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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6,181 to 6,240 of 6,790

Deep Reinforcement Learning for Multi-Agent Systems: A Review of Challenges, Solutions and Applications
Thanh Thi Nguyen, Ngoc Duy Nguyen, Saeid Nahavandi
cs.LGcs.AIcs.MAarXiv:1812.11794v22018
Generating Adversarial Examples with Adversarial Networks
Chaowei Xiao, Bo Li, Jun-Yan Zhu +3
cs.CRcs.CVstat.MLarXiv:1801.02610v52018
An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution
Rosanne Liu, Joel Lehman, Piero Molino +4
cs.CVcs.LGstat.MLarXiv:1807.03247v22018
Progress & Compress: A scalable framework for continual learning
Jonathan Schwarz, Jelena Luketina, Wojciech M. Czarnecki +4
stat.MLcs.LGarXiv:1805.06370v22018
Self-Hinting Language Models Enhance Reinforcement Learning
Baohao Liao, Hanze Dong, Xinxing Xu +2
cs.LGcs.AIcs.CLarXiv:2602.03143v12026
The Hidden Vulnerability of Distributed Learning in Byzantium
El Mahdi El Mhamdi, Rachid Guerraoui, Sébastien Rouault
stat.MLcs.CRcs.DCarXiv:1802.07927v22018
Neural Spline Flows
Conor Durkan, Artur Bekasov, Iain Murray +1
stat.MLcs.LGarXiv:1906.04032v22019
Evaluating Protein Transfer Learning with TAPE
Roshan Rao, Nicholas Bhattacharya, Neil Thomas +5
cs.LGq-bio.BMstat.MLarXiv:1906.08230v12019
Hyperparameter Optimization: Foundations, Algorithms, Best Practices and Open Challenges
Bernd Bischl, Martin Binder, Michel Lang +9
stat.MLcs.LGarXiv:2107.05847v32021
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
Gradient based sample selection for online continual learning
Rahaf Aljundi, Min Lin, Baptiste Goujaud +1
cs.LGcs.AIcs.CVarXiv:1903.08671v52019
Multivariate LSTM-FCNs for Time Series Classification
Fazle Karim, Somshubra Majumdar, Houshang Darabi +1
cs.LGstat.MLarXiv:1801.04503v22018
MAD-GAN: Multivariate Anomaly Detection for Time Series Data with Generative Adversarial Networks
Dan Li, Dacheng Chen, Lei Shi +3
cs.LGstat.MLarXiv:1901.04997v12019
Interpretation of Neural Networks is Fragile
Amirata Ghorbani, Abubakar Abid, James Zou
stat.MLcs.LGarXiv:1710.10547v22017
Unrolled Generative Adversarial Networks
Luke Metz, Ben Poole, David Pfau +1
cs.LGstat.MLarXiv:1611.02163v42016
Generalized End-to-End Loss for Speaker Verification
Li Wan, Quan Wang, Alan Papir +1
eess.AScs.CLcs.LGarXiv:1710.10467v52017
Meta-learning with differentiable closed-form solvers
Luca Bertinetto, João F. Henriques, Philip H. S. Torr +1
cs.CVcs.LGstat.MLarXiv:1805.08136v32018
Contrastive Learning with Hard Negative Samples
Joshua Robinson, Ching-Yao Chuang, Suvrit Sra +1
cs.LGstat.MLarXiv:2010.04592v22020
Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty
Dan Hendrycks, Mantas Mazeika, Saurav Kadavath +1
cs.LGcs.CVstat.MLarXiv:1906.12340v22019
How to Construct Deep Recurrent Neural Networks
Razvan Pascanu, Caglar Gulcehre, Kyunghyun Cho +1
cs.NEcs.LGstat.MLarXiv:1312.6026v52013
fastMRI: An Open Dataset and Benchmarks for Accelerated MRI
Jure Zbontar, Florian Knoll, Anuroop Sriram +24
cs.CVcs.LGeess.SParXiv:1811.08839v22018
Learning multiple visual domains with residual adapters
Sylvestre-Alvise Rebuffi, Hakan Bilen, Andrea Vedaldi
cs.CVstat.MLarXiv:1705.08045v52017
A review on outlier/anomaly detection in time series data
Ane Blázquez-García, Angel Conde, Usue Mori +1
cs.LGstat.MLarXiv:2002.04236v12020
ConViT: Improving Vision Transformers with Soft Convolutional Inductive Biases
Stéphane d'Ascoli, Hugo Touvron, Matthew Leavitt +3
cs.CVcs.LGstat.MLarXiv:2103.10697v22021
QTRAN: Learning to Factorize with Transformation for Cooperative Multi-Agent Reinforcement Learning
Kyunghwan Son, Daewoo Kim, Wan Ju Kang +2
cs.LGcs.AIcs.MAarXiv:1905.05408v12019
Kernels for Vector-Valued Functions: a Review
Mauricio A. Alvarez, Lorenzo Rosasco, Neil D. Lawrence
stat.MLcs.AImath.STarXiv:1106.6251v22011
A General Theoretical Paradigm to Understand Learning from Human Preferences
Mohammad Gheshlaghi Azar, Mark Rowland, Bilal Piot +4
cs.AIcs.LGstat.MLarXiv:2310.12036v22023
FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models
Will Grathwohl, Ricky T. Q. Chen, Jesse Bettencourt +2
cs.LGcs.CVstat.MLarXiv:1810.01367v32018
