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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15,961 to 16,020 of 20,198

Validation of HRV Studio: A Transparent and Quality-Control-Aware Platform for Heart Rate Variability Analysis
Cyrus Mexon Evrard Djindot, Faliang Liu, Sylvain Laborde +6
physics.med-phcs.LGcs.SEarXiv:2608.24241v12026
Label-Only Membership Inference Attacks
Christopher A. Choquette-Choo, Florian Tramer, Nicholas Carlini +1
cs.CRcs.LGstat.MLarXiv:2007.14321v32020
On the Effectiveness of Interval Bound Propagation for Training Verifiably Robust Models
Sven Gowal, Krishnamurthy Dvijotham, Robert Stanforth +6
cs.LGcs.CRstat.MLarXiv:1810.12715v42018
A Generative Model for Inverse Design of Metamaterials
Zhaocheng Liu, Dayu Zhu, Sean P. Rodrigues +2
physics.opticscs.LGphysics.comp-pharXiv:1805.10181v12018
On the Sample Complexity of the Linear Quadratic Regulator
Sarah Dean, Horia Mania, Nikolai Matni +2
math.OCcs.LGstat.MLarXiv:1710.01688v32017
Retiring Adult: New Datasets for Fair Machine Learning
Frances Ding, Moritz Hardt, John Miller +1
cs.LGstat.MLarXiv:2108.04884v32021
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models
Sachit Menon, Alexandru Damian, Shijia Hu +2
cs.CVcs.LGeess.IVarXiv:2003.03808v32020
Unbiased Teacher for Semi-Supervised Object Detection
Yen-Cheng Liu, Chih-Yao Ma, Zijian He +6
cs.CVcs.LGarXiv:2102.09480v12021
A Baseline for Few-Shot Image Classification
Guneet S. Dhillon, Pratik Chaudhari, Avinash Ravichandran +1
cs.LGcs.CVstat.MLarXiv:1909.02729v52019
PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers
Xumin Yu, Yongming Rao, Ziyi Wang +3
cs.CVcs.AIcs.LGarXiv:2108.08839v12021
PRQ-KMeans: Projection Residual Quantization for Semantic ID Tokenization
Yunxiao Luo, Siyuan Wang, Ben Chen +1
cs.LGarXiv:2608.24207v12026
A Review of Cooperative Multi-Agent Deep Reinforcement Learning
Afshin OroojlooyJadid, Davood Hajinezhad
cs.LGcs.AIcs.MAarXiv:1908.03963v42019
Anatomy of a Scam Call: What 10,000 real scam and spam calls reveal about how phone scammers operate
Ethan Traister, Ankit Raj, Jiaqi Gan +7
cs.CRcs.CLcs.CYarXiv:2608.24127v12026
PDE-Net 2.0: Learning PDEs from Data with A Numeric-Symbolic Hybrid Deep Network
Zichao Long, Yiping Lu, Bin Dong
cs.LGmath.NAphysics.comp-pharXiv:1812.04426v22018
MuseGAN: Multi-track Sequential Generative Adversarial Networks for Symbolic Music Generation and Accompaniment
Hao-Wen Dong, Wen-Yi Hsiao, Li-Chia Yang +1
eess.AScs.AIcs.LGarXiv:1709.06298v22017
Constrained Convolutional Neural Networks for Weakly Supervised Segmentation
Deepak Pathak, Philipp Krähenbühl, Trevor Darrell
cs.CVcs.LGarXiv:1506.03648v22015
Real Time Speech Enhancement in the Waveform Domain
Alexandre Defossez, Gabriel Synnaeve, Yossi Adi
eess.AScs.LGcs.SDarXiv:2006.12847v32020
Data-Free Quantization Through Weight Equalization and Bias Correction
Markus Nagel, Mart van Baalen, Tijmen Blankevoort +1
cs.LGcs.CVstat.MLarXiv:1906.04721v32019
On the Relationship between Self-Attention and Convolutional Layers
