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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22,381 to 22,440 of 33,202

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
Fine-Tuning Language Models from Human Preferences
Daniel M. Ziegler, Nisan Stiennon, Jeffrey Wu +5
cs.CLcs.LGstat.MLarXiv:1909.08593v22019
Convergence Analysis of Two-layer Neural Networks with ReLU Activation
Yuanzhi Li, Yang Yuan
cs.LGarXiv:1705.09886v22017
Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks
Zhonghui You, Kun Yan, Jinmian Ye +2
cs.CVcs.LGeess.IVarXiv:1909.08174v12019
Zero-shot Image-to-Image Translation
Gaurav Parmar, Krishna Kumar Singh, Richard Zhang +3
cs.CVcs.GRcs.LGarXiv:2302.03027v12023
Closing the Learning-Planning Loop with Predictive State Representations
Byron Boots, Sajid M. Siddiqi, Geoffrey J. Gordon
cs.LGcs.AIarXiv:0912.2385v12009
StereoEngine: Scaling Stereo Bimanual Robot Data without Stereo Cameras
Jason Chen, I-Chun Arthur Liu, Gaurav Sukhatme +1
cs.ROcs.CVcs.LGarXiv:2610.12734v12026
Deep Learning and Machine Vision for Food Processing: A Survey
Lili Zhu, Petros Spachos, Erica Pensini +1
cs.CVcs.LGarXiv:2103.16106v12021
Diff Mining: Logit Differences Reveal Finetuning Objectives
Greg Kocher, Robert West, Clément Dumas +1
cs.LGcs.AIcs.CLarXiv:2608.26462v12026
Snorkel: Rapid Training Data Creation with Weak Supervision
Alexander Ratner, Stephen H. Bach, Henry Ehrenberg +3
cs.LGstat.MLarXiv:1711.10160v12017
Editing Models with Task Arithmetic
Gabriel Ilharco, Marco Tulio Ribeiro, Mitchell Wortsman +4
cs.LGcs.CLcs.CVarXiv:2212.04089v32022
Hardware-Aware Features for CUTLASS Kernel Selection
Shriram Chandran, Dominic Rinderer, Yakup Budanaz +3
cs.LGcs.PFarXiv:2609.35587v12026
Model-based Pricing for Machine Learning in a Data Marketplace
Lingjiao Chen, Paraschos Koutris, Arun Kumar
cs.DBcs.GTcs.LGarXiv:1805.11450v12018
Whom to Query for What: Adaptive Group Elicitation via Multi-Turn LLM Interactions
Ruomeng Ding, Tianwei Gao, Thomas P. Zollo +3
cs.LGcs.AIcs.CLarXiv:2602.14279v22026
Neural SDE: Stabilizing Neural ODE Networks with Stochastic Noise
Xuanqing Liu, Tesi Xiao, Si Si +3
cs.LGcs.AIcs.CVarXiv:1906.02355v12019
Just Pick a Sign: Optimizing Deep Multitask Models with Gradient Sign Dropout
Zhao Chen, Jiquan Ngiam, Yanping Huang +4
cs.LGcs.CVarXiv:2010.06808v12020
Cognitive Science in the era of Artificial Intelligence: A roadmap for reverse-engineering the infant language-learner
Emmanuel Dupoux
cs.CLcs.AIcs.LGarXiv:1607.08723v42016
Machine Learning for Integrating Data in Biology and Medicine: Principles, Practice, and Opportunities
Marinka Zitnik, Francis Nguyen, Bo Wang +3
q-bio.QMcs.CEcs.LGarXiv:1807.00123v22018
Parameterized Knowledge Transfer for Personalized Federated Learning
Jie Zhang, Song Guo, Xiaosong Ma +3
cs.LGcs.DCarXiv:2111.02862v12021
A deep active learning system for species identification and counting in camera trap images
Mohammad Sadegh Norouzzadeh, Dan Morris, Sara Beery +3
cs.LGcs.CVeess.IVarXiv:1910.09716v12019
Sinkformers: Transformers with Doubly Stochastic Attention
Michael E. Sander, Pierre Ablin, Mathieu Blondel +1
cs.LGstat.MLarXiv:2110.11773v22021
LPCNet: Improving Neural Speech Synthesis Through Linear Prediction
Jean-Marc Valin, Jan Skoglund
eess.AScs.LGcs.SDarXiv:1810.11846v22018
Increasing the Action Gap: New Operators for Reinforcement Learning
Marc G. Bellemare, Georg Ostrovski, Arthur Guez +2
cs.AIcs.LGarXiv:1512.04860v12015
pixelSplat: 3D Gaussian Splats from Image Pairs for Scalable Generalizable 3D Reconstruction
David Charatan, Sizhe Li, Andrea Tagliasacchi +1
cs.CVcs.LGarXiv:2312.12337v42023
Towards the Limit of Network Quantization
Yoojin Choi, Mostafa El-Khamy, Jungwon Lee
cs.CVcs.LGcs.NEarXiv:1612.01543v22016
Piecewise Linear Equivariant Maps for Compact Groups
Valeriano Aiello
math.RTcs.LGarXiv:2608.21645v12026
Spatio-temporal graph neural networks for multi-site PV power forecasting
Jelena Simeunović, Baptiste Schubnel, Pierre-Jean Alet +1
cs.LGeess.SParXiv:2107.13875v22021
A Long Short-Term Memory for AI Applications in Spike-based Neuromorphic Hardware
