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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3,421 to 3,480 of 20,193

Retrieval-Augmented Multimodal Language Modeling
Michihiro Yasunaga, Armen Aghajanyan, Weijia Shi +6
cs.CVcs.CLcs.LGarXiv:2211.12561v22022
Proximal Algorithms in Statistics and Machine Learning
Nicholas G. Polson, James G. Scott, Brandon T. Willard
stat.MLcs.LGstat.MEarXiv:1502.03175v32015
Deep belief networks are exact
Gleb Smirnov
cs.AIcs.LGmath.PRarXiv:2609.05572v12026
Adversarial and Clean Data Are Not Twins
Zhitao Gong, Wenlu Wang, Wei-Shinn Ku
cs.LGcs.NEarXiv:1704.04960v12017
Sales Demand Forecast in E-commerce using a Long Short-Term Memory Neural Network Methodology
Kasun Bandara, Peibei Shi, Christoph Bergmeir +3
cs.LGstat.MLarXiv:1901.04028v22019
Large Language Models as Urban Residents: An LLM Agent Framework for Personal Mobility Generation
Jiawei Wang, Renhe Jiang, Chuang Yang +5
cs.AIcs.CLcs.CYarXiv:2402.14744v32024
The Proper Care and Feeding of CAMELS: How Limited Training Data Affects Streamflow Prediction
Martin Gauch, Juliane Mai, Jimmy Lin
cs.LGstat.MLarXiv:1911.07249v32019
When Benchmarks are Targets: Revealing the Sensitivity of Large Language Model Leaderboards
Norah Alzahrani, Hisham Abdullah Alyahya, Yazeed Alnumay +9
cs.CLcs.AIcs.LGarXiv:2402.01781v22024
Red-Teaming for Generative AI: Silver Bullet or Security Theater?
Michael Feffer, Anusha Sinha, Wesley Hanwen Deng +2
cs.CYcs.HCcs.LGarXiv:2401.15897v32024
Continual Learning with Node-Importance based Adaptive Group Sparse Regularization
Sangwon Jung, Hongjoon Ahn, Sungmin Cha +1
cs.LGstat.MLarXiv:2003.13726v42020
CapsuleGAN: Generative Adversarial Capsule Network
Ayush Jaiswal, Wael AbdAlmageed, Yue Wu +1
stat.MLcs.LGarXiv:1802.06167v72018
Real-time Faulted Line Localization and PMU Placement in Power Systems through Convolutional Neural Networks
Wenting Li, Deepjyoti Deka, Michael Chertkov +1
eess.SYcs.LGstat.MLarXiv:1810.05247v22018
Dynamic Pricing with Limited Supply
Moshe Babaioff, Shaddin Dughmi, Robert Kleinberg +1
cs.GTcs.DScs.LGarXiv:1108.4142v32011
Sparse DNNs with Improved Adversarial Robustness
Yiwen Guo, Chao Zhang, Changshui Zhang +1
cs.LGcs.CRcs.CVarXiv:1810.09619v22018
Omni Interaction Agent Technical Report
Orantqing, Shengpeng Ji, Junlong Tong +20
eess.AScs.AIcs.LGarXiv:2609.08977v12026
One-Shot Learning of Manipulation Skills with Online Dynamics Adaptation and Neural Network Priors
Justin Fu, Sergey Levine, Pieter Abbeel
cs.LGcs.ROarXiv:1509.06841v32015
Strategies and Principles of Distributed Machine Learning on Big Data
Eric P. Xing, Qirong Ho, Pengtao Xie +1
stat.MLcs.DCcs.LGarXiv:1512.09295v12015
When and What to Teach: Budget-Aware Online Adaptation for Web Agents
Jianwei Zhang, Sihan Cao, Pengcheng Zheng +7
cs.AIcs.CVcs.LGarXiv:2609.05513v12026
Toward Understanding the Feature Learning Process of Self-supervised Contrastive Learning
Zixin Wen, Yuanzhi Li
cs.LGcs.CVstat.MLarXiv:2105.15134v32021
Word2Vec applied to Recommendation: Hyperparameters Matter
