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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24,661 to 24,720 of 33,310

DeepTopoClustering: Unsupervised Derivation of Surface Process Taxonomy from 4D Point Clouds for Topographic Monitoring
Jiapan Wang, Daan Hulskemper, Mathilde Letard +2
cs.CVcs.LGarXiv:2610.09860v12026
Local Maxima in the Likelihood of Gaussian Mixture Models: Structural Results and Algorithmic Consequences
Chi Jin, Yuchen Zhang, Sivaraman Balakrishnan +2
stat.MLcs.LGmath.OCarXiv:1609.00978v12016
NEMORA: Neural Equivariant Multipole Operators for Long-Range Atomistic Learning
Jay L. Kaplan, Samuel Varner, Rebecca Willett +1
cs.LGphysics.chem-phphysics.comp-pharXiv:2610.10776v12026
Can Generalist Agents Automate Data Curation?
Feiyang Kang, Hanze Li, Adam Nguyen +5
cs.AIcs.CLcs.CVarXiv:2606.04261v12026
Draft, Sketch, and Prove: Guiding Formal Theorem Provers with Informal Proofs
Albert Q. Jiang, Sean Welleck, Jin Peng Zhou +6
cs.AIcs.LGarXiv:2210.12283v32022
Efficient Diffusion Policies for Offline Reinforcement Learning
Bingyi Kang, Xiao Ma, Chao Du +2
cs.LGcs.AIarXiv:2305.20081v22023
Hardware-aware training for large-scale and diverse deep learning inference workloads using in-memory computing-based accelerators
Malte J. Rasch, Charles Mackin, Manuel Le Gallo +10
cs.LGcs.ETarXiv:2302.08469v12023
Lazier Than Lazy Greedy
Baharan Mirzasoleiman, Ashwinkumar Badanidiyuru, Amin Karbasi +2
cs.LGcs.DScs.IRarXiv:1409.7938v32014
On the Importance and Applicability of Pre-Training for Federated Learning
Hong-You Chen, Cheng-Hao Tu, Ziwei Li +2
cs.LGcs.AIcs.CVarXiv:2206.11488v32022
ObserverBench: Testing Mechanistic Estimates for Intervention and Control
Vijay Erramilli
cs.LGcs.AIarXiv:2609.03026v12026
Evaluation of Session-based Recommendation Algorithms
Malte Ludewig, Dietmar Jannach
cs.IRcs.AIcs.LGarXiv:1803.09587v22018
A Systematic Literature Review on the Use of Deep Learning in Software Engineering Research
Cody Watson, Nathan Cooper, David Nader Palacio +2
cs.SEcs.AIcs.LGarXiv:2009.06520v22020
From Sentiment Classification to Actionable and Responsible Feedback: A Scoping Review and Evidence Map of NLP in Student Evaluation of Teaching, 2015-2026
Jeff Eicher, Rafael da Silva
cs.CLcs.LGarXiv:2609.27939v12026
Can LLMs Use Relational Transformer Embeddings?
Francisco Galuppo Azevedo, Clarissa Lima Loures
cs.LGarXiv:2609.00457v12026
Conversational Task Disambiguation over Tabular Data: Leakage-Aware Formulation, Benchmark Suite, and Training
Nafiseh Ghoroghchian, Luis Scoccola, Tina Sedaghat +4
cs.LGcs.AIcs.CLarXiv:2610.10740v12026
Densely Connected Convolutional Networks
Gao Huang, Zhuang Liu, Laurens van der Maaten +1
cs.CVcs.LGarXiv:1608.06993v52016
Summaries:한국어
Neural Scene Representation for Locomotion on Structured Terrain
David Hoeller, Nikita Rudin, Christopher Choy +2
cs.ROcs.AIcs.CVarXiv:2206.08077v12022
Think in Latent, Explain in Language: Self-Explainable Latent Reasoning
Dayuan Zhao, Shengcao Cao, Yu-Xiong Wang +1
cs.CLcs.AIcs.LGarXiv:2608.13570v12026
Bad Characters: Imperceptible NLP Attacks
