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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11,941 to 12,000 of 20,192

NEAT: Neural Attention Fields for End-to-End Autonomous Driving
Kashyap Chitta, Aditya Prakash, Andreas Geiger
cs.CVcs.AIcs.LGarXiv:2109.04456v12021
The Role of ImageNet Classes in Fréchet Inception Distance
Tuomas Kynkäänniemi, Tero Karras, Miika Aittala +2
cs.CVcs.AIcs.LGarXiv:2203.06026v32022
Mobile Sensor Data Anonymization
Mohammad Malekzadeh, Richard G. Clegg, Andrea Cavallaro +1
cs.LGstat.MLarXiv:1810.11546v32018
An Emphatic Approach to the Problem of Off-policy Temporal-Difference Learning
Richard S. Sutton, A. Rupam Mahmood, Martha White
cs.LGarXiv:1503.04269v22015
Trajectory balance: Improved credit assignment in GFlowNets
Nikolay Malkin, Moksh Jain, Emmanuel Bengio +2
cs.LGstat.MLarXiv:2201.13259v32022
Reinforcement Learning for Robust Parameterized Locomotion Control of Bipedal Robots
Zhongyu Li, Xuxin Cheng, Xue Bin Peng +4
cs.ROcs.AIcs.LGarXiv:2103.14295v12021
ETA Prediction with Graph Neural Networks in Google Maps
Austin Derrow-Pinion, Jennifer She, David Wong +14
cs.LGcs.AIcs.SIarXiv:2108.11482v12021
GANs for Medical Image Synthesis: An Empirical Study
Youssef Skandarani, Pierre-Marc Jodoin, Alain Lalande
eess.IVcs.CVcs.LGarXiv:2105.05318v22021
Parallel Multi-Dimensional LSTM, With Application to Fast Biomedical Volumetric Image Segmentation
Marijn F. Stollenga, Wonmin Byeon, Marcus Liwicki +1
cs.CVcs.LGarXiv:1506.07452v12015
Learning to Fly by Crashing
Dhiraj Gandhi, Lerrel Pinto, Abhinav Gupta
cs.ROcs.CVcs.LGarXiv:1704.05588v22017
Deep Denoising Neural Network Assisted Compressive Channel Estimation for mmWave Intelligent Reflecting Surfaces
Shicong Liu, Zhen Gao, Jun Zhang +2
cs.ITcs.LGeess.SParXiv:2006.02201v22020
Iteratively Pruned Deep Learning Ensembles for COVID-19 Detection in Chest X-rays
Sivaramakrishnan Rajaraman, Jen Siegelman, Philip O. Alderson +3
eess.IVcs.CVcs.LGarXiv:2004.08379v32020
Few-Shot Learning via Learning the Representation, Provably
Simon S. Du, Wei Hu, Sham M. Kakade +2
cs.LGmath.OCstat.MLarXiv:2002.09434v22020
VisionZip: Longer is Better but Not Necessary in Vision Language Models
Senqiao Yang, Yukang Chen, Zhuotao Tian +4
cs.CVcs.AIcs.CLarXiv:2412.04467v22024
From Variational to Deterministic Autoencoders
Partha Ghosh, Mehdi S. M. Sajjadi, Antonio Vergari +2
cs.LGstat.MLarXiv:1903.12436v42019
Small-Object Detection in Remote Sensing Images with End-to-End Edge-Enhanced GAN and Object Detector Network
Jakaria Rabbi, Nilanjan Ray, Matthias Schubert +2
cs.CVcs.LGarXiv:2003.09085v52020
U-NO: U-shaped Neural Operators
Md Ashiqur Rahman, Zachary E. Ross, Kamyar Azizzadenesheli
cs.LGarXiv:2204.11127v32022
Self-Evaluation Guided Beam Search for Reasoning
Yuxi Xie, Kenji Kawaguchi, Yiran Zhao +4
cs.CLcs.AIcs.LGarXiv:2305.00633v32023
On the Practical Computational Power of Finite Precision RNNs for Language Recognition
Gail Weiss, Yoav Goldberg, Eran Yahav
cs.LGcs.CLstat.MLarXiv:1805.04908v12018
