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?!

Hierarchical Risk Parity and Minimum Variance Portfolio Design on NIFTY 50 Stocks

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On One-Bit Quantization

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Factored World Models for Zero-Shot Generalization in Robotic Manipulation

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DDoS-UNet: Incorporating temporal information using Dynamic Dual-channel UNet for enhancing super-resolution of dynamic MRI

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Jigsaw Puzzle: Selective Backdoor Attack to Subvert Malware Classifiers

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Deep artificial neural network for prediction of atrial fibrillation through the analysis of 12-leads standard ECG

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Bounded nonlinear forecasts of partially observed geophysical systems with physics-constrained deep learning

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Development and Validation of an AI-Driven Model for the La Rance Tidal Barrage: A Generalisable Case Study

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Electricity Consumption Forecasting for Out-of-distribution Time-of-Use Tariffs

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Hybridization of Capsule and LSTM Networks for unsupervised anomaly detection on multivariate data

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A Lightweight, Efficient and Explainable-by-Design Convolutional Neural Network for Internet Traffic Classification

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Choices, Risks, and Reward Reports: Charting Public Policy for Reinforcement Learning Systems

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Automated Architecture Search for Brain-inspired Hyperdimensional Computing

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Improving Image-recognition Edge Caches with a Generative Adversarial Network

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RETE: Retrieval-Enhanced Temporal Event Forecasting on Unified Query Product Evolutionary Graph

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Online Bayesian Recommendation with No Regret

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Automatic Issue Classifier: A Transfer Learning Framework for Classifying Issue Reports

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PQuAD: A Persian Question Answering Dataset

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Feature Construction and Selection for PV Solar Power Modeling

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Efficient Natural Gradient Descent Methods for Large-Scale Optimization Problems

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A Tech Hybrid-Recommendation Engine and Personalized Notification: An integrated tool to assist users through Recommendations (Project ATHENA)

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On the complexity of All $\varepsilon$-Best Arms Identification

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Scaling Laws Under the Microscope: Predicting Transformer Performance from Small Scale Experiments

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State-of-the-Art Review of Design of Experiments for Physics-Informed Deep Learning

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Exact Statistical Inference for Time Series Similarity using Dynamic Time Warping by Selective Inference

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UnScenE: Toward Unsupervised Scenario Extraction for Automated Driving Systems from Urban Naturalistic Road Traffic Data

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CodeFill: Multi-token Code Completion by Jointly Learning from Structure and Naming Sequences

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Attention-based Deep Neural Networks for Battery Discharge Capacity Forecasting

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Continual Learning from Demonstration of Robotic Skills

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Robust Deep Semi-Supervised Learning: A Brief Introduction

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Improving Fraud detection via Hierarchical Attention-based Graph Neural Network

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Emotion Based Hate Speech Detection using Multimodal Learning

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The Sample Complexity of One-Hidden-Layer Neural Networks

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Learning Asymmetric Embedding for Attributed Networks via Convolutional Neural Network

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Reverse Back Propagation to Make Full Use of Derivative

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Benign Overfitting in Two-layer Convolutional Neural Networks

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An Introduction to Neural Data Compression

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Conditional Generation Net for Medication Recommendation

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Graph-GAN: A spatial-temporal neural network for short-term passenger flow prediction in urban rail transit systems

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Quantus: An Explainable AI Toolkit for Responsible Evaluation of Neural Network Explanations

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Black-Box Generalization

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Towards Best Practice of Interpreting Deep Learning Models for EEG-based Brain Computer Interfaces

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Scaling up Ranking under Constraints for Live Recommendations by Replacing Optimization with Prediction

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Federated Graph Neural Networks: Overview, Techniques and Challenges

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Artificial Intelligence-Based Analytics for Impacts of COVID-19 and Online Learning on College Students' Mental Health

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Can Online Customer Reviews Help Design More Sustainable Products? A Preliminary Study on Amazon Climate Pledge Friendly Products

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Forecasting Global Weather with Graph Neural Networks

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Identifying equivalent Calabi--Yau topologies: A discrete challenge from math and physics for machine learning

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Tomayto, Tomahto. Beyond Token-level Answer Equivalence for Question Answering Evaluation

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Deep Ensembles Work, But Are They Necessary?

