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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20,581 to 20,640 of 33,197

Convolutional Neural Networks using Logarithmic Data Representation
Daisuke Miyashita, Edward H. Lee, Boris Murmann
cs.NEcs.LGarXiv:1603.01025v22016
Filter Response Normalization Layer: Eliminating Batch Dependence in the Training of Deep Neural Networks
Saurabh Singh, Shankar Krishnan
cs.LGcs.CVstat.MLarXiv:1911.09737v22019
A Survey on Deep Learning for Localization and Mapping: Towards the Age of Spatial Machine Intelligence
Changhao Chen, Bing Wang, Chris Xiaoxuan Lu +2
cs.CVcs.LGcs.ROarXiv:2006.12567v22020
Software Engineering for Fairness: A Case Study with Hyperparameter Optimization
Joymallya Chakraborty, Tianpei Xia, Fahmid M. Fahid +1
cs.SEcs.LGarXiv:1905.05786v22019
Transferability and Hardness of Supervised Classification Tasks
Anh T. Tran, Cuong V. Nguyen, Tal Hassner
cs.LGcs.CVstat.MLarXiv:1908.08142v12019
Span-based Joint Entity and Relation Extraction with Transformer Pre-training
Markus Eberts, Adrian Ulges
cs.CLcs.LGarXiv:1909.07755v42019
Uncertainty-Aware Learning from Multi-Expert Interval Targets
Samira Alkaee Taleghan, Younghyun Koo, Andrew P. Barrett +1
cs.LGarXiv:2610.00102v12026
Are Diffusion Models Vulnerable to Membership Inference Attacks?
Jinhao Duan, Fei Kong, Shiqi Wang +2
cs.CVcs.AIcs.CRarXiv:2302.01316v22023
WaveletKernelNet: An Interpretable Deep Neural Network for Industrial Intelligent Diagnosis
Tianfu Li, Zhibin Zhao, Chuang Sun +4
cs.CVcs.LGcs.NEarXiv:1911.07925v32019
The Anatomy of a Cryptocurrency Pump-and-Dump Scheme
Jiahua Xu, Benjamin Livshits
q-fin.TRcs.LGarXiv:1811.10109v22018
Is Heterophily A Real Nightmare For Graph Neural Networks To Do Node Classification?
Sitao Luan, Chenqing Hua, Qincheng Lu +5
cs.LGcs.SIarXiv:2109.05641v12021
The Depth-to-Width Interplay in Self-Attention
Yoav Levine, Noam Wies, Or Sharir +2
cs.LGcs.CLstat.MLarXiv:2006.12467v32020
Modality to Modality Translation: An Adversarial Representation Learning and Graph Fusion Network for Multimodal Fusion
Sijie Mai, Haifeng Hu, Songlong Xing
cs.CVcs.LGcs.MMarXiv:1911.07848v42019
Wavesplit: End-to-End Speech Separation by Speaker Clustering
Neil Zeghidour, David Grangier
eess.AScs.CLcs.LGarXiv:2002.08933v22020
Nonconvex Low-Rank Tensor Completion from Noisy Data
Changxiao Cai, Gen Li, H. Vincent Poor +1
cs.LGcs.ITmath.ITarXiv:1911.04436v22019
Performance Comparison of Intrusion Detection Systems and Application of Machine Learning to Snort System
Syed Ali Raza Shah, Biju Issac
cs.NIcs.CRcs.LGarXiv:1710.04843v22017
Federated Learning in the Sky: Joint Power Allocation and Scheduling with UAV Swarms
Tengchan Zeng, Omid Semiari, Mohammad Mozaffari +3
cs.LGcs.ITcs.ROarXiv:2002.08196v22020
Nearly-tight VC-dimension and pseudodimension bounds for piecewise linear neural networks
Peter L. Bartlett, Nick Harvey, Chris Liaw +1
cs.LGarXiv:1703.02930v32017
Large-Margin Softmax Loss for Convolutional Neural Networks
Weiyang Liu, Yandong Wen, Zhiding Yu +1
stat.MLcs.LGarXiv:1612.02295v42016
Learning Relevant Features of Data with Multi-scale Tensor Networks
E. M. Stoudenmire
stat.MLcond-mat.stat-mechcond-mat.str-elarXiv:1801.00315v12017
HNHN: Hypergraph Networks with Hyperedge Neurons
Yihe Dong, Will Sawin, Yoshua Bengio
cs.LGstat.MLarXiv:2006.12278v12020
Neural Flows: Efficient Alternative to Neural ODEs
Marin Biloš, Johanna Sommer, Syama Sundar Rangapuram +2
cs.LGcs.NAmath.NAarXiv:2110.13040v12021
SemDeDup: Data-efficient learning at web-scale through semantic deduplication
Amro Abbas, Kushal Tirumala, Dániel Simig +2
cs.LGcs.AIcs.CVarXiv:2303.09540v32023
Blockwise Self-Attention for Long Document Understanding
Jiezhong Qiu, Hao Ma, Omer Levy +3
cs.CLcs.LGarXiv:1911.02972v22019
Contrastive learning of global and local features for medical image segmentation with limited annotations
Krishna Chaitanya, Ertunc Erdil, Neerav Karani +1
cs.CVcs.LGeess.IVarXiv:2006.10511v22020
Constrained Variational Policy Optimization for Safe Reinforcement Learning
Zuxin Liu, Zhepeng Cen, Vladislav Isenbaev +4
cs.LGcs.AIcs.ROarXiv:2201.11927v32022
TerDiT: Ternary Diffusion Models with Transformers
Xudong Lu, Aojun Zhou, Ziyi Lin +7
cs.CVcs.LGarXiv:2405.14854v22024
Two for One: Diffusion Models and Force Fields for Coarse-Grained Molecular Dynamics
Marloes Arts, Victor Garcia Satorras, Chin-Wei Huang +6
cs.LGarXiv:2302.00600v32023
COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Co-evolution
Mehrdad Farajtabar, Yichen Wang, Manuel Gomez Rodriguez +3
cs.SIcs.LGphysics.soc-pharXiv:1507.02293v22015
NSCaching: Simple and Efficient Negative Sampling for Knowledge Graph Embedding
Yongqi Zhang, Quanming Yao, Yingxia Shao +1
cs.AIcs.CLcs.LGarXiv:1812.06410v22018
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

