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.

Search paper metadata (including unsummarized papers)

19,261 to 19,320 of 20,215

High-Dimensional Continuous Control Using Generalized Advantage Estimation
John Schulman, Philipp Moritz, Sergey Levine +2
cs.LGcs.ROeess.SYarXiv:1506.02438v62015
Learning Important Features Through Propagating Activation Differences
Avanti Shrikumar, Peyton Greenside, Anshul Kundaje
cs.CVcs.LGcs.NEarXiv:1704.02685v22017
Europe's Climate Ambition Under Scrutiny: Evidence from Deep Learning Emission Projections
Jacopo Ghirri, Carlos Rodriguez-Pardo, Lara Aleluia Reis +1
cs.LGcs.AIecon.GNarXiv:2608.18690v12026
GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models
Alex Nichol, Prafulla Dhariwal, Aditya Ramesh +5
cs.CVcs.GRcs.LGarXiv:2112.10741v32021
Reflexion: Language Agents with Verbal Reinforcement Learning
Noah Shinn, Federico Cassano, Edward Berman +3
cs.AIcs.CLcs.LGarXiv:2303.11366v42023
iCaRL: Incremental Classifier and Representation Learning
Sylvestre-Alvise Rebuffi, Alexander Kolesnikov, Georg Sperl +1
cs.CVcs.LGstat.MLarXiv:1611.07725v22016
Variational Inference with Normalizing Flows
Danilo Jimenez Rezende, Shakir Mohamed
stat.MLcs.AIcs.LGarXiv:1505.05770v62015
Spectral Normalization for Generative Adversarial Networks
Takeru Miyato, Toshiki Kataoka, Masanori Koyama +1
cs.LGcs.CVstat.MLarXiv:1802.05957v12018
FedCoRe: Target-Adaptive Completion for Missing Modalities in Healthcare Federated Learning
Holger R. Roth, Ziyue Xu, Peter Cnudde
cs.CVcs.AIcs.LGarXiv:2608.18311v12026
A Survey Of Methods For Explaining Black Box Models
Riccardo Guidotti, Anna Monreale, Salvatore Ruggieri +3
cs.CYcs.AIcs.LGarXiv:1802.01933v32018
EEVEE: Towards Test-time Prompt Learning in the Real World for Self-Improving Agents
Weixian Xu, Shilong Liu, Mengdi Wang
cs.LGcs.AIarXiv:2606.11182v12026
Task-Conditioned Least-Privilege Learning for Executable Terminal and MCP Agents
Alexander Tu, Michael Tu
cs.CRcs.AIcs.LGarXiv:2608.18351v12026
ERASE: EaRly bAckpropagation SchEdule for Faster Training of Modern Recommendation Systems
Ergan Shang, Flavio Sales Truzzi
cs.LGcs.AIarXiv:2608.18469v12026
Flash-GMM: A Memory-Efficient Kernel for Scalable Soft Clustering
Gal Bloch, Ariel Gera, Matan Orbach +2
cs.LGcs.DBcs.IRarXiv:2606.10896v12026
Pedagogical AI in Mental Health: A Tri-Stream Fine-Tuned LLM Framework for Automated Clinical Supervision and Risk Triage
Shreeya Sharma, Ravish Gupta, Saket Kumar +1
cs.CLcs.AIcs.LGarXiv:2608.18438v12026
Summaries:한국어 日本語简体中文 Español Français Deutsch
Exploring Simple Siamese Representation Learning
Xinlei Chen, Kaiming He
cs.CVcs.LGarXiv:2011.10566v12020
Mechanistic Interpretability of Structure-Aware Numerical Reasoning in LLaMA 3.1 8B
Rahul Chowdhury, Timothy A Rupprecht, Senhao Cao +5
cs.LGcs.AIarXiv:2608.18419v12026
Vector Symbolic Policy Gradient
Ryozo Masukawa, Sanggeon Yun, SungHeon Jeong +6
cs.LGcs.AIcs.SCarXiv:2608.18404v12026
Wasserstein GAN
Martin Arjovsky, Soumith Chintala, Léon Bottou
stat.MLcs.LGarXiv:1701.07875v32017
Selection, Recombination, or a Fresh Solve? A Candidate-Free Control for Single-Pass Test-Time Aggregation
Guiv Farmanfarmaian
cs.LGcs.AIcs.CLarXiv:2608.18379v12026
Low-Power, Neuromorphic, Acoustic Anomaly Detection for Persistent Machine Monitoring
Steven C. Nesbit, Victor M. Vergara, Michael A. Felix +4
cs.NEcs.AIcs.ETarXiv:2608.18341v12026
Understanding deep learning requires rethinking generalization
Chiyuan Zhang, Samy Bengio, Moritz Hardt +2
cs.LGarXiv:1611.03530v22016
Coupled-cluster molecular properties across the main group that extrapolate beyond training size
Wenhao He, Xu Chen, Noah Song +10
physics.chem-phcond-mat.mtrl-scics.AIarXiv:2608.18346v12026
Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs
Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos +2
cs.CVcs.LGcs.NEarXiv:1412.7062v42014
Visual-Prompt Guided Wildlife Instance-Level Recognition
Mufhumudzi Muthivhi, Jiahao Huo, Terence van Zyl +1
cs.CVcs.AIcs.LGarXiv:2608.18246v12026
Accurate Decoding of Natural Sentences from Non-Invasive Brain Recordings
Mingfang Zhang, Jarod Lévy, Cedric Rommel +9
cs.CLcs.AIcs.LGarXiv:2608.18114v12026
TokenPowerSandbox: Evidence-Gated CPU-First Screening for Energy-Aware LLM Serving
Chenxu Niu
cs.ARcs.AIcs.DCarXiv:2608.18149v12026
LAION-5B: An open large-scale dataset for training next generation image-text models
Christoph Schuhmann, Romain Beaumont, Richard Vencu +13
