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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13,921 to 13,980 of 20,192

Visual Classification via Description from Large Language Models
Sachit Menon, Carl Vondrick
cs.CVcs.LGarXiv:2210.07183v22022
Local Differential Privacy based Federated Learning for Internet of Things
Yang Zhao, Jun Zhao, Mengmeng Yang +5
cs.CRcs.LGarXiv:2004.08856v22020
Predicting Station-level Hourly Demands in a Large-scale Bike-sharing Network: A Graph Convolutional Neural Network Approach
Lei Lin, Zhengbing He, Srinivas Peeta
stat.MLcs.LGarXiv:1712.04997v22017
Arrive and Survive: Scaling Safe Goal-Conditioned Policy Learning from One-Bit Failure Signals
Guopeng Li, Yiyang Duan, Yiru Jiao +1
cs.LGcs.ROarXiv:2608.26571v12026
Making Latent Evolution Explicit: Operator-Structured Transitions for World Action Models
Xiaoxiao Lu, Yunlong Dong, Jiahao Shi +1
cs.LGarXiv:2608.27259v12026
Spectral Norm Regularization for Improving the Generalizability of Deep Learning
Yuichi Yoshida, Takeru Miyato
stat.MLcs.LGarXiv:1705.10941v12017
Word Representations via Gaussian Embedding
Luke Vilnis, Andrew McCallum
cs.CLcs.LGarXiv:1412.6623v42014
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
Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning
Elias Frantar, Sidak Pal Singh, Dan Alistarh
cs.LGarXiv:2208.11580v22022
PEBBLE: Feedback-Efficient Interactive Reinforcement Learning via Relabeling Experience and Unsupervised Pre-training
Kimin Lee, Laura Smith, Pieter Abbeel
cs.LGcs.AIarXiv:2106.05091v12021
Experience-driven Networking: A Deep Reinforcement Learning based Approach
Zhiyuan Xu, Jian Tang, Jingsong Meng +4
cs.NIcs.AIcs.LGarXiv:1801.05757v12018
Deep Variational Bayes Filters: Unsupervised Learning of State Space Models from Raw Data
Maximilian Karl, Maximilian Soelch, Justin Bayer +1
stat.MLcs.LGeess.SYarXiv:1605.06432v32016
A Survey of Deep Meta-Learning
Mike Huisman, Jan N. van Rijn, Aske Plaat
cs.LGcs.AIstat.MLarXiv:2010.03522v22020
RMP-SNN: Residual Membrane Potential Neuron for Enabling Deeper High-Accuracy and Low-Latency Spiking Neural Network
Bing Han, Gopalakrishnan Srinivasan, Kaushik Roy
cs.NEcs.CVcs.LGarXiv:2003.01811v22020
Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble
Gaon An, Seungyong Moon, Jang-Hyun Kim +1
cs.LGcs.AIarXiv:2110.01548v22021
Hyperbolic Image Embeddings
Valentin Khrulkov, Leyla Mirvakhabova, Evgeniya Ustinova +2
cs.CVcs.LGarXiv:1904.02239v22019
High Dimensional Bayesian Optimisation and Bandits via Additive Models
Kirthevasan Kandasamy, Jeff Schneider, Barnabas Poczos
stat.MLcs.LGarXiv:1503.01673v32015
Learnable latent embeddings for joint behavioral and neural analysis
Steffen Schneider, Jin Hwa Lee, Mackenzie Weygandt Mathis
cs.LGq-bio.NCq-bio.QMarXiv:2204.00673v22022
InstaFlow: One Step is Enough for High-Quality Diffusion-Based Text-to-Image Generation
Xingchao Liu, Xiwen Zhang, Jianzhu Ma +2
cs.LGcs.CVarXiv:2309.06380v22023
