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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17,221 to 17,280 of 20,215

Federated Learning for Smart Healthcare: A Survey
Dinh C. Nguyen, Quoc-Viet Pham, Pubudu N. Pathirana +5
cs.LGeess.SParXiv:2111.08834v12021
Adversarial Attack on Graph Structured Data
Hanjun Dai, Hui Li, Tian Tian +4
cs.LGcs.CRcs.SIarXiv:1806.02371v12018
Bilevel Programming for Hyperparameter Optimization and Meta-Learning
Luca Franceschi, Paolo Frasconi, Saverio Salzo +2
stat.MLcs.LGarXiv:1806.04910v22018
Measuring Catastrophic Forgetting in Neural Networks
Ronald Kemker, Marc McClure, Angelina Abitino +2
cs.AIcs.CVcs.LGarXiv:1708.02072v42017
Edge AI: On-Demand Accelerating Deep Neural Network Inference via Edge Computing
En Li, Liekang Zeng, Zhi Zhou +1
cs.NIcs.CVcs.DCarXiv:1910.05316v12019
Machine Learning Testing: Survey, Landscapes and Horizons
Jie M. Zhang, Mark Harman, Lei Ma +1
cs.LGcs.AIcs.SEarXiv:1906.10742v22019
Overcoming Exploration in Reinforcement Learning with Demonstrations
Ashvin Nair, Bob McGrew, Marcin Andrychowicz +2
cs.LGcs.AIcs.NEarXiv:1709.10089v22017
TIES-Merging: Resolving Interference When Merging Models
Prateek Yadav, Derek Tam, Leshem Choshen +2
cs.LGcs.AIcs.CLarXiv:2306.01708v22023
Arcee Trinity Large Technical Report
Varun Singh, Lucas Krauss, Sami Jaghouar +23
cs.LGcs.CLarXiv:2602.17004v12026
Explaining NonLinear Classification Decisions with Deep Taylor Decomposition
Grégoire Montavon, Sebastian Bach, Alexander Binder +2
cs.LGstat.MLarXiv:1512.02479v12015
LIBERO-Para: A Diagnostic Benchmark and Metrics for Paraphrase Robustness in VLA Models
Chanyoung Kim, Minwoo Kim, Minseok Kang +2
cs.LGarXiv:2603.28301v12026
Asymmetric Loss For Multi-Label Classification
Emanuel Ben-Baruch, Tal Ridnik, Nadav Zamir +4
cs.CVcs.LGarXiv:2009.14119v42020
DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning
Zifeng Wang, Zizhao Zhang, Sayna Ebrahimi +8
cs.LGcs.CVarXiv:2204.04799v22022
Gated Feedback Recurrent Neural Networks
Junyoung Chung, Caglar Gulcehre, Kyunghyun Cho +1
cs.NEcs.LGstat.MLarXiv:1502.02367v42015
Towards Automated Kernel Generation in the Era of LLMs
Yang Yu, Peiyu Zang, Chi Hsu Tsai +11
cs.LGcs.CLarXiv:2601.15727v32026
Autoregressive Image Generation using Residual Quantization
Doyup Lee, Chiheon Kim, Saehoon Kim +2
cs.CVcs.LGarXiv:2203.01941v22022
BARF: Bundle-Adjusting Neural Radiance Fields
Chen-Hsuan Lin, Wei-Chiu Ma, Antonio Torralba +1
cs.CVcs.GRcs.LGarXiv:2104.06405v22021
DiffusionCLIP: Text-Guided Diffusion Models for Robust Image Manipulation
Gwanghyun Kim, Taesung Kwon, Jong Chul Ye
cs.CVcs.AIcs.LGarXiv:2110.02711v62021
Sparsified SGD with Memory
Sebastian U. Stich, Jean-Baptiste Cordonnier, Martin Jaggi
cs.LGcs.DCcs.DSarXiv:1809.07599v22018
Variational Dropout Sparsifies Deep Neural Networks
Dmitry Molchanov, Arsenii Ashukha, Dmitry Vetrov
stat.MLcs.LGarXiv:1701.05369v32017
Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formatting
