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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27,421 to 27,480 of 33,109

Bi-CLKT: Bi-Graph Contrastive Learning based Knowledge Tracing
Xiangyu Song, Jianxin Li, Qi Lei +3
cs.LGcs.CYarXiv:2201.09020v12022
cGANs with Projection Discriminator
Takeru Miyato, Masanori Koyama
cs.LGcs.CVstat.MLarXiv:1802.05637v22018
Flowing Faster to Coordinate: One-Step Online Multi-Agent Flow Policies
Zhuoran Li, Yunzhan Li, Xun Wang +2
cs.LGcs.AIarXiv:2610.01882v12026
NoMaD: Goal Masked Diffusion Policies for Navigation and Exploration
Ajay Sridhar, Dhruv Shah, Catherine Glossop +1
cs.ROcs.CVcs.LGarXiv:2310.07896v12023
A Bayesian Perspective on the Deep Image Prior
Zezhou Cheng, Matheus Gadelha, Subhransu Maji +1
cs.CVcs.LGstat.MLarXiv:1904.07457v12019
Towards Accurate Model Selection in Deep Unsupervised Domain Adaptation
Kaichao You, Ximei Wang, Mingsheng Long +1
cs.LGarXiv:2606.04665v12026
Inductive Representation Learning on Large Graphs
William L. Hamilton, Rex Ying, Jure Leskovec
cs.SIcs.LGstat.MLarXiv:1706.02216v42017
A Systematic Review of Generative AI for Teaching and Learning Practice
Bayode Ogunleye, Kudirat Ibilola Zakariyyah, Oluwaseun Ajao +2
cs.IRcs.AIcs.CLarXiv:2406.09520v12024
Mode Regularized Generative Adversarial Networks
Tong Che, Yanran Li, Athul Paul Jacob +2
cs.LGcs.AIcs.CVarXiv:1612.02136v52016
Not All Language Model Features Are One-Dimensionally Linear
Joshua Engels, Eric J. Michaud, Isaac Liao +2
cs.LGarXiv:2405.14860v32024
Microscaling Data Formats for Deep Learning
Bita Darvish Rouhani, Ritchie Zhao, Ankit More +30
cs.LGcs.AIarXiv:2310.10537v32023
Leveraging the Feature Distribution in Transfer-based Few-Shot Learning
Yuqing Hu, Vincent Gripon, Stéphane Pateux
cs.LGstat.MLarXiv:2006.03806v32020
Why Deep Neural Networks for Function Approximation?
Shiyu Liang, R. Srikant
cs.LGcs.NEarXiv:1610.04161v22016
Deep Graph-Convolutional Image Denoising
Diego Valsesia, Giulia Fracastoro, Enrico Magli
eess.IVcs.CVcs.LGarXiv:1907.08448v12019
Adversarial Learning of Classifier-Free Guidance Schedules
Ashwini Pokle, Alexandre Galashov, Arnaud Doucet +2
cs.LGarXiv:2608.14038v12026
Match the Distribution, Not the Compute: Post-Training Multi-Token Prediction Heads
Prachi Badarayani, Aidan Jay, Chenghui Zhou +8
cs.LGcs.AIarXiv:2610.00888v12026
Petals: Collaborative Inference and Fine-tuning of Large Models
Alexander Borzunov, Dmitry Baranchuk, Tim Dettmers +5
cs.LGcs.DCarXiv:2209.01188v22022
Attribution Patching Outperforms Automated Circuit Discovery
Aaquib Syed, Can Rager, Arthur Conmy
cs.LGcs.AIcs.CLarXiv:2310.10348v22023
Vision Language Models are Biased
An Vo, Khai-Nguyen Nguyen, Mohammad Reza Taesiri +3
cs.LGcs.CVarXiv:2505.23941v42025
On Oversquashing in Graph Neural Networks Through the Lens of Dynamical Systems
Alessio Gravina, Moshe Eliasof, Claudio Gallicchio +2
cs.LGarXiv:2405.01009v22024
HeurekaBench: A Benchmarking Framework for AI Co-scientist
