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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22,861 to 22,920 of 33,632

ViTGAN: Training GANs with Vision Transformers
Kwonjoon Lee, Huiwen Chang, Lu Jiang +3
cs.CVcs.LGeess.IVarXiv:2107.04589v22021
Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks
Andrea Cini, Ivan Marisca, Cesare Alippi
cs.LGcs.AIarXiv:2108.00298v32021
The Fast Convergence of Incremental PCA
Akshay Balsubramani, Sanjoy Dasgupta, Yoav Freund
cs.LGstat.MLarXiv:1501.03796v12015
Deep learning for comprehensive forecasting of Alzheimer's Disease progression
Charles K. Fisher, Aaron M. Smith, Jonathan R. Walsh +1
cs.LGq-bio.QMstat.MLarXiv:1807.03876v22018
Pruning vs Quantization: Which is Better?
Andrey Kuzmin, Markus Nagel, Mart van Baalen +2
cs.LGarXiv:2307.02973v22023
Q-PhotoMarket: A Design Space Exploration Framework for Photonic Hybrid Quantum Neural Networks in Financial Market Prediction
Alberto Marchisio, Hanzalah Mohamed Siraj, Muhammad Kashif +2
quant-phcs.LGarXiv:2610.09641v12026
Evolution Strategies at Scale: LLM Fine-Tuning Beyond Reinforcement Learning
Xin Qiu, Yulu Gan, Conor F. Hayes +6
cs.LGcs.AIcs.NEarXiv:2509.24372v32025
TTCS: Test-Time Curriculum Synthesis for Self-Evolving
Chengyi Yang, Zhishang Xiang, Yunbo Tang +5
cs.LGcs.AIcs.CLarXiv:2601.22628v12026
Adversarial Attacks on Stochastic Bandits
Kwang-Sung Jun, Lihong Li, Yuzhe Ma +1
cs.LGcs.AIcs.CRarXiv:1810.12188v12018
Translation Artifacts in Cross-lingual Transfer Learning
Mikel Artetxe, Gorka Labaka, Eneko Agirre
cs.CLcs.LGarXiv:2004.04721v42020
Nemotron 3 Ultra: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning
NVIDIA, :, Aaron Blakeman +571
cs.CLcs.AIcs.LGarXiv:2606.15007v12026
Different Corruptions, Different Signals: Uncertainty and Loss in Federated Data Quality
Bradley Scott, Zeqi Luo, Edmond S. L. Ho
cs.LGcs.AIcs.CVarXiv:2609.31454v12026
Rephrase and Respond: Let Large Language Models Ask Better Questions for Themselves
Yihe Deng, Weitong Zhang, Zixiang Chen +1
cs.CLcs.AIcs.LGarXiv:2311.04205v22023
OpenHail: An Event-Driven Gymnasium Environment for Electric Ride-Hailing Fleet Control
Tommaso Schettini, Nicholas D. Kullman, Jorge E. Mendoza
cs.LGmath.OCarXiv:2609.30628v12026
Towards Deep Symbolic Reinforcement Learning
Marta Garnelo, Kai Arulkumaran, Murray Shanahan
cs.AIcs.LGarXiv:1609.05518v22016
Automated Optimization Modeling via a Localizable Error-Driven Perspective
Weiting Liu, Han Wu, Yufei Kuang +4
cs.LGcs.AIcs.CLarXiv:2602.11164v12026
Online Learning with Vector Costs and Bandits with Knapsacks
Thomas Kesselheim, Sahil Singla
cs.LGcs.DScs.GTarXiv:2010.07346v12020
3D-LLM: Injecting the 3D World into Large Language Models
Yining Hong, Haoyu Zhen, Peihao Chen +4
cs.CVcs.AIcs.CLarXiv:2307.12981v12023
AdaPlanner: Adaptive Planning from Feedback with Language Models
Haotian Sun, Yuchen Zhuang, Lingkai Kong +2
cs.CLcs.AIcs.LGarXiv:2305.16653v12023
