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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16,921 to 16,980 of 20,217

Rethinking Graph Transformers with Spectral Attention
Devin Kreuzer, Dominique Beaini, William L. Hamilton +2
cs.LGarXiv:2106.03893v32021
Making LLMs Optimize Multi-Scenario CUDA Kernels Like Experts
Yuxuan Han, Meng-Hao Guo, Zhengning Liu +2
cs.LGstat.MLarXiv:2603.07169v12026
Efficient RLVR Training via Weighted Mutual Information Data Selection
Xinyu Zhou, Boyu Zhu, Haotian Zhang +2
cs.LGcs.CLarXiv:2603.01907v12026
FlashMotion: Few-Step Controllable Video Generation with Trajectory Guidance
Quanhao Li, Zhen Xing, Rui Wang +4
cs.CVcs.AIcs.LGarXiv:2603.12146v12026
Interactive Benchmarks
Baoqing Yue, Zihan Zhu, Yutong Han +6
cs.AIcs.CLcs.LGarXiv:2603.04737v42026
Neural Boltzmann Equations
Jonas Spinner, Jack Shergold
hep-phcs.LGstat.MLarXiv:2608.23022v12026
Balanced Meta-Softmax for Long-Tailed Visual Recognition
Jiawei Ren, Cunjun Yu, Shunan Sheng +4
cs.LGcs.CVstat.MLarXiv:2007.10740v32020
A Survey on Data Collection for Machine Learning: a Big Data -- AI Integration Perspective
Yuji Roh, Geon Heo, Steven Euijong Whang
cs.LGstat.MLarXiv:1811.03402v22018
Independently Recurrent Neural Network (IndRNN): Building A Longer and Deeper RNN
Shuai Li, Wanqing Li, Chris Cook +2
cs.CVcs.LGarXiv:1803.04831v32018
Teaching Models to Express Their Uncertainty in Words
Stephanie Lin, Jacob Hilton, Owain Evans
cs.CLcs.AIcs.LGarXiv:2205.14334v22022
Sample Efficient Actor-Critic with Experience Replay
Ziyu Wang, Victor Bapst, Nicolas Heess +4
cs.LGarXiv:1611.01224v22016
RDT-1B: a Diffusion Foundation Model for Bimanual Manipulation
Songming Liu, Lingxuan Wu, Bangguo Li +6
cs.ROcs.AIcs.CVarXiv:2410.07864v22024
Credal Large Language Models for Semantic Commitment under Uncertainty
Shireen Kudukkil Manchingal, Sofiia Nikolenko, Fabio Cuzzolin
cs.CLcs.AIcs.LGarXiv:2608.23244v12026
Federated Optimization:Distributed Optimization Beyond the Datacenter
Jakub Konečný, Brendan McMahan, Daniel Ramage
cs.LGmath.OCarXiv:1511.03575v12015
Deep Semantic Segmentation of Natural and Medical Images: A Review
Saeid Asgari Taghanaki, Kumar Abhishek, Joseph Paul Cohen +2
cs.CVcs.LGeess.IVarXiv:1910.07655v42019
Sum-Product Networks: A New Deep Architecture
Hoifung Poon, Pedro Domingos
cs.LGcs.AIstat.MLarXiv:1202.3732v12012
A Note on the Inception Score
Shane Barratt, Rishi Sharma
stat.MLcs.LGarXiv:1801.01973v22018
Learning Self-Correction in Vision-Language Models via Rollout Augmentation
Yi Ding, Ziliang Qiu, Bolian Li +1
cs.CVcs.CLcs.LGarXiv:2602.08503v22026
Discovering Latent Knowledge in Language Models Without Supervision
Collin Burns, Haotian Ye, Dan Klein +1
cs.CLcs.AIcs.LGarXiv:2212.03827v22022
DeepSeek LLM: Scaling Open-Source Language Models with Longtermism
DeepSeek-AI, :, Xiao Bi +85
cs.CLcs.AIcs.LGarXiv:2401.02954v12024
GradMem: Learning to Write Context into Memory with Test-Time Gradient Descent