cs.CVcs.AIcs.LGarXiv:2210.08402v12022
Improved Baselines with Visual Instruction Tuning
Haotian Liu, Chunyuan Li, Yuheng Li +1
cs.CVcs.AIcs.CLarXiv:2310.03744v22023
Bidirectional representational alignment between biological and artificial neural networks
Samuel Kostousov, Abhinn Kaushik, Brokoslaw Laschowski
cs.LGcs.AIarXiv:2608.18244v12026
Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting
Bing Yu, Haoteng Yin, Zhanxing Zhu
cs.LGstat.MLarXiv:1709.04875v42017
GigaBrain-WBC-0.5: A Behavior World Model for Robust Whole-Body Control with Environment Interaction
Ziyang Cheng, Tianshu Tang, Jinxin Lan +17
cs.ROcs.AIcs.LGarXiv:2608.18234v12026
Equality of Opportunity in Supervised Learning
Moritz Hardt, Eric Price, Nathan Srebro
cs.LGarXiv:1610.02413v12016
Bound-Aware Per-Organ Recall Risk Control for Multi-Organ CT Segmentation under Clinical Domain Shift
Souraj Adhikary, Negar Chabi, Andre Mastmeyer
cs.CVcs.AIcs.LGarXiv:2608.18193v12026
The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo
Matthew D. Hoffman, Andrew Gelman
stat.COcs.LGarXiv:1111.4246v12011
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez, Been Kim
stat.MLcs.AIcs.LGarXiv:1702.08608v22017
DeepFool: a simple and accurate method to fool deep neural networks
Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, Pascal Frossard
cs.LGcs.CVarXiv:1511.04599v32015
Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting
Haixu Wu, Jiehui Xu, Jianmin Wang +1
cs.LGcs.AIarXiv:2106.13008v52021
QLoRA: Efficient Finetuning of Quantized LLMs
Tim Dettmers, Artidoro Pagnoni, Ari Holtzman +1
cs.LGarXiv:2305.14314v12023
What Can Artificial Intelligence Learn from Medicine? Generative Analogies and Reliable Machine Learning Systems
Emanuele Ratti, Lena Zuchowski
cs.LGcs.AIcs.CYarXiv:2608.18186v12026
In-Datacenter Performance Analysis of a Tensor Processing Unit
Norman P. Jouppi, Cliff Young, Nishant Patil +72
cs.ARcs.LGcs.NEarXiv:1704.04760v12017
Spectral Networks and Locally Connected Networks on Graphs
Joan Bruna, Wojciech Zaremba, Arthur Szlam +1
cs.LGcs.CVcs.NEarXiv:1312.6203v32013
Federated Learning: Strategies for Improving Communication Efficiency
Jakub Konečný, H. Brendan McMahan, Felix X. Yu +3
cs.LGarXiv:1610.05492v22016
Fast Graph Representation Learning with PyTorch Geometric
Matthias Fey, Jan Eric Lenssen
cs.LGstat.MLarXiv:1903.02428v32019
LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation
Xiangnan He, Kuan Deng, Xiang Wang +3
cs.IRcs.LGarXiv:2002.02126v42020
OpenAI Gym
Greg Brockman, Vicki Cheung, Ludwig Pettersson +4
cs.LGcs.AIarXiv:1606.01540v12016
Flow Matching for Generative Modeling
Yaron Lipman, Ricky T. Q. Chen, Heli Ben-Hamu +2
cs.LGcs.AIstat.MLarXiv:2210.02747v22022
A Comprehensive Survey on Transfer Learning
Fuzhen Zhuang, Zhiyuan Qi, Keyu Duan +5
cs.LGstat.MLarXiv:1911.02685v32019
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision
Chao Jia, Yinfei Yang, Ye Xia +7
cs.CVcs.CLcs.LGarXiv:2102.05918v22021
Recent Advances in Convolutional Neural Networks
Jiuxiang Gu, Zhenhua Wang, Jason Kuen +9
cs.CVcs.LGcs.NEarXiv:1512.07108v62015
StocksTalk: A Voice-Enabled Conversational Agent for Structured Query Generation over Web Data
Akshat Parmar, Vikranth Udandarao, Abhay Shakya +4
cs.CLcs.AIcs.LGarXiv:2608.18105v12026
Improved Denoising Diffusion Probabilistic Models
Alex Nichol, Prafulla Dhariwal
cs.LGcs.AIstat.MLarXiv:2102.09672v12021
Deep reinforcement learning from human preferences
Paul Christiano, Jan Leike, Tom B. Brown +3
stat.MLcs.AIcs.HCarXiv:1706.03741v42017
Learning without Forgetting
Zhizhong Li, Derek Hoiem
cs.CVcs.LGstat.MLarXiv:1606.09282v32016
Generalized Intersection over Union: A Metric and A Loss for Bounding Box Regression
Hamid Rezatofighi, Nathan Tsoi, JunYoung Gwak +3
cs.CVcs.AIcs.LGarXiv:1902.09630v22019
Neural Architecture Search with Reinforcement Learning
Barret Zoph, Quoc V. Le
cs.LGcs.AIcs.NEarXiv:1611.01578v22016
Grouping the Stochastic Machine: Precision, Not Capability, as the Frontier Metric for AI Systems
George Andrikopoulos
cs.AIcs.CYcs.LGarXiv:2608.19140v12026
Learning Transferable Features with Deep Adaptation Networks
Mingsheng Long, Yue Cao, Jianmin Wang +1
cs.LGarXiv:1502.02791v22015
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features
Sangdoo Yun, Dongyoon Han, Seong Joon Oh +3
cs.CVcs.LGarXiv:1905.04899v22019
Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)
Djork-Arné Clevert, Thomas Unterthiner, Sepp Hochreiter
cs.LGarXiv:1511.07289v52015

