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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1,921 to 1,980 of 20,454

Direct-Manipulation Visualization of Deep Networks
Daniel Smilkov, Shan Carter, D. Sculley +2
cs.LGcs.HCstat.MLarXiv:1708.03788v12017
Automated Variational Inference in Probabilistic Programming
David Wingate, Theophane Weber
stat.MLcs.AIcs.LGarXiv:1301.1299v12013
LOCUS: Task-Aware Low-Rank Post-Training for Token-Efficient Language Generation
Dongfang Zhao
cs.CLcs.AIcs.LGarXiv:2609.11739v12026
Obstacle Tower: A Generalization Challenge in Vision, Control, and Planning
Arthur Juliani, Ahmed Khalifa, Vincent-Pierre Berges +6
cs.AIcs.LGarXiv:1902.01378v22019
Towards neural networks that provably know when they don't know
Alexander Meinke, Matthias Hein
cs.LGcs.CVstat.MLarXiv:1909.12180v22019
Negative Self-Distillation: Learning to Reason by Avoiding Flaws
Rongcan Pei, Zhepei Wei, Shuyao Xu +3
cs.CLcs.LGarXiv:2609.11699v12026
Global Encoding for Abstractive Summarization
Junyang Lin, Xu Sun, Shuming Ma +1
cs.CLcs.AIcs.LGarXiv:1805.03989v22018
Generative AI in the Construction Industry: Opportunities & Challenges
Prashnna Ghimire, Kyungki Kim, Manoj Acharya
cs.AIcs.LGarXiv:2310.04427v12023
On Learning Sets of Symmetric Elements
Haggai Maron, Or Litany, Gal Chechik +1
cs.LGstat.MLarXiv:2002.08599v42020
Pre-gated MoE: An Algorithm-System Co-Design for Fast and Scalable Mixture-of-Expert Inference
Ranggi Hwang, Jianyu Wei, Shijie Cao +4
cs.LGcs.AIcs.ARarXiv:2308.12066v32023
Structural priors for data-efficient language learning
Yana Veitsman, Jonas Mayer Martins, Jonathan Lautenschlager +1
cs.CLcs.AIcs.LGarXiv:2609.11505v12026
An Analysis of ISO 26262: Using Machine Learning Safely in Automotive Software
Rick Salay, Rodrigo Queiroz, Krzysztof Czarnecki
cs.AIcs.LGcs.SEarXiv:1709.02435v12017
FasterViT: Fast Vision Transformers with Hierarchical Attention
Ali Hatamizadeh, Greg Heinrich, Hongxu Yin +4
cs.CVcs.AIcs.LGarXiv:2306.06189v22023
E-CONAN (Entailment, CONtradition And Neutral) Benchmarks: Arabic Textual Entailment and Natural Inference Datasets
Khloud AL Jallad, Nada Ghneim, Ghaida Rebdawi
cs.CLcs.AIcs.LGarXiv:2609.11334v12026
XGBOD: Improving Supervised Outlier Detection with Unsupervised Representation Learning
Yue Zhao, Maciej K. Hryniewicki
cs.LGcs.DBcs.IRarXiv:1912.00290v12019
Block-Recurrent Transformers
DeLesley Hutchins, Imanol Schlag, Yuhuai Wu +2
cs.LGcs.AIcs.NEarXiv:2203.07852v32022
VCT: A Video Compression Transformer
Fabian Mentzer, George Toderici, David Minnen +4
cs.CVcs.LGeess.IVarXiv:2206.07307v22022
DeepFilterNet: A Low Complexity Speech Enhancement Framework for Full-Band Audio based on Deep Filtering
Hendrik Schröter, Alberto N. Escalante-B., Tobias Rosenkranz +1
eess.AScs.LGeess.SParXiv:2110.05588v22021
Performance-Efficiency Trade-offs in Unsupervised Pre-training for Speech Recognition
Felix Wu, Kwangyoun Kim, Jing Pan +3
cs.CLcs.LGcs.SDarXiv:2109.06870v12021
Preference-based Online Learning with Dueling Bandits: A Survey
Viktor Bengs, Robert Busa-Fekete, Adil El Mesaoudi-Paul +1
