Machine Learning

Papers filed under cs.LG on arXiv, each one already summarized by Paperlayer. Open any of them to read the summary beside the original PDF, with every point linked to the line, figure, or table it came from.

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8,701 to 8,760 of 20,193

EmergencyNet: Efficient Aerial Image Classification for Drone-Based Emergency Monitoring Using Atrous Convolutional Feature Fusion
Christos Kyrkou, Theocharis Theocharides
cs.CVcs.LGcs.ROarXiv:2104.14006v12021
Hidden Progress in Deep Learning: SGD Learns Parities Near the Computational Limit
Boaz Barak, Benjamin L. Edelman, Surbhi Goel +3
cs.LGcs.NEmath.OCarXiv:2207.08799v32022
LiveBench: A Challenging, Contamination-Limited LLM Benchmark
Colin White, Samuel Dooley, Manley Roberts +15
cs.CLcs.AIcs.LGarXiv:2406.19314v22024
Universal Sound Separation
Ilya Kavalerov, Scott Wisdom, Hakan Erdogan +4
cs.SDcs.LGeess.ASarXiv:1905.03330v22019
Improved SVRG for Non-Strongly-Convex or Sum-of-Non-Convex Objectives
Zeyuan Allen-Zhu, Yang Yuan
cs.LGcs.DSmath.OCarXiv:1506.01972v32015
Deep Geometric Functional Maps: Robust Feature Learning for Shape Correspondence
Nicolas Donati, Abhishek Sharma, Maks Ovsjanikov
stat.MLcs.LGarXiv:2003.14286v12020
Unpaired Motion Style Transfer from Video to Animation
Kfir Aberman, Yijia Weng, Dani Lischinski +2
cs.GRcs.CVcs.LGarXiv:2005.05751v12020
Selective Amnesia: A Continual Learning Approach to Forgetting in Deep Generative Models
Alvin Heng, Harold Soh
cs.LGcs.AIarXiv:2305.10120v22023
Adaptive Factorization Network: Learning Adaptive-Order Feature Interactions
Weiyu Cheng, Yanyan Shen, Linpeng Huang
cs.LGcs.AIcs.IRarXiv:1909.03276v22019
Faster Rates for the Frank-Wolfe Method over Strongly-Convex Sets
Dan Garber, Elad Hazan
math.OCcs.LGarXiv:1406.1305v22014
DynG-Diff: A State-Aware Dynamic Guidance Diffusion Framework for Probabilistic Time Series Forecasting
Zhente Zhang, Zhengwei Ni, Wei Fan
cs.LGarXiv:2609.02068v12026
Temporal Graph Benchmark for Machine Learning on Temporal Graphs
Shenyang Huang, Farimah Poursafaei, Jacob Danovitch +7
cs.LGcs.AIarXiv:2307.01026v22023
LIFT: Language-Interfaced Fine-Tuning for Non-Language Machine Learning Tasks
Tuan Dinh, Yuchen Zeng, Ruisu Zhang +6
cs.LGcs.CLarXiv:2206.06565v42022
DAiSEE: Towards User Engagement Recognition in the Wild
Abhay Gupta, Arjun D'Cunha, Kamal Awasthi +1
cs.CVcs.LGarXiv:1609.01885v72016
MART: Memory-Augmented Recurrent Transformer for Coherent Video Paragraph Captioning
Jie Lei, Liwei Wang, Yelong Shen +3
cs.CLcs.CVcs.LGarXiv:2005.05402v12020
Distributionally Robust Language Modeling
Yonatan Oren, Shiori Sagawa, Tatsunori B. Hashimoto +1
cs.CLcs.LGstat.MLarXiv:1909.02060v12019
SenseFi: A Library and Benchmark on Deep-Learning-Empowered WiFi Human Sensing
Jianfei Yang, Xinyan Chen, Dazhuo Wang +4
cs.LGcs.AIeess.SParXiv:2207.07859v32022
Robust Audio Adversarial Example for a Physical Attack
Hiromu Yakura, Jun Sakuma
cs.LGcs.CRcs.SDarXiv:1810.11793v42018
Nested Graph Neural Networks
Muhan Zhang, Pan Li
cs.LGarXiv:2110.13197v12021
Near-Optimal Bayesian Active Learning with Noisy Observations
Daniel Golovin, Andreas Krause, Debajyoti Ray