Machine Learning

High-Dimensional Continuous Control Using Generalized Advantage Estimation

Learning Important Features Through Propagating Activation Differences

Europe's Climate Ambition Under Scrutiny: Evidence from Deep Learning Emission Projections

GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models

Reflexion: Language Agents with Verbal Reinforcement Learning

iCaRL: Incremental Classifier and Representation Learning

Variational Inference with Normalizing Flows

Spectral Normalization for Generative Adversarial Networks

FedCoRe: Target-Adaptive Completion for Missing Modalities in Healthcare Federated Learning

A Survey Of Methods For Explaining Black Box Models

EEVEE: Towards Test-time Prompt Learning in the Real World for Self-Improving Agents

Task-Conditioned Least-Privilege Learning for Executable Terminal and MCP Agents

ERASE: EaRly bAckpropagation SchEdule for Faster Training of Modern Recommendation Systems

Flash-GMM: A Memory-Efficient Kernel for Scalable Soft Clustering

Pedagogical AI in Mental Health: A Tri-Stream Fine-Tuned LLM Framework for Automated Clinical Supervision and Risk Triage

Exploring Simple Siamese Representation Learning

Mechanistic Interpretability of Structure-Aware Numerical Reasoning in LLaMA 3.1 8B

Vector Symbolic Policy Gradient

Wasserstein GAN

Selection, Recombination, or a Fresh Solve? A Candidate-Free Control for Single-Pass Test-Time Aggregation

Low-Power, Neuromorphic, Acoustic Anomaly Detection for Persistent Machine Monitoring

Understanding deep learning requires rethinking generalization

Coupled-cluster molecular properties across the main group that extrapolate beyond training size

Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs

Visual-Prompt Guided Wildlife Instance-Level Recognition

Accurate Decoding of Natural Sentences from Non-Invasive Brain Recordings

TokenPowerSandbox: Evidence-Gated CPU-First Screening for Energy-Aware LLM Serving

LAION-5B: An open large-scale dataset for training next generation image-text models

Improved Baselines with Visual Instruction Tuning

Bidirectional representational alignment between biological and artificial neural networks

Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting

GigaBrain-WBC-0.5: A Behavior World Model for Robust Whole-Body Control with Environment Interaction

Equality of Opportunity in Supervised Learning

Bound-Aware Per-Organ Recall Risk Control for Multi-Organ CT Segmentation under Clinical Domain Shift

The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo

Towards A Rigorous Science of Interpretable Machine Learning

DeepFool: a simple and accurate method to fool deep neural networks

Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting

QLoRA: Efficient Finetuning of Quantized LLMs

What Can Artificial Intelligence Learn from Medicine? Generative Analogies and Reliable Machine Learning Systems

In-Datacenter Performance Analysis of a Tensor Processing Unit

Spectral Networks and Locally Connected Networks on Graphs

Federated Learning: Strategies for Improving Communication Efficiency

Fast Graph Representation Learning with PyTorch Geometric

LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation

OpenAI Gym

Flow Matching for Generative Modeling

A Comprehensive Survey on Transfer Learning

Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision

Recent Advances in Convolutional Neural Networks

StocksTalk: A Voice-Enabled Conversational Agent for Structured Query Generation over Web Data

Improved Denoising Diffusion Probabilistic Models

Deep reinforcement learning from human preferences

Learning without Forgetting

Generalized Intersection over Union: A Metric and A Loss for Bounding Box Regression

Neural Architecture Search with Reinforcement Learning

Grouping the Stochastic Machine: Precision, Not Capability, as the Frontier Metric for AI Systems

Learning Transferable Features with Deep Adaptation Networks

CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features

Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)