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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9,481 to 9,540 of 9,685

Offline Handwritten Signature Verification - Literature Review
Luiz G. Hafemann, Robert Sabourin, Luiz S. Oliveira
cs.CVstat.MLarXiv:1507.07909v42015
Conditional Generative Adversarial Networks for Speech Enhancement and Noise-Robust Speaker Verification
Daniel Michelsanti, Zheng-Hua Tan
eess.AScs.LGcs.SDarXiv:1709.01703v22017
Benchmarking Keyword Spotting Efficiency on Neuromorphic Hardware
Peter Blouw, Xuan Choo, Eric Hunsberger +1
cs.LGstat.MLarXiv:1812.01739v22018
Boosting Few-Shot Learning With Adaptive Margin Loss
Aoxue Li, Weiran Huang, Xu Lan +3
cs.CVcs.LGstat.MLarXiv:2005.13826v12020
BottleNet++: An End-to-End Approach for Feature Compression in Device-Edge Co-Inference Systems
Jiawei Shao, Jun Zhang
cs.LGeess.SPstat.MLarXiv:1910.14315v52019
Fourier Spectrum Discrepancies in Deep Network Generated Images
Tarik Dzanic, Karan Shah, Freddie Witherden
eess.IVcs.LGstat.MLarXiv:1911.06465v32019
Towards Automated Machine Learning: Evaluation and Comparison of AutoML Approaches and Tools
Anh Truong, Austin Walters, Jeremy Goodsitt +3
cs.LGstat.MLarXiv:1908.05557v22019
Uncertainty-aware Short-term Motion Prediction of Traffic Actors for Autonomous Driving
Nemanja Djuric, Vladan Radosavljevic, Henggang Cui +5
cs.LGcs.CVcs.ROarXiv:1808.05819v32018
Bayesian Optimization with Gradients
Jian Wu, Matthias Poloczek, Andrew Gordon Wilson +1
stat.MLcs.AIcs.LGarXiv:1703.04389v32017
General Pitfalls of Model-Agnostic Interpretation Methods for Machine Learning Models
Christoph Molnar, Gunnar König, Julia Herbinger +6
stat.MLcs.LGarXiv:2007.04131v22020
Data Augmentation Using GANs
Fabio Henrique Kiyoiti dos Santos Tanaka, Claus Aranha
cs.LGstat.MLarXiv:1904.09135v12019
What Language Model Architecture and Pretraining Objective Work Best for Zero-Shot Generalization?
Thomas Wang, Adam Roberts, Daniel Hesslow +5
cs.CLcs.LGstat.MLarXiv:2204.05832v12022
Uncertainty in Neural Networks: Approximately Bayesian Ensembling
Tim Pearce, Felix Leibfried, Alexandra Brintrup +2
stat.MLcs.LGarXiv:1810.05546v52018
Compressing Large-Scale Transformer-Based Models: A Case Study on BERT
Prakhar Ganesh, Yao Chen, Xin Lou +6
cs.LGstat.MLarXiv:2002.11985v22020
Symbolic Music Generation with Diffusion Models
Gautam Mittal, Jesse Engel, Curtis Hawthorne +1
cs.SDcs.LGeess.ASarXiv:2103.16091v22021
How Much Reading Does Reading Comprehension Require? A Critical Investigation of Popular Benchmarks
Divyansh Kaushik, Zachary C. Lipton
cs.CLcs.AIcs.LGarXiv:1808.04926v22018
Improvements to deep convolutional neural networks for LVCSR
Tara N. Sainath, Brian Kingsbury, Abdel-rahman Mohamed +6
cs.LGcs.CLcs.NEarXiv:1309.1501v32013
Survey of resampling techniques for improving classification performance in unbalanced datasets
Ajinkya More
stat.APcs.LGstat.MLarXiv:1608.06048v12016
Adaptive Stress Testing for Autonomous Vehicles
Mark Koren, Saud Alsaif, Ritchie Lee +1
cs.ROcs.AIcs.LGarXiv:1902.01909v12019
Deep Learning Enables Automatic Detection and Segmentation of Brain Metastases on Multi-Sequence MRI
Endre Grøvik, Darvin Yi, Michael Iv +3
eess.IVcs.LGstat.MLarXiv:1903.07988v12019
Feature Engineering for Predictive Modeling using Reinforcement Learning
Udayan Khurana, Horst Samulowitz, Deepak Turaga
cs.AIcs.LGstat.MLarXiv:1709.07150v12017
Human brain distinctiveness based on EEG spectral coherence connectivity
Daria La Rocca, Patrizio Campisi, Balazs Vegso +4
q-bio.NCstat.MLarXiv:1403.6384v12014
Automatic Curriculum Learning For Deep RL: A Short Survey
Rémy Portelas, Cédric Colas, Lilian Weng +2
cs.LGcs.AIstat.MLarXiv:2003.04664v22020
Word Embeddings: A Survey
Felipe Almeida, Geraldo Xexéo
cs.CLcs.LGstat.MLarXiv:1901.09069v22019
Application of Convolutional Neural Network to Predict Airfoil Lift Coefficient
Yao Zhang, Woong-Je Sung, Dimitri Mavris
stat.MLcs.LGarXiv:1712.10082v22017
Spectral Graph Convolutions for Population-based Disease Prediction
Sarah Parisot, Sofia Ira Ktena, Enzo Ferrante +4
stat.MLcs.LGarXiv:1703.03020v32017
The Feeling of Success: Does Touch Sensing Help Predict Grasp Outcomes?
Roberto Calandra, Andrew Owens, Manu Upadhyaya +4
cs.ROcs.CVcs.LGarXiv:1710.05512v22017
A Close Look at Deep Learning with Small Data
L. Brigato, L. Iocchi
cs.LGstat.MLarXiv:2003.12843v32020
Off-policy evaluation for slate recommendation
Adith Swaminathan, Akshay Krishnamurthy, Alekh Agarwal +4
cs.LGcs.AIstat.MLarXiv:1605.04812v32016
Learning Problem-agnostic Speech Representations from Multiple Self-supervised Tasks
Santiago Pascual, Mirco Ravanelli, Joan Serrà +2
cs.LGcs.SDeess.ASarXiv:1904.03416v12019
An Open Source AutoML Benchmark
Pieter Gijsbers, Erin LeDell, Janek Thomas +3
cs.LGstat.MLarXiv:1907.00909v12019
Joint Domain Alignment and Discriminative Feature Learning for Unsupervised Deep Domain Adaptation
Chao Chen, Zhihong Chen, Boyuan Jiang +1
cs.LGcs.CVstat.MLarXiv:1808.09347v22018
Recurrent Fully Convolutional Neural Networks for Multi-slice MRI Cardiac Segmentation
Rudra P K Poudel, Pablo Lamata, Giovanni Montana
stat.MLcs.CVcs.LGarXiv:1608.03974v12016
Bayesian graph convolutional neural networks for semi-supervised classification
Yingxue Zhang, Soumyasundar Pal, Mark Coates +1
stat.MLcs.LGarXiv:1811.11103v12018
Global Wheat Head Detection (GWHD) dataset: a large and diverse dataset of high resolution RGB labelled images to develop and benchmark wheat head detection methods
E. David, S. Madec, P. Sadeghi-Tehran +14
cs.CVcs.LGstat.MLarXiv:2005.02162v22020
Funnel-Transformer: Filtering out Sequential Redundancy for Efficient Language Processing
Zihang Dai, Guokun Lai, Yiming Yang +1
cs.LGcs.CLstat.MLarXiv:2006.03236v12020
The Consciousness Prior
Yoshua Bengio
cs.LGcs.AIstat.MLarXiv:1709.08568v22017
Will Artificial Intelligence supersede Earth System and Climate Models?
Christopher Irrgang, Niklas Boers, Maike Sonnewald +4
stat.MLcs.LGphysics.ao-pharXiv:2101.09126v12021
SMILES Transformer: Pre-trained Molecular Fingerprint for Low Data Drug Discovery
Shion Honda, Shoi Shi, Hiroki R. Ueda
cs.LGstat.MLarXiv:1911.04738v12019
Dual Student: Breaking the Limits of the Teacher in Semi-supervised Learning
Zhanghan Ke, Daoye Wang, Qiong Yan +2
cs.LGcs.CVstat.MLarXiv:1909.01804v12019
Deep Learning Models of the Retinal Response to Natural Scenes
Lane T. McIntosh, Niru Maheswaranathan, Aran Nayebi +2
q-bio.NCstat.MLarXiv:1702.01825v12017
Monotonic Chunkwise Attention
Chung-Cheng Chiu, Colin Raffel
cs.CLstat.MLarXiv:1712.05382v22017
Deep Neural Network Architectures for Modulation Classification
Xiaoyu Liu, Diyu Yang, Aly El Gamal
cs.LGstat.MLarXiv:1712.00443v32017
PubMed 200k RCT: a Dataset for Sequential Sentence Classification in Medical Abstracts
Franck Dernoncourt, Ji Young Lee
cs.CLcs.AIstat.MLarXiv:1710.06071v12017
Adaptive Risk Minimization: Learning to Adapt to Domain Shift
Marvin Zhang, Henrik Marklund, Nikita Dhawan +3
cs.LGstat.MLarXiv:2007.02931v42020
Predicting Factuality of Reporting and Bias of News Media Sources
Ramy Baly, Georgi Karadzhov, Dimitar Alexandrov +2
cs.IRcs.LGstat.MLarXiv:1810.01765v12018
Fast Weight Attention for Continual Learning
Yifan Zhang, Steve Ta, Jasper Zhang +8
cs.LGcs.CLstat.MLarXiv:2608.27763v12026
Forecasting Economics and Financial Time Series: ARIMA vs. LSTM
Sima Siami-Namini, Akbar Siami Namin
cs.LGq-fin.STstat.MLarXiv:1803.06386v12018
Effective injury forecasting in soccer with GPS training data and machine learning
Alessio Rossi, Luca Pappalardo, Paolo Cintia +3
stat.MLstat.AParXiv:1705.08079v22017
Adversarial Machine Learning -- Industry Perspectives
Ram Shankar Siva Kumar, Magnus Nyström, John Lambert +5
cs.CYcs.CRcs.LGarXiv:2002.05646v32020
DSTP-RNN: a dual-stage two-phase attention-based recurrent neural networks for long-term and multivariate time series prediction
Yeqi Liu, Chuanyang Gong, Ling Yang +1
cs.LGstat.MLarXiv:1904.07464v12019
Fast and Accurate Time Series Classification with WEASEL
Patrick Schäfer, Ulf Leser
cs.DScs.LGstat.MLarXiv:1701.07681v12017
Gradient Descent for Spiking Neural Networks
Dongsung Huh, Terrence J. Sejnowski
q-bio.NCcs.LGcs.NEarXiv:1706.04698v22017
Deep Neural Networks Motivated by Partial Differential Equations
Lars Ruthotto, Eldad Haber
cs.LGmath.OCstat.MLarXiv:1804.04272v22018
Playing hard exploration games by watching YouTube
Yusuf Aytar, Tobias Pfaff, David Budden +3
cs.LGcs.AIcs.CVarXiv:1805.11592v22018
Universal Language Model Fine-tuning for Text Classification
Jeremy Howard, Sebastian Ruder
cs.CLcs.LGstat.MLarXiv:1801.06146v52018
Broadband DOA estimation using Convolutional neural networks trained with noise signals
Soumitro Chakrabarty, Emanuël. A. P. Habets
cs.SDstat.MLarXiv:1705.00919v22017
Riemannian Score-Based Generative Modelling
Valentin De Bortoli, Emile Mathieu, Michael Hutchinson +3
cs.LGmath.PRstat.MLarXiv:2202.02763v32022
Score-Based Generative Modeling with Critically-Damped Langevin Diffusion
Tim Dockhorn, Arash Vahdat, Karsten Kreis
stat.MLcs.LGarXiv:2112.07068v42021
Modeling The Intensity Function Of Point Process Via Recurrent Neural Networks
Shuai Xiao, Junchi Yan, Stephen M. Chu +2
cs.LGcs.AIstat.MLarXiv:1705.08982v12017

Machine Learning (stat)

Offline Handwritten Signature Verification - Literature Review

Conditional Generative Adversarial Networks for Speech Enhancement and Noise-Robust Speaker Verification

Benchmarking Keyword Spotting Efficiency on Neuromorphic Hardware

Boosting Few-Shot Learning With Adaptive Margin Loss

BottleNet++: An End-to-End Approach for Feature Compression in Device-Edge Co-Inference Systems

Fourier Spectrum Discrepancies in Deep Network Generated Images

Towards Automated Machine Learning: Evaluation and Comparison of AutoML Approaches and Tools

Uncertainty-aware Short-term Motion Prediction of Traffic Actors for Autonomous Driving

Bayesian Optimization with Gradients

General Pitfalls of Model-Agnostic Interpretation Methods for Machine Learning Models

Data Augmentation Using GANs

What Language Model Architecture and Pretraining Objective Work Best for Zero-Shot Generalization?

Uncertainty in Neural Networks: Approximately Bayesian Ensembling

Compressing Large-Scale Transformer-Based Models: A Case Study on BERT

Symbolic Music Generation with Diffusion Models

How Much Reading Does Reading Comprehension Require? A Critical Investigation of Popular Benchmarks

Improvements to deep convolutional neural networks for LVCSR

Survey of resampling techniques for improving classification performance in unbalanced datasets

Adaptive Stress Testing for Autonomous Vehicles

Deep Learning Enables Automatic Detection and Segmentation of Brain Metastases on Multi-Sequence MRI

Feature Engineering for Predictive Modeling using Reinforcement Learning

Human brain distinctiveness based on EEG spectral coherence connectivity

Automatic Curriculum Learning For Deep RL: A Short Survey

Word Embeddings: A Survey

Application of Convolutional Neural Network to Predict Airfoil Lift Coefficient

Spectral Graph Convolutions for Population-based Disease Prediction

The Feeling of Success: Does Touch Sensing Help Predict Grasp Outcomes?

A Close Look at Deep Learning with Small Data

Off-policy evaluation for slate recommendation

Learning Problem-agnostic Speech Representations from Multiple Self-supervised Tasks

An Open Source AutoML Benchmark

Joint Domain Alignment and Discriminative Feature Learning for Unsupervised Deep Domain Adaptation

Recurrent Fully Convolutional Neural Networks for Multi-slice MRI Cardiac Segmentation

Bayesian graph convolutional neural networks for semi-supervised classification

Global Wheat Head Detection (GWHD) dataset: a large and diverse dataset of high resolution RGB labelled images to develop and benchmark wheat head detection methods

Funnel-Transformer: Filtering out Sequential Redundancy for Efficient Language Processing

The Consciousness Prior

Will Artificial Intelligence supersede Earth System and Climate Models?

SMILES Transformer: Pre-trained Molecular Fingerprint for Low Data Drug Discovery

Dual Student: Breaking the Limits of the Teacher in Semi-supervised Learning

Deep Learning Models of the Retinal Response to Natural Scenes

Monotonic Chunkwise Attention

Deep Neural Network Architectures for Modulation Classification

PubMed 200k RCT: a Dataset for Sequential Sentence Classification in Medical Abstracts

Adaptive Risk Minimization: Learning to Adapt to Domain Shift

Predicting Factuality of Reporting and Bias of News Media Sources

Fast Weight Attention for Continual Learning

Forecasting Economics and Financial Time Series: ARIMA vs. LSTM

Effective injury forecasting in soccer with GPS training data and machine learning

Adversarial Machine Learning -- Industry Perspectives

DSTP-RNN: a dual-stage two-phase attention-based recurrent neural networks for long-term and multivariate time series prediction

Fast and Accurate Time Series Classification with WEASEL

Gradient Descent for Spiking Neural Networks

Deep Neural Networks Motivated by Partial Differential Equations

Playing hard exploration games by watching YouTube

Universal Language Model Fine-tuning for Text Classification

Broadband DOA estimation using Convolutional neural networks trained with noise signals

Riemannian Score-Based Generative Modelling

Score-Based Generative Modeling with Critically-Damped Langevin Diffusion

Modeling The Intensity Function Of Point Process Via Recurrent Neural Networks