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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1,441 to 1,500 of 20,454

LaPred: Lane-Aware Prediction of Multi-Modal Future Trajectories of Dynamic Agents
ByeoungDo Kim, Seong Hyeon Park, Seokhwan Lee +5
cs.CVcs.LGarXiv:2104.00249v12021
MoReBench: Evaluating Procedural and Pluralistic Moral Reasoning in Language Models, More than Outcomes
Yu Ying Chiu, Michael S. Lee, Rachel Calcott +17
cs.CLcs.AIcs.CYarXiv:2510.16380v22025
Remote Labor Index: Measuring AI Automation of Remote Work
Mantas Mazeika, Alice Gatti, Cristina Menghini +44
cs.LGcs.AIcs.CLarXiv:2510.26787v12025
VC Classes are Adversarially Robustly Learnable, but Only Improperly
Omar Montasser, Steve Hanneke, Nathan Srebro
cs.LGstat.MLarXiv:1902.04217v22019
Learning Unmasking Policies for Diffusion Language Models
Metod Jazbec, Theo X. Olausson, Louis Béthune +6
cs.LGarXiv:2512.09106v42025
pi-Flow: Policy-Based Few-Step Generation via Imitation Distillation
Hansheng Chen, Kai Zhang, Hao Tan +3
cs.LGcs.AIcs.CVarXiv:2510.14974v32025
OlmoEarth: Stable Latent Image Modeling for Multimodal Earth Observation
Henry Herzog, Favyen Bastani, Yawen Zhang +23
cs.CVcs.LGarXiv:2511.13655v12025
A PAC-Bayesian Tutorial with A Dropout Bound
David McAllester
cs.LGarXiv:1307.2118v12013
Building a Foundational Guardrail for General Agentic Systems via Synthetic Data
Yue Huang, Hang Hua, Yujun Zhou +11
cs.LGcs.AIcs.CLarXiv:2510.09781v12025
Skeleton Image Representation for 3D Action Recognition based on Tree Structure and Reference Joints
Carlos Caetano, François Brémond, William Robson Schwartz
cs.CVcs.LGarXiv:1909.05704v12019
Scaling Behavior of Discrete Diffusion Language Models
Dimitri von Rütte, Janis Fluri, Omead Pooladzandi +3
cs.LGarXiv:2512.10858v32025
TreeGRPO: Tree-Advantage GRPO for Online RL Post-Training of Diffusion Models
Zheng Ding, Weirui Ye
cs.LGcs.AIcs.CVarXiv:2512.08153v12025
Uniqueness of Low-Rank Matrix Completion by Rigidity Theory
Amit Singer, Mihai Cucuringu
cs.LGarXiv:0902.3846v12009
Multi-Scale Dense Networks for Resource Efficient Image Classification
Gao Huang, Danlu Chen, Tianhong Li +3
cs.LGarXiv:1703.09844v52017
Parsimonious Black-Box Adversarial Attacks via Efficient Combinatorial Optimization
Seungyong Moon, Gaon An, Hyun Oh Song
cs.LGcs.CRcs.CVarXiv:1905.06635v22019
On the Relation Between the Sharpest Directions of DNN Loss and the SGD Step Length
Stanisław Jastrzębski, Zachary Kenton, Nicolas Ballas +3
stat.MLcs.LGarXiv:1807.05031v62018
State-Relabeling Adversarial Active Learning
Beichen Zhang, Liang Li, Shijie Yang +3
cs.CVcs.LGarXiv:2004.04943v12020
Attention Is All You Need for KV Cache in Diffusion LLMs
Quan Nguyen-Tri, Mukul Ranjan, Zhiqiang Shen
cs.CLcs.AIcs.LGarXiv:2510.14973v22025
LongCat-Flash-Omni Technical Report
Meituan LongCat Team, Bairui Wang, Bayan +130
cs.MMcs.AIcs.CLarXiv:2511.00279v22025
KeyPose: Multi-View 3D Labeling and Keypoint Estimation for Transparent Objects
Xingyu Liu, Rico Jonschkowski, Anelia Angelova +1