Hugo Caselles-Dupré, Florian Lesaint, Jimena Royo-Letelier
cs.IRcs.CLcs.LGarXiv:1804.04212v32018
On Robustness of Neural Ordinary Differential Equations
Hanshu Yan, Jiawei Du, Vincent Y. F. Tan +1
cs.LGstat.MLarXiv:1910.05513v42019
Fighting Offensive Language on Social Media with Unsupervised Text Style Transfer
Cicero Nogueira dos Santos, Igor Melnyk, Inkit Padhi
cs.CLcs.LGarXiv:1805.07685v12018
FedAT: A High-Performance and Communication-Efficient Federated Learning System with Asynchronous Tiers
Zheng Chai, Yujing Chen, Ali Anwar +3
cs.DCcs.LGcs.NIarXiv:2010.05958v22020
Probabilistic Recursive Reasoning for Multi-Agent Reinforcement Learning
Ying Wen, Yaodong Yang, Rui Luo +2
cs.LGcs.AIstat.MLarXiv:1901.09207v22019
Parallel Predictive Entropy Search for Batch Global Optimization of Expensive Objective Functions
Amar Shah, Zoubin Ghahramani
cs.LGstat.MLarXiv:1511.07130v12015
Lorentz Group Equivariant Neural Network for Particle Physics
Alexander Bogatskiy, Brandon Anderson, Jan T. Offermann +3
hep-phcs.LGhep-exarXiv:2006.04780v12020
ARC-Bench: Closed-Loop Replanning Masks Broken Action Ranking in Frozen JEPA World Models
Zhengshu Zhang, Zhiyuan Li
cs.AIcs.LGcs.ROarXiv:2609.05461v12026
GEP-PG: Decoupling Exploration and Exploitation in Deep Reinforcement Learning Algorithms
Cédric Colas, Olivier Sigaud, Pierre-Yves Oudeyer
cs.LGarXiv:1802.05054v52018
RecoGym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising
David Rohde, Stephen Bonner, Travis Dunlop +2
cs.IRcs.LGarXiv:1808.00720v22018
Learning From Noisy Singly-labeled Data
Ashish Khetan, Zachary C. Lipton, Anima Anandkumar
cs.LGarXiv:1712.04577v22017
Generalization Error Bounds of Gradient Descent for Learning Over-parameterized Deep ReLU Networks
Yuan Cao, Quanquan Gu
cs.LGmath.OCstat.MLarXiv:1902.01384v42019
Self-supervised Feature Learning for 3D Medical Images by Playing a Rubik's Cube
Xinrui Zhuang, Yuexiang Li, Yifan Hu +3
cs.CVcs.LGeess.IVarXiv:1910.02241v12019
Neural Architecture Transfer
Zhichao Lu, Gautam Sreekumar, Erik Goodman +3
cs.CVcs.LGcs.NEarXiv:2005.05859v22020
Woulda, Coulda, Shoulda: Counterfactually-Guided Policy Search
Lars Buesing, Theophane Weber, Yori Zwols +4
cs.LGstat.MLarXiv:1811.06272v12018
Reason Through the Latent! Making Latent Visual Reasoning Necessary
Suhyeong Park, Junha Jung, Jaewoo Kang
cs.AIcs.CLcs.CVarXiv:2609.06746v12026
Eliciting Weak-to-Strong Generalization with On-Policy Reverse Distillation
Youngrok Park, Sangmin Bae, Hojung Jung +6
cs.LGcs.CLarXiv:2609.08798v12026
One Loss for All: Deep Hashing with a Single Cosine Similarity based Learning Objective
Jiun Tian Hoe, Kam Woh Ng, Tianyu Zhang +3
cs.CVcs.LGarXiv:2109.14449v12021
Deep Signature Transforms
Patric Bonnier, Patrick Kidger, Imanol Perez Arribas +2
cs.LGstat.MLarXiv:1905.08494v22019
Navigation with Large Language Models: Semantic Guesswork as a Heuristic for Planning
Dhruv Shah, Michael Equi, Blazej Osinski +3
cs.ROcs.AIcs.CLarXiv:2310.10103v12023
Damage-Aware Bandit Pruning for Vision and Language Transformers
