neuro-Inspired Deep Neural Networks with Sparse, Strong Activations

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Machine Learning Empowered Intelligent Data Center Networking: A Survey

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Semi-supervised Learning on Large Graphs: is Poisson Learning a Game-Changer?

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On the Benefits of Large Learning Rates for Kernel Methods

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A Real-World Implementation of Unbiased Lift-based Bidding System

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Wastewater Pipe Rating Model Using Natural Language Processing

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Projective Ranking-based GNN Evasion Attacks

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Graph Attention Retrospective

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Optimal-er Auctions through Attention

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Vertical Machine Unlearning: Selectively Removing Sensitive Information From Latent Feature Space

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Deep Learning-Based Inverse Design for Engineering Systems: Multidisciplinary Design Optimization of Automotive Brakes

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Benign Underfitting of Stochastic Gradient Descent

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Robust Continual Learning through a Comprehensively Progressive Bayesian Neural Network

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ONE-NAS: An Online NeuroEvolution based Neural Architecture Search for Time Series Forecasting

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Sparsity-aware neural user behavior modeling in online interaction platforms

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A Machine Learning Method for Material Property Prediction: Example Polymer Compatibility

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Towards Machine Learning for Placement and Routing in Chip Design: a Methodological Overview

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KL Divergence Estimation with Multi-group Attribution

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Improving Response Time of Home IoT Services in Federated Learning

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Online Learning with Knapsacks: the Best of Both Worlds

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How and what to learn:The modes of machine learning

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Hyperbolic Graph Neural Networks: A Review of Methods and Applications

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A Proximal Algorithm for Sampling

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Interfacing Finite Elements with Deep Neural Operators for Fast Multiscale Modeling of Mechanics Problems

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On classification of strategic agents who can both game and improve

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Investigating the Spatiotemporal Charging Demand and Travel Behavior of Electric Vehicles Using GPS Data: A Machine Learning Approach

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Molecular Dynamics of Polymer-lipids in Solution from Supervised Machine Learning

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Particle-based Fast Jet Simulation at the LHC with Variational Autoencoders

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DAMO-NLP at SemEval-2022 Task 11: A Knowledge-based System for Multilingual Named Entity Recognition

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DeepNet: Scaling Transformers to 1,000 Layers

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Path sampling of recurrent neural networks by incorporating known physics

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Distributional Reinforcement Learning for Scheduling of (Bio)chemical Production Processes

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AI-based approach for improving the detection of blood doping in sports

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GCN-Transformer for short-term passenger flow prediction on holidays in urban rail transit systems

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Pedagogical Demonstrations and Pragmatic Learning in Artificial Tutor-Learner Interactions

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NeuRecover: Regression-Controlled Repair of Deep Neural Networks with Training History

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Explainability for identification of vulnerable groups in machine learning models

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An Analytical Approach to Compute the Exact Preimage of Feed-Forward Neural Networks

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Parameter-free Mirror Descent

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Beyond Gradients: Exploiting Adversarial Priors in Model Inversion Attacks

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Multi-Objective Latent Space Optimization of Generative Molecular Design Models

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HyperPrompt: Prompt-based Task-Conditioning of Transformers

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Multi-Layer Perceptron Neural Network for Improving Detection Performance of Malicious Phishing URLs Without Affecting Other Attack Types Classification

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Code Smells in Machine Learning Systems

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Transfer Learning of High-Fidelity Opacity Spectra in Autoencoders and Surrogate Models

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A density peaks clustering algorithm with sparse search and K-d tree

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UAV-Aided Decentralized Learning over Mesh Networks

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Hyperparameter optimization of data-driven AI models on HPC systems

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VaiPhy: a Variational Inference Based Algorithm for Phylogeny

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Rethinking Pretraining as a Bridge from ANNs to SNNs

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Learning Conditional Variational Autoencoders with Missing Covariates

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Convolutional neural networks as an alternative to Bayesian retrievals

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Supervised Hebbian learning: toward eXplainable AI

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Personalized Federated Learning With Structure

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Discriminating Against Unrealistic Interpolations in Generative Adversarial Networks

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SelfKG: Self-Supervised Entity Alignment in Knowledge Graphs

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DCT-Former: Efficient Self-Attention with Discrete Cosine Transform

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Application of Ghost-DeblurGAN to Fiducial Marker Detection

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Weightless Neural Networks for Efficient Edge Inference

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Automated clustering of COVID-19 anti-vaccine discourse on Twitter

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Quantity over Quality: Training an AV Motion Planner with Large Scale Commodity Vision Data

