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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9,181 to 9,240 of 9,646

Voice Conversion from Non-parallel Corpora Using Variational Auto-encoder
Chin-Cheng Hsu, Hsin-Te Hwang, Yi-Chiao Wu +2
stat.MLcs.LGcs.SDarXiv:1610.04019v12016
Semi-Supervised Learning with Generative Adversarial Networks
Augustus Odena
stat.MLcs.LGarXiv:1606.01583v22016
Autoencoding beyond pixels using a learned similarity metric
Anders Boesen Lindbo Larsen, Søren Kaae Sønderby, Hugo Larochelle +1
cs.LGcs.CVstat.MLarXiv:1512.09300v22015
CNN Architectures for Large-Scale Audio Classification
Shawn Hershey, Sourish Chaudhuri, Daniel P. W. Ellis +10
cs.SDcs.LGstat.MLarXiv:1609.09430v22016
PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications
Tim Salimans, Andrej Karpathy, Xi Chen +1
cs.LGstat.MLarXiv:1701.05517v12017
Can AutoML outperform humans? An evaluation on popular OpenML datasets using AutoML Benchmark
Marc Hanussek, Matthias Blohm, Maximilien Kintz
cs.LGstat.MLarXiv:2009.01564v22020
Multi-task Sequence to Sequence Learning
Minh-Thang Luong, Quoc V. Le, Ilya Sutskever +2
cs.LGcs.CLstat.MLarXiv:1511.06114v42015
Handling Missing Data with Graph Representation Learning
Jiaxuan You, Xiaobai Ma, Daisy Yi Ding +2
cs.LGcs.SIstat.MLarXiv:2010.16418v12020
Dynamic Backdoor Attacks Against Machine Learning Models
Ahmed Salem, Rui Wen, Michael Backes +2
cs.CRcs.LGstat.MLarXiv:2003.03675v22020
TopicRNN: A Recurrent Neural Network with Long-Range Semantic Dependency
Adji B. Dieng, Chong Wang, Jianfeng Gao +1
cs.CLcs.AIcs.LGarXiv:1611.01702v22016
Professor Forcing: A New Algorithm for Training Recurrent Networks
Alex Lamb, Anirudh Goyal, Ying Zhang +3
stat.MLcs.LGarXiv:1610.09038v12016
Self-supervised Learning for Large-scale Item Recommendations
Tiansheng Yao, Xinyang Yi, Derek Zhiyuan Cheng +8
cs.LGcs.IRstat.MLarXiv:2007.12865v42020
A guide to convolution arithmetic for deep learning
Vincent Dumoulin, Francesco Visin
stat.MLcs.LGcs.NEarXiv:1603.07285v22016
Beyond Temporal Pooling: Recurrence and Temporal Convolutions for Gesture Recognition in Video
Lionel Pigou, Aäron van den Oord, Sander Dieleman +2
cs.CVcs.AIcs.LGarXiv:1506.01911v32015
Resnet in Resnet: Generalizing Residual Architectures
Sasha Targ, Diogo Almeida, Kevin Lyman
cs.LGcs.CVcs.NEarXiv:1603.08029v12016
A Unified Deep Neural Network for Speaker and Language Recognition
Fred Richardson, Douglas Reynolds, Najim Dehak
cs.CLcs.CVcs.LGarXiv:1504.00923v12015
Leveraging Big Data Analytics in Healthcare Enhancement: Trends, Challenges and Opportunities
Arshia Rehman, Saeeda Naz, Imran Razzak
stat.OTcs.LGstat.MLarXiv:2004.09010v12020
Acceleration of Deep Neural Network Training with Resistive Cross-Point Devices
Tayfun Gokmen, Yurii Vlasov
cs.LGcs.NEstat.MLarXiv:1603.07341v12016
Structured Pruning of Deep Convolutional Neural Networks
Sajid Anwar, Kyuyeon Hwang, Wonyong Sung
cs.NEcs.LGstat.MLarXiv:1512.08571v12015