Siba Smarak Panigrahi, Jovana Videnović, Maria Brbić
cs.LGarXiv:2601.01678v22026
Smart Contract Vulnerability Detection: From Pure Neural Network to Interpretable Graph Feature and Expert Pattern Fusion
Zhenguang Liu, Peng Qian, Xiang Wang +3
cs.LGcs.PLarXiv:2106.09282v12021
k-Sparse Autoencoders
Alireza Makhzani, Brendan Frey
cs.LGarXiv:1312.5663v22013
Learning to Generalize Across Long-Horizon Tasks from Human Demonstrations
Ajay Mandlekar, Danfei Xu, Roberto Martín-Martín +2
cs.ROcs.AIcs.LGarXiv:2003.06085v22020
Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning
Tianhe Yu, Deirdre Quillen, Zhanpeng He +7
cs.LGcs.AIcs.ROarXiv:1910.10897v22019
Focus U-Net: A novel dual attention-gated CNN for polyp segmentation during colonoscopy
Michael Yeung, Evis Sala, Carola-Bibiane Schönlieb +1
eess.IVcs.CVcs.LGarXiv:2105.07467v22021
DKN: Deep Knowledge-Aware Network for News Recommendation
Hongwei Wang, Fuzheng Zhang, Xing Xie +1
stat.MLcs.LGarXiv:1801.08284v22018
Certified Robustness Against Natural Language Attacks by Causal Intervention
Haiteng Zhao, Chang Ma, Xinshuai Dong +3
cs.LGcs.CLcs.CRarXiv:2205.12331v32022
Teaching Small Language Models to Reason
Lucie Charlotte Magister, Jonathan Mallinson, Jakub Adamek +2
cs.CLcs.LGarXiv:2212.08410v32022
FedDM: Iterative Distribution Matching for Communication-Efficient Federated Learning
Yuanhao Xiong, Ruochen Wang, Minhao Cheng +2
cs.LGcs.CRarXiv:2207.09653v12022
A Cartography of Open Collaboration in Open Source AI: Mapping Practices, Motivations, and Governance in 14 Open Large Language Model Projects
Johan Linåker, Cailean Osborne, Jennifer Ding +1
cs.SEcs.AIcs.LGarXiv:2509.25397v22025
Task-Guided and Path-Augmented Heterogeneous Network Embedding for Author Identification
Ting Chen, Yizhou Sun
cs.LGcs.AIcs.IRarXiv:1612.02814v22016
Bootstrap Your Own Skills: Learning to Solve New Tasks with Large Language Model Guidance
Jesse Zhang, Jiahui Zhang, Karl Pertsch +5
cs.ROcs.AIcs.LGarXiv:2310.10021v22023
On the Optimal Reasoning Length for RL-Trained Language Models
Daisuke Nohara, Taishi Nakamura, Rio Yokota
cs.CLcs.AIcs.LGarXiv:2602.09591v32026
Group Fisher Pruning for Practical Network Compression
Liyang Liu, Shilong Zhang, Zhanghui Kuang +7
cs.CVcs.LGarXiv:2108.00708v12021
UI-Venus-1.5 Technical Report
Venus Team, Changlong Gao, Zhangxuan Gu +24
cs.CVcs.AIcs.CLarXiv:2602.09082v22026
Data-Driven Deep Learning to Design Pilot and Channel Estimator For Massive MIMO
Xisuo Ma, Zhen Gao
cs.ITcs.LGeess.SParXiv:2003.05875v12020
Scalable and Sustainable Deep Learning via Randomized Hashing
Ryan Spring, Anshumali Shrivastava
stat.MLcs.LGcs.NEarXiv:1602.08194v22016
Towards a universal neural network encoder for time series
Joan Serrà, Santiago Pascual, Alexandros Karatzoglou
cs.LGcs.NEstat.MLarXiv:1805.03908v12018
Optimal estimation for Functional Linear Regression with Noisy Discretized Data
Sixtine Sphabmixay
stat.MLcs.LGarXiv:2609.08671v12026
Large-Scale Learnable Graph Convolutional Networks