Combinatorial Network Optimization with Unknown Variables: Multi-Armed Bandits with Linear Rewards
Yi Gai, Bhaskar Krishnamachari, Rahul Jain
math.OCcs.LGcs.NIarXiv:1011.4748v12010
Muppet: Massive Multi-task Representations with Pre-Finetuning
Armen Aghajanyan, Anchit Gupta, Akshat Shrivastava +3
cs.CLcs.LGarXiv:2101.11038v12021
ROLAND: Graph Learning Framework for Dynamic Graphs
Jiaxuan You, Tianyu Du, Jure Leskovec
cs.LGcs.AIcs.SIarXiv:2208.07239v12022
Zero-Shot Video Question Answering via Frozen Bidirectional Language Models
Antoine Yang, Antoine Miech, Josef Sivic +2
cs.CVcs.CLcs.LGarXiv:2206.08155v22022
Deep Learning of Subsurface Flow via Theory-guided Neural Network
Nanzhe Wang, Dongxiao Zhang, Haibin Chang +1
cs.LGstat.MLarXiv:1911.00103v12019
Physics-informed deep learning for incompressible laminar flows
Chengping Rao, Hao Sun, Yang Liu
physics.flu-dyncs.LGphysics.comp-pharXiv:2002.10558v22020
Federated Learning from Pre-Trained Models: A Contrastive Learning Approach
Yue Tan, Guodong Long, Jie Ma +3
cs.CRcs.AIcs.LGarXiv:2209.10083v12022
Offline-to-Online Reinforcement Learning via Balanced Replay and Pessimistic Q-Ensemble
Seunghyun Lee, Younggyo Seo, Kimin Lee +2
cs.ROcs.LGarXiv:2107.00591v22021
An elementary introduction to information geometry
Frank Nielsen
cs.LGcs.ITstat.MLarXiv:1808.08271v22018
Learning in a Large Function Space: Privacy-Preserving Mechanisms for SVM Learning
Benjamin I. P. Rubinstein, Peter L. Bartlett, Ling Huang +1
cs.LGcs.CRcs.DBarXiv:0911.5708v12009
AI Safety Gridworlds
Jan Leike, Miljan Martic, Victoria Krakovna +5
cs.LGcs.AIarXiv:1711.09883v22017
Conditional Diffusion Probabilistic Model for Speech Enhancement
Yen-Ju Lu, Zhong-Qiu Wang, Shinji Watanabe +3
eess.AScs.LGcs.SDarXiv:2202.05256v12022
Partial success in closing the gap between human and machine vision
Robert Geirhos, Kantharaju Narayanappa, Benjamin Mitzkus +4
cs.CVcs.AIcs.LGarXiv:2106.07411v22021
Non-convex Robust PCA
Praneeth Netrapalli, U N Niranjan, Sujay Sanghavi +2
cs.ITcs.LGstat.MLarXiv:1410.7660v12014
Hierarchical Open-Vocabulary 3D Scene Graphs for Language-Grounded Robot Navigation
Abdelrhman Werby, Chenguang Huang, Martin Büchner +2
cs.ROcs.AIcs.CLarXiv:2403.17846v22024
Compositional Fairness Constraints for Graph Embeddings
Avishek Joey Bose, William L. Hamilton
cs.LGcs.AIstat.MLarXiv:1905.10674v42019
On Mean Absolute Error for Deep Neural Network Based Vector-to-Vector Regression
Jun Qi, Jun Du, Sabato Marco Siniscalchi +2
eess.AScs.LGcs.SDarXiv:2008.07281v12020
ReDMark: Framework for Residual Diffusion Watermarking on Deep Networks
Mahdi Ahmadi, Alireza Norouzi, S. M. Reza Soroushmehr +4
cs.MMcs.CRcs.LGarXiv:1810.07248v32018
Signal Recovery on Graphs: Variation Minimization
Siheng Chen, Aliaksei Sandryhaila, José M. F. Moura +1
cs.SIcs.LGstat.MLarXiv:1411.7414v32014
MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases
Zechun Liu, Changsheng Zhao, Forrest Iandola +9
cs.LGcs.AIcs.CLarXiv:2402.14905v22024
FedProc: Prototypical Contrastive Federated Learning on Non-IID data