D4RL: Datasets for Deep Data-Driven Reinforcement Learning
Justin Fu, Aviral Kumar, Ofir Nachum +2
cs.LGstat.MLarXiv:2004.07219v42020
A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation
Nikolaus Mayer, Eddy Ilg, Philip Häusser +4
cs.CVcs.LGstat.MLarXiv:1512.02134v12015
Analyzing the Structure of Attention in a Transformer Language Model
Jesse Vig, Yonatan Belinkov
cs.CLcs.LGstat.MLarXiv:1906.04284v22019
On Accurate and Reliable Anomaly Detection for Gas Turbine Combustors: A Deep Learning Approach
Weizhong Yan, Lijie Yu
cs.LGstat.MLarXiv:1908.09238v12019
FAHT: An Adaptive Fairness-aware Decision Tree Classifier
Wenbin Zhang, Eirini Ntoutsi
cs.LGcs.AIstat.MLarXiv:1907.07237v12019
Demixed principal component analysis of population activity in higher cortical areas reveals independent representation of task parameters
Dmitry Kobak, Wieland Brendel, Christos Constantinidis +7
q-bio.NCstat.MLarXiv:1410.6031v12014
Listen, Attend and Spell
William Chan, Navdeep Jaitly, Quoc V. Le +1
cs.CLcs.LGcs.NEarXiv:1508.01211v22015
GANSynth: Adversarial Neural Audio Synthesis
Jesse Engel, Kumar Krishna Agrawal, Shuo Chen +3
cs.SDcs.LGeess.ASarXiv:1902.08710v22019
Towards Interpretable Reinforcement Learning Using Attention Augmented Agents
Alex Mott, Daniel Zoran, Mike Chrzanowski +2
cs.LGstat.MLarXiv:1906.02500v12019
Learning to Learn without Forgetting by Maximizing Transfer and Minimizing Interference
Matthew Riemer, Ignacio Cases, Robert Ajemian +4
cs.LGcs.AIstat.MLarXiv:1810.11910v32018
Adding Gradient Noise Improves Learning for Very Deep Networks
Arvind Neelakantan, Luke Vilnis, Quoc V. Le +4
stat.MLcs.LGarXiv:1511.06807v12015
Illuminating Generalization in Deep Reinforcement Learning through Procedural Level Generation
Niels Justesen, Ruben Rodriguez Torrado, Philip Bontrager +3
cs.LGcs.AIstat.MLarXiv:1806.10729v52018
Rotation-invariant convolutional neural networks for galaxy morphology prediction
Sander Dieleman, Kyle W. Willett, Joni Dambre
astro-ph.IMastro-ph.GAcs.CVarXiv:1503.07077v12015
Non-convex Optimization for Machine Learning
Prateek Jain, Purushottam Kar
stat.MLcs.LGmath.OCarXiv:1712.07897v12017
Can we steal your vocal identity from the Internet?: Initial investigation of cloning Obama's voice using GAN, WaveNet and low-quality found data
Jaime Lorenzo-Trueba, Fuming Fang, Xin Wang +3
eess.AScs.CLcs.SDarXiv:1803.00860v12018
Generating Artificial Data for Private Deep Learning
Aleksei Triastcyn, Boi Faltings
cs.LGcs.CRstat.MLarXiv:1803.03148v32018
Stacked What-Where Auto-encoders
Junbo Zhao, Michael Mathieu, Ross Goroshin +1
stat.MLcs.LGcs.NEarXiv:1506.02351v82015
MLlib: Machine Learning in Apache Spark
Xiangrui Meng, Joseph Bradley, Burak Yavuz +13
cs.LGcs.DCcs.MSarXiv:1505.06807v12015
Spatio-Temporal Backpropagation for Training High-performance Spiking Neural Networks
Yujie Wu, Lei Deng, Guoqi Li +2
cs.NEq-bio.NCstat.MLarXiv:1706.02609v32017
Generalized Product of Experts for Automatic and Principled Fusion of Gaussian Process Predictions