cs.LGstat.MLarXiv:1807.11398v22018
Radio Frequency Fingerprint Identification for LoRa Using Spectrogram and CNN
Guanxiong Shen, Junqing Zhang, Alan Marshall +2
eess.SPcs.LGarXiv:2101.01668v12020
On Network Design Spaces for Visual Recognition
Ilija Radosavovic, Justin Johnson, Saining Xie +2
cs.CVcs.LGarXiv:1905.13214v12019
Interpretable Distribution Features with Maximum Testing Power
Wittawat Jitkrittum, Zoltan Szabo, Kacper Chwialkowski +1
stat.MLcs.LGarXiv:1605.06796v22016
AIDE: Fast and Communication Efficient Distributed Optimization
Sashank J. Reddi, Jakub Konečný, Peter Richtárik +2
math.OCcs.LGstat.MLarXiv:1608.06879v12016
CKConv: Continuous Kernel Convolution For Sequential Data
David W. Romero, Anna Kuzina, Erik J. Bekkers +2
cs.LGarXiv:2102.02611v32021
Improving Generalization via Scalable Neighborhood Component Analysis
Zhirong Wu, Alexei A. Efros, Stella X. Yu
cs.CVcs.LGarXiv:1808.04699v12018
Projected Subgradient Methods for Learning Sparse Gaussians
John Duchi, Stephen Gould, Daphne Koller
cs.LGstat.MLarXiv:1206.3249v12012
From voxels to pixels and back: Self-supervision in natural-image reconstruction from fMRI
Roman Beliy, Guy Gaziv, Assaf Hoogi +3
eess.IVcs.LGq-bio.NCarXiv:1907.02431v12019
Optimal approximate matrix product in terms of stable rank
Michael B. Cohen, Jelani Nelson, David P. Woodruff
cs.DScs.LGstat.MLarXiv:1507.02268v32015
DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation
Shentong Mo, Enze Xie, Ruihang Chu +4
cs.CVcs.AIcs.LGarXiv:2307.01831v12023
Loss of Plasticity in Continual Deep Reinforcement Learning
Zaheer Abbas, Rosie Zhao, Joseph Modayil +2
cs.LGcs.AIarXiv:2303.07507v12023
RiNALMo: General-Purpose RNA Language Models Can Generalize Well on Structure Prediction Tasks
Rafael Josip Penić, Tin Vlašić, Roland G. Huber +2
q-bio.BMcs.LGarXiv:2403.00043v22024
A Fragility Spectrum for Recursive Language-Model Training
Yangze Liu, Zhongyi Han
cs.CLcs.AIcs.LGarXiv:2609.11149v12026
Self-Distillation as Instance-Specific Label Smoothing
Zhilu Zhang, Mert R. Sabuncu
cs.LGstat.MLarXiv:2006.05065v22020
Decentralized Federated Learning: A Survey on Security and Privacy
Ehsan Hallaji, Roozbeh Razavi-Far, Mehrdad Saif +2
cs.CRcs.AIcs.LGarXiv:2401.17319v12024
A Survey on Uncertainty Quantification Methods for Deep Learning
Wenchong He, Zhe Jiang, Tingsong Xiao +2
cs.LGstat.MLarXiv:2302.13425v72023
Penetrative AI: Making LLMs Comprehend the Physical World
Huatao Xu, Liying Han, Qirui Yang +2
cs.AIcs.LGarXiv:2310.09605v32023
LaVR: Scene Latent Conditioned Generative Video Trajectory Re-Rendering using Large 4D Reconstruction Models
Mingyang Xie, Numair Khan, Tianfu Wang +8
cs.CVcs.LGarXiv:2601.14674v22026
HittER: Hierarchical Transformers for Knowledge Graph Embeddings
Sanxing Chen, Xiaodong Liu, Jianfeng Gao +3
cs.CLcs.LGarXiv:2008.12813v22020
Likely to stop? Predicting Stopout in Massive Open Online Courses
Colin Taylor, Kalyan Veeramachaneni, Una-May O'Reilly
cs.CYcs.LGarXiv:1408.3382v12014
Does Neural Machine Translation Benefit from Larger Context?
Sebastien Jean, Stanislas Lauly, Orhan Firat +1