Melanie Sclar, Yejin Choi, Yulia Tsvetkov +1
cs.CLcs.AIcs.LGarXiv:2310.11324v22023
Physics-Informed Neural Operator for Learning Partial Differential Equations
Zongyi Li, Hongkai Zheng, Nikola Kovachki +5
cs.LGmath.NAarXiv:2111.03794v42021
Reward-free Alignment for Conflicting Objectives
Peter Chen, Xiaopeng Li, Xi Chen +1
cs.CLcs.AIcs.LGarXiv:2602.02495v32026
TuckER: Tensor Factorization for Knowledge Graph Completion
Ivana Balažević, Carl Allen, Timothy M. Hospedales
cs.LGstat.MLarXiv:1901.09590v22019
A Benchmark for Interpretability Methods in Deep Neural Networks
Sara Hooker, Dumitru Erhan, Pieter-Jan Kindermans +1
cs.LGcs.AIstat.MLarXiv:1806.10758v32018
TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second
Noah Hollmann, Samuel Müller, Katharina Eggensperger +1
cs.LGstat.MLarXiv:2207.01848v62022
Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis
Yucheng Tang, Dong Yang, Wenqi Li +5
cs.CVcs.AIcs.LGarXiv:2111.14791v22021
Parseval Networks: Improving Robustness to Adversarial Examples
Moustapha Cisse, Piotr Bojanowski, Edouard Grave +2
stat.MLcs.AIcs.CRarXiv:1704.08847v22017
Thinking in Frames: How Visual Context and Test-Time Scaling Empower Video Reasoning
Chengzu Li, Zanyi Wang, Jiaang Li +9
cs.LGcs.AIcs.CLarXiv:2601.21037v12026
A Comprehensive Survey of Deep Learning for Image Captioning
Md. Zakir Hossain, Ferdous Sohel, Mohd Fairuz Shiratuddin +1
cs.CVcs.LGstat.MLarXiv:1810.04020v22018
CAD2RL: Real Single-Image Flight without a Single Real Image
Fereshteh Sadeghi, Sergey Levine
cs.LGcs.CVcs.ROarXiv:1611.04201v42016
Deep Reconstruction-Classification Networks for Unsupervised Domain Adaptation
Muhammad Ghifary, W. Bastiaan Kleijn, Mengjie Zhang +2
cs.CVcs.AIcs.LGarXiv:1607.03516v22016
LLaDA-o: An Effective and Length-Adaptive Omni Diffusion Model
Zebin You, Xiaolu Zhang, Jun Zhou +2
cs.CVcs.LGarXiv:2603.01068v12026
Deep learning to represent sub-grid processes in climate models
Stephan Rasp, Michael S. Pritchard, Pierre Gentine
physics.ao-phcs.LGstat.MLarXiv:1806.04731v32018
Parallel WaveNet: Fast High-Fidelity Speech Synthesis
Aaron van den Oord, Yazhe Li, Igor Babuschkin +19
cs.LGarXiv:1711.10433v12017
Linear representations in language models can change dramatically over a conversation
Andrew Kyle Lampinen, Yuxuan Li, Eghbal Hosseini +2
cs.CLcs.LGarXiv:2601.20834v22026
Beyond Imitation: Filtering On-Policy Distillation by Reasoning Progress
Chen Yang, Haiyuan Wan, Rengrong Xiong +2
cs.AIcs.LGarXiv:2608.19408v12026
Mechanistic Data Attribution: Tracing the Training Origins of Interpretable LLM Units
Jianhui Chen, Yuzhang Luo, Liangming Pan
cs.CLcs.AIcs.LGarXiv:2601.21996v22026
Drug discovery with explainable artificial intelligence
José Jiménez-Luna, Francesca Grisoni, Gisbert Schneider
cs.AIcs.LGstat.MLarXiv:2007.00523v22020
Effective Use of Word Order for Text Categorization with Convolutional Neural Networks
Rie Johnson, Tong Zhang
cs.CLcs.LGstat.MLarXiv:1412.1058v22014
Policy Distillation
