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?!

The fine line between dead neurons and sparsity in binarized spiking neural networks

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A Secure and Efficient Federated Learning Framework for NLP

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A Robust and Flexible EM Algorithm for Mixtures of Elliptical Distributions with Missing Data

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Leveraging deep learning for fully automated NMR protein structure determination

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Generative GaitNet

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Overcoming Exploration: Deep Reinforcement Learning in Complex Environments from Temporal Logic Specifications

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Exploration With a Finite Brain

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The CARE Dataset for Affective Response Detection

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Time-Series Anomaly Detection with Implicit Neural Representation

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Learning to Simulate Unseen Physical Systems with Graph Neural Networks

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Using Constant Learning Rate of Two Time-Scale Update Rule for Training Generative Adversarial Networks

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Provably Improving Expert Predictions with Conformal Prediction

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The FreshPRINCE: A Simple Transformation Based Pipeline Time Series Classifier

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Automated Feature Extraction on AsMap for Emotion Classification using EEG

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Learning Summary Statistics for Bayesian Inference with Autoencoders

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Interplay between depth of neural networks and locality of target functions

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On feedforward control using physics-guided neural networks: Training cost regularization and optimized initialization

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Mask-based Latent Reconstruction for Reinforcement Learning

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HEAT: Hyperedge Attention Networks

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Learning Curves for Decision Making in Supervised Machine Learning -- A Survey

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Adversarial Concept Erasure in Kernel Space

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From data to functa: Your data point is a function and you should treat it like one

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The Price of Majority Support

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Toward Training at ImageNet Scale with Differential Privacy

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FastFlows: Flow-Based Models for Molecular Graph Generation

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Electra: Conditional Generative Model based Predicate-Aware Query Approximation

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Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval

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Retroformer: Pushing the Limits of Interpretable End-to-end Retrosynthesis Transformer

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ApolloRL: a Reinforcement Learning Platform for Autonomous Driving

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A Deep CNN Architecture with Novel Pooling Layer Applied to Two Sudanese Arabic Sentiment Datasets

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ClassSPLOM -- A Scatterplot Matrix to Visualize Separation of Multiclass Multidimensional Data

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OpTopNET: A Learning Optimal Topology Synthesizer for Ad-hoc Robot Networks

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Steady-State Error Compensation in Reference Tracking and Disturbance Rejection Problems for Reinforcement Learning-Based Control

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Deep Learning Macroeconomics

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Warmth and competence in human-agent cooperation

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Adversarial Robustness in Deep Learning: Attacks on Fragile Neurons

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Detecting Electric Vehicle Battery Failure via Dynamic-VAE

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Explaining Graph-level Predictions with Communication Structure-Aware Cooperative Games

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Bounding Training Data Reconstruction in Private (Deep) Learning

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FedGCN: Convergence and Communication Tradeoffs in Federated Training of Graph Convolutional Networks

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Extracting Finite Automata from RNNs Using State Merging

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ScaLA: Accelerating Adaptation of Pre-Trained Transformer-Based Language Models via Efficient Large-Batch Adversarial Noise

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Collaborative Learning in General Graphs with Limited Memorization: Learnability, Complexity and Reliability

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Decepticons: Corrupted Transformers Breach Privacy in Federated Learning for Language Models

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FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting

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Training Thinner and Deeper Neural Networks: Jumpstart Regularization

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PLATINUM: Semi-Supervised Model Agnostic Meta-Learning using Submodular Mutual Information

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Race Driver Evaluation at a Driving Simulator using a physical Model and a Machine Learning Approach

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Predicting Cancer Treatments Induced Cardiotoxicity of Breast Cancer Patients

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Compactness Score: A Fast Filter Method for Unsupervised Feature Selection

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Trajectory Balance: Improved Credit Assignment in GFlowNets

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Micro-level Reserving for General Insurance Claims using a Long Short-Term Memory Network

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Guided Semi-Supervised Non-negative Matrix Factorization on Legal Documents

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LinSyn: Synthesizing Tight Linear Bounds for Arbitrary Neural Network Activation Functions

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Vibration Fault Diagnosis in Wind Turbines based on Automated Feature Learning

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Extreme precipitation forecasting using attention augmented convolutions

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Handling Bias in Toxic Speech Detection: A Survey

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Deep Reference Priors: What is the best way to pretrain a model?

