Machine Learning (stat)

Papers filed under stat.ML 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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9,241 to 9,300 of 9,639

On Human Predictions with Explanations and Predictions of Machine Learning Models: A Case Study on Deception Detection
Vivian Lai, Chenhao Tan
cs.AIcs.CLcs.CYarXiv:1811.07901v42018
DarkneTZ: Towards Model Privacy at the Edge using Trusted Execution Environments
Fan Mo, Ali Shahin Shamsabadi, Kleomenis Katevas +4
cs.LGcs.CRstat.MLarXiv:2004.05703v12020
Metric Learning for Adversarial Robustness
Chengzhi Mao, Ziyuan Zhong, Junfeng Yang +2
cs.LGcs.CRcs.CVarXiv:1909.00900v22019
ToyADMOS: A Dataset of Miniature-Machine Operating Sounds for Anomalous Sound Detection
Yuma Koizumi, Shoichiro Saito, Hisashi Uematsu +2
eess.AScs.LGcs.SDarXiv:1908.03299v12019
ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness
Robert Geirhos, Patricia Rubisch, Claudio Michaelis +3
cs.CVcs.AIcs.LGarXiv:1811.12231v32018
Towards Deep Learning Models Resistant to Adversarial Attacks
Aleksander Madry, Aleksandar Makelov, Ludwig Schmidt +2
stat.MLcs.LGcs.NEarXiv:1706.06083v42017
Active learning machine learns to create new quantum experiments
Alexey A. Melnikov, Hendrik Poulsen Nautrup, Mario Krenn +4
quant-phcs.AIstat.MLarXiv:1706.00868v32017
An Evaluation of Change Point Detection Algorithms
Gerrit J. J. van den Burg, Christopher K. I. Williams
stat.MLcs.LGstat.MEarXiv:2003.06222v32020
Ubenwa: Cry-based Diagnosis of Birth Asphyxia
Charles C Onu, Innocent Udeogu, Eyenimi Ndiomu +5
stat.MLcs.CYarXiv:1711.06405v12017
Deep Fault Analysis and Subset Selection in Solar Power Grids
Biswarup Bhattacharya, Abhishek Sinha
cs.LGcs.AIcs.CEarXiv:1711.02810v12017
Exploratory Gradient Boosting for Reinforcement Learning in Complex Domains
David Abel, Alekh Agarwal, Fernando Diaz +2
cs.AIcs.LGstat.MLarXiv:1603.04119v12016
Second Order PAC-Bayesian Bounds for the Weighted Majority Vote
Andrés R. Masegosa, Stephan S. Lorenzen, Christian Igel +1
cs.LGstat.MLarXiv:2007.13532v22020
$\Delta$-UQ: Accurate Uncertainty Quantification via Anchor Marginalization
Rushil Anirudh, Jayaraman J. Thiagarajan
cs.LGcs.CVstat.MLarXiv:2110.02197v12021
GraphNAS: Graph Neural Architecture Search with Reinforcement Learning
Yang Gao, Hong Yang, Peng Zhang +2
cs.LGcs.AIstat.MLarXiv:1904.09981v22019
ORRB -- OpenAI Remote Rendering Backend
Maciek Chociej, Peter Welinder, Lilian Weng
cs.GRcs.LGstat.MLarXiv:1906.11633v12019
Efficient Robust Training via Backward Smoothing
Jinghui Chen, Yu Cheng, Zhe Gan +2
cs.LGcs.AIstat.MLarXiv:2010.01278v22020
Solving Bongard Problems with a Visual Language and Pragmatic Reasoning
Stefan Depeweg, Constantin A. Rothkopf, Frank Jäkel
stat.MLcs.AIcs.LGarXiv:1804.04452v12018
Aligning where to see and what to tell: image caption with region-based attention and scene factorization
Junqi Jin, Kun Fu, Runpeng Cui +2
cs.CVcs.LGstat.MLarXiv:1506.06272v12015
Estimating Accuracy from Unlabeled Data: A Probabilistic Logic Approach
Emmanouil A. Platanios, Hoifung Poon, Tom M. Mitchell +1
cs.LGcs.AIstat.MLarXiv:1705.07086v12017
