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)

20,641 to 20,700 of 33,221

Learning Robust Representations via Multi-View Information Bottleneck
Marco Federici, Anjan Dutta, Patrick Forré +2
cs.LGstat.MLarXiv:2002.07017v22020
Learning with Good Feature Representations in Bandits and in RL with a Generative Model
Tor Lattimore, Csaba Szepesvari, Gellert Weisz
stat.MLcs.LGarXiv:1911.07676v22019
Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality
Xingjun Ma, Bo Li, Yisen Wang +6
cs.LGcs.CRcs.CVarXiv:1801.02613v32018
PDE-Net: Learning PDEs from Data
Zichao Long, Yiping Lu, Xianzhong Ma +1
math.NAcs.LGcs.NEarXiv:1710.09668v22017
Towards a Rigorous Evaluation of Time-series Anomaly Detection
Siwon Kim, Kukjin Choi, Hyun-Soo Choi +2
cs.LGcs.AIstat.MEarXiv:2109.05257v22021
Open Source Software for Efficient and Transparent Reviews
Rens van de Schoot, Jonathan de Bruin, Raoul Schram +14
cs.IRcs.LGarXiv:2006.12166v32020
Geodesic-informed Generative Diffusion Model For Topology-preserved Image Video Generation
Nian Wu, Nivetha Jayakumar, Jiarui Xing +1
cs.LGcs.CVcs.GRarXiv:2609.08153v12026
Graph Neural Ordinary Differential Equations
Michael Poli, Stefano Massaroli, Junyoung Park +3
cs.LGcs.AIstat.MLarXiv:1911.07532v42019
Model Inversion Networks for Model-Based Optimization
Aviral Kumar, Sergey Levine
cs.LGstat.MLarXiv:1912.13464v12019
Simultaneous Corn and Soybean Yield Prediction from Remote Sensing Data Using Deep Transfer Learning
Saeed Khaki, Hieu Pham, Lizhi Wang
cs.CVcs.LGeess.IVarXiv:2012.03129v32020
Learning Open Set Network with Discriminative Reciprocal Points
Guangyao Chen, Limeng Qiao, Yemin Shi +5
cs.CVcs.LGarXiv:2011.00178v12020
X-Reasoner: Towards Generalizable Reasoning Across Modalities and Domains
Qianchu Liu, Sheng Zhang, Guanghui Qin +9
cs.AIcs.CLcs.LGarXiv:2505.03981v12025
Deep Weakly-supervised Anomaly Detection
Guansong Pang, Chunhua Shen, Huidong Jin +1
cs.LGstat.MLarXiv:1910.13601v42019
From Modes to Memories: Characterizing the Scale-Space Dynamics of Diffusion Models
Cristina López Amado, Marco Fumero, Francesco Locatello
cs.LGcs.AIcs.CVarXiv:2609.39648v12026
Deep 1D-Convnet for accurate Parkinson disease detection and severity prediction from gait
Imanne El Maachi, Guillaume-Alexandre Bilodeau, Wassim Bouachir
cs.LGcs.CVeess.IVarXiv:1910.11509v42019
Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity
Deepak Pathak, Chris Lu, Trevor Darrell +2
cs.LGcs.AIcs.CVarXiv:1902.05546v22019
Pooling Helps, Learned Weighting Hurts In-Context: Decomposing Group Attention
Michael Fore, James Mason Inder, Mrishika Nair +2
cs.LGarXiv:2610.01831v12026
Explainable $k$-Means and $k$-Medians Clustering
Sanjoy Dasgupta, Nave Frost, Michal Moshkovitz +1
cs.LGcs.CGcs.DSarXiv:2002.12538v22020
Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination
Zhirong Wu, Yuanjun Xiong, Stella Yu +1
cs.CVcs.LGarXiv:1805.01978v12018
A Prototype-Oriented Framework for Unsupervised Domain Adaptation
Korawat Tanwisuth, Xinjie Fan, Huangjie Zheng +4
