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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26,281 to 26,340 of 33,132

Deep Learning for Day Forecasts from Sparse Observations
Marcin Andrychowicz, Lasse Espeholt, Di Li +5
physics.ao-phcs.LGarXiv:2306.06079v32023
Flying Pigs, FaR and Beyond: Evaluating LLM Reasoning in Counterfactual Worlds
Anish R Joishy, Ishwar B Balappanawar, Vamshi Krishna Bonagiri +3
cs.CLcs.LGarXiv:2505.22318v22025
Truthful Calibration Measures for Sequential Prediction
Anagha Gokul, Jason Hartline, Lunjia Hu +2
cs.DScs.GTcs.LGarXiv:2608.21348v12026
DSNAS: Direct Neural Architecture Search without Parameter Retraining
Shoukang Hu, Sirui Xie, Hehui Zheng +4
cs.LGstat.MLarXiv:2002.09128v22020
To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning
Zayne Sprague, Fangcong Yin, Juan Diego Rodriguez +7
cs.CLcs.AIcs.LGarXiv:2409.12183v32024
When Does External Guidance Help LLM Reasoning? A Bias-Variance Theory of Guidance-Augmented GRPO
Sofia Torres, Gabriel Almeida, Carter Adams +1
cs.LGcs.CLarXiv:2610.06861v12026
Memory Injection Attacks on LLM Agents via Query-Only Interaction
Shen Dong, Shaochen Xu, Pengfei He +5
cs.LGarXiv:2503.03704v52025
Trajectools Demo: Towards No-Code Solutions for Movement Data Analytics
Anita Graser, Melitta Dragschnig
cs.DBcs.HCcs.LGarXiv:2610.06858v12026
Analyzing and Mitigating Data Stalls in DNN Training
Jayashree Mohan, Amar Phanishayee, Ashish Raniwala +1
cs.DCcs.LGcs.OSarXiv:2007.06775v32020
Recurrent Topic-Transition GAN for Visual Paragraph Generation
Xiaodan Liang, Zhiting Hu, Hao Zhang +2
cs.CVcs.AIcs.LGarXiv:1703.07022v22017
Agent Lightning: Train ANY AI Agents with Reinforcement Learning
Xufang Luo, Yuge Zhang, Zhiyuan He +5
cs.AIcs.LGarXiv:2508.03680v12025
MixStyle Neural Networks for Domain Generalization and Adaptation
Kaiyang Zhou, Yongxin Yang, Yu Qiao +1
cs.CVcs.AIcs.LGarXiv:2107.02053v22021
ReLMXEL: Adaptive RL-Based Memory Controller with Explainable Energy and Latency Optimization
Panuganti Chirag Sai, Gandholi Sarat, R. Raghunatha Sarma +2
cs.ARcs.AIcs.LGarXiv:2603.17309v12026
ERNIE-GEN: An Enhanced Multi-Flow Pre-training and Fine-tuning Framework for Natural Language Generation
Dongling Xiao, Han Zhang, Yukun Li +4
cs.CLcs.LGarXiv:2001.11314v32020
ResRL: Boosting LLM Reasoning via Negative Sample Projection Residual Reinforcement Learning
Zihan Lin, Xiaohan Wang, Jie Cao +6
cs.LGcs.CLarXiv:2605.00380v22026
SCALOR: Generative World Models with Scalable Object Representations
Jindong Jiang, Sepehr Janghorbani, Gerard de Melo +1
cs.LGstat.MLarXiv:1910.02384v42019
Siloed Federated Learning for Multi-Centric Histopathology Datasets
Mathieu Andreux, Jean Ogier du Terrail, Constance Beguier +1
cs.CVcs.LGeess.IVarXiv:2008.07424v12020
Towards Looped Models Done Right, Part II: Rethinking at Fixed Points
Benhao Huang, Chufan Shi, Junlin Chen +4
cs.LGarXiv:2610.06833v12026
All-Optical Machine Learning Using Diffractive Deep Neural Networks
Xing Lin, Yair Rivenson, Nezih T. Yardimci +3
cs.NEcs.LGphysics.comp-pharXiv:1804.08711v22018
Continual Learning in Transition