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Phase diagram of Stochastic Gradient Descent in high-dimensional two-layer neural networks

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Natural Language to Code Using Transformers

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Deepfake pornography as a male gaze on fan culture

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From Examples to Rules: Neural Guided Rule Synthesis for Information Extraction

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Detection of Increased Time Intervals of Anti-Vaccine Tweets for COVID-19 Vaccine with BERT Model

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Machine Intelligence-Driven Classification of Cancer Patients-Derived Extracellular Vesicles using Fluorescence Correlation Spectroscopy: Results from a Pilot Study

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Examining Scaling and Transfer of Language Model Architectures for Machine Translation

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Stochastic 2D Signal Generative Model with Wavelet Packets Basis Regarded as a Random Variable and Bayes Optimal Processing

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A General, Evolution-Inspired Reward Function for Social Robotics

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Identifying Interpretable Clinical Subtypes withinHeterogeneous Dementia Clinic Population

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Understanding AdamW through Proximal Methods and Scale-Freeness

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Federated Active Learning (F-AL): an Efficient Annotation Strategy for Federated Learning

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Exploring layerwise decision making in DNNs

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Firm-based relatedness using machine learning

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MotifExplainer: a Motif-based Graph Neural Network Explainer

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A Semi-Supervised Deep Clustering Pipeline for Mining Intentions From Texts

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Methodology for forecasting and optimization in IEEE-CIS 3rd Technical Challenge

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Detecting Privacy Requirements from User Stories with NLP Transfer Learning Models

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Federated Reinforcement Learning for Collective Navigation of Robotic Swarms

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Pop Quiz! Can a Large Language Model Help With Reverse Engineering?

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Error Correction in ASR using Sequence-to-Sequence Models

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Mitigating cold start problems in drug-target affinity prediction with interaction knowledge transferring

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LocUNet: Fast Urban Positioning Using Radio Maps and Deep Learning

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Automatic event detection in football using tracking data

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Robust Training of Neural Networks using Scale Invariant Architectures

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NeuRegenerate: A Framework for Visualizing Neurodegeneration

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Structure-preserving GANs

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Transfer in Reinforcement Learning via Regret Bounds for Learning Agents

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A Flexible Clustering Pipeline for Mining Text Intentions

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mSLAM: Massively multilingual joint pre-training for speech and text

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Machine Learning Solar Wind Driving Magnetospheric Convection in Tail Lobes

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Deep Learning Algorithm for Threat Detection in Hackers Forum (Deep Web)

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Unified theory of atom-centered representations and graph convolutional machine-learning schemes

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How to build a cognitive map: insights from models of the hippocampal formation

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Towards Coherent and Consistent Use of Entities in Narrative Generation

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Systems Biology: Identifiability analysis and parameter identification via systems-biology informed neural networks

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RipsNet: a general architecture for fast and robust estimation of the persistent homology of point clouds

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Speaker Normalization for Self-supervised Speech Emotion Recognition

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Robust Estimation for Nonparametric Families via Generative Adversarial Networks

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PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts

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Fenrir: Physics-Enhanced Regression for Initial Value Problems

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Deep Learning for Epidemiologists: An Introduction to Neural Networks

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Can Transformers be Strong Treatment Effect Estimators?

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Learning Mechanically Driven Emergent Behavior with Message Passing Neural Networks

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ETSformer: Exponential Smoothing Transformers for Time-series Forecasting

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Learning with Asymmetric Kernels: Least Squares and Feature Interpretation

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GALAXY: Graph-based Active Learning at the Extreme

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Influence-Augmented Local Simulators: A Scalable Solution for Fast Deep RL in Large Networked Systems

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Learning strides in convolutional neural networks

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Review of automated time series forecasting pipelines

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Learning Physics through Images: An Application to Wind-Driven Spatial Patterns

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Empirical Estimates on Hand Manipulation are Recoverable: A Step Towards Individualized and Explainable Robotic Support in Everyday Activities

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Clinical-Longformer and Clinical-BigBird: Transformers for long clinical sequences

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Wassersplines for Stylized Neural Animation

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Can Wikipedia Help Offline Reinforcement Learning?

