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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9,061 to 9,120 of 9,685

Graph WaveNet for Deep Spatial-Temporal Graph Modeling
Zonghan Wu, Shirui Pan, Guodong Long +2
cs.LGstat.MLarXiv:1906.00121v12019
GraphNVP: An Invertible Flow Model for Generating Molecular Graphs
Kaushalya Madhawa, Katushiko Ishiguro, Kosuke Nakago +1
stat.MLcs.AIcs.LGarXiv:1905.11600v12019
On Mixup Training: Improved Calibration and Predictive Uncertainty for Deep Neural Networks
Sunil Thulasidasan, Gopinath Chennupati, Jeff Bilmes +2
stat.MLcs.LGarXiv:1905.11001v52019
Survey on Deep Neural Networks in Speech and Vision Systems
Mahbubul Alam, Manar D. Samad, Lasitha Vidyaratne +2
cs.CVcs.LGcs.NEarXiv:1908.07656v22019
Using Natural Language for Reward Shaping in Reinforcement Learning
Prasoon Goyal, Scott Niekum, Raymond J. Mooney
cs.LGcs.AIstat.MLarXiv:1903.02020v22019
Extrapolating Beyond Suboptimal Demonstrations via Inverse Reinforcement Learning from Observations
Daniel S. Brown, Wonjoon Goo, Prabhat Nagarajan +1
cs.LGstat.MLarXiv:1904.06387v52019
Topic Modeling in Embedding Spaces
Adji B. Dieng, Francisco J. R. Ruiz, David M. Blei
cs.IRcs.CLcs.LGarXiv:1907.04907v12019
Capsule Network Performance on Complex Data
Edgar Xi, Selina Bing, Yang Jin
stat.MLcs.LGarXiv:1712.03480v12017
NAS-Bench-101: Towards Reproducible Neural Architecture Search
Chris Ying, Aaron Klein, Esteban Real +3
cs.LGstat.MLarXiv:1902.09635v22019
Deconstructing Lottery Tickets: Zeros, Signs, and the Supermask
Hattie Zhou, Janice Lan, Rosanne Liu +1
cs.LGcs.CVstat.MLarXiv:1905.01067v42019
Benchmarking TPU, GPU, and CPU Platforms for Deep Learning
Yu Emma Wang, Gu-Yeon Wei, David Brooks
cs.LGcs.PFstat.MLarXiv:1907.10701v42019
Astraea: Self-balancing Federated Learning for Improving Classification Accuracy of Mobile Deep Learning Applications
Moming Duan, Duo Liu, Xianzhang Chen +4
cs.LGcs.DCstat.MLarXiv:1907.01132v22019
SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition
Daniel S. Park, William Chan, Yu Zhang +4
eess.AScs.CLcs.LGarXiv:1904.08779v32019
Robust Anomaly Detection in Images using Adversarial Autoencoders
Laura Beggel, Michael Pfeiffer, Bernd Bischl
cs.LGcs.CVstat.MLarXiv:1901.06355v12019
SPoC: Search-based Pseudocode to Code
Sumith Kulal, Panupong Pasupat, Kartik Chandra +4
cs.LGcs.CLcs.PLarXiv:1906.04908v12019
Time-Series Anomaly Detection Service at Microsoft
Hansheng Ren, Bixiong Xu, Yujing Wang +7
cs.LGstat.MLarXiv:1906.03821v12019
A Review of Deep Learning with Special Emphasis on Architectures, Applications and Recent Trends
Saptarshi Sengupta, Sanchita Basak, Pallabi Saikia +5
cs.LGstat.MLarXiv:1905.13294v32019
Informed Machine Learning -- A Taxonomy and Survey of Integrating Knowledge into Learning Systems
Laura von Rueden, Sebastian Mayer, Katharina Beckh +11
stat.MLcs.AIcs.LGarXiv:1903.12394v32019
One ticket to win them all: generalizing lottery ticket initializations across datasets and optimizers
