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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8,941 to 9,000 of 9,656

The Intrinsic Dimension of Images and Its Impact on Learning
Phillip Pope, Chen Zhu, Ahmed Abdelkader +2
cs.CVcs.LGstat.MLarXiv:2104.08894v12021
DiffWave: A Versatile Diffusion Model for Audio Synthesis
Zhifeng Kong, Wei Ping, Jiaji Huang +2
eess.AScs.CLcs.LGarXiv:2009.09761v32020
Deep Parametric Continuous Convolutional Neural Networks
Shenlong Wang, Simon Suo, Wei-Chiu Ma +2
cs.CVcs.AIcs.LGarXiv:2101.06742v12021
A Living Review of Machine Learning for Particle Physics
Matthew Feickert, Benjamin Nachman
hep-phcs.LGhep-exarXiv:2102.02770v12021
ProGen: Language Modeling for Protein Generation
Ali Madani, Bryan McCann, Nikhil Naik +5
q-bio.BMcs.LGstat.MLarXiv:2004.03497v12020
Phasic Policy Gradient
Karl Cobbe, Jacob Hilton, Oleg Klimov +1
cs.LGstat.MLarXiv:2009.04416v12020
Regularizing Class-wise Predictions via Self-knowledge Distillation
Sukmin Yun, Jongjin Park, Kimin Lee +1
cs.LGcs.CVstat.MLarXiv:2003.13964v22020
Autoregressive Entity Retrieval
Nicola De Cao, Gautier Izacard, Sebastian Riedel +1
cs.CLcs.IRcs.LGarXiv:2010.00904v32020
Customer churn prediction in telecom using machine learning and social network analysis in big data platform
Abdelrahim Kasem Ahmad, Assef Jafar, Kadan Aljoumaa
cs.CYcs.DCcs.LGarXiv:1904.00690v12019
Parametric UMAP embeddings for representation and semi-supervised learning
Tim Sainburg, Leland McInnes, Timothy Q Gentner
cs.LGcs.CGq-bio.QMarXiv:2009.12981v42020
Uncovering the structure of clinical EEG signals with self-supervised learning
Hubert Banville, Omar Chehab, Aapo Hyvärinen +2
stat.MLcs.LGeess.SParXiv:2007.16104v12020
Coarse Graining Molecular Dynamics with Graph Neural Networks
Brooke E. Husic, Nicholas E. Charron, Dominik Lemm +9
physics.comp-phphysics.bio-phphysics.chem-pharXiv:2007.11412v32020
Data Movement Is All You Need: A Case Study on Optimizing Transformers
Andrei Ivanov, Nikoli Dryden, Tal Ben-Nun +2
cs.LGstat.MLarXiv:2007.00072v32020
Fairwashing: the risk of rationalization
Ulrich Aïvodji, Hiromi Arai, Olivier Fortineau +3
cs.LGstat.MLarXiv:1901.09749v32019
Real Time Speech Enhancement in the Waveform Domain
Alexandre Defossez, Gabriel Synnaeve, Yossi Adi
eess.AScs.LGcs.SDarXiv:2006.12847v32020
F*: An Interpretable Transformation of the F-measure
David J. Hand, Peter Christen, Nishadi Kirielle
cs.LGcs.AIcs.CVarXiv:2008.00103v32020
Benchmarking Multivariate Time Series Classification Algorithms
Alejandro Pasos Ruiz, Michael Flynn, Anthony Bagnall
cs.LGstat.MLarXiv:2007.13156v22020
Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills
Víctor Campos, Alexander Trott, Caiming Xiong +3
cs.LGcs.AIstat.MLarXiv:2002.03647v42020
Freeze the Discriminator: a Simple Baseline for Fine-Tuning GANs
Sangwoo Mo, Minsu Cho, Jinwoo Shin
cs.CVcs.LGstat.MLarXiv:2002.10964v22020
Towards Deeper Graph Neural Networks with Differentiable Group Normalization
Kaixiong Zhou, Xiao Huang, Yuening Li +3
cs.LGstat.MLarXiv:2006.06972v12020
Image Super-Resolution with Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining
Yiqun Mei, Yuchen Fan, Yuqian Zhou +3
cs.CVcs.LGeess.IVarXiv:2006.01424v12020
Do Adversarially Robust ImageNet Models Transfer Better?
Hadi Salman, Andrew Ilyas, Logan Engstrom +2
cs.CVcs.LGstat.MLarXiv:2007.08489v22020
Challenges in Benchmarking Stream Learning Algorithms with Real-world Data
Vinicius M. A. Souza, Denis M. dos Reis, Andre G. Maletzke +1
cs.LGstat.MLarXiv:2005.00113v22020
Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models
Daniil Polykovskiy, Alexander Zhebrak, Benjamin Sanchez-Lengeling +13
cs.LGcs.AIcs.DBarXiv:1811.12823v52018
DALES: A Large-scale Aerial LiDAR Data Set for Semantic Segmentation
Nina Varney, Vijayan K. Asari, Quinn Graehling
cs.CVcs.LGstat.MLarXiv:2004.11985v12020
Alzheimer's Dementia Recognition through Spontaneous Speech: The ADReSS Challenge
Saturnino Luz, Fasih Haider, Sofia de la Fuente +2
eess.AScs.LGstat.MLarXiv:2004.06833v32020
Federated learning with hierarchical clustering of local updates to improve training on non-IID data
Christopher Briggs, Zhong Fan, Peter Andras
cs.LGstat.MLarXiv:2004.11791v22020
Low-shot Learning via Covariance-Preserving Adversarial Augmentation Networks
Hang Gao, Zheng Shou, Alireza Zareian +2
cs.LGstat.MLarXiv:1810.11730v32018
Improved Deep Point Cloud Geometry Compression
Maurice Quach, Giuseppe Valenzise, Frederic Dufaux
cs.CVcs.LGeess.IVarXiv:2006.09043v22020
MedDialog: Two Large-scale Medical Dialogue Datasets
Xuehai He, Shu Chen, Zeqian Ju +10
cs.LGcs.AIcs.CLarXiv:2004.03329v22020
Adversarial Self-Supervised Contrastive Learning
Minseon Kim, Jihoon Tack, Sung Ju Hwang
cs.LGcs.CVstat.MLarXiv:2006.07589v22020
Weight Poisoning Attacks on Pre-trained Models
Keita Kurita, Paul Michel, Graham Neubig
cs.LGcs.CLcs.CRarXiv:2004.06660v12020
Soft Actor-Critic for Discrete Action Settings
Petros Christodoulou
cs.LGcs.AIstat.MLarXiv:1910.07207v22019
Rethinking the Value of Network Pruning
Zhuang Liu, Mingjie Sun, Tinghui Zhou +2
cs.LGcs.CVstat.MLarXiv:1810.05270v22018
giotto-tda: A Topological Data Analysis Toolkit for Machine Learning and Data Exploration
Guillaume Tauzin, Umberto Lupo, Lewis Tunstall +6
cs.LGmath.ATstat.MLarXiv:2004.02551v22020
DeepJSCC-f: Deep Joint Source-Channel Coding of Images with Feedback
David Burth Kurka, Deniz Gündüz
cs.ITcs.LGeess.IVarXiv:1911.11174v22019
The impact of patient clinical information on automated skin cancer detection
Andre G. C. Pacheco, Renato A. Krohling
eess.IVcs.CVcs.LGarXiv:1909.12912v12019
PointPainting: Sequential Fusion for 3D Object Detection
Sourabh Vora, Alex H. Lang, Bassam Helou +1
cs.CVcs.LGeess.IVarXiv:1911.10150v22019
From ImageNet to Image Classification: Contextualizing Progress on Benchmarks
Dimitris Tsipras, Shibani Santurkar, Logan Engstrom +2
cs.CVcs.LGstat.MLarXiv:2005.11295v12020
Integrating Scientific Knowledge with Machine Learning for Engineering and Environmental Systems
Jared Willard, Xiaowei Jia, Shaoming Xu +2
physics.comp-phcs.LGstat.MLarXiv:2003.04919v62020
COVID-CT-Dataset: A CT Scan Dataset about COVID-19
Xingyi Yang, Xuehai He, Jinyu Zhao +3
cs.LGcs.CVeess.IVarXiv:2003.13865v32020
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension
Mike Lewis, Yinhan Liu, Naman Goyal +5
cs.CLcs.LGstat.MLarXiv:1910.13461v12019
Summaries:한국어
Teaching Temporal Logics to Neural Networks
Christopher Hahn, Frederik Schmitt, Jens U. Kreber +2
cs.LOcs.AIcs.LGarXiv:2003.04218v32020
What is the State of Neural Network Pruning?
Davis Blalock, Jose Javier Gonzalez Ortiz, Jonathan Frankle +1
cs.LGstat.MLarXiv:2003.03033v12020
VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation
Jiyang Gao, Chen Sun, Hang Zhao +4
cs.CVcs.LGstat.MLarXiv:2005.04259v12020
Improving data-driven global weather prediction using deep convolutional neural networks on a cubed sphere
Jonathan A. Weyn, Dale R. Durran, Rich Caruana
physics.ao-phcs.LGstat.MLarXiv:2003.11927v12020
Deep Learning for Detecting Building Defects Using Convolutional Neural Networks
Husein Perez, Joseph H. M. Tah, Amir Mosavi
cs.CVcs.AIcs.LGarXiv:1908.04392v12019
ZeRO: Memory Optimizations Toward Training Trillion Parameter Models
Samyam Rajbhandari, Jeff Rasley, Olatunji Ruwase +1
cs.LGcs.DCstat.MLarXiv:1910.02054v32019
Self-supervised ECG Representation Learning for Emotion Recognition
Pritam Sarkar, Ali Etemad
eess.SPcs.LGstat.MLarXiv:2002.03898v22020
AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognition
Fabien Ringeval, Björn Schuller, Michel Valstar +14
cs.HCcs.CVcs.IRarXiv:1907.11510v12019
Iteratively Pruned Deep Learning Ensembles for COVID-19 Detection in Chest X-rays
Sivaramakrishnan Rajaraman, Jen Siegelman, Philip O. Alderson +3
eess.IVcs.CVcs.LGarXiv:2004.08379v32020
Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence
Sebastian Raschka, Joshua Patterson, Corey Nolet
cs.LGstat.MLarXiv:2002.04803v22020
Pre-training Tasks for Embedding-based Large-scale Retrieval
Wei-Cheng Chang, Felix X. Yu, Yin-Wen Chang +2
cs.LGcs.CLcs.IRarXiv:2002.03932v12020
Convolutional Networks with Dense Connectivity
Gao Huang, Zhuang Liu, Geoff Pleiss +2
cs.LGcs.CVstat.MLarXiv:2001.02394v12020
Universal Statistics of Fisher Information in Deep Neural Networks: Mean Field Approach
Ryo Karakida, Shotaro Akaho, Shun-ichi Amari
stat.MLcond-mat.dis-nncs.LGarXiv:1806.01316v32018
NAS evaluation is frustratingly hard
Antoine Yang, Pedro M. Esperança, Fabio M. Carlucci
cs.LGcs.CVstat.MLarXiv:1912.12522v32019
A Survey of Deep Learning Applications to Autonomous Vehicle Control
Sampo Kuutti, Richard Bowden, Yaochu Jin +2
cs.LGcs.CVeess.SYarXiv:1912.10773v12019
Learning Representations by Maximizing Mutual Information Across Views
Philip Bachman, R Devon Hjelm, William Buchwalter
cs.LGstat.MLarXiv:1906.00910v22019
Deep Affect Prediction in-the-wild: Aff-Wild Database and Challenge, Deep Architectures, and Beyond
Dimitrios Kollias, Panagiotis Tzirakis, Mihalis A. Nicolaou +5
cs.CVcs.AIcs.HCarXiv:1804.10938v52018
Towards Learning a Universal Non-Semantic Representation of Speech
Joel Shor, Aren Jansen, Ronnie Maor +7
eess.AScs.LGcs.SDarXiv:2002.12764v62020

Machine Learning (stat)

The Intrinsic Dimension of Images and Its Impact on Learning

DiffWave: A Versatile Diffusion Model for Audio Synthesis

Deep Parametric Continuous Convolutional Neural Networks

A Living Review of Machine Learning for Particle Physics

ProGen: Language Modeling for Protein Generation

Phasic Policy Gradient

Regularizing Class-wise Predictions via Self-knowledge Distillation

Autoregressive Entity Retrieval

Customer churn prediction in telecom using machine learning and social network analysis in big data platform

Parametric UMAP embeddings for representation and semi-supervised learning

Uncovering the structure of clinical EEG signals with self-supervised learning

Coarse Graining Molecular Dynamics with Graph Neural Networks

Data Movement Is All You Need: A Case Study on Optimizing Transformers

Fairwashing: the risk of rationalization

Real Time Speech Enhancement in the Waveform Domain

F*: An Interpretable Transformation of the F-measure

Benchmarking Multivariate Time Series Classification Algorithms

Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills

Freeze the Discriminator: a Simple Baseline for Fine-Tuning GANs

Towards Deeper Graph Neural Networks with Differentiable Group Normalization

Image Super-Resolution with Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining

Do Adversarially Robust ImageNet Models Transfer Better?

Challenges in Benchmarking Stream Learning Algorithms with Real-world Data

Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models

DALES: A Large-scale Aerial LiDAR Data Set for Semantic Segmentation

Alzheimer's Dementia Recognition through Spontaneous Speech: The ADReSS Challenge

Federated learning with hierarchical clustering of local updates to improve training on non-IID data

Low-shot Learning via Covariance-Preserving Adversarial Augmentation Networks

Improved Deep Point Cloud Geometry Compression

MedDialog: Two Large-scale Medical Dialogue Datasets

Adversarial Self-Supervised Contrastive Learning

Weight Poisoning Attacks on Pre-trained Models

Soft Actor-Critic for Discrete Action Settings

Rethinking the Value of Network Pruning

giotto-tda: A Topological Data Analysis Toolkit for Machine Learning and Data Exploration

DeepJSCC-f: Deep Joint Source-Channel Coding of Images with Feedback

The impact of patient clinical information on automated skin cancer detection

PointPainting: Sequential Fusion for 3D Object Detection

From ImageNet to Image Classification: Contextualizing Progress on Benchmarks

Integrating Scientific Knowledge with Machine Learning for Engineering and Environmental Systems

COVID-CT-Dataset: A CT Scan Dataset about COVID-19

BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension

Teaching Temporal Logics to Neural Networks

What is the State of Neural Network Pruning?

VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation

Improving data-driven global weather prediction using deep convolutional neural networks on a cubed sphere

Deep Learning for Detecting Building Defects Using Convolutional Neural Networks

ZeRO: Memory Optimizations Toward Training Trillion Parameter Models

Self-supervised ECG Representation Learning for Emotion Recognition

AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognition

Iteratively Pruned Deep Learning Ensembles for COVID-19 Detection in Chest X-rays

Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence

Pre-training Tasks for Embedding-based Large-scale Retrieval

Convolutional Networks with Dense Connectivity

Universal Statistics of Fisher Information in Deep Neural Networks: Mean Field Approach

NAS evaluation is frustratingly hard

A Survey of Deep Learning Applications to Autonomous Vehicle Control

Learning Representations by Maximizing Mutual Information Across Views

Deep Affect Prediction in-the-wild: Aff-Wild Database and Challenge, Deep Architectures, and Beyond

Towards Learning a Universal Non-Semantic Representation of Speech