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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2,641 to 2,700 of 20,016

Label-driven weakly-supervised learning for multimodal deformable image registration
Yipeng Hu, Marc Modat, Eli Gibson +7
cs.CVcs.LGarXiv:1711.01666v22017
Popularity Prediction on Social Platforms with Coupled Graph Neural Networks
Qi Cao, Huawei Shen, Jinhua Gao +2
cs.SIcs.LGarXiv:1906.09032v22019
Hyperparameter Selection for Offline Reinforcement Learning
Tom Le Paine, Cosmin Paduraru, Andrea Michi +5
cs.LGcs.AIstat.MLarXiv:2007.09055v12020
Can recurrent neural networks warp time?
Corentin Tallec, Yann Ollivier
cs.LGcs.NEstat.MLarXiv:1804.11188v12018
Hadronic Mono-Z Dark Matter Sensitivity with Flow Matching on CMS Open Data
Hitesh Rasineni, Bhavishya Chebrolu
hep-excs.LGhep-pharXiv:2609.02923v12026
Reinforcement Learning of Theorem Proving
Cezary Kaliszyk, Josef Urban, Henryk Michalewski +1
cs.AIcs.LGcs.LOarXiv:1805.07563v12018
Two-stage framework for optic disc localization and glaucoma classification in retinal fundus images using deep learning
Muhammad Naseer Bajwa, Muhammad Imran Malik, Shoaib Ahmed Siddiqui +4
cs.CVcs.LGeess.IVarXiv:2005.14284v12020
Edge Contraction Pooling for Graph Neural Networks
Frederik Diehl
cs.LGstat.MLarXiv:1905.10990v12019
The Visual Insensitivity Gap: Diagnosing When Vision-Language Models Fail to Use Visual Evidence
Genpei Zhang
cs.CVcs.CLcs.LGarXiv:2609.00868v12026
Contextual Dueling Bandits
Miroslav Dudík, Katja Hofmann, Robert E. Schapire +2
cs.LGarXiv:1502.06362v22015
A Benchmark and Comparison of Active Learning for Logistic Regression
Yazhou Yang, Marco Loog
stat.MLcs.LGarXiv:1611.08618v22016
Spruce: Scalable Private Outsourced Retrieval Using Compact Embeddings
Peichun Hua, Yunming Xiao
cs.CRcs.IRcs.LGarXiv:2609.03376v12026
SynthRCT: Scalable Conditional Deformation Synthesis for Synthetic Repeat CT Generation
Tomas Guija-Valiente, Blanca Rodriguez-Gonzalez, Norberto Malpica
cs.CVcs.AIcs.LGarXiv:2609.08627v12026
Leveraging contextual events on structure-aware next activity prediction
Alessandro Mele, Claudia Diamantini, Domenico Potena
cs.LGcs.AIarXiv:2609.08622v12026
Dirty Road Can Attack: Security of Deep Learning based Automated Lane Centering under Physical-World Attack
Takami Sato, Junjie Shen, Ningfei Wang +3
cs.CRcs.CVcs.LGarXiv:2009.06701v22020
Mucko: Multi-Layer Cross-Modal Knowledge Reasoning for Fact-based Visual Question Answering
Zihao Zhu, Jing Yu, Yujing Wang +3
cs.CVcs.AIcs.CLarXiv:2006.09073v32020
LSTM-TrajGAN: A Deep Learning Approach to Trajectory Privacy Protection
Jinmeng Rao, Song Gao, Yuhao Kang +1
cs.LGcs.AIcs.CRarXiv:2006.10521v12020
Interpretable Deep Learning for Automatic Diagnosis of 12-lead Electrocardiogram
Dongdong Zhang, Xiaohui Yuan, Ping Zhang
cs.LGeess.SParXiv:2010.10328v12020
Adversarial Deep Ensemble: Evasion Attacks and Defenses for Malware Detection
Deqiang Li, Qianmu Li
cs.CRcs.LGstat.MLarXiv:2006.16545v12020
An optimal control perspective on diffusion-based generative modeling