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KamNet: An Integrated Spatiotemporal Deep Neural Network for Rare Event Search in KamLAND-Zen

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Nemo: Guiding and Contextualizing Weak Supervision for Interactive Data Programming

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Neural Graph Matching for Pre-training Graph Neural Networks

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Uniform Approximations for Randomized Hadamard Transforms with Applications

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AdaFamily: A family of Adam-like adaptive gradient methods

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Curvature Graph Generative Adversarial Networks

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Fail-Safe Generative Adversarial Imitation Learning

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Why Do Machine Learning Practitioners Still Use Manual Tuning? A Qualitative Study

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An Adaptive Human Driver Model for Realistic Race Car Simulations

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Fine-Grained Prediction of Political Leaning on Social Media with Unsupervised Deep Learning

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HeRo 2.0: A Low-Cost Robot for Swarm Robotics Research

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Directed Graph Auto-Encoders

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Human-Centered Concept Explanations for Neural Networks

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Prediction of Depression Severity Based on the Prosodic and Semantic Features with Bidirectional LSTM and Time Distributed CNN

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Bidding Agent Design in the LinkedIn Ad Marketplace

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NeuralKG: An Open Source Library for Diverse Representation Learning of Knowledge Graphs

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Brain Principles Programming

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Human Detection of Political Deepfakes across Transcripts, Audio, and Video

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Deep Learning, Natural Language Processing, and Explainable Artificial Intelligence in the Biomedical Domain

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Building a 3-Player Mahjong AI using Deep Reinforcement Learning

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Learning English with Peppa Pig

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Learning physics-informed simulation models for soft robotic manipulation: A case study with dielectric elastomer actuators

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Iterative Genetic Improvement: Scaling Stochastic Program Synthesis

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QuoteR: A Benchmark of Quote Recommendation for Writing

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BioADAPT-MRC: Adversarial Learning-based Domain Adaptation Improves Biomedical Machine Reading Comprehension Task

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A Generative Model for Relation Extraction and Classification

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Automated Data Augmentations for Graph Classification

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The Unfairness of Active Users and Popularity Bias in Point-of-Interest Recommendation

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The Unfairness of Popularity Bias in Book Recommendation

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PheroCom: Decentralised and asynchronous swarm robotics coordination based on virtual pheromone and vibroacoustic communication

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UCTopic: Unsupervised Contrastive Learning for Phrase Representations and Topic Mining

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Machine learning techniques to identify antibiotic resistance in patients diagnosed with various skin and soft tissue infections

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Keyword Optimization in Sponsored Search Advertising: A Multi-Level Computational Framework

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Anti-Malware Sandbox Games

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Risk-Aware Scene Sampling for Dynamic Assurance of Autonomous Systems

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Filter-enhanced MLP is All You Need for Sequential Recommendation

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Generalizable task representation learning from human demonstration videos: a geometric approach

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Prepare for Trouble and Make it Double. Supervised and Unsupervised Stacking for AnomalyBased Intrusion Detection

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Monkey Business: Reinforcement learning meets neighborhood search for Virtual Network Embedding

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GENOME: A GENeric methodology for Ontological Modelling of Epics

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TraceNet: Tracing and Locating the Key Elements in Sentiment Analysis

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Proceedings of the Artificial Intelligence for Cyber Security (AICS) Workshop at AAAI 2022

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ParaNames: A Massively Multilingual Entity Name Corpus

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Attacks and Faults Injection in Self-Driving Agents on the Carla Simulator -- Experience Report

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Healthsheet: Development of a Transparency Artifact for Health Datasets

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Towards Revenue Maximization with Popular and Profitable Products

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Sustainability using Renewable Electricity (SuRE) towards NetZero Emissions

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The Quest for a Common Model of the Intelligent Decision Maker

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DialFRED: Dialogue-Enabled Agents for Embodied Instruction Following

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The Art of Manipulation: Threat of Multi-Step Manipulative Attacks in Security Games

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Inkorrect: Online Handwriting Spelling Correction

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LISA: Learning Interpretable Skill Abstractions from Language

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Do Transformers use variable binding?

