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)

30,601 to 30,660 of 32,660

Towards Accountable AI: Hybrid Human-Machine Analyses for Characterizing System Failure
Besmira Nushi, Ece Kamar, Eric Horvitz
cs.LGcs.AIcs.HCarXiv:1809.07424v12018
Lightweight Probabilistic Downscaling from a Deterministic Base Model
Joseph McLean, Tiffany Vlaar, Sigrid Passano Hellan +1
cs.LGarXiv:2609.29383v12026
Governing autonomous vehicles: emerging responses for safety, liability, privacy, cybersecurity, and industry risks
Araz Taeihagh, Hazel Si Min Lim
cs.CYcs.AIcs.CRarXiv:1807.05720v12018
FlowAtom: Atom-Based Evidence Aggregation for Multi-Label Website Fingerprinting
Chongru Fan, Wentao Huang, Wei Wang +4
cs.LGcs.NIarXiv:2609.29330v12026
Recurrent World Models Facilitate Policy Evolution
David Ha, Jürgen Schmidhuber
cs.LGstat.MLarXiv:1809.01999v12018
SMILESGNN: Interpretable Clinical Toxicity Prediction via SMILES-Graph Cross-Attention Fusion
Quang Minh Nguyen, Thuy Quynh Nguyen, Duc Minh Le +3
cs.LGcs.AIarXiv:2609.28553v12026
RoboTurk: A Crowdsourcing Platform for Robotic Skill Learning through Imitation
Ajay Mandlekar, Yuke Zhu, Animesh Garg +9
cs.ROcs.AIcs.LGarXiv:1811.02790v12018
WaveGlow: A Flow-based Generative Network for Speech Synthesis
Ryan Prenger, Rafael Valle, Bryan Catanzaro
cs.SDcs.AIcs.LGarXiv:1811.00002v12018
Self-Attention Generative Adversarial Networks
Han Zhang, Ian Goodfellow, Dimitris Metaxas +1
stat.MLcs.LGarXiv:1805.08318v22018
SNIP: Single-shot Network Pruning based on Connection Sensitivity
Namhoon Lee, Thalaiyasingam Ajanthan, Philip H. S. Torr
cs.CVcs.LGarXiv:1810.02340v22018
SuperDepth: Self-Supervised, Super-Resolved Monocular Depth Estimation
Sudeep Pillai, Rares Ambrus, Adrien Gaidon
cs.CVcs.AIcs.LGarXiv:1810.01849v12018
Highly Scalable Deep Learning Training System with Mixed-Precision: Training ImageNet in Four Minutes
Xianyan Jia, Shutao Song, Wei He +11
cs.LGcs.DCstat.MLarXiv:1807.11205v12018
How good is my GAN?
Konstantin Shmelkov, Cordelia Schmid, Karteek Alahari
cs.CVcs.LGarXiv:1807.09499v12018
Towards Explainable NLP: A Generative Explanation Framework for Text Classification
Hui Liu, Qingyu Yin, William Yang Wang
cs.CLcs.AIcs.LGarXiv:1811.00196v22018
Learning State Representations for Query Optimization with Deep Reinforcement Learning
Jennifer Ortiz, Magdalena Balazinska, Johannes Gehrke +1
cs.DBcs.AIcs.LGarXiv:1803.08604v12018
Towards Deployable Underwater Vessel Classification
Abishek Soti, Thura Pyae Sone, Naqib Ibnul +4
cs.SDcs.LGarXiv:2609.29179v12026
Decoupled Neural Interfaces using Synthetic Gradients
Max Jaderberg, Wojciech Marian Czarnecki, Simon Osindero +4
cs.LGarXiv:1608.05343v22016
Deep Neural Network Compression for Aircraft Collision Avoidance Systems
Kyle D. Julian, Mykel J. Kochenderfer, Michael P. Owen
cs.LGstat.MLarXiv:1810.04240v12018
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
Distribution Matching Losses Can Hallucinate Features in Medical Image Translation
Joseph Paul Cohen, Margaux Luck, Sina Honari
cs.CVcs.LGarXiv:1805.08841v32018
