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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6,301 to 6,360 of 20,193

MiMo: Unlocking the Reasoning Potential of Language Model -- From Pretraining to Posttraining
LLM-Core Xiaomi, :, Bingquan Xia +62
cs.CLcs.AIcs.LGarXiv:2505.07608v22025
Large-Scale Multilingual Speech Recognition with a Streaming End-to-End Model
Anjuli Kannan, Arindrima Datta, Tara N. Sainath +6
eess.AScs.LGcs.SDarXiv:1909.05330v12019
Combining Deep Reinforcement Learning and Search for Imperfect-Information Games
Noam Brown, Anton Bakhtin, Adam Lerer +1
cs.GTcs.AIcs.LGarXiv:2007.13544v22020
Back to the Drawing Board: A Critical Evaluation of Poisoning Attacks on Production Federated Learning
Virat Shejwalkar, Amir Houmansadr, Peter Kairouz +1
cs.LGcs.CRcs.DCarXiv:2108.10241v22021
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Ze Liu, Yutong Lin, Yue Cao +5
cs.CVcs.LGarXiv:2103.14030v22021
DeepSpeed Inference: Enabling Efficient Inference of Transformer Models at Unprecedented Scale
Reza Yazdani Aminabadi, Samyam Rajbhandari, Minjia Zhang +8
cs.LGcs.DCcs.PFarXiv:2207.00032v12022
Evaluation of Neural Architectures Trained with Square Loss vs Cross-Entropy in Classification Tasks
Like Hui, Mikhail Belkin
cs.LGstat.MLarXiv:2006.07322v52020
Fair k-Center Clustering for Data Summarization
Matthäus Kleindessner, Pranjal Awasthi, Jamie Morgenstern
stat.MLcs.DScs.LGarXiv:1901.08628v22019
SBERT-WK: A Sentence Embedding Method by Dissecting BERT-based Word Models
Bin Wang, C. -C. Jay Kuo
cs.CLcs.LGcs.MMarXiv:2002.06652v22020
Multivariate Industrial Time Series with Cyber-Attack Simulation: Fault Detection Using an LSTM-based Predictive Data Model
Pavel Filonov, Andrey Lavrentyev, Artem Vorontsov
cs.LGstat.MLarXiv:1612.06676v22016
An Unsupervised Sentence Embedding Method by Mutual Information Maximization
Yan Zhang, Ruidan He, Zuozhu Liu +2
cs.CLcs.LGarXiv:2009.12061v22020
Competence-based Multimodal Curriculum Learning for Medical Report Generation
Fenglin Liu, Shen Ge, Yuexian Zou +1
cs.CLcs.CVcs.LGarXiv:2206.14579v32022
Graph Neural News Recommendation with Long-term and Short-term Interest Modeling
Linmei Hu, Chen Li, Chuan Shi +2
cs.IRcs.CLcs.LGarXiv:1910.14025v22019
Diffusion Adversarial Post-Training for One-Step Video Generation
Shanchuan Lin, Xin Xia, Yuxi Ren +3
cs.CVcs.AIcs.LGarXiv:2501.08316v32025
Discriminative Active Learning
Daniel Gissin, Shai Shalev-Shwartz
cs.LGstat.MLarXiv:1907.06347v12019
Reinforcement-Learning based Portfolio Management with Augmented Asset Movement Prediction States
Yunan Ye, Hengzhi Pei, Boxin Wang +4
q-fin.PMcs.LGstat.MLarXiv:2002.05780v12020
EgoVLA: Learning Vision-Language-Action Models from Egocentric Human Videos
Ruihan Yang, Qinxi Yu, Yecheng Wu +12
cs.ROcs.AIcs.CVarXiv:2507.12440v32025
Hamiltonian Graph Networks with ODE Integrators
Alvaro Sanchez-Gonzalez, Victor Bapst, Kyle Cranmer +1
cs.LGphysics.comp-pharXiv:1909.12790v12019
Open Set Domain Adaptation: Theoretical Bound and Algorithm