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First do not fall: learning to exploit the environment with a damaged humanoid robot

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Read before Generate! Faithful Long Form Question Answering with Machine Reading

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OpenDR: An Open Toolkit for Enabling High Performance, Low Footprint Deep Learning for Robotics

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Interpretable Molecular Graph Generation via Monotonic Constraints

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PaSca: a Graph Neural Architecture Search System under the Scalable Paradigm

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Sampling-Based Winner Prediction in District-Based Elections

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TSAM: A Two-Stream Attention Model for Causal Emotion Entailment

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FastFold: Reducing AlphaFold Training Time from 11 Days to 67 Hours

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Characterizing the organizational diversity of protein interaction networks across three domains of life

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InsertionNet 2.0: Minimal Contact Multi-Step Insertion Using Multimodal Multiview Sensory Input

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Avant-Satie! Using ERIK to encode task-relevant expressivity into the animation of autonomous social robots

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Computerization of Clinical Pathways: A Literature Review and Directions for Future Research

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Responsible-AI-by-Design: a Pattern Collection for Designing Responsible AI Systems

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PKGM: A Pre-trained Knowledge Graph Model for E-commerce Application

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Controlling the Focus of Pretrained Language Generation Models

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Counterfactually Evaluating Explanations in Recommender Systems

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Detecting Chronic Kidney Disease(CKD) at the Initial Stage: A Novel Hybrid Feature-selection Method and Robust Data Preparation Pipeline for Different ML Techniques

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An Open Challenge for Inductive Link Prediction on Knowledge Graphs

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QaNER: Prompting Question Answering Models for Few-shot Named Entity Recognition

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Dialogue Summaries as Dialogue States (DS2), Template-Guided Summarization for Few-shot Dialogue State Tracking

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Improving Health Mentioning Classification of Tweets using Contrastive Adversarial Training

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Time Efficient Training of Progressive Generative Adversarial Network using Depthwise Separable Convolution and Super Resolution Generative Adversarial Network

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Faithful learning with sure data for lung nodule diagnosis

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Learning to Identify Perceptual Bugs in 3D Video Games

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RescueNet: A High Resolution UAV Semantic Segmentation Benchmark Dataset for Natural Disaster Damage Assessment

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StyleCLIPDraw: Coupling Content and Style in Text-to-Drawing Translation

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Efficient Video Segmentation Models with Per-frame Inference

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Understanding Adversarial Robustness from Feature Maps of Convolutional Layers

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RRL:Regional Rotation Layer in Convolutional Neural Networks

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TeachAugment: Data Augmentation Optimization Using Teacher Knowledge

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A Novel Hand Gesture Detection and Recognition system based on ensemble-based Convolutional Neural Network

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6D Rotation Representation For Unconstrained Head Pose Estimation

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RELMOBNET: A Robust Two-Stage End-To-End Training Approach For MOBILENETV3 Based Relative Camera Pose Estimation

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Multi-View Fusion Transformer for Sensor-Based Human Activity Recognition

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DXM-TransFuse U-net: Dual Cross-Modal Transformer Fusion U-net for Automated Nerve Identification

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CTformer: Convolution-free Token2Token Dilated Vision Transformer for Low-dose CT Denoising

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Towards A Device-Independent Deep Learning Approach for the Automated Segmentation of Sonographic Fetal Brain Structures: A Multi-Center and Multi-Device Validation

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Avalanche RL: a Continual Reinforcement Learning Library

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RestainNet: a self-supervised digital re-stainer for stain normalization

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Precision-medicine-toolbox: An open-source python package for facilitation of quantitative medical imaging and radiomics analysis

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SUNet: Swin Transformer UNet for Image Denoising

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Model Attribution of Face-swap Deepfake Videos

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FSGANv2: Improved Subject Agnostic Face Swapping and Reenactment

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An Improved Deep Learning Approach For Product Recognition on Racks in Retail Stores

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RIConv++: Effective Rotation Invariant Convolutions for 3D Point Clouds Deep Learning

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Continuous Human Action Recognition for Human-Machine Interaction: A Review

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Symmetric Convolutional Filters: A Novel Way to Constrain Parameters in CNN

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Blind Image Super Resolution with Semantic-Aware Quantized Texture Prior

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Pix2NeRF: Unsupervised Conditional $π$-GAN for Single Image to Neural Radiance Fields Translation

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Edge Augmentation for Large-Scale Sketch Recognition without Sketches

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A Computer Vision-assisted Approach to Automated Real-Time Road Infrastructure Management

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An Efficient End-to-End 3D Model Reconstruction based on Neural Architecture Search

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PanoFlow: Learning Optical Flow for Panoramic Images

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Transformer-based Knowledge Distillation for Efficient Semantic Segmentation of Road-driving Scenes

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Concept Graph Neural Networks for Surgical Video Understanding

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A Multimodal German Dataset for Automatic Lip Reading Systems and Transfer Learning

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Application of DatasetGAN in medical imaging: preliminary studies