Julius Berner, Lorenz Richter, Karen Ullrich
cs.LGmath.OCstat.MLarXiv:2211.01364v32022
Intrinsic Certified Robustness of Bagging against Data Poisoning Attacks
Jinyuan Jia, Xiaoyu Cao, Neil Zhenqiang Gong
cs.CRcs.LGarXiv:2008.04495v72020
Distributed Hierarchical GPU Parameter Server for Massive Scale Deep Learning Ads Systems
Weijie Zhao, Deping Xie, Ronglai Jia +4
cs.DCcs.LGstat.MLarXiv:2003.05622v12020
Leveraging Cardiac Imaging to Improve ECG-Based Detection of Chagas Disease in Resource-Constrained Settings
Laura Alvarez-Florez, Daniel Uyterlinde, Samuel Ruipérez-Campillo +3
cs.LGcs.AIeess.IVarXiv:2609.08582v12026
XAI for Transformers: Better Explanations through Conservative Propagation
Ameen Ali, Thomas Schnake, Oliver Eberle +3
cs.LGarXiv:2202.07304v22022
Diffusion-based Molecule Generation with Informative Prior Bridges
Lemeng Wu, Chengyue Gong, Xingchao Liu +2
cs.LGarXiv:2209.00865v12022
Generative Spoken Dialogue Language Modeling
Tu Anh Nguyen, Eugene Kharitonov, Jade Copet +8
cs.CLcs.LGcs.SDarXiv:2203.16502v22022
How Powerful are Performance Predictors in Neural Architecture Search?
Colin White, Arber Zela, Binxin Ru +2
cs.LGcs.NEstat.MLarXiv:2104.01177v22021
Retinal Vessel Segmentation in Fundoscopic Images with Generative Adversarial Networks
Jaemin Son, Sang Jun Park, Kyu-Hwan Jung
cs.CVcs.LGarXiv:1706.09318v12017
Invariant Causal Prediction for Block MDPs
Amy Zhang, Clare Lyle, Shagun Sodhani +5
cs.LGcs.AIstat.MLarXiv:2003.06016v22020
Document Understanding Dataset and Evaluation (DUDE)
Jordy Van Landeghem, Rubén Tito, Łukasz Borchmann +10
cs.CVcs.CLcs.LGarXiv:2305.08455v32023
NAOMI: Non-Autoregressive Multiresolution Sequence Imputation
Yukai Liu, Rose Yu, Stephan Zheng +2
cs.LGstat.MLarXiv:1901.10946v32019
Equivariance Breaks the Learning Rate
Andrei Manolache, Mathias Niepert
cs.LGcs.AIarXiv:2609.08381v12026
Differentiable Particle Filters: End-to-End Learning with Algorithmic Priors
Rico Jonschkowski, Divyam Rastogi, Oliver Brock
cs.LGcs.AIcs.ROarXiv:1805.11122v22018
ASTRA-sim2.0: Modeling Hierarchical Networks and Disaggregated Systems for Large-model Training at Scale
William Won, Taekyung Heo, Saeed Rashidi +3
cs.DCcs.LGarXiv:2303.14006v12023
Bootstrapping Semantic Segmentation with Regional Contrast
Shikun Liu, Shuaifeng Zhi, Edward Johns +1
cs.CVcs.LGarXiv:2104.04465v42021
Supervised Pretraining Can Learn In-Context Reinforcement Learning
Jonathan N. Lee, Annie Xie, Aldo Pacchiano +4
cs.LGcs.AIarXiv:2306.14892v12023
Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language Models
Yongshuo Zong, Ondrej Bohdal, Tingyang Yu +2
cs.LGarXiv:2402.02207v22024
A Measurement Study of LLM Inference Trade-offs Across Edge Continuum Hardware
Maysam Khatib, Moysis Symeonides, Demetris Trihinas +2
cs.DCcs.AIcs.LGarXiv:2609.08307v12026
Simplifying Hamiltonian and Lagrangian Neural Networks via Explicit Constraints
Marc Finzi, Ke Alexander Wang, Andrew Gordon Wilson
cs.LGmath.DSphysics.comp-pharXiv:2010.13581v12020