Philipp Plank, Arjun Rao, Andreas Wild +1
cs.NEcs.ETcs.LGarXiv:2107.03992v22021
BiERU: Bidirectional Emotional Recurrent Unit for Conversational Sentiment Analysis
Wei Li, Wei Shao, Shaoxiong Ji +1
cs.CLcs.LGarXiv:2006.00492v32020
DeMixPert: Decomposed Response Modeling with Gaussian Mixtures for OOD Single-Cell Perturbation Prediction
Jiawen Liu, Xuechenxiao Cao, Yutong Li +5
cs.LGcs.AIarXiv:2608.23114v12026
Neuro-Memory Fuzzy Inference System for Mimicking Human-like Car Following Behavior
Nazmul Haque, Md Asif Raihan. Md. Hadiuzzaman
cs.LGcs.AIarXiv:2610.11252v12026
Informative Label Missingness in Multiclass Classification Information Geometry and Excess Risk
Fariborz Setoudehtazang, Geoffrey J. McLachlan
stat.MLcs.LGarXiv:2608.30561v12026
Beyond Skip Connections: Top-Down Modulation for Object Detection
Abhinav Shrivastava, Rahul Sukthankar, Jitendra Malik +1
cs.CVcs.LGarXiv:1612.06851v22016
Efficient Online Reinforcement Learning with Offline Data
Philip J. Ball, Laura Smith, Ilya Kostrikov +1
cs.LGcs.AIarXiv:2302.02948v42023
Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D Generation
Haochen Wang, Xiaodan Du, Jiahao Li +2
cs.CVcs.LGarXiv:2212.00774v12022
Cormorant: Covariant Molecular Neural Networks
Brandon Anderson, Truong-Son Hy, Risi Kondor
physics.comp-phcs.LGstat.MLarXiv:1906.04015v32019
Hack-Verifiable Environments: Towards Evaluating Reward Hacking at Scale
Amit Roth, Ankur Samanta, Matan Halevy +2
cs.LGcs.AIarXiv:2605.20744v12026
Pixie: A System for Recommending 3+ Billion Items to 200+ Million Users in Real-Time
Chantat Eksombatchai, Pranav Jindal, Jerry Zitao Liu +5
cs.IRcs.LGcs.PFarXiv:1711.07601v12017
DataComp-VLM: Improved Open Datasets for Vision-Language Models
Matteo Farina, Vishaal Udandarao, Thao Nguyen +33
cs.CVcs.CLcs.LGarXiv:2606.28551v32026
Deep Learning for Brain Age Estimation: A Systematic Review
M. Tanveer, M. A. Ganaie, Iman Beheshti +7
eess.IVcs.AIcs.CVarXiv:2212.03868v12022
A Survey on Oversmoothing in Graph Neural Networks
T. Konstantin Rusch, Michael M. Bronstein, Siddhartha Mishra
cs.LGarXiv:2303.10993v12023
A Lyapunov-based Approach to Safe Reinforcement Learning
Yinlam Chow, Ofir Nachum, Edgar Duenez-Guzman +1
cs.LGcs.AIstat.MLarXiv:1805.07708v12018
PLATO: Policy Learning using Adaptive Trajectory Optimization
Gregory Kahn, Tianhao Zhang, Sergey Levine +1
cs.LGarXiv:1603.00622v42016
Asymptotic Equivalence of Bayes Cross Validation and Widely Applicable Information Criterion in Singular Learning Theory
Sumio Watanabe
cs.LGarXiv:1004.2316v22010
Analysis of Respiratory Sinus Arrhythmia with Neural Networks
Julian Szymanski, Patryk Orkisz, Higinio Mora
cs.LGcs.AIarXiv:2609.05698v12026
NeoTriFuse: Reliability-Aware Multimodal Fusion under Missingness Heterogeneity for Neonatal Mortality Risk Prediction
Jiyuan Tian, Qincheng Shen, Ye Lin +2
cs.LGarXiv:2608.26436v12026
Breaking the Capability Ceiling of LLM Post-Training by Reintroducing Markov States
Yurun Yuan, Tengyang Xie
cs.LGcs.AIcs.CLarXiv:2603.19987v12026
Recurrent Pixel Embedding for Instance Grouping
Shu Kong, Charless Fowlkes
cs.CVcs.LGcs.MMarXiv:1712.08273v12017
AttnLRP: Attention-Aware Layer-Wise Relevance Propagation for Transformers
Reduan Achtibat, Sayed Mohammad Vakilzadeh Hatefi, Maximilian Dreyer +4
cs.CLcs.AIcs.CVarXiv:2402.05602v22024
Steer2Adapt: Dynamically Composing Steering Vectors Elicits Efficient Adaptation of LLMs
Pengrui Han, Xueqiang Xu, Keyang Xuan +12
cs.AIcs.CLcs.LGarXiv:2602.07276v12026
Surprises in High-Dimensional Ridgeless Least Squares Interpolation
Trevor Hastie, Andrea Montanari, Saharon Rosset +1
math.STcs.LGstat.MLarXiv:1903.08560v52019
Off-Policy Actor-Critic
Thomas Degris, Martha White, Richard S. Sutton
cs.LGarXiv:1205.4839v52012
Quantizing deep convolutional networks for efficient inference: A whitepaper
Raghuraman Krishnamoorthi
cs.LGcs.CVstat.MLarXiv:1806.08342v12018
Comprehensive Verilog Design Problems: A Next-Generation Benchmark Dataset for Evaluating Large Language Models and Agents on RTL Design and Verification
Nathaniel Pinckney, Chenhui Deng, Chia-Tung Ho +5
cs.LGcs.ARarXiv:2506.14074v12025