Mitigating Neural Network Overconfidence with Logit Normalization
Hongxin Wei, Renchunzi Xie, Hao Cheng +3
cs.LGarXiv:2205.09310v22022
Identity Matters in Deep Learning
Moritz Hardt, Tengyu Ma
cs.LGcs.NEstat.MLarXiv:1611.04231v32016
MimicGen: A Data Generation System for Scalable Robot Learning using Human Demonstrations
Ajay Mandlekar, Soroush Nasiriany, Bowen Wen +5
cs.ROcs.AIcs.CVarXiv:2310.17596v12023
Beyond Parity: Fairness Objectives for Collaborative Filtering
Sirui Yao, Bert Huang
cs.IRcs.AIcs.LGarXiv:1705.08804v22017
Preserving Statistical Validity in Adaptive Data Analysis
Cynthia Dwork, Vitaly Feldman, Moritz Hardt +3
cs.LGcs.DSarXiv:1411.2664v32014
DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models
Yung-Sung Chuang, Yujia Xie, Hongyin Luo +3
cs.CLcs.AIcs.LGarXiv:2309.03883v22023
What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning
Wei Liu, Weihao Zeng, Keqing He +2
cs.CLcs.AIcs.LGarXiv:2312.15685v22023
Programmatically Interpretable Reinforcement Learning
Abhinav Verma, Vijayaraghavan Murali, Rishabh Singh +2
cs.LGcs.AIcs.PLarXiv:1804.02477v32018
The Contextual Loss for Image Transformation with Non-Aligned Data
Roey Mechrez, Itamar Talmi, Lihi Zelnik-Manor
cs.CVcs.LGarXiv:1803.02077v42018
Decoupled Neural Interfaces using Synthetic Gradients
Max Jaderberg, Wojciech Marian Czarnecki, Simon Osindero +4
cs.LGarXiv:1608.05343v22016
Computing a Nonnegative Matrix Factorization -- Provably
Sanjeev Arora, Rong Ge, Ravi Kannan +1
cs.DScs.LGarXiv:1111.0952v12011
BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search
Colin White, Willie Neiswanger, Yash Savani
cs.LGcs.NEstat.MLarXiv:1910.11858v32019
Neural Lyapunov Control
Ya-Chien Chang, Nima Roohi, Sicun Gao
cs.LGcs.NEcs.ROarXiv:2005.00611v42020
Bridging short- and medium-range weather forecasting with machine learning
Timothy A. Smith, Mariah Pope, Sergey Frolov +4
physics.ao-phcs.LGarXiv:2608.26822v12026
Sparse Feature Circuits: Discovering and Editing Interpretable Causal Graphs in Language Models
Samuel Marks, Can Rager, Eric J. Michaud +3
cs.LGcs.AIcs.CLarXiv:2403.19647v32024
Self-Supervised Representation Learning: Introduction, Advances and Challenges
Linus Ericsson, Henry Gouk, Chen Change Loy +1
cs.LGcs.CVstat.MLarXiv:2110.09327v12021
Highly Scalable Deep Learning Training System with Mixed-Precision: Training ImageNet in Four Minutes
Xianyan Jia, Shutao Song, Wei He +11
cs.LGcs.DCstat.MLarXiv:1807.11205v12018
MultiMAE: Multi-modal Multi-task Masked Autoencoders
Roman Bachmann, David Mizrahi, Andrei Atanov +1
cs.CVcs.LGarXiv:2204.01678v12022
PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts
Stephen H. Bach, Victor Sanh, Zheng-Xin Yong +24
cs.LGcs.CLarXiv:2202.01279v32022
Real-World Humanoid Locomotion with Reinforcement Learning
Ilija Radosavovic, Tete Xiao, Bike Zhang +3
cs.ROcs.LGarXiv:2303.03381v22023
Heterogeneous Graph Neural Networks for Malicious Account Detection
Ziqi Liu, Chaochao Chen, Xinxing Yang +3
cs.LGcs.CRstat.MLarXiv:2002.12307v12020