Machine Learning

Convolutional Neural Networks using Logarithmic Data Representation

Filter Response Normalization Layer: Eliminating Batch Dependence in the Training of Deep Neural Networks

A Survey on Deep Learning for Localization and Mapping: Towards the Age of Spatial Machine Intelligence

Software Engineering for Fairness: A Case Study with Hyperparameter Optimization

Transferability and Hardness of Supervised Classification Tasks

Span-based Joint Entity and Relation Extraction with Transformer Pre-training

Uncertainty-Aware Learning from Multi-Expert Interval Targets

Are Diffusion Models Vulnerable to Membership Inference Attacks?

WaveletKernelNet: An Interpretable Deep Neural Network for Industrial Intelligent Diagnosis

The Anatomy of a Cryptocurrency Pump-and-Dump Scheme

Is Heterophily A Real Nightmare For Graph Neural Networks To Do Node Classification?

The Depth-to-Width Interplay in Self-Attention

Modality to Modality Translation: An Adversarial Representation Learning and Graph Fusion Network for Multimodal Fusion

Wavesplit: End-to-End Speech Separation by Speaker Clustering

Nonconvex Low-Rank Tensor Completion from Noisy Data

Performance Comparison of Intrusion Detection Systems and Application of Machine Learning to Snort System

Federated Learning in the Sky: Joint Power Allocation and Scheduling with UAV Swarms

Nearly-tight VC-dimension and pseudodimension bounds for piecewise linear neural networks

Large-Margin Softmax Loss for Convolutional Neural Networks

Learning Relevant Features of Data with Multi-scale Tensor Networks

HNHN: Hypergraph Networks with Hyperedge Neurons

Neural Flows: Efficient Alternative to Neural ODEs

SemDeDup: Data-efficient learning at web-scale through semantic deduplication

Blockwise Self-Attention for Long Document Understanding

Contrastive learning of global and local features for medical image segmentation with limited annotations

Constrained Variational Policy Optimization for Safe Reinforcement Learning

TerDiT: Ternary Diffusion Models with Transformers

Two for One: Diffusion Models and Force Fields for Coarse-Grained Molecular Dynamics

COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Co-evolution

NSCaching: Simple and Efficient Negative Sampling for Knowledge Graph Embedding

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