stat.MLcs.CLcs.LGarXiv:1704.05135v12017
TableFormer: Table Structure Understanding with Transformers
Ahmed Nassar, Nikolaos Livathinos, Maksym Lysak +1
cs.CVcs.LGarXiv:2203.01017v22022
ImageCAS: A Large-Scale Dataset and Benchmark for Coronary Artery Segmentation based on Computed Tomography Angiography Images
An Zeng, Chunbiao Wu, Meiping Huang +10
eess.IVcs.LGarXiv:2211.01607v22022
HyperImpute: Generalized Iterative Imputation with Automatic Model Selection
Daniel Jarrett, Bogdan Cebere, Tennison Liu +2
stat.MLcs.LGarXiv:2206.07769v12022
Combinatorial Multi-Armed Bandit with General Reward Functions
Wei Chen, Wei Hu, Fu Li +3
cs.LGcs.DSstat.MLarXiv:1610.06603v42016
Have Faith in Faithfulness: Going Beyond Circuit Overlap When Finding Model Mechanisms
Michael Hanna, Sandro Pezzelle, Yonatan Belinkov
cs.LGcs.CLarXiv:2403.17806v22024
How Useful is Self-Supervised Pretraining for Visual Tasks?
Alejandro Newell, Jia Deng
cs.CVcs.LGarXiv:2003.14323v12020
Structured Graph Learning for Clustering and Semi-supervised Classification
Zhao Kang, Chong Peng, Qiang Cheng +4
cs.LGcs.AIcs.CVarXiv:2008.13429v12020
Extreme Gradient Boosting for Yield Estimation compared with Deep Learning Approaches
Florian Huber, Artem Yushchenko, Benedikt Stratmann +1
cs.LGarXiv:2208.12633v12022
TFAD: A Decomposition Time Series Anomaly Detection Architecture with Time-Frequency Analysis
Chaoli Zhang, Tian Zhou, Qingsong Wen +1
cs.LGcs.AIarXiv:2210.09693v22022
Self-supervised Knowledge Distillation Using Singular Value Decomposition
Seung Hyun Lee, Dae Ha Kim, Byung Cheol Song
cs.LGcs.CVstat.MLarXiv:1807.06819v12018
Rebalancing Token Importance in Language Models with TF-IDF Weighted Cross-Entropy Loss
Zhijian Li, Stefan Larson, Kevin Leach
cs.CLcs.LGarXiv:2609.11029v12026
Time Series Change Point Detection with Self-Supervised Contrastive Predictive Coding
Shohreh Deldari, Daniel V. Smith, Hao Xue +1
cs.LGcs.AIcs.CVarXiv:2011.14097v52020
Model-based Exploration of the Frontier of Behaviours for Deep Learning System Testing
Vincenzo Riccio, Paolo Tonella
cs.SEcs.AIcs.LGarXiv:2007.02787v12020
DMD: A Large-Scale Multi-Modal Driver Monitoring Dataset for Attention and Alertness Analysis
Juan Diego Ortega, Neslihan Kose, Paola Cañas +5
cs.CVcs.LGeess.IVarXiv:2008.12085v12020
Influence-Preserving Proxies for Gradient-Based Data Selection in LLM Fine-tuning
Sirui Chen, Yunzhe Qi, Mengting Ai +4
cs.LGarXiv:2602.17835v12026
PEER: A Comprehensive and Multi-Task Benchmark for Protein Sequence Understanding
Minghao Xu, Zuobai Zhang, Jiarui Lu +5
cs.LGarXiv:2206.02096v22022
A Positive Case for Faithfulness: LLM Self-Explanations Help Predict Model Behavior
Harry Mayne, Justin Singh Kang, Dewi Gould +3
cs.AIcs.LGarXiv:2602.02639v12026
When Noise Fabricates Bias: The Fragility of LLM-as-a-Judge Bias Measurement under Noisy Text
DongHyun Ryu, Jaehyeok Lee, YeongJun Hwang +1
cs.CLcs.LGarXiv:2609.11067v12026
Cultural Alignment in Large Language Models: An Explanatory Analysis Based on Hofstede's Cultural Dimensions
Reem I. Masoud, Ziquan Liu, Martin Ferianc +2
cs.CYcs.CLcs.LGarXiv:2309.12342v22023