Zhen Fang, Jie Lu, Feng Liu +2
cs.LGstat.MLarXiv:1907.08375v22019
Transolver++: An Accurate Neural Solver for PDEs on Million-Scale Geometries
Huakun Luo, Haixu Wu, Hang Zhou +4
cs.LGarXiv:2502.02414v22025
Stability and Generalization of Learning Algorithms that Converge to Global Optima
Zachary Charles, Dimitris Papailiopoulos
stat.MLcs.ITcs.LGarXiv:1710.08402v12017
Dynamic Chunking for End-to-End Hierarchical Sequence Modeling
Sukjun Hwang, Brandon Wang, Albert Gu
cs.LGarXiv:2507.07955v22025
Process Reward Models That Think
Muhammad Khalifa, Rishabh Agarwal, Lajanugen Logeswaran +5
cs.LGcs.AIcs.CLarXiv:2504.16828v52025
The multi-armed bandit problem with covariates
Vianney Perchet, Philippe Rigollet
math.STcs.LGstat.MLarXiv:1110.6084v32011
MemoryGraft: Persistent Compromise of LLM Agents via Poisoned Experience Retrieval
Saksham Sahai Srivastava, Haoyu He
cs.CRcs.AIcs.LGarXiv:2512.16962v12025
Transformer Language Models without Positional Encodings Still Learn Positional Information
Adi Haviv, Ori Ram, Ofir Press +2
cs.CLcs.AIcs.LGarXiv:2203.16634v22022
Aether: Geometric-Aware Unified World Modeling
Aether Team, Haoyi Zhu, Yifan Wang +8
cs.CVcs.AIcs.LGarXiv:2503.18945v32025
R1-Omni: Explainable Omni-Multimodal Emotion Recognition with Reinforcement Learning
Jiaxing Zhao, Xihan Wei, Liefeng Bo
cs.LGcs.CVarXiv:2503.05379v22025
Mostly Exploration-Free Algorithms for Contextual Bandits
Hamsa Bastani, Mohsen Bayati, Khashayar Khosravi
stat.MLcs.LGarXiv:1704.09011v82017
SSP: Semantic Space Projection for Knowledge Graph Embedding with Text Descriptions
Han Xiao, Minlie Huang, Xiaoyan Zhu
cs.CLcs.LGarXiv:1604.04835v32016
Stable Prediction across Unknown Environments
Kun Kuang, Ruoxuan Xiong, Peng Cui +2
cs.LGstat.MLarXiv:1806.06270v22018
MCPTox: A Benchmark for Tool Poisoning Attack on Real-World MCP Servers
Zhiqiang Wang, Yichao Gao, Yanting Wang +6
cs.CRcs.LGarXiv:2508.14925v12025
Class-Agnostic Counting
Erika Lu, Weidi Xie, Andrew Zisserman
cs.CVcs.LGarXiv:1811.00472v12018
A Closer Look at Smoothness in Domain Adversarial Training
Harsh Rangwani, Sumukh K Aithal, Mayank Mishra +2
cs.LGcs.CVarXiv:2206.08213v12022
GuardReasoner: Towards Reasoning-based LLM Safeguards
Yue Liu, Hongcheng Gao, Shengfang Zhai +9
cs.CRcs.AIcs.LGarXiv:2501.18492v22025
The Road Less Scheduled
Aaron Defazio, Xingyu Alice Yang, Harsh Mehta +3
cs.LGcs.AImath.OCarXiv:2405.15682v42024
OstQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitting
Xing Hu, Yuan Cheng, Dawei Yang +6
cs.LGcs.AIarXiv:2501.13987v12025
Learning Invariant Representations with Local Transformations
Kihyuk Sohn, Honglak Lee
cs.LGcs.CVstat.MLarXiv:1206.6418v12012
Scaling up Masked Diffusion Models on Text
Shen Nie, Fengqi Zhu, Chao Du +5
cs.AIcs.CLcs.LGarXiv:2410.18514v32024
DARTS-: Robustly Stepping out of Performance Collapse Without Indicators
Xiangxiang Chu, Xiaoxing Wang, Bo Zhang +3
cs.LGcs.AIcs.CVarXiv:2009.01027v22020
Scaling Spatial Intelligence with Multimodal Foundation Models