Nicholas Boucher, Ilia Shumailov, Ross Anderson +1
cs.CLcs.CRcs.LGarXiv:2106.09898v22021
In-Edge AI: Intelligentizing Mobile Edge Computing, Caching and Communication by Federated Learning
Xiaofei Wang, Yiwen Han, Chenyang Wang +3
cs.NIcs.LGarXiv:1809.07857v22018
Towards Bayesian Deep Learning: A Framework and Some Existing Methods
Hao Wang, Dit-Yan Yeung
stat.MLcs.CVcs.LGarXiv:1608.06884v22016
Personalized Federated Learning via Variational Bayesian Inference
Xu Zhang, Yinchuan Li, Wenpeng Li +2
cs.LGarXiv:2206.07977v12022
Learning Models with Uniform Performance via Distributionally Robust Optimization
John Duchi, Hongseok Namkoong
stat.MLcs.LGarXiv:1810.08750v62018
Teaching PPG How not Who: Fixed-Effects Distillation from ECG
Zhongli Wu, Zhuangzhi Gao, Yuankai Wang +3
cs.LGarXiv:2610.10662v12026
Predicting Solar Flares Using a Long Short-Term Memory Network
Hao Liu, Chang Liu, Jason T. L. Wang +1
astro-ph.SRcs.LGarXiv:1905.07095v12019
Automatic Clipping: Differentially Private Deep Learning Made Easier and Stronger
Zhiqi Bu, Yu-Xiang Wang, Sheng Zha +1
cs.LGcs.CLcs.CRarXiv:2206.07136v32022
Optimal Algorithms for Continuous Non-monotone Submodular and DR-Submodular Maximization
Rad Niazadeh, Tim Roughgarden, Joshua R. Wang
cs.DScs.GTcs.LGarXiv:1805.09480v12018
Neural Abstractive Text Summarization with Sequence-to-Sequence Models
Tian Shi, Yaser Keneshloo, Naren Ramakrishnan +1
cs.CLcs.LGstat.MLarXiv:1812.02303v42018
Modern Transformers Are Implicit Hybrids: From Functional Differentiation to Principled Hybrid Architecture Design
Runlin Shi, Bojian Yin, Guoqi Li
cs.LGarXiv:2609.02986v22026
Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning
Xiaoxin He, Xavier Bresson, Thomas Laurent +3
cs.LGarXiv:2305.19523v52023
On Convergence of FedProx: Local Dissimilarity Invariant Bounds, Non-smoothness and Beyond
Xiao-Tong Yuan, Ping Li
stat.MLcs.LGarXiv:2206.05187v12022
Self-Distilled Policy Gradient
Yifeng Liu, Shiyuan Zhang, Yifan Zhang +1
cs.LGarXiv:2606.04036v12026
Recurrent Self-Improvement: Dynamic Cross-Loop On-Policy Distillation for Looped Language Models
Yi Wang, Rui Qian, Yu Li +2
cs.LGcs.CLarXiv:2610.10623v12026
Deep Learning Based Text Classification: A Comprehensive Review
Shervin Minaee, Nal Kalchbrenner, Erik Cambria +3
cs.CLcs.LGstat.MLarXiv:2004.03705v32020
Data Scout: Targeted Web Crawling for Domain-Specific Pretraining Corpora
Chirag Garg, Eelaaf Zahid, Farhan Ahmed +3
cs.LGcs.AIarXiv:2609.05766v12026
Generalization in Reinforcement Learning with Selective Noise Injection and Information Bottleneck
Maximilian Igl, Kamil Ciosek, Yingzhen Li +4
cs.LGcs.AIstat.MLarXiv:1910.12911v12019
DIFUSCO: Graph-based Diffusion Solvers for Combinatorial Optimization
Zhiqing Sun, Yiming Yang
cs.LGarXiv:2302.08224v22023
Physics-Informed Neural Network Surrogate for Oxygen Vacancy Dynamics in epitaxial $\mathrm{SrTiO_3}$ on Si memristors via Dynamic Spectral Optimization
Rodion Podorozhny, Nikoleta Theodoropoulou, Jelena Tešić
cond-mat.mtrl-scics.LGarXiv:2609.02966v12026
PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs
Soroush Nasiriany, Fei Xia, Wenhao Yu +20