Andrei A. Rusu, Sergio Gomez Colmenarejo, Caglar Gulcehre +6
cs.LGarXiv:1511.06295v22015
COVID-CT-Dataset: A CT Scan Dataset about COVID-19
Xingyi Yang, Xuehai He, Jinyu Zhao +3
cs.LGcs.CVeess.IVarXiv:2003.13865v32020
TAPAS: Weakly Supervised Table Parsing via Pre-training
Jonathan Herzig, Paweł Krzysztof Nowak, Thomas Müller +2
cs.IRcs.AIcs.CLarXiv:2004.02349v22020
A Neural Network Approach to Context-Sensitive Generation of Conversational Responses
Alessandro Sordoni, Michel Galley, Michael Auli +6
cs.CLcs.AIcs.LGarXiv:1506.06714v12015
Action-Conditional Video Prediction using Deep Networks in Atari Games
Junhyuk Oh, Xiaoxiao Guo, Honglak Lee +2
cs.LGcs.AIcs.CVarXiv:1507.08750v22015
Cross-Task Generalization via Natural Language Crowdsourcing Instructions
Swaroop Mishra, Daniel Khashabi, Chitta Baral +1
cs.CLcs.AIcs.CVarXiv:2104.08773v42021
Texygen: A Benchmarking Platform for Text Generation Models
Yaoming Zhu, Sidi Lu, Lei Zheng +4
cs.CLcs.IRcs.LGarXiv:1802.01886v12018
Understanding LSTM -- a tutorial into Long Short-Term Memory Recurrent Neural Networks
Ralf C. Staudemeyer, Eric Rothstein Morris
cs.NEcs.CLcs.LGarXiv:1909.09586v12019
F-GRPO: Don't Let Your Policy Learn the Obvious and Forget the Rare
Daniil Plyusov, Alexey Gorbatovski, Boris Shaposhnikov +4
cs.LGcs.AIarXiv:2602.06717v22026
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Bradley Brown, Jordan Juravsky, Ryan Ehrlich +4
cs.LGcs.AIarXiv:2407.21787v32024
A Theoretical Analysis of Contrastive Unsupervised Representation Learning
Sanjeev Arora, Hrishikesh Khandeparkar, Mikhail Khodak +2
cs.LGcs.AIstat.MLarXiv:1902.09229v12019
Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting
Zhiyong Cui, Kristian Henrickson, Ruimin Ke +2
cs.LGstat.MLarXiv:1802.07007v32018
ImagenWorld: Stress-Testing Image Generation Models with Explainable Human Evaluation on Open-ended Real-World Tasks
Samin Mahdizadeh Sani, Max Ku, Nima Jamali +23
cs.GRcs.AIcs.CVarXiv:2603.27862v12026
Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images
Manuel Watter, Jost Tobias Springenberg, Joschka Boedecker +1
cs.LGcs.CVstat.MLarXiv:1506.07365v32015
Prism: Efficient Test-Time Scaling via Hierarchical Search and Self-Verification for Discrete Diffusion Language Models
Jinbin Bai, Yixuan Li, Yuchen Zhu +8
cs.LGarXiv:2602.01842v32026
Transfer Learning in Deep Reinforcement Learning: A Survey
Zhuangdi Zhu, Kaixiang Lin, Anil K. Jain +1
cs.LGcs.AIstat.MLarXiv:2009.07888v72020
Population Based Training of Neural Networks
Max Jaderberg, Valentin Dalibard, Simon Osindero +9
cs.LGcs.NEarXiv:1711.09846v22017
Unitary Evolution Recurrent Neural Networks
Martin Arjovsky, Amar Shah, Yoshua Bengio
cs.LGcs.NEstat.MLarXiv:1511.06464v42015
TabTransformer: Tabular Data Modeling Using Contextual Embeddings
Xin Huang, Ashish Khetan, Milan Cvitkovic +1
cs.LGcs.AIarXiv:2012.06678v12020
Self-Improving World Modelling with Latent Actions
Yifu Qiu, Zheng Zhao, Waylon Li +4
cs.LGcs.AIcs.CLarXiv:2602.06130v22026