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Geometrically Equivariant Graph Neural Networks: A Survey

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Exploiting Data Sparsity in Secure Cross-Platform Social Recommendation

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Convolutional Network Fabric Pruning With Label Noise

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XAI for Transformers: Better Explanations through Conservative Propagation

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StratDef: a strategic defense against adversarial attacks in malware detection

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Damped Online Newton Step for Portfolio Selection

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Deep Convolutional Autoencoder for Assessment of Anomalies in Multi-stream Sensor Data

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Simulating Malicious Attacks on VANETs for Connected and Autonomous Vehicle Cybersecurity: A Machine Learning Dataset

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The efficacy and generalizability of conditional GANs for posterior inference in physics-based inverse problems

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Application of Long Short-Term Memory Recurrent Neural Networks Based on the BAT-MCS for Binary-State Network Approximated Time-Dependent Reliability Problems

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Aryl: An Elastic Cluster Scheduler for Deep Learning

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Toward Development of Machine Learned Techniques for Production of Compact Kinetic Models

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Modular multi-source prediction of drug side-effects with DruGNN

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Voice Filter: Few-shot text-to-speech speaker adaptation using voice conversion as a post-processing module

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A Survey of Pretraining on Graphs: Taxonomy, Methods, and Applications

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On Measuring Excess Capacity in Neural Networks

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Measuring Unintended Memorisation of Unique Private Features in Neural Networks

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Towards Battery-Free Machine Learning and Inference in Underwater Environments

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Learning stochastic dynamics and predicting emergent behavior using transformers

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The learning phases in NN: From Fitting the Majority to Fitting a Few

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TorchDrug: A Powerful and Flexible Machine Learning Platform for Drug Discovery

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Graph Masked Autoencoder

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A Survey of Explainable Reinforcement Learning

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SAITS: Self-Attention-based Imputation for Time Series

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DeepHybrid: Deep Learning on Automotive Radar Spectra and Reflections for Object Classification

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A Collection and Categorization of Open-Source Wind and Wind Power Datasets

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When, where, and how to add new neurons to ANNs

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Oracle-Efficient Online Learning for Beyond Worst-Case Adversaries

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Gradients without Backpropagation

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Ensemble Conformalized Quantile Regression for Probabilistic Time Series Forecasting

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The Exact Class of Graph Functions Generated by Graph Neural Networks

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Trust in AI: Interpretability is not necessary or sufficient, while black-box interaction is necessary and sufficient

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Do People Engage Cognitively with AI? Impact of AI Assistance on Incidental Learning

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Noise Augmentation Is All You Need For FGSM Fast Adversarial Training: Catastrophic Overfitting And Robust Overfitting Require Different Augmentation

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The Shapley Value in Machine Learning

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ClidSum: A Benchmark Dataset for Cross-Lingual Dialogue Summarization

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Online Decision Transformer

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Molecule Generation from Input-Attributions over Graph Convolutional Networks

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MusIAC: An extensible generative framework for Music Infilling Applications with multi-level Control

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Answer Set Planning: A Survey

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Visualising Multiplayer Game Spaces

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Compute Trends Across Three Eras of Machine Learning

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Games of Artificial Intelligence: A Continuous-Time Approach

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Artificial Intelligence and Auction Design

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RoPGen: Towards Robust Code Authorship Attribution via Automatic Coding Style Transformation

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StoryBuddy: A Human-AI Collaborative Chatbot for Parent-Child Interactive Storytelling with Flexible Parental Involvement

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Metric Learning-enhanced Optimal Transport for Biochemical Regression Domain Adaptation

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ET-BERT: A Contextualized Datagram Representation with Pre-training Transformers for Encrypted Traffic Classification

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Transformer-based Approaches for Legal Text Processing

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Measuring "Why" in Recommender Systems: a Comprehensive Survey on the Evaluation of Explainable Recommendation

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Modeling Intention, Emotion and External World in Dialogue Systems

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SAUTE RL: Almost Surely Safe Reinforcement Learning Using State Augmentation

