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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18,361 to 18,420 of 20,193

Passage Re-ranking with BERT
Rodrigo Nogueira, Kyunghyun Cho
cs.IRcs.CLcs.LGarXiv:1901.04085v52019
Reproducible scaling laws for contrastive language-image learning
Mehdi Cherti, Romain Beaumont, Ross Wightman +6
cs.LGcs.AIcs.CVarXiv:2212.07143v22022
Conditional Equivalence of DPO and RLHF: Implicit Assumption, Failure Modes, and Provable Alignment
Zhiqin Yang, Yonggang Zhang, Wei Xue +3
cs.AIcs.LGarXiv:2605.20834v12026
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition
Hamed Karimi, Julie Nutini, Mark Schmidt
cs.LGmath.OCstat.COarXiv:1608.04636v42016
PlanningBench: Generating Scalable and Verifiable Planning Data for Evaluating and Training Large Language Models
Ziliang Zhao, Zenan Xu, Shuting Wang +7
cs.AIcs.LGarXiv:2605.20873v22026
Do Better ImageNet Models Transfer Better?
Simon Kornblith, Jonathon Shlens, Quoc V. Le
cs.CVcs.LGstat.MLarXiv:1805.08974v32018
AutoRubric-T2I: Robust Rule-Based Reward Model for Text-to-Image Alignment
Kuei-Chun Kao, Daixuan Huo, Yuanhao Ban +1
cs.AIcs.CVcs.LGarXiv:2605.17602v22026
Decoupling Communication from Policy: Robust MARL under Bandwidth Constraints
Alexi Canesse, Benoît Goupil, Jesse Read +1
cs.MAcs.AIcs.LGarXiv:2605.21085v12026
A Survey on Multimodal Large Language Models
Shukang Yin, Chaoyou Fu, Sirui Zhao +4
cs.CVcs.AIcs.CLarXiv:2306.13549v42023
On Layer Normalization in the Transformer Architecture
Ruibin Xiong, Yunchang Yang, Di He +7
cs.LGcs.CLstat.MLarXiv:2002.04745v22020
MOCHA: Multi-Objective Chebyshev Annealing for Agent Skill Optimization
Md Mehrab Tanjim, Jayakumar Subramanian, Xiang Chen +6
cs.AIcs.LGcs.SEarXiv:2605.19330v12026
Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning Models
Wieland Brendel, Jonas Rauber, Matthias Bethge
stat.MLcs.CRcs.CVarXiv:1712.04248v22017
CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis
Erik Nijkamp, Bo Pang, Hiroaki Hayashi +5
cs.LGcs.CLcs.PLarXiv:2203.13474v52022
Learning to See in the Dark
Chen Chen, Qifeng Chen, Jia Xu +1
cs.CVcs.GRcs.LGarXiv:1805.01934v12018
Minimalist Visual Inertial Odometry
Francesco Pasti, Jeremy Klotz, Nicola Bellotto +1
cs.ROcs.CVcs.LGarXiv:2605.19990v12026
Data-Efficient Image Recognition with Contrastive Predictive Coding
Olivier J. Hénaff, Aravind Srinivas, Jeffrey De Fauw +4
cs.CVcs.LGarXiv:1905.09272v32019
Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning
Tabish Rashid, Mikayel Samvelyan, Christian Schroeder de Witt +3
cs.LGcs.MAstat.MLarXiv:2003.08839v22020
RETAIN: An Interpretable Predictive Model for Healthcare using Reverse Time Attention Mechanism
Edward Choi, Mohammad Taha Bahadori, Joshua A. Kulas +3
cs.LGcs.AIcs.NEarXiv:1608.05745v42016
PCANet: A Simple Deep Learning Baseline for Image Classification?
Tsung-Han Chan, Kui Jia, Shenghua Gao +3
cs.CVcs.LGcs.NEarXiv:1404.3606v22014
Perceiver: General Perception with Iterative Attention
Andrew Jaegle, Felix Gimeno, Andrew Brock +3
cs.CVcs.AIcs.LGarXiv:2103.03206v22021
Cross-stitch Networks for Multi-task Learning
Ishan Misra, Abhinav Shrivastava, Abhinav Gupta +1
cs.CVcs.LGarXiv:1604.03539v12016
Deep & Cross Network for Ad Click Predictions
Ruoxi Wang, Bin Fu, Gang Fu +1
cs.LGstat.MLarXiv:1708.05123v12017
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs
Aldo Pareja, Giacomo Domeniconi, Jie Chen +6
cs.LGcs.SIstat.MLarXiv:1902.10191v32019
Interaction Networks for Learning about Objects, Relations and Physics
Peter W. Battaglia, Razvan Pascanu, Matthew Lai +2
cs.AIcs.LGarXiv:1612.00222v12016
FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation
Sewon Min, Kalpesh Krishna, Xinxi Lyu +6
cs.CLcs.AIcs.LGarXiv:2305.14251v22023
Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models
Kurtland Chua, Roberto Calandra, Rowan McAllister +1
cs.LGcs.AIcs.ROarXiv:1805.12114v22018
BranchyNet: Fast Inference via Early Exiting from Deep Neural Networks
Surat Teerapittayanon, Bradley McDanel, H. T. Kung
cs.NEcs.CVcs.LGarXiv:1709.01686v12017
Generating Videos with Scene Dynamics
Carl Vondrick, Hamed Pirsiavash, Antonio Torralba
cs.CVcs.GRcs.LGarXiv:1609.02612v32016
What Makes for Good Views for Contrastive Learning?
Yonglong Tian, Chen Sun, Ben Poole +3
cs.CVcs.LGarXiv:2005.10243v32020