Yanshuai Cao, David J. Fleet
cs.LGcs.AIstat.MLarXiv:1410.7827v22014
Long Short-Term Memory Based Recurrent Neural Network Architectures for Large Vocabulary Speech Recognition
Haşim Sak, Andrew Senior, Françoise Beaufays
cs.NEcs.CLcs.LGarXiv:1402.1128v12014
Deep Fried Convnets
Zichao Yang, Marcin Moczulski, Misha Denil +4
cs.LGcs.NEstat.MLarXiv:1412.7149v42014
Semi-Supervised Learning with Deep Generative Models
Diederik P. Kingma, Danilo J. Rezende, Shakir Mohamed +1
cs.LGstat.MLarXiv:1406.5298v22014
Deep metric learning using Triplet network
Elad Hoffer, Nir Ailon
cs.LGcs.CVstat.MLarXiv:1412.6622v42014
Research Priorities for Robust and Beneficial Artificial Intelligence
Stuart Russell, Daniel Dewey, Max Tegmark
cs.AIstat.MLarXiv:1602.03506v12016
Qualitatively characterizing neural network optimization problems
Ian J. Goodfellow, Oriol Vinyals, Andrew M. Saxe
cs.NEcs.LGstat.MLarXiv:1412.6544v62014
Engaging with Massive Online Courses
Ashton Anderson, Daniel Huttenlocher, Jon Kleinberg +1
cs.SIphysics.soc-phstat.MLarXiv:1403.3100v22014
Input Warping for Bayesian Optimization of Non-stationary Functions
Jasper Snoek, Kevin Swersky, Richard S. Zemel +1
stat.MLcs.LGarXiv:1402.0929v32014
A Deep and Tractable Density Estimator
Benigno Uria, Iain Murray, Hugo Larochelle
stat.MLcs.LGarXiv:1310.1757v22013
Minerva and minepy: a C engine for the MINE suite and its R, Python and MATLAB wrappers
Davide Albanese, Michele Filosi, Roberto Visintainer +3
stat.MLq-bio.QMarXiv:1208.4271v22012
Manopt, a Matlab toolbox for optimization on manifolds
Nicolas Boumal, Bamdev Mishra, P. -A. Absil +1
cs.MScs.LGmath.OCarXiv:1308.5200v12013
Predicting Parameters in Deep Learning
Misha Denil, Babak Shakibi, Laurent Dinh +2
cs.LGcs.NEstat.MLarXiv:1306.0543v22013
The Directed Closure Process in Hybrid Social-Information Networks, with an Analysis of Link Formation on Twitter
Daniel M. Romero, Jon Kleinberg
stat.MLcs.CYphysics.soc-pharXiv:1003.2469v12010
Sequence Transduction with Recurrent Neural Networks
Alex Graves
cs.NEcs.LGstat.MLarXiv:1211.3711v12012
High-Dimensional Feature Selection by Feature-Wise Kernelized Lasso
Makoto Yamada, Wittawat Jitkrittum, Leonid Sigal +2
stat.MLcs.AIstat.MEarXiv:1202.0515v42012
Multilingual Topic Models for Unaligned Text
Jordan Boyd-Graber, David Blei
cs.CLcs.IRcs.LGarXiv:1205.2657v12012
A bagging SVM to learn from positive and unlabeled examples
Fantine Mordelet, Jean-Philippe Vert
stat.MLarXiv:1010.0772v12010
Bayesian Online Changepoint Detection
Ryan Prescott Adams, David J. C. MacKay
stat.MLarXiv:0710.3742v12007
Folded Recurrent Neural Networks for Future Video Prediction
Marc Oliu, Javier Selva, Sergio Escalera
cs.CVstat.MLarXiv:1712.00311v22017
FRAGE: Frequency-Agnostic Word Representation
Chengyue Gong, Di He, Xu Tan +3
cs.CLcs.LGstat.MLarXiv:1809.06858v22018
CausalML: Python Package for Causal Machine Learning
Huigang Chen, Totte Harinen, Jeong-Yoon Lee +2
cs.CYcs.LGstat.COarXiv:2002.11631v22020