OpenML Benchmarking Suites and the OpenML100
Bernd Bischl, Giuseppe Casalicchio, Matthias Feurer +5
stat.MLcs.LGarXiv:1708.03731v12017
Optimizing Multi-GPU Parallelization Strategies for Deep Learning Training
Saptadeep Pal, Eiman Ebrahimi, Arslan Zulfiqar +5
cs.LGcs.AIcs.DCarXiv:1907.13257v12019
RL Unplugged: A Suite of Benchmarks for Offline Reinforcement Learning
Caglar Gulcehre, Ziyu Wang, Alexander Novikov +15
cs.LGstat.MLarXiv:2006.13888v42020
TAPAS: Train-less Accuracy Predictor for Architecture Search
R. Istrate, F. Scheidegger, G. Mariani +3
cs.LGstat.MLarXiv:1806.00250v12018
Revisiting Distillation and Incremental Classifier Learning
Khurram Javed, Faisal Shafait
cs.LGcs.CVstat.MLarXiv:1807.02802v22018
Privacy Analysis of Deep Learning in the Wild: Membership Inference Attacks against Transfer Learning
Yang Zou, Zhikun Zhang, Michael Backes +1
cs.CRcs.LGstat.MLarXiv:2009.04872v12020
Expansion-Squeeze-Excitation Fusion Network for Elderly Activity Recognition
Xiangbo Shu, Jiawen Yang, Rui Yan +1
cs.CVstat.MLarXiv:2112.10992v22021
Tight Differential Privacy for Discrete-Valued Mechanisms and for the Subsampled Gaussian Mechanism Using FFT
Antti Koskela, Joonas Jälkö, Lukas Prediger +1
stat.MLcs.CRcs.LGarXiv:2006.07134v32020
Beyond neural scaling laws: beating power law scaling via data pruning
Ben Sorscher, Robert Geirhos, Shashank Shekhar +2
cs.LGcs.AIcs.CVarXiv:2206.14486v62022
Deep Convolutional Neural Networks for Interpretable Analysis of EEG Sleep Stage Scoring
Albert Vilamala, Kristoffer H. Madsen, Lars K. Hansen
cs.CVstat.MLarXiv:1710.00633v12017
Transfer Learning for Named-Entity Recognition with Neural Networks
Ji Young Lee, Franck Dernoncourt, Peter Szolovits
cs.CLcs.AIcs.NEarXiv:1705.06273v12017
Simplifying Graph Convolutional Networks
Felix Wu, Tianyi Zhang, Amauri Holanda de Souza +3
cs.LGstat.MLarXiv:1902.07153v22019
CERN: Confidence-Energy Recurrent Network for Group Activity Recognition
Tianmin Shu, Sinisa Todorovic, Song-Chun Zhu
cs.CVcs.LGstat.MLarXiv:1704.03058v12017
SaliencyMix: A Saliency Guided Data Augmentation Strategy for Better Regularization
A. F. M. Shahab Uddin, Mst. Sirazam Monira, Wheemyung Shin +2
cs.LGstat.MLarXiv:2006.01791v22020
Twitter Sentiment Analysis: Lexicon Method, Machine Learning Method and Their Combination
Olga Kolchyna, Tharsis T. P. Souza, Philip Treleaven +1
cs.CLcs.IRcs.LGarXiv:1507.00955v32015
Are Disentangled Representations Helpful for Abstract Visual Reasoning?
Sjoerd van Steenkiste, Francesco Locatello, Jürgen Schmidhuber +1
cs.LGcs.CVcs.NEarXiv:1905.12506v32019
GANs for Medical Image Analysis
Salome Kazeminia, Christoph Baur, Arjan Kuijper +4
cs.CVcs.LGstat.MLarXiv:1809.06222v32018
Correlational Neural Networks
Sarath Chandar, Mitesh M. Khapra, Hugo Larochelle +1
cs.CLcs.LGcs.NEarXiv:1504.07225v32015
DeepHeart: Semi-Supervised Sequence Learning for Cardiovascular Risk Prediction
Brandon Ballinger, Johnson Hsieh, Avesh Singh +8
cs.LGcs.AIstat.MLarXiv:1802.02511v12018
Bayesian GAN
Yunus Saatchi, Andrew Gordon Wilson
stat.MLcs.AIcs.CVarXiv:1705.09558v32017
Improving the Accuracy of Global Forecasting Models using Time Series Data Augmentation