Hongyang Gao, Zhengyang Wang, Shuiwang Ji
cs.LGstat.MLarXiv:1808.03965v12018
Multi-Label Learning with Global and Local Label Correlation
Yue Zhu, James T. Kwok, Zhi-Hua Zhou
cs.LGcs.AIarXiv:1704.01415v12017
SynthAgent: Adapting Web Agents with Synthetic Supervision
Zhaoyang Wang, Yiming Liang, Xuchao Zhang +9
cs.LGcs.AIcs.CLarXiv:2511.06101v32025
Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels
Erik Englesson, Hossein Azizpour
cs.LGcs.CVstat.MLarXiv:2105.04522v42021
RepQ-ViT: Scale Reparameterization for Post-Training Quantization of Vision Transformers
Zhikai Li, Junrui Xiao, Lianwei Yang +1
cs.CVcs.LGarXiv:2212.08254v22022
Streaming PCA: Matching Matrix Bernstein and Near-Optimal Finite Sample Guarantees for Oja's Algorithm
Prateek Jain, Chi Jin, Sham M. Kakade +2
cs.LGcs.DScs.NEarXiv:1602.06929v22016
Quantum Graph Neural Networks
Guillaume Verdon, Trevor McCourt, Enxhell Luzhnica +3
quant-phcs.LGarXiv:1909.12264v12019
Muon is Scalable for LLM Training
Jingyuan Liu, Jianlin Su, Xingcheng Yao +25
cs.LGcs.AIcs.CLarXiv:2502.16982v12025
Why Do Pretrained Language Models Help in Downstream Tasks? An Analysis of Head and Prompt Tuning
Colin Wei, Sang Michael Xie, Tengyu Ma
cs.LGstat.MLarXiv:2106.09226v22021
Target-Independent Micro-Interventions for Predicting Training Response Across Language-Model Families
Zhongxuan Liu, Sicheng Zhou, Hongzhi Wang
cs.LGarXiv:2609.08618v12026
Going Beyond Neural Network Feature Similarity: The Network Feature Complexity and Its Interpretation Using Category Theory
Yiting Chen, Zhanpeng Zhou, Junchi Yan
cs.LGcs.AIarXiv:2310.06756v22023
Instance-aware, Context-focused, and Memory-efficient Weakly Supervised Object Detection
Zhongzheng Ren, Zhiding Yu, Xiaodong Yang +4
cs.CVcs.LGeess.IVarXiv:2004.04725v32020
BDANet: Multiscale Convolutional Neural Network with Cross-directional Attention for Building Damage Assessment from Satellite Images
Yu Shen, Sijie Zhu, Taojiannan Yang +5
cs.CVcs.LGeess.IVarXiv:2105.07364v12021
QuantCode Model: Specializing Language Models for Executable Algorithmic Trading Code
Alexey Chernysh, Orkhan Ekhtibarov, Dmitry Zmitrovich
cs.CLcs.LGq-fin.TRarXiv:2609.39420v12026
Visual Whole-Body Control for Legged Loco-Manipulation
Minghuan Liu, Zixuan Chen, Xuxin Cheng +4
cs.ROcs.CVcs.LGarXiv:2403.16967v52024
Why shared attention vectors fail: a case for outcome-indexed tuning
Lenard Dome
cs.LGcs.NEq-bio.NCarXiv:2609.08615v12026
A Mathematical Theory of Reusable Neural Bases for Network Compression
Binshuai Wang, Peng Wei
cs.LGcs.AIarXiv:2609.01550v22026
Neural Renormalization Group Flow for Percolation
Anaclara Alvez, Luca Camagna, Sergio Chibbaro +4
cond-mat.dis-nncs.LGarXiv:2608.26764v12026
In-context Reinforcement Learning with Algorithm Distillation
Michael Laskin, Luyu Wang, Junhyuk Oh +11
cs.LGcs.AIarXiv:2210.14215v12022
Unifying Vision-and-Language Tasks via Text Generation
Jaemin Cho, Jie Lei, Hao Tan +1
cs.CLcs.AIcs.CVarXiv:2102.02779v22021

