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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8,281 to 8,340 of 20,219

The Lessons of Developing Process Reward Models in Mathematical Reasoning
Zhenru Zhang, Chujie Zheng, Yangzhen Wu +6
cs.CLcs.AIcs.LGarXiv:2501.07301v22025
The Right Tool for the Job: Matching Model and Instance Complexities
Roy Schwartz, Gabriel Stanovsky, Swabha Swayamdipta +2
cs.CLcs.LGarXiv:2004.07453v22020
A Unified Approach to Error Bounds for Structured Convex Optimization Problems
Zirui Zhou, Anthony Man-Cho So
math.OCcs.LGmath.NAarXiv:1512.03518v12015
Deep Probabilistic Programming
Dustin Tran, Matthew D. Hoffman, Rif A. Saurous +3
stat.MLcs.AIcs.LGarXiv:1701.03757v22017
Diffusion Transformers with Representation Autoencoders
Boyang Zheng, Nanye Ma, Shengbang Tong +1
cs.CVcs.LGarXiv:2510.11690v12025
Differentiable plasticity: training plastic neural networks with backpropagation
Thomas Miconi, Jeff Clune, Kenneth O. Stanley
cs.NEcs.LGstat.MLarXiv:1804.02464v32018
Contrastive Learning for Label-Efficient Semantic Segmentation
Xiangyun Zhao, Raviteja Vemulapalli, Philip Mansfield +4
cs.CVcs.AIcs.LGarXiv:2012.06985v42020
Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks
Da-Wei Zhou, Han-Jia Ye, Liang Ma +3
cs.CVcs.LGarXiv:2203.17030v22022
Cognitive Behaviors that Enable Self-Improving Reasoners, or, Four Habits of Highly Effective STaRs
Kanishk Gandhi, Ayush Chakravarthy, Anikait Singh +2
cs.CLcs.LGarXiv:2503.01307v22025
Overparameterized Nonlinear Learning: Gradient Descent Takes the Shortest Path?
Samet Oymak, Mahdi Soltanolkotabi
cs.LGmath.OCstat.MLarXiv:1812.10004v12018
Agentic Context Engineering: Evolving Contexts for Self-Improving Language Models
Qizheng Zhang, Changran Hu, Shubhangi Upasani +10
cs.LGcs.AIcs.CLarXiv:2510.04618v32025
Reconstruction vs. Generation: Taming Optimization Dilemma in Latent Diffusion Models
Jingfeng Yao, Bin Yang, Xinggang Wang
cs.CVcs.LGarXiv:2501.01423v32025
Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models
Marianne Arriola, Aaron Gokaslan, Justin T. Chiu +5
cs.LGcs.AIarXiv:2503.09573v32025
Who Should I Trust: AI or Myself? Leveraging Human and AI Correctness Likelihood to Promote Appropriate Trust in AI-Assisted Decision-Making
Shuai Ma, Ying Lei, Xinru Wang +4
cs.HCcs.AIcs.LGarXiv:2301.05809v12023
Process Reinforcement through Implicit Rewards
Ganqu Cui, Lifan Yuan, Zefan Wang +22
cs.LGcs.AIcs.CLarXiv:2502.01456v22025
TrajMind: Chaining Role-Specialized LoRAs for Fast-and-Slow Collective Trajectory Anomaly Diagnosis
Jiahao Wu, Zhenqun Yang, Chen Jason Zhang +1
cs.LGarXiv:2609.02540v12026
Summaries:한국어
From Reweighting to Rewriting: Unlocking the Intervention Effects of Influential Samples in Training Data Attribution
Yuzhang Luo, Chenpeng Wang, Jianhui Chen +1
cs.CLcs.AIcs.LGarXiv:2609.02771v12026
Coverage, Not Targeting: A Structural Regime in Multi-Turn Agent Credit Assignment
Chenyu Zhou, Qiliang Jiang, Shuning Wu +1
cs.LGcs.AIarXiv:2609.02417v12026
Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction
Eli Chien, Wei-Cheng Chang, Cho-Jui Hsieh +4
cs.LGarXiv:2111.00064v32021
