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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20,821 to 20,880 of 33,150

A JoLT for the KV cache: Near-Lossless KV Cache Compression via Joint Rank-bit Allocation
Rahul Krishnan, Volker Schulz
cs.LGcs.CLmath.OCarXiv:2607.12550v42026
Conditional Diffusion Models for Semantic 3D Brain MRI Synthesis
Zolnamar Dorjsembe, Hsing-Kuo Pao, Sodtavilan Odonchimed +1
eess.IVcs.CVcs.LGarXiv:2305.18453v52023
The Geometry of Sequential Learning: Lie-Bracket Prediction of Transfer Order
John Sweeney
cs.LGarXiv:2606.24993v12026
Modeling Tabular data using Conditional GAN
Lei Xu, Maria Skoularidou, Alfredo Cuesta-Infante +1
cs.LGstat.MLarXiv:1907.00503v22019
Reviving and Improving Recurrent Back-Propagation
Renjie Liao, Yuwen Xiong, Ethan Fetaya +5
cs.LGstat.MLarXiv:1803.06396v42018
Inductive Biases in Field-Level Cosmological Inference from Galaxy Catalogs
James O. Baldwin, Shy Genel, Francisco Villaescusa-Navarro
astro-ph.COcs.LGarXiv:2609.09504v12026
Adaptive Bound Optimization for Online Convex Optimization
H. Brendan McMahan, Matthew Streeter
cs.LGarXiv:1002.4908v22010
Parameterized and Streaming Algorithms for Euclidean Fair $k$-Center Clustering
Zeyu Lin, Chaoqi Jia, Longkun Guo +1
cs.LGcs.AIarXiv:2609.06384v12026
Self-Supervised Policy Adaptation during Deployment
Nicklas Hansen, Rishabh Jangir, Yu Sun +5
cs.LGcs.CVcs.ROarXiv:2007.04309v32020
Residual Networks Behave Like Ensembles of Relatively Shallow Networks
Andreas Veit, Michael Wilber, Serge Belongie
cs.CVcs.AIcs.LGarXiv:1605.06431v22016
The BOSARIS Toolkit: Theory, Algorithms and Code for Surviving the New DCF
Niko Brümmer, Edward de Villiers
stat.APcs.LGstat.MLarXiv:1304.2865v12013
DeepPicker: a Deep Learning Approach for Fully Automated Particle Picking in Cryo-EM
Feng Wang, Huichao Gong, Gaochao liu +5
q-bio.QMcs.LGarXiv:1605.01838v12016
On the disintegration of the stochastic majority vote: From PAC-Bayesian bounds to a self-bounding algorithm
Julien Bastian, Benjamin Leblanc, Pascal Germain +4
stat.MLcs.LGarXiv:2609.16803v12026
Sentiment Analysis Based on Deep Learning: A Comparative Study
Nhan Cach Dang, María N. Moreno-García, Fernando De la Prieta
cs.CLcs.IRcs.LGarXiv:2006.03541v12020
Continual Learning for Robotics: Definition, Framework, Learning Strategies, Opportunities and Challenges
Timothée Lesort, Vincenzo Lomonaco, Andrei Stoian +3
cs.LGcs.ROarXiv:1907.00182v32019
Locally Scale-Invariant Convolutional Neural Networks
Angjoo Kanazawa, Abhishek Sharma, David Jacobs
cs.CVcs.LGcs.NEarXiv:1412.5104v12014
Gradient descent GAN optimization is locally stable
Vaishnavh Nagarajan, J. Zico Kolter
cs.LGcs.AImath.OCarXiv:1706.04156v32017
Evaluating Real-World Robot Manipulation Policies in Simulation
Xuanlin Li, Kyle Hsu, Jiayuan Gu +13
cs.ROcs.CVcs.LGarXiv:2405.05941v12024
What is Missing from AI Post-Training AI: An Empirical Analysis
Joy Jia Yin Lim, Xin Huang, Hao Peng +5
cs.AIcs.CLcs.LGarXiv:2608.19072v12026
