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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16,441 to 16,500 of 20,193

Efficiently Scaling Transformer Inference
Reiner Pope, Sholto Douglas, Aakanksha Chowdhery +7
cs.LGcs.CLarXiv:2211.05102v12022
High Frequency Component Helps Explain the Generalization of Convolutional Neural Networks
Haohan Wang, Xindi Wu, Zeyi Huang +1
cs.CVcs.LGarXiv:1905.13545v32019
Predictive Entropy Search for Efficient Global Optimization of Black-box Functions
José Miguel Hernández-Lobato, Matthew W. Hoffman, Zoubin Ghahramani
stat.MLcs.LGarXiv:1406.2541v12014
Optimal Distributed Online Prediction using Mini-Batches
Ofer Dekel, Ran Gilad-Bachrach, Ohad Shamir +1
cs.LGcs.DCmath.OCarXiv:1012.1367v22010
BPDQ: Bit-Plane Decomposition Quantization on a Variable Grid for Large Language Models
Junyu Chen, Jungang Li, Jing Xiong +11
cs.LGarXiv:2602.04163v22026
Temporal Pair Consistency for Variance-Reduced Flow Matching
Chika Maduabuchi, Jindong Wang
cs.LGcs.AIcs.CVarXiv:2602.04908v22026
No One-Size-Fits-All: Building Systems For Translation to Bashkir, Kazakh, Kyrgyz, Tatar and Chuvash Using Synthetic And Original Data
Dmitry Karpov
cs.CLcs.AIcs.LGarXiv:2602.04442v12026
SEM: Sparse Embedding Modulation for Post-Hoc Debiasing of Vision-Language Models
Quentin Guimard, Federico Bartsch, Simone Caldarella +3
cs.CVcs.AIcs.LGarXiv:2603.19028v12026
FedML: A Research Library and Benchmark for Federated Machine Learning
Chaoyang He, Songze Li, Jinhyun So +17
cs.LGstat.MLarXiv:2007.13518v42020
MathVerse: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems?
Renrui Zhang, Dongzhi Jiang, Yichi Zhang +8
cs.CVcs.AIcs.CLarXiv:2403.14624v22024
Late-to-Early Training: LET LLMs Learn Earlier, So Faster and Better
Ji Zhao, Yufei Gu, Shitong Shao +3
cs.CLcs.LGarXiv:2602.05393v12026
VAE with a VampPrior
Jakub M. Tomczak, Max Welling
cs.LGcs.AIstat.MLarXiv:1705.07120v52017
Precision-Aware Variable Bit Processing Elements for Hardware-Efficient Systolic Array Designs
Dantu Nandini Devi, Madhav Rao
cs.ARcs.ETcs.LGarXiv:2608.22378v12026
Social Attention: Modeling Attention in Human Crowds
Anirudh Vemula, Katharina Muelling, Jean Oh
cs.ROcs.LGarXiv:1710.04689v22017
HashNet: Deep Learning to Hash by Continuation
Zhangjie Cao, Mingsheng Long, Jianmin Wang +1
cs.LGcs.CVarXiv:1702.00758v42017
Editing Factual Knowledge in Language Models
Nicola De Cao, Wilker Aziz, Ivan Titov
cs.CLcs.AIcs.LGarXiv:2104.08164v22021
Dreaming in Code for Curriculum Learning in Open-Ended Worlds
Konstantinos Mitsides, Maxence Faldor, Antoine Cully
cs.LGcs.AIcs.CLarXiv:2602.08194v12026
Label-Efficient Semantic Segmentation with Diffusion Models
Dmitry Baranchuk, Ivan Rubachev, Andrey Voynov +2
cs.CVcs.LGarXiv:2112.03126v32021
FlexMoRE: A Flexible Mixture of Rank-heterogeneous Experts for Efficient Federatedly-trained Large Language Models
Annemette Brok Pirchert, Jacob Nielsen, Mogens Henrik From +2
cs.LGarXiv:2602.08818v12026
On the Optimal Reasoning Length for RL-Trained Language Models
Daisuke Nohara, Taishi Nakamura, Rio Yokota
cs.CLcs.AIcs.LGarXiv:2602.09591v32026
Deep neural network models for computational histopathology: A survey