Group Sparse Regularization for Deep Neural Networks
Simone Scardapane, Danilo Comminiello, Amir Hussain +1
stat.MLcs.LGarXiv:1607.00485v12016
Learning to Evaluate Image Captioning
Yin Cui, Guandao Yang, Andreas Veit +2
cs.CVcs.LGarXiv:1806.06422v12018
Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning
Yin Cui, Yang Song, Chen Sun +2
cs.CVcs.LGarXiv:1806.06193v12018
EEG-GAN: Generative adversarial networks for electroencephalograhic (EEG) brain signals
Kay Gregor Hartmann, Robin Tibor Schirrmeister, Tonio Ball
eess.SPcs.LGq-bio.NCarXiv:1806.01875v12018
Tile2Vec: Unsupervised representation learning for spatially distributed data
Neal Jean, Sherrie Wang, Anshul Samar +3
cs.CVcs.LGstat.MLarXiv:1805.02855v22018
Learning to See in the Dark
Chen Chen, Qifeng Chen, Jia Xu +1
cs.CVcs.GRcs.LGarXiv:1805.01934v12018
The Curse of Multilinguality in Lexical Normalization
Saman Rahbar
cs.CLcs.AIcs.LGarXiv:2609.00329v12026
Var-CNN: A Data-Efficient Website Fingerprinting Attack Based on Deep Learning
Sanjit Bhat, David Lu, Albert Kwon +1
cs.CRcs.LGarXiv:1802.10215v22018
KVAE: Family of Tokenizers for Multimodal Generative Models
Andrey Shutkin, Denis Parkhomenko, Ivan Kirillov +11
cs.CVcs.LGcs.SDarXiv:2608.05798v12026
Detecting Cyberattacks in Industrial Control Systems Using Convolutional Neural Networks
Moshe Kravchik, Asaf Shabtai
cs.CRcs.LGarXiv:1806.08110v22018
UKP-Athene: Multi-Sentence Textual Entailment for Claim Verification
Andreas Hanselowski, Hao Zhang, Zile Li +4
cs.IRcs.AIcs.CLarXiv:1809.01479v52018
InteriorNet: Mega-scale Multi-sensor Photo-realistic Indoor Scenes Dataset
Wenbin Li, Sajad Saeedi, John McCormac +6
cs.CVcs.AIcs.LGarXiv:1809.00716v12018
Pix3D: Dataset and Methods for Single-Image 3D Shape Modeling
Xingyuan Sun, Jiajun Wu, Xiuming Zhang +5
cs.CVcs.LGarXiv:1804.04610v12018
Reproducible evaluation of classification methods in Alzheimer's disease: framework and application to MRI and PET data
Jorge Samper-González, Ninon Burgos, Simona Bottani +13
cs.LGstat.MLarXiv:1808.06452v12018
Tracing Audio Grounding and Answer Selection in Audio LLMs
Hyebin Cho, Suho Yoo, Jihoo Jung +1
cs.CLcs.AIcs.LGarXiv:2609.04637v12026
Deep Reinforcement Learning for Vision-Based Robotic Grasping: A Simulated Comparative Evaluation of Off-Policy Methods
Deirdre Quillen, Eric Jang, Ofir Nachum +3
cs.ROcs.LGstat.MLarXiv:1802.10264v22018
Efficient AI Model Deployment Using Quantization Analysis Tool
Dwith Chenna, Kanishka Macherla
cs.LGarXiv:2609.11954v12026
A Survey on Deep Transfer Learning
Chuanqi Tan, Fuchun Sun, Tao Kong +3
cs.LGstat.MLarXiv:1808.01974v12018
BharatGather: A Culturally-Informed Benchmark Dataset for Misinformation and Fake News Detection in Indian Public Events
Parth Bramhecha, Smit Deshmukh, Sairaj Bodhale +2
cs.CLcs.LGarXiv:2609.02895v12026
Manifold: A Model-Agnostic Framework for Interpretation and Diagnosis of Machine Learning Models
Jiawei Zhang, Yang Wang, Piero Molino +2
cs.LGcs.HCstat.MLarXiv:1808.00196v12018
DPatch: An Adversarial Patch Attack on Object Detectors