Medical Concept Representation Learning from Electronic Health Records and its Application on Heart Failure Prediction
Edward Choi, Andy Schuetz, Walter F. Stewart +1
cs.LGcs.NEarXiv:1602.03686v22016
Universal Source-Free Domain Adaptation
Jogendra Nath Kundu, Naveen Venkat, Rahul M +1
cs.CVcs.LGarXiv:2004.04393v12020
Transform-Invariant Generative Ray Path Sampling for Efficient Radio Propagation Modeling
Jérome Eertmans, Enrico M. Vitucci, Vittorio Degli-Esposti +3
cs.LGeess.SParXiv:2603.01655v22026
Matrix Aggregation Operators
Inmaculada Gutiérrez, Asier Urio-Larrea, J. Tinguaro Rodríguez +3
stat.MLcs.LGarXiv:2609.28562v12026
Finding and using interpretable latents in a neutrino foundation model with sparse autoencoders
Raphaël Bonnet-Guerrini, Johann Ioannou-Nikolaides, Inar Timiryasov +1
astro-ph.HEcs.AIcs.LGarXiv:2608.26090v12026
Advancing Multimodal Reasoning: From Optimized Cold Start to Staged Reinforcement Learning
Shuang Chen, Yue Guo, Zhaochen Su +7
cs.LGcs.AIcs.CLarXiv:2506.04207v22025
Claudini: Autoresearch Discovers State-of-the-Art Adversarial Attack Algorithms for LLMs
Alexander Panfilov, Peter Romov, Igor Shilov +3
cs.LGcs.AIcs.CRarXiv:2603.24511v22026
HART: Hybrid Attention-RWKV Time series Foundation Model
Qingwen Lin, Boyan Xu, Shifeng Xie +3
cs.LGarXiv:2610.12883v12026
SoK: Machine Unlearning for Large Language Models
Jie Ren, Yue Xing, Yingqian Cui +2
cs.LGcs.CRarXiv:2506.09227v12025
Generalization Properties and Implicit Regularization for Multiple Passes SGM
Junhong Lin, Raffaello Camoriano, Lorenzo Rosasco
cs.LGstat.MLarXiv:1605.08375v12016
Parametric generation of conditional geological realizations using generative neural networks
Shing Chan, Ahmed H. Elsheikh
stat.MLcs.LGphysics.comp-pharXiv:1807.05207v22018
Beyond Field Accuracy: Two-Axis Diagnosis of Inverse-PINN Parameter Error
Yifan Zhang, Qian Tao
cs.LGmath.NAarXiv:2608.15373v12026
Align then Fusion: Generalized Large-scale Multi-view Clustering with Anchor Matching Correspondences
Siwei Wang, Xinwang Liu, Suyuan Liu +4
cs.LGarXiv:2205.15075v22022
On Identifiability in Transformers
Gino Brunner, Yang Liu, Damián Pascual +3
cs.CLcs.LGarXiv:1908.04211v42019
PORTool: Importance-Aware Policy Optimization with Rewarded Tree for Multi-Tool-Integrated Reasoning
Feijie Wu, Weiwu Zhu, Yuxiang Zhang +5
cs.CLcs.AIcs.LGarXiv:2510.26020v22025
On-line Building Energy Optimization using Deep Reinforcement Learning
Elena Mocanu, Decebal Constantin Mocanu, Phuong H. Nguyen +4
cs.LGcs.AImath.OCarXiv:1707.05878v12017
Vidur: A Large-Scale Simulation Framework For LLM Inference
Amey Agrawal, Nitin Kedia, Jayashree Mohan +5
cs.LGcs.AIcs.CLarXiv:2405.05465v22024
Benign Overfitting in Linear Regression
Peter L. Bartlett, Philip M. Long, Gábor Lugosi +1
stat.MLcs.LGmath.STarXiv:1906.11300v32019
Multiscale Deep Equilibrium Models
Shaojie Bai, Vladlen Koltun, J. Zico Kolter
cs.LGcs.CVstat.MLarXiv:2006.08656v22020
Proximal Algorithms in Statistics and Machine Learning
Nicholas G. Polson, James G. Scott, Brandon T. Willard