Chetan L. Srinidhi, Ozan Ciga, Anne L. Martel
eess.IVcs.CVcs.LGarXiv:1912.12378v22019
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities
Yisheng Song, Ting Wang, Subrota K Mondal +1
cs.LGarXiv:2205.06743v22022
Global Convergence of Policy Gradient Methods for the Linear Quadratic Regulator
Maryam Fazel, Rong Ge, Sham M. Kakade +1
cs.LGstat.MLarXiv:1801.05039v32018
Leveraging Procedural Generation to Benchmark Reinforcement Learning
Karl Cobbe, Christopher Hesse, Jacob Hilton +1
cs.LGstat.MLarXiv:1912.01588v22019
Internalizing Meta-Experience into Memory for Guided Reinforcement Learning in Large Language Models
Shiting Huang, Zecheng Li, Yu Zeng +7
cs.LGcs.AIarXiv:2602.10224v12026
Pervasive Label Errors in Test Sets Destabilize Machine Learning Benchmarks
Curtis G. Northcutt, Anish Athalye, Jonas Mueller
stat.MLcs.AIcs.LGarXiv:2103.14749v42021
Deep Evidential Regression
Alexander Amini, Wilko Schwarting, Ava Soleimany +1
cs.LGcs.NEstat.MLarXiv:1910.02600v22019
How Architecture and Training Affect TPC Representations Across Experiments
Tyler Wheeler, Michelle P. Kuchera, Raghuram Ramanujan +11
cs.LGcs.CVnucl-exarXiv:2608.21756v12026
Implicit Quantile Networks for Distributional Reinforcement Learning
Will Dabney, Georg Ostrovski, David Silver +1
cs.LGcs.AIstat.MLarXiv:1806.06923v12018
DIGIT: A Novel Design for a Low-Cost Compact High-Resolution Tactile Sensor with Application to In-Hand Manipulation
Mike Lambeta, Po-Wei Chou, Stephen Tian +9
cs.ROcs.LGeess.SYarXiv:2005.14679v12020
Using Simulation and Domain Adaptation to Improve Efficiency of Deep Robotic Grasping
Konstantinos Bousmalis, Alex Irpan, Paul Wohlhart +9
cs.LGcs.AIcs.CVarXiv:1709.07857v22017
UberNet: Training a `Universal' Convolutional Neural Network for Low-, Mid-, and High-Level Vision using Diverse Datasets and Limited Memory
Iasonas Kokkinos
cs.CVcs.AIcs.LGarXiv:1609.02132v12016
Frontier AI Risk Management Framework in Practice: A Risk Analysis Technical Report v1.5
Dongrui Liu, Yi Yu, Jie Zhang +18
cs.AIcs.CLcs.CVarXiv:2602.14457v12026
Convolutional Neural Networks for Classification of Alzheimer's Disease: Overview and Reproducible Evaluation
Junhao Wen, Elina Thibeau-Sutre, Mauricio Diaz-Melo +7
cs.LGeess.IVstat.MLarXiv:1904.07773v62019
OPBench: A Graph Benchmark to Combat the Opioid Crisis
Tianyi Ma, Yiyang Li, Yiyue Qian +4
cs.LGcs.AIarXiv:2602.14602v12026
Generating Multi-label Discrete Patient Records using Generative Adversarial Networks
Edward Choi, Siddharth Biswal, Bradley Malin +3
cs.LGcs.NEarXiv:1703.06490v32017
More accurate behavioral predictions with hybrid Bayesian-connectionist models
Brenden M. Lake, Akshay K. Jagadish, Guangyuan Jiang
cs.LGarXiv:2608.22154v12026
A comparative study of fairness-enhancing interventions in machine learning
Sorelle A. Friedler, Carlos Scheidegger, Suresh Venkatasubramanian +3
stat.MLcs.CYcs.LGarXiv:1802.04422v12018
Performance Metrics (Error Measures) in Machine Learning Regression, Forecasting and Prognostics: Properties and Typology
Alexei Botchkarev
stat.MEcs.LGstat.MLarXiv:1809.03006v12018
Intent Laundering: AI Safety Datasets Are Not What They Seem