Machine-Learning-Based Diagnostics of EEG Pathology
Lukas Alexander Wilhelm Gemein, Robin Tibor Schirrmeister, Patryk Chrabąszcz +5
eess.IVcs.LGeess.SParXiv:2002.05115v12020
Molecule Attention Transformer
Łukasz Maziarka, Tomasz Danel, Sławomir Mucha +3
cs.LGphysics.comp-phstat.MLarXiv:2002.08264v12020
DeepSeek-Prover-V1.5: Harnessing Proof Assistant Feedback for Reinforcement Learning and Monte-Carlo Tree Search
Huajian Xin, Z. Z. Ren, Junxiao Song +14
cs.CLcs.AIcs.LGarXiv:2408.08152v12024
Inferring deterministic causal relations
Povilas Daniusis, Dominik Janzing, Joris Mooij +4
cs.LGstat.MLarXiv:1203.3475v12012
ELEVATER: A Benchmark and Toolkit for Evaluating Language-Augmented Visual Models
Chunyuan Li, Haotian Liu, Liunian Harold Li +8
cs.CVcs.CLcs.LGarXiv:2204.08790v62022
MAZE: Data-Free Model Stealing Attack Using Zeroth-Order Gradient Estimation
Sanjay Kariyappa, Atul Prakash, Moinuddin Qureshi
stat.MLcs.LGarXiv:2005.03161v22020
Trace Lasso: a trace norm regularization for correlated designs
Edouard Grave, Guillaume Obozinski, Francis Bach
cs.LGstat.MLarXiv:1109.1990v12011
RAB: Provable Robustness Against Backdoor Attacks
Maurice Weber, Xiaojun Xu, Bojan Karlaš +2
cs.LGstat.MLarXiv:2003.08904v82020
Summaries:한국어
C3oT: Generating Shorter Chain-of-Thought without Compromising Effectiveness
Yu Kang, Xianghui Sun, Liangyu Chen +1
cs.CLcs.LGarXiv:2412.11664v12024
Distributed Matrix Completion and Robust Factorization
Lester Mackey, Ameet Talwalkar, Michael I. Jordan
cs.LGcs.DSmath.NAarXiv:1107.0789v72011
Dyna-Style Planning with Linear Function Approximation and Prioritized Sweeping
Richard S. Sutton, Csaba Szepesvari, Alborz Geramifard +1
cs.AIcs.LGeess.SYarXiv:1206.3285v12012
What Is Worth Representing? Representational Empowerment for Continual Model Construction
Fei Dai, Hanqi Zhou, Alison Gopnik +1
cs.LGcs.AIarXiv:2609.02322v12026
Meta-DETR: Image-Level Few-Shot Detection with Inter-Class Correlation Exploitation
Gongjie Zhang, Zhipeng Luo, Kaiwen Cui +2
cs.CVcs.AIcs.LGarXiv:2208.00219v12022
Learning from Distributions via Support Measure Machines
Krikamol Muandet, Kenji Fukumizu, Francesco Dinuzzo +1
stat.MLcs.LGarXiv:1202.6504v22012
Kernel Reboot: Breaking the Boundaries of Neural Tangent Kernels for Neural Fields
Amir Mallak, Alaa Maalouf, Lior Wolf +2
cs.LGcs.CVarXiv:2609.03117v12026
Self-Supervised Generation of Spatial Audio for 360 Video
Pedro Morgado, Nuno Vasconcelos, Timothy Langlois +1
cs.SDcs.CVcs.LGarXiv:1809.02587v12018
Can We Gain More from Orthogonality Regularizations in Training Deep CNNs?
Nitin Bansal, Xiaohan Chen, Zhangyang Wang
cs.LGcs.CVstat.MLarXiv:1810.09102v12018
FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow
Xuezhe Ma, Chunting Zhou, Xian Li +2
cs.CLcs.LGarXiv:1909.02480v32019
Targeted Adversarial Examples for Black Box Audio Systems
Rohan Taori, Amog Kamsetty, Brenton Chu +1
cs.LGcs.CRcs.SDarXiv:1805.07820v22018
FastSHAP: Real-Time Shapley Value Estimation
Neil Jethani, Mukund Sudarshan, Ian Covert +2
stat.MLcs.CVcs.LGarXiv:2107.07436v32021
Learn from Whoever Is Right: Answer-Verified Multi-Teacher Distillation for Multi-Domain LLMs