stat.MLcs.LGstat.MEarXiv:1502.03175v32015
A unified sparse optimization framework to learn parsimonious physics-informed models from data
Kathleen Champion, Peng Zheng, Aleksandr Y. Aravkin +2
physics.comp-phcs.LGarXiv:1906.10612v22019
Communication-Computation Trade-Off in Resource-Constrained Edge Inference
Jiawei Shao, Jun Zhang
cs.LGeess.SPstat.MLarXiv:2006.02166v22020
STAR-FL: Secure Federated Learning with Spatial-Temporal Analysis and Robust Aggregation
Nawrin Tabassum, Yanzhao Wu
cs.CRcs.LGarXiv:2608.14861v12026
Deep Learning Techniques for Music Generation -- A Survey
Jean-Pierre Briot, Gaëtan Hadjeres, François-David Pachet
cs.SDcs.LGarXiv:1709.01620v42017
Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling
Keyu Tian, Yi Jiang, Qishuai Diao +3
cs.CVcs.AIcs.LGarXiv:2301.03580v22023
Universal Successor Features Approximators
Diana Borsa, André Barreto, John Quan +5
cs.LGcs.AIstat.MLarXiv:1812.07626v12018
Interactive Benchmarks
Baoqing Yue, Zihan Zhu, Yutong Han +6
cs.AIcs.CLcs.LGarXiv:2603.04737v42026
Diffuse and Disperse: Image Generation with Representation Regularization
Runqian Wang, Kaiming He
cs.CVcs.AIcs.LGarXiv:2506.09027v22025
Smaller Models, Better Rejects: Preference Distillation Scaling
Rui Cai, Wenhui Zhu, Xiwen Chen +15
cs.LGarXiv:2609.38987v12026
Deep Leakage from Gradients
Ligeng Zhu, Zhijian Liu, Song Han
cs.LGcs.CRstat.MLarXiv:1906.08935v22019
Evaluating Very Long-Term Conversational Memory of LLM Agents
Adyasha Maharana, Dong-Ho Lee, Sergey Tulyakov +3
cs.CLcs.AIcs.LGarXiv:2402.17753v12024
MAGE: A Multi-Agent Engine for Automated RTL Code Generation
Yujie Zhao, Hejia Zhang, Hanxian Huang +2
cs.ARcs.LGarXiv:2412.07822v12024
Towards Biologically Plausible Deep Learning
Yoshua Bengio, Dong-Hyun Lee, Jorg Bornschein +2
cs.LGarXiv:1502.04156v32015
Variational Approaches for Auto-Encoding Generative Adversarial Networks
Mihaela Rosca, Balaji Lakshminarayanan, David Warde-Farley +1
stat.MLcs.LGarXiv:1706.04987v22017
SkillOpt-Lite: Better and Faster Agent Self-evolution via One Line of Vibe
Yifei Shen, Bo Li, Xinjie Zhang
cs.SEcs.AIcs.LGarXiv:2607.03451v12026
A Review of Cooperative Multi-Agent Deep Reinforcement Learning
Afshin OroojlooyJadid, Davood Hajinezhad
cs.LGcs.AIcs.MAarXiv:1908.03963v42019
An Algorithmic Perspective on Imitation Learning
Takayuki Osa, Joni Pajarinen, Gerhard Neumann +3
cs.ROcs.LGarXiv:1811.06711v12018
Limitations of Lazy Training of Two-layers Neural Networks
Behrooz Ghorbani, Song Mei, Theodor Misiakiewicz +1
stat.MLcs.LGmath.STarXiv:1906.08899v12019
Vidu S1: A Real-Time Interactive Video Generation Model
Jintao Zhang, Kai Jiang, Jintao Chen +24
cs.CVcs.LGarXiv:2607.03118v22026
Generative Agents: Interactive Simulacra of Human Behavior
Joon Sung Park, Joseph C. O'Brien, Carrie J. Cai +3
cs.HCcs.AIcs.LGarXiv:2304.03442v22023
LongStraw: Long-Context RL Beyond 2M Tokens under a Fixed GPU Budget
Changhai Zhou, Kieran Liu, Yuhua Zhou +17
cs.LGcs.DCarXiv:2607.14952v12026