cs.CVcs.LGcs.ROarXiv:1912.02805v22019
PAN: A World Model for General, Actionable, and Long-Horizon World Simulation
PAN Team, Zihan Liu, Yi Gu +12
cs.CVcs.AIcs.CLarXiv:2511.09057v42025
See, Point, Fly: A Learning-Free VLM Framework for Universal Unmanned Aerial Navigation
Chih Yao Hu, Yang-Sen Lin, Yuna Lee +7
cs.ROcs.AIcs.CLarXiv:2509.22653v12025
Semi-Implicit Variational Inference
Mingzhang Yin, Mingyuan Zhou
stat.MLcs.LGstat.COarXiv:1805.11183v12018
Defending Against Physically Realizable Attacks on Image Classification
Tong Wu, Liang Tong, Yevgeniy Vorobeychik
cs.LGcs.AIcs.CVarXiv:1909.09552v22019
Frequentist Regret Bounds for Randomized Least-Squares Value Iteration
Andrea Zanette, David Brandfonbrener, Emma Brunskill +2
cs.LGstat.MLarXiv:1911.00567v72019
Learning Latent Space Energy-Based Prior Model
Bo Pang, Tian Han, Erik Nijkamp +2
stat.MLcs.LGarXiv:2006.08205v22020
Tongyi DeepResearch Technical Report
Tongyi DeepResearch Team, Baixuan Li, Bo Zhang +54
cs.CLcs.AIcs.IRarXiv:2510.24701v32025
An optimal algorithm for the Thresholding Bandit Problem
Andrea Locatelli, Maurilio Gutzeit, Alexandra Carpentier
stat.MLcs.LGarXiv:1605.08671v12016
GIANT: Globally Improved Approximate Newton Method for Distributed Optimization
Shusen Wang, Farbod Roosta-Khorasani, Peng Xu +1
cs.LGcs.DCmath.OCarXiv:1709.03528v52017
Teaching Pretrained Language Models to Think Deeper with Retrofitted Recurrence
Sean McLeish, Ang Li, John Kirchenbauer +7
cs.CLcs.AIcs.LGarXiv:2511.07384v12025
ICE-BeeM: Identifiable Conditional Energy-Based Deep Models Based on Nonlinear ICA
Ilyes Khemakhem, Ricardo Pio Monti, Diederik P. Kingma +1
stat.MLcs.LGarXiv:2002.11537v42020
Online Convex Optimization in Adversarial Markov Decision Processes
Aviv Rosenberg, Yishay Mansour
cs.LGcs.AIstat.MLarXiv:1905.07773v12019
Training AI Co-Scientists Using Rubric Rewards
Shashwat Goel, Rishi Hazra, Dulhan Jayalath +8
cs.LGcs.CLcs.HCarXiv:2512.23707v12025
Agentic Entropy-Balanced Policy Optimization
Guanting Dong, Licheng Bao, Zhongyuan Wang +11
cs.LGcs.AIcs.CLarXiv:2510.14545v12025
Efficient-DLM: From Autoregressive to Diffusion Language Models, and Beyond in Speed
Yonggan Fu, Lexington Whalen, Zhifan Ye +11
cs.CLcs.AIcs.LGarXiv:2512.14067v22025
Guided Self-Evolving LLMs with Minimal Human Supervision
Wenhao Yu, Zhenwen Liang, Chengsong Huang +4
cs.AIcs.CLcs.LGarXiv:2512.02472v12025
Efficient Reinforcement Learning Using Recursive Least-Squares Methods
H. He, D. Hu, X. Xu
cs.LGcs.AIarXiv:1106.0707v12011
Does FLUX Already Know How to Perform Physically Plausible Image Composition?
Shilin Lu, Zhuming Lian, Zihan Zhou +3
cs.CVcs.AIcs.LGarXiv:2509.21278v42025
Evolution Strategies at Scale: LLM Fine-Tuning Beyond Reinforcement Learning
Xin Qiu, Yulu Gan, Conor F. Hayes +6
cs.LGcs.AIcs.NEarXiv:2509.24372v32025
VCRL: Variance-based Curriculum Reinforcement Learning for Large Language Models
Guochao Jiang, Wenfeng Feng, Guofeng Quan +4
cs.LGcs.CLarXiv:2509.19803v12025
Search Self-play: Pushing the Frontier of Agent Capability without Supervision