Machine Learning (stat)

Voice Conversion from Non-parallel Corpora Using Variational Auto-encoder

Semi-Supervised Learning with Generative Adversarial Networks

Autoencoding beyond pixels using a learned similarity metric

CNN Architectures for Large-Scale Audio Classification

PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications

Can AutoML outperform humans? An evaluation on popular OpenML datasets using AutoML Benchmark

Multi-task Sequence to Sequence Learning

Handling Missing Data with Graph Representation Learning

Dynamic Backdoor Attacks Against Machine Learning Models

TopicRNN: A Recurrent Neural Network with Long-Range Semantic Dependency

Professor Forcing: A New Algorithm for Training Recurrent Networks

Self-supervised Learning for Large-scale Item Recommendations

A guide to convolution arithmetic for deep learning

Beyond Temporal Pooling: Recurrence and Temporal Convolutions for Gesture Recognition in Video

Resnet in Resnet: Generalizing Residual Architectures

A Unified Deep Neural Network for Speaker and Language Recognition

Leveraging Big Data Analytics in Healthcare Enhancement: Trends, Challenges and Opportunities

Acceleration of Deep Neural Network Training with Resistive Cross-Point Devices

Structured Pruning of Deep Convolutional Neural Networks

D4RL: Datasets for Deep Data-Driven Reinforcement Learning

A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation

Analyzing the Structure of Attention in a Transformer Language Model

On Accurate and Reliable Anomaly Detection for Gas Turbine Combustors: A Deep Learning Approach

FAHT: An Adaptive Fairness-aware Decision Tree Classifier

Demixed principal component analysis of population activity in higher cortical areas reveals independent representation of task parameters

Listen, Attend and Spell

GANSynth: Adversarial Neural Audio Synthesis

Towards Interpretable Reinforcement Learning Using Attention Augmented Agents

Learning to Learn without Forgetting by Maximizing Transfer and Minimizing Interference

Adding Gradient Noise Improves Learning for Very Deep Networks

Illuminating Generalization in Deep Reinforcement Learning through Procedural Level Generation

Rotation-invariant convolutional neural networks for galaxy morphology prediction

Non-convex Optimization for Machine Learning

Can we steal your vocal identity from the Internet?: Initial investigation of cloning Obama's voice using GAN, WaveNet and low-quality found data

Generating Artificial Data for Private Deep Learning

Stacked What-Where Auto-encoders

MLlib: Machine Learning in Apache Spark

Spatio-Temporal Backpropagation for Training High-performance Spiking Neural Networks

Generalized Product of Experts for Automatic and Principled Fusion of Gaussian Process Predictions

Long Short-Term Memory Based Recurrent Neural Network Architectures for Large Vocabulary Speech Recognition

Deep Fried Convnets

Semi-Supervised Learning with Deep Generative Models

Deep metric learning using Triplet network

Research Priorities for Robust and Beneficial Artificial Intelligence

Qualitatively characterizing neural network optimization problems

Engaging with Massive Online Courses

Input Warping for Bayesian Optimization of Non-stationary Functions

A Deep and Tractable Density Estimator

Minerva and minepy: a C engine for the MINE suite and its R, Python and MATLAB wrappers

Manopt, a Matlab toolbox for optimization on manifolds

Predicting Parameters in Deep Learning

The Directed Closure Process in Hybrid Social-Information Networks, with an Analysis of Link Formation on Twitter

Sequence Transduction with Recurrent Neural Networks

High-Dimensional Feature Selection by Feature-Wise Kernelized Lasso

Multilingual Topic Models for Unaligned Text

A bagging SVM to learn from positive and unlabeled examples

Bayesian Online Changepoint Detection

Folded Recurrent Neural Networks for Future Video Prediction

FRAGE: Frequency-Agnostic Word Representation

CausalML: Python Package for Causal Machine Learning