cs.LGcs.CVstat.MLarXiv:2110.12024v12021
Transformers for Modeling Physical Systems
Nicholas Geneva, Nicholas Zabaras
cs.LGphysics.comp-pharXiv:2010.03957v62020
Towards Visually Explaining Variational Autoencoders
Wenqian Liu, Runze Li, Meng Zheng +5
cs.CVcs.LGarXiv:1911.07389v72019
On Valid Optimal Assignment Kernels and Applications to Graph Classification
Nils M. Kriege, Pierre-Louis Giscard, Richard C. Wilson
cs.LGstat.MLarXiv:1606.01141v32016
Deep Models of Interactions Across Sets
Jason Hartford, Devon R Graham, Kevin Leyton-Brown +1
stat.MLcs.LGarXiv:1803.02879v22018
Near-Optimal Reinforcement Learning with Self-Play
Yu Bai, Chi Jin, Tiancheng Yu
cs.LGcs.AIstat.MLarXiv:2006.12007v22020
Knowledge Graph Completion via Complex Tensor Factorization
Théo Trouillon, Christopher R. Dance, Johannes Welbl +3
cs.AIcs.LGmath.SParXiv:1702.06879v22017
ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations
Ekagra Ranjan, Soumya Sanyal, Partha Pratim Talukdar
cs.LGstat.MLarXiv:1911.07979v32019
Learning to Compose Domain-Specific Transformations for Data Augmentation
Alexander J. Ratner, Henry R. Ehrenberg, Zeshan Hussain +2
stat.MLcs.CVcs.LGarXiv:1709.01643v32017
Efficiently Identifying Task Groupings for Multi-Task Learning
Christopher Fifty, Ehsan Amid, Zhe Zhao +3
cs.LGcs.AIcs.CVarXiv:2109.04617v22021
Radial-Based Undersampling for Imbalanced Data Classification
Michał Koziarski
cs.LGstat.MLarXiv:1906.00452v22019
A Troubling Analysis of Reproducibility and Progress in Recommender Systems Research
Maurizio Ferrari Dacrema, Simone Boglio, Paolo Cremonesi +1
cs.IRcs.LGcs.NEarXiv:1911.07698v32019
Maxmin Q-learning: Controlling the Estimation Bias of Q-learning
Qingfeng Lan, Yangchen Pan, Alona Fyshe +1
cs.LGcs.AIarXiv:2002.06487v22020
Generalization in Neural Networks Through the Lens of Magnitude Potential
Sahel Torkamani, Henry Gouk, Rik Sarkar
cs.LGarXiv:2610.01633v12026
Improving the Robustness of Deep Neural Networks via Stability Training
Stephan Zheng, Yang Song, Thomas Leung +1
cs.CVcs.LGarXiv:1604.04326v12016
Loom: Weaving Diagnostic Strands into Free-Text Consensus via Embedding-Space Reweighting
Ron Begleiter, Katya Egert Berg, Gilad Saban +1
cs.AIcs.CLcs.LGarXiv:2609.02649v12026
Likelihood Training of Schrödinger Bridge using Forward-Backward SDEs Theory
Tianrong Chen, Guan-Horng Liu, Evangelos A. Theodorou
stat.MLcs.LGmath.AParXiv:2110.11291v52021
Predictive Multiplicity in Classification
Charles T. Marx, Flavio du Pin Calmon, Berk Ustun
cs.LGcs.CYstat.MLarXiv:1909.06677v42019
Faithful Persona-based Conversational Dataset Generation with Large Language Models
Pegah Jandaghi, XiangHai Sheng, Xinyi Bai +2
cs.CLcs.LGarXiv:2312.10007v12023
High-Value Synthetic Supervision for Parameter-Efficient Adaptation of a Compact Japanese Speech Model
Sidi Chang, Peiying Zhu
cs.SDcs.CLcs.LGarXiv:2610.00026v12026
CrossCLR: Cross-modal Contrastive Learning For Multi-modal Video Representations
Mohammadreza Zolfaghari, Yi Zhu, Peter Gehler +1