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A Graph-based U-Net Model for Predicting Traffic in unseen Cities

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Machine Learning-Aided Discovery of Superionic Solid-State Electrolyte for Li-Ion Batteries

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Online Approval Committee Elections

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What Do They Capture? -- A Structural Analysis of Pre-Trained Language Models for Source Code

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Sequence-to-Sequence Resources for Catalan

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Repairing the Cracked Foundation: A Survey of Obstacles in Evaluation Practices for Generated Text

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Confident AI

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Goal Recognition as Reinforcement Learning

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QuadSim: A Quadcopter Rotational Dynamics Simulation Framework For Reinforcement Learning Algorithms

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Artificial Intelligence-Based Smart Grid Vulnerabilities and Potential Solutions for Fake-Normal Attacks: A Short Review

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Motivating Physical Activity via Competitive Human-Robot Interaction

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Benchmarking Robot Manipulation with the Rubik's Cube

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Learning to Mitigate AI Collusion on Economic Platforms

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Transformers in Time Series: A Survey

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On Tracking Dialogue State by Inheriting Slot Values in Mentioned Slot Pools

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Case law retrieval: problems, methods, challenges and evaluations in the last 20 years

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Unreasonable Effectiveness of Last Hidden Layer Activations

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Personalized Prompt Learning for Explainable Recommendation

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Relational Artificial Intelligence

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State of AI Ethics Report (Volume 6, February 2022)

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Trustworthy Autonomous Systems (TAS): Engaging TAS experts in curriculum design

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EvoKG: Jointly Modeling Event Time and Network Structure for Reasoning over Temporal Knowledge Graphs

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Learning to Discover Medicines

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Trustworthy Anomaly Detection: A Survey

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Russian SuperGLUE 1.1: Revising the Lessons not Learned by Russian NLP models

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Generative Adversarial Network-Driven Detection of Adversarial Tasks in Mobile Crowdsensing

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CycleGAN for Undamaged-to-Damaged Domain Translation for Structural Health Monitoring and Damage Detection

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Singularity: Planet-Scale, Preemptible, Elastic Scheduling of AI Workloads

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A Review of Topological Data Analysis for Cybersecurity

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A Prospective Approach for Human-to-Human Interaction Recognition from Wi-Fi Channel Data using Attention Bidirectional Gated Recurrent Neural Network with GUI Application Implementation

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An Intrusion Response System utilizing Deep Q-Networks and System Partitions

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SemiRetro: Semi-template framework boosts deep retrosynthesis prediction

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HousE: Knowledge Graph Embedding with Householder Parameterization

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Open-Ended Reinforcement Learning with Neural Reward Functions

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More to Less (M2L): Enhanced Health Recognition in the Wild with Reduced Modality of Wearable Sensors

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The Quarks of Attention

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Text-Based Action-Model Acquisition for Planning

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Transformer for Graphs: An Overview from Architecture Perspective

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The Gene of Scientific Success

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A Survey on Deep Reinforcement Learning-based Approaches for Adaptation and Generalization

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Revisiting the Evaluation Metrics of Paraphrase Generation

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AISHELL-NER: Named Entity Recognition from Chinese Speech

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Fingerprinting Deep Neural Networks Globally via Universal Adversarial Perturbations

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Seeing Like a Toolkit: How Toolkits Envision the Work of AI Ethics

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Mining On Alzheimer's Diseases Related Knowledge Graph to Identity Potential AD-related Semantic Triples for Drug Repurposing

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On Real-time Image Reconstruction with Neural Networks for MRI-guided Radiotherapy

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A Deep Learning Approach for Digital ColorReconstruction of Lenticular Films

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Motion Puzzle: Arbitrary Motion Style Transfer by Body Part

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Dynamic Background Subtraction by Generative Neural Networks

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Optimal Transport for Super Resolution Applied to Astronomy Imaging

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The MeLa BitChute Dataset

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Entroformer: A Transformer-based Entropy Model for Learned Image Compression

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Including Facial Expressions in Contextual Embeddings for Sign Language Generation

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Towards Adversarially Robust Deepfake Detection: An Ensemble Approach

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Vehicle and License Plate Recognition with Novel Dataset for Toll Collection