Xin Liu, Huanrui Yang, Ziwei Liu +3
cs.CVcs.CRcs.LGarXiv:1806.02299v42018
A Comparative Study of Graph Representations for GNN-Based Power Grid Control in L2RPN
Adrian Degenkolb, Qiong Huang, Benjamin Schäfer
cs.LGarXiv:2609.02538v12026
MUC-FL: Block-Wise Marginal Utility Contribution for Communication-Efficient Federated Learning
Akshay Mhatre, Vikram Karthick, Deepti Gupta +1
cs.DCcs.LGarXiv:2609.10545v12026
Privacy Preserving Machine Learning: Threats and Solutions
Mohammad Al-Rubaie, J. Morris Chang
cs.CRcs.LGarXiv:1804.11238v12018
Driving Policy Transfer via Modularity and Abstraction
Matthias Müller, Alexey Dosovitskiy, Bernard Ghanem +1
cs.ROcs.CVcs.LGarXiv:1804.09364v32018
Machine Learning DDoS Detection for Consumer Internet of Things Devices
Rohan Doshi, Noah Apthorpe, Nick Feamster
cs.CRcs.LGarXiv:1804.04159v12018
Troubling Trends in Machine Learning Scholarship
Zachary C. Lipton, Jacob Steinhardt
stat.MLcs.AIcs.LGarXiv:1807.03341v22018
Comparison of non-linear activation functions for deep neural networks on MNIST classification task
Dabal Pedamonti
cs.LGstat.MLarXiv:1804.02763v12018
Generative Adversarial Networks for Extreme Learned Image Compression
Eirikur Agustsson, Michael Tschannen, Fabian Mentzer +2
cs.CVcs.LGarXiv:1804.02958v32018
CARDINAL Predicts Cardiovascular Risk From Non-contrast Cardiac CT
Roy Gabriel, Nattakorn Kittisut, Jamshid Hassanpour +6
eess.IVcs.AIcs.CVarXiv:2608.27690v12026
RetainVis: Visual Analytics with Interpretable and Interactive Recurrent Neural Networks on Electronic Medical Records
Bum Chul Kwon, Min-Je Choi, Joanne Taery Kim +5
cs.LGcs.HCstat.MLarXiv:1805.10724v32018
DeepSOFA: A Continuous Acuity Score for Critically Ill Patients using Clinically Interpretable Deep Learning
Benjamin Shickel, Tyler J. Loftus, Lasith Adhikari +3
cs.LGcs.AIstat.AParXiv:1802.10238v42018
Three dimensional Deep Learning approach for remote sensing image classification
Amina Ben Hamida, A Benoit, Patrick Lambert +1
cs.CVcs.LGstat.MLarXiv:1806.05824v12018
Exploring the Encoding Layer and Loss Function in End-to-End Speaker and Language Recognition System
Weicheng Cai, Jinkun Chen, Ming Li
eess.AScs.LGcs.SDarXiv:1804.05160v12018
DeepTriage: Exploring the Effectiveness of Deep Learning for Bug Triaging
Senthil Mani, Anush Sankaran, Rahul Aralikatte
cs.SEcs.LGarXiv:1801.01275v12018
On the Robustness of the CVPR 2018 White-Box Adversarial Example Defenses
Anish Athalye, Nicholas Carlini
cs.CVcs.CRcs.LGarXiv:1804.03286v12018
Generalized Zero-Shot Learning via Synthesized Examples
Vinay Kumar Verma, Gundeep Arora, Ashish Mishra +1
cs.LGcs.CVstat.MLarXiv:1712.03878v52017
Relational recurrent neural networks
Adam Santoro, Ryan Faulkner, David Raposo +7
cs.LGstat.MLarXiv:1806.01822v22018
Graph Convolutional Neural Networks for Web-Scale Recommender Systems
Rex Ying, Ruining He, Kaifeng Chen +3
cs.IRcs.LGstat.MLarXiv:1806.01973v12018
One Residual with Three Reuses: A Wristband Front End for Gesture Sensing
Sam Rifaki
cs.LGcs.ARcs.HCarXiv:2608.16542v12026
Summaries:한국어