Machine Learning

A JoLT for the KV cache: Near-Lossless KV Cache Compression via Joint Rank-bit Allocation

Conditional Diffusion Models for Semantic 3D Brain MRI Synthesis

The Geometry of Sequential Learning: Lie-Bracket Prediction of Transfer Order

Modeling Tabular data using Conditional GAN

Reviving and Improving Recurrent Back-Propagation

Inductive Biases in Field-Level Cosmological Inference from Galaxy Catalogs

Adaptive Bound Optimization for Online Convex Optimization

Parameterized and Streaming Algorithms for Euclidean Fair $k$-Center Clustering

Self-Supervised Policy Adaptation during Deployment

Residual Networks Behave Like Ensembles of Relatively Shallow Networks

The BOSARIS Toolkit: Theory, Algorithms and Code for Surviving the New DCF

DeepPicker: a Deep Learning Approach for Fully Automated Particle Picking in Cryo-EM

On the disintegration of the stochastic majority vote: From PAC-Bayesian bounds to a self-bounding algorithm

Sentiment Analysis Based on Deep Learning: A Comparative Study

Continual Learning for Robotics: Definition, Framework, Learning Strategies, Opportunities and Challenges

Locally Scale-Invariant Convolutional Neural Networks

Gradient descent GAN optimization is locally stable

Evaluating Real-World Robot Manipulation Policies in Simulation

What is Missing from AI Post-Training AI: An Empirical Analysis

Medical Concept Representation Learning from Electronic Health Records and its Application on Heart Failure Prediction

Universal Source-Free Domain Adaptation

Transform-Invariant Generative Ray Path Sampling for Efficient Radio Propagation Modeling

Matrix Aggregation Operators

Finding and using interpretable latents in a neutrino foundation model with sparse autoencoders

Advancing Multimodal Reasoning: From Optimized Cold Start to Staged Reinforcement Learning

Claudini: Autoresearch Discovers State-of-the-Art Adversarial Attack Algorithms for LLMs

HART: Hybrid Attention-RWKV Time series Foundation Model

SoK: Machine Unlearning for Large Language Models

Generalization Properties and Implicit Regularization for Multiple Passes SGM

Parametric generation of conditional geological realizations using generative neural networks

Beyond Field Accuracy: Two-Axis Diagnosis of Inverse-PINN Parameter Error

Align then Fusion: Generalized Large-scale Multi-view Clustering with Anchor Matching Correspondences

On Identifiability in Transformers

PORTool: Importance-Aware Policy Optimization with Rewarded Tree for Multi-Tool-Integrated Reasoning

On-line Building Energy Optimization using Deep Reinforcement Learning

Vidur: A Large-Scale Simulation Framework For LLM Inference

Benign Overfitting in Linear Regression

Multiscale Deep Equilibrium Models

Proximal Algorithms in Statistics and Machine Learning

A unified sparse optimization framework to learn parsimonious physics-informed models from data

Communication-Computation Trade-Off in Resource-Constrained Edge Inference

STAR-FL: Secure Federated Learning with Spatial-Temporal Analysis and Robust Aggregation

Deep Learning Techniques for Music Generation -- A Survey

Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling

Universal Successor Features Approximators

Interactive Benchmarks

Diffuse and Disperse: Image Generation with Representation Regularization

Smaller Models, Better Rejects: Preference Distillation Scaling

Deep Leakage from Gradients

Evaluating Very Long-Term Conversational Memory of LLM Agents

MAGE: A Multi-Agent Engine for Automated RTL Code Generation

Towards Biologically Plausible Deep Learning

Variational Approaches for Auto-Encoding Generative Adversarial Networks

SkillOpt-Lite: Better and Faster Agent Self-evolution via One Line of Vibe

A Review of Cooperative Multi-Agent Deep Reinforcement Learning

An Algorithmic Perspective on Imitation Learning

Limitations of Lazy Training of Two-layers Neural Networks

Vidu S1: A Real-Time Interactive Video Generation Model

Generative Agents: Interactive Simulacra of Human Behavior

LongStraw: Long-Context RL Beyond 2M Tokens under a Fixed GPU Budget