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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32,761 to 32,820 of 32,936

Searching for Activation Functions
Prajit Ramachandran, Barret Zoph, Quoc V. Le
cs.NEcs.CVcs.LGarXiv:1710.05941v22017
Stress Testing Unlearning Algorithms
Noam Diamant, Ethan Fetaya, Neta Glazer
cs.LGarXiv:2608.22527v12026
MobileFaceNets: Efficient CNNs for Accurate Real-Time Face Verification on Mobile Devices
Sheng Chen, Yang Liu, Xiang Gao +1
cs.CVcs.LGarXiv:1804.07573v42018
What makes ImageNet good for transfer learning?
Minyoung Huh, Pulkit Agrawal, Alexei A. Efros
cs.CVcs.AIcs.LGarXiv:1608.08614v22016
Applied Federated Learning: Improving Google Keyboard Query Suggestions
Timothy Yang, Galen Andrew, Hubert Eichner +5
cs.LGstat.MLarXiv:1812.02903v12018
Segment Length Matters: A Study of Segment Lengths on Audio Fingerprinting Performance
Ziling Gong, Yunyan Ouyang, Iram Kamdar +5
cs.SDcs.AIcs.IRarXiv:2601.17690v12026
Dreaming in Code for Curriculum Learning in Open-Ended Worlds
Konstantinos Mitsides, Maxence Faldor, Antoine Cully
cs.LGcs.AIcs.CLarXiv:2602.08194v12026
Deep Evidential Regression
Alexander Amini, Wilko Schwarting, Ava Soleimany +1
cs.LGcs.NEstat.MLarXiv:1910.02600v22019
How Architecture and Training Affect TPC Representations Across Experiments
Tyler Wheeler, Michelle P. Kuchera, Raghuram Ramanujan +11
cs.LGcs.CVnucl-exarXiv:2608.21756v12026
AAVGen: Precision Engineering of Adeno-associated Viral Capsids for Renal Selective Targeting
Mohammadreza Ghaffarzadeh-Esfahani, Yousof Gheisari
q-bio.QMcs.AIcs.CLarXiv:2602.18915v12026
Deep Learning for Computational Chemistry
Garrett B. