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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24,121 to 24,180 of 33,225

To understand deep learning we need to understand kernel learning
Mikhail Belkin, Siyuan Ma, Soumik Mandal
stat.MLcs.LGarXiv:1802.01396v32018
PointDAN: A Multi-Scale 3D Domain Adaption Network for Point Cloud Representation
Can Qin, Haoxuan You, Lichen Wang +2
cs.CVcs.LGarXiv:1911.02744v12019
Improving LoRA in Privacy-preserving Federated Learning
Youbang Sun, Zitao Li, Yaliang Li +1
cs.LGcs.CRcs.DCarXiv:2403.12313v12024
NOSA: Native and Offloadable Sparse Attention
Yuxiang Huang, Pengjie Wang, Jicheng Han +9
cs.CLcs.AIcs.LGarXiv:2510.13602v22025
Scaling data-driven robotics with reward sketching and batch reinforcement learning
Serkan Cabi, Sergio Gómez Colmenarejo, Alexander Novikov +13
cs.ROcs.LGarXiv:1909.12200v32019
RE-MOVE: An Adaptive Policy Design for Robotic Navigation Tasks in Dynamic Environments via Language-Based Feedback
Souradip Chakraborty, Kasun Weerakoon, Prithvi Poddar +6
cs.ROcs.AIcs.LGarXiv:2303.07622v22023
Fork-dLLM: Avoiding the Flexibility Trap in Diffusion Language Models
Stipe Frković, Metod Jazbec, Christian A. Naesseth
cs.LGarXiv:2609.39859v12026
Invisible for both Camera and LiDAR: Security of Multi-Sensor Fusion based Perception in Autonomous Driving Under Physical-World Attacks
Yulong Cao*, Ningfei Wang*, Chaowei Xiao* +6
cs.CRcs.CVcs.LGarXiv:2106.09249v12021
PoEM: Predicting RL Outcomes from Existing Policies
Kimia Hamidieh, Giannis Daras, Antonio Torralba
cs.LGcs.AIcs.CLarXiv:2609.30226v12026
A Target-Centric Survey of Quantization-Aware Training
Jiamin Song, Mengjie Zhao, Zijing Wang +6
cs.LGarXiv:2608.29667v12026
UniST: A Prompt-Empowered Universal Model for Urban Spatio-Temporal Prediction
Yuan Yuan, Jingtao Ding, Jie Feng +2
cs.LGarXiv:2402.11838v52024
3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data
Maurice Weiler, Mario Geiger, Max Welling +2
cs.LGstat.MLarXiv:1807.02547v22018
Malicious URL Detection using Machine Learning: A Survey
Doyen Sahoo, Chenghao Liu, Steven C. H. Hoi
cs.LGcs.CRarXiv:1701.07179v32017
Nonlinear elliptic homogenization with the parametric Deep Ritz method
Conor Rowan
cs.LGcs.NAmath.NAarXiv:2609.05778v12026
GOBO: Quantizing Attention-Based NLP Models for Low Latency and Energy Efficient Inference
Ali Hadi Zadeh, Isak Edo, Omar Mohamed Awad +1
cs.LGcs.ARstat.MLarXiv:2005.03842v22020
Soft Threshold Weight Reparameterization for Learnable Sparsity
Aditya Kusupati, Vivek Ramanujan, Raghav Somani +4
cs.LGcs.CVstat.MLarXiv:2002.03231v92020
TARGET: Federated Class-Continual Learning via Exemplar-Free Distillation
Jie Zhang, Chen Chen, Weiming Zhuang +1
cs.LGcs.AIarXiv:2303.06937v32023
ChatGPT Asks, BLIP-2 Answers: Automatic Questioning Towards Enriched Visual Descriptions
Deyao Zhu, Jun Chen, Kilichbek Haydarov +3
cs.CVcs.AIcs.LGarXiv:2303.06594v12023
Federated Asymptotics: a model to compare federated learning algorithms
Gary Cheng, Karan Chadha, John Duchi
cs.LGcs.DCmath.OCarXiv:2108.07313v32021
SSD-LM: Semi-autoregressive Simplex-based Diffusion Language Model for Text Generation and Modular Control
Xiaochuang Han, Sachin Kumar, Yulia Tsvetkov
cs.CLcs.LGarXiv:2210.17432v22022
Training with Missed Targets in Generative Recommendation: Separating Supervision from Probability Competition
Xuesi Wang, Yangbin Shi, Xiaolin Zheng
cs.IRcs.LGarXiv:2610.10124v12026
FormalMATH: Benchmarking Formal Mathematical Reasoning of Large Language Models
Zhouliang Yu, Ruotian Peng, Keyi Ding +10
cs.AIcs.LGarXiv:2505.02735v12025
Pushing the (Decision) Boundaries: Dynamically Calibrating Differentially Private Noise to Explainability in Federated Learning
Michael Khavkin, Kichang Lee, Jaeho Jin +2
cs.LGarXiv:2609.03851v12026
Cautious Weight Decay
Lizhang Chen, Jonathan Li, Kaizhao Liang +6
cs.LGmath.OCstat.MLarXiv:2510.12402v22025
SEAR: Spoofing Evidence-Grounded Audio Reasoning Benchmark for Audio Language Models
Rong Wan, Suliu Qin, Jiaxi Li +5
cs.SDcs.LGarXiv:2609.39847v12026
Multi-Task Learning with Deep Neural Networks: A Survey
Michael Crawshaw
cs.LGcs.CVstat.MLarXiv:2009.09796v12020
From Bandits to Experts: On the Value of Side-Observations
Shie Mannor, Ohad Shamir
cs.LGstat.MLarXiv:1106.2436v32011
ImageBind: One Embedding Space To Bind Them All
Rohit Girdhar, Alaaeldin El-Nouby, Zhuang Liu +4
cs.CVcs.AIcs.LGarXiv:2305.05665v22023
Process mining for self-regulated learning assessment in e-learning
R. Cerezo, A. Bogarin, M. Esteban +1
cs.CYcs.LGarXiv:2403.12068v12024
AI4SLT: Empirical Processes in Lean 4 for Formal Statistical Learning Theory
Yuanhe Zhang, Jason D. Lee, Fanghui Liu
cs.LGcs.CLmath.STarXiv:2602.02285v22026
Certified Robustness to Label-Flipping Attacks via Randomized Smoothing
Elan Rosenfeld, Ezra Winston, Pradeep Ravikumar +1
cs.LGcs.AIcs.CRarXiv:2002.03018v42020
Adaptive Chemotherapy Control under Tumor Heterogeneity via Reinforcement Learning
Bereket Sitotaw Kidane, Md Samiul Haque Motayed, Shuo Wang
cs.LGcs.SYeess.SYarXiv:2609.12264v12026
MATCHA: Speeding Up Decentralized SGD via Matching Decomposition Sampling
Jianyu Wang, Anit Kumar Sahu, Zhouyi Yang +2
cs.LGeess.SYmath.OCarXiv:1905.09435v32019
High-accuracy sampling for diffusion models and log-concave distributions
Fan Chen, Sinho Chewi, Constantinos Daskalakis +1
cs.LGmath.STstat.MLarXiv:2602.01338v22026
Dynamic LoRA-Experts and Prototype-Ensemble Matching for Class-Incremental Learning
Hongwei Zhao, Rui Liu, Yansong Liu
cs.LGarXiv:2609.39839v12026
APEX-Agents
Bertie Vidgen, Austin Mann, Abby Fennelly +21
cs.CLcs.AIcs.LGarXiv:2601.14242v32026
Tensor Logic: The Language of AI
Pedro Domingos
cs.AIcs.LGcs.NEarXiv:2510.12269v32025
Self-Improving Language Models for Evolutionary Program Synthesis: A Case Study on ARC-AGI
Julien Pourcel, Cédric Colas, Pierre-Yves Oudeyer
cs.LGcs.AIcs.NEarXiv:2507.14172v22025
A Closer Look at AUROC and AUPRC under Class Imbalance
Matthew B. A. McDermott, Haoran Zhang, Lasse Hyldig Hansen +2
cs.LGstat.MEarXiv:2401.06091v42024