cs.CVcs.AIcs.LGarXiv:2109.14910v12021
Attentive Pooling Networks
Cicero dos Santos, Ming Tan, Bing Xiang +1
cs.CLcs.LGarXiv:1602.03609v12016
Few-Shot Learning Through an Information Retrieval Lens
Eleni Triantafillou, Richard Zemel, Raquel Urtasun
cs.LGarXiv:1707.02610v22017
A Universal Representation Transformer Layer for Few-Shot Image Classification
Lu Liu, William Hamilton, Guodong Long +2
cs.LGcs.CVstat.MLarXiv:2006.11702v42020
MeshDiffusion: Score-based Generative 3D Mesh Modeling
Zhen Liu, Yao Feng, Michael J. Black +3
cs.GRcs.AIcs.CVarXiv:2303.08133v22023
A Sufficient Condition for Convergences of Adam and RMSProp
Fangyu Zou, Li Shen, Zequn Jie +2
cs.LGcs.CVmath.NAarXiv:1811.09358v32018
A Novel GAN-based Fault Diagnosis Approach for Imbalanced Industrial Time Series
Wenqian Jiang, Cheng Cheng, Beitong Zhou +2
cs.LGstat.MLarXiv:1904.00575v12019
Uncovering Hidden Leptonic Correlations with Flow Matching and Autoencoders
Haruto Kitagawa, Satsuki Nishimura, Hajime Otsuka
hep-phcs.LGhep-tharXiv:2608.15042v12026
Learning Plannable Representations with Causal InfoGAN
Thanard Kurutach, Aviv Tamar, Ge Yang +2
cs.LGcs.AIcs.CVarXiv:1807.09341v12018
ADMM-NN: An Algorithm-Hardware Co-Design Framework of DNNs Using Alternating Direction Method of Multipliers
Ao Ren, Tianyun Zhang, Shaokai Ye +5
cs.LGcs.AIcs.ARarXiv:1812.11677v12018
Scaling Laws for Neural Machine Translation
Behrooz Ghorbani, Orhan Firat, Markus Freitag +5
cs.LGcs.AIcs.CLarXiv:2109.07740v12021
From Ordered Bernoulli Levels to Critical-Line Geometry: Integer Quantization, Bernoulli Residual Phase, and Prime-Power Spectra
Y. Kenan Yılmaz
cs.LGmath.NTarXiv:2609.03801v12026
Representation via Representations: Domain Generalization via Adversarially Learned Invariant Representations
Zhun Deng, Frances Ding, Cynthia Dwork +4
cs.LGstat.MLarXiv:2006.11478v12020
Repairability of Inexact Solvers in Recursive State Estimation with Machine Learning
Yanjun Ji, Dennis Willsch, Orkun Şensebat +8
quant-phcs.LGarXiv:2609.28425v12026
Looped Transformers as Programmable Computers
Angeliki Giannou, Shashank Rajput, Jy-yong Sohn +3
cs.LGcs.AIarXiv:2301.13196v12023
Relating Graph Neural Networks to Structural Causal Models
Matej Zečević, Devendra Singh Dhami, Petar Veličković +1
cs.LGstat.MLarXiv:2109.04173v32021
DevBench: A Realistic, Developer-Informed Benchmark for Code Generation Models
Adarsh Kumarappan, Pareesa Ameneh Golnari, Wen Wen +5
cs.LGcs.AIcs.SEarXiv:2601.11895v32026
Tag-Aware Ordinal Sparse Factor Analysis for Learning and Content Analytics
Andrew S. Lan, Christoph Studer, Andrew E. Waters +1
stat.MLcs.LGarXiv:1412.5967v12014
Kitsune: An Ensemble of Autoencoders for Online Network Intrusion Detection
Yisroel Mirsky, Tomer Doitshman, Yuval Elovici +1
cs.CRcs.AIcs.LGarXiv:1802.09089v22018
Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey
Arun Das, Paul Rad
cs.CVcs.AIcs.LGarXiv:2006.11371v22020
Algorithmic progress in computer vision
Ege Erdil, Tamay Besiroglu
cs.CVcs.LGarXiv:2212.05153v42022