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StrongSORT: Make DeepSORT Great Again

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Towards Class-agnostic Tracking Using Feature Decorrelation in Point Clouds

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Name Your Style: An Arbitrary Artist-aware Image Style Transfer

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Unsupervised Representation Learning for Point Clouds: A Survey

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Interactive Machine Learning for Image Captioning

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Bina-Rep Event Frames: a Simple and Effective Representation for Event-based cameras

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FedDrive: Generalizing Federated Learning to Semantic Segmentation in Autonomous Driving

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TC-Net: Triple Context Network for Automated Stroke Lesion Segmentation

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OUR-GAN: One-shot Ultra-high-Resolution Generative Adversarial Networks

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Variable Rate Compression for Raw 3D Point Clouds

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A new face database simultaneously acquired in visible, near infrared and thermal spectrum

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EdgeMixup: Improving Fairness for Skin Disease Classification and Segmentation

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"If you could see me through my eyes": Predicting Pedestrian Perception

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Deep, Deep Learning with BART

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State-of-the-Art in the Architecture, Methods and Applications of StyleGAN

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Spatio-temporal Vision Transformer for Super-resolution Microscopy

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Separable-HoverNet and Instance-YOLO for Colon Nuclei Identification and Counting

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ProgressLabeller: Visual Data Stream Annotation for Training Object-Centric 3D Perception

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Towards IID representation learning and its application on biomedical data

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Variational Autoencoders Without the Variation

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Voxelmorph++ Going beyond the cranial vault with keypoint supervision and multi-channel instance optimisation

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Local and Global GANs with Semantic-Aware Upsampling for Image Generation

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One Model is All You Need: Multi-Task Learning Enables Simultaneous Histology Image Segmentation and Classification

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MRI-GAN: A Generalized Approach to Detect DeepFakes using Perceptual Image Assessment

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A Multi-scale Transformer for Medical Image Segmentation: Architectures, Model Efficiency, and Benchmarks

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Spatiotemporal Transformer Attention Network for 3D Voxel Level Joint Segmentation and Motion Prediction in Point Cloud

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Understanding the Challenges When 3D Semantic Segmentation Faces Class Imbalanced and OOD Data

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When A Conventional Filter Meets Deep Learning: Basis Composition Learning on Image Filters

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Adversarial samples for deep monocular 6D object pose estimation

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CLIP-GEN: Language-Free Training of a Text-to-Image Generator with CLIP

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Self-Supervised Vision Transformers Learn Visual Concepts in Histopathology

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Generative Adversarial Networks

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CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding

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Fast and Robust Ground Surface Estimation from LIDAR Measurements using Uniform B-Splines

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A Simple and Universal Rotation Equivariant Point-cloud Network

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Knock, knock. Who's there? -- Identifying football player jersey numbers with synthetic data

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3D Skeleton-based Human Motion Prediction with Manifold-Aware GAN

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Runtime Detection of Executional Errors in Robot-Assisted Surgery

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Low-Cost On-device Partial Domain Adaptation (LoCO-PDA): Enabling efficient CNN retraining on edge devices

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InCloud: Incremental Learning for Point Cloud Place Recognition

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Robust Seatbelt Detection and Usage Recognition for Driver Monitoring Systems

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3DCTN: 3D Convolution-Transformer Network for Point Cloud Classification

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OmniFusion: 360 Monocular Depth Estimation via Geometry-Aware Fusion

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MixSTE: Seq2seq Mixed Spatio-Temporal Encoder for 3D Human Pose Estimation in Video

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Incremental Transformer Structure Enhanced Image Inpainting with Masking Positional Encoding

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Dense Voxel Fusion for 3D Object Detection

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ParaPose: Parameter and Domain Randomization Optimization for Pose Estimation using Synthetic Data

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GRASP EARTH: Intuitive Software for Discovering Changes on the Planet

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Aggregated Pyramid Vision Transformer: Split-transform-merge Strategy for Image Recognition without Convolutions

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TableFormer: Table Structure Understanding with Transformers

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3D object reconstruction and 6D-pose estimation from 2D shape for robotic grasping of objects

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OVE6D: Object Viewpoint Encoding for Depth-based 6D Object Pose Estimation

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Continual BatchNorm Adaptation (CBNA) for Semantic Segmentation

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Vision-based Large-scale 3D Semantic Mapping for Autonomous Driving Applications

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VAE-iForest: Auto-encoding Reconstruction and Isolation-based Anomalies Detecting Fallen Objects on Road Surface

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Video Question Answering: Datasets, Algorithms and Challenges