cs.ROcs.CLcs.CVarXiv:2402.07872v12024
Training Agents Inside of Scalable World Models
Danijar Hafner, Wilson Yan, Timothy Lillicrap
cs.AIcs.LGcs.ROarXiv:2509.24527v12025
Efficient Self-supervised Vision Transformers for Representation Learning
Chunyuan Li, Jianwei Yang, Pengchuan Zhang +5
cs.CVcs.AIcs.LGarXiv:2106.09785v22021
Unbiased Learning-to-Rank with Biased Feedback
Thorsten Joachims, Adith Swaminathan, Tobias Schnabel
cs.IRcs.LGarXiv:1608.04468v12016
Recent Advances for Quantum Neural Networks in Generative Learning
Jinkai Tian, Xiaoyu Sun, Yuxuan Du +11
quant-phcs.CVcs.LGarXiv:2206.03066v12022
Temporal transformer CAN encoder with federated lightweight heads for anomaly detection
Konstantinos Gyftodimos, Kyriakos Chiotis, Elena Politi +2
cs.LGcs.CRarXiv:2610.10613v12026
Variational Graph Recurrent Neural Networks
Ehsan Hajiramezanali, Arman Hasanzadeh, Nick Duffield +3
cs.LGstat.MLarXiv:1908.09710v32019
SSP: Semantic Space Projection for Knowledge Graph Embedding with Text Descriptions
Han Xiao, Minlie Huang, Xiaoyan Zhu
cs.CLcs.LGarXiv:1604.04835v32016
A Comprehensive Study of Knowledge Editing for Large Language Models
Ningyu Zhang, Yunzhi Yao, Bozhong Tian +19
cs.CLcs.AIcs.CVarXiv:2401.01286v52024
Measures of Entropy from Data Using Infinitely Divisible Kernels
Luis G. Sanchez Giraldo, Murali Rao, Jose C. Principe
cs.LGcs.ITstat.MLarXiv:1211.2459v32012
Privacy Loss in Apple's Implementation of Differential Privacy on MacOS 10.12
Jun Tang, Aleksandra Korolova, Xiaolong Bai +2
cs.CRcs.CYcs.LGarXiv:1709.02753v22017
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi, Fred Morstatter, Nripsuta Saxena +2
cs.LGarXiv:1908.09635v32019
Aligning Agentic World Models via Knowledgeable Experience Learning
Baochang Ren, Yunzhi Yao, Rui Sun +3
cs.CLcs.AIcs.CVarXiv:2601.13247v12026
Capability-Gated Language Models: Security Composes, Utility Does Not
Patrikas Vanagas, Augustas Mačijauskas, Laurynas Lopata
cs.CRcs.AIcs.LGarXiv:2609.00445v12026
General Performance Guarantee for Human Torque Estimation-Based Task-Agnostic Assistive Exoskeleton Control
Duy Hoang, Bastien Berret, Olivier Bruneau +1
cs.ROcs.LGcs.SYarXiv:2609.39558v12026
Learning from Your Own Mistakes: Constructing Learnable Micro-Reflective Trajectories for Self-Distillation
Zhilin Huang, Hang Gao, Ziqiang Dong +6
cs.LGarXiv:2606.18844v12026
Remember the Past: Distilling Datasets into Addressable Memories for Neural Networks
Zhiwei Deng, Olga Russakovsky
cs.LGcs.AIcs.CVarXiv:2206.02916v22022
Continually Post-training Small Models via Synthetic Self-distillation
Woosung Koh, Hyunsoo Lee, Kyungjae Lee +4
cs.LGcs.AIarXiv:2610.13113v12026
Neural Arabic Question Answering
Hussein Mozannar, Karl El Hajal, Elie Maamary +1
cs.CLcs.LGarXiv:1906.05394v12019
Verified Uncertainty Calibration
Ananya Kumar, Percy Liang, Tengyu Ma
cs.LGstat.MLarXiv:1909.10155v22019
A Comprehensive Survey on Long Context Language Modeling
Jiaheng Liu, Dawei Zhu, Zhiqi Bai +34
cs.CLcs.LGarXiv:2503.17407v22025
Denoising Adversarial Autoencoders
Antonia Creswell, Anil Anthony Bharath
cs.CVcs.LGstat.MLarXiv:1703.01220v42017