This Looks Like That: Deep Learning for Interpretable Image Recognition
Chaofan Chen, Oscar Li, Chaofan Tao +3
cs.LGcs.AIcs.CVarXiv:1806.10574v52018
Incorporating Copying Mechanism in Sequence-to-Sequence Learning
Jiatao Gu, Zhengdong Lu, Hang Li +1
cs.CLcs.AIcs.LGarXiv:1603.06393v32016
A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction
Yao Qin, Dongjin Song, Haifeng Chen +3
cs.LGstat.MLarXiv:1704.02971v42017
Learning to Simulate Complex Physics with Graph Networks
Alvaro Sanchez-Gonzalez, Jonathan Godwin, Tobias Pfaff +3
cs.LGphysics.comp-phstat.MLarXiv:2002.09405v22020
LLMs as Noisy Channels: A Shannon Perspective on Model Capacity and Scaling Laws
Xu Ouyang, Deyi Liu, Yuhang Cai +5
cs.LGcs.AIcs.ITarXiv:2605.23901v12026
Large-Margin Softmax Loss for Convolutional Neural Networks
Weiyang Liu, Yandong Wen, Zhiding Yu +1
stat.MLcs.LGarXiv:1612.02295v42016
Can AI help in screening Viral and COVID-19 pneumonia?
Muhammad E. H. Chowdhury, Tawsifur Rahman, Amith Khandakar +9
cs.LGcs.CVarXiv:2003.13145v32020
TransitLM: A Large-Scale Dataset and Benchmark for Map-Free Transit Route Generation
Hanyu Guo, Jiedong Yang, Chao Chen +3
cs.CLcs.AIcs.LGarXiv:2605.22355v12026
Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks
Wei-Lin Chiang, Xuanqing Liu, Si Si +3
cs.LGcs.AIstat.MLarXiv:1905.07953v22019
OpenML: networked science in machine learning
Joaquin Vanschoren, Jan N. van Rijn, Bernd Bischl +1
cs.LGcs.CYarXiv:1407.7722v22014
Deep Reinforcement Learning for Robotic Manipulation with Asynchronous Off-Policy Updates
Shixiang Gu, Ethan Holly, Timothy Lillicrap +1
cs.ROcs.AIcs.LGarXiv:1610.00633v22016
Unsupervised Domain Adaptation with Residual Transfer Networks
Mingsheng Long, Han Zhu, Jianmin Wang +1
cs.LGarXiv:1602.04433v22016
E(n) Equivariant Graph Neural Networks
Victor Garcia Satorras, Emiel Hoogeboom, Max Welling
cs.LGstat.MLarXiv:2102.09844v32021
Differentially Private Empirical Risk Minimization
Kamalika Chaudhuri, Claire Monteleoni, Anand D. Sarwate
cs.LGcs.AIcs.CRarXiv:0912.0071v52009
Transformers in Time Series: A Survey
Qingsong Wen, Tian Zhou, Chaoli Zhang +4
cs.LGcs.AIeess.SParXiv:2202.07125v52022
Convex Low-resource Accent-Robust Language Detection in Speech Recognition
Miria Feng, William Tan, Mert Pilanci
cs.LGarXiv:2605.23235v12026
Learning Word Vectors for 157 Languages
Edouard Grave, Piotr Bojanowski, Prakhar Gupta +2
cs.CLcs.LGarXiv:1802.06893v22018
Provable defenses against adversarial examples via the convex outer adversarial polytope
Eric Wong, J. Zico Kolter
cs.LGcs.AImath.OCarXiv:1711.00851v32017
Directional Alignment Mitigates Reward Hacking in Reinforcement Learning for Language Models
Wenlong Deng, Jiaji Huang, Kaan Ozkara +4
cs.LGcs.CLarXiv:2605.25189v12026
The Ethics of AI Ethics -- An Evaluation of Guidelines
Thilo Hagendorff
cs.AIcs.CYcs.LGarXiv:1903.03425v22019
Growing a Neural Network in Breadth, Depth, and Time
Eivinas Butkus, Kedar Garzón Gupta, Nikolaus Kriegeskorte
q-bio.NCcs.LGcs.NEarXiv:2605.25174v12026
Towards Evaluation Engineering: An Empirical Study of ML Evaluation Harnesses in the Wild
Zhimin Zhao, Zehao Wang, Abdul Ali Bangash +2
cs.SEcs.AIcs.LGarXiv:2605.24213v12026
Decoding the Critique Mechanism in Large Reasoning Models
Hoang Phan, Quang H. Nguyen, Hung T. Q. Le +3
cs.LGarXiv:2603.16331v22026
Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A Survey
Bonan Min, Hayley Ross, Elior Sulem +6
cs.CLcs.AIcs.LGarXiv:2111.01243v12021
Self-Supervised Learning of Pretext-Invariant Representations
Ishan Misra, Laurens van der Maaten
cs.CVcs.LGarXiv:1912.01991v12019
Molecular Graph Convolutions: Moving Beyond Fingerprints
Steven Kearnes, Kevin McCloskey, Marc Berndl +2
stat.MLcs.LGarXiv:1603.00856v32016
Reinforcement Learning with Deep Energy-Based Policies
Tuomas Haarnoja, Haoran Tang, Pieter Abbeel +1
cs.LGcs.AIarXiv:1702.08165v22017
Efficient Transformers: A Survey
Yi Tay, Mostafa Dehghani, Dara Bahri +1
cs.LGcs.AIcs.CLarXiv:2009.06732v32020
Learning to Plan Chemical Syntheses
Marwin H. S. Segler, Mike Preuss, Mark P. Waller
cs.AIcs.LGphysics.chem-pharXiv:1708.04202v12017
Jailbreaking Black Box Large Language Models in Twenty Queries
Patrick Chao, Alexander Robey, Edgar Dobriban +3
cs.LGcs.AIarXiv:2310.08419v42023
DeepGCNs: Can GCNs Go as Deep as CNNs?
Guohao Li, Matthias Müller, Ali Thabet +1
cs.CVcs.LGarXiv:1904.03751v22019