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H4D: Human 4D Modeling by Learning Neural Compositional Representation

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Self-supervised Transformer for Deepfake Detection

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CycleMix: A Holistic Strategy for Medical Image Segmentation from Scribble Supervision

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Self-supervised Transparent Liquid Segmentation for Robotic Pouring

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Detecting High-Quality GAN-Generated Face Images using Neural Networks

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NeuroFluid: Fluid Dynamics Grounding with Particle-Driven Neural Radiance Fields

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What Makes Transfer Learning Work For Medical Images: Feature Reuse & Other Factors

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DenseUNets with feedback non-local attention for the segmentation of specular microscopy images of the corneal endothelium with Fuchs dystrophy

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Recent, rapid advancement in visual question answering architecture

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MUAD: Multiple Uncertainties for Autonomous Driving benchmark for multiple uncertainty types and tasks

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LILE: Look In-Depth before Looking Elsewhere -- A Dual Attention Network using Transformers for Cross-Modal Information Retrieval in Histopathology Archives

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Object Pose Estimation using Mid-level Visual Representations

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PetsGAN: Rethinking Priors for Single Image Generation

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NeW CRFs: Neural Window Fully-connected CRFs for Monocular Depth Estimation

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Ad2Attack: Adaptive Adversarial Attack on Real-Time UAV Tracking

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BatchFormer: Learning to Explore Sample Relationships for Robust Representation Learning

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Recent Advances in Vision Transformer: A Survey and Outlook of Recent Work

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ViTransPAD: Video Transformer using convolution and self-attention for Face Presentation Attack Detection

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HOI4D: A 4D Egocentric Dataset for Category-Level Human-Object Interaction

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Multi-Tailed Vision Transformer for Efficient Inference

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3D Human Motion Prediction: A Survey

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Adaptive Path Planning for UAVs for Multi-Resolution Semantic Segmentation

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Ensembles of Vision Transformers as a New Paradigm for Automated Classification in Ecology

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Beyond 3D Siamese Tracking: A Motion-Centric Paradigm for 3D Single Object Tracking in Point Clouds

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PINA: Learning a Personalized Implicit Neural Avatar from a Single RGB-D Video Sequence

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Vision-Language Intelligence: Tasks, Representation Learning, and Large Models

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Recovering 3D Human Mesh from Monocular Images: A Survey

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CenterSnap: Single-Shot Multi-Object 3D Shape Reconstruction and Categorical 6D Pose and Size Estimation

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A Survey of Multilingual Models for Automatic Speech Recognition

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State-of-the-art in speaker recognition

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Benchmarking Generative Latent Variable Models for Speech

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GenéLive! Generating Rhythm Actions in Love Live!

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Ask2Mask: Guided Data Selection for Masked Speech Modeling

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Deep Neural Network for Automatic Assessment of Dysphonia

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Revisiting Over-Smoothness in Text to Speech

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Learning the Beauty in Songs: Neural Singing Voice Beautifier

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Towards Reducing the Need for Speech Training Data To Build Spoken Language Understanding Systems

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BERT-LID: Leveraging BERT to Improve Spoken Language Identification

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Towards a Common Speech Analysis Engine

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A comparative study of several parameterizations for speaker recognition

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Towards Contextual Spelling Correction for Customization of End-to-end Speech Recognition Systems

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U-Singer: Multi-Singer Singing Voice Synthesizer that Controls Emotional Intensity

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A Conformer Based Acoustic Model for Robust Automatic Speech Recognition

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DareFightingICE Competition: A Fighting Game Sound Design and AI Competition

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The Vicomtech Audio Deepfake Detection System based on Wav2Vec2 for the 2022 ADD Challenge

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Speech segmentation using multilevel hybrid filters

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Living and perceiving a crisis: how the pandemic influenced Americans' preferences and beliefs

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An analysis of indifference curves and areas from a human nutrition perspective

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The political economy of big data leaks: Uncovering the skeleton of tax evasion

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Scarring effects of the COVID-19 pandemic on the Italian labour market

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Instant Loans Can Lift Subjective Well-Being: A Randomized Evaluation of Digital Credit in Nigeria

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Making use of supercomputers in financial machine learning

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Satellite Image and Machine Learning based Knowledge Extraction in the Poverty and Welfare Domain

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Awareness and use of quantitative decision-making methods in pharmaceutical development

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A Matching Mechanism for Provision of Housing to the Marginalized

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Precise Stock Price Prediction for Optimized Portfolio Design Using an LSTM Model

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Machine learning model to project the impact of Ukraine crisis

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