Machine Learning

Papers filed under cs.LG 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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12,781 to 12,840 of 20,135

Deep Decoder: Concise Image Representations from Untrained Non-convolutional Networks
Reinhard Heckel, Paul Hand
cs.CVcs.LGstat.MLarXiv:1810.03982v22018
SHINE: Signed Heterogeneous Information Network Embedding for Sentiment Link Prediction
Hongwei Wang, Fuzheng Zhang, Min Hou +3
stat.MLcs.IRcs.LGarXiv:1712.00732v12017
An Overview of Deep-Learning-Based Audio-Visual Speech Enhancement and Separation
Daniel Michelsanti, Zheng-Hua Tan, Shi-Xiong Zhang +4
eess.AScs.LGeess.IVarXiv:2008.09586v22020
Benchmarking State-of-the-Art Deep Learning Software Tools
Shaohuai Shi, Qiang Wang, Pengfei Xu +1
cs.DCcs.LGarXiv:1608.07249v72016
Deep learning for determining a near-optimal topological design without any iteration
Yonggyun Yu, Taeil Hur, Jaeho Jung +1
cs.LGphysics.comp-pharXiv:1801.05463v32018
The case for 4-bit precision: k-bit Inference Scaling Laws
Tim Dettmers, Luke Zettlemoyer
cs.LGcs.NEarXiv:2212.09720v22022
Stochastic gradient descent performs variational inference, converges to limit cycles for deep networks
Pratik Chaudhari, Stefano Soatto
cs.LGcond-mat.stat-mechmath.OCarXiv:1710.11029v22017
G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering
Xiaoxin He, Yijun Tian, Yifei Sun +5
cs.LGarXiv:2402.07630v32024
Stochastic modified equations and adaptive stochastic gradient algorithms
Qianxiao Li, Cheng Tai, Weinan E
cs.LGstat.MLarXiv:1511.06251v32015
PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation
Tal Reiss, Niv Cohen, Liron Bergman +1
cs.CVcs.LGarXiv:2010.05903v32020
Additive Powers-of-Two Quantization: An Efficient Non-uniform Discretization for Neural Networks
Yuhang Li, Xin Dong, Wei Wang
cs.LGstat.MLarXiv:1909.13144v22019
Learning De-biased Representations with Biased Representations
Hyojin Bahng, Sanghyuk Chun, Sangdoo Yun +2
cs.CVcs.LGstat.MLarXiv:1910.02806v32019
Bandits with heavy tail
Sébastien Bubeck, Nicolò Cesa-Bianchi, Gábor Lugosi
stat.MLcs.LGarXiv:1209.1727v12012
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
Association of genomic subtypes of lower-grade gliomas with shape features automatically extracted by a deep learning algorithm
Mateusz Buda, Ashirbani Saha, Maciej A Mazurowski
eess.IVcs.CVcs.LGarXiv:1906.03720v12019
Federated Learning with Compression: Unified Analysis and Sharp Guarantees
Farzin Haddadpour, Mohammad Mahdi Kamani, Aryan Mokhtari +1
cs.LGcs.DCstat.MLarXiv:2007.01154v22020
Uncertainty Guided Multi-Scale Residual Learning-using a Cycle Spinning CNN for Single Image De-Raining
Rajeev Yasarla, Vishal M. Patel
cs.CVcs.LGeess.IVarXiv:1906.11129v12019
Spherical Fourier Neural Operators: Learning Stable Dynamics on the Sphere
Boris Bonev, Thorsten Kurth, Christian Hundt +4
cs.LGmath.NAphysics.ao-pharXiv:2306.03838v12023
WoodScape: A multi-task, multi-camera fisheye dataset for autonomous driving
Senthil Yogamani, Ciaran Hughes, Jonathan Horgan +14