Yuri Kuratov, Matvey Kairov, Aydar Bulatov +2
cs.CLcs.LGarXiv:2603.13875v22026
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference
Yarin Gal, Zoubin Ghahramani
stat.MLcs.LGarXiv:1506.02158v62015
Bayesian Deep Learning and a Probabilistic Perspective of Generalization
Andrew Gordon Wilson, Pavel Izmailov
cs.LGstat.MLarXiv:2002.08791v42020
cGANs with Projection Discriminator
Takeru Miyato, Masanori Koyama
cs.LGcs.CVstat.MLarXiv:1802.05637v22018
Robust Tool Use via Fission-GRPO: Learning to Recover from Execution Errors
Zhiwei Zhang, Fei Zhao, Rui Wang +6
cs.LGcs.AIarXiv:2601.15625v22026
Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks
Tian Bian, Xi Xiao, Tingyang Xu +4
cs.SIcs.LGarXiv:2001.06362v12020
Learning Scheduling Algorithms for Data Processing Clusters
Hongzi Mao, Malte Schwarzkopf, Shaileshh Bojja Venkatakrishnan +2
cs.LGstat.MLarXiv:1810.01963v42018
Distilling Conversations: Abstract Compression of Conversational Audio Context for LLM-based ASR
Shashi Kumar, Esaú Villatoro-Tello, Sergio Burdisso +7
cs.CLcs.AIcs.LGarXiv:2603.26246v12026
Doubly Robust Policy Evaluation and Learning
Miroslav Dudik, John Langford, Lihong Li
cs.LGcs.AIcs.ROarXiv:1103.4601v22011
Graph neural networks for materials science and chemistry
Patrick Reiser, Marlen Neubert, André Eberhard +8
physics.chem-phcond-mat.mtrl-scics.LGarXiv:2208.09481v12022
TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data
Pengcheng Yin, Graham Neubig, Wen-tau Yih +1
cs.CLcs.LGarXiv:2005.08314v12020
Effective Distillation to Hybrid xLSTM Architectures
Lukas Hauzenberger, Niklas Schmidinger, Thomas Schmied +7
cs.LGarXiv:2603.15590v22026
Style Transfer from Non-Parallel Text by Cross-Alignment
Tianxiao Shen, Tao Lei, Regina Barzilay +1
cs.CLcs.LGarXiv:1705.09655v22017
End-to-End Safe Reinforcement Learning through Barrier Functions for Safety-Critical Continuous Control Tasks
Richard Cheng, Gabor Orosz, Richard M. Murray +1
cs.LGeess.SYstat.MLarXiv:1903.08792v12019
Insight-V++: Towards Advanced Long-Chain Visual Reasoning with Multimodal Large Language Models
Yuhao Dong, Zuyan Liu, Shulin Tian +2
cs.CVcs.AIcs.LGarXiv:2603.18118v12026
BC-Z: Zero-Shot Task Generalization with Robotic Imitation Learning
Eric Jang, Alex Irpan, Mohi Khansari +5
cs.ROcs.LGarXiv:2202.02005v12022
Large Language Models Are Zero-Shot Time Series Forecasters
Nate Gruver, Marc Finzi, Shikai Qiu +1
cs.LGarXiv:2310.07820v32023
A decoder-only foundation model for time-series forecasting
Abhimanyu Das, Weihao Kong, Rajat Sen +1
cs.CLcs.AIcs.LGarXiv:2310.10688v42023
Flow-based Extremal Mathematical Structure Discovery
Gergely Bérczi, Baran Hashemi, Jonas Klüver
math.COcs.LGarXiv:2601.18005v12026
Neural Fields in Visual Computing and Beyond
Yiheng Xie, Towaki Takikawa, Shunsuke Saito +7
cs.CVcs.GRcs.LGarXiv:2111.11426v42021
FROST: Filtering Reasoning Outliers with Attention for Efficient Reasoning