Zhiyan Hou, Dan Zhang, Tao Feng +11
cs.LGcs.AIarXiv:2608.06216v22026
Arbitrage-Aware Multi-Step Forecasting of Implied Volatility Surfaces: Modelling Surface Trajectories Using Latent Diffusion
Dominik Manuel Buchegger, Lukas Gonon
q-fin.MFcs.LGarXiv:2608.22478v12026
Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting
Zhining Liu, Ze Yang, Xiao Lin +6
cs.LGcs.AIarXiv:2505.18442v12025
When Vision Transformers Outperform ResNets without Pre-training or Strong Data Augmentations
Xiangning Chen, Cho-Jui Hsieh, Boqing Gong
cs.CVcs.LGarXiv:2106.01548v32021
MM-Verify: Enhancing Multimodal Reasoning with Chain-of-Thought Verification
Linzhuang Sun, Hao Liang, Jingxuan Wei +5
cs.CLcs.CVcs.LGarXiv:2502.13383v12025
Provable Benefit of Orthogonal Initialization in Optimizing Deep Linear Networks
Wei Hu, Lechao Xiao, Jeffrey Pennington
cs.LGcs.NEmath.OCarXiv:2001.05992v12020
Personalized Transformer for Explainable Recommendation
Lei Li, Yongfeng Zhang, Li Chen
cs.IRcs.AIcs.CLarXiv:2105.11601v22021
Conformal Thinking: Risk Control for Reasoning on a Compute Budget
Xi Wang, Anushri Suresh, Alvin Zhang +6
cs.AIcs.LGarXiv:2602.03814v22026
Improving GANs for Speech Enhancement
Huy Phan, Ian V. McLoughlin, Lam Pham +4
cs.LGcs.SDeess.ASarXiv:2001.05532v32020
PBSD: Privileged Bayesian Self-Distillation for Long-Horizon Credit Assignment
Yang Tian, Rui Wang, Xumeng Wen +5
cs.LGcs.CLarXiv:2606.09348v22026
Canaries in the Bank: Auditing User-Level Privacy in Private Evolution
Sai Aparna Aketi, Enayat Ullah, Shripad Gade
cs.CRcs.AIcs.LGarXiv:2609.13499v12026
Dimension-Corrected Hitting Times for Heavy-Tailed Spectral Emergence in Neural Optimizer Dynamics
Zongmin Liu
cs.LGcs.NEstat.MLarXiv:2609.12994v12026
Bias and Discrimination in AI: a cross-disciplinary perspective
Xavier Ferrer, Tom van Nuenen, Jose M. Such +2
cs.CYcs.LGarXiv:2008.07309v12020
Deep Gaussian Mixture Models
Cinzia Viroli, Geoffrey J. McLachlan
stat.MLcs.LGarXiv:1711.06929v12017
Robust Decentralized Federated Distillation via Multi-Modality Knowledge Collaboration
Xiao Ma, Hong Shen, Hui Tian +2
cs.LGcs.DCarXiv:2609.07230v12026
Certifiably Interpretable Training of ReLU-MLPs for Boolean Tasks with Guaranteed Truth-Table Generalization
Hrad Ghoukasian, Anastasis Kratsios
cs.LGcs.AIstat.MLarXiv:2609.13439v12026
Improving Variational Auto-Encoders using Householder Flow
Jakub M. Tomczak, Max Welling
cs.LGstat.MLarXiv:1611.09630v42016
Variational Physics-Informed Neural Networks For Solving Partial Differential Equations
E. Kharazmi, Z. Zhang, G. E. Karniadakis
cs.NEcs.LGmath.NAarXiv:1912.00873v12019
Multi-Agent Multi-Armed Bandits with Limited Communication
Mridul Agarwal, Vaneet Aggarwal, Kamyar Azizzadenesheli
cs.LGcs.AIcs.MAarXiv:2102.08462v12021
Approximate Data Deletion from Machine Learning Models
Zachary Izzo, Mary Anne Smart, Kamalika Chaudhuri +1
cs.LGstat.MLarXiv:2002.10077v22020
Infinite-Horizon Differentiable Model Predictive Control
Sebastian East, Marco Gallieri, Jonathan Masci +2
math.OCcs.LGcs.SYarXiv:2001.02244v12020
Understanding Self-Training for Gradual Domain Adaptation