Salem Ameen, Sunil Vadera
cs.AIcs.LGarXiv:2609.05448v12026
A geometric alternative to Nesterov's accelerated gradient descent
Sébastien Bubeck, Yin Tat Lee, Mohit Singh
math.OCcs.DScs.LGarXiv:1506.08187v12015
Boosting Adversarial Training with Hypersphere Embedding
Tianyu Pang, Xiao Yang, Yinpeng Dong +3
cs.LGcs.CRcs.CVarXiv:2002.08619v32020
General-purpose Tagging of Freesound Audio with AudioSet Labels: Task Description, Dataset, and Baseline
Eduardo Fonseca, Manoj Plakal, Frederic Font +4
cs.SDcs.LGeess.ASarXiv:1807.09902v32018
Minimizing Energy Consumption Leads to the Emergence of Gaits in Legged Robots
Zipeng Fu, Ashish Kumar, Jitendra Malik +1
cs.ROcs.AIcs.CVarXiv:2111.01674v12021
A Topology Layer for Machine Learning
Rickard Brüel-Gabrielsson, Bradley J. Nelson, Anjan Dwaraknath +3
cs.LGmath.ATstat.MLarXiv:1905.12200v22019
Sampling-based sublinear low-rank matrix arithmetic framework for dequantizing quantum machine learning
Nai-Hui Chia, András Gilyén, Tongyang Li +3
cs.DScs.LGquant-pharXiv:1910.06151v42019
Deep Metric Learning for Practical Person Re-Identification
Dong Yi, Zhen Lei, Stan Z. Li
cs.CVcs.LGcs.NEarXiv:1407.4979v12014
High-dimensional Asymptotics of Feature Learning: How One Gradient Step Improves the Representation
Jimmy Ba, Murat A. Erdogdu, Taiji Suzuki +3
stat.MLcs.LGmath.STarXiv:2205.01445v12022
Generalized Shape Metrics on Neural Representations
Alex H. Williams, Erin Kunz, Simon Kornblith +1
stat.MLcs.LGarXiv:2110.14739v22021
Steering Geometry: Validating Human Value Geometry in LLM Steering Space
Mohammad Mahdi Abootorabi, Armin Saghafian, Ali Bazshoushtari +5
cs.CLcs.AIcs.LGarXiv:2609.06289v12026
CLIP-Dissect: Automatic Description of Neuron Representations in Deep Vision Networks
Tuomas Oikarinen, Tsui-Wei Weng
cs.CVcs.AIcs.LGarXiv:2204.10965v52022
Multi-Agent Adversarial Inverse Reinforcement Learning
Lantao Yu, Jiaming Song, Stefano Ermon
cs.LGstat.MLarXiv:1907.13220v12019
CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving
Kaican Li, Kai Chen, Haoyu Wang +10
cs.CVcs.LGcs.ROarXiv:2203.07724v32022
Cryptanalytic Extraction of Neural Network Models
Nicholas Carlini, Matthew Jagielski, Ilya Mironov
cs.LGcs.CRarXiv:2003.04884v22020
SIRNN: A Math Library for Secure RNN Inference
Deevashwer Rathee, Mayank Rathee, Rahul Kranti Kiran Goli +4
cs.CRcs.LGcs.MSarXiv:2105.04236v12021
DistGNN: Scalable Distributed Training for Large-Scale Graph Neural Networks
Vasimuddin Md, Sanchit Misra, Guixiang Ma +6
cs.LGcs.DCarXiv:2104.06700v32021
Miles v0.1: Production-Level Post-Training
RadixArk, :, Tom Chen +11
cs.LGcs.CLarXiv:2609.08368v12026
Interpretation and Generalization of Score Matching
Siwei Lyu
cs.LGstat.MLarXiv:1205.2629v12012
TimeSHAP: Explaining Recurrent Models through Sequence Perturbations
João Bento, Pedro Saleiro, André F. Cruz +2
cs.LGcs.AIarXiv:2012.00073v22020
Distributionally Robust Federated Averaging
Yuyang Deng, Mohammad Mahdi Kamani, Mehrdad Mahdavi
cs.LGcs.DCstat.MLarXiv:2102.12660v12021

