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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9,301 to 9,360 of 9,639

Bayesian Hypernetworks
David Krueger, Chin-Wei Huang, Riashat Islam +3
stat.MLcs.AIcs.LGarXiv:1710.04759v22017
GANVO: Unsupervised Deep Monocular Visual Odometry and Depth Estimation with Generative Adversarial Networks
Yasin Almalioglu, Muhamad Risqi U. Saputra, Pedro P. B. de Gusmao +2
cs.LGcs.CVstat.MLarXiv:1809.05786v32018
Improving Reconstruction Autoencoder Out-of-distribution Detection with Mahalanobis Distance
Taylor Denouden, Rick Salay, Krzysztof Czarnecki +3
cs.LGstat.MLarXiv:1812.02765v12018
Learning Search Space Partition for Black-box Optimization using Monte Carlo Tree Search
Linnan Wang, Rodrigo Fonseca, Yuandong Tian
cs.LGcs.AIcs.ROarXiv:2007.00708v22020
Segmentation of the Proximal Femur from MR Images using Deep Convolutional Neural Networks
Cem M. Deniz, Siyuan Xiang, Spencer Hallyburton +5
cs.CVcs.LGstat.MLarXiv:1704.06176v52017
NeuralPower: Predict and Deploy Energy-Efficient Convolutional Neural Networks
Ermao Cai, Da-Cheng Juan, Dimitrios Stamoulis +1
cs.LGcs.PFstat.MLarXiv:1710.05420v12017
Improving Chemical Autoencoder Latent Space and Molecular De novo Generation Diversity with Heteroencoders
Esben Jannik Bjerrum, Boris Sattarov
cs.LGstat.MLarXiv:1806.09300v22018
Distributed Hierarchical GPU Parameter Server for Massive Scale Deep Learning Ads Systems
Weijie Zhao, Deping Xie, Ronglai Jia +4
cs.DCcs.LGstat.MLarXiv:2003.05622v12020
Transformer-based World Models Are Happy With 100k Interactions
Jan Robine, Marc Höftmann, Tobias Uelwer +1
cs.LGcs.AIstat.MLarXiv:2303.07109v12023
One-Pass Incomplete Multi-view Clustering
Menglei Hu, Songcan Chen
cs.LGstat.MLarXiv:1903.00637v12019
Can we trust deep learning models diagnosis? The impact of domain shift in chest radiograph classification
Eduardo H. P. Pooch, Pedro L. Ballester, Rodrigo C. Barros
eess.IVcs.AIcs.CVarXiv:1909.01940v22019
On the generalization of GAN image forensics
Xinsheng Xuan, Bo Peng, Wei Wang +1
cs.CVcs.LGstat.MLarXiv:1902.11153v22019
A Learned Representation for Scalable Vector Graphics
Raphael Gontijo Lopes, David Ha, Douglas Eck +1
cs.CVcs.LGstat.MLarXiv:1904.02632v12019
Hyperspherical Prototype Networks
Pascal Mettes, Elise van der Pol, Cees G. M. Snoek
cs.LGstat.MLarXiv:1901.10514v32019
Toxicity Prediction using Deep Learning
Thomas Unterthiner, Andreas Mayr, Günter Klambauer +1
stat.MLcs.LGcs.NEarXiv:1503.01445v12015
Protein sequence design with deep generative models
Zachary Wu, Kadina E. Johnston, Frances H. Arnold +1
q-bio.QMcs.LGq-bio.BMarXiv:2104.04457v12021
Evaluating Adversarial Evasion Attacks in the Context of Wireless Communications
Bryse Flowers, R. Michael Buehrer, William C. Headley
eess.SPcs.LGstat.MLarXiv:1903.01563v12019
Human Activity Recognition using Recurrent Neural Networks
Deepika Singh, Erinc Merdivan, Ismini Psychoula +4
cs.NEcs.LGstat.MLarXiv:1804.07144v12018
Ranking via Sinkhorn Propagation
Ryan Prescott Adams, Richard S. Zemel
stat.MLcs.IRcs.LGarXiv:1106.1925v22011
Active Federated Learning