Haozheng Luo, Zhuolin Jiang, Md Zahid Hasan +2
cs.CLcs.AIcs.LGarXiv:2601.19001v22026
Self-Improving Pretraining: using post-trained models to pretrain better models
Ellen Xiaoqing Tan, Jack Lanchantin, Shehzaad Dhuliawala +9
cs.CLcs.AIcs.LGarXiv:2601.21343v32026
HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation
Bowen Cheng, Bin Xiao, Jingdong Wang +3
cs.CVcs.LGeess.IVarXiv:1908.10357v32019
Contrastive Representation-Guided Genetic Minority Oversampling for Imbalanced Time-Series Classification
Wenbin Pei, Yunrong Hao, Zhen Liu +4
cs.LGarXiv:2608.22804v12026
PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel
Yanli Zhao, Andrew Gu, Rohan Varma +15
cs.DCcs.AIcs.LGarXiv:2304.11277v22023
Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders
Paul Bergmann, Sindy Löwe, Michael Fauser +2
cs.CVcs.LGarXiv:1807.02011v32018
NAS-Bench-101: Towards Reproducible Neural Architecture Search
Chris Ying, Aaron Klein, Esteban Real +3
cs.LGstat.MLarXiv:1902.09635v22019
Multi-task Sequence to Sequence Learning
Minh-Thang Luong, Quoc V. Le, Ilya Sutskever +2
cs.LGcs.CLstat.MLarXiv:1511.06114v42015
Variable Rate Image Compression with Recurrent Neural Networks
George Toderici, Sean M. O'Malley, Sung Jin Hwang +5
cs.CVcs.LGcs.NEarXiv:1511.06085v52015
Beyond Low-frequency Information in Graph Convolutional Networks
Deyu Bo, Xiao Wang, Chuan Shi +1
cs.LGcs.SIarXiv:2101.00797v12021
The $\mathbf{Y}$-Combinator for LLMs: Solving Long-Context Rot with $λ$-Calculus
Amartya Roy, Rasul Tutunov, Xiaotong Ji +2
cs.LGcs.AIarXiv:2603.20105v12026
WorldVQA: Measuring Atomic World Knowledge in Multimodal Large Language Models
Runjie Zhou, Youbo Shao, Haoyu Lu +16
cs.CVcs.LGarXiv:2602.02537v12026
Benchmarking Large Language Models for News Summarization
Tianyi Zhang, Faisal Ladhak, Esin Durmus +3
cs.CLcs.AIcs.LGarXiv:2301.13848v12023
Knowledge is Not Enough: Injecting RL Skills for Continual Adaptation
Pingzhi Tang, Yiding Wang, Muhan Zhang
cs.LGcs.AIcs.CLarXiv:2601.11258v22026
VoxServe: Streaming-Centric Serving System for Speech Language Models
Keisuke Kamahori, Wei-Tzu Lee, Atindra Jha +4
cs.LGcs.AIcs.DCarXiv:2602.00269v12026
QuantLRM: Quantization of Large Reasoning Models via Fine-Tuning Signals
Nan Zhang, Eugene Kwek, Yusen Zhang +4
cs.LGcs.AIarXiv:2602.02581v12026
Automatic Differentiation Variational Inference
Alp Kucukelbir, Dustin Tran, Rajesh Ranganath +2
stat.MLcs.AIcs.LGarXiv:1603.00788v12016
Aligning Agentic World Models via Knowledgeable Experience Learning
Baochang Ren, Yunzhi Yao, Rui Sun +3
cs.CLcs.AIcs.CVarXiv:2601.13247v12026
Spiking Neural Networks for Continuous Control: Neuromorphic Reinforcement Learning in Conventional Computing
Jessica Hunter, Md Maruf Hossain Shuvo, Krishna Roy
cs.LGcs.NEarXiv:2608.22729v12026
SEVerA: Verified Synthesis of Self-Evolving Agents
Debangshu Banerjee, Changming Xu, Eugene Ie +4
cs.LGcs.PLcs.SEarXiv:2603.25111v22026