Machine Learning

Bi-CLKT: Bi-Graph Contrastive Learning based Knowledge Tracing

cGANs with Projection Discriminator

Flowing Faster to Coordinate: One-Step Online Multi-Agent Flow Policies

NoMaD: Goal Masked Diffusion Policies for Navigation and Exploration

A Bayesian Perspective on the Deep Image Prior

Towards Accurate Model Selection in Deep Unsupervised Domain Adaptation

Inductive Representation Learning on Large Graphs

A Systematic Review of Generative AI for Teaching and Learning Practice

Mode Regularized Generative Adversarial Networks

Not All Language Model Features Are One-Dimensionally Linear

Microscaling Data Formats for Deep Learning

Leveraging the Feature Distribution in Transfer-based Few-Shot Learning

Why Deep Neural Networks for Function Approximation?

Deep Graph-Convolutional Image Denoising

Adversarial Learning of Classifier-Free Guidance Schedules

Match the Distribution, Not the Compute: Post-Training Multi-Token Prediction Heads

Petals: Collaborative Inference and Fine-tuning of Large Models

Attribution Patching Outperforms Automated Circuit Discovery

Vision Language Models are Biased

On Oversquashing in Graph Neural Networks Through the Lens of Dynamical Systems

HeurekaBench: A Benchmarking Framework for AI Co-scientist

Smart Contract Vulnerability Detection: From Pure Neural Network to Interpretable Graph Feature and Expert Pattern Fusion

k-Sparse Autoencoders

Learning to Generalize Across Long-Horizon Tasks from Human Demonstrations

Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning

Focus U-Net: A novel dual attention-gated CNN for polyp segmentation during colonoscopy

DKN: Deep Knowledge-Aware Network for News Recommendation

Certified Robustness Against Natural Language Attacks by Causal Intervention

Teaching Small Language Models to Reason

FedDM: Iterative Distribution Matching for Communication-Efficient Federated Learning

A Cartography of Open Collaboration in Open Source AI: Mapping Practices, Motivations, and Governance in 14 Open Large Language Model Projects

Task-Guided and Path-Augmented Heterogeneous Network Embedding for Author Identification

Bootstrap Your Own Skills: Learning to Solve New Tasks with Large Language Model Guidance

On the Optimal Reasoning Length for RL-Trained Language Models

Group Fisher Pruning for Practical Network Compression

UI-Venus-1.5 Technical Report

Data-Driven Deep Learning to Design Pilot and Channel Estimator For Massive MIMO

Scalable and Sustainable Deep Learning via Randomized Hashing

Towards a universal neural network encoder for time series

Optimal estimation for Functional Linear Regression with Noisy Discretized Data

Large-Scale Learnable Graph Convolutional Networks

Multi-Label Learning with Global and Local Label Correlation

SynthAgent: Adapting Web Agents with Synthetic Supervision

Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels

RepQ-ViT: Scale Reparameterization for Post-Training Quantization of Vision Transformers

Streaming PCA: Matching Matrix Bernstein and Near-Optimal Finite Sample Guarantees for Oja's Algorithm

Quantum Graph Neural Networks

Muon is Scalable for LLM Training

Why Do Pretrained Language Models Help in Downstream Tasks? An Analysis of Head and Prompt Tuning

Target-Independent Micro-Interventions for Predicting Training Response Across Language-Model Families

Going Beyond Neural Network Feature Similarity: The Network Feature Complexity and Its Interpretation Using Category Theory

Instance-aware, Context-focused, and Memory-efficient Weakly Supervised Object Detection

BDANet: Multiscale Convolutional Neural Network with Cross-directional Attention for Building Damage Assessment from Satellite Images

QuantCode Model: Specializing Language Models for Executable Algorithmic Trading Code

Visual Whole-Body Control for Legged Loco-Manipulation

Why shared attention vectors fail: a case for outcome-indexed tuning

A Mathematical Theory of Reusable Neural Bases for Network Compression

Neural Renormalization Group Flow for Percolation

In-context Reinforcement Learning with Algorithm Distillation

Unifying Vision-and-Language Tasks via Text Generation