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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26,221 to 26,280 of 33,210

Kimi K2.5: Visual Agentic Intelligence
Kimi Team, Tongtong Bai, Yifan Bai +334
cs.CLcs.AIcs.LGarXiv:2602.02276v22026
Summaries:한국어
Relevance of Rotationally Equivariant Convolutions for Predicting Molecular Properties
Benjamin Kurt Miller, Mario Geiger, Tess E. Smidt +1
cs.LGphysics.chem-phphysics.comp-pharXiv:2008.08461v42020
Challenges of Real-World Reinforcement Learning
Gabriel Dulac-Arnold, Daniel Mankowitz, Todd Hester
cs.LGcs.AIcs.ROarXiv:1904.12901v12019
How Does Reasoning Flow? Tracing Attention-Induced Information Flow for Targeted RL in LLMs
Zhichen Dong, Yang Li, Yuhan Sun +9
cs.LGcs.CLarXiv:2606.10646v12026
Making Political Text Scaling Comparable: Infrastructure and Hyperparameter Sensitivity for 17 Algorithms
Patrick Parschan
cs.CLcs.LGarXiv:2609.17602v12026
Peer Loss Functions: Learning from Noisy Labels without Knowing Noise Rates
Yang Liu, Hongyi Guo
cs.LGstat.MLarXiv:1910.03231v72019
Decentralized Optimal Equilibrium Learning Over Dynamic Networks
Seref Taha Kiremitci, Muhammed O. Sayin
cs.GTcs.AIcs.LGarXiv:2609.17601v12026
ETC: Encoding Long and Structured Inputs in Transformers
Joshua Ainslie, Santiago Ontanon, Chris Alberti +7
cs.LGstat.MLarXiv:2004.08483v52020
Persona Features Control Emergent Misalignment
Miles Wang, Tom Dupré la Tour, Olivia Watkins +8
cs.LGcs.AIarXiv:2506.19823v22025
GrepSeek: Training Search Agents for Direct Corpus Interaction
Alireza Salemi, Chang Zeng, Atharva Nijasure +4
cs.CLcs.AIcs.IRarXiv:2605.29307v12026
Model-Consistent Byzantine-Resilient Decentralized Federated Learning for Collaborative Missions
Yue Li, Sudip Bhujel, Cameron Lira +2
cs.DCcs.CRcs.LGarXiv:2608.22552v12026
Managing Action Preconditions in Neuro-Symbolic RL: Three Placement Strategies for Embodied Agents
Norbert Oswald, Fabian Deuser, Thomas Bräunl
cs.LGcs.AIarXiv:2609.16056v12026
Learning from Rules Generalizing Labeled Exemplars
Abhijeet Awasthi, Sabyasachi Ghosh, Rasna Goyal +1
cs.LGcs.CLstat.MLarXiv:2004.06025v22020
MPNet: Masked and Permuted Pre-training for Language Understanding
Kaitao Song, Xu Tan, Tao Qin +2
cs.CLcs.LGarXiv:2004.09297v22020
Applying Deep Learning to Answer Selection: A Study and An Open Task
Minwei Feng, Bing Xiang, Michael R. Glass +2
cs.CLcs.LGarXiv:1508.01585v22015
Sequence-to-Sequence Models with Attention Mechanistically Map to the Architecture of Human Memory Search
Nikolaus Salvatore, Qiong Zhang
q-bio.NCcs.LGarXiv:2506.17424v12025
Among Us: A Sandbox for Measuring and Detecting Agentic Deception
Satvik Golechha, Adrià Garriga-Alonso
cs.AIcs.LGarXiv:2504.04072v32025
Statistical Inference for Networks of High-Dimensional Point Processes
Xu Wang, Mladen Kolar, Ali Shojaie
stat.MLcs.LGarXiv:2007.07448v12020
Efficient quadratic entropy with distance sketches
Steve Huntsman
stat.MLcs.LGmath.STarXiv:2610.11976v12026
Going Full-TILT Boogie on Document Understanding with Text-Image-Layout Transformer