Kasun Bandara, Hansika Hewamalage, Yuan-Hao Liu +2
cs.LGcs.AIstat.MLarXiv:2008.02663v12020
Contextual Parameter Generation for Universal Neural Machine Translation
Emmanouil Antonios Platanios, Mrinmaya Sachan, Graham Neubig +1
cs.CLcs.LGstat.MLarXiv:1808.08493v12018
Denoising Diffusion Samplers
Francisco Vargas, Will Grathwohl, Arnaud Doucet
cs.LGstat.MLarXiv:2302.13834v22023
Bayesian Optimization with Machine Learning Algorithms Towards Anomaly Detection
MohammadNoor Injadat, Fadi Salo, Ali Bou Nassif +2
cs.LGcs.NIstat.MLarXiv:2008.02327v12020
ECG Arrhythmia Classification Using Transfer Learning from 2-Dimensional Deep CNN Features
Milad Salem, Shayan Taheri, Jiann Shiun-Yuan
cs.LGcs.CVstat.MLarXiv:1812.04693v12018
Time Series Anomaly Detection Using Convolutional Neural Networks and Transfer Learning
Tailai Wen, Roy Keyes
cs.LGcs.CVstat.MLarXiv:1905.13628v12019
Sparse-RS: a versatile framework for query-efficient sparse black-box adversarial attacks
Francesco Croce, Maksym Andriushchenko, Naman D. Singh +2
cs.LGcs.CRcs.CVarXiv:2006.12834v32020
A Multi-Objective Deep Reinforcement Learning Framework
Thanh Thi Nguyen, Ngoc Duy Nguyen, Peter Vamplew +3
cs.LGcs.AIstat.MLarXiv:1803.02965v32018
Privacy in Deep Learning: A Survey
Fatemehsadat Mireshghallah, Mohammadkazem Taram, Praneeth Vepakomma +3
cs.LGcs.CRstat.MLarXiv:2004.12254v52020
Generating SOAP Notes from Doctor-Patient Conversations Using Modular Summarization Techniques
Kundan Krishna, Sopan Khosla, Jeffrey P. Bigham +1
cs.CLcs.AIcs.LGarXiv:2005.01795v32020
Building competitive direct acoustics-to-word models for English conversational speech recognition
Kartik Audhkhasi, Brian Kingsbury, Bhuvana Ramabhadran +2
cs.CLcs.AIcs.NEarXiv:1712.03133v12017
Machine learning for protein folding and dynamics
Frank Noé, Gianni De Fabritiis, Cecilia Clementi
physics.bio-phphysics.chem-phq-bio.BMarXiv:1911.09811v12019
Reinforcement Learning for Improving Agent Design
David Ha
cs.LGstat.MLarXiv:1810.03779v32018
Generalization in Generation: A closer look at Exposure Bias
Florian Schmidt
cs.LGcs.CLstat.MLarXiv:1910.00292v22019
2D Car Detection in Radar Data with PointNets
Andreas Danzer, Thomas Griebel, Martin Bach +1
cs.CVcs.LGstat.MLarXiv:1904.08414v32019
Adversarial Training for Tabular Credit Scoring: A Multi-Attack Robustness Evaluation in P2P Lending
Gijs A. F. Niewzwaag, Marijn G. S. Veth, Manuele Massei +1
cs.LGq-fin.RMstat.MLarXiv:2609.09945v12026
Adaptive Reward-Poisoning Attacks against Reinforcement Learning
Xuezhou Zhang, Yuzhe Ma, Adish Singla +1
cs.LGcs.AIcs.CRarXiv:2003.12613v22020
Best Practices for Scientific Research on Neural Architecture Search
Marius Lindauer, Frank Hutter
cs.LGstat.MLarXiv:1909.02453v32019
Deep Learning on Small Datasets without Pre-Training using Cosine Loss
Björn Barz, Joachim Denzler
cs.LGcs.CVstat.MLarXiv:1901.09054v22019
Diagnostic Classification Of Lung Nodules Using 3D Neural Networks
Raunak Dey, Zhongjie Lu, Yi Hong
cs.CVcs.LGstat.MLarXiv:1803.07192v12018
A Survey of Deep Learning for Scientific Discovery
Maithra Raghu, Eric Schmidt
cs.LGstat.MLarXiv:2003.11755v12020