Machine Learning

Retrieval-Augmented Multimodal Language Modeling

Proximal Algorithms in Statistics and Machine Learning

Deep belief networks are exact

Adversarial and Clean Data Are Not Twins

Sales Demand Forecast in E-commerce using a Long Short-Term Memory Neural Network Methodology

Large Language Models as Urban Residents: An LLM Agent Framework for Personal Mobility Generation

The Proper Care and Feeding of CAMELS: How Limited Training Data Affects Streamflow Prediction

When Benchmarks are Targets: Revealing the Sensitivity of Large Language Model Leaderboards

Red-Teaming for Generative AI: Silver Bullet or Security Theater?

Continual Learning with Node-Importance based Adaptive Group Sparse Regularization

CapsuleGAN: Generative Adversarial Capsule Network

Real-time Faulted Line Localization and PMU Placement in Power Systems through Convolutional Neural Networks

Dynamic Pricing with Limited Supply

Sparse DNNs with Improved Adversarial Robustness

Omni Interaction Agent Technical Report

One-Shot Learning of Manipulation Skills with Online Dynamics Adaptation and Neural Network Priors

Strategies and Principles of Distributed Machine Learning on Big Data

When and What to Teach: Budget-Aware Online Adaptation for Web Agents

Toward Understanding the Feature Learning Process of Self-supervised Contrastive Learning

Word2Vec applied to Recommendation: Hyperparameters Matter

On Robustness of Neural Ordinary Differential Equations

Fighting Offensive Language on Social Media with Unsupervised Text Style Transfer

FedAT: A High-Performance and Communication-Efficient Federated Learning System with Asynchronous Tiers

Probabilistic Recursive Reasoning for Multi-Agent Reinforcement Learning

Parallel Predictive Entropy Search for Batch Global Optimization of Expensive Objective Functions

Lorentz Group Equivariant Neural Network for Particle Physics

ARC-Bench: Closed-Loop Replanning Masks Broken Action Ranking in Frozen JEPA World Models

GEP-PG: Decoupling Exploration and Exploitation in Deep Reinforcement Learning Algorithms

RecoGym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising

Learning From Noisy Singly-labeled Data

Generalization Error Bounds of Gradient Descent for Learning Over-parameterized Deep ReLU Networks

Self-supervised Feature Learning for 3D Medical Images by Playing a Rubik's Cube

Neural Architecture Transfer

Woulda, Coulda, Shoulda: Counterfactually-Guided Policy Search

Reason Through the Latent! Making Latent Visual Reasoning Necessary

Eliciting Weak-to-Strong Generalization with On-Policy Reverse Distillation

One Loss for All: Deep Hashing with a Single Cosine Similarity based Learning Objective

Deep Signature Transforms

Navigation with Large Language Models: Semantic Guesswork as a Heuristic for Planning

Damage-Aware Bandit Pruning for Vision and Language Transformers

A geometric alternative to Nesterov's accelerated gradient descent

Boosting Adversarial Training with Hypersphere Embedding

General-purpose Tagging of Freesound Audio with AudioSet Labels: Task Description, Dataset, and Baseline

Minimizing Energy Consumption Leads to the Emergence of Gaits in Legged Robots

A Topology Layer for Machine Learning

Sampling-based sublinear low-rank matrix arithmetic framework for dequantizing quantum machine learning

Deep Metric Learning for Practical Person Re-Identification

High-dimensional Asymptotics of Feature Learning: How One Gradient Step Improves the Representation

Generalized Shape Metrics on Neural Representations

Steering Geometry: Validating Human Value Geometry in LLM Steering Space

CLIP-Dissect: Automatic Description of Neuron Representations in Deep Vision Networks

Multi-Agent Adversarial Inverse Reinforcement Learning

CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving

Cryptanalytic Extraction of Neural Network Models

SIRNN: A Math Library for Secure RNN Inference

DistGNN: Scalable Distributed Training for Large-Scale Graph Neural Networks

Miles v0.1: Production-Level Post-Training

Interpretation and Generalization of Score Matching

TimeSHAP: Explaining Recurrent Models through Sequence Perturbations

Distributionally Robust Federated Averaging