cs.CVcs.AIcs.LGarXiv:1905.01489v32019
GENESIS: Generative Scene Inference and Sampling with Object-Centric Latent Representations
Martin Engelcke, Adam R. Kosiorek, Oiwi Parker Jones +1
cs.LGcs.CVcs.NEarXiv:1907.13052v42019
User-friendly guarantees for the Langevin Monte Carlo with inaccurate gradient
Arnak S. Dalalyan, Avetik G. Karagulyan
math.STcs.LGmath.PRarXiv:1710.00095v42017
Character-based Neural Machine Translation
Marta R. Costa-Jussà, José A. R. Fonollosa
cs.CLcs.LGcs.NEarXiv:1603.00810v32016
Collaborative Filtering and the Missing at Random Assumption
Benjamin Marlin, Richard S. Zemel, Sam Roweis +1
cs.LGcs.IRstat.MLarXiv:1206.5267v12012
Learning Gradient Fields for Shape Generation
Ruojin Cai, Guandao Yang, Hadar Averbuch-Elor +4
cs.CVcs.LGarXiv:2008.06520v22020
Speaker Diarization with LSTM
Quan Wang, Carlton Downey, Li Wan +2
eess.AScs.LGcs.SDarXiv:1710.10468v72017
Predict Responsibly: Improving Fairness and Accuracy by Learning to Defer
David Madras, Toniann Pitassi, Richard Zemel
stat.MLcs.LGarXiv:1711.06664v32017
Safe Testing
Peter Grünwald, Rianne de Heide, Wouter Koolen
math.STcs.ITcs.LGarXiv:1906.07801v52019
Episodic Memory in Lifelong Language Learning
Cyprien de Masson d'Autume, Sebastian Ruder, Lingpeng Kong +1
cs.LGcs.CLstat.MLarXiv:1906.01076v32019
Certified Robustness to Adversarial Word Substitutions
Robin Jia, Aditi Raghunathan, Kerem Göksel +1
cs.CLcs.LGarXiv:1909.00986v12019
Pocket2Mol: Efficient Molecular Sampling Based on 3D Protein Pockets
Xingang Peng, Shitong Luo, Jiaqi Guan +3
cs.LGq-bio.BMarXiv:2205.07249v22022
Onsets and Frames: Dual-Objective Piano Transcription
Curtis Hawthorne, Erich Elsen, Jialin Song +6
cs.SDcs.LGeess.ASarXiv:1710.11153v22017
Unsupervised Semantic Segmentation by Distilling Feature Correspondences
Mark Hamilton, Zhoutong Zhang, Bharath Hariharan +2
cs.CVcs.AIcs.LGarXiv:2203.08414v12022
Physics-informed neural networks for inverse problems in supersonic flows
Ameya D. Jagtap, Zhiping Mao, Nikolaus Adams +1
math.NAcs.LGarXiv:2202.11821v12022
Fine-tuning language models to find agreement among humans with diverse preferences
Michiel A. Bakker, Martin J. Chadwick, Hannah R. Sheahan +8
cs.LGcs.CLarXiv:2211.15006v12022
DexMV: Imitation Learning for Dexterous Manipulation from Human Videos
Yuzhe Qin, Yueh-Hua Wu, Shaowei Liu +4
cs.LGcs.CVcs.ROarXiv:2108.05877v52021
Decentralized Federated Learning: A Survey and Perspective
Liangqi Yuan, Ziran Wang, Lichao Sun +2
cs.LGcs.CYcs.DCarXiv:2306.01603v22023
Adversarial Examples Are a Natural Consequence of Test Error in Noise
Nic Ford, Justin Gilmer, Nicolas Carlini +1
cs.LGcs.CVstat.MLarXiv:1901.10513v12019
Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks
Difan Zou, Ziniu Hu, Yewen Wang +3
cs.LGcs.SIstat.MLarXiv:1911.07323v12019
Locally Weighted Ensemble Clustering
Dong Huang, Chang-Dong Wang, Jian-Huang Lai
cs.LGarXiv:1605.05011v32016
OmniH2O: Universal and Dexterous Human-to-Humanoid Whole-Body Teleoperation and Learning
Tairan He, Zhengyi Luo, Xialin He +6