Ari S. Morcos, Haonan Yu, Michela Paganini +1
stat.MLcs.LGcs.NEarXiv:1906.02773v22019
Utilizing Deep Learning Towards Multi-modal Bio-sensing and Vision-based Affective Computing
Siddharth Siddharth, Tzyy-Ping Jung, Terrence J. Sejnowski
cs.LGcs.HCeess.SParXiv:1905.07039v12019
A Survey on Data Collection for Machine Learning: a Big Data -- AI Integration Perspective
Yuji Roh, Geon Heo, Steven Euijong Whang
cs.LGstat.MLarXiv:1811.03402v22018
The Ethics of AI Ethics -- An Evaluation of Guidelines
Thilo Hagendorff
cs.AIcs.CYcs.LGarXiv:1903.03425v22019
Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules
Daniel Ho, Eric Liang, Ion Stoica +2
cs.CVcs.LGstat.MLarXiv:1905.05393v12019
Adaptive Power System Emergency Control using Deep Reinforcement Learning
Qiuhua Huang, Renke Huang, Weituo Hao +3
cs.LGeess.SYstat.MLarXiv:1903.03712v22019
Machine learning modeling of superconducting critical temperature
Valentin Stanev, Corey Oses, A. Gilad Kusne +4
cond-mat.supr-concond-mat.str-elstat.MLarXiv:1709.02727v22017
Intrinsic dimension of data representations in deep neural networks
Alessio Ansuini, Alessandro Laio, Jakob H. Macke +1
cs.LGstat.MLarXiv:1905.12784v22019
How to train your MAML
Antreas Antoniou, Harrison Edwards, Amos Storkey
cs.LGstat.MLarXiv:1810.09502v32018
Few-shot classification in Named Entity Recognition Task
Alexander Fritzler, Varvara Logacheva, Maksim Kretov
cs.CLcs.LGstat.MLarXiv:1812.06158v12018
Adversarial camera stickers: A physical camera-based attack on deep learning systems
Juncheng Li, Frank R. Schmidt, J. Zico Kolter
cs.CVcs.CRcs.LGarXiv:1904.00759v42019
Automatic diagnosis of the 12-lead ECG using a deep neural network
Antônio H. Ribeiro, Manoel Horta Ribeiro, Gabriela M. M. Paixão +9
cs.LGeess.SPstat.MLarXiv:1904.01949v22019
InceptionGCN: Receptive Field Aware Graph Convolutional Network for Disease Prediction
Anees Kazi, Shayan shekarforoush, S. Arvind krishna +6
cs.LGstat.MLarXiv:1903.04233v12019
Extended Isolation Forest
Sahand Hariri, Matias Carrasco Kind, Robert J. Brunner
cs.LGastro-ph.IMstat.MLarXiv:1811.02141v32018
Exploration by Random Network Distillation
Yuri Burda, Harrison Edwards, Amos Storkey +1
cs.LGcs.AIstat.MLarXiv:1810.12894v12018
UNet++: A Nested U-Net Architecture for Medical Image Segmentation
Zongwei Zhou, Md Mahfuzur Rahman Siddiquee, Nima Tajbakhsh +1
cs.CVcs.LGeess.IVarXiv:1807.10165v12018
Motivating the Rules of the Game for Adversarial Example Research
Justin Gilmer, Ryan P. Adams, Ian Goodfellow +2
cs.LGstat.MLarXiv:1807.06732v22018
Parameter-Efficient Transfer Learning for NLP
Neil Houlsby, Andrei Giurgiu, Stanislaw Jastrzebski +5
cs.LGcs.CLstat.MLarXiv:1902.00751v22019
Diverse mini-batch Active Learning
Fedor Zhdanov
cs.LGstat.MLarXiv:1901.05954v12019
Training Neural Networks with Local Error Signals
Arild Nøkland, Lars Hiller Eidnes
stat.MLcs.CVcs.LGarXiv:1901.06656v22019
SpotTune: Transfer Learning through Adaptive Fine-tuning