CURE: Code-Aware Neural Machine Translation for Automatic Program Repair
Nan Jiang, Thibaud Lutellier, Lin Tan
cs.SEcs.AIcs.LGarXiv:2103.00073v42021
Adversarial Neuron Pruning Purifies Backdoored Deep Models
Dongxian Wu, Yisen Wang
cs.LGcs.CRcs.CVarXiv:2110.14430v12021
DRUM: End-To-End Differentiable Rule Mining On Knowledge Graphs
Ali Sadeghian, Mohammadreza Armandpour, Patrick Ding +1
cs.LGcs.LOstat.MLarXiv:1911.00055v12019
You Only Look at One Sequence: Rethinking Transformer in Vision through Object Detection
Yuxin Fang, Bencheng Liao, Xinggang Wang +5
cs.CVcs.AIcs.LGarXiv:2106.00666v32021
MetricGAN: Generative Adversarial Networks based Black-box Metric Scores Optimization for Speech Enhancement
Szu-Wei Fu, Chien-Feng Liao, Yu Tsao +1
cs.SDcs.LGeess.ASarXiv:1905.04874v12019
StarGAN-VC: Non-parallel many-to-many voice conversion with star generative adversarial networks
Hirokazu Kameoka, Takuhiro Kaneko, Kou Tanaka +1
cs.SDcs.LGeess.ASarXiv:1806.02169v22018
A Reliable Effective Terascale Linear Learning System
Alekh Agarwal, Olivier Chapelle, Miroslav Dudik +1
cs.LGstat.MLarXiv:1110.4198v32011
Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models
Fan Bao, Chongxuan Li, Jun Zhu +1
cs.LGarXiv:2201.06503v32022
Descent-to-Delete: Gradient-Based Methods for Machine Unlearning
Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi
stat.MLcs.LGarXiv:2007.02923v12020
How Language Models Organize and Structure Moral Knowledge
Orion Reblitz-Richardson
cs.CLcs.AIcs.LGarXiv:2608.27402v12026
Anomaly Detection using One-Class Neural Networks
Raghavendra Chalapathy, Aditya Krishna Menon, Sanjay Chawla
cs.LGcs.NEstat.MLarXiv:1802.06360v22018
Learning a Continuous Sepsis Severity Score Without Hour-by-Hour Supervision: A Two-Site Retrospective Study
Kevin Zhu, Ryan Zhang, Baraa Abed +18
cs.AIcs.LGarXiv:2608.27421v12026
Interpretability of machine learning based prediction models in healthcare
Gregor Stiglic, Primoz Kocbek, Nino Fijacko +3
cs.LGstat.MLarXiv:2002.08596v22020
Entity-Based Knowledge Conflicts in Question Answering
Shayne Longpre, Kartik Perisetla, Anthony Chen +3
cs.CLcs.LGarXiv:2109.05052v22021
High-Quality Self-Supervised Deep Image Denoising
Samuli Laine, Tero Karras, Jaakko Lehtinen +1
cs.LGcs.CVcs.NEarXiv:1901.10277v32019
Deduplicating Training Data Mitigates Privacy Risks in Language Models
Nikhil Kandpal, Eric Wallace, Colin Raffel
cs.CRcs.CLcs.LGarXiv:2202.06539v32022
IntentNet: Learning to Predict Intention from Raw Sensor Data
Sergio Casas, Wenjie Luo, Raquel Urtasun
cs.ROcs.AIcs.CVarXiv:2101.07907v12021
Graph Clustering with Graph Neural Networks
Anton Tsitsulin, John Palowitch, Bryan Perozzi +1
cs.LGcs.SIstat.MLarXiv:2006.16904v32020
Delving into Deep Imbalanced Regression
Yuzhe Yang, Kaiwen Zha, Ying-Cong Chen +2
cs.LGcs.AIcs.CVarXiv:2102.09554v22021
Character-Level Language Modeling with Deeper Self-Attention
Rami Al-Rfou, Dokook Choe, Noah Constant +2
cs.CLcs.AIcs.LGarXiv:1808.04444v22018