Jean-Baptiste Cordonnier, Andreas Loukas, Martin Jaggi
cs.LGcs.CLcs.CVarXiv:1911.03584v22019
Next Generation Reservoir Computing
Daniel J. Gauthier, Erik Bollt, Aaron Griffith +1
cs.LGnlin.AOarXiv:2106.07688v22021
Joint Distribution Alignment for Universal Domain Adaptation
Shizhe Li, Hongshan Pu, Mengying Xie +2
cs.LGcs.CVarXiv:2608.24429v12026
RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval
Parth Sarthi, Salman Abdullah, Aditi Tuli +3
cs.CLcs.LGarXiv:2401.18059v12024
From Gradient-Boosted Trees to Deep Recommenders: Practical Lessons from Migrating a Production Customer Support Recommender
Sonia Sharma, Jeyendran Balakrishnan, Shreya Rajpal +3
cs.LGcs.AIarXiv:2608.24132v12026
Hallucination is Inevitable: An Innate Limitation of Large Language Models
Ziwei Xu, Sanjay Jain, Mohan Kankanhalli
cs.CLcs.AIcs.LGarXiv:2401.11817v22024
Textbooks Are All You Need
Suriya Gunasekar, Yi Zhang, Jyoti Aneja +16
cs.CLcs.AIcs.LGarXiv:2306.11644v22023
$(\text{DNN})^2$: Doubly Non-Negative Relaxations for Deep Neural Networks
Hanna Jiamei Zhang, Alan Papalia, Michael Everett +1
cs.LGcs.ROeess.SYarXiv:2608.24743v12026
EXPANSE: A Deep Continual / Progressive Learning System for Deep Transfer Learning
Mohammadreza Iman, John A. Miller, Khaled Rasheed +2
cs.LGcs.CVarXiv:2205.10356v22022
A Fourier Perspective on Model Robustness in Computer Vision
Dong Yin, Raphael Gontijo Lopes, Jonathon Shlens +2
cs.LGcs.CVstat.MLarXiv:1906.08988v32019
OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models
Anas Awadalla, Irena Gao, Josh Gardner +13
cs.CVcs.AIcs.LGarXiv:2308.01390v22023
When Do Supervised UQ Ensembles Improve LLM Hallucination Detection? A Robustness Study
Mohit Singh Chauhan, Vipin Gyanchandani, Dylan Bouchard
cs.LGcs.AIcs.CLarXiv:2608.24492v12026
Gated Multimodal Units for Information Fusion
John Arevalo, Thamar Solorio, Manuel Montes-y-Gómez +1
stat.MLcs.LGarXiv:1702.01992v12017
High-Fidelity Generative Image Compression
Fabian Mentzer, George Toderici, Michael Tschannen +1
eess.IVcs.CVcs.LGarXiv:2006.09965v32020
Representation Learning for Dynamic Graphs: A Survey
Seyed Mehran Kazemi, Rishab Goel, Kshitij Jain +4
cs.LGstat.MLarXiv:1905.11485v22019
Residual Reinforcement Learning for Robot Control
Tobias Johannink, Shikhar Bahl, Ashvin Nair +6
cs.ROcs.LGarXiv:1812.03201v22018
Attributed Graph Clustering: A Deep Attentional Embedding Approach
Chun Wang, Shirui Pan, Ruiqi Hu +3
cs.LGstat.MLarXiv:1906.06532v12019
On the Parameterization and Initialization of Diagonal State Space Models
Albert Gu, Ankit Gupta, Karan Goel +1
cs.LGarXiv:2206.11893v22022
All you need is a good init
Dmytro Mishkin, Jiri Matas
cs.LGarXiv:1511.06422v72015
What Neural Networks Memorize and Why: Discovering the Long Tail via Influence Estimation
Vitaly Feldman, Chiyuan Zhang
cs.LGstat.MLarXiv:2008.03703v12020
Stochastic Variance Reduction for Nonconvex Optimization
Sashank J. Reddi, Ahmed Hefny, Suvrit Sra +2
math.OCcs.LGcs.NEarXiv:1603.06160v22016