cs.LGcs.AIcs.DSarXiv:1010.3091v22010
WavTokenizer: an Efficient Acoustic Discrete Codec Tokenizer for Audio Language Modeling
Shengpeng Ji, Ziyue Jiang, Wen Wang +14
eess.AScs.LGcs.MMarXiv:2408.16532v32024
AutoDAN-Turbo: A Lifelong Agent for Strategy Self-Exploration to Jailbreak LLMs
Xiaogeng Liu, Peiran Li, Edward Suh +7
cs.CRcs.AIcs.LGarXiv:2410.05295v42024
Latent Space Policies for Hierarchical Reinforcement Learning
Tuomas Haarnoja, Kristian Hartikainen, Pieter Abbeel +1
cs.LGcs.AIstat.MLarXiv:1804.02808v22018
FlashKAN: B-Spline KANs via Truncated Power Form
Naveen Mysore
cs.LGmath.NAarXiv:2609.01956v12026
Towards a Unified Framework for Fair and Stable Graph Representation Learning
Chirag Agarwal, Himabindu Lakkaraju, Marinka Zitnik
cs.LGarXiv:2102.13186v32021
HNHN: Hypergraph Networks with Hyperedge Neurons
Yihe Dong, Will Sawin, Yoshua Bengio
cs.LGstat.MLarXiv:2006.12278v12020
Artificial Intelligence-Based Methods for Fusion of Electronic Health Records and Imaging Data
Farida Mohsen, Hazrat Ali, Nady El Hajj +1
cs.LGcs.AIcs.CVarXiv:2210.13462v12022
Disease Burden over Skin Tone: Decomposing the Dermatology-AI Generalization Gap
Nirajan Kunwor, Sanjaya Poudel, Quoc-Huy Trinh +2
cs.CVcs.AIcs.LGarXiv:2609.02111v12026
Graph-Based Spatial-Temporal Convolutional Network for Vehicle Trajectory Prediction in Autonomous Driving
Zihao Sheng, Yunwen Xu, Shibei Xue +1
cs.LGcs.AIcs.ROarXiv:2109.12764v12021
oHC: Orthogonal Hyper-Connections on SO(4) via Quaternions
Haoqiang Guo, Xuyi Chen, Bo Ke +5
cs.CLcs.LGarXiv:2609.02672v12026
AGI Maze Prediction Datasets: A Compact Benchmark for Learning World Dynamics with Transformers
Alexey Potapov
cs.LGcs.AIarXiv:2609.02339v12026
Learning Thermodynamics with Boltzmann Machines
Giacomo Torlai, Roger G. Melko
cond-mat.stat-mechcond-mat.dis-nncs.LGarXiv:1606.02718v12016
Generative Adversarial Networks recover features in astrophysical images of galaxies beyond the deconvolution limit
Kevin Schawinski, Ce Zhang, Hantian Zhang +2
astro-ph.IMastro-ph.GAcs.LGarXiv:1702.00403v12017
An Overview on Data Representation Learning: From Traditional Feature Learning to Recent Deep Learning
Guoqiang Zhong, Li-Na Wang, Junyu Dong
cs.LGstat.MLarXiv:1611.08331v12016
Loom: Weaving Diagnostic Strands into Free-Text Consensus via Embedding-Space Reweighting
Ron Begleiter, Katya Egert Berg, Gilad Saban +1
cs.AIcs.CLcs.LGarXiv:2609.02649v12026
Improving Evaluation Realism with Inference-Time Compute and Deployment Scaffolds
Axel Ahlqvist, Richard Guan, Juan-Pablo Rivera +6
cs.AIcs.CLcs.LGarXiv:2609.02302v12026
Agent Q: Advanced Reasoning and Learning for Autonomous AI Agents
Pranav Putta, Edmund Mills, Naman Garg +4
cs.AIcs.LGarXiv:2408.07199v12024
Deep Representation Learning of Electronic Health Records to Unlock Patient Stratification at Scale
Isotta Landi, Benjamin S. Glicksberg, Hao-Chih Lee +6
q-bio.QMcs.LGstat.MLarXiv:2003.06516v22020
Local contrastive loss with pseudo-label based self-training for semi-supervised medical image segmentation
Krishna Chaitanya, Ertunc Erdil, Neerav Karani +1
cs.CVcs.AIcs.LGarXiv:2112.09645v12021
Residual-based attention in physics-informed neural networks
Sokratis J. Anagnostopoulos, Juan Diego Toscano, Nikolaos Stergiopulos +1