Machine Learning (stat)

On Human Predictions with Explanations and Predictions of Machine Learning Models: A Case Study on Deception Detection

DarkneTZ: Towards Model Privacy at the Edge using Trusted Execution Environments

Metric Learning for Adversarial Robustness

ToyADMOS: A Dataset of Miniature-Machine Operating Sounds for Anomalous Sound Detection

ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness

Towards Deep Learning Models Resistant to Adversarial Attacks

Active learning machine learns to create new quantum experiments

An Evaluation of Change Point Detection Algorithms

Ubenwa: Cry-based Diagnosis of Birth Asphyxia

Deep Fault Analysis and Subset Selection in Solar Power Grids

Exploratory Gradient Boosting for Reinforcement Learning in Complex Domains

Second Order PAC-Bayesian Bounds for the Weighted Majority Vote

$\Delta$-UQ: Accurate Uncertainty Quantification via Anchor Marginalization

GraphNAS: Graph Neural Architecture Search with Reinforcement Learning

ORRB -- OpenAI Remote Rendering Backend

Efficient Robust Training via Backward Smoothing

Solving Bongard Problems with a Visual Language and Pragmatic Reasoning

Aligning where to see and what to tell: image caption with region-based attention and scene factorization

Estimating Accuracy from Unlabeled Data: A Probabilistic Logic Approach

OpenML Benchmarking Suites and the OpenML100

Optimizing Multi-GPU Parallelization Strategies for Deep Learning Training

RL Unplugged: A Suite of Benchmarks for Offline Reinforcement Learning

TAPAS: Train-less Accuracy Predictor for Architecture Search

Revisiting Distillation and Incremental Classifier Learning

Privacy Analysis of Deep Learning in the Wild: Membership Inference Attacks against Transfer Learning

Expansion-Squeeze-Excitation Fusion Network for Elderly Activity Recognition

Tight Differential Privacy for Discrete-Valued Mechanisms and for the Subsampled Gaussian Mechanism Using FFT

Beyond neural scaling laws: beating power law scaling via data pruning

Deep Convolutional Neural Networks for Interpretable Analysis of EEG Sleep Stage Scoring

Transfer Learning for Named-Entity Recognition with Neural Networks

Simplifying Graph Convolutional Networks

CERN: Confidence-Energy Recurrent Network for Group Activity Recognition

SaliencyMix: A Saliency Guided Data Augmentation Strategy for Better Regularization

Twitter Sentiment Analysis: Lexicon Method, Machine Learning Method and Their Combination

Are Disentangled Representations Helpful for Abstract Visual Reasoning?

GANs for Medical Image Analysis

Correlational Neural Networks

DeepHeart: Semi-Supervised Sequence Learning for Cardiovascular Risk Prediction

Bayesian GAN

Improving the Accuracy of Global Forecasting Models using Time Series Data Augmentation

Contextual Parameter Generation for Universal Neural Machine Translation

Denoising Diffusion Samplers

Bayesian Optimization with Machine Learning Algorithms Towards Anomaly Detection

ECG Arrhythmia Classification Using Transfer Learning from 2-Dimensional Deep CNN Features

Time Series Anomaly Detection Using Convolutional Neural Networks and Transfer Learning

Sparse-RS: a versatile framework for query-efficient sparse black-box adversarial attacks

A Multi-Objective Deep Reinforcement Learning Framework

Privacy in Deep Learning: A Survey

Generating SOAP Notes from Doctor-Patient Conversations Using Modular Summarization Techniques

Building competitive direct acoustics-to-word models for English conversational speech recognition

Machine learning for protein folding and dynamics

Reinforcement Learning for Improving Agent Design

Generalization in Generation: A closer look at Exposure Bias

2D Car Detection in Radar Data with PointNets

Adversarial Training for Tabular Credit Scoring: A Multi-Attack Robustness Evaluation in P2P Lending

Adaptive Reward-Poisoning Attacks against Reinforcement Learning

Best Practices for Scientific Research on Neural Architecture Search

Deep Learning on Small Datasets without Pre-Training using Cosine Loss

Diagnostic Classification Of Lung Nodules Using 3D Neural Networks

A Survey of Deep Learning for Scientific Discovery