cs.ROcs.CVcs.LGarXiv:2406.08858v12024
CVEfixes: Automated Collection of Vulnerabilities and Their Fixes from Open-Source Software
Guru Prasad Bhandari, Amara Naseer, Leon Moonen
cs.SEcs.AIcs.CRarXiv:2107.08760v12021
Why M Heads are Better than One: Training a Diverse Ensemble of Deep Networks
Stefan Lee, Senthil Purushwalkam, Michael Cogswell +2
cs.CVcs.LGcs.NEarXiv:1511.06314v12015
The Role of Permutation Invariance in Linear Mode Connectivity of Neural Networks
Rahim Entezari, Hanie Sedghi, Olga Saukh +1
cs.LGarXiv:2110.06296v22021
Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design
Michael Dennis, Natasha Jaques, Eugene Vinitsky +4
cs.LGcs.AIcs.MAarXiv:2012.02096v22020
Distributed Online Optimization in Dynamic Environments Using Mirror Descent
Shahin Shahrampour, Ali Jadbabaie
math.OCcs.DCcs.LGarXiv:1609.02845v12016
Structured sparsity through convex optimization
Francis Bach, Rodolphe Jenatton, Julien Mairal +1
cs.LGstat.MLarXiv:1109.2397v22011
Physics-Informed Neural Networks for Power Systems
George S. Misyris, Andreas Venzke, Spyros Chatzivasileiadis
eess.SYcs.LGeess.SParXiv:1911.03737v32019
Machine Learning-Based Heart Disease Diagnosis: A Systematic Literature Review
Md Manjurul Ahsan, Zahed Siddique
cs.LGarXiv:2112.06459v12021
Fuzz4All: Universal Fuzzing with Large Language Models
Chunqiu Steven Xia, Matteo Paltenghi, Jia Le Tian +2
cs.SEcs.LGarXiv:2308.04748v32023
Using Fast Weights to Attend to the Recent Past
Jimmy Ba, Geoffrey Hinton, Volodymyr Mnih +2
stat.MLcs.LGcs.NEarXiv:1610.06258v32016
Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts
Xiaoming Shi, Shiyu Wang, Yuqi Nie +4
cs.LGcs.AIarXiv:2409.16040v42024
Graph-to-Sequence Learning using Gated Graph Neural Networks
Daniel Beck, Gholamreza Haffari, Trevor Cohn
cs.CLcs.LGarXiv:1806.09835v12018
Rethinking Vision Transformers for MobileNet Size and Speed
Yanyu Li, Ju Hu, Yang Wen +5
cs.CVcs.AIcs.LGarXiv:2212.08059v22022
Continuous Inverse Optimal Control with Locally Optimal Examples
Sergey Levine, Vladlen Koltun
cs.LGcs.AIstat.MLarXiv:1206.4617v12012
Differentially Private Learning Needs Better Features (or Much More Data)
Florian Tramèr, Dan Boneh
cs.LGcs.CRstat.MLarXiv:2011.11660v32020
Asymptotically Exact, Embarrassingly Parallel MCMC
Willie Neiswanger, Chong Wang, Eric Xing
stat.MLcs.DCcs.LGarXiv:1311.4780v22013
Neural Radiance Flow for 4D View Synthesis and Video Processing
Yilun Du, Yinan Zhang, Hong-Xing Yu +2
cs.CVcs.LGcs.ROarXiv:2012.09790v22020
Interpretable End-to-end Urban Autonomous Driving with Latent Deep Reinforcement Learning
Jianyu Chen, Shengbo Eben Li, Masayoshi Tomizuka
cs.ROcs.CVcs.LGarXiv:2001.08726v32020
FengWu: Pushing the Skillful Global Medium-range Weather Forecast beyond 10 Days Lead
Kang Chen, Tao Han, Junchao Gong +11
cs.AIcs.LGphysics.ao-pharXiv:2304.02948v12023
Edge YOLO: Real-Time Intelligent Object Detection System Based on Edge-Cloud Cooperation in Autonomous Vehicles
Siyuan Liang, Hao Wu
cs.CVcs.LGeess.SParXiv:2205.14942v12022