Hongliang Lu, Yuhang Wen, Pengyu Cheng +7
cs.LGarXiv:2510.18821v32025
Multi-view Vector-valued Manifold Regularization for Multi-label Image Classification
Yong Luo, Dacheng Tao, Chang Xu +3
stat.MLcs.CVcs.LGarXiv:1904.03921v12019
Don't Blind Your VLA: Aligning Visual Representations for OOD Generalization
Nikita Kachaev, Mikhail Kolosov, Daniil Zelezetsky +2
cs.LGcs.AIcs.ROarXiv:2510.25616v12025
SimpleFold: Folding Proteins is Simpler than You Think
Yuyang Wang, Jiarui Lu, Navdeep Jaitly +2
cs.LGq-bio.QMarXiv:2509.18480v42025
Deep Residual Learning in the JPEG Transform Domain
Max Ehrlich, Larry Davis
cs.LGcs.CVstat.MLarXiv:1812.11690v32018
A Review of the Gumbel-max Trick and its Extensions for Discrete Stochasticity in Machine Learning
Iris A. M. Huijben, Wouter Kool, Max B. Paulus +1
cs.LGstat.MLarXiv:2110.01515v22021
Information Gain-based Policy Optimization: A Simple and Effective Approach for Multi-Turn Search Agents
Guoqing Wang, Sunhao Dai, Guangze Ye +5
cs.CLcs.AIcs.LGarXiv:2510.14967v22025
Stable Gaussian Process based Tracking Control of Euler-Lagrange Systems
Thomas Beckers, Dana Kulić, Sandra Hirche
cs.LGeess.SYstat.MLarXiv:1806.07190v22018
DragFlow: Unleashing DiT Priors with Region Based Supervision for Drag Editing
Zihan Zhou, Shilin Lu, Shuli Leng +4
cs.CVcs.AIcs.LGarXiv:2510.02253v32025
Algorithms for Dynamic Spectrum Access with Learning for Cognitive Radio
Jayakrishnan Unnikrishnan, Venugopal Veeravalli
cs.NIcs.LGarXiv:0807.2677v42008
Nemotron-Cascade: Scaling Cascaded Reinforcement Learning for General-Purpose Reasoning Models
Boxin Wang, Chankyu Lee, Nayeon Lee +9
cs.CLcs.AIcs.LGarXiv:2512.13607v22025
ToolOrchestra: Elevating Intelligence via Efficient Model and Tool Orchestration
Hongjin Su, Shizhe Diao, Ximing Lu +13
cs.CLcs.AIcs.LGarXiv:2511.21689v12025
RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments
Zhiyuan Zeng, Hamish Ivison, Yiping Wang +14
cs.CLcs.LGarXiv:2511.07317v22025
Eliciting Secret Knowledge from Language Models
Bartosz Cywiński, Emil Ryd, Rowan Wang +4
cs.LGarXiv:2510.01070v22025
Patient2Vec: A Personalized Interpretable Deep Representation of the Longitudinal Electronic Health Record
Jinghe Zhang, Kamran Kowsari, James H. Harrison +2
q-bio.QMcs.AIcs.IRarXiv:1810.04793v32018
Decision Trees for Decision-Making under the Predict-then-Optimize Framework
Adam N. Elmachtoub, Jason Cheuk Nam Liang, Ryan McNellis
cs.LGmath.OCstat.MLarXiv:2003.00360v22020
LFM2 Technical Report
Alexander Amini, Anna Banaszak, Harold Benoit +30
cs.LGcs.AIarXiv:2511.23404v12025
Kalman Filtering with Intermittent Observations: Weak Convergence to a Stationary Distribution
Soummya Kar, Bruno Sinopoli, Jose M. F. Moura
cs.ITcs.LGmath.STarXiv:0903.2890v22009
FlowRL: Matching Reward Distributions for LLM Reasoning
Xuekai Zhu, Daixuan Cheng, Dinghuai Zhang +20
cs.LGcs.AIcs.CLarXiv:2509.15207v32025
Monotonic Calibrated Interpolated Look-Up Tables
Maya Gupta, Andrew Cotter, Jan Pfeifer +5
cs.LGarXiv:1505.06378v32015