Architectural Complexity Measures of Recurrent Neural Networks
Saizheng Zhang, Yuhuai Wu, Tong Che +4
cs.LGcs.NEarXiv:1602.08210v32016
FedCM: Federated Learning with Client-level Momentum
Jing Xu, Sen Wang, Liwei Wang +1
cs.LGarXiv:2106.10874v12021
Solving high-dimensional Hamilton-Jacobi-Bellman PDEs using neural networks: perspectives from the theory of controlled diffusions and measures on path space
Nikolas Nüsken, Lorenz Richter
math.OCcs.LGmath.NAarXiv:2005.05409v22020
IPM-FM: A Foundation Model with Consensus Feature Selection for Industrial Process Monitoring
Liang Cao, Weide Liu, Yan Qin +3
cs.LGcs.AIarXiv:2609.08375v12026
Condensing Graphs via One-Step Gradient Matching
Wei Jin, Xianfeng Tang, Haoming Jiang +4
cs.LGcs.AIarXiv:2206.07746v32022
Learning Hidden Unit Contributions for Unsupervised Acoustic Model Adaptation
Pawel Swietojanski, Jinyu Li, Steve Renals
cs.CLcs.LGcs.SDarXiv:1601.02828v22016
Tarsier: Recipes for Training and Evaluating Large Video Description Models
Jiawei Wang, Liping Yuan, Yuchen Zhang +1
cs.CVcs.LGarXiv:2407.00634v22024
BOME! Bilevel Optimization Made Easy: A Simple First-Order Approach
Mao Ye, Bo Liu, Stephen Wright +2
cs.LGcs.AImath.OCarXiv:2209.08709v12022
Audio Super Resolution using Neural Networks
Volodymyr Kuleshov, S. Zayd Enam, Stefano Ermon
cs.SDcs.LGarXiv:1708.00853v12017
Neural Thompson Sampling
Weitong Zhang, Dongruo Zhou, Lihong Li +1
cs.LGstat.MLarXiv:2010.00827v22020
Semantic Human Matting
Quan Chen, Tiezheng Ge, Yanyu Xu +3
cs.CVcs.GRcs.LGarXiv:1809.01354v22018
Synergistic Fusion of Topological Structure and Temporal Semantics of Mobility for Urban Region Embedding
Namwoo Kim, Jeeyun Chang, Kanghoon Lee +1
cs.LGcs.AIarXiv:2609.08268v12026
On the Possibilities of AI-Generated Text Detection
Souradip Chakraborty, Amrit Singh Bedi, Sicheng Zhu +3
cs.CLcs.AIcs.LGarXiv:2304.04736v32023
Visual Imitation Made Easy
Sarah Young, Dhiraj Gandhi, Shubham Tulsiani +3
cs.ROcs.CVcs.LGarXiv:2008.04899v12020
Vision-based Navigation with Language-based Assistance via Imitation Learning with Indirect Intervention
Khanh Nguyen, Debadeepta Dey, Chris Brockett +1
cs.LGcs.CLcs.CVarXiv:1812.04155v42018
Neural networks for option pricing and hedging: a literature review
Johannes Ruf, Weiguan Wang
q-fin.CPcs.LGq-fin.RMarXiv:1911.05620v22019
RenderFormer-V2: Neural Rendering with Heterogeneous Scene Primitives
Chong Zeng, Yue Dong, Pieter Peers +2
cs.CVcs.GRcs.LGarXiv:2609.05738v12026
Collective Robot Reinforcement Learning with Distributed Asynchronous Guided Policy Search
Ali Yahya, Adrian Li, Mrinal Kalakrishnan +2
cs.LGcs.AIcs.ROarXiv:1610.00673v12016
Deep Generative Dual Memory Network for Continual Learning
Nitin Kamra, Umang Gupta, Yan Liu
cs.LGarXiv:1710.10368v22017
Knowledge Graph Contrastive Learning Based on Relation-Symmetrical Structure
Ke Liang, Yue Liu, Sihang Zhou +5
cs.AIcs.IRcs.LGarXiv:2211.10738v42022
Diffusion Models for Time Series Applications: A Survey
Lequan Lin, Zhengkun Li, Ruikun Li +2
cs.LGarXiv:2305.00624v12023