Rafał Powalski, Łukasz Borchmann, Dawid Jurkiewicz +3
cs.CLcs.LGarXiv:2102.09550v32021
Data-Efficient Autoregressive Document Retrieval for Fact Verification
James Thorne
cs.CLcs.AIcs.IRarXiv:2211.09388v12022
Compliant Residual DAgger: Improving Real-World Contact-Rich Manipulation with Human Corrections
Xiaomeng Xu, Yifan Hou, Chendong Xin +2
cs.ROcs.LGarXiv:2506.16685v52025
A Survey of Constrained Gaussian Process Regression: Approaches and Implementation Challenges
Laura Swiler, Mamikon Gulian, Ari Frankel +2
cs.LGmath.STstat.MLarXiv:2006.09319v32020
A Practical Guide on Graphical Model Validation
Mario V. Wüthrich
stat.MLcs.LGq-fin.RMarXiv:2609.26445v12026
Towards Inheritable Models for Open-Set Domain Adaptation
Jogendra Nath Kundu, Naveen Venkat, Ambareesh Revanur +2
cs.CVcs.LGarXiv:2004.04388v12020
LLM in a flash: Efficient Large Language Model Inference with Limited Memory
Keivan Alizadeh, Iman Mirzadeh, Dmitry Belenko +5
cs.CLcs.AIcs.LGarXiv:2312.11514v32023
Prevalence of Neural Collapse during the terminal phase of deep learning training
Vardan Papyan, X. Y. Han, David L. Donoho
cs.LGcs.CVstat.MLarXiv:2008.08186v22020
RAST: Reasoning Activation in LLMs via Small-model Transfer
Siru Ouyang, Xinyu Zhu, Zilin Xiao +3
cs.LGcs.AIarXiv:2506.15710v12025
Collecting and Analyzing Multidimensional Data with Local Differential Privacy
Ning Wang, Xiaokui Xiao, Yin Yang +5
cs.CRcs.CYcs.DBarXiv:1907.00782v12019
Parameters vs FLOPs: Scaling Laws for Optimal Sparsity for Mixture-of-Experts Language Models
Samira Abnar, Harshay Shah, Dan Busbridge +3
cs.LGcs.AIarXiv:2501.12370v32025
Linear Fitness Subspace in Protein Language Models Enables Sample-Efficient Directed Evolution
SiYuan Ma, Canran Xiao, Zikai Xiao +5
q-bio.QMcs.AIcs.LGarXiv:2610.07607v12026
Influence Selection for Active Learning
Zhuoming Liu, Hao Ding, Huaping Zhong +3
cs.LGcs.CVarXiv:2108.09331v12021
Hints, Critics, and Teachers: Prior Injection for Sparse-Reward RL in Vision-Language Math Reasoning
Qiqian Fu
cs.AIcs.LGarXiv:2608.21811v12026
DeepWeeds: A Multiclass Weed Species Image Dataset for Deep Learning
Alex Olsen, Dmitry A. Konovalov, Bronson Philippa +10
cs.CVcs.LGstat.MLarXiv:1810.05726v32018
Detecting AI Trojans Using Meta Neural Analysis
Xiaojun Xu, Qi Wang, Huichen Li +3
cs.AIcs.CRcs.LGarXiv:1910.03137v42019
Modeling Latent Disturbances for Robust Decision-Making in World Models
Junwon Seo, Andrea Bajcsy
cs.ROcs.AIcs.LGarXiv:2610.07599v12026
Long-tail learning via logit adjustment
Aditya Krishna Menon, Sadeep Jayasumana, Ankit Singh Rawat +3
cs.LGstat.MLarXiv:2007.07314v22020
LSTM-MSNet: Leveraging Forecasts on Sets of Related Time Series with Multiple Seasonal Patterns
Kasun Bandara, Christoph Bergmeir, Hansika Hewamalage
stat.APcs.LGcs.NEarXiv:1909.04293v22019
A Comprehensive Survey of Deep Learning for Image Captioning
Md. Zakir Hossain, Ferdous Sohel, Mohd Fairuz Shiratuddin +1
cs.CVcs.LGstat.MLarXiv:1810.04020v22018
DART: Dropouts meet Multiple Additive Regression Trees
K. V. Rashmi, Ran Gilad-Bachrach
cs.LGstat.MLarXiv:1505.01866v12015