Xixiang He, Xingming Li, Baiqi Wu +4
cs.LGcs.AIarXiv:2609.02548v12026
$π^{*}_{0.6}$: a VLA That Learns From Experience
Physical Intelligence, Ali Amin, Raichelle Aniceto +53
cs.LGcs.ROarXiv:2511.14759v22025
Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention
Jingyang Yuan, Huazuo Gao, Damai Dai +12
cs.CLcs.AIcs.LGarXiv:2502.11089v22025
LHRS-Bot: Empowering Remote Sensing with VGI-Enhanced Large Multimodal Language Model
Dilxat Muhtar, Zhenshi Li, Feng Gu +2
cs.CVcs.AIcs.LGarXiv:2402.02544v42024
Multi-class Classification without Multi-class Labels
Yen-Chang Hsu, Zhaoyang Lv, Joel Schlosser +2
cs.LGcs.AIcs.CVarXiv:1901.00544v12019
Recursive Value Learning for Long-Horizon Offline Goal-Conditioned RL
Hyeonseong Jeon, Youngwoon Lee
cs.LGcs.ROarXiv:2609.02237v12026
AgiBot World Colosseo: A Large-scale Manipulation Platform for Scalable and Intelligent Embodied Systems
AgiBot-World-Contributors, Qingwen Bu, Jisong Cai +49
cs.ROcs.CVcs.LGarXiv:2503.06669v42025
Spectral Initialization and Scheduled Graph Smoothness for Uncertain Knowledge Graph Completion
Md Abrar Jahin, Taufikur Rahman Fuad, Jay Pujara +1
cs.LGcs.AIarXiv:2609.02519v12026
Interactive and Visual Prompt Engineering for Ad-hoc Task Adaptation with Large Language Models
Hendrik Strobelt, Albert Webson, Victor Sanh +4
cs.CLcs.HCcs.LGarXiv:2208.07852v12022
Automated Concatenation of Embeddings for Structured Prediction
Xinyu Wang, Yong Jiang, Nguyen Bach +4
cs.CLcs.AIcs.LGarXiv:2010.05006v42020
LoRA-TSD: Tangent-Space Spectral Descent for LoRA via Muon-Style Updates
Dmitrii Andriianov, Andrey Veprikov, Aleksandr Beznosikov
cs.LGarXiv:2609.02734v12026
Graph Meta Learning via Local Subgraphs
Kexin Huang, Marinka Zitnik
cs.LGstat.MLarXiv:2006.07889v42020
Reasoning Models Don't Always Say What They Think
Yanda Chen, Joe Benton, Ansh Radhakrishnan +12
cs.CLcs.AIcs.LGarXiv:2505.05410v12025
Causal Bandits: Learning Good Interventions via Causal Inference
Finnian Lattimore, Tor Lattimore, Mark D. Reid
stat.MLcs.LGarXiv:1606.03203v12016
Best-Arm Identification in Linear Bandits
Marta Soare, Alessandro Lazaric, Rémi Munos
cs.LGarXiv:1409.6110v22014
Kimi K2: Open Agentic Intelligence
Kimi Team, Yifan Bai, Yiping Bao +197
cs.LGcs.AIcs.CLarXiv:2507.20534v22025
Leveraging Big Data Analytics in Healthcare Enhancement: Trends, Challenges and Opportunities
Arshia Rehman, Saeeda Naz, Imran Razzak
stat.OTcs.LGstat.MLarXiv:2004.09010v12020
Getting aligned on representational alignment
Ilia Sucholutsky, Lukas Muttenthaler, Adrian Weller +30
q-bio.NCcs.AIcs.LGarXiv:2310.13018v32023
Brain-like associative learning using a nanoscale non-volatile phase change synaptic device array
Sukru Burc Eryilmaz, Duygu Kuzum, Rakesh Jeyasingh +4
cs.NEcond-mat.mtrl-scics.LGarXiv:1406.4951v42014
Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model
Jingcheng Hu, Yinmin Zhang, Qi Han +3
cs.LGcs.CLarXiv:2503.24290v22025
Scalable Kronecker-Fisher Approximation: Efficient Hessian Analysis for Billion-Parameter Language Models Compression
Viacheslav Yusupov, Daria Cherniuk, Evgeny Frolov
cs.LGcs.AIcs.CLarXiv:2609.02451v12026