Yunhui Guo, Honghui Shi, Abhishek Kumar +3
cs.CVcs.LGstat.MLarXiv:1811.08737v12018
Fast Graph Representation Learning with PyTorch Geometric
Matthias Fey, Jan Eric Lenssen
cs.LGstat.MLarXiv:1903.02428v32019
Learning to Drive in a Day
Alex Kendall, Jeffrey Hawke, David Janz +6
cs.LGcs.AIcs.ROarXiv:1807.00412v22018
Crop Yield Prediction Using Deep Neural Networks
Saeed Khaki, Lizhi Wang
cs.LGstat.APstat.MLarXiv:1902.02860v32019
ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
Han Cai, Ligeng Zhu, Song Han
cs.LGcs.CVstat.MLarXiv:1812.00332v22018
Task-Free Continual Learning
Rahaf Aljundi, Klaas Kelchtermans, Tinne Tuytelaars
cs.CVcs.AIcs.LGarXiv:1812.03596v32018
Deep Learning for Classical Japanese Literature
Tarin Clanuwat, Mikel Bober-Irizar, Asanobu Kitamoto +3
cs.CVcs.LGstat.MLarXiv:1812.01718v12018
Split learning for health: Distributed deep learning without sharing raw patient data
Praneeth Vepakomma, Otkrist Gupta, Tristan Swedish +1
cs.LGstat.MLarXiv:1812.00564v12018
Aff-Wild2: Extending the Aff-Wild Database for Affect Recognition
Dimitrios Kollias, Stefanos Zafeiriou
cs.CVcs.AIcs.LGarXiv:1811.07770v22018
Transfer learning for time series classification
Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber +2
cs.LGcs.AIstat.MLarXiv:1811.01533v12018
Automated Algorithm Selection: Survey and Perspectives
Pascal Kerschke, Holger H. Hoos, Frank Neumann +1
cs.LGcs.AIstat.MLarXiv:1811.11597v12018
VoiceFilter: Targeted Voice Separation by Speaker-Conditioned Spectrogram Masking
Quan Wang, Hannah Muckenhirn, Kevin Wilson +7
eess.AScs.LGeess.SParXiv:1810.04826v62018
The UEA multivariate time series classification archive, 2018
Anthony Bagnall, Hoang Anh Dau, Jason Lines +5
cs.LGstat.MLarXiv:1811.00075v12018
Learned Video Compression
Oren Rippel, Sanjay Nair, Carissa Lew +3
eess.IVcs.CVcs.LGarXiv:1811.06981v12018
Bias and Generalization in Deep Generative Models: An Empirical Study
Shengjia Zhao, Hongyu Ren, Arianna Yuan +3
cs.LGstat.MLarXiv:1811.03259v12018
Dynamical Isometry and a Mean Field Theory of CNNs: How to Train 10,000-Layer Vanilla Convolutional Neural Networks
Lechao Xiao, Yasaman Bahri, Jascha Sohl-Dickstein +2
stat.MLcs.LGarXiv:1806.05393v22018
MeshCNN: A Network with an Edge
Rana Hanocka, Amir Hertz, Noa Fish +3
cs.LGcs.CVcs.GRarXiv:1809.05910v22018
Techniques for Interpretable Machine Learning
Mengnan Du, Ninghao Liu, Xia Hu
cs.LGcs.AIstat.MLarXiv:1808.00033v32018
Sanity Checks for Saliency Maps
Julius Adebayo, Justin Gilmer, Michael Muelly +3
cs.CVcs.LGstat.MLarXiv:1810.03292v32018
Towards Accountable AI: Hybrid Human-Machine Analyses for Characterizing System Failure
Besmira Nushi, Ece Kamar, Eric Horvitz
cs.LGcs.AIcs.HCarXiv:1809.07424v12018
Recurrent World Models Facilitate Policy Evolution
David Ha, Jürgen Schmidhuber
cs.LGstat.MLarXiv:1809.01999v12018
WaveGlow: A Flow-based Generative Network for Speech Synthesis
Ryan Prenger, Rafael Valle, Bryan Catanzaro
cs.SDcs.AIcs.LGarXiv:1811.00002v12018

