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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1,141 to 1,200 of 20,193

NVIDIA Nemotron 3: Efficient and Open Intelligence
NVIDIA, :, Aaron Blakeman +356
cs.CLcs.AIcs.LGarXiv:2512.20856v12025
Dual Supervised Learning
Yingce Xia, Tao Qin, Wei Chen +3
cs.LGstat.MLarXiv:1707.00415v12017
StockBench: Can LLM Agents Trade Stocks Profitably In Real-world Markets?
Yanxu Chen, Zijun Yao, Yantao Liu +5
cs.LGcs.CLarXiv:2510.02209v22025
Scaling Open-Ended Reasoning to Predict the Future
Nikhil Chandak, Shashwat Goel, Ameya Prabhu +2
cs.LGcs.CLarXiv:2512.25070v22025
Neural Networks are Convex Regularizers: Exact Polynomial-time Convex Optimization Formulations for Two-layer Networks
Mert Pilanci, Tolga Ergen
cs.LGcs.CCstat.MLarXiv:2002.10553v22020
Sublinear Optimization for Machine Learning
Kenneth L. Clarkson, Elad Hazan, David P. Woodruff
cs.LGarXiv:1010.4408v12010
Thought Communication in Multiagent Collaboration
Yujia Zheng, Zhuokai Zhao, Zijian Li +4
cs.LGcs.AIcs.MAarXiv:2510.20733v12025
Biologically Inspired Spiking Neurons : Piecewise Linear Models and Digital Implementation
Hamid Soleimani, Arash Ahmadi, Mohammad Bavandpour
cs.LGcs.NEq-bio.NCarXiv:1212.3765v12012
The Information Geometry of Mirror Descent
Garvesh Raskutti, Sayan Mukherjee
stat.MLcs.LGarXiv:1310.7780v22013
COCO-GAN: Generation by Parts via Conditional Coordinating
Chieh Hubert Lin, Chia-Che Chang, Yu-Sheng Chen +3
cs.LGcs.CVstat.MLarXiv:1904.00284v42019
VisMem: Latent Vision Memory Unlocks Potential of Vision-Language Models
Xinlei Yu, Chengming Xu, Guibin Zhang +7
cs.CVcs.AIcs.LGarXiv:2511.11007v22025
Practical Contextual Bandits with Regression Oracles
Dylan J. Foster, Alekh Agarwal, Miroslav Dudík +2
cs.LGstat.MLarXiv:1803.01088v12018
Efficient Orthogonal Parametrisation of Recurrent Neural Networks Using Householder Reflections
Zakaria Mhammedi, Andrew Hellicar, Ashfaqur Rahman +1
cs.LGarXiv:1612.00188v52016
DLER: Doing Length pEnalty Right - Incentivizing More Intelligence per Token via Reinforcement Learning
Shih-Yang Liu, Xin Dong, Ximing Lu +9
cs.LGcs.AIcs.CLarXiv:2510.15110v12025
Understanding the Effect of Out-of-distribution Examples and Interactive Explanations on Human-AI Decision Making
Han Liu, Vivian Lai, Chenhao Tan
cs.AIcs.CYcs.HCarXiv:2101.05303v42021
Multilingual Routing in Mixture-of-Experts
Lucas Bandarkar, Chenyuan Yang, Mohsen Fayyaz +2
cs.CLcs.AIcs.LGarXiv:2510.04694v22025
ToolUniverse: An open platform for democratizing AI scientists
Shanghua Gao, Richard Zhu, Pengwei Sui +8
cs.AIcs.LGarXiv:2509.23426v32025
Distinguishing cause from effect using observational data: methods and benchmarks
Joris M. Mooij, Jonas Peters, Dominik Janzing +2
cs.LGcs.AIstat.MLarXiv:1412.3773v32014
Muon Outperforms Adam in Tail-End Associative Memory Learning
Shuche Wang, Fengzhuo Zhang, Jiaxiang Li +6
cs.LGcs.AImath.OCarXiv:2509.26030v22025
Learning to Optimize Multi-Objective Alignment Through Dynamic Reward Weighting
Yining Lu, Zilong Wang, Shiyang Li +6
cs.LGcs.CLarXiv:2509.11452v22025
On the Pitfalls of Measuring Emergent Communication
Ryan Lowe, Jakob Foerster, Y-Lan Boureau +2
cs.LGcs.AIcs.CLarXiv:1903.05168v12019
Meta-RL Induces Exploration in Language Agents
Yulun Jiang, Liangze Jiang, Damien Teney +2
cs.LGcs.AIarXiv:2512.16848v22025
Correlational Neural Networks
Sarath Chandar, Mitesh M. Khapra, Hugo Larochelle +1
cs.CLcs.LGcs.NEarXiv:1504.07225v32015
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

Machine Learning

NVIDIA Nemotron 3: Efficient and Open Intelligence

Dual Supervised Learning

StockBench: Can LLM Agents Trade Stocks Profitably In Real-world Markets?

Scaling Open-Ended Reasoning to Predict the Future

Neural Networks are Convex Regularizers: Exact Polynomial-time Convex Optimization Formulations for Two-layer Networks

Sublinear Optimization for Machine Learning

Thought Communication in Multiagent Collaboration

Biologically Inspired Spiking Neurons : Piecewise Linear Models and Digital Implementation

The Information Geometry of Mirror Descent

COCO-GAN: Generation by Parts via Conditional Coordinating

VisMem: Latent Vision Memory Unlocks Potential of Vision-Language Models

Practical Contextual Bandits with Regression Oracles

Efficient Orthogonal Parametrisation of Recurrent Neural Networks Using Householder Reflections

DLER: Doing Length pEnalty Right - Incentivizing More Intelligence per Token via Reinforcement Learning

Understanding the Effect of Out-of-distribution Examples and Interactive Explanations on Human-AI Decision Making

Multilingual Routing in Mixture-of-Experts

ToolUniverse: An open platform for democratizing AI scientists

Distinguishing cause from effect using observational data: methods and benchmarks

Muon Outperforms Adam in Tail-End Associative Memory Learning

Learning to Optimize Multi-Objective Alignment Through Dynamic Reward Weighting

On the Pitfalls of Measuring Emergent Communication

Meta-RL Induces Exploration in Language Agents

Correlational Neural Networks

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