Machine Learning

The Lessons of Developing Process Reward Models in Mathematical Reasoning

The Right Tool for the Job: Matching Model and Instance Complexities

A Unified Approach to Error Bounds for Structured Convex Optimization Problems

Deep Probabilistic Programming

Diffusion Transformers with Representation Autoencoders

Differentiable plasticity: training plastic neural networks with backpropagation

Contrastive Learning for Label-Efficient Semantic Segmentation

Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks

Cognitive Behaviors that Enable Self-Improving Reasoners, or, Four Habits of Highly Effective STaRs

Overparameterized Nonlinear Learning: Gradient Descent Takes the Shortest Path?

Agentic Context Engineering: Evolving Contexts for Self-Improving Language Models

Reconstruction vs. Generation: Taming Optimization Dilemma in Latent Diffusion Models

Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models

Who Should I Trust: AI or Myself? Leveraging Human and AI Correctness Likelihood to Promote Appropriate Trust in AI-Assisted Decision-Making

Process Reinforcement through Implicit Rewards

TrajMind: Chaining Role-Specialized LoRAs for Fast-and-Slow Collective Trajectory Anomaly Diagnosis

From Reweighting to Rewriting: Unlocking the Intervention Effects of Influential Samples in Training Data Attribution

Coverage, Not Targeting: A Structural Regime in Multi-Turn Agent Credit Assignment

Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction

Machine-Learning-Based Diagnostics of EEG Pathology

Molecule Attention Transformer

DeepSeek-Prover-V1.5: Harnessing Proof Assistant Feedback for Reinforcement Learning and Monte-Carlo Tree Search

Inferring deterministic causal relations

ELEVATER: A Benchmark and Toolkit for Evaluating Language-Augmented Visual Models

MAZE: Data-Free Model Stealing Attack Using Zeroth-Order Gradient Estimation

Trace Lasso: a trace norm regularization for correlated designs

RAB: Provable Robustness Against Backdoor Attacks

C3oT: Generating Shorter Chain-of-Thought without Compromising Effectiveness

Distributed Matrix Completion and Robust Factorization

Dyna-Style Planning with Linear Function Approximation and Prioritized Sweeping

What Is Worth Representing? Representational Empowerment for Continual Model Construction

Meta-DETR: Image-Level Few-Shot Detection with Inter-Class Correlation Exploitation

Learning from Distributions via Support Measure Machines

Kernel Reboot: Breaking the Boundaries of Neural Tangent Kernels for Neural Fields

Self-Supervised Generation of Spatial Audio for 360 Video

Can We Gain More from Orthogonality Regularizations in Training Deep CNNs?

FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow

Targeted Adversarial Examples for Black Box Audio Systems

FastSHAP: Real-Time Shapley Value Estimation

Learn from Whoever Is Right: Answer-Verified Multi-Teacher Distillation for Multi-Domain LLMs

$π^{*}_{0.6}$: a VLA That Learns From Experience

Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention

LHRS-Bot: Empowering Remote Sensing with VGI-Enhanced Large Multimodal Language Model

Multi-class Classification without Multi-class Labels

Recursive Value Learning for Long-Horizon Offline Goal-Conditioned RL

AgiBot World Colosseo: A Large-scale Manipulation Platform for Scalable and Intelligent Embodied Systems

Spectral Initialization and Scheduled Graph Smoothness for Uncertain Knowledge Graph Completion

Interactive and Visual Prompt Engineering for Ad-hoc Task Adaptation with Large Language Models

Automated Concatenation of Embeddings for Structured Prediction

LoRA-TSD: Tangent-Space Spectral Descent for LoRA via Muon-Style Updates

Graph Meta Learning via Local Subgraphs

Reasoning Models Don't Always Say What They Think

Causal Bandits: Learning Good Interventions via Causal Inference

Best-Arm Identification in Linear Bandits

Kimi K2: Open Agentic Intelligence

Leveraging Big Data Analytics in Healthcare Enhancement: Trends, Challenges and Opportunities

Getting aligned on representational alignment

Brain-like associative learning using a nanoscale non-volatile phase change synaptic device array

Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model

Scalable Kronecker-Fisher Approximation: Efficient Hessian Analysis for Billion-Parameter Language Models Compression