Neuro-Symbolic Hierarchical Intention Anticipation in Human Behavior
Farnaz Soleimani, Abdelghani Chibani, Yacine Amirat +1
cs.AIcs.CVcs.HCarXiv:2609.17064v12026
The Missing Primitive: Diagnosing and Repairing Mathematical Reasoning in Large Language Models
Shuo Xing, Zilin Dai, Chengyuan Qian +7
cs.LGarXiv:2610.02191v12026
SPINAL -- Scaling-law and Preference Integration in Neural Alignment Layers
Arion Das, Partha Pratim Saha, Amit Dhanda +3
cs.LGcs.AIcs.CLarXiv:2601.06238v12026
End-to-End Waveform Utterance Enhancement for Direct Evaluation Metrics Optimization by Fully Convolutional Neural Networks
Szu-Wei Fu, Tao-Wei Wang, Yu Tsao +2
stat.MLcs.LGcs.SDarXiv:1709.03658v22017
Mechanistic Interpretability of Atmospheric Rivers in GraphCast
Madelyn Mathai, Timothy B. Higgins, Kevin M. Grise +2
cs.LGcs.AIarXiv:2610.07583v12026
Playing Atari with Deep Reinforcement Learning
Volodymyr Mnih, Koray Kavukcuoglu, David Silver +4
cs.LGarXiv:1312.5602v12013
PBLH Estimation from Satellite Radiances via a Dual-Encoder Transformer
Lorenzo Innocenti, Luca Catalano, Edoardo Arnaudo +4
cs.CVcs.LGarXiv:2609.28286v12026
Solving Schrödinger Bridges via Maximum Likelihood
Francisco Vargas, Pierre Thodoroff, Neil D. Lawrence +1
stat.MLcs.LGarXiv:2106.02081v92021
Complementary Feature Domains: Information Preservation Does Not Imply Predictive-Contribution Preservation
Timothy Oladunni, Farouk Ganiyu-Adewumi
cs.LGcs.AIarXiv:2610.07565v12026
Interval Neural Networks: Uncertainty Scores
Luis Oala, Cosmas Heiß, Jan Macdonald +3
cs.LGcs.CVeess.IVarXiv:2003.11566v12020
Which and When to Admit: Gradient Admission for Data-Centric Small Language Model Finetuning
Hongyu Cao, Yanchi Liu, Kunpeng Liu +5
cs.LGcs.AIarXiv:2610.07553v12026
Reweighted Wake-Sleep
Jörg Bornschein, Yoshua Bengio
cs.LGarXiv:1406.2751v42014
When Benchmarks Lie: Evaluating Malicious Prompt Classifiers Under True Distribution Shift
Max Fomin
cs.LGarXiv:2602.14161v22026
A Comprehensive Review of Deep Learning-based Single Image Super-resolution
Syed Muhammad Arsalan Bashir, Yi Wang, Mahrukh Khan +1
cs.CVcs.LGeess.IVarXiv:2102.09351v32021
Is $\sqrt{d}$ Separation Necessary for Gradient EM to Learn Gaussian Mixtures in High Dimensions?
Yiran Zhang, Mo Zhou, Weihang Xu +2
stat.MLcs.LGarXiv:2610.07551v12026
Accelerating Diffusion Large Language Models with SlowFast Sampling: The Three Golden Principles
Qingyan Wei, Yaojie Zhang, Zhiyuan Liu +5
cs.CLcs.AIcs.LGarXiv:2506.10848v32025
A deep dictionary network-based foundation model for ultra-low-dose CT denoising
Baoshun Shi, Shuangyi Yang, Ke Jiang +3
eess.IVcs.CVcs.LGarXiv:2609.16031v12026
CriticBench: Benchmarking LLMs for Critique-Correct Reasoning
Zicheng Lin, Zhibin Gou, Tian Liang +3
cs.CLcs.AIcs.LGarXiv:2402.14809v42024
Neuroevolution of Self-Interpretable Agents
Yujin Tang, Duong Nguyen, David Ha
cs.NEcs.CVcs.LGarXiv:2003.08165v22020
Is a Good Representation Sufficient for Sample Efficient Reinforcement Learning?
Simon S. Du, Sham M. Kakade, Ruosong Wang +1
cs.LGcs.AImath.OCarXiv:1910.03016v42019