Machine Learning

Deep Decoder: Concise Image Representations from Untrained Non-convolutional Networks

SHINE: Signed Heterogeneous Information Network Embedding for Sentiment Link Prediction

An Overview of Deep-Learning-Based Audio-Visual Speech Enhancement and Separation

Benchmarking State-of-the-Art Deep Learning Software Tools

Deep learning for determining a near-optimal topological design without any iteration

The case for 4-bit precision: k-bit Inference Scaling Laws

Stochastic gradient descent performs variational inference, converges to limit cycles for deep networks

G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering

Stochastic modified equations and adaptive stochastic gradient algorithms

PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation

Additive Powers-of-Two Quantization: An Efficient Non-uniform Discretization for Neural Networks

Learning De-biased Representations with Biased Representations

Bandits with heavy tail

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

Association of genomic subtypes of lower-grade gliomas with shape features automatically extracted by a deep learning algorithm

Federated Learning with Compression: Unified Analysis and Sharp Guarantees

Uncertainty Guided Multi-Scale Residual Learning-using a Cycle Spinning CNN for Single Image De-Raining

Spherical Fourier Neural Operators: Learning Stable Dynamics on the Sphere

WoodScape: A multi-task, multi-camera fisheye dataset for autonomous driving

GENESIS: Generative Scene Inference and Sampling with Object-Centric Latent Representations

User-friendly guarantees for the Langevin Monte Carlo with inaccurate gradient

Character-based Neural Machine Translation

Collaborative Filtering and the Missing at Random Assumption

Learning Gradient Fields for Shape Generation

Speaker Diarization with LSTM

Predict Responsibly: Improving Fairness and Accuracy by Learning to Defer

Safe Testing

Episodic Memory in Lifelong Language Learning

Certified Robustness to Adversarial Word Substitutions

Pocket2Mol: Efficient Molecular Sampling Based on 3D Protein Pockets

Onsets and Frames: Dual-Objective Piano Transcription

Unsupervised Semantic Segmentation by Distilling Feature Correspondences

Physics-informed neural networks for inverse problems in supersonic flows

Fine-tuning language models to find agreement among humans with diverse preferences

DexMV: Imitation Learning for Dexterous Manipulation from Human Videos

Decentralized Federated Learning: A Survey and Perspective

Adversarial Examples Are a Natural Consequence of Test Error in Noise

Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks

Locally Weighted Ensemble Clustering

OmniH2O: Universal and Dexterous Human-to-Humanoid Whole-Body Teleoperation and Learning

CVEfixes: Automated Collection of Vulnerabilities and Their Fixes from Open-Source Software

Why M Heads are Better than One: Training a Diverse Ensemble of Deep Networks

The Role of Permutation Invariance in Linear Mode Connectivity of Neural Networks

Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design

Distributed Online Optimization in Dynamic Environments Using Mirror Descent

Structured sparsity through convex optimization

Physics-Informed Neural Networks for Power Systems

Machine Learning-Based Heart Disease Diagnosis: A Systematic Literature Review

Fuzz4All: Universal Fuzzing with Large Language Models

Using Fast Weights to Attend to the Recent Past

Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts

Graph-to-Sequence Learning using Gated Graph Neural Networks

Rethinking Vision Transformers for MobileNet Size and Speed

Continuous Inverse Optimal Control with Locally Optimal Examples

Differentially Private Learning Needs Better Features (or Much More Data)

Asymptotically Exact, Embarrassingly Parallel MCMC

Neural Radiance Flow for 4D View Synthesis and Video Processing

Interpretable End-to-end Urban Autonomous Driving with Latent Deep Reinforcement Learning

FengWu: Pushing the Skillful Global Medium-range Weather Forecast beyond 10 Days Lead

Edge YOLO: Real-Time Intelligent Object Detection System Based on Edge-Cloud Cooperation in Autonomous Vehicles