Jack Goetz, Kshitiz Malik, Duc Bui +3
cs.LGstat.MLarXiv:1909.12641v12019
DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System
Zhi-Hong Deng, Ling Huang, Chang-Dong Wang +2
cs.LGcs.IRstat.MLarXiv:1901.04704v12019
Efficient Bayesian Inference for Generalized Bradley-Terry Models
Francois Caron, Arnaud Doucet
stat.MEstat.COstat.MLarXiv:1011.1761v12010
Sales Demand Forecast in E-commerce using a Long Short-Term Memory Neural Network Methodology
Kasun Bandara, Peibei Shi, Christoph Bergmeir +3
cs.LGstat.MLarXiv:1901.04028v22019
On Robustness of Neural Ordinary Differential Equations
Hanshu Yan, Jiawei Du, Vincent Y. F. Tan +1
cs.LGstat.MLarXiv:1910.05513v42019
Causal-learn: Causal Discovery in Python
Yujia Zheng, Biwei Huang, Wei Chen +6
cs.LGstat.MEstat.MLarXiv:2307.16405v12023
Fashion-Gen: The Generative Fashion Dataset and Challenge
Negar Rostamzadeh, Seyedarian Hosseini, Thomas Boquet +4
stat.MLcs.LGarXiv:1806.08317v22018
Hidden Fluid Mechanics: A Navier-Stokes Informed Deep Learning Framework for Assimilating Flow Visualization Data
Maziar Raissi, Alireza Yazdani, George Em Karniadakis
cs.CEcs.LGphysics.flu-dynarXiv:1808.04327v12018
Attention Enriched Deep Learning Model for Breast Tumor Segmentation in Ultrasound Images
Aleksandar Vakanski, Min Xian, Phoebe Freer
eess.IVcs.LGstat.MLarXiv:1910.08978v22019
Language Models Are An Effective Patient Representation Learning Technique For Electronic Health Record Data
Ethan Steinberg, Ken Jung, Jason A. Fries +3
cs.CLcs.LGstat.MLarXiv:2001.05295v22020
An Architecture Combining Convolutional Neural Network (CNN) and Support Vector Machine (SVM) for Image Classification
Abien Fred Agarap
cs.CVcs.LGcs.NEarXiv:1712.03541v22017
Detecting and interpreting myocardial infarction using fully convolutional neural networks
Nils Strodthoff, Claas Strodthoff
cs.CYcs.LGstat.MLarXiv:1806.07385v22018
Few-Shot Learning with Localization in Realistic Settings
Davis Wertheimer, Bharath Hariharan
cs.CVcs.AIcs.LGarXiv:1904.08502v22019
Stress Field Prediction in Cantilevered Structures Using Convolutional Neural Networks
Zhenguo Nie, Haoliang Jiang, Levent Burak Kara
cs.LGstat.MLarXiv:1808.08914v32018
Learning from VAE Errors to support ECG-based Differential Diagnosis of Myocardial Scar
Shayan Sharifi, Riccardo Treu, Ilaria Gandin +3
cs.LGstat.MLarXiv:2609.05294v12026
Limits of End-to-End Learning
Tobias Glasmachers
cs.LGstat.MLarXiv:1704.08305v12017
Removal of Batch Effects using Distribution-Matching Residual Networks
Uri Shaham, Kelly P. Stanton, Jun Zhao +4
stat.MLarXiv:1610.04181v62016
Split Learning for collaborative deep learning in healthcare
Maarten G. Poirot, Praneeth Vepakomma, Ken Chang +3
cs.LGcs.DCstat.MLarXiv:1912.12115v12019
Adversarial Examples, Uncertainty, and Transfer Testing Robustness in Gaussian Process Hybrid Deep Networks
John Bradshaw, Alexander G. de G. Matthews, Zoubin Ghahramani
stat.MLarXiv:1707.02476v12017
Prostate Cancer Diagnosis using Deep Learning with 3D Multiparametric MRI
Saifeng Liu, Huaixiu Zheng, Yesu Feng +1
cs.CVstat.MLarXiv:1703.04078v12017
