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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9,541 to 9,600 of 9,676

Learning to Self-Train for Semi-Supervised Few-Shot Classification
Xinzhe Li, Qianru Sun, Yaoyao Liu +4
cs.CVcs.LGstat.MLarXiv:1906.00562v22019
Challenges and Opportunities in Quantum Machine Learning
M. Cerezo, Guillaume Verdon, Hsin-Yuan Huang +2
quant-phcs.LGstat.MLarXiv:2303.09491v12023
Algorithmic Fairness
Dana Pessach, Erez Shmueli
cs.CYcs.AIcs.LGarXiv:2001.09784v12020
Transfusion: Understanding Transfer Learning for Medical Imaging
Maithra Raghu, Chiyuan Zhang, Jon Kleinberg +1
cs.CVcs.LGstat.MLarXiv:1902.07208v32019
STC Antispoofing Systems for the ASVspoof2019 Challenge
Galina Lavrentyeva, Sergey Novoselov, Andzhukaev Tseren +3
cs.SDcs.CLcs.CRarXiv:1904.05576v12019
Bag of Tricks for Adversarial Training
Tianyu Pang, Xiao Yang, Yinpeng Dong +2
cs.LGcs.CVstat.MLarXiv:2010.00467v32020
MineRL: A Large-Scale Dataset of Minecraft Demonstrations
William H. Guss, Brandon Houghton, Nicholay Topin +4
cs.LGcs.AIcs.NEarXiv:1907.13440v12019
PixelSNAIL: An Improved Autoregressive Generative Model
Xi Chen, Nikhil Mishra, Mostafa Rohaninejad +1
cs.LGstat.MLarXiv:1712.09763v12017
A Survey of Reinforcement Learning Informed by Natural Language
Jelena Luketina, Nantas Nardelli, Gregory Farquhar +5
cs.LGcs.AIcs.CLarXiv:1906.03926v12019
Input complexity and out-of-distribution detection with likelihood-based generative models
Joan Serrà, David Álvarez, Vicenç Gómez +3
cs.LGstat.MLarXiv:1909.11480v32019
CRED: A Deep Residual Network of Convolutional and Recurrent Units for Earthquake Signal Detection
S. Mostafa Mousavi, Weiqiang Zhu, Yixiao Sheng +1
cs.LGstat.MLarXiv:1810.01965v12018
Large Language Models as Tool Makers
Tianle Cai, Xuezhi Wang, Tengyu Ma +2
cs.LGcs.AIcs.CLarXiv:2305.17126v22023
Inferring land use from mobile phone activity
Jameson L. Toole, Michael Ulm, Dietmar Bauer +1
stat.MLcs.LGphysics.data-anarXiv:1207.1115v12012
Adversarial Active Learning for Deep Networks: a Margin Based Approach
Melanie Ducoffe, Frederic Precioso
cs.LGcs.CVstat.MLarXiv:1802.09841v12018
What Does it Mean for a Language Model to Preserve Privacy?
Hannah Brown, Katherine Lee, Fatemehsadat Mireshghallah +2
stat.MLcs.CLcs.LGarXiv:2202.05520v22022
Simple random search provides a competitive approach to reinforcement learning
Horia Mania, Aurelia Guy, Benjamin Recht
cs.LGcs.AImath.OCarXiv:1803.07055v12018
Implementation Matters in Deep Policy Gradients: A Case Study on PPO and TRPO
Logan Engstrom, Andrew Ilyas, Shibani Santurkar +4
cs.LGcs.ROstat.MLarXiv:2005.12729v12020
Machine Learning that Matters
Kiri Wagstaff
cs.LGcs.AIstat.MLarXiv:1206.4656v12012
Speaker Diarization with LSTM
Quan Wang, Carlton Downey, Li Wan +2
eess.AScs.LGcs.SDarXiv:1710.10468v72017
Onsets and Frames: Dual-Objective Piano Transcription
Curtis Hawthorne, Erich Elsen, Jialin Song +6
cs.SDcs.LGeess.ASarXiv:1710.11153v22017
No Classification without Representation: Assessing Geodiversity Issues in Open Data Sets for the Developing World
Shreya Shankar, Yoni Halpern, Eric Breck +3
stat.MLarXiv:1711.08536v12017
Using Fast Weights to Attend to the Recent Past
Jimmy Ba, Geoffrey Hinton, Volodymyr Mnih +2
stat.MLcs.LGcs.NEarXiv:1610.06258v32016
A Survey of Imitation Learning: Algorithms, Recent Developments, and Challenges
Maryam Zare, Parham M. Kebria, Abbas Khosravi +1
cs.LGcs.AIcs.ROarXiv:2309.02473v12023
Cooperative Perception for 3D Object Detection in Driving Scenarios using Infrastructure Sensors
Eduardo Arnold, Mehrdad Dianati, Robert de Temple +1
cs.CVcs.LGcs.MAarXiv:1912.12147v22019
Frequency Recognition in SSVEP-based BCI using Multiset Canonical Correlation Analysis
Yu Zhang, Guoxu Zhou, Jing Jin +2
stat.MLarXiv:1308.5609v22013
Gradio: Hassle-Free Sharing and Testing of ML Models in the Wild
Abubakar Abid, Ali Abdalla, Ali Abid +3
cs.LGcs.HCstat.MLarXiv:1906.02569v12019
On the importance of single directions for generalization
Ari S. Morcos, David G. T. Barrett, Neil C. Rabinowitz +1
stat.MLcs.AIcs.LGarXiv:1803.06959v42018
TensorFuzz: Debugging Neural Networks with Coverage-Guided Fuzzing
Augustus Odena, Ian Goodfellow
stat.MLcs.LGarXiv:1807.10875v12018
Unsupervised learning of phase transitions: from principal component analysis to variational autoencoders
Sebastian Johann Wetzel
cond-mat.stat-mechcs.LGstat.MLarXiv:1703.02435v22017
iNNvestigate neural networks!
Maximilian Alber, Sebastian Lapuschkin, Philipp Seegerer +7
cs.LGstat.MLarXiv:1808.04260v12018
CheXclusion: Fairness gaps in deep chest X-ray classifiers
Laleh Seyyed-Kalantari, Guanxiong Liu, Matthew McDermott +2
cs.CVcs.AIcs.LGarXiv:2003.00827v22020
Solving Systems of Random Quadratic Equations via Truncated Amplitude Flow
Gang Wang, Georgios B. Giannakis, Yonina C. Eldar
stat.MLcs.ITmath.OCarXiv:1605.08285v52016
Survey of Personalization Techniques for Federated Learning
Viraj Kulkarni, Milind Kulkarni, Aniruddha Pant
cs.LGstat.MLarXiv:2003.08673v12020
Improving Deep Learning using Generic Data Augmentation
Luke Taylor, Geoff Nitschke
cs.LGstat.MLarXiv:1708.06020v12017
Molecular generative model based on conditional variational autoencoder for de novo molecular design
Jaechang Lim, Seongok Ryu, Jin Woo Kim +1
cs.LGstat.MLarXiv:1806.05805v12018
A Survey on Anomaly Detection for Technical Systems using LSTM Networks
Benjamin Lindemann, Benjamin Maschler, Nada Sahlab +1
cs.LGcs.AIstat.MLarXiv:2105.13810v12021
Generative Adversarial Perturbations
Omid Poursaeed, Isay Katsman, Bicheng Gao +1
cs.CVcs.CRcs.LGarXiv:1712.02328v32017
Exponentially Weighted Moving Average Charts for Detecting Concept Drift
Gordon J. Ross, Niall M. Adams, Dimitris K. Tasoulis +1
stat.MLcs.LGstat.AParXiv:1212.6018v12012
Neural Lyapunov Control
Ya-Chien Chang, Nima Roohi, Sicun Gao
cs.LGcs.NEcs.ROarXiv:2005.00611v42020
Classifying and Segmenting Microscopy Images Using Convolutional Multiple Instance Learning
Oren Z. Kraus, Lei Jimmy Ba, Brendan Frey
cs.CVq-bio.SCstat.MLarXiv:1511.05286v12015
Interpretability of machine learning based prediction models in healthcare
Gregor Stiglic, Primoz Kocbek, Nino Fijacko +3
cs.LGstat.MLarXiv:2002.08596v22020
Multidimensional classification of hippocampal shape features discriminates Alzheimer's disease and mild cognitive impairment from normal aging
Emilie Gerardin, Gaël Chételat, Marie Chupin +9
cs.CVq-bio.NCstat.MLarXiv:1707.05961v12017
Patient Clustering Improves Efficiency of Federated Machine Learning to predict mortality and hospital stay time using distributed Electronic Medical Records
Li Huang, Dianbo Liu
cs.LGstat.MLarXiv:1903.09296v12019
Active Diffusion-Based Inference for Ill-Posed Inverse Problems under Incomplete Priors
Jitao Xu, Nobuo Sato, Yaohang Li
stat.MLcs.AIcs.LGarXiv:2608.27080v12026
The Hanabi Challenge: A New Frontier for AI Research
Nolan Bard, Jakob N. Foerster, Sarath Chandar +12
cs.LGcs.AIstat.MLarXiv:1902.00506v22019
Large image datasets: A pyrrhic win for computer vision?
Vinay Uday Prabhu, Abeba Birhane
cs.CYstat.APstat.MLarXiv:2006.16923v22020
The Frontiers of Fairness in Machine Learning
Alexandra Chouldechova, Aaron Roth
cs.LGcs.DScs.GTarXiv:1810.08810v12018
Fast and Accurate Recurrent Neural Network Acoustic Models for Speech Recognition
Haşim Sak, Andrew Senior, Kanishka Rao +1
cs.CLcs.LGcs.NEarXiv:1507.06947v12015
Deep Learning of Vortex Induced Vibrations
Maziar Raissi, Zhicheng Wang, Michael S. Triantafyllou +1
physics.flu-dyncs.CEcs.LGarXiv:1808.08952v12018
DALEX: explainers for complex predictive models
Przemyslaw Biecek
stat.MLcs.AIcs.LGarXiv:1806.08915v22018
Learning Gender-Neutral Word Embeddings
Jieyu Zhao, Yichao Zhou, Zeyu Li +2
cs.CLcs.LGstat.MLarXiv:1809.01496v12018
Dataset Augmentation in Feature Space
Terrance DeVries, Graham W. Taylor
stat.MLcs.LGarXiv:1702.05538v12017
Neural Photo Editing with Introspective Adversarial Networks
Andrew Brock, Theodore Lim, J. M. Ritchie +1
cs.LGcs.CVcs.NEarXiv:1609.07093v32016
Reporting Score Distributions Makes a Difference: Performance Study of LSTM-networks for Sequence Tagging
Nils Reimers, Iryna Gurevych
cs.CLstat.MLarXiv:1707.09861v12017
Inductive Biases for Deep Learning of Higher-Level Cognition
Anirudh Goyal, Yoshua Bengio
cs.LGcs.AIstat.MLarXiv:2011.15091v42020
Visualizing and Measuring the Geometry of BERT
Andy Coenen, Emily Reif, Ann Yuan +4
cs.LGcs.CLstat.MLarXiv:1906.02715v22019
Hyperparameter Search in Machine Learning
Marc Claesen, Bart De Moor
cs.LGstat.MLarXiv:1502.02127v22015
Implicit Bias of Gradient Descent on Linear Convolutional Networks
Suriya Gunasekar, Jason Lee, Daniel Soudry +1
cs.LGstat.MLarXiv:1806.00468v22018
Retrosynthetic reaction prediction using neural sequence-to-sequence models
Bowen Liu, Bharath Ramsundar, Prasad Kawthekar +7
cs.LGq-bio.QMstat.MLarXiv:1706.01643v12017
Performative Prediction
Juan C. Perdomo, Tijana Zrnic, Celestine Mendler-Dünner +1
cs.LGcs.GTstat.MLarXiv:2002.06673v42020

Machine Learning (stat)

Learning to Self-Train for Semi-Supervised Few-Shot Classification

Challenges and Opportunities in Quantum Machine Learning

Algorithmic Fairness

Transfusion: Understanding Transfer Learning for Medical Imaging

STC Antispoofing Systems for the ASVspoof2019 Challenge

Bag of Tricks for Adversarial Training

MineRL: A Large-Scale Dataset of Minecraft Demonstrations

PixelSNAIL: An Improved Autoregressive Generative Model

A Survey of Reinforcement Learning Informed by Natural Language

Input complexity and out-of-distribution detection with likelihood-based generative models

CRED: A Deep Residual Network of Convolutional and Recurrent Units for Earthquake Signal Detection

Large Language Models as Tool Makers

Inferring land use from mobile phone activity

Adversarial Active Learning for Deep Networks: a Margin Based Approach

What Does it Mean for a Language Model to Preserve Privacy?

Simple random search provides a competitive approach to reinforcement learning

Implementation Matters in Deep Policy Gradients: A Case Study on PPO and TRPO

Machine Learning that Matters

Speaker Diarization with LSTM

Onsets and Frames: Dual-Objective Piano Transcription

No Classification without Representation: Assessing Geodiversity Issues in Open Data Sets for the Developing World

Using Fast Weights to Attend to the Recent Past

A Survey of Imitation Learning: Algorithms, Recent Developments, and Challenges

Cooperative Perception for 3D Object Detection in Driving Scenarios using Infrastructure Sensors

Frequency Recognition in SSVEP-based BCI using Multiset Canonical Correlation Analysis

Gradio: Hassle-Free Sharing and Testing of ML Models in the Wild

On the importance of single directions for generalization

TensorFuzz: Debugging Neural Networks with Coverage-Guided Fuzzing

Unsupervised learning of phase transitions: from principal component analysis to variational autoencoders

iNNvestigate neural networks!

CheXclusion: Fairness gaps in deep chest X-ray classifiers

Solving Systems of Random Quadratic Equations via Truncated Amplitude Flow

Survey of Personalization Techniques for Federated Learning

Improving Deep Learning using Generic Data Augmentation

Molecular generative model based on conditional variational autoencoder for de novo molecular design

A Survey on Anomaly Detection for Technical Systems using LSTM Networks

Generative Adversarial Perturbations

Exponentially Weighted Moving Average Charts for Detecting Concept Drift

Neural Lyapunov Control

Classifying and Segmenting Microscopy Images Using Convolutional Multiple Instance Learning

Interpretability of machine learning based prediction models in healthcare

Multidimensional classification of hippocampal shape features discriminates Alzheimer's disease and mild cognitive impairment from normal aging

Patient Clustering Improves Efficiency of Federated Machine Learning to predict mortality and hospital stay time using distributed Electronic Medical Records

Active Diffusion-Based Inference for Ill-Posed Inverse Problems under Incomplete Priors

The Hanabi Challenge: A New Frontier for AI Research

Large image datasets: A pyrrhic win for computer vision?

The Frontiers of Fairness in Machine Learning

Fast and Accurate Recurrent Neural Network Acoustic Models for Speech Recognition

Deep Learning of Vortex Induced Vibrations

DALEX: explainers for complex predictive models

Learning Gender-Neutral Word Embeddings

Dataset Augmentation in Feature Space

Neural Photo Editing with Introspective Adversarial Networks

Reporting Score Distributions Makes a Difference: Performance Study of LSTM-networks for Sequence Tagging

Inductive Biases for Deep Learning of Higher-Level Cognition

Visualizing and Measuring the Geometry of BERT

Hyperparameter Search in Machine Learning

Implicit Bias of Gradient Descent on Linear Convolutional Networks

Retrosynthetic reaction prediction using neural sequence-to-sequence models

Performative Prediction