Cognitive Mirage: A Review of Hallucinations in Large Language Models
Hongbin Ye, Tong Liu, Aijia Zhang +2
cs.CLcs.AIcs.LGarXiv:2309.06794v12023
Bridging the Gap between Training and Inference for Neural Machine Translation
Wen Zhang, Yang Feng, Fandong Meng +2
cs.CLcs.LGstat.MLarXiv:1906.02448v22019
Object-aware Contrastive Learning for Debiased Scene Representation
Sangwoo Mo, Hyunwoo Kang, Kihyuk Sohn +2
cs.CVcs.LGarXiv:2108.00049v22021
Machine Unlearning: Taxonomy, Metrics, Applications, Challenges, and Prospects
Na Li, Chunyi Zhou, Yansong Gao +4
cs.LGcs.CRcs.CYarXiv:2403.08254v12024
Discovery of Latent 3D Keypoints via End-to-end Geometric Reasoning
Supasorn Suwajanakorn, Noah Snavely, Jonathan Tompson +1
cs.CVcs.LGstat.MLarXiv:1807.03146v22018
Are Near-Tied LLM Rankings Robust to Family-DIF-Guided Benchmark Recomposition?
Qiaoyuan Zheng, Yiqu Yang
cs.CLcs.LGarXiv:2609.00482v12026
FLAC: Maximum Entropy RL via Kinetic Energy Regularized Bridge Matching
Lei Lv, Yunfei Li, Yu Luo +2
cs.LGcs.AIarXiv:2602.12829v12026
iVideoGPT: Interactive VideoGPTs are Scalable World Models
Jialong Wu, Shaofeng Yin, Ningya Feng +4
cs.CVcs.LGcs.ROarXiv:2405.15223v32024
Training Robust Deep Neural Networks via Adversarial Noise Propagation
Aishan Liu, Xianglong Liu, Chongzhi Zhang +3
cs.LGcs.CVarXiv:1909.09034v22019
RenderFormer-V2: Neural Rendering with Heterogeneous Scene Primitives
Chong Zeng, Yue Dong, Pieter Peers +2
cs.CVcs.GRcs.LGarXiv:2609.05738v12026
A Categorical Archive of ChatGPT Failures
Ali Borji
cs.CLcs.AIcs.LGarXiv:2302.03494v82023
Spend Search Where It Pays: Value-Guided Structured Sampling and Optimization for Generative Recommendation
Jie Jiang, Yangru Huang, Zeyu Wang +4
cs.AIcs.LGarXiv:2602.10699v22026
Transformers are Graph Neural Networks
Chaitanya K. Joshi
cs.LGcs.AIarXiv:2506.22084v12025
Integrating Learning and Reasoning with Deep Logic Models
Giuseppe Marra, Francesco Giannini, Michelangelo Diligenti +1
cs.LGstat.MLarXiv:1901.04195v12019
Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting
Peng Chen, Yingying Zhang, Yunyao Cheng +5
cs.LGarXiv:2402.05956v52024
FedAdapt: Adaptive Offloading for IoT Devices in Federated Learning
Di Wu, Rehmat Ullah, Paul Harvey +3
cs.DCcs.LGarXiv:2107.04271v52021
SDFusion: Multimodal 3D Shape Completion, Reconstruction, and Generation
Yen-Chi Cheng, Hsin-Ying Lee, Sergey Tulyakov +2
cs.CVcs.LGarXiv:2212.04493v22022
From Data to Behavior: Predicting Unintended Model Behaviors Before Training
Mengru Wang, Zhenqian Xu, Junfeng Fang +4
cs.LGcs.AIcs.CLarXiv:2602.04735v12026
A Study of Conditional Diffusion Models for Open-Loop Control under Dry Friction and Stiction
Eric Aislan Antonelo
cs.LGarXiv:2609.01756v12026
LongCat-Flash Technical Report
Meituan LongCat Team, Bayan, Bei Li +179
cs.CLcs.AIcs.DCarXiv:2509.01322v22025
VLMLight: Safety-Critical Traffic Signal Control via Vision-Language Meta-Control and Dual-Branch Reasoning Architecture
Maonan Wang, Yirong Chen, Aoyu Pang +4