Learning Synergies between Pushing and Grasping with Self-supervised Deep Reinforcement Learning
Andy Zeng, Shuran Song, Stefan Welker +3
cs.ROcs.AIcs.CVarXiv:1803.09956v32018
A Multimodal Foundation Model for Longitudinal Patient Representation and Scalable Insight Generation in Oncology
Eugene Vorontsov, Yi Kan Wang, Alican Bozkurt +13
cs.LGarXiv:2608.24688v12026
Language Models are Multilingual Chain-of-Thought Reasoners
Freda Shi, Mirac Suzgun, Markus Freitag +9
cs.CLcs.AIcs.LGarXiv:2210.03057v12022
Contrastive Branch Policy Optimization
Ying Wang, Changlin Qiu, Bang Lin +4
cs.LGcs.AIarXiv:2608.24300v12026
Actor-Mimic: Deep Multitask and Transfer Reinforcement Learning
Emilio Parisotto, Jimmy Lei Ba, Ruslan Salakhutdinov
cs.LGarXiv:1511.06342v42015
Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think
Sihyun Yu, Sangkyung Kwak, Huiwon Jang +4
cs.CVcs.LGarXiv:2410.06940v42024
Parameterized Complexity of $L_p$-Lipschitz Constants for Input Convex Neural Networks and $L_p$-Norm Maximization over Zonotopes
Aritra Das, Vincent Froese, Moritz Grillo +6
cs.CCcs.DMcs.LGarXiv:2608.24865v12026
Large-Scale Learnable Graph Convolutional Networks
Hongyang Gao, Zhengyang Wang, Shuiwang Ji
cs.LGstat.MLarXiv:1808.03965v12018
Single State Update Predictive Coding training for Time Series Forecasting and Anomaly Detection
Matteo Cardoni, Sam Leroux
cs.LGcs.NEarXiv:2608.24697v12026
The Reversible Residual Network: Backpropagation Without Storing Activations
Aidan N. Gomez, Mengye Ren, Raquel Urtasun +1
cs.CVcs.LGarXiv:1707.04585v12017
Weakly Supervised Learning of Instance Segmentation with Inter-pixel Relations
Jiwoon Ahn, Sunghyun Cho, Suha Kwak
cs.CVcs.LGarXiv:1904.05044v32019
Maia 200: A Software Defined Dataflow System for Large-scale AI Acceleration
Sherry Xu, Marco Heddes, Jackson Peng +14
cs.ARcs.AIcs.DCarXiv:2608.24664v12026
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning
Mamshad Nayeem Rizve, Kevin Duarte, Yogesh S Rawat +1
cs.LGcs.CVarXiv:2101.06329v32021
Fast Training of Convolutional Networks through FFTs
Michael Mathieu, Mikael Henaff, Yann LeCun
cs.CVcs.LGcs.NEarXiv:1312.5851v52013
Fast AutoAugment
Sungbin Lim, Ildoo Kim, Taesup Kim +2
cs.LGcs.CVstat.MLarXiv:1905.00397v22019
Recent Advances in Adversarial Training for Adversarial Robustness
Tao Bai, Jinqi Luo, Jun Zhao +2
cs.LGcs.AIcs.CRarXiv:2102.01356v52021
NeuralParker: A Reinforcement Learning Planner for Irregular Parking Environments
Zihan Wang, Bai Huang, Yang Guan +4
cs.ROcs.LGarXiv:2608.24485v12026
Zero-shot Image-to-Image Translation
Gaurav Parmar, Krishna Kumar Singh, Richard Zhang +3
cs.CVcs.GRcs.LGarXiv:2302.03027v12023
Generating Natural Adversarial Examples
Zhengli Zhao, Dheeru Dua, Sameer Singh
cs.LGcs.AIcs.CLarXiv:1710.11342v22017
Decoupling "when to update" from "how to update"
Eran Malach, Shai Shalev-Shwartz
cs.LGarXiv:1706.02613v22017
Why and When Can Deep -- but Not Shallow -- Networks Avoid the Curse of Dimensionality: a Review
Tomaso Poggio, Hrushikesh Mhaskar, Lorenzo Rosasco +2
cs.LGarXiv:1611.00740v52016