Machine Learning

Towards Accountable AI: Hybrid Human-Machine Analyses for Characterizing System Failure

Lightweight Probabilistic Downscaling from a Deterministic Base Model

Governing autonomous vehicles: emerging responses for safety, liability, privacy, cybersecurity, and industry risks

FlowAtom: Atom-Based Evidence Aggregation for Multi-Label Website Fingerprinting

Recurrent World Models Facilitate Policy Evolution

SMILESGNN: Interpretable Clinical Toxicity Prediction via SMILES-Graph Cross-Attention Fusion

RoboTurk: A Crowdsourcing Platform for Robotic Skill Learning through Imitation

WaveGlow: A Flow-based Generative Network for Speech Synthesis

Self-Attention Generative Adversarial Networks

SNIP: Single-shot Network Pruning based on Connection Sensitivity

SuperDepth: Self-Supervised, Super-Resolved Monocular Depth Estimation

Highly Scalable Deep Learning Training System with Mixed-Precision: Training ImageNet in Four Minutes

How good is my GAN?

Towards Explainable NLP: A Generative Explanation Framework for Text Classification

Learning State Representations for Query Optimization with Deep Reinforcement Learning

Towards Deployable Underwater Vessel Classification

Decoupled Neural Interfaces using Synthetic Gradients

Deep Neural Network Compression for Aircraft Collision Avoidance Systems

General-purpose Tagging of Freesound Audio with AudioSet Labels: Task Description, Dataset, and Baseline

Distribution Matching Losses Can Hallucinate Features in Medical Image Translation

Group Sparse Regularization for Deep Neural Networks

Learning to Evaluate Image Captioning

Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning

EEG-GAN: Generative adversarial networks for electroencephalograhic (EEG) brain signals

Tile2Vec: Unsupervised representation learning for spatially distributed data

Learning to See in the Dark

The Curse of Multilinguality in Lexical Normalization

Var-CNN: A Data-Efficient Website Fingerprinting Attack Based on Deep Learning

KVAE: Family of Tokenizers for Multimodal Generative Models

Detecting Cyberattacks in Industrial Control Systems Using Convolutional Neural Networks

UKP-Athene: Multi-Sentence Textual Entailment for Claim Verification

InteriorNet: Mega-scale Multi-sensor Photo-realistic Indoor Scenes Dataset

Pix3D: Dataset and Methods for Single-Image 3D Shape Modeling

Reproducible evaluation of classification methods in Alzheimer's disease: framework and application to MRI and PET data

Tracing Audio Grounding and Answer Selection in Audio LLMs

Deep Reinforcement Learning for Vision-Based Robotic Grasping: A Simulated Comparative Evaluation of Off-Policy Methods

Efficient AI Model Deployment Using Quantization Analysis Tool

A Survey on Deep Transfer Learning

BharatGather: A Culturally-Informed Benchmark Dataset for Misinformation and Fake News Detection in Indian Public Events

Manifold: A Model-Agnostic Framework for Interpretation and Diagnosis of Machine Learning Models

DPatch: An Adversarial Patch Attack on Object Detectors

A Comparative Study of Graph Representations for GNN-Based Power Grid Control in L2RPN

MUC-FL: Block-Wise Marginal Utility Contribution for Communication-Efficient Federated Learning

Privacy Preserving Machine Learning: Threats and Solutions

Driving Policy Transfer via Modularity and Abstraction

Machine Learning DDoS Detection for Consumer Internet of Things Devices

Troubling Trends in Machine Learning Scholarship

Comparison of non-linear activation functions for deep neural networks on MNIST classification task

Generative Adversarial Networks for Extreme Learned Image Compression

CARDINAL Predicts Cardiovascular Risk From Non-contrast Cardiac CT

RetainVis: Visual Analytics with Interpretable and Interactive Recurrent Neural Networks on Electronic Medical Records

DeepSOFA: A Continuous Acuity Score for Critically Ill Patients using Clinically Interpretable Deep Learning

Three dimensional Deep Learning approach for remote sensing image classification

Exploring the Encoding Layer and Loss Function in End-to-End Speaker and Language Recognition System

DeepTriage: Exploring the Effectiveness of Deep Learning for Bug Triaging

On the Robustness of the CVPR 2018 White-Box Adversarial Example Defenses

Generalized Zero-Shot Learning via Synthesized Examples

Relational recurrent neural networks

Graph Convolutional Neural Networks for Web-Scale Recommender Systems

One Residual with Three Reuses: A Wristband Front End for Gesture Sensing