eess.SYcs.LGcs.MAarXiv:2505.19486v22025
Clustering in graphs and hypergraphs with categorical edge labels
Ilya Amburg, Nate Veldt, Austin R. Benson
cs.SIcs.LGphysics.soc-pharXiv:1910.09943v22019
ScaleDiff: Scaling Difficult Problems for Advanced Mathematical Reasoning
Qizhi Pei, Zhuoshi Pan, Honglin Lin +6
cs.LGcs.AIcs.CLarXiv:2509.21070v12025
Blockwise Advantage Estimation for Multi-Objective RL with Verifiable Rewards
Kirill Pavlenko, Alexander Golubev, Simon Karasik +1
cs.LGcs.AIcs.CLarXiv:2602.10231v12026
Product-based Neural Networks for User Response Prediction over Multi-field Categorical Data
Yanru Qu, Bohui Fang, Weinan Zhang +5
cs.IRcs.LGstat.MLarXiv:1807.00311v12018
Simple Actors and Deep Critics for Scalable Reinforcement Learning
Guhyeon Kang, Jaehwi Lee, Minhae Kwon
cs.LGarXiv:2608.26659v12026
Parallel WaveNet: Fast High-Fidelity Speech Synthesis
Aaron van den Oord, Yazhe Li, Igor Babuschkin +19
cs.LGarXiv:1711.10433v12017
Re-evaluating Evaluation in Text Summarization
Manik Bhandari, Pranav Gour, Atabak Ashfaq +2
cs.CLcs.IRcs.LGarXiv:2010.07100v12020
Planning to Learn
Ian Osband
cs.LGmath.OCstat.MLarXiv:2610.03667v12026
Surprisal-Guided Selection: Compute-Optimal Test-Time Strategies for Execution-Grounded Code Generation
Jarrod Barnes
cs.LGcs.AIarXiv:2602.07670v12026
Sylvester Normalizing Flows for Variational Inference
Rianne van den Berg, Leonard Hasenclever, Jakub M. Tomczak +1
stat.MLcs.AIcs.LGarXiv:1803.05649v22018
Fourth-Moment Geometry of Rademacher Sums
Peigan Gao, Jian Qian
cs.LGmath.PRarXiv:2608.17802v12026
Variational Inference with Tail-adaptive f-Divergence
Dilin Wang, Hao Liu, Qiang Liu
cs.LGstat.MLarXiv:1810.11943v32018
Stemphonic: All-at-once Flexible Multi-stem Music Generation
Shih-Lun Wu, Ge Zhu, Juan-Pablo Caceres +2
cs.SDcs.LGcs.MMarXiv:2602.09891v12026
In-Context Learning to Assess Built Environment Impacts on Perceived Neighborhood Walkability Among Mobility-impaired Older Adults
Houhao Liang, Kresimir Friganovic, Joanne Kua +5
cs.LGstat.AParXiv:2608.14663v12026
Spectral Methods for Learning Multivariate Latent Tree Structure
Animashree Anandkumar, Kamalika Chaudhuri, Daniel Hsu +3
cs.LGstat.MLarXiv:1107.1283v22011
Localizing Object-level Shape Variations with Text-to-Image Diffusion Models
Or Patashnik, Daniel Garibi, Idan Azuri +2
cs.CVcs.GRcs.LGarXiv:2303.11306v22023
Deep Lagrangian Networks: Using Physics as Model Prior for Deep Learning
Michael Lutter, Christian Ritter, Jan Peters
cs.LGcs.ROeess.SYarXiv:1907.04490v12019
SOFT: Softmax-free Transformer with Linear Complexity
Jiachen Lu, Jinghan Yao, Junge Zhang +6
cs.CVcs.AIcs.LGarXiv:2110.11945v32021
When NAS Meets Robustness: In Search of Robust Architectures against Adversarial Attacks
Minghao Guo, Yuzhe Yang, Rui Xu +2
cs.LGcs.CRcs.CVarXiv:1911.10695v32019
Performance-Efficiency Trade-offs in Unsupervised Pre-training for Speech Recognition
Felix Wu, Kwangyoun Kim, Jing Pan +3
cs.CLcs.LGcs.SDarXiv:2109.06870v12021