Deep Kernel Learning
Andrew Gordon Wilson, Zhiting Hu, Ruslan Salakhutdinov +1
cs.LGcs.AIstat.MEarXiv:1511.02222v12015
Learning to reinforcement learn
Jane X Wang, Zeb Kurth-Nelson, Dhruva Tirumala +6
cs.LGcs.AIstat.MLarXiv:1611.05763v32016
Conformalized Quantile Regression
Yaniv Romano, Evan Patterson, Emmanuel J. Candès
stat.MEstat.MLarXiv:1905.03222v12019
Multitask learning and benchmarking with clinical time series data
Hrayr Harutyunyan, Hrant Khachatrian, David C. Kale +2
stat.MLcs.LGarXiv:1703.07771v32017
Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints
Jieyu Zhao, Tianlu Wang, Mark Yatskar +2
cs.AIcs.CLcs.CVarXiv:1707.09457v12017
How Much Knowledge Can You Pack Into the Parameters of a Language Model?
Adam Roberts, Colin Raffel, Noam Shazeer
cs.CLcs.LGstat.MLarXiv:2002.08910v42020
Test-Time Scaling Makes Overtraining Compute-Optimal
Nicholas Roberts, Sungjun Cho, Zhiqi Gao +7
cs.LGcs.CLstat.MLarXiv:2604.01411v12026
The Geometric Alignment Tax: Tokenization vs. Continuous Geometry in Scientific Foundation Models
Prashant C. Raju
cs.LGcs.ITq-bio.QMarXiv:2604.04155v12026
Disentangling by Factorising
Hyunjik Kim, Andriy Mnih
stat.MLcs.LGarXiv:1802.05983v32018
Certifying and removing disparate impact
Michael Feldman, Sorelle Friedler, John Moeller +2
stat.MLcs.CYarXiv:1412.3756v32014
Born Again Neural Networks
Tommaso Furlanello, Zachary C. Lipton, Michael Tschannen +2
stat.MLcs.AIcs.LGarXiv:1805.04770v22018
In-Place Test-Time Training
Guhao Feng, Shengjie Luo, Kai Hua +4
cs.LGcs.AIcs.CLarXiv:2604.06169v12026
ADD for Multi-Bit Image Watermarking
An Luo, Jie Ding
stat.MLcs.AIcs.LGarXiv:2604.11491v12026
The Exceedance Design Effect: Effective Sample Size for Thresholds under Clustering
Adam Noonan
stat.MLcs.LGarXiv:2608.21262v12026
Uncertainty propagation in auto-regressive random neural network models
Janice Adams, Daniele Venturi
stat.MLcs.LGcs.NEarXiv:2608.20483v12026
TRACE-C: Rank-Calibrated Relational Anomaly Detection for Multi-Stream Operational Telemetry
Matthew Faucher
cs.LGstat.MLarXiv:2608.21251v12026
The Geometric Canary: Predicting Steerability and Detecting Drift via Representational Stability
Prashant C. Raju
cs.LGcs.CLstat.MLarXiv:2604.17698v22026
A Critical Audit of Spatiotemporal Forecasting Benchmark Datasets and Baselines
Kenneth Martin, Simon Heilig, Asja Fischer +3
cs.LGstat.MLarXiv:2608.20980v12026
Geometric Stability: The Missing Axis of Representations
Prashant C. Raju
cs.LGcs.CLq-bio.QMarXiv:2601.09173v52026
MolGAN: An implicit generative model for small molecular graphs
Nicola De Cao, Thomas Kipf
stat.MLcs.LGarXiv:1805.11973v22018
When Clean Data Hurts: Learning with Monotone Corruptions Beyond Binary Classification
Julian Asilis, Shaddin Dughmi, Chirag Pabbaraju
cs.LGstat.MLarXiv:2608.20480v12026
Describing Videos by Exploiting Temporal Structure
Li Yao, Atousa Torabi, Kyunghyun Cho +4
stat.MLcs.AIcs.CLarXiv:1502.08029v52015
Learned Step Size Quantization
Steven K. Esser, Jeffrey L. McKinstry, Deepika Bablani +2
cs.LGstat.MLarXiv:1902.08153v32019
Are GANs Created Equal? A Large-Scale Study
Mario Lucic, Karol Kurach, Marcin Michalski +2
stat.MLcs.LGarXiv:1711.10337v42017
Resnet in Resnet: Generalizing Residual Architectures
Sasha Targ, Diogo Almeida, Kevin Lyman
cs.LGcs.CVcs.NEarXiv:1603.08029v12016
ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels
Angus Dempster, François Petitjean, Geoffrey I. Webb
cs.LGstat.MLarXiv:1910.13051v12019
NVAE: A Deep Hierarchical Variational Autoencoder
Arash Vahdat, Jan Kautz
stat.MLcs.CVcs.LGarXiv:2007.03898v32020
PointPainting: Sequential Fusion for 3D Object Detection
Sourabh Vora, Alex H. Lang, Bassam Helou +1
cs.CVcs.LGeess.IVarXiv:1911.10150v22019
Deep Graph Contrastive Representation Learning
Yanqiao Zhu, Yichen Xu, Feng Yu +3
cs.LGstat.MLarXiv:2006.04131v22020
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
The UCR Time Series Archive
Hoang Anh Dau, Anthony Bagnall, Kaveh Kamgar +5
cs.LGstat.MLarXiv:1810.07758v22018
Low-rank Matrix Completion using Alternating Minimization
Prateek Jain, Praneeth Netrapalli, Sujay Sanghavi
stat.MLcs.LGmath.OCarXiv:1212.0467v12012