Machine Learning

Rethinking Graph Transformers with Spectral Attention

Making LLMs Optimize Multi-Scenario CUDA Kernels Like Experts

Efficient RLVR Training via Weighted Mutual Information Data Selection

FlashMotion: Few-Step Controllable Video Generation with Trajectory Guidance

Interactive Benchmarks

Neural Boltzmann Equations

Balanced Meta-Softmax for Long-Tailed Visual Recognition

A Survey on Data Collection for Machine Learning: a Big Data -- AI Integration Perspective

Independently Recurrent Neural Network (IndRNN): Building A Longer and Deeper RNN

Teaching Models to Express Their Uncertainty in Words

Sample Efficient Actor-Critic with Experience Replay

RDT-1B: a Diffusion Foundation Model for Bimanual Manipulation

Credal Large Language Models for Semantic Commitment under Uncertainty

Federated Optimization:Distributed Optimization Beyond the Datacenter

Deep Semantic Segmentation of Natural and Medical Images: A Review

Sum-Product Networks: A New Deep Architecture

A Note on the Inception Score

Learning Self-Correction in Vision-Language Models via Rollout Augmentation

Discovering Latent Knowledge in Language Models Without Supervision

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

GradMem: Learning to Write Context into Memory with Test-Time Gradient Descent

Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference

Bayesian Deep Learning and a Probabilistic Perspective of Generalization

cGANs with Projection Discriminator

Robust Tool Use via Fission-GRPO: Learning to Recover from Execution Errors

Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks

Learning Scheduling Algorithms for Data Processing Clusters

Distilling Conversations: Abstract Compression of Conversational Audio Context for LLM-based ASR

Doubly Robust Policy Evaluation and Learning

Graph neural networks for materials science and chemistry

TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data

Effective Distillation to Hybrid xLSTM Architectures

Style Transfer from Non-Parallel Text by Cross-Alignment

End-to-End Safe Reinforcement Learning through Barrier Functions for Safety-Critical Continuous Control Tasks

Insight-V++: Towards Advanced Long-Chain Visual Reasoning with Multimodal Large Language Models

BC-Z: Zero-Shot Task Generalization with Robotic Imitation Learning

Large Language Models Are Zero-Shot Time Series Forecasters

A decoder-only foundation model for time-series forecasting

Flow-based Extremal Mathematical Structure Discovery

Neural Fields in Visual Computing and Beyond

FROST: Filtering Reasoning Outliers with Attention for Efficient Reasoning

Self-Improving Pretraining: using post-trained models to pretrain better models

HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation

Contrastive Representation-Guided Genetic Minority Oversampling for Imbalanced Time-Series Classification

PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel

Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders

NAS-Bench-101: Towards Reproducible Neural Architecture Search

Multi-task Sequence to Sequence Learning

Variable Rate Image Compression with Recurrent Neural Networks

Beyond Low-frequency Information in Graph Convolutional Networks

The $\mathbf{Y}$-Combinator for LLMs: Solving Long-Context Rot with $λ$-Calculus

WorldVQA: Measuring Atomic World Knowledge in Multimodal Large Language Models

Benchmarking Large Language Models for News Summarization

Knowledge is Not Enough: Injecting RL Skills for Continual Adaptation

VoxServe: Streaming-Centric Serving System for Speech Language Models

QuantLRM: Quantization of Large Reasoning Models via Fine-Tuning Signals

Automatic Differentiation Variational Inference

Aligning Agentic World Models via Knowledgeable Experience Learning

Spiking Neural Networks for Continuous Control: Neuromorphic Reinforcement Learning in Conventional Computing

SEVerA: Verified Synthesis of Self-Evolving Agents