Machine Learning

ViTGAN: Training GANs with Vision Transformers

Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks

The Fast Convergence of Incremental PCA

Deep learning for comprehensive forecasting of Alzheimer's Disease progression

Pruning vs Quantization: Which is Better?

Q-PhotoMarket: A Design Space Exploration Framework for Photonic Hybrid Quantum Neural Networks in Financial Market Prediction

Evolution Strategies at Scale: LLM Fine-Tuning Beyond Reinforcement Learning

TTCS: Test-Time Curriculum Synthesis for Self-Evolving

Adversarial Attacks on Stochastic Bandits

Translation Artifacts in Cross-lingual Transfer Learning

Nemotron 3 Ultra: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning

Different Corruptions, Different Signals: Uncertainty and Loss in Federated Data Quality

Rephrase and Respond: Let Large Language Models Ask Better Questions for Themselves

OpenHail: An Event-Driven Gymnasium Environment for Electric Ride-Hailing Fleet Control

Towards Deep Symbolic Reinforcement Learning

Automated Optimization Modeling via a Localizable Error-Driven Perspective

Online Learning with Vector Costs and Bandits with Knapsacks

3D-LLM: Injecting the 3D World into Large Language Models

AdaPlanner: Adaptive Planning from Feedback with Language Models

Cognitive Mirage: A Review of Hallucinations in Large Language Models

Bridging the Gap between Training and Inference for Neural Machine Translation

Object-aware Contrastive Learning for Debiased Scene Representation

Machine Unlearning: Taxonomy, Metrics, Applications, Challenges, and Prospects

Discovery of Latent 3D Keypoints via End-to-end Geometric Reasoning

Are Near-Tied LLM Rankings Robust to Family-DIF-Guided Benchmark Recomposition?

FLAC: Maximum Entropy RL via Kinetic Energy Regularized Bridge Matching

iVideoGPT: Interactive VideoGPTs are Scalable World Models

Training Robust Deep Neural Networks via Adversarial Noise Propagation

RenderFormer-V2: Neural Rendering with Heterogeneous Scene Primitives

A Categorical Archive of ChatGPT Failures

Spend Search Where It Pays: Value-Guided Structured Sampling and Optimization for Generative Recommendation

Transformers are Graph Neural Networks

Integrating Learning and Reasoning with Deep Logic Models

Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting

FedAdapt: Adaptive Offloading for IoT Devices in Federated Learning

SDFusion: Multimodal 3D Shape Completion, Reconstruction, and Generation

From Data to Behavior: Predicting Unintended Model Behaviors Before Training

A Study of Conditional Diffusion Models for Open-Loop Control under Dry Friction and Stiction

LongCat-Flash Technical Report

VLMLight: Safety-Critical Traffic Signal Control via Vision-Language Meta-Control and Dual-Branch Reasoning Architecture

Clustering in graphs and hypergraphs with categorical edge labels

ScaleDiff: Scaling Difficult Problems for Advanced Mathematical Reasoning

Blockwise Advantage Estimation for Multi-Objective RL with Verifiable Rewards

Product-based Neural Networks for User Response Prediction over Multi-field Categorical Data

Simple Actors and Deep Critics for Scalable Reinforcement Learning

Parallel WaveNet: Fast High-Fidelity Speech Synthesis

Re-evaluating Evaluation in Text Summarization

Planning to Learn

Surprisal-Guided Selection: Compute-Optimal Test-Time Strategies for Execution-Grounded Code Generation

Sylvester Normalizing Flows for Variational Inference

Fourth-Moment Geometry of Rademacher Sums

Variational Inference with Tail-adaptive f-Divergence

Stemphonic: All-at-once Flexible Multi-stem Music Generation

In-Context Learning to Assess Built Environment Impacts on Perceived Neighborhood Walkability Among Mobility-impaired Older Adults

Spectral Methods for Learning Multivariate Latent Tree Structure

Localizing Object-level Shape Variations with Text-to-Image Diffusion Models

Deep Lagrangian Networks: Using Physics as Model Prior for Deep Learning

SOFT: Softmax-free Transformer with Linear Complexity

When NAS Meets Robustness: In Search of Robust Architectures against Adversarial Attacks

Performance-Efficiency Trade-offs in Unsupervised Pre-training for Speech Recognition