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Bioinspired Cortex-based Fast Codebook Generation

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Summarizing Differences between Text Distributions with Natural Language

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A Knowledge-Based Decision Support System for In Vitro Fertilization Treatment

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Adversarial Examples for Good: Adversarial Examples Guided Imbalanced Learning

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A Unified Approach to Entity-Centric Context Tracking in Social Conversations

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Do You Need the Entropy Reward (in Practice)?

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Flashlight: Enabling Innovation in Tools for Machine Learning

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AntBO: Towards Real-World Automated Antibody Design with Combinatorial Bayesian Optimisation

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DeepRNG: Towards Deep Reinforcement Learning-Assisted Generative Testing of Software

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Learning to Coordinate with Humans using Action Features

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AutoSNN: Towards Energy-Efficient Spiking Neural Networks

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N-HiTS: Neural Hierarchical Interpolation for Time Series Forecasting

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GSN: A Universal Graph Neural Network Inspired by Spring Network

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Corpus for Automatic Structuring of Legal Documents

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Evaluating a Methodology for Increasing AI Transparency: A Case Study

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EXSeQETIC: Expert System to Support the Implementation of eQETIC Model

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Directed Weight Neural Networks for Protein Structure Representation Learning

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Masked Transformer for Neighhourhood-aware Click-Through Rate Prediction

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Efficiently Maintaining Next Basket Recommendations under Additions and Deletions of Baskets and Items

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Don't Change the Algorithm, Change the Data: Exploratory Data for Offline Reinforcement Learning

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Augmented Business Process Management Systems: A Research Manifesto

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CoTV: Cooperative Control for Traffic Light Signals and Connected Autonomous Vehicles using Deep Reinforcement Learning

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MEGA: Model Stealing via Collaborative Generator-Substitute Networks

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Submodularity In Machine Learning and Artificial Intelligence

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Fortuitous Forgetting in Connectionist Networks

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CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery

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The Text Anonymization Benchmark (TAB): A Dedicated Corpus and Evaluation Framework for Text Anonymization

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TableQuery: Querying tabular data with natural language

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Auto-ABSA: Automatic Detection of Aspects in Aspect-Based Sentiment Analysis

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Blind ECG Restoration by Operational Cycle-GANs

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Tutorial on amortized optimization for learning to optimize over continuous domains

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Scalable Fragment-Based 3D Molecular Design with Reinforcement Learning

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Explainable AI through the Learning of Arguments

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Planner-Reasoner Inside a Multi-task Reasoning Agent

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ColloSSL: Collaborative Self-Supervised Learning for Human Activity Recognition

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Disaster Tweets Classification using BERT-Based Language Model

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Context Uncertainty in Contextual Bandits with Applications to Recommender Systems

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Algorithms for Efficiently Learning Low-Rank Neural Networks

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A Longitudinal Dataset of Twitter ISIS Users

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Automated Detection of Doxing on Twitter

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Using Deep Learning to Bootstrap Abstractions for Hierarchical Robot Planning

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Fairness of Machine Learning Algorithms in Demography

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AlphaDesign: A graph protein design method and benchmark on AlphaFoldDB

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Knowledge Engineering in the Long Game of Artificial Intelligence: The Case of Speech Acts

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Accelerated Quality-Diversity for Robotics through Massive Parallelism

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An Experience Report of Executive-Level Artificial Intelligence Education in the United Arab Emirates

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A Comparison of Online Hate on Reddit and 4chan: A Case Study of the 2020 US Election

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Formal Mathematics Statement Curriculum Learning

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Technology Ethics in Action: Critical and Interdisciplinary Perspectives

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JaQuAD: Japanese Question Answering Dataset for Machine Reading Comprehension

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Computer sciences and synthesis: retrospective and perspective

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Introduction to The Dynamic Pickup and Delivery Problem Benchmark -- ICAPS 2021 Competition

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AI-as-a-Service Toolkit for Human-Centered Intelligence in Autonomous Driving

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Direct Molecular Conformation Generation

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Neural JPEG: End-to-End Image Compression Leveraging a Standard JPEG Encoder-Decoder

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A Transfer Learning and Optimized CNN Based Intrusion Detection System for Internet of Vehicles

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Deep Networks for Image and Video Super-Resolution