Machine Learning

Kimi K2.5: Visual Agentic Intelligence

Relevance of Rotationally Equivariant Convolutions for Predicting Molecular Properties

Challenges of Real-World Reinforcement Learning

How Does Reasoning Flow? Tracing Attention-Induced Information Flow for Targeted RL in LLMs

Making Political Text Scaling Comparable: Infrastructure and Hyperparameter Sensitivity for 17 Algorithms

Peer Loss Functions: Learning from Noisy Labels without Knowing Noise Rates

Decentralized Optimal Equilibrium Learning Over Dynamic Networks

ETC: Encoding Long and Structured Inputs in Transformers

Persona Features Control Emergent Misalignment

GrepSeek: Training Search Agents for Direct Corpus Interaction

Model-Consistent Byzantine-Resilient Decentralized Federated Learning for Collaborative Missions

Managing Action Preconditions in Neuro-Symbolic RL: Three Placement Strategies for Embodied Agents

Learning from Rules Generalizing Labeled Exemplars

MPNet: Masked and Permuted Pre-training for Language Understanding

Applying Deep Learning to Answer Selection: A Study and An Open Task

Sequence-to-Sequence Models with Attention Mechanistically Map to the Architecture of Human Memory Search

Among Us: A Sandbox for Measuring and Detecting Agentic Deception

Statistical Inference for Networks of High-Dimensional Point Processes

Efficient quadratic entropy with distance sketches

Going Full-TILT Boogie on Document Understanding with Text-Image-Layout Transformer

Data-Efficient Autoregressive Document Retrieval for Fact Verification

Compliant Residual DAgger: Improving Real-World Contact-Rich Manipulation with Human Corrections

A Survey of Constrained Gaussian Process Regression: Approaches and Implementation Challenges

A Practical Guide on Graphical Model Validation

Towards Inheritable Models for Open-Set Domain Adaptation

LLM in a flash: Efficient Large Language Model Inference with Limited Memory

Prevalence of Neural Collapse during the terminal phase of deep learning training

RAST: Reasoning Activation in LLMs via Small-model Transfer

Collecting and Analyzing Multidimensional Data with Local Differential Privacy

Parameters vs FLOPs: Scaling Laws for Optimal Sparsity for Mixture-of-Experts Language Models

Linear Fitness Subspace in Protein Language Models Enables Sample-Efficient Directed Evolution

Influence Selection for Active Learning

Hints, Critics, and Teachers: Prior Injection for Sparse-Reward RL in Vision-Language Math Reasoning

DeepWeeds: A Multiclass Weed Species Image Dataset for Deep Learning

Detecting AI Trojans Using Meta Neural Analysis

Modeling Latent Disturbances for Robust Decision-Making in World Models

Long-tail learning via logit adjustment

LSTM-MSNet: Leveraging Forecasts on Sets of Related Time Series with Multiple Seasonal Patterns

A Comprehensive Survey of Deep Learning for Image Captioning

DART: Dropouts meet Multiple Additive Regression Trees

Neuro-Symbolic Hierarchical Intention Anticipation in Human Behavior

The Missing Primitive: Diagnosing and Repairing Mathematical Reasoning in Large Language Models

SPINAL -- Scaling-law and Preference Integration in Neural Alignment Layers

End-to-End Waveform Utterance Enhancement for Direct Evaluation Metrics Optimization by Fully Convolutional Neural Networks

Mechanistic Interpretability of Atmospheric Rivers in GraphCast

Playing Atari with Deep Reinforcement Learning

PBLH Estimation from Satellite Radiances via a Dual-Encoder Transformer

Solving Schrödinger Bridges via Maximum Likelihood

Complementary Feature Domains: Information Preservation Does Not Imply Predictive-Contribution Preservation

Interval Neural Networks: Uncertainty Scores

Which and When to Admit: Gradient Admission for Data-Centric Small Language Model Finetuning

Reweighted Wake-Sleep

When Benchmarks Lie: Evaluating Malicious Prompt Classifiers Under True Distribution Shift

A Comprehensive Review of Deep Learning-based Single Image Super-resolution

Is $\sqrt{d}$ Separation Necessary for Gradient EM to Learn Gaussian Mixtures in High Dimensions?

Accelerating Diffusion Large Language Models with SlowFast Sampling: The Three Golden Principles

A deep dictionary network-based foundation model for ultra-low-dose CT denoising

CriticBench: Benchmarking LLMs for Critique-Correct Reasoning

Neuroevolution of Self-Interpretable Agents

Is a Good Representation Sufficient for Sample Efficient Reinforcement Learning?