Machine Learning

DeepTopoClustering: Unsupervised Derivation of Surface Process Taxonomy from 4D Point Clouds for Topographic Monitoring

Local Maxima in the Likelihood of Gaussian Mixture Models: Structural Results and Algorithmic Consequences

NEMORA: Neural Equivariant Multipole Operators for Long-Range Atomistic Learning

Can Generalist Agents Automate Data Curation?

Draft, Sketch, and Prove: Guiding Formal Theorem Provers with Informal Proofs

Efficient Diffusion Policies for Offline Reinforcement Learning

Hardware-aware training for large-scale and diverse deep learning inference workloads using in-memory computing-based accelerators

Lazier Than Lazy Greedy

On the Importance and Applicability of Pre-Training for Federated Learning

ObserverBench: Testing Mechanistic Estimates for Intervention and Control

Evaluation of Session-based Recommendation Algorithms

A Systematic Literature Review on the Use of Deep Learning in Software Engineering Research

From Sentiment Classification to Actionable and Responsible Feedback: A Scoping Review and Evidence Map of NLP in Student Evaluation of Teaching, 2015-2026

Can LLMs Use Relational Transformer Embeddings?

Conversational Task Disambiguation over Tabular Data: Leakage-Aware Formulation, Benchmark Suite, and Training

Densely Connected Convolutional Networks

Neural Scene Representation for Locomotion on Structured Terrain

Think in Latent, Explain in Language: Self-Explainable Latent Reasoning

Bad Characters: Imperceptible NLP Attacks

In-Edge AI: Intelligentizing Mobile Edge Computing, Caching and Communication by Federated Learning

Towards Bayesian Deep Learning: A Framework and Some Existing Methods

Personalized Federated Learning via Variational Bayesian Inference

Learning Models with Uniform Performance via Distributionally Robust Optimization

Teaching PPG How not Who: Fixed-Effects Distillation from ECG

Predicting Solar Flares Using a Long Short-Term Memory Network

Automatic Clipping: Differentially Private Deep Learning Made Easier and Stronger

Optimal Algorithms for Continuous Non-monotone Submodular and DR-Submodular Maximization

Neural Abstractive Text Summarization with Sequence-to-Sequence Models

Modern Transformers Are Implicit Hybrids: From Functional Differentiation to Principled Hybrid Architecture Design

Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning

On Convergence of FedProx: Local Dissimilarity Invariant Bounds, Non-smoothness and Beyond

Self-Distilled Policy Gradient

Recurrent Self-Improvement: Dynamic Cross-Loop On-Policy Distillation for Looped Language Models

Deep Learning Based Text Classification: A Comprehensive Review

Data Scout: Targeted Web Crawling for Domain-Specific Pretraining Corpora

Generalization in Reinforcement Learning with Selective Noise Injection and Information Bottleneck

DIFUSCO: Graph-based Diffusion Solvers for Combinatorial Optimization

Physics-Informed Neural Network Surrogate for Oxygen Vacancy Dynamics in epitaxial $\mathrm{SrTiO_3}$ on Si memristors via Dynamic Spectral Optimization

PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs

Training Agents Inside of Scalable World Models

Efficient Self-supervised Vision Transformers for Representation Learning

Unbiased Learning-to-Rank with Biased Feedback

Recent Advances for Quantum Neural Networks in Generative Learning

Temporal transformer CAN encoder with federated lightweight heads for anomaly detection

Variational Graph Recurrent Neural Networks

SSP: Semantic Space Projection for Knowledge Graph Embedding with Text Descriptions

A Comprehensive Study of Knowledge Editing for Large Language Models

Measures of Entropy from Data Using Infinitely Divisible Kernels

Privacy Loss in Apple's Implementation of Differential Privacy on MacOS 10.12

A Survey on Bias and Fairness in Machine Learning

Aligning Agentic World Models via Knowledgeable Experience Learning

Capability-Gated Language Models: Security Composes, Utility Does Not

General Performance Guarantee for Human Torque Estimation-Based Task-Agnostic Assistive Exoskeleton Control

Learning from Your Own Mistakes: Constructing Learnable Micro-Reflective Trajectories for Self-Distillation

Remember the Past: Distilling Datasets into Addressable Memories for Neural Networks

Continually Post-training Small Models via Synthetic Self-distillation

Neural Arabic Question Answering

Verified Uncertainty Calibration

A Comprehensive Survey on Long Context Language Modeling

Denoising Adversarial Autoencoders