cs.LGphysics.comp-pharXiv:2307.00379v22023
Wild Patterns Reloaded: A Survey of Machine Learning Security against Training Data Poisoning
Antonio Emanuele Cinà, Kathrin Grosse, Ambra Demontis +7
cs.LGcs.AIcs.CRarXiv:2205.01992v32022
Accelerating high-throughput virtual screening through molecular pool-based active learning
David E. Graff, Eugene I. Shakhnovich, Connor W. Coley
q-bio.QMcs.LGarXiv:2012.07127v12020
Count-Based Exploration with the Successor Representation
Marlos C. Machado, Marc G. Bellemare, Michael Bowling
cs.LGcs.AIstat.MLarXiv:1807.11622v42018
WeaveMark: Robust and Scalable Multi-bit LLM Watermarking via Coded Payload Spreading
Gang-Hyun Park, Ju-Hyeong Lee, Hee-Youl Kwak +1
cs.CRcs.LGarXiv:2609.02177v12026
Understanding the Failure Modes of Out-of-Distribution Generalization
Vaishnavh Nagarajan, Anders Andreassen, Behnam Neyshabur
cs.LGcs.CVstat.MLarXiv:2010.15775v32020
Random Features for Kernel Approximation: A Survey on Algorithms, Theory, and Beyond
Fanghui Liu, Xiaolin Huang, Yudong Chen +1
stat.MLcs.LGarXiv:2004.11154v52020
Meta-Transformer: A Unified Framework for Multimodal Learning
Yiyuan Zhang, Kaixiong Gong, Kaipeng Zhang +4
cs.CVcs.AIcs.CLarXiv:2307.10802v12023
Advancing LLM Reasoning Generalists with Preference Trees
Lifan Yuan, Ganqu Cui, Hanbin Wang +12
cs.AIcs.CLcs.LGarXiv:2404.02078v12024
Unsupervised Question Decomposition for Question Answering
Ethan Perez, Patrick Lewis, Wen-tau Yih +2
cs.CLcs.AIcs.LGarXiv:2002.09758v32020
SPADE: SPaT Attack Detection from the Connected Vehicle's Perspective
James Di Novo, Hany Ragab, Sylvain P. Leblanc
cs.CRcs.LGarXiv:2609.02741v12026
Integrating Document Clustering and Topic Modeling
Pengtao Xie, Eric P. Xing
cs.LGcs.CLcs.IRarXiv:1309.6874v12013
Learning Convolutional Transforms for Lossy Point Cloud Geometry Compression
Maurice Quach, Giuseppe Valenzise, Frederic Dufaux
cs.CVcs.LGeess.IVarXiv:1903.08548v22019
Network-Aware Forecasting on Wireless Access Points
Niloo Bahadori, Swadhin Pradhan, Peiman Amini
cs.NIcs.LGarXiv:2609.01957v12026
Is it Time to Replace CNNs with Transformers for Medical Images?
Christos Matsoukas, Johan Fredin Haslum, Magnus Söderberg +1
cs.CVcs.LGarXiv:2108.09038v12021
Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection
Yu Zheng, Ming Jin, Yixin Liu +3
cs.LGarXiv:2108.09896v22021
Differentiable Electricity-Market Clearing for Gradient-Based Planning
Luca Mungo, Maarten P. Scholl, Arnau Quera-Bofarull
cs.LGcs.CYarXiv:2609.02646v12026
OpenXAI: Towards a Transparent Evaluation of Model Explanations
Chirag Agarwal, Dan Ley, Satyapriya Krishna +6
cs.LGcs.AIarXiv:2206.11104v52022
How To Grade a Test Without Knowing the Answers --- A Bayesian Graphical Model for Adaptive Crowdsourcing and Aptitude Testing
Yoram Bachrach, Thore Graepel, Tom Minka +1
cs.LGcs.AIstat.MLarXiv:1206.6386v12012
Adaptive Trust Region Policy Optimization: Global Convergence and Faster Rates for Regularized MDPs
Lior Shani, Yonathan Efroni, Shie Mannor
cs.LGmath.OCstat.MLarXiv:1909.02769v22019
AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction
Bin Liu, Chenxu Zhu, Guilin Li +6
cs.LGcs.IRstat.MLarXiv:2003.11235v32020