Ananya Kumar, Tengyu Ma, Percy Liang
cs.LGstat.MLarXiv:2002.11361v12020
TransMatch: A Transfer-Learning Scheme for Semi-Supervised Few-Shot Learning
Zhongjie Yu, Lin Chen, Zhongwei Cheng +1
cs.LGcs.CVstat.MLarXiv:1912.09033v22019
Stacked Bidirectional and Unidirectional LSTM Recurrent Neural Network for Forecasting Network-wide Traffic State with Missing Values
Zhiyong Cui, Ruimin Ke, Ziyuan Pu +1
cs.LGeess.SPstat.MLarXiv:2005.11627v12020
Fairness Testing: Testing Software for Discrimination
Sainyam Galhotra, Yuriy Brun, Alexandra Meliou
cs.SEcs.AIcs.CYarXiv:1709.03221v12017
CARE: Certifying Acceleration for Vision-Language-Action Inference
Rui Liu, Tong Zheng, Jindong Gu +1
cs.CLcs.LGarXiv:2610.08917v12026
A study on effectiveness of extreme learning machine
Yuguang Wang, Feilong Cao, Yubo Yuan
cs.NEcs.LGarXiv:1409.3924v12014
Equivariance with Learned Canonicalization Functions
Sékou-Oumar Kaba, Arnab Kumar Mondal, Yan Zhang +2
cs.LGcs.AIarXiv:2211.06489v32022
Machine Unlearning under Retain-Forget Entanglement
Jingpu Cheng, Ping Liu, Qianxiao Li +1
cs.LGarXiv:2603.26569v12026
Lost in Simulation: LLM-Simulated Users are Unreliable Proxies for Human Users in Agentic Evaluations
Preethi Seshadri, Samuel Cahyawijaya, Ayomide Odumakinde +2
cs.HCcs.AIcs.CYarXiv:2601.17087v22026
ReCAST: Reward Credit Assignment across Timesteps for Online Diffusion Reinforcement
Yihang Chen, Yuanhao Ban, Kuei-Chun Kao +1
cs.LGcs.AIarXiv:2609.13425v12026
SemEval-2017 Task 3: Community Question Answering
Preslav Nakov, Doris Hoogeveen, Lluís Màrquez +4
cs.CLcs.AIcs.IRarXiv:1912.00730v12019
MatrixFormer: A Foundation Model for Matrix Completion
Dwaipayan Saha, Jacob Feitelberg, Kyuseong Choi +2
cs.LGcs.AIarXiv:2610.06751v12026
Understand What LLM Needs: Dual Preference Alignment for Retrieval-Augmented Generation
Guanting Dong, Yutao Zhu, Chenghao Zhang +3
cs.CLcs.AIcs.LGarXiv:2406.18676v22024
Discovering Governing Equations from Partial Measurements with Deep Delay Autoencoders
Joseph Bakarji, Kathleen Champion, J. Nathan Kutz +1
cs.LGcs.CEmath.DSarXiv:2201.05136v12022
EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples
Pin-Yu Chen, Yash Sharma, Huan Zhang +2
stat.MLcs.CRcs.LGarXiv:1709.04114v32017
Decoupling Time and Space: A Temporally Conditioned Refinement for EEG Source Imaging
Marco Morik, Jesse Palarus, Carmen Vidaurre +2
cs.LGarXiv:2610.06726v12026
Vibe Patenting: Evaluating LLM Judges for Professional Patent-Drafting Agents
Toshiaki Koike-Akino, Vladislav Blaykhman, Ye Wang +2
cs.AIcs.LGcs.MAarXiv:2609.13422v22026
FractalNet-Based Heterogeneous Federated Learning for Orbital Edge Intelligence in Satellite Mega-Constellations: A Wildfire Case Study
Sai Puppala, Koushik Sinha
cs.AIcs.DCcs.ETarXiv:2609.00875v12026
Multi-Task Learning as Multi-Objective Optimization
Ozan Sener, Vladlen Koltun
cs.LGstat.MLarXiv:1810.04650v22018
Extended depth-of-field in holographic image reconstruction using deep learning based auto-focusing and phase-recovery
Yichen Wu, Yair Rivenson, Yibo Zhang +4
cs.CVcs.LGphysics.opticsarXiv:1803.08138v12018