Machine Learning

Validation of HRV Studio: A Transparent and Quality-Control-Aware Platform for Heart Rate Variability Analysis

Label-Only Membership Inference Attacks

On the Effectiveness of Interval Bound Propagation for Training Verifiably Robust Models

A Generative Model for Inverse Design of Metamaterials

On the Sample Complexity of the Linear Quadratic Regulator

Retiring Adult: New Datasets for Fair Machine Learning

PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models

Unbiased Teacher for Semi-Supervised Object Detection

A Baseline for Few-Shot Image Classification

PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers

PRQ-KMeans: Projection Residual Quantization for Semantic ID Tokenization

A Review of Cooperative Multi-Agent Deep Reinforcement Learning

Anatomy of a Scam Call: What 10,000 real scam and spam calls reveal about how phone scammers operate

PDE-Net 2.0: Learning PDEs from Data with A Numeric-Symbolic Hybrid Deep Network

MuseGAN: Multi-track Sequential Generative Adversarial Networks for Symbolic Music Generation and Accompaniment

Constrained Convolutional Neural Networks for Weakly Supervised Segmentation

Real Time Speech Enhancement in the Waveform Domain

Data-Free Quantization Through Weight Equalization and Bias Correction

On the Relationship between Self-Attention and Convolutional Layers

Next Generation Reservoir Computing

Joint Distribution Alignment for Universal Domain Adaptation

RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval

From Gradient-Boosted Trees to Deep Recommenders: Practical Lessons from Migrating a Production Customer Support Recommender

Hallucination is Inevitable: An Innate Limitation of Large Language Models

Textbooks Are All You Need

$(\text{DNN})^2$: Doubly Non-Negative Relaxations for Deep Neural Networks

EXPANSE: A Deep Continual / Progressive Learning System for Deep Transfer Learning

A Fourier Perspective on Model Robustness in Computer Vision

OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models

When Do Supervised UQ Ensembles Improve LLM Hallucination Detection? A Robustness Study

Gated Multimodal Units for Information Fusion

High-Fidelity Generative Image Compression

Representation Learning for Dynamic Graphs: A Survey

Residual Reinforcement Learning for Robot Control

Attributed Graph Clustering: A Deep Attentional Embedding Approach

On the Parameterization and Initialization of Diagonal State Space Models

All you need is a good init

What Neural Networks Memorize and Why: Discovering the Long Tail via Influence Estimation

Stochastic Variance Reduction for Nonconvex Optimization

Learning Synergies between Pushing and Grasping with Self-supervised Deep Reinforcement Learning

A Multimodal Foundation Model for Longitudinal Patient Representation and Scalable Insight Generation in Oncology

Language Models are Multilingual Chain-of-Thought Reasoners

Contrastive Branch Policy Optimization

Actor-Mimic: Deep Multitask and Transfer Reinforcement Learning

Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think

Parameterized Complexity of $L_p$-Lipschitz Constants for Input Convex Neural Networks and $L_p$-Norm Maximization over Zonotopes

Large-Scale Learnable Graph Convolutional Networks

Single State Update Predictive Coding training for Time Series Forecasting and Anomaly Detection

The Reversible Residual Network: Backpropagation Without Storing Activations

Weakly Supervised Learning of Instance Segmentation with Inter-pixel Relations

Maia 200: A Software Defined Dataflow System for Large-scale AI Acceleration

In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning

Fast Training of Convolutional Networks through FFTs

Fast AutoAugment

Recent Advances in Adversarial Training for Adversarial Robustness

NeuralParker: A Reinforcement Learning Planner for Irregular Parking Environments

Zero-shot Image-to-Image Translation

Generating Natural Adversarial Examples

Decoupling "when to update" from "how to update"

Why and When Can Deep -- but Not Shallow -- Networks Avoid the Curse of Dimensionality: a Review