Machine Learning (stat)

Deep Reinforcement Learning for Multi-Agent Systems: A Review of Challenges, Solutions and Applications

Generating Adversarial Examples with Adversarial Networks

An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution

Progress & Compress: A scalable framework for continual learning

Self-Hinting Language Models Enhance Reinforcement Learning

The Hidden Vulnerability of Distributed Learning in Byzantium

Neural Spline Flows

Evaluating Protein Transfer Learning with TAPE

Hyperparameter Optimization: Foundations, Algorithms, Best Practices and Open Challenges

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

Gradient based sample selection for online continual learning

Multivariate LSTM-FCNs for Time Series Classification

MAD-GAN: Multivariate Anomaly Detection for Time Series Data with Generative Adversarial Networks

Interpretation of Neural Networks is Fragile

Unrolled Generative Adversarial Networks

Generalized End-to-End Loss for Speaker Verification

Meta-learning with differentiable closed-form solvers

Contrastive Learning with Hard Negative Samples

Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty

How to Construct Deep Recurrent Neural Networks

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI

Learning multiple visual domains with residual adapters

A review on outlier/anomaly detection in time series data

ConViT: Improving Vision Transformers with Soft Convolutional Inductive Biases

QTRAN: Learning to Factorize with Transformation for Cooperative Multi-Agent Reinforcement Learning

Kernels for Vector-Valued Functions: a Review

A General Theoretical Paradigm to Understand Learning from Human Preferences

FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models

Deep Kernel Learning

Learning to reinforcement learn

Conformalized Quantile Regression

Multitask learning and benchmarking with clinical time series data

Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints

How Much Knowledge Can You Pack Into the Parameters of a Language Model?

Test-Time Scaling Makes Overtraining Compute-Optimal

The Geometric Alignment Tax: Tokenization vs. Continuous Geometry in Scientific Foundation Models

Disentangling by Factorising

Certifying and removing disparate impact

Born Again Neural Networks

In-Place Test-Time Training

ADD for Multi-Bit Image Watermarking

The Exceedance Design Effect: Effective Sample Size for Thresholds under Clustering

Uncertainty propagation in auto-regressive random neural network models

TRACE-C: Rank-Calibrated Relational Anomaly Detection for Multi-Stream Operational Telemetry

The Geometric Canary: Predicting Steerability and Detecting Drift via Representational Stability

A Critical Audit of Spatiotemporal Forecasting Benchmark Datasets and Baselines

Geometric Stability: The Missing Axis of Representations

MolGAN: An implicit generative model for small molecular graphs

When Clean Data Hurts: Learning with Monotone Corruptions Beyond Binary Classification

Describing Videos by Exploiting Temporal Structure

Learned Step Size Quantization

Are GANs Created Equal? A Large-Scale Study

Resnet in Resnet: Generalizing Residual Architectures

ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels

NVAE: A Deep Hierarchical Variational Autoencoder

PointPainting: Sequential Fusion for 3D Object Detection

Deep Graph Contrastive Representation Learning

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

The UCR Time Series Archive

Low-rank Matrix Completion using Alternating Minimization