Xutong Mu, Yulong Shen, Ke Cheng +4
cs.LGcs.DCarXiv:2109.12273v12021
Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions
Sjoerd van Steenkiste, Michael Chang, Klaus Greff +1
cs.LGcs.AIcs.NEarXiv:1802.10353v12018
Investigating Bi-Level Optimization for Learning and Vision from a Unified Perspective: A Survey and Beyond
Risheng Liu, Jiaxin Gao, Jin Zhang +2
cs.LGcs.CVmath.DSarXiv:2101.11517v32021
Editing Conditional Radiance Fields
Steven Liu, Xiuming Zhang, Zhoutong Zhang +3
cs.CVcs.GRcs.LGarXiv:2105.06466v22021
Lyapunov-based Safe Policy Optimization for Continuous Control
Yinlam Chow, Ofir Nachum, Aleksandra Faust +2
cs.LGcs.AIstat.MLarXiv:1901.10031v22019
SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing
Junyi Ao, Rui Wang, Long Zhou +11
eess.AScs.CLcs.LGarXiv:2110.07205v32021
Learning to Self-Train for Semi-Supervised Few-Shot Classification
Xinzhe Li, Qianru Sun, Yaoyao Liu +4
cs.CVcs.LGstat.MLarXiv:1906.00562v22019
Portuguese Named Entity Recognition using BERT-CRF
Fábio Souza, Rodrigo Nogueira, Roberto Lotufo
cs.CLcs.IRcs.LGarXiv:1909.10649v22019
ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool Embeddings
Shibo Hao, Tianyang Liu, Zhen Wang +1
cs.CLcs.LGarXiv:2305.11554v42023
MVTN: Multi-View Transformation Network for 3D Shape Recognition
Abdullah Hamdi, Silvio Giancola, Bernard Ghanem
cs.CVcs.LGarXiv:2011.13244v32020
Video Object Segmentation with Episodic Graph Memory Networks
Xiankai Lu, Wenguan Wang, Martin Danelljan +3
cs.CVcs.LGarXiv:2007.07020v42020
Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer
Greg Yang, Edward J. Hu, Igor Babuschkin +7
cs.LGcond-mat.dis-nncs.NEarXiv:2203.03466v22022
Distributed Autonomous Online Learning: Regrets and Intrinsic Privacy-Preserving Properties
Feng Yan, Shreyas Sundaram, S. V. N. Vishwanathan +1
cs.LGcs.AIarXiv:1006.4039v32010
Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective
Wuyang Chen, Xinyu Gong, Zhangyang Wang
cs.CVcs.LGarXiv:2102.11535v42021
Delayed Optimizer-State Transport Shapes Short-Horizon Training Decisions
Jinhui Guo
cs.LGphysics.comp-pharXiv:2608.24593v12026
Renormalization Group Flow Matching for Scalable Local Generative Modeling
Kanta Masuki, Yuto Ashida
cs.LGcond-mat.stat-mecharXiv:2608.23696v12026
Probability-Preserving Transformer for the Time-Dependent Schrödinger Equation
Mushtaq Ali, Muzamil Tariq, Niaz Ali Khan
cs.LGmath-phquant-pharXiv:2608.15112v12026
Pairton: Iterative Reconstruction of Short-Lived Particles
Andreas Hermansen, Chris Scheulen, Tobias Golling
hep-phcs.LGhep-exarXiv:2608.14278v12026
Contrastive Learning for Interpretable Anomaly Detection at Collider Experiments
Haoyi Jia, Sagar Addepalli, Julia Gonski
cs.LGhep-exhep-pharXiv:2608.13652v12026
The Geometry of Semantic Space: A Continuous Geometric Framework for the Transformer Architecture
Zhihua Liang
cond-mat.dis-nncs.CLcs.LGarXiv:2607.17146v12026
Challenges and Opportunities in Quantum Machine Learning
M. Cerezo, Guillaume Verdon, Hsin-Yuan Huang +2
quant-phcs.LGstat.MLarXiv:2303.09491v12023