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CLIPasso: Semantically-Aware Object Sketching

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Face Beneath the Ink: Synthetic Data and Tattoo Removal with Application to Face Recognition

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Describing image focused in cognitive and visual details for visually impaired people: An approach to generating inclusive paragraphs

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Video-driven Neural Physically-based Facial Asset for Production

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Borrowing from yourself: Faster future video segmentation with partial channel update

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Uncalibrated Models Can Improve Human-AI Collaboration

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End-to-end Reinforcement Learning of Robotic Manipulation with Robust Keypoints Representation

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InfraredTags: Embedding Invisible AR Markers and Barcodes Using Low-Cost, Infrared-Based 3D Printing and Imaging Tools

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LTSP: Long-Term Slice Propagation for Accurate Airway Segmentation

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A Data Augmentation Method for Fully Automatic Brain Tumor Segmentation

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AI can evolve without labels: self-evolving vision transformer for chest X-ray diagnosis through knowledge distillation

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Perception-Aware Perching on Powerlines with Multirotors

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A State-of-the-art Survey of U-Net in Microscopic Image Analysis: from Simple Usage to Structure Mortification

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MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts

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I-Tuning: Tuning Language Models with Image for Caption Generation

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RSINet: Inpainting Remotely Sensed Images Using Triple GAN Framework

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Fun Selfie Filters in Face Recognition: Impact Assessment and Removal

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Text and Image Guided 3D Avatar Generation and Manipulation

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NeuVV: Neural Volumetric Videos with Immersive Rendering and Editing

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Lip movements information disentanglement for lip sync

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Robust Deepfake On Unrestricted Media: Generation And Detection

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FairStyle: Debiasing StyleGAN2 with Style Channel Manipulations

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Improve Deep Image Inpainting by Emphasizing the Complexity of Missing Regions

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BViT: Broad Attention based Vision Transformer

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Convolutional Neural Network with Convolutional Block Attention Module for Finger Vein Recognition

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How Do Vision Transformers Work?

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Multi-task UNet: Jointly Boosting Saliency Prediction and Disease Classification on Chest X-ray Images

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Compositional Scene Representation Learning via Reconstruction: A Survey

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To what extent can Plug-and-Play methods outperform neural networks alone in low-dose CT reconstruction

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A Real-time System for Detecting Landslide Reports on Social Media using Artificial Intelligence

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Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework

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GAN-generated Faces Detection: A Survey and New Perspectives

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Neural Architecture Search for Dense Prediction Tasks in Computer Vision

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CommerceMM: Large-Scale Commerce MultiModal Representation Learning with Omni Retrieval

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Review of the Fingerprint Liveness Detection (LivDet) competition series: from 2009 to 2021

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Hyper-relationship Learning Network for Scene Graph Generation

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ViNTER: Image Narrative Generation with Emotion-Arc-Aware Transformer

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HAA4D: Few-Shot Human Atomic Action Recognition via 3D Spatio-Temporal Skeletal Alignment

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On the Complementarity of Images and Text for the Expression of Emotions in Social Media

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Mathematical Cookbook for Snapshot Compressive Imaging

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A Survey on Image Deblurring

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DualConv: Dual Convolutional Kernels for Lightweight Deep Neural Networks

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Fairness Indicators for Systematic Assessments of Visual Feature Extractors

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A Survey of Semen Quality Evaluation in Microscopic Videos Using Computer Assisted Sperm Analysis

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Segmentation and Risk Score Prediction of Head and Neck Cancers in PET/CT Volumes with 3D U-Net and Cox Proportional Hazard Neural Networks

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Meta Knowledge Distillation

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Diagnosing Batch Normalization in Class Incremental Learning

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Misinformation Detection in Social Media Video Posts

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Enhancing Deformable Convolution based Video Frame Interpolation with Coarse-to-fine 3D CNN

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Not All Patches are What You Need: Expediting Vision Transformers via Token Reorganizations

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Applying adversarial networks to increase the data efficiency and reliability of Self-Driving Cars

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RNGDet: Road Network Graph Detection by Transformer in Aerial Images

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Reducing Overconfidence Predictions for Autonomous Driving Perception