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DELAUNAY: a dataset of abstract art for psychophysical and machine learning research

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Benchmarking Robustness of 3D Point Cloud Recognition Against Common Corruptions

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A Review on Deep-Learning Algorithms for Fetal Ultrasound-Image Analysis

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A Survey on Visual Transfer Learning using Knowledge Graphs

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Infrastructure-Based Object Detection and Tracking for Cooperative Driving Automation: A Survey

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Indicative Image Retrieval: Turning Blackbox Learning into Grey

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Generalized Visual Quality Assessment of GAN-Generated Face Images

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Detection of fake faces in videos

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You Only Cut Once: Boosting Data Augmentation with a Single Cut

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DynaMixer: A Vision MLP Architecture with Dynamic Mixing

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BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation

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O-ViT: Orthogonal Vision Transformer

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VRT: A Video Restoration Transformer

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Deep Learning Methods for Abstract Visual Reasoning: A Survey on Raven's Progressive Matrices

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DoubleU-Net++: Architecture with Exploit Multiscale Features for Vertebrae Segmentation

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Syfer: Neural Obfuscation for Private Data Release

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A Novel Matrix-Encoding Method for Privacy-Preserving Neural Networks (Inference)

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FedMed-ATL: Misaligned Unpaired Brain Image Synthesis via Affine Transform Loss

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Deep Contrastive Learning is Provably (almost) Principal Component Analysis

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Practical Noise Simulation for RGB Images

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Psychophysical Evaluation of Human Performance in Detecting Digital Face Image Manipulations

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Neighborhood-aware Geometric Encoding Network for Point Cloud Registration

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O-ViT: Orthogonal Vision Transformer

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HSADML: Hyper-Sphere Angular Deep Metric based Learning for Brain Tumor Classification

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VRT: A Video Restoration Transformer

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DoubleU-Net++: Architecture with Exploit Multiscale Features for Vertebrae Segmentation

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Deep Contrastive Learning is Provably (almost) Principal Component Analysis

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Practical Noise Simulation for RGB Images

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TransBTSV2: Wider Instead of Deeper Transformer for Medical Image Segmentation

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Developing a Machine-Learning Algorithm to Diagnose Age-Related Macular Degeneration

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Reconstruction of Power Lines from Point Clouds

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2D+3D facial expression recognition via embedded tensor manifold regularization

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Hand Gesture Recognition of Dumb Person Using one Against All Neural Network

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Transfer Learning for Estimation of Pendubot Angular Position Using Deep Neural Networks

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Extracting Built Environment Features for Planning Research with Computer Vision: A Review and Discussion of State-of-the-Art Approaches

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Automatic Segmentation of Left Ventricle in Cardiac Magnetic Resonance Images

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Optimizing Gradient-driven Criteria in Network Sparsity: Gradient is All You Need

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A Dataset for Medical Instructional Video Classification and Question Answering

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Filtering In Implicit Neural Networks

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NeuralTailor: Reconstructing Sewing Pattern Structures from 3D Point Clouds of Garments

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Third Time's the Charm? Image and Video Editing with StyleGAN3

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MHSnet: Multi-head and Spatial Attention Network with False-Positive Reduction for Pulmonary Nodules Detection

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DexVIP: Learning Dexterous Grasping with Human Hand Pose Priors from Video

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ATEK: Augmenting Transformers with Expert Knowledge for Indoor Layout Synthesis

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Disentangling multiple scattering with deep learning: application to strain mapping from electron diffraction patterns

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ISNet: Costless and Implicit Image Segmentation for Deep Classifiers, with Application in COVID-19 Detection

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StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets

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A generalizable approach based on U-Net model for automatic Intra retinal cyst segmentation in SD-OCT images

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Development of a neural network to recognize standards and features from 3D CAD models

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Datamodels: Predicting Predictions from Training Data

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AI-based Medical e-Diagnosis for Fast and Automatic Ventricular Volume Measurement in the Patients with Normal Pressure Hydrocephalus

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Finding Directions in GAN's Latent Space for Neural Face Reenactment

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Real-Time Facial Expression Recognition using Facial Landmarks and Neural Networks

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CLA-NeRF: Category-Level Articulated Neural Radiance Field