Machine Learning

Direct-Manipulation Visualization of Deep Networks

Automated Variational Inference in Probabilistic Programming

LOCUS: Task-Aware Low-Rank Post-Training for Token-Efficient Language Generation

Obstacle Tower: A Generalization Challenge in Vision, Control, and Planning

Towards neural networks that provably know when they don't know

Negative Self-Distillation: Learning to Reason by Avoiding Flaws

Global Encoding for Abstractive Summarization

Generative AI in the Construction Industry: Opportunities & Challenges

On Learning Sets of Symmetric Elements

Pre-gated MoE: An Algorithm-System Co-Design for Fast and Scalable Mixture-of-Expert Inference

Structural priors for data-efficient language learning

An Analysis of ISO 26262: Using Machine Learning Safely in Automotive Software

FasterViT: Fast Vision Transformers with Hierarchical Attention

E-CONAN (Entailment, CONtradition And Neutral) Benchmarks: Arabic Textual Entailment and Natural Inference Datasets

XGBOD: Improving Supervised Outlier Detection with Unsupervised Representation Learning

Block-Recurrent Transformers

VCT: A Video Compression Transformer

DeepFilterNet: A Low Complexity Speech Enhancement Framework for Full-Band Audio based on Deep Filtering

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

Preference-based Online Learning with Dueling Bandits: A Survey

Radio Frequency Fingerprint Identification for LoRa Using Spectrogram and CNN

On Network Design Spaces for Visual Recognition

Interpretable Distribution Features with Maximum Testing Power

AIDE: Fast and Communication Efficient Distributed Optimization

CKConv: Continuous Kernel Convolution For Sequential Data

Improving Generalization via Scalable Neighborhood Component Analysis

Projected Subgradient Methods for Learning Sparse Gaussians

From voxels to pixels and back: Self-supervision in natural-image reconstruction from fMRI

Optimal approximate matrix product in terms of stable rank

DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation

Loss of Plasticity in Continual Deep Reinforcement Learning

RiNALMo: General-Purpose RNA Language Models Can Generalize Well on Structure Prediction Tasks

A Fragility Spectrum for Recursive Language-Model Training

Self-Distillation as Instance-Specific Label Smoothing

Decentralized Federated Learning: A Survey on Security and Privacy

A Survey on Uncertainty Quantification Methods for Deep Learning

Penetrative AI: Making LLMs Comprehend the Physical World

LaVR: Scene Latent Conditioned Generative Video Trajectory Re-Rendering using Large 4D Reconstruction Models

HittER: Hierarchical Transformers for Knowledge Graph Embeddings

Likely to stop? Predicting Stopout in Massive Open Online Courses

Does Neural Machine Translation Benefit from Larger Context?

TableFormer: Table Structure Understanding with Transformers

ImageCAS: A Large-Scale Dataset and Benchmark for Coronary Artery Segmentation based on Computed Tomography Angiography Images

HyperImpute: Generalized Iterative Imputation with Automatic Model Selection

Combinatorial Multi-Armed Bandit with General Reward Functions

Have Faith in Faithfulness: Going Beyond Circuit Overlap When Finding Model Mechanisms

How Useful is Self-Supervised Pretraining for Visual Tasks?

Structured Graph Learning for Clustering and Semi-supervised Classification

Extreme Gradient Boosting for Yield Estimation compared with Deep Learning Approaches

TFAD: A Decomposition Time Series Anomaly Detection Architecture with Time-Frequency Analysis

Self-supervised Knowledge Distillation Using Singular Value Decomposition

Rebalancing Token Importance in Language Models with TF-IDF Weighted Cross-Entropy Loss

Time Series Change Point Detection with Self-Supervised Contrastive Predictive Coding

Model-based Exploration of the Frontier of Behaviours for Deep Learning System Testing

DMD: A Large-Scale Multi-Modal Driver Monitoring Dataset for Attention and Alertness Analysis

Influence-Preserving Proxies for Gradient-Based Data Selection in LLM Fine-tuning

PEER: A Comprehensive and Multi-Task Benchmark for Protein Sequence Understanding

A Positive Case for Faithfulness: LLM Self-Explanations Help Predict Model Behavior

When Noise Fabricates Bias: The Fragility of LLM-as-a-Judge Bias Measurement under Noisy Text

Cultural Alignment in Large Language Models: An Explanatory Analysis Based on Hofstede's Cultural Dimensions