Machine Learning (stat)

Graph WaveNet for Deep Spatial-Temporal Graph Modeling

GraphNVP: An Invertible Flow Model for Generating Molecular Graphs

On Mixup Training: Improved Calibration and Predictive Uncertainty for Deep Neural Networks

Survey on Deep Neural Networks in Speech and Vision Systems

Using Natural Language for Reward Shaping in Reinforcement Learning

Extrapolating Beyond Suboptimal Demonstrations via Inverse Reinforcement Learning from Observations

Topic Modeling in Embedding Spaces

Capsule Network Performance on Complex Data

NAS-Bench-101: Towards Reproducible Neural Architecture Search

Deconstructing Lottery Tickets: Zeros, Signs, and the Supermask

Benchmarking TPU, GPU, and CPU Platforms for Deep Learning

Astraea: Self-balancing Federated Learning for Improving Classification Accuracy of Mobile Deep Learning Applications

SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition

Robust Anomaly Detection in Images using Adversarial Autoencoders

SPoC: Search-based Pseudocode to Code

Time-Series Anomaly Detection Service at Microsoft

A Review of Deep Learning with Special Emphasis on Architectures, Applications and Recent Trends

Informed Machine Learning -- A Taxonomy and Survey of Integrating Knowledge into Learning Systems

One ticket to win them all: generalizing lottery ticket initializations across datasets and optimizers

Utilizing Deep Learning Towards Multi-modal Bio-sensing and Vision-based Affective Computing

A Survey on Data Collection for Machine Learning: a Big Data -- AI Integration Perspective

The Ethics of AI Ethics -- An Evaluation of Guidelines

Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules

Adaptive Power System Emergency Control using Deep Reinforcement Learning

Machine learning modeling of superconducting critical temperature

Intrinsic dimension of data representations in deep neural networks

How to train your MAML

Few-shot classification in Named Entity Recognition Task

Adversarial camera stickers: A physical camera-based attack on deep learning systems

Automatic diagnosis of the 12-lead ECG using a deep neural network

InceptionGCN: Receptive Field Aware Graph Convolutional Network for Disease Prediction

Extended Isolation Forest

Exploration by Random Network Distillation

UNet++: A Nested U-Net Architecture for Medical Image Segmentation

Motivating the Rules of the Game for Adversarial Example Research

Parameter-Efficient Transfer Learning for NLP

Diverse mini-batch Active Learning

Training Neural Networks with Local Error Signals

SpotTune: Transfer Learning through Adaptive Fine-tuning

Fast Graph Representation Learning with PyTorch Geometric

Learning to Drive in a Day

Crop Yield Prediction Using Deep Neural Networks

ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware

Task-Free Continual Learning

Deep Learning for Classical Japanese Literature

Split learning for health: Distributed deep learning without sharing raw patient data

Aff-Wild2: Extending the Aff-Wild Database for Affect Recognition

Transfer learning for time series classification

Automated Algorithm Selection: Survey and Perspectives

VoiceFilter: Targeted Voice Separation by Speaker-Conditioned Spectrogram Masking

The UEA multivariate time series classification archive, 2018

Learned Video Compression

Bias and Generalization in Deep Generative Models: An Empirical Study

Dynamical Isometry and a Mean Field Theory of CNNs: How to Train 10,000-Layer Vanilla Convolutional Neural Networks

MeshCNN: A Network with an Edge

Techniques for Interpretable Machine Learning

Sanity Checks for Saliency Maps

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

Recurrent World Models Facilitate Policy Evolution

WaveGlow: A Flow-based Generative Network for Speech Synthesis