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ActionFormer: Localizing Moments of Actions with Transformers

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360 Depth Estimation in the Wild -- The Depth360 Dataset and the SegFuse Network

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Typography-MNIST (TMNIST): an MNIST-Style Image Dataset to Categorize Glyphs and Font-Styles

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Less is More: Surgical Phase Recognition from Timestamp Supervision

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Feels Bad Man: Dissecting Automated Hateful Meme Detection Through the Lens of Facebook's Challenge

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A hybrid 2-stage vision transformer for AI-assisted 5 class pathologic diagnosis of gastric endoscopic biopsies

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End-to-end Neuron Instance Segmentation based on Weakly Supervised Efficient UNet and Morphological Post-processing

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General Cyclical Training of Neural Networks

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Anomalib: A Deep Learning Library for Anomaly Detection

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Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision

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Neural Marionette: Unsupervised Learning of Motion Skeleton and Latent Dynamics from Volumetric Video

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V2X-Sim: A Virtual Collaborative Perception Dataset for Autonomous Driving

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Two-Stage Architectural Fine-Tuning with Neural Architecture Search using Early-Stopping in Image Classification

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Detecting and Learning the Unknown in Semantic Segmentation

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OmniSyn: Synthesizing 360 Videos with Wide-baseline Panoramas

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Enhancing ASR for Stuttered Speech with Limited Data Using Detect and Pass

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Neural Architecture Search for Energy Efficient Always-on Audio Models

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The xmuspeech system for multi-channel multi-party meeting transcription challenge

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A Sonification of the zCOSMOS Galaxy Dataset

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Audio-Based Deep Learning Frameworks for Detecting COVID-19

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Audio Defect Detection in Music with Deep Networks

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USTED: Improving ASR with a Unified Speech and Text Encoder-Decoder

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Partially Fake Audio Detection by Self-attention-based Fake Span Discovery

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Wav2Vec2.0 on the Edge: Performance Evaluation

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Deep Performer: Score-to-Audio Music Performance Synthesis

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textless-lib: a Library for Textless Spoken Language Processing

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SpaIn-Net: Spatially-Informed Stereophonic Music Source Separation

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Learning Contextually Fused Audio-visual Representations for Audio-visual Speech Recognition

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SpeechPainter: Text-conditioned Speech Inpainting

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Phase Vocoder Done Right

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ProsoSpeech: Enhancing Prosody With Quantized Vector Pre-training in Text-to-Speech

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Knowledge Transfer from Large-scale Pretrained Language Models to End-to-end Speech Recognizers

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TalkTive: A Conversational Agent Using Backchannels to Engage Older Adults in Neurocognitive Disorders Screening

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Conversational Speech Recognition By Learning Conversation-level Characteristics

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Singing-Tacotron: Global duration control attention and dynamic filter for End-to-end singing voice synthesis

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On loss functions and evaluation metrics for music source separation

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MLP-ASR: Sequence-length agnostic all-MLP architectures for speech recognition

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Mitigating Closed-model Adversarial Examples with Bayesian Neural Modeling for Enhanced End-to-End Speech Recognition

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A Two-stage U-Net for high-fidelity denoising of historical recordings

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Multi-Channel Speech Denoising for Machine Ears

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Chord-Conditioned Melody Choralization with Controllable Harmonicity and Polyphonicity

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ADD 2022: the First Audio Deep Synthesis Detection Challenge

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Machine Learning for Stock Prediction Based on Fundamental Analysis

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The Evolution of Blockchain: from Lit to Dark

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Super-replication prices with multiple-priors in discrete time

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Two is better than one: Regularized shrinkage of large minimum variance portfolio

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Forecasting Stock Options Prices via the Solution of an Ill-Posed Problem for the Black-Scholes Equation

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Media Slant is Contagious

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Stablecoins and Central Bank Digital Currencies: Policy and Regulatory Challenges

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The Evolution of U.S. Retail Concentation

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A note on hospital financing: local financing vs. central financing

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A Short Survey on Business Models of Decentralized Finance (DeFi) Protocols

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Optimal market completion through financial derivatives with applications to volatility risk

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