Machine Learning

Label-driven weakly-supervised learning for multimodal deformable image registration

Popularity Prediction on Social Platforms with Coupled Graph Neural Networks

Hyperparameter Selection for Offline Reinforcement Learning

Can recurrent neural networks warp time?

Hadronic Mono-Z Dark Matter Sensitivity with Flow Matching on CMS Open Data

Reinforcement Learning of Theorem Proving

Two-stage framework for optic disc localization and glaucoma classification in retinal fundus images using deep learning

Edge Contraction Pooling for Graph Neural Networks

The Visual Insensitivity Gap: Diagnosing When Vision-Language Models Fail to Use Visual Evidence

Contextual Dueling Bandits

A Benchmark and Comparison of Active Learning for Logistic Regression

Spruce: Scalable Private Outsourced Retrieval Using Compact Embeddings

SynthRCT: Scalable Conditional Deformation Synthesis for Synthetic Repeat CT Generation

Leveraging contextual events on structure-aware next activity prediction

Dirty Road Can Attack: Security of Deep Learning based Automated Lane Centering under Physical-World Attack

Mucko: Multi-Layer Cross-Modal Knowledge Reasoning for Fact-based Visual Question Answering

LSTM-TrajGAN: A Deep Learning Approach to Trajectory Privacy Protection

Interpretable Deep Learning for Automatic Diagnosis of 12-lead Electrocardiogram

Adversarial Deep Ensemble: Evasion Attacks and Defenses for Malware Detection

An optimal control perspective on diffusion-based generative modeling

Intrinsic Certified Robustness of Bagging against Data Poisoning Attacks

Distributed Hierarchical GPU Parameter Server for Massive Scale Deep Learning Ads Systems

Leveraging Cardiac Imaging to Improve ECG-Based Detection of Chagas Disease in Resource-Constrained Settings

XAI for Transformers: Better Explanations through Conservative Propagation

Diffusion-based Molecule Generation with Informative Prior Bridges

Generative Spoken Dialogue Language Modeling

How Powerful are Performance Predictors in Neural Architecture Search?

Retinal Vessel Segmentation in Fundoscopic Images with Generative Adversarial Networks

Invariant Causal Prediction for Block MDPs

Document Understanding Dataset and Evaluation (DUDE)

NAOMI: Non-Autoregressive Multiresolution Sequence Imputation

Equivariance Breaks the Learning Rate

Differentiable Particle Filters: End-to-End Learning with Algorithmic Priors

ASTRA-sim2.0: Modeling Hierarchical Networks and Disaggregated Systems for Large-model Training at Scale

Bootstrapping Semantic Segmentation with Regional Contrast

Supervised Pretraining Can Learn In-Context Reinforcement Learning

Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language Models

A Measurement Study of LLM Inference Trade-offs Across Edge Continuum Hardware

Simplifying Hamiltonian and Lagrangian Neural Networks via Explicit Constraints

Architectural Complexity Measures of Recurrent Neural Networks

FedCM: Federated Learning with Client-level Momentum

Solving high-dimensional Hamilton-Jacobi-Bellman PDEs using neural networks: perspectives from the theory of controlled diffusions and measures on path space

IPM-FM: A Foundation Model with Consensus Feature Selection for Industrial Process Monitoring

Condensing Graphs via One-Step Gradient Matching

Learning Hidden Unit Contributions for Unsupervised Acoustic Model Adaptation

Tarsier: Recipes for Training and Evaluating Large Video Description Models

BOME! Bilevel Optimization Made Easy: A Simple First-Order Approach

Audio Super Resolution using Neural Networks

Neural Thompson Sampling

Semantic Human Matting

Synergistic Fusion of Topological Structure and Temporal Semantics of Mobility for Urban Region Embedding

On the Possibilities of AI-Generated Text Detection

Visual Imitation Made Easy

Vision-based Navigation with Language-based Assistance via Imitation Learning with Indirect Intervention

Neural networks for option pricing and hedging: a literature review

RenderFormer-V2: Neural Rendering with Heterogeneous Scene Primitives

Collective Robot Reinforcement Learning with Distributed Asynchronous Guided Policy Search

Deep Generative Dual Memory Network for Continual Learning

Knowledge Graph Contrastive Learning Based on Relation-Symmetrical Structure

Diffusion Models for Time Series Applications: A Survey