Machine Learning

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

Fine-Tuning Language Models from Human Preferences

Convergence Analysis of Two-layer Neural Networks with ReLU Activation

Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks

Zero-shot Image-to-Image Translation

Closing the Learning-Planning Loop with Predictive State Representations

StereoEngine: Scaling Stereo Bimanual Robot Data without Stereo Cameras

Deep Learning and Machine Vision for Food Processing: A Survey

Diff Mining: Logit Differences Reveal Finetuning Objectives

Snorkel: Rapid Training Data Creation with Weak Supervision

Editing Models with Task Arithmetic

Hardware-Aware Features for CUTLASS Kernel Selection

Model-based Pricing for Machine Learning in a Data Marketplace

Whom to Query for What: Adaptive Group Elicitation via Multi-Turn LLM Interactions

Neural SDE: Stabilizing Neural ODE Networks with Stochastic Noise

Just Pick a Sign: Optimizing Deep Multitask Models with Gradient Sign Dropout

Cognitive Science in the era of Artificial Intelligence: A roadmap for reverse-engineering the infant language-learner

Machine Learning for Integrating Data in Biology and Medicine: Principles, Practice, and Opportunities

Parameterized Knowledge Transfer for Personalized Federated Learning

A deep active learning system for species identification and counting in camera trap images

Sinkformers: Transformers with Doubly Stochastic Attention

LPCNet: Improving Neural Speech Synthesis Through Linear Prediction

Increasing the Action Gap: New Operators for Reinforcement Learning

pixelSplat: 3D Gaussian Splats from Image Pairs for Scalable Generalizable 3D Reconstruction

Towards the Limit of Network Quantization

Piecewise Linear Equivariant Maps for Compact Groups

Spatio-temporal graph neural networks for multi-site PV power forecasting

A Long Short-Term Memory for AI Applications in Spike-based Neuromorphic Hardware

BiERU: Bidirectional Emotional Recurrent Unit for Conversational Sentiment Analysis

DeMixPert: Decomposed Response Modeling with Gaussian Mixtures for OOD Single-Cell Perturbation Prediction

Neuro-Memory Fuzzy Inference System for Mimicking Human-like Car Following Behavior

Informative Label Missingness in Multiclass Classification Information Geometry and Excess Risk

Beyond Skip Connections: Top-Down Modulation for Object Detection

Efficient Online Reinforcement Learning with Offline Data

Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D Generation

Cormorant: Covariant Molecular Neural Networks

Hack-Verifiable Environments: Towards Evaluating Reward Hacking at Scale

Pixie: A System for Recommending 3+ Billion Items to 200+ Million Users in Real-Time

DataComp-VLM: Improved Open Datasets for Vision-Language Models

Deep Learning for Brain Age Estimation: A Systematic Review

A Survey on Oversmoothing in Graph Neural Networks

A Lyapunov-based Approach to Safe Reinforcement Learning

PLATO: Policy Learning using Adaptive Trajectory Optimization

Asymptotic Equivalence of Bayes Cross Validation and Widely Applicable Information Criterion in Singular Learning Theory

Analysis of Respiratory Sinus Arrhythmia with Neural Networks

NeoTriFuse: Reliability-Aware Multimodal Fusion under Missingness Heterogeneity for Neonatal Mortality Risk Prediction

Breaking the Capability Ceiling of LLM Post-Training by Reintroducing Markov States

Recurrent Pixel Embedding for Instance Grouping

AttnLRP: Attention-Aware Layer-Wise Relevance Propagation for Transformers

Steer2Adapt: Dynamically Composing Steering Vectors Elicits Efficient Adaptation of LLMs

Surprises in High-Dimensional Ridgeless Least Squares Interpolation

Off-Policy Actor-Critic

Quantizing deep convolutional networks for efficient inference: A whitepaper

Comprehensive Verilog Design Problems: A Next-Generation Benchmark Dataset for Evaluating Large Language Models and Agents on RTL Design and Verification