Machine Learning

LaPred: Lane-Aware Prediction of Multi-Modal Future Trajectories of Dynamic Agents

MoReBench: Evaluating Procedural and Pluralistic Moral Reasoning in Language Models, More than Outcomes

Remote Labor Index: Measuring AI Automation of Remote Work

VC Classes are Adversarially Robustly Learnable, but Only Improperly

Learning Unmasking Policies for Diffusion Language Models

pi-Flow: Policy-Based Few-Step Generation via Imitation Distillation

OlmoEarth: Stable Latent Image Modeling for Multimodal Earth Observation

A PAC-Bayesian Tutorial with A Dropout Bound

Building a Foundational Guardrail for General Agentic Systems via Synthetic Data

Skeleton Image Representation for 3D Action Recognition based on Tree Structure and Reference Joints

Scaling Behavior of Discrete Diffusion Language Models

TreeGRPO: Tree-Advantage GRPO for Online RL Post-Training of Diffusion Models

Uniqueness of Low-Rank Matrix Completion by Rigidity Theory

Multi-Scale Dense Networks for Resource Efficient Image Classification

Parsimonious Black-Box Adversarial Attacks via Efficient Combinatorial Optimization

On the Relation Between the Sharpest Directions of DNN Loss and the SGD Step Length

State-Relabeling Adversarial Active Learning

Attention Is All You Need for KV Cache in Diffusion LLMs

LongCat-Flash-Omni Technical Report

KeyPose: Multi-View 3D Labeling and Keypoint Estimation for Transparent Objects

PAN: A World Model for General, Actionable, and Long-Horizon World Simulation

See, Point, Fly: A Learning-Free VLM Framework for Universal Unmanned Aerial Navigation

Semi-Implicit Variational Inference

Defending Against Physically Realizable Attacks on Image Classification

Frequentist Regret Bounds for Randomized Least-Squares Value Iteration

Learning Latent Space Energy-Based Prior Model

Tongyi DeepResearch Technical Report

An optimal algorithm for the Thresholding Bandit Problem

GIANT: Globally Improved Approximate Newton Method for Distributed Optimization

Teaching Pretrained Language Models to Think Deeper with Retrofitted Recurrence

ICE-BeeM: Identifiable Conditional Energy-Based Deep Models Based on Nonlinear ICA

Online Convex Optimization in Adversarial Markov Decision Processes

Training AI Co-Scientists Using Rubric Rewards

Agentic Entropy-Balanced Policy Optimization

Efficient-DLM: From Autoregressive to Diffusion Language Models, and Beyond in Speed

Guided Self-Evolving LLMs with Minimal Human Supervision

Efficient Reinforcement Learning Using Recursive Least-Squares Methods

Does FLUX Already Know How to Perform Physically Plausible Image Composition?

Evolution Strategies at Scale: LLM Fine-Tuning Beyond Reinforcement Learning

VCRL: Variance-based Curriculum Reinforcement Learning for Large Language Models

Search Self-play: Pushing the Frontier of Agent Capability without Supervision

Multi-view Vector-valued Manifold Regularization for Multi-label Image Classification

Don't Blind Your VLA: Aligning Visual Representations for OOD Generalization

SimpleFold: Folding Proteins is Simpler than You Think

Deep Residual Learning in the JPEG Transform Domain

A Review of the Gumbel-max Trick and its Extensions for Discrete Stochasticity in Machine Learning

Information Gain-based Policy Optimization: A Simple and Effective Approach for Multi-Turn Search Agents

Stable Gaussian Process based Tracking Control of Euler-Lagrange Systems

DragFlow: Unleashing DiT Priors with Region Based Supervision for Drag Editing

Algorithms for Dynamic Spectrum Access with Learning for Cognitive Radio

Nemotron-Cascade: Scaling Cascaded Reinforcement Learning for General-Purpose Reasoning Models

ToolOrchestra: Elevating Intelligence via Efficient Model and Tool Orchestration

RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments

Eliciting Secret Knowledge from Language Models

Patient2Vec: A Personalized Interpretable Deep Representation of the Longitudinal Electronic Health Record

Decision Trees for Decision-Making under the Predict-then-Optimize Framework

LFM2 Technical Report

Kalman Filtering with Intermittent Observations: Weak Convergence to a Stationary Distribution

FlowRL: Matching Reward Distributions for LLM Reasoning

Monotonic Calibrated Interpolated Look-Up Tables