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.

Search paper metadata (including unsummarized papers)

3,721 to 3,780 of 20,454

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
Black-box Explanation of Object Detectors via Saliency Maps
Vitali Petsiuk, Rajiv Jain, Varun Manjunatha +4
cs.CVcs.AIcs.LGarXiv:2006.03204v22020
Robust Regression via Hard Thresholding
Kush Bhatia, Prateek Jain, Purushottam Kar
cs.LGstat.MLarXiv:1506.02428v12015
TREC CAsT 2019: The Conversational Assistance Track Overview
Jeffrey Dalton, Chenyan Xiong, Jamie Callan
cs.IRcs.CLcs.LGarXiv:2003.13624v12020
Learning and Evaluating Graph Neural Network Explanations based on Counterfactual and Factual Reasoning
Juntao Tan, Shijie Geng, Zuohui Fu +4
cs.IRcs.LGarXiv:2202.08816v32022
Online Draft Co-Training for Speculative Decoding in Large-Scale, Long-Context RL Post-Training
Zili Wang, Zhaopeng Qiu, Yuekai Zhang +2
cs.LGcs.DCarXiv:2609.07108v12026
On the Transfer of Inductive Bias from Simulation to the Real World: a New Disentanglement Dataset
Muhammad Waleed Gondal, Manuel Wüthrich, Đorđe Miladinović +7
stat.MLcs.LGarXiv:1906.03292v32019
Environments as Scaffold: Enriching Feedback to Bootstrap Self-Evolving Agents in Long-Horizon Tasks
Hongbang Yuan, Zhuoran Jin, Yixin Cao
cs.LGcs.AIcs.CLarXiv:2609.08404v12026
How to Exploit Hyperspherical Embeddings for Out-of-Distribution Detection?
Yifei Ming, Yiyou Sun, Ousmane Dia +1
cs.CVcs.LGarXiv:2203.04450v32022
Biomedical Entity Representations with Synonym Marginalization
Mujeen Sung, Hwisang Jeon, Jinhyuk Lee +1
cs.CLcs.LGarXiv:2005.00239v12020
Geometric Understanding of Deep Learning
Na Lei, Zhongxuan Luo, Shing-Tung Yau +1
cs.LGstat.MLarXiv:1805.10451v22018
Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting--Full Version
Razvan-Gabriel Cirstea, Chenjuan Guo, Bin Yang +3
cs.LGarXiv:2204.13767v12022
Anti-DreamBooth: Protecting users from personalized text-to-image synthesis
Thanh Van Le, Hao Phung, Thuan Hoang Nguyen +3
cs.CVcs.CRcs.LGarXiv:2303.15433v22023
Unsupervised Depth Completion from Visual Inertial Odometry
Alex Wong, Xiaohan Fei, Stephanie Tsuei +1
cs.CVcs.AIcs.LGarXiv:1905.08616v42019
Improving Diffusion Inverse Problem Solving with Decoupled Noise Annealing
Bingliang Zhang, Wenda Chu, Julius Berner +3
cs.LGcs.AIcs.CVarXiv:2407.01521v32024
Guaranteed Non-convex Optimization: Submodular Maximization over Continuous Domains
Andrew An Bian, Baharan Mirzasoleiman, Joachim M. Buhmann +1
cs.LGcs.DSarXiv:1606.05615v52016
Low-Power Neuromorphic Hardware for Signal Processing Applications
Bipin Rajendran, Abu Sebastian, Michael Schmuker +2
cs.ETcs.LGcs.NEarXiv:1901.03690v32019
Federated Learning: A Signal Processing Perspective
Tomer Gafni, Nir Shlezinger, Kobi Cohen +2
eess.SPcs.LGarXiv:2103.17150v22021
Trainability of Dissipative Perceptron-Based Quantum Neural Networks
Kunal Sharma, M. Cerezo, Lukasz Cincio +1
quant-phcs.LGarXiv:2005.12458v22020
Learning State Representations for Query Optimization with Deep Reinforcement Learning
Jennifer Ortiz, Magdalena Balazinska, Johannes Gehrke +1
cs.DBcs.AIcs.LGarXiv:1803.08604v12018
SafeDrug: Dual Molecular Graph Encoders for Recommending Effective and Safe Drug Combinations
Chaoqi Yang, Cao Xiao, Fenglong Ma +2
cs.LGarXiv:2105.02711v22021
Retro*: Learning Retrosynthetic Planning with Neural Guided A* Search
Binghong Chen, Chengtao Li, Hanjun Dai +1
cs.LGcs.AIstat.MLarXiv:2006.15820v12020
Kalman Delta Networks: Uncertainty-aware Associative Memory
Ngoc Bui, Tinglin Huang, Rex Ying
cs.LGcs.AIarXiv:2609.07816v12026
MOLE: Detecting Insider Threats in AI Agents
Aashiq Muhamed, Virginia Smith
cs.LGcs.CLcs.CRarXiv:2609.06966v12026

Machine Learning

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

Black-box Explanation of Object Detectors via Saliency Maps

Robust Regression via Hard Thresholding

TREC CAsT 2019: The Conversational Assistance Track Overview

Learning and Evaluating Graph Neural Network Explanations based on Counterfactual and Factual Reasoning

Online Draft Co-Training for Speculative Decoding in Large-Scale, Long-Context RL Post-Training

On the Transfer of Inductive Bias from Simulation to the Real World: a New Disentanglement Dataset

Environments as Scaffold: Enriching Feedback to Bootstrap Self-Evolving Agents in Long-Horizon Tasks

How to Exploit Hyperspherical Embeddings for Out-of-Distribution Detection?

Biomedical Entity Representations with Synonym Marginalization

Geometric Understanding of Deep Learning

Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting--Full Version

Anti-DreamBooth: Protecting users from personalized text-to-image synthesis

Unsupervised Depth Completion from Visual Inertial Odometry

Improving Diffusion Inverse Problem Solving with Decoupled Noise Annealing

Guaranteed Non-convex Optimization: Submodular Maximization over Continuous Domains

Low-Power Neuromorphic Hardware for Signal Processing Applications

Federated Learning: A Signal Processing Perspective

Trainability of Dissipative Perceptron-Based Quantum Neural Networks

Learning State Representations for Query Optimization with Deep Reinforcement Learning

SafeDrug: Dual Molecular Graph Encoders for Recommending Effective and Safe Drug Combinations

Retro*: Learning Retrosynthetic Planning with Neural Guided A* Search

Kalman Delta Networks: Uncertainty-aware Associative Memory

MOLE: Detecting Insider Threats in AI Agents

Retro: Learning Retrosynthetic Planning with Neural Guided A Search