Shahriar Golchin, Marc Wetter
cs.CRcs.AIcs.CLarXiv:2602.16729v32026
TAROT: Test-driven and Capability-adaptive Curriculum Reinforcement Fine-tuning for Code Generation with Large Language Models
Chansung Park, Juyong Jiang, Fan Wang +4
cs.CLcs.LGcs.SEarXiv:2602.15449v12026
Deep Learning-Based Channel Estimation
Mehran Soltani, Vahid Pourahmadi, Ali Mirzaei +1
cs.ITcs.LGeess.SParXiv:1810.05893v42018
VATEX: A Large-Scale, High-Quality Multilingual Dataset for Video-and-Language Research
Xin Wang, Jiawei Wu, Junkun Chen +3
cs.CVcs.CLcs.LGarXiv:1904.03493v32019
Multimodal Injury Risk and Performance Prediction in Tennis Using Weighted Ensemble Learning
Weihao Qu, Dongyang Wang, Ling Zheng +3
cs.LGarXiv:2608.21530v12026
A Semantic Matching Energy Function for Learning with Multi-relational Data
Xavier Glorot, Antoine Bordes, Jason Weston +1
cs.LGarXiv:1301.3485v22013
AAVGen: Precision Engineering of Adeno-associated Viral Capsids for Renal Selective Targeting
Mohammadreza Ghaffarzadeh-Esfahani, Yousof Gheisari
q-bio.QMcs.AIcs.CLarXiv:2602.18915v12026
Semi-Supervised Learning with Generative Adversarial Networks
Augustus Odena
stat.MLcs.LGarXiv:1606.01583v22016
Ani3DHuman: Photorealistic 3D Human Animation with Self-guided Stochastic Sampling
Qi Sun, Can Wang, Jiaxiang Shang +2
cs.CVcs.GRcs.LGarXiv:2602.19089v12026
Label Propagation for Deep Semi-supervised Learning
Ahmet Iscen, Giorgos Tolias, Yannis Avrithis +1
cs.CVcs.LGarXiv:1904.04717v12019
Taming Throughput-Latency Tradeoff in LLM Inference with Sarathi-Serve
Amey Agrawal, Nitin Kedia, Ashish Panwar +5
cs.LGcs.DCarXiv:2403.02310v32024
NanoKnow: How to Know What Your Language Model Knows
Lingwei Gu, Nour Jedidi, Jimmy Lin
cs.CLcs.AIcs.IRarXiv:2602.20122v22026
MRMAD: A Multi-Round Multi-Audio Benchmark for Evaluating Acoustic Degradation Perception in Large Audio-Language Models
Yize Li, Ningyuan Yang, Sile Yin +6
cs.SDcs.LGeess.ASarXiv:2608.22236v12026
Just Train Twice: Improving Group Robustness without Training Group Information
Evan Zheran Liu, Behzad Haghgoo, Annie S. Chen +5
cs.LGcs.AIcs.CYarXiv:2107.09044v22021
QEDBENCH: Quantifying the Alignment Gap in Automated Evaluation of University-Level Mathematical Proofs
Santiago Gonzalez, Alireza Amiri Bavandpour, Peter Ye +48
cs.LGarXiv:2602.20629v32026
Shared Nature, Unique Nurture: PRISM for Pluralistic Reasoning via In-context Structure Modeling
Guancheng Tu, Shiyang Zhang, Tianyu Zhang +2
cs.LGarXiv:2602.21317v12026
Easy to Learn, Yet Hard to Forget: Towards Robust Unlearning Under Bias
JuneHyoung Kwon, MiHyeon Kim, Eunju Lee +3
cs.LGcs.CVarXiv:2602.21773v12026
Token-Level Likelihood-Array Regression for Membership Inference and AI-Generated Text Detection
Jiajun Sun, Zhanrui Cai
stat.MLcs.LGstat.MEarXiv:2608.22179v12026
Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation
Zipeng Fu, Tony Z. Zhao, Chelsea Finn
cs.ROcs.AIcs.CVarXiv:2401.02117v12024
Multi-Head Low-Rank Attention
Songtao Liu, Hongwu Peng, Zhiwei Zhang +2
cs.LGarXiv:2603.02188v12026
Reward Constrained Policy Optimization
Chen Tessler, Daniel J. Mankowitz, Shie Mannor
cs.LGcs.AIstat.MLarXiv:1805.11074v32018