Should I stay or should I show? Learning to selectively disclose information
Carlotta Giacchetta, Alessando Bogani, Cesare Barbera +4
cs.LGarXiv:2609.39818v12026
ARCH: Animatable Reconstruction of Clothed Humans
Zeng Huang, Yuanlu Xu, Christoph Lassner +2
cs.GRcs.CVcs.LGarXiv:2004.04572v22020
CV-OPD: Contrastive Vision On-policy Distillation
Haowei Wang, Hao Lin, Qi Zhu +4
cs.CVcs.LGcs.MMarXiv:2610.13264v12026
Confidant: Customizing Transformer-based LLMs via Collaborative Edge Training
Yuhao Chen, Yuxuan Yan, Qianqian Yang +3
cs.LGcs.AIcs.DCarXiv:2311.13381v12023
AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving
Zhuohan Li, Lianmin Zheng, Yinmin Zhong +8
cs.LGcs.DCcs.NIarXiv:2302.11665v22023
Tight Lower Bounds for State Tomography with Limited Entanglement
Ufuk Keskin, Jason Luo, Mahbod Majid +1
quant-phcs.ITcs.LGarXiv:2609.05718v12026
QeRL: Beyond Efficiency -- Quantization-enhanced Reinforcement Learning for LLMs
Wei Huang, Yi Ge, Shuai Yang +11
cs.LGcs.CLcs.CVarXiv:2510.11696v12025
Real-Time Neuromorphic Spectrum Intelligence Simulator
Navaneetha Krishnan Kamalakannan
eess.SPcs.LGcs.NIarXiv:2609.00585v12026
MC-TRCM: Observation-Aware Recursive Fusion for Incomplete Mobile and Wearable Mental-Health Feature Views
Wentao Wang, Lifeng Han, Zining Ren +2
cs.LGarXiv:2610.11408v12026
GRPO Beyond English: A Large-Scale Study of GRPO in Non-English and Multilingual Settings
Konstantin Dobler, Federico Scozzafava, Jonathan Janke +2
cs.CLcs.LGarXiv:2608.13698v12026
Towards Understanding the Role of Over-Parametrization in Generalization of Neural Networks
Behnam Neyshabur, Zhiyuan Li, Srinadh Bhojanapalli +2
cs.LGstat.MLarXiv:1805.12076v12018
Backward-State Policy Is Part of the Learning Algorithm
Shuxiao Xie, Shuyang Xie, Dezhi Ran +2
cs.LGarXiv:2609.39813v12026
Red Teaming Deep Neural Networks with Feature Synthesis Tools
Stephen Casper, Yuxiao Li, Jiawei Li +4
cs.LGcs.AIcs.CVarXiv:2302.10894v32023
Disentangled Graph Collaborative Filtering
Xiang Wang, Hongye Jin, An Zhang +3
cs.IRcs.LGarXiv:2007.01764v12020
MAP-Neo: Highly Capable and Transparent Bilingual Large Language Model Series
Ge Zhang, Scott Qu, Jiaheng Liu +42
cs.CLcs.AIcs.LGarXiv:2405.19327v42024
T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models
Yunfeng Ge, Jiawei Li, Yiji Zhao +6
cs.LGcs.AIarXiv:2505.02417v22025
Diffusion-Link: Diffusion Probabilistic Model for Bridging the Audio-Text Modality Gap
KiHyun Nam, Jongmin Choi, Hyeongkeun Lee +2
cs.SDcs.AIcs.CLarXiv:2510.11330v12025
PAC-Private Autoregressive Generation: Calibrating Noise to Ensemble Disagreement
Mina Mirzadehsarcheshmeh, Amir Keyvan Khandani
cs.LGcs.AIarXiv:2609.05676v12026
Robust Federated Learning with Noisy Communication
Fan Ang, Li Chen, Nan Zhao +3
cs.LGstat.MLarXiv:1911.00251v12019
Offline RL Without Off-Policy Evaluation
David Brandfonbrener, William F. Whitney, Rajesh Ranganath +1
cs.LGstat.MLarXiv:2106.08909v32021
Structured Generative Models of Natural Source Code
Chris J. Maddison, Daniel Tarlow
cs.PLcs.LGstat.MLarXiv:1401.0514v22014