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From Explanations to Segmentation: Using Explainable AI for Image Segmentation

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Sim2Real Object-Centric Keypoint Detection and Description

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Reducing the Amount of Real World Data for Object Detector Training with Synthetic Data

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Stay Positive: Non-Negative Image Synthesis for Augmented Reality

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A deep residual learning implementation of Metamorphosis

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Classification of Skin Cancer Images using Convolutional Neural Networks

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GANSlider: How Users Control Generative Models for Images using Multiple Sliders with and without Feedforward Information

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DCSAU-Net: A Deeper and More Compact Split-Attention U-Net for Medical Image Segmentation

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Unpaired Image Super-Resolution with Optimal Transport Maps

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AntidoteRT: Run-time Detection and Correction of Poison Attacks on Neural Networks

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VOS: Learning What You Don't Know by Virtual Outlier Synthesis

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Should I take a walk? Estimating Energy Expenditure from Video Data

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ADG-Pose: Automated Dataset Generation for Real-World Human Pose Estimation

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Local Feature Matching with Transformers for low-end devices

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Automotive Parts Assessment: Applying Real-time Instance-Segmentation Models to Identify Vehicle Parts

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CSFlow: Learning Optical Flow via Cross Strip Correlation for Autonomous Driving

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MMSys'22 Grand Challenge on AI-based Video Production for Soccer

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Deep Learning for Ultrasound Speed-of-Sound Reconstruction: Impacts of Training Data Diversity on Stability and Robustness

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Fast Online Video Super-Resolution with Deformable Attention Pyramid

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PanoDepth: A Two-Stage Approach for Monocular Omnidirectional Depth Estimation

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Exploring Sub-skeleton Trajectories for Interpretable Recognition of Sign Language

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Skeleton-Based Action Segmentation with Multi-Stage Spatial-Temporal Graph Convolutional Neural Networks

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The Met Dataset: Instance-level Recognition for Artworks

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Sentiment-Aware Automatic Speech Recognition pre-training for enhanced Speech Emotion Recognition

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Neural-FST Class Language Model for End-to-End Speech Recognition

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DiffGAN-TTS: High-Fidelity and Efficient Text-to-Speech with Denoising Diffusion GANs

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Dual Learning Music Composition and Dance Choreography

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Progressive Continual Learning for Spoken Keyword Spotting

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PostGAN: A GAN-Based Post-Processor to Enhance the Quality of Coded Speech

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partitura: A Python Package for Handling Symbolic Musical Data

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BEA-Base: A Benchmark for ASR of Spontaneous Hungarian

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The impact of removing head movements on audio-visual speech enhancement

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Visualizing Automatic Speech Recognition -- Means for a Better Understanding?

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TONet: Tone-Octave Network for Singing Melody Extraction from Polyphonic Music

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RescoreBERT: Discriminative Speech Recognition Rescoring with BERT

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HTS-AT: A Hierarchical Token-Semantic Audio Transformer for Sound Classification and Detection

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Melody Extraction from Polyphonic Music by Deep Learning Approaches: A Review

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ASR-Aware End-to-end Neural Diarization

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Joint Speech Recognition and Audio Captioning

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Real-time Emergency Vehicle Event Detection Using Audio Data

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The RoyalFlush System of Speech Recognition for M2MeT Challenge

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A Stock Trading System for a Medium Volatile Asset using Multi Layer Perceptron

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Simulating Using Deep Learning The World Trade Forecasting of Export-Import Exchange Rate Convergence Factor During COVID-19

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The China Trade Shock and the ESG Performances of US firms

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Cryptocurrency Valuation: An Explainable AI Approach

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MicroVelocity: rethinking the Velocity of Money for digital currencies

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Impact of Gold Prices on Stock Exchange: An Empirical Case Study of Nepal

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Bankruptcy Shocks and Legal Labor Markets: Evidence from the Court Competition Era

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Mapping intra firm trade in the automotive sector: a network approach

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FiNCAT: Financial Numeral Claim Analysis Tool

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CTMSTOU driven markets: simulated environment for regime-awareness in trading policies

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Do new investment strategies take existing strategies' returns -- An investigation into agent-based models

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Are EU Climate and Energy Package 20-20-20 targets achievable and compatible? Evidence from the impact of renewables on electricity prices

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