Machine Learning

Efficiently Scaling Transformer Inference

High Frequency Component Helps Explain the Generalization of Convolutional Neural Networks

Predictive Entropy Search for Efficient Global Optimization of Black-box Functions

Optimal Distributed Online Prediction using Mini-Batches

BPDQ: Bit-Plane Decomposition Quantization on a Variable Grid for Large Language Models

Temporal Pair Consistency for Variance-Reduced Flow Matching

No One-Size-Fits-All: Building Systems For Translation to Bashkir, Kazakh, Kyrgyz, Tatar and Chuvash Using Synthetic And Original Data

SEM: Sparse Embedding Modulation for Post-Hoc Debiasing of Vision-Language Models

FedML: A Research Library and Benchmark for Federated Machine Learning

MathVerse: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems?

Late-to-Early Training: LET LLMs Learn Earlier, So Faster and Better

VAE with a VampPrior

Precision-Aware Variable Bit Processing Elements for Hardware-Efficient Systolic Array Designs

Social Attention: Modeling Attention in Human Crowds

HashNet: Deep Learning to Hash by Continuation

Editing Factual Knowledge in Language Models

Dreaming in Code for Curriculum Learning in Open-Ended Worlds

Label-Efficient Semantic Segmentation with Diffusion Models

FlexMoRE: A Flexible Mixture of Rank-heterogeneous Experts for Efficient Federatedly-trained Large Language Models

On the Optimal Reasoning Length for RL-Trained Language Models

Deep neural network models for computational histopathology: A survey

A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities

Global Convergence of Policy Gradient Methods for the Linear Quadratic Regulator

Leveraging Procedural Generation to Benchmark Reinforcement Learning

Internalizing Meta-Experience into Memory for Guided Reinforcement Learning in Large Language Models

Pervasive Label Errors in Test Sets Destabilize Machine Learning Benchmarks

Deep Evidential Regression

How Architecture and Training Affect TPC Representations Across Experiments

Implicit Quantile Networks for Distributional Reinforcement Learning

DIGIT: A Novel Design for a Low-Cost Compact High-Resolution Tactile Sensor with Application to In-Hand Manipulation

Using Simulation and Domain Adaptation to Improve Efficiency of Deep Robotic Grasping

UberNet: Training a `Universal' Convolutional Neural Network for Low-, Mid-, and High-Level Vision using Diverse Datasets and Limited Memory

Frontier AI Risk Management Framework in Practice: A Risk Analysis Technical Report v1.5

Convolutional Neural Networks for Classification of Alzheimer's Disease: Overview and Reproducible Evaluation

OPBench: A Graph Benchmark to Combat the Opioid Crisis

Generating Multi-label Discrete Patient Records using Generative Adversarial Networks

More accurate behavioral predictions with hybrid Bayesian-connectionist models

A comparative study of fairness-enhancing interventions in machine learning

Performance Metrics (Error Measures) in Machine Learning Regression, Forecasting and Prognostics: Properties and Typology

Intent Laundering: AI Safety Datasets Are Not What They Seem

TAROT: Test-driven and Capability-adaptive Curriculum Reinforcement Fine-tuning for Code Generation with Large Language Models

Deep Learning-Based Channel Estimation

VATEX: A Large-Scale, High-Quality Multilingual Dataset for Video-and-Language Research

Multimodal Injury Risk and Performance Prediction in Tennis Using Weighted Ensemble Learning

A Semantic Matching Energy Function for Learning with Multi-relational Data

AAVGen: Precision Engineering of Adeno-associated Viral Capsids for Renal Selective Targeting

Semi-Supervised Learning with Generative Adversarial Networks

Ani3DHuman: Photorealistic 3D Human Animation with Self-guided Stochastic Sampling

Label Propagation for Deep Semi-supervised Learning

Taming Throughput-Latency Tradeoff in LLM Inference with Sarathi-Serve

NanoKnow: How to Know What Your Language Model Knows

MRMAD: A Multi-Round Multi-Audio Benchmark for Evaluating Acoustic Degradation Perception in Large Audio-Language Models

Just Train Twice: Improving Group Robustness without Training Group Information

QEDBENCH: Quantifying the Alignment Gap in Automated Evaluation of University-Level Mathematical Proofs

Shared Nature, Unique Nurture: PRISM for Pluralistic Reasoning via In-context Structure Modeling

Easy to Learn, Yet Hard to Forget: Towards Robust Unlearning Under Bias

Token-Level Likelihood-Array Regression for Membership Inference and AI-Generated Text Detection

Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation

Multi-Head Low-Rank Attention

Reward Constrained Policy Optimization