Machine Learning

To understand deep learning we need to understand kernel learning

PointDAN: A Multi-Scale 3D Domain Adaption Network for Point Cloud Representation

Improving LoRA in Privacy-preserving Federated Learning

NOSA: Native and Offloadable Sparse Attention

Scaling data-driven robotics with reward sketching and batch reinforcement learning

RE-MOVE: An Adaptive Policy Design for Robotic Navigation Tasks in Dynamic Environments via Language-Based Feedback

Fork-dLLM: Avoiding the Flexibility Trap in Diffusion Language Models

Invisible for both Camera and LiDAR: Security of Multi-Sensor Fusion based Perception in Autonomous Driving Under Physical-World Attacks

PoEM: Predicting RL Outcomes from Existing Policies

A Target-Centric Survey of Quantization-Aware Training

UniST: A Prompt-Empowered Universal Model for Urban Spatio-Temporal Prediction

3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data

Malicious URL Detection using Machine Learning: A Survey

Nonlinear elliptic homogenization with the parametric Deep Ritz method

GOBO: Quantizing Attention-Based NLP Models for Low Latency and Energy Efficient Inference

Soft Threshold Weight Reparameterization for Learnable Sparsity

TARGET: Federated Class-Continual Learning via Exemplar-Free Distillation

ChatGPT Asks, BLIP-2 Answers: Automatic Questioning Towards Enriched Visual Descriptions

Federated Asymptotics: a model to compare federated learning algorithms

SSD-LM: Semi-autoregressive Simplex-based Diffusion Language Model for Text Generation and Modular Control

Training with Missed Targets in Generative Recommendation: Separating Supervision from Probability Competition

FormalMATH: Benchmarking Formal Mathematical Reasoning of Large Language Models

Pushing the (Decision) Boundaries: Dynamically Calibrating Differentially Private Noise to Explainability in Federated Learning

Cautious Weight Decay

SEAR: Spoofing Evidence-Grounded Audio Reasoning Benchmark for Audio Language Models

Multi-Task Learning with Deep Neural Networks: A Survey

From Bandits to Experts: On the Value of Side-Observations

ImageBind: One Embedding Space To Bind Them All

Process mining for self-regulated learning assessment in e-learning

AI4SLT: Empirical Processes in Lean 4 for Formal Statistical Learning Theory

Certified Robustness to Label-Flipping Attacks via Randomized Smoothing

Adaptive Chemotherapy Control under Tumor Heterogeneity via Reinforcement Learning

MATCHA: Speeding Up Decentralized SGD via Matching Decomposition Sampling

High-accuracy sampling for diffusion models and log-concave distributions

Dynamic LoRA-Experts and Prototype-Ensemble Matching for Class-Incremental Learning

APEX-Agents

Tensor Logic: The Language of AI

Self-Improving Language Models for Evolutionary Program Synthesis: A Case Study on ARC-AGI

A Closer Look at AUROC and AUPRC under Class Imbalance

Should I stay or should I show? Learning to selectively disclose information

ARCH: Animatable Reconstruction of Clothed Humans

CV-OPD: Contrastive Vision On-policy Distillation

Confidant: Customizing Transformer-based LLMs via Collaborative Edge Training

AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving

Tight Lower Bounds for State Tomography with Limited Entanglement

QeRL: Beyond Efficiency -- Quantization-enhanced Reinforcement Learning for LLMs

Real-Time Neuromorphic Spectrum Intelligence Simulator

MC-TRCM: Observation-Aware Recursive Fusion for Incomplete Mobile and Wearable Mental-Health Feature Views

GRPO Beyond English: A Large-Scale Study of GRPO in Non-English and Multilingual Settings

Towards Understanding the Role of Over-Parametrization in Generalization of Neural Networks

Backward-State Policy Is Part of the Learning Algorithm

Red Teaming Deep Neural Networks with Feature Synthesis Tools

Disentangled Graph Collaborative Filtering

MAP-Neo: Highly Capable and Transparent Bilingual Large Language Model Series

T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models

Diffusion-Link: Diffusion Probabilistic Model for Bridging the Audio-Text Modality Gap

PAC-Private Autoregressive Generation: Calibrating Noise to Ensemble Disagreement

Robust Federated Learning with Noisy Communication

Offline RL Without Off-Policy Evaluation

Structured Generative Models of Natural Source Code