More Than Privacy: Applying Differential Privacy in Key Areas of Artificial Intelligence
Tianqing Zhu, Dayong Ye, Wei Wang +2
cs.CRcs.LGstat.MLarXiv:2008.01916v12020
Building Damage Detection in Satellite Imagery Using Convolutional Neural Networks
Joseph Z. Xu, Wenhan Lu, Zebo Li +2
cs.CVcs.LGeess.IVarXiv:1910.06444v12019
N2N Learning: Network to Network Compression via Policy Gradient Reinforcement Learning
Anubhav Ashok, Nicholas Rhinehart, Fares Beainy +1
cs.LGstat.MLarXiv:1709.06030v22017
Artificial Intelligence and Statistics
Bin Yu, Karl Kumbier
stat.MLcs.AIarXiv:1712.03779v12017
An Overview of Melanoma Detection in Dermoscopy Images Using Image Processing and Machine Learning
Nabin K. Mishra, M. Emre Celebi
cs.CVstat.MLarXiv:1601.07843v12016
Deep Learning for Reliable Mobile Edge Analytics in Intelligent Transportation Systems
Aidin Ferdowsi, Ursula Challita, Walid Saad
cs.ITstat.MLarXiv:1712.04135v12017
End-to-End Deep Reinforcement Learning for Lane Keeping Assist
Ahmad El Sallab, Mohammed Abdou, Etienne Perot +1
stat.MLcs.LGcs.ROarXiv:1612.04340v12016
Continual Learning via Neural Pruning
Siavash Golkar, Michael Kagan, Kyunghyun Cho
cs.LGcs.NEq-bio.NCarXiv:1903.04476v12019
Achieving Verified Robustness to Symbol Substitutions via Interval Bound Propagation
Po-Sen Huang, Robert Stanforth, Johannes Welbl +5
cs.CLcs.CRcs.LGarXiv:1909.01492v22019
TristouNet: Triplet Loss for Speaker Turn Embedding
Hervé Bredin
cs.SDstat.MLarXiv:1609.04301v32016
Adversarial Attacks on Machine Learning Cybersecurity Defences in Industrial Control Systems
Eirini Anthi, Lowri Williams, Matilda Rhode +2
cs.LGcs.CReess.SParXiv:2004.05005v12020
Maize Yield and Nitrate Loss Prediction with Machine Learning Algorithms
Mohsen Shahhosseini, Rafael A. Martinez-Feria, Guiping Hu +1
q-bio.OTcs.LGstat.AParXiv:1908.06746v52019
Overfitting Mechanism and Avoidance in Deep Neural Networks
Shaeke Salman, Xiuwen Liu
cs.LGcs.NEstat.MLarXiv:1901.06566v12019
Pushing the limits of unconstrained machine-learned interatomic potentials
Filippo Bigi, Paolo Pegolo, Arslan Mazitov +2
physics.chem-phstat.MLarXiv:2601.16195v32026
Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data
Felipe Petroski Such, Aditya Rawal, Joel Lehman +2
cs.LGstat.MLarXiv:1912.07768v12019
Unsupervised Learning by Competing Hidden Units
Dmitry Krotov, John Hopfield
cs.LGcs.CVcs.NEarXiv:1806.10181v22018
Insights into LSTM Fully Convolutional Networks for Time Series Classification
Fazle Karim, Somshubra Majumdar, Houshang Darabi
cs.LGstat.MLarXiv:1902.10756v32019
Integer Discrete Flows and Lossless Compression
Emiel Hoogeboom, Jorn W. T. Peters, Rianne van den Berg +1
cs.LGcs.CVstat.MLarXiv:1905.07376v42019
Blocks and Fuel: Frameworks for deep learning
Bart van Merriënboer, Dzmitry Bahdanau, Vincent Dumoulin +4
cs.LGcs.NEstat.MLarXiv:1506.00619v12015
Concentrated Differentially Private Gradient Descent with Adaptive per-Iteration Privacy Budget
Jaewoo Lee, Daniel Kifer
cs.LGstat.MLarXiv:1808.09501v12018
Gotta Learn Fast: A New Benchmark for Generalization in RL
Alex Nichol, Vicki Pfau, Christopher Hesse +2
cs.LGstat.MLarXiv:1804.03720v22018