Machine Learning

Deep Learning for Day Forecasts from Sparse Observations

Flying Pigs, FaR and Beyond: Evaluating LLM Reasoning in Counterfactual Worlds

Truthful Calibration Measures for Sequential Prediction

DSNAS: Direct Neural Architecture Search without Parameter Retraining

To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning

When Does External Guidance Help LLM Reasoning? A Bias-Variance Theory of Guidance-Augmented GRPO

Memory Injection Attacks on LLM Agents via Query-Only Interaction

Trajectools Demo: Towards No-Code Solutions for Movement Data Analytics

Analyzing and Mitigating Data Stalls in DNN Training

Recurrent Topic-Transition GAN for Visual Paragraph Generation

Agent Lightning: Train ANY AI Agents with Reinforcement Learning

MixStyle Neural Networks for Domain Generalization and Adaptation

ReLMXEL: Adaptive RL-Based Memory Controller with Explainable Energy and Latency Optimization

ERNIE-GEN: An Enhanced Multi-Flow Pre-training and Fine-tuning Framework for Natural Language Generation

ResRL: Boosting LLM Reasoning via Negative Sample Projection Residual Reinforcement Learning

SCALOR: Generative World Models with Scalable Object Representations

Siloed Federated Learning for Multi-Centric Histopathology Datasets

Towards Looped Models Done Right, Part II: Rethinking at Fixed Points

All-Optical Machine Learning Using Diffractive Deep Neural Networks

Continual Learning in Transition

Arbitrage-Aware Multi-Step Forecasting of Implied Volatility Surfaces: Modelling Surface Trajectories Using Latent Diffusion

Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting

When Vision Transformers Outperform ResNets without Pre-training or Strong Data Augmentations

MM-Verify: Enhancing Multimodal Reasoning with Chain-of-Thought Verification

Provable Benefit of Orthogonal Initialization in Optimizing Deep Linear Networks

Personalized Transformer for Explainable Recommendation

Conformal Thinking: Risk Control for Reasoning on a Compute Budget

Improving GANs for Speech Enhancement

PBSD: Privileged Bayesian Self-Distillation for Long-Horizon Credit Assignment

Canaries in the Bank: Auditing User-Level Privacy in Private Evolution

Dimension-Corrected Hitting Times for Heavy-Tailed Spectral Emergence in Neural Optimizer Dynamics

Bias and Discrimination in AI: a cross-disciplinary perspective

Deep Gaussian Mixture Models

Robust Decentralized Federated Distillation via Multi-Modality Knowledge Collaboration

Certifiably Interpretable Training of ReLU-MLPs for Boolean Tasks with Guaranteed Truth-Table Generalization

Improving Variational Auto-Encoders using Householder Flow

Variational Physics-Informed Neural Networks For Solving Partial Differential Equations

Multi-Agent Multi-Armed Bandits with Limited Communication

Approximate Data Deletion from Machine Learning Models

Infinite-Horizon Differentiable Model Predictive Control

Understanding Self-Training for Gradual Domain Adaptation

TransMatch: A Transfer-Learning Scheme for Semi-Supervised Few-Shot Learning

Stacked Bidirectional and Unidirectional LSTM Recurrent Neural Network for Forecasting Network-wide Traffic State with Missing Values

Fairness Testing: Testing Software for Discrimination

CARE: Certifying Acceleration for Vision-Language-Action Inference

A study on effectiveness of extreme learning machine

Equivariance with Learned Canonicalization Functions

Machine Unlearning under Retain-Forget Entanglement

Lost in Simulation: LLM-Simulated Users are Unreliable Proxies for Human Users in Agentic Evaluations

ReCAST: Reward Credit Assignment across Timesteps for Online Diffusion Reinforcement

SemEval-2017 Task 3: Community Question Answering

MatrixFormer: A Foundation Model for Matrix Completion

Understand What LLM Needs: Dual Preference Alignment for Retrieval-Augmented Generation

Discovering Governing Equations from Partial Measurements with Deep Delay Autoencoders

EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples

Decoupling Time and Space: A Temporally Conditioned Refinement for EEG Source Imaging

Vibe Patenting: Evaluating LLM Judges for Professional Patent-Drafting Agents

FractalNet-Based Heterogeneous Federated Learning for Orbital Edge Intelligence in Satellite Mega-Constellations: A Wildfire Case Study

Multi-Task Learning as Multi-Objective Optimization

Extended depth-of-field in holographic image reconstruction using deep learning based auto-focusing and phase-recovery