Machine Learning

EmergencyNet: Efficient Aerial Image Classification for Drone-Based Emergency Monitoring Using Atrous Convolutional Feature Fusion

Hidden Progress in Deep Learning: SGD Learns Parities Near the Computational Limit

LiveBench: A Challenging, Contamination-Limited LLM Benchmark

Universal Sound Separation

Improved SVRG for Non-Strongly-Convex or Sum-of-Non-Convex Objectives

Deep Geometric Functional Maps: Robust Feature Learning for Shape Correspondence

Unpaired Motion Style Transfer from Video to Animation

Selective Amnesia: A Continual Learning Approach to Forgetting in Deep Generative Models

Adaptive Factorization Network: Learning Adaptive-Order Feature Interactions

Faster Rates for the Frank-Wolfe Method over Strongly-Convex Sets

DynG-Diff: A State-Aware Dynamic Guidance Diffusion Framework for Probabilistic Time Series Forecasting

Temporal Graph Benchmark for Machine Learning on Temporal Graphs

LIFT: Language-Interfaced Fine-Tuning for Non-Language Machine Learning Tasks

DAiSEE: Towards User Engagement Recognition in the Wild

MART: Memory-Augmented Recurrent Transformer for Coherent Video Paragraph Captioning

Distributionally Robust Language Modeling

SenseFi: A Library and Benchmark on Deep-Learning-Empowered WiFi Human Sensing

Robust Audio Adversarial Example for a Physical Attack

Nested Graph Neural Networks

Near-Optimal Bayesian Active Learning with Noisy Observations

WavTokenizer: an Efficient Acoustic Discrete Codec Tokenizer for Audio Language Modeling

AutoDAN-Turbo: A Lifelong Agent for Strategy Self-Exploration to Jailbreak LLMs

Latent Space Policies for Hierarchical Reinforcement Learning

FlashKAN: B-Spline KANs via Truncated Power Form

Towards a Unified Framework for Fair and Stable Graph Representation Learning

HNHN: Hypergraph Networks with Hyperedge Neurons

Artificial Intelligence-Based Methods for Fusion of Electronic Health Records and Imaging Data

Disease Burden over Skin Tone: Decomposing the Dermatology-AI Generalization Gap

Graph-Based Spatial-Temporal Convolutional Network for Vehicle Trajectory Prediction in Autonomous Driving

oHC: Orthogonal Hyper-Connections on SO(4) via Quaternions

AGI Maze Prediction Datasets: A Compact Benchmark for Learning World Dynamics with Transformers

Learning Thermodynamics with Boltzmann Machines

Generative Adversarial Networks recover features in astrophysical images of galaxies beyond the deconvolution limit

An Overview on Data Representation Learning: From Traditional Feature Learning to Recent Deep Learning

Loom: Weaving Diagnostic Strands into Free-Text Consensus via Embedding-Space Reweighting

Improving Evaluation Realism with Inference-Time Compute and Deployment Scaffolds

Agent Q: Advanced Reasoning and Learning for Autonomous AI Agents

Deep Representation Learning of Electronic Health Records to Unlock Patient Stratification at Scale

Local contrastive loss with pseudo-label based self-training for semi-supervised medical image segmentation

Residual-based attention in physics-informed neural networks

Wild Patterns Reloaded: A Survey of Machine Learning Security against Training Data Poisoning

Accelerating high-throughput virtual screening through molecular pool-based active learning

Count-Based Exploration with the Successor Representation

WeaveMark: Robust and Scalable Multi-bit LLM Watermarking via Coded Payload Spreading

Understanding the Failure Modes of Out-of-Distribution Generalization

Random Features for Kernel Approximation: A Survey on Algorithms, Theory, and Beyond

Meta-Transformer: A Unified Framework for Multimodal Learning

Advancing LLM Reasoning Generalists with Preference Trees

Unsupervised Question Decomposition for Question Answering

SPADE: SPaT Attack Detection from the Connected Vehicle's Perspective

Integrating Document Clustering and Topic Modeling

Learning Convolutional Transforms for Lossy Point Cloud Geometry Compression

Network-Aware Forecasting on Wireless Access Points

Is it Time to Replace CNNs with Transformers for Medical Images?

Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection

Differentiable Electricity-Market Clearing for Gradient-Based Planning

OpenXAI: Towards a Transparent Evaluation of Model Explanations

How To Grade a Test Without Knowing the Answers --- A Bayesian Graphical Model for Adaptive Crowdsourcing and Aptitude Testing

Adaptive Trust Region Policy Optimization: Global Convergence and Faster Rates for Regularized MDPs

AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction