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.

Search paper metadata (including unsummarized papers)

9,121 to 9,180 of 9,650

Emergence of grid-like representations by training recurrent neural networks to perform spatial localization
Christopher J. Cueva, Xue-Xin Wei
q-bio.NCcs.AIcs.NEarXiv:1803.07770v12018
Deep Learning on FPGAs: Past, Present, and Future
Griffin Lacey, Graham W. Taylor, Shawki Areibi
cs.DCcs.LGstat.MLarXiv:1602.04283v12016
Toward Multimodal Image-to-Image Translation
Jun-Yan Zhu, Richard Zhang, Deepak Pathak +4
cs.CVcs.GRstat.MLarXiv:1711.11586v42017
Learning Confidence for Out-of-Distribution Detection in Neural Networks
Terrance DeVries, Graham W. Taylor
stat.MLcs.LGarXiv:1802.04865v12018
Deep Convolutional Neural Networks for Raman Spectrum Recognition: A Unified Solution
Jinchao Liu, Margarita Osadchy, Lorna Ashton +3
cs.LGstat.MLarXiv:1708.09022v12017
Summaries:한국어
Deep Video Generation, Prediction and Completion of Human Action Sequences
Haoye Cai, Chunyan Bai, Yu-Wing Tai +1
cs.CVstat.MLarXiv:1711.08682v32017
Learning to Detect Sepsis with a Multitask Gaussian Process RNN Classifier
Joseph Futoma, Sanjay Hariharan, Katherine Heller
stat.MLstat.APstat.MEarXiv:1706.04152v12017
Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems
Maziar Raissi, Paris Perdikaris, George Em Karniadakis
math.DSmath.NAnlin.CDarXiv:1801.01236v12018
RADNET: Radiologist Level Accuracy using Deep Learning for HEMORRHAGE detection in CT Scans
Monika Grewal, Muktabh Mayank Srivastava, Pulkit Kumar +1
cs.CVstat.MLarXiv:1710.04934v22017
Development and evaluation of a deep learning model for protein-ligand binding affinity prediction
Marta M. Stepniewska-Dziubinska, Piotr Zielenkiewicz, Pawel Siedlecki
stat.MLcs.LGq-bio.BMarXiv:1712.07042v22017
Thermalizer: Stable autoregressive neural emulation of spatiotemporal chaos
Chris Pedersen, Laure Zanna, Joan Bruna
cs.LGstat.MLarXiv:2503.18731v22025
Learning Sparse Neural Networks through $L_0$ Regularization
Christos Louizos, Max Welling, Diederik P. Kingma
stat.MLcs.LGarXiv:1712.01312v22017
Explainable Artificial Intelligence: Understanding, Visualizing and Interpreting Deep Learning Models
Wojciech Samek, Thomas Wiegand, Klaus-Robert Müller
cs.AIcs.CYcs.NEarXiv:1708.08296v12017
Toward universal steering and monitoring of AI models
Daniel Beaglehole, Adityanarayanan Radhakrishnan, Enric Boix-Adserà +1
cs.CLcs.AIstat.MLarXiv:2502.03708v22025
CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning
Pranav Rajpurkar, Jeremy Irvin, Kaylie Zhu +9
cs.CVcs.LGstat.MLarXiv:1711.05225v32017
Delving into adversarial attacks on deep policies
Jernej Kos, Dawn Song
stat.MLcs.LGarXiv:1705.06452v12017
Data Augmentation Generative Adversarial Networks
Antreas Antoniou, Amos Storkey, Harrison Edwards
stat.MLcs.CVcs.LGarXiv:1711.04340v32017
Application of machine learning for hematological diagnosis
Gregor Gunčar, Matjaž Kukar, Mateja Notar +4
stat.MLarXiv:1708.00253v12017
Clustering with Deep Learning: Taxonomy and New Methods
Elie Aljalbout, Vladimir Golkov, Yawar Siddiqui +2
cs.LGcs.AIcs.CVarXiv:1801.07648v22018
Iterative PET Image Reconstruction Using Convolutional Neural Network Representation
Kuang Gong, Jiahui Guan, Kyungsang Kim +4
cs.CVphysics.med-phstat.MLarXiv:1710.03344v12017
Crowdsourcing Multiple Choice Science Questions
Johannes Welbl, Nelson F. Liu, Matt Gardner
cs.HCcs.AIcs.CLarXiv:1707.06209v12017
Evolution Strategies as a Scalable Alternative to Reinforcement Learning
Tim Salimans, Jonathan Ho, Xi Chen +2
stat.MLcs.AIcs.LGarXiv:1703.03864v22017
A Note on the Inception Score
Shane Barratt, Rishi Sharma
stat.MLcs.LGarXiv:1801.01973v22018
SemEval 2017 Task 10: ScienceIE - Extracting Keyphrases and Relations from Scientific Publications
Isabelle Augenstein, Mrinal Das, Sebastian Riedel +2
cs.CLcs.AIstat.MLarXiv:1704.02853v32017
Adversarial examples for generative models
Jernej Kos, Ian Fischer, Dawn Song
stat.MLcs.LGarXiv:1702.06832v12017
An Overview of Multi-Task Learning in Deep Neural Networks
Sebastian Ruder
cs.LGcs.AIstat.MLarXiv:1706.05098v12017
Adversarial Feature Matching for Text Generation
Yizhe Zhang, Zhe Gan, Kai Fan +4
stat.MLcs.CLcs.LGarXiv:1706.03850v32017
On the Fundamental Impossibility of Hallucination Control in Large Language Models
Michał P. Karpowicz
stat.MLcs.AIcs.CLarXiv:2506.06382v82025
Real Time Image Saliency for Black Box Classifiers
Piotr Dabkowski, Yarin Gal
stat.MLarXiv:1705.07857v12017
Deep learning with convolutional neural networks for decoding and visualization of EEG pathology
Robin Tibor Schirrmeister, Lukas Gemein, Katharina Eggensperger +2
cs.LGcs.NEstat.MLarXiv:1708.08012v32017
Parallel-Data-Free Voice Conversion Using Cycle-Consistent Adversarial Networks
Takuhiro Kaneko, Hirokazu Kameoka
stat.MLcs.SDeess.ASarXiv:1711.11293v22017
Neural Style Transfer: A Review
Yongcheng Jing, Yezhou Yang, Zunlei Feng +3
cs.CVcs.NEeess.IVarXiv:1705.04058v72017
Using millions of emoji occurrences to learn any-domain representations for detecting sentiment, emotion and sarcasm
Bjarke Felbo, Alan Mislove, Anders Søgaard +2
stat.MLcs.LGarXiv:1708.00524v22017
Interpretable Explanations of Black Boxes by Meaningful Perturbation
Ruth Fong, Andrea Vedaldi
cs.CVcs.AIcs.LGarXiv:1704.03296v42017
Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks
Shiyu Liang, Yixuan Li, R. Srikant
cs.LGstat.MLarXiv:1706.02690v52017
An Army of Me: Sockpuppets in Online Discussion Communities
Srijan Kumar, Justin Cheng, Jure Leskovec +1
cs.SIcs.CYphysics.soc-pharXiv:1703.07355v12017
Sequence-to-Sequence Models Can Directly Translate Foreign Speech
Ron J. Weiss, Jan Chorowski, Navdeep Jaitly +2
cs.CLcs.LGstat.MLarXiv:1703.08581v22017
Count-ception: Counting by Fully Convolutional Redundant Counting
Joseph Paul Cohen, Genevieve Boucher, Craig A. Glastonbury +2
cs.CVcs.LGstat.MLarXiv:1703.08710v22017
Birth of a Transformer: A Memory Viewpoint
Alberto Bietti, Vivien Cabannes, Diane Bouchacourt +2
stat.MLcs.CLcs.LGarXiv:2306.00802v22023
One Model To Learn Them All
Lukasz Kaiser, Aidan N. Gomez, Noam Shazeer +4
cs.LGstat.MLarXiv:1706.05137v12017
RL$^2$: Fast Reinforcement Learning via Slow Reinforcement Learning
Yan Duan, John Schulman, Xi Chen +3
cs.AIcs.LGcs.NEarXiv:1611.02779v22016
PassGAN: A Deep Learning Approach for Password Guessing
Briland Hitaj, Paolo Gasti, Giuseppe Ateniese +1
cs.CRcs.LGstat.MLarXiv:1709.00440v32017
Is Behavior Cloning All You Need? Understanding Horizon in Imitation Learning
Dylan J. Foster, Adam Block, Dipendra Misra
cs.LGcs.AImath.STarXiv:2407.15007v22024
Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction
Xiaolei Ma, Zhuang Dai, Zhengbing He +3
cs.LGstat.MLarXiv:1701.04245v42017
Shape-Based Approach to Household Load Curve Clustering and Prediction
Thanchanok Teeraratkul, Daniel O'Neill, Sanjay Lall
stat.MLarXiv:1702.01414v12017
By-passing the Kohn-Sham equations with machine learning
Felix Brockherde, Leslie Vogt, Li Li +3
physics.comp-phcs.LGphysics.chem-pharXiv:1609.02815v32016
Dynamic Deep Neural Networks: Optimizing Accuracy-Efficiency Trade-offs by Selective Execution
Lanlan Liu, Jia Deng
cs.LGstat.MLarXiv:1701.00299v32017
Clustering Algorithms: A Comparative Approach
Mayra Z. Rodriguez, Cesar H. Comin, Dalcimar Casanova +4
cs.LGstat.MLarXiv:1612.08388v12016
Prototypical Networks for Few-shot Learning
Jake Snell, Kevin Swersky, Richard S. Zemel
cs.LGstat.MLarXiv:1703.05175v22017
Binarized Convolutional Landmark Localizers for Human Pose Estimation and Face Alignment with Limited Resources
Adrian Bulat, Georgios Tzimiropoulos
cs.CVcs.LGstat.MLarXiv:1703.00862v22017
On the (Statistical) Detection of Adversarial Examples
Kathrin Grosse, Praveen Manoharan, Nicolas Papernot +2
cs.CRcs.LGstat.MLarXiv:1702.06280v22017
Conditional Image Synthesis With Auxiliary Classifier GANs
Augustus Odena, Christopher Olah, Jonathon Shlens
stat.MLcs.CVarXiv:1610.09585v42016
DeepSurv: Personalized Treatment Recommender System Using A Cox Proportional Hazards Deep Neural Network
Jared Katzman, Uri Shaham, Jonathan Bates +3
stat.MLcs.NEarXiv:1606.00931v32016
Toward Controlled Generation of Text
Zhiting Hu, Zichao Yang, Xiaodan Liang +2
cs.LGcs.AIcs.CLarXiv:1703.00955v42017
An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks
Ian J. Goodfellow, Mehdi Mirza, Da Xiao +2
stat.MLcs.LGcs.NEarXiv:1312.6211v32013
Learning to Invert: Signal Recovery via Deep Convolutional Networks
Ali Mousavi, Richard G. Baraniuk
stat.MLcs.AIcs.ITarXiv:1701.03891v12017
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
Christian Ledig, Lucas Theis, Ferenc Huszar +8
cs.CVstat.MLarXiv:1609.04802v52016
Building Machines That Learn and Think Like People
Brenden M. Lake, Tomer D. Ullman, Joshua B. Tenenbaum +1
cs.AIcs.CVcs.LGarXiv:1604.00289v32016
Sequential Short-Text Classification with Recurrent and Convolutional Neural Networks
Ji Young Lee, Franck Dernoncourt
cs.CLcs.AIcs.LGarXiv:1603.03827v12016
Character-based Neural Machine Translation
Marta R. Costa-Jussà, José A. R. Fonollosa
cs.CLcs.LGcs.NEarXiv:1603.00810v32016

Machine Learning (stat)

Emergence of grid-like representations by training recurrent neural networks to perform spatial localization

Deep Learning on FPGAs: Past, Present, and Future

Toward Multimodal Image-to-Image Translation

Learning Confidence for Out-of-Distribution Detection in Neural Networks

Deep Convolutional Neural Networks for Raman Spectrum Recognition: A Unified Solution

Deep Video Generation, Prediction and Completion of Human Action Sequences

Learning to Detect Sepsis with a Multitask Gaussian Process RNN Classifier

Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems

RADNET: Radiologist Level Accuracy using Deep Learning for HEMORRHAGE detection in CT Scans

Development and evaluation of a deep learning model for protein-ligand binding affinity prediction

Thermalizer: Stable autoregressive neural emulation of spatiotemporal chaos

Learning Sparse Neural Networks through $L_0$ Regularization

Explainable Artificial Intelligence: Understanding, Visualizing and Interpreting Deep Learning Models

Toward universal steering and monitoring of AI models

CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning

Delving into adversarial attacks on deep policies

Data Augmentation Generative Adversarial Networks

Application of machine learning for hematological diagnosis

Clustering with Deep Learning: Taxonomy and New Methods

Iterative PET Image Reconstruction Using Convolutional Neural Network Representation

Crowdsourcing Multiple Choice Science Questions

Evolution Strategies as a Scalable Alternative to Reinforcement Learning

A Note on the Inception Score

SemEval 2017 Task 10: ScienceIE - Extracting Keyphrases and Relations from Scientific Publications

Adversarial examples for generative models

An Overview of Multi-Task Learning in Deep Neural Networks

Adversarial Feature Matching for Text Generation

On the Fundamental Impossibility of Hallucination Control in Large Language Models

Real Time Image Saliency for Black Box Classifiers

Deep learning with convolutional neural networks for decoding and visualization of EEG pathology

Parallel-Data-Free Voice Conversion Using Cycle-Consistent Adversarial Networks

Neural Style Transfer: A Review

Using millions of emoji occurrences to learn any-domain representations for detecting sentiment, emotion and sarcasm

Interpretable Explanations of Black Boxes by Meaningful Perturbation

Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks

An Army of Me: Sockpuppets in Online Discussion Communities

Sequence-to-Sequence Models Can Directly Translate Foreign Speech

Count-ception: Counting by Fully Convolutional Redundant Counting

Birth of a Transformer: A Memory Viewpoint

One Model To Learn Them All

RL$^2$: Fast Reinforcement Learning via Slow Reinforcement Learning

PassGAN: A Deep Learning Approach for Password Guessing

Is Behavior Cloning All You Need? Understanding Horizon in Imitation Learning

Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction

Shape-Based Approach to Household Load Curve Clustering and Prediction

By-passing the Kohn-Sham equations with machine learning

Dynamic Deep Neural Networks: Optimizing Accuracy-Efficiency Trade-offs by Selective Execution

Clustering Algorithms: A Comparative Approach

Prototypical Networks for Few-shot Learning

Binarized Convolutional Landmark Localizers for Human Pose Estimation and Face Alignment with Limited Resources

On the (Statistical) Detection of Adversarial Examples

Conditional Image Synthesis With Auxiliary Classifier GANs

DeepSurv: Personalized Treatment Recommender System Using A Cox Proportional Hazards Deep Neural Network

Toward Controlled Generation of Text

An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks

Learning to Invert: Signal Recovery via Deep Convolutional Networks

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

Building Machines That Learn and Think Like People

Sequential Short-Text Classification with Recurrent and Convolutional Neural Networks

Character-based Neural Machine Translation