Machine Learning (stat)

Bayesian Hypernetworks

GANVO: Unsupervised Deep Monocular Visual Odometry and Depth Estimation with Generative Adversarial Networks

Improving Reconstruction Autoencoder Out-of-distribution Detection with Mahalanobis Distance

Learning Search Space Partition for Black-box Optimization using Monte Carlo Tree Search

Segmentation of the Proximal Femur from MR Images using Deep Convolutional Neural Networks

NeuralPower: Predict and Deploy Energy-Efficient Convolutional Neural Networks

Improving Chemical Autoencoder Latent Space and Molecular De novo Generation Diversity with Heteroencoders

Distributed Hierarchical GPU Parameter Server for Massive Scale Deep Learning Ads Systems

Transformer-based World Models Are Happy With 100k Interactions

One-Pass Incomplete Multi-view Clustering

Can we trust deep learning models diagnosis? The impact of domain shift in chest radiograph classification

On the generalization of GAN image forensics

A Learned Representation for Scalable Vector Graphics

Hyperspherical Prototype Networks

Toxicity Prediction using Deep Learning

Protein sequence design with deep generative models

Evaluating Adversarial Evasion Attacks in the Context of Wireless Communications

Human Activity Recognition using Recurrent Neural Networks

Ranking via Sinkhorn Propagation

Active Federated Learning

DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System

Efficient Bayesian Inference for Generalized Bradley-Terry Models

Sales Demand Forecast in E-commerce using a Long Short-Term Memory Neural Network Methodology

On Robustness of Neural Ordinary Differential Equations

Causal-learn: Causal Discovery in Python

Fashion-Gen: The Generative Fashion Dataset and Challenge

Hidden Fluid Mechanics: A Navier-Stokes Informed Deep Learning Framework for Assimilating Flow Visualization Data

Attention Enriched Deep Learning Model for Breast Tumor Segmentation in Ultrasound Images

Language Models Are An Effective Patient Representation Learning Technique For Electronic Health Record Data

An Architecture Combining Convolutional Neural Network (CNN) and Support Vector Machine (SVM) for Image Classification

Detecting and interpreting myocardial infarction using fully convolutional neural networks

Few-Shot Learning with Localization in Realistic Settings

Stress Field Prediction in Cantilevered Structures Using Convolutional Neural Networks

Learning from VAE Errors to support ECG-based Differential Diagnosis of Myocardial Scar

Limits of End-to-End Learning

Removal of Batch Effects using Distribution-Matching Residual Networks

Split Learning for collaborative deep learning in healthcare

Adversarial Examples, Uncertainty, and Transfer Testing Robustness in Gaussian Process Hybrid Deep Networks

Prostate Cancer Diagnosis using Deep Learning with 3D Multiparametric MRI

More Than Privacy: Applying Differential Privacy in Key Areas of Artificial Intelligence

Building Damage Detection in Satellite Imagery Using Convolutional Neural Networks

N2N Learning: Network to Network Compression via Policy Gradient Reinforcement Learning

Artificial Intelligence and Statistics

An Overview of Melanoma Detection in Dermoscopy Images Using Image Processing and Machine Learning

Deep Learning for Reliable Mobile Edge Analytics in Intelligent Transportation Systems

End-to-End Deep Reinforcement Learning for Lane Keeping Assist

Continual Learning via Neural Pruning

Achieving Verified Robustness to Symbol Substitutions via Interval Bound Propagation

TristouNet: Triplet Loss for Speaker Turn Embedding

Adversarial Attacks on Machine Learning Cybersecurity Defences in Industrial Control Systems

Maize Yield and Nitrate Loss Prediction with Machine Learning Algorithms

Overfitting Mechanism and Avoidance in Deep Neural Networks

Pushing the limits of unconstrained machine-learned interatomic potentials

Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data

Unsupervised Learning by Competing Hidden Units

Insights into LSTM Fully Convolutional Networks for Time Series Classification

Integer Discrete Flows and Lossless Compression

Blocks and Fuel: Frameworks for deep learning

Concentrated Differentially Private Gradient Descent with Adaptive per-Iteration Privacy Budget

Gotta Learn Fast: A New Benchmark for Generalization in RL