Machine Learning

Visual Classification via Description from Large Language Models

Local Differential Privacy based Federated Learning for Internet of Things

Predicting Station-level Hourly Demands in a Large-scale Bike-sharing Network: A Graph Convolutional Neural Network Approach

Arrive and Survive: Scaling Safe Goal-Conditioned Policy Learning from One-Bit Failure Signals

Making Latent Evolution Explicit: Operator-Structured Transitions for World Action Models

Spectral Norm Regularization for Improving the Generalizability of Deep Learning

Word Representations via Gaussian Embedding

Exponentially Weighted Moving Average Charts for Detecting Concept Drift

Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning

PEBBLE: Feedback-Efficient Interactive Reinforcement Learning via Relabeling Experience and Unsupervised Pre-training

Experience-driven Networking: A Deep Reinforcement Learning based Approach

Deep Variational Bayes Filters: Unsupervised Learning of State Space Models from Raw Data

A Survey of Deep Meta-Learning

RMP-SNN: Residual Membrane Potential Neuron for Enabling Deeper High-Accuracy and Low-Latency Spiking Neural Network

Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble

Hyperbolic Image Embeddings

High Dimensional Bayesian Optimisation and Bandits via Additive Models

Learnable latent embeddings for joint behavioral and neural analysis

InstaFlow: One Step is Enough for High-Quality Diffusion-Based Text-to-Image Generation

Mitigating Neural Network Overconfidence with Logit Normalization

Identity Matters in Deep Learning

MimicGen: A Data Generation System for Scalable Robot Learning using Human Demonstrations

Beyond Parity: Fairness Objectives for Collaborative Filtering

Preserving Statistical Validity in Adaptive Data Analysis

DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models

What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning

Programmatically Interpretable Reinforcement Learning

The Contextual Loss for Image Transformation with Non-Aligned Data

Decoupled Neural Interfaces using Synthetic Gradients

Computing a Nonnegative Matrix Factorization -- Provably

BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search

Neural Lyapunov Control

Bridging short- and medium-range weather forecasting with machine learning

Sparse Feature Circuits: Discovering and Editing Interpretable Causal Graphs in Language Models

Self-Supervised Representation Learning: Introduction, Advances and Challenges

Highly Scalable Deep Learning Training System with Mixed-Precision: Training ImageNet in Four Minutes

MultiMAE: Multi-modal Multi-task Masked Autoencoders

PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts

Real-World Humanoid Locomotion with Reinforcement Learning

Heterogeneous Graph Neural Networks for Malicious Account Detection

CURE: Code-Aware Neural Machine Translation for Automatic Program Repair

Adversarial Neuron Pruning Purifies Backdoored Deep Models

DRUM: End-To-End Differentiable Rule Mining On Knowledge Graphs

You Only Look at One Sequence: Rethinking Transformer in Vision through Object Detection

MetricGAN: Generative Adversarial Networks based Black-box Metric Scores Optimization for Speech Enhancement

StarGAN-VC: Non-parallel many-to-many voice conversion with star generative adversarial networks

A Reliable Effective Terascale Linear Learning System

Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models

Descent-to-Delete: Gradient-Based Methods for Machine Unlearning

How Language Models Organize and Structure Moral Knowledge

Anomaly Detection using One-Class Neural Networks

Learning a Continuous Sepsis Severity Score Without Hour-by-Hour Supervision: A Two-Site Retrospective Study

Interpretability of machine learning based prediction models in healthcare

Entity-Based Knowledge Conflicts in Question Answering

High-Quality Self-Supervised Deep Image Denoising

Deduplicating Training Data Mitigates Privacy Risks in Language Models

IntentNet: Learning to Predict Intention from Raw Sensor Data

Graph Clustering with Graph Neural Networks

Delving into Deep Imbalanced Regression

Character-Level Language Modeling with Deeper Self-Attention