Machine Learning

Passage Re-ranking with BERT

Reproducible scaling laws for contrastive language-image learning

Conditional Equivalence of DPO and RLHF: Implicit Assumption, Failure Modes, and Provable Alignment

Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition

PlanningBench: Generating Scalable and Verifiable Planning Data for Evaluating and Training Large Language Models

Do Better ImageNet Models Transfer Better?

AutoRubric-T2I: Robust Rule-Based Reward Model for Text-to-Image Alignment

Decoupling Communication from Policy: Robust MARL under Bandwidth Constraints

A Survey on Multimodal Large Language Models

On Layer Normalization in the Transformer Architecture

MOCHA: Multi-Objective Chebyshev Annealing for Agent Skill Optimization

Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning Models

CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis

Learning to See in the Dark

Minimalist Visual Inertial Odometry

Data-Efficient Image Recognition with Contrastive Predictive Coding

Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning

RETAIN: An Interpretable Predictive Model for Healthcare using Reverse Time Attention Mechanism

PCANet: A Simple Deep Learning Baseline for Image Classification?

Perceiver: General Perception with Iterative Attention

Cross-stitch Networks for Multi-task Learning

Deep & Cross Network for Ad Click Predictions

EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs

Interaction Networks for Learning about Objects, Relations and Physics

FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation

Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models

BranchyNet: Fast Inference via Early Exiting from Deep Neural Networks

Generating Videos with Scene Dynamics

What Makes for Good Views for Contrastive Learning?

This Looks Like That: Deep Learning for Interpretable Image Recognition

Incorporating Copying Mechanism in Sequence-to-Sequence Learning

A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction

Learning to Simulate Complex Physics with Graph Networks

LLMs as Noisy Channels: A Shannon Perspective on Model Capacity and Scaling Laws

Large-Margin Softmax Loss for Convolutional Neural Networks

Can AI help in screening Viral and COVID-19 pneumonia?

TransitLM: A Large-Scale Dataset and Benchmark for Map-Free Transit Route Generation

Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks

OpenML: networked science in machine learning

Deep Reinforcement Learning for Robotic Manipulation with Asynchronous Off-Policy Updates

Unsupervised Domain Adaptation with Residual Transfer Networks

E(n) Equivariant Graph Neural Networks

Differentially Private Empirical Risk Minimization

Transformers in Time Series: A Survey

Convex Low-resource Accent-Robust Language Detection in Speech Recognition

Learning Word Vectors for 157 Languages

Provable defenses against adversarial examples via the convex outer adversarial polytope

Directional Alignment Mitigates Reward Hacking in Reinforcement Learning for Language Models

The Ethics of AI Ethics -- An Evaluation of Guidelines

Growing a Neural Network in Breadth, Depth, and Time

Towards Evaluation Engineering: An Empirical Study of ML Evaluation Harnesses in the Wild

Decoding the Critique Mechanism in Large Reasoning Models

Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A Survey

Self-Supervised Learning of Pretext-Invariant Representations

Molecular Graph Convolutions: Moving Beyond Fingerprints

Reinforcement Learning with Deep Energy-Based Policies

Efficient Transformers: A Survey

Learning to Plan Chemical Syntheses

Jailbreaking Black Box Large Language Models in Twenty Queries

DeepGCNs: Can GCNs Go as Deep as CNNs?