Machine Learning

Federated Learning for Smart Healthcare: A Survey

Adversarial Attack on Graph Structured Data

Bilevel Programming for Hyperparameter Optimization and Meta-Learning

Measuring Catastrophic Forgetting in Neural Networks

Edge AI: On-Demand Accelerating Deep Neural Network Inference via Edge Computing

Machine Learning Testing: Survey, Landscapes and Horizons

Overcoming Exploration in Reinforcement Learning with Demonstrations

TIES-Merging: Resolving Interference When Merging Models

Arcee Trinity Large Technical Report

Explaining NonLinear Classification Decisions with Deep Taylor Decomposition

LIBERO-Para: A Diagnostic Benchmark and Metrics for Paraphrase Robustness in VLA Models

Asymmetric Loss For Multi-Label Classification

DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning

Gated Feedback Recurrent Neural Networks

Towards Automated Kernel Generation in the Era of LLMs

Autoregressive Image Generation using Residual Quantization

BARF: Bundle-Adjusting Neural Radiance Fields

DiffusionCLIP: Text-Guided Diffusion Models for Robust Image Manipulation

Sparsified SGD with Memory

Variational Dropout Sparsifies Deep Neural Networks

Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formatting

Physics-Informed Neural Operator for Learning Partial Differential Equations

Reward-free Alignment for Conflicting Objectives

TuckER: Tensor Factorization for Knowledge Graph Completion

A Benchmark for Interpretability Methods in Deep Neural Networks

TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second

Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis

Parseval Networks: Improving Robustness to Adversarial Examples

Thinking in Frames: How Visual Context and Test-Time Scaling Empower Video Reasoning

A Comprehensive Survey of Deep Learning for Image Captioning

CAD2RL: Real Single-Image Flight without a Single Real Image

Deep Reconstruction-Classification Networks for Unsupervised Domain Adaptation

LLaDA-o: An Effective and Length-Adaptive Omni Diffusion Model

Deep learning to represent sub-grid processes in climate models

Parallel WaveNet: Fast High-Fidelity Speech Synthesis

Linear representations in language models can change dramatically over a conversation

Beyond Imitation: Filtering On-Policy Distillation by Reasoning Progress

Mechanistic Data Attribution: Tracing the Training Origins of Interpretable LLM Units

Drug discovery with explainable artificial intelligence

Effective Use of Word Order for Text Categorization with Convolutional Neural Networks

Policy Distillation

COVID-CT-Dataset: A CT Scan Dataset about COVID-19

TAPAS: Weakly Supervised Table Parsing via Pre-training

A Neural Network Approach to Context-Sensitive Generation of Conversational Responses

Action-Conditional Video Prediction using Deep Networks in Atari Games

Cross-Task Generalization via Natural Language Crowdsourcing Instructions

Texygen: A Benchmarking Platform for Text Generation Models

Understanding LSTM -- a tutorial into Long Short-Term Memory Recurrent Neural Networks

F-GRPO: Don't Let Your Policy Learn the Obvious and Forget the Rare

Large Language Monkeys: Scaling Inference Compute with Repeated Sampling

A Theoretical Analysis of Contrastive Unsupervised Representation Learning

Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting

ImagenWorld: Stress-Testing Image Generation Models with Explainable Human Evaluation on Open-ended Real-World Tasks

Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images

Prism: Efficient Test-Time Scaling via Hierarchical Search and Self-Verification for Discrete Diffusion Language Models

Transfer Learning in Deep Reinforcement Learning: A Survey

Population Based Training of Neural Networks

Unitary Evolution Recurrent Neural Networks

TabTransformer: Tabular Data Modeling Using Contextual Embeddings

Self-Improving World Modelling with Latent Actions