Machine Learning

NEAT: Neural Attention Fields for End-to-End Autonomous Driving

The Role of ImageNet Classes in Fréchet Inception Distance

Mobile Sensor Data Anonymization

An Emphatic Approach to the Problem of Off-policy Temporal-Difference Learning

Trajectory balance: Improved credit assignment in GFlowNets

Reinforcement Learning for Robust Parameterized Locomotion Control of Bipedal Robots

ETA Prediction with Graph Neural Networks in Google Maps

GANs for Medical Image Synthesis: An Empirical Study

Parallel Multi-Dimensional LSTM, With Application to Fast Biomedical Volumetric Image Segmentation

Learning to Fly by Crashing

Deep Denoising Neural Network Assisted Compressive Channel Estimation for mmWave Intelligent Reflecting Surfaces

Iteratively Pruned Deep Learning Ensembles for COVID-19 Detection in Chest X-rays

Few-Shot Learning via Learning the Representation, Provably

VisionZip: Longer is Better but Not Necessary in Vision Language Models

From Variational to Deterministic Autoencoders

Small-Object Detection in Remote Sensing Images with End-to-End Edge-Enhanced GAN and Object Detector Network

U-NO: U-shaped Neural Operators

Self-Evaluation Guided Beam Search for Reasoning

On the Practical Computational Power of Finite Precision RNNs for Language Recognition

Combinatorial Network Optimization with Unknown Variables: Multi-Armed Bandits with Linear Rewards

Muppet: Massive Multi-task Representations with Pre-Finetuning

ROLAND: Graph Learning Framework for Dynamic Graphs

Zero-Shot Video Question Answering via Frozen Bidirectional Language Models

Deep Learning of Subsurface Flow via Theory-guided Neural Network

Physics-informed deep learning for incompressible laminar flows

Federated Learning from Pre-Trained Models: A Contrastive Learning Approach

Offline-to-Online Reinforcement Learning via Balanced Replay and Pessimistic Q-Ensemble

An elementary introduction to information geometry

Learning in a Large Function Space: Privacy-Preserving Mechanisms for SVM Learning

AI Safety Gridworlds

Conditional Diffusion Probabilistic Model for Speech Enhancement

Partial success in closing the gap between human and machine vision

Non-convex Robust PCA

Hierarchical Open-Vocabulary 3D Scene Graphs for Language-Grounded Robot Navigation

Compositional Fairness Constraints for Graph Embeddings

On Mean Absolute Error for Deep Neural Network Based Vector-to-Vector Regression

ReDMark: Framework for Residual Diffusion Watermarking on Deep Networks

Signal Recovery on Graphs: Variation Minimization

MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases

FedProc: Prototypical Contrastive Federated Learning on Non-IID data

Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions

Investigating Bi-Level Optimization for Learning and Vision from a Unified Perspective: A Survey and Beyond

Editing Conditional Radiance Fields

Lyapunov-based Safe Policy Optimization for Continuous Control

SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing

Learning to Self-Train for Semi-Supervised Few-Shot Classification

Portuguese Named Entity Recognition using BERT-CRF

ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool Embeddings

MVTN: Multi-View Transformation Network for 3D Shape Recognition

Video Object Segmentation with Episodic Graph Memory Networks

Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer

Distributed Autonomous Online Learning: Regrets and Intrinsic Privacy-Preserving Properties

Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective

Delayed Optimizer-State Transport Shapes Short-Horizon Training Decisions

Renormalization Group Flow Matching for Scalable Local Generative Modeling

Probability-Preserving Transformer for the Time-Dependent Schrödinger Equation

Pairton: Iterative Reconstruction of Short-Lived Particles

Contrastive Learning for Interpretable Anomaly Detection at Collider Experiments

The Geometry of Semantic Space: A Continuous Geometric Framework for the Transformer Architecture

Challenges and Opportunities in Quantum Machine Learning