Machine Learning

Learning Robust Representations via Multi-View Information Bottleneck

Learning with Good Feature Representations in Bandits and in RL with a Generative Model

Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality

PDE-Net: Learning PDEs from Data

Towards a Rigorous Evaluation of Time-series Anomaly Detection

Open Source Software for Efficient and Transparent Reviews

Geodesic-informed Generative Diffusion Model For Topology-preserved Image Video Generation

Graph Neural Ordinary Differential Equations

Model Inversion Networks for Model-Based Optimization

Simultaneous Corn and Soybean Yield Prediction from Remote Sensing Data Using Deep Transfer Learning

Learning Open Set Network with Discriminative Reciprocal Points

X-Reasoner: Towards Generalizable Reasoning Across Modalities and Domains

Deep Weakly-supervised Anomaly Detection

From Modes to Memories: Characterizing the Scale-Space Dynamics of Diffusion Models

Deep 1D-Convnet for accurate Parkinson disease detection and severity prediction from gait

Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity

Pooling Helps, Learned Weighting Hurts In-Context: Decomposing Group Attention

Explainable $k$-Means and $k$-Medians Clustering

Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination

A Prototype-Oriented Framework for Unsupervised Domain Adaptation

Transformers for Modeling Physical Systems

Towards Visually Explaining Variational Autoencoders

On Valid Optimal Assignment Kernels and Applications to Graph Classification

Deep Models of Interactions Across Sets

Near-Optimal Reinforcement Learning with Self-Play

Knowledge Graph Completion via Complex Tensor Factorization

ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations

Learning to Compose Domain-Specific Transformations for Data Augmentation

Efficiently Identifying Task Groupings for Multi-Task Learning

Radial-Based Undersampling for Imbalanced Data Classification

A Troubling Analysis of Reproducibility and Progress in Recommender Systems Research

Maxmin Q-learning: Controlling the Estimation Bias of Q-learning

Generalization in Neural Networks Through the Lens of Magnitude Potential

Improving the Robustness of Deep Neural Networks via Stability Training

Loom: Weaving Diagnostic Strands into Free-Text Consensus via Embedding-Space Reweighting

Likelihood Training of Schrödinger Bridge using Forward-Backward SDEs Theory

Predictive Multiplicity in Classification

Faithful Persona-based Conversational Dataset Generation with Large Language Models

High-Value Synthetic Supervision for Parameter-Efficient Adaptation of a Compact Japanese Speech Model

CrossCLR: Cross-modal Contrastive Learning For Multi-modal Video Representations

Attentive Pooling Networks

Few-Shot Learning Through an Information Retrieval Lens

A Universal Representation Transformer Layer for Few-Shot Image Classification

MeshDiffusion: Score-based Generative 3D Mesh Modeling

A Sufficient Condition for Convergences of Adam and RMSProp

A Novel GAN-based Fault Diagnosis Approach for Imbalanced Industrial Time Series

Uncovering Hidden Leptonic Correlations with Flow Matching and Autoencoders

Learning Plannable Representations with Causal InfoGAN

ADMM-NN: An Algorithm-Hardware Co-Design Framework of DNNs Using Alternating Direction Method of Multipliers

Scaling Laws for Neural Machine Translation

From Ordered Bernoulli Levels to Critical-Line Geometry: Integer Quantization, Bernoulli Residual Phase, and Prime-Power Spectra

Representation via Representations: Domain Generalization via Adversarially Learned Invariant Representations

Repairability of Inexact Solvers in Recursive State Estimation with Machine Learning

Looped Transformers as Programmable Computers

Relating Graph Neural Networks to Structural Causal Models

DevBench: A Realistic, Developer-Informed Benchmark for Code Generation Models

Tag-Aware Ordinal Sparse Factor Analysis for Learning and Content Analytics

Kitsune: An Ensemble of Autoencoders for Online Network Intrusion Detection

Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey

Algorithmic progress in computer vision