Zhongang Cai, Ruisi Wang, Chenyang Gu +26
cs.CVcs.AIcs.LGarXiv:2511.13719v42025
KAN-ODEs: Kolmogorov-Arnold Network Ordinary Differential Equations for Learning Dynamical Systems and Hidden Physics
Benjamin C. Koenig, Suyong Kim, Sili Deng
cs.LGarXiv:2407.04192v32024
Understanding Reasoning in Thinking Language Models via Steering Vectors
Constantin Venhoff, Iván Arcuschin, Philip Torr +2
cs.LGcs.AIarXiv:2506.18167v42025
What Can We Learn from Collective Human Opinions on Natural Language Inference Data?
Yixin Nie, Xiang Zhou, Mohit Bansal
cs.CLcs.AIcs.LGarXiv:2010.03532v22020
CRAFT: Fine-Tuning Pre-hoc Explainability in AI-native 6G RAN
Pranshav Gajjar, Vijay K Shah
cs.LGarXiv:2609.00590v12026
VLASH: Real-Time VLAs via Future-State-Aware Asynchronous Inference
Jiaming Tang, Yufei Sun, Yilong Zhao +7
cs.ROcs.AIcs.LGarXiv:2512.01031v22025
Memento: Fine-tuning LLM Agents without Fine-tuning LLMs
Huichi Zhou, Yihang Chen, Siyuan Guo +8
cs.LGcs.CLarXiv:2508.16153v22025
Guarantees for Spectral Clustering with Fairness Constraints
Matthäus Kleindessner, Samira Samadi, Pranjal Awasthi +1
stat.MLcs.DScs.LGarXiv:1901.08668v22019
Neural Transfer Learning for Repairing Security Vulnerabilities in C Code
Zimin Chen, Steve Kommrusch, Martin Monperrus
cs.SEcs.CRcs.LGarXiv:2104.08308v32021
One-Shot Object Detection with Co-Attention and Co-Excitation
Ting-I Hsieh, Yi-Chen Lo, Hwann-Tzong Chen +1
cs.CVcs.LGeess.IVarXiv:1911.12529v12019
Differential Privacy for Functions and Functional Data
Rob Hall, Alessandro Rinaldo, Larry Wasserman
stat.MLcs.LGarXiv:1203.2570v12012
Training Neural Machine Translation To Apply Terminology Constraints
Georgiana Dinu, Prashant Mathur, Marcello Federico +1
cs.CLcs.AIcs.LGarXiv:1906.01105v22019
One-Pass AUC Optimization
Wei Gao, Rong Jin, Shenghuo Zhu +1
cs.LGarXiv:1305.1363v22013
Learning from Failure: Training Debiased Classifier from Biased Classifier
Junhyun Nam, Hyuntak Cha, Sungsoo Ahn +2
cs.LGstat.MLarXiv:2007.02561v22020
Spatio-Temporal Wind Speed Forecasting using Graph Networks and Novel Transformer Architectures
Lars Ødegaard Bentsen, Narada Dilp Warakagoda, Roy Stenbro +1
cs.LGcs.AIarXiv:2208.13585v22022
S-GRPO: Early Exit via Reinforcement Learning in Reasoning Models
Muzhi Dai, Chenxu Yang, Qingyi Si
cs.AIcs.LGarXiv:2505.07686v22025
Zebra-CoT: A Dataset for Interleaved Vision Language Reasoning
Ang Li, Charles Wang, Deqing Fu +9
cs.CVcs.CLcs.LGarXiv:2507.16746v22025
Coarse-Graining Auto-Encoders for Molecular Dynamics
Wujie Wang, Rafael Gómez-Bombarelli
physics.chem-phcs.LGstat.MLarXiv:1812.02706v22018
Bayesian parameter estimation using conditional variational autoencoders for gravitational-wave astronomy
Hunter Gabbard, Chris Messenger, Ik Siong Heng +2
astro-ph.IMcs.LGgr-qcarXiv:1909.06296v42019
How many images do I need? Understanding how sample size per class affects deep learning model performance metrics for balanced designs in autonomous wildlife monitoring
Saleh Shahinfar, Paul Meek, Greg Falzon
cs.CVcs.AIcs.LGarXiv:2010.08186v12020

Machine Learning

MiMo: Unlocking the Reasoning Potential of Language Model -- From Pretraining to Posttraining

Large-Scale Multilingual Speech Recognition with a Streaming End-to-End Model

Combining Deep Reinforcement Learning and Search for Imperfect-Information Games

Back to the Drawing Board: A Critical Evaluation of Poisoning Attacks on Production Federated Learning

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

DeepSpeed Inference: Enabling Efficient Inference of Transformer Models at Unprecedented Scale

Evaluation of Neural Architectures Trained with Square Loss vs Cross-Entropy in Classification Tasks

Fair k-Center Clustering for Data Summarization

SBERT-WK: A Sentence Embedding Method by Dissecting BERT-based Word Models

Multivariate Industrial Time Series with Cyber-Attack Simulation: Fault Detection Using an LSTM-based Predictive Data Model

An Unsupervised Sentence Embedding Method by Mutual Information Maximization

Competence-based Multimodal Curriculum Learning for Medical Report Generation

Graph Neural News Recommendation with Long-term and Short-term Interest Modeling

Diffusion Adversarial Post-Training for One-Step Video Generation

Discriminative Active Learning

Reinforcement-Learning based Portfolio Management with Augmented Asset Movement Prediction States

EgoVLA: Learning Vision-Language-Action Models from Egocentric Human Videos

Hamiltonian Graph Networks with ODE Integrators

Open Set Domain Adaptation: Theoretical Bound and Algorithm

Transolver++: An Accurate Neural Solver for PDEs on Million-Scale Geometries

Stability and Generalization of Learning Algorithms that Converge to Global Optima

Dynamic Chunking for End-to-End Hierarchical Sequence Modeling

Process Reward Models That Think

The multi-armed bandit problem with covariates

MemoryGraft: Persistent Compromise of LLM Agents via Poisoned Experience Retrieval

Transformer Language Models without Positional Encodings Still Learn Positional Information

Aether: Geometric-Aware Unified World Modeling

R1-Omni: Explainable Omni-Multimodal Emotion Recognition with Reinforcement Learning

Mostly Exploration-Free Algorithms for Contextual Bandits

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

Stable Prediction across Unknown Environments

MCPTox: A Benchmark for Tool Poisoning Attack on Real-World MCP Servers

Class-Agnostic Counting

A Closer Look at Smoothness in Domain Adversarial Training

GuardReasoner: Towards Reasoning-based LLM Safeguards

The Road Less Scheduled

OstQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitting

Learning Invariant Representations with Local Transformations

Scaling up Masked Diffusion Models on Text

DARTS-: Robustly Stepping out of Performance Collapse Without Indicators

Scaling Spatial Intelligence with Multimodal Foundation Models

KAN-ODEs: Kolmogorov-Arnold Network Ordinary Differential Equations for Learning Dynamical Systems and Hidden Physics

Understanding Reasoning in Thinking Language Models via Steering Vectors

What Can We Learn from Collective Human Opinions on Natural Language Inference Data?

CRAFT: Fine-Tuning Pre-hoc Explainability in AI-native 6G RAN

VLASH: Real-Time VLAs via Future-State-Aware Asynchronous Inference

Memento: Fine-tuning LLM Agents without Fine-tuning LLMs

Guarantees for Spectral Clustering with Fairness Constraints

Neural Transfer Learning for Repairing Security Vulnerabilities in C Code

One-Shot Object Detection with Co-Attention and Co-Excitation

Differential Privacy for Functions and Functional Data

Training Neural Machine Translation To Apply Terminology Constraints

One-Pass AUC Optimization

Learning from Failure: Training Debiased Classifier from Biased Classifier

Spatio-Temporal Wind Speed Forecasting using Graph Networks and Novel Transformer Architectures

S-GRPO: Early Exit via Reinforcement Learning in Reasoning Models

Zebra-CoT: A Dataset for Interleaved Vision Language Reasoning

Coarse-Graining Auto-Encoders for Molecular Dynamics

Bayesian parameter estimation using conditional variational autoencoders for gravitational-wave astronomy

How many images do I need? Understanding how sample size per class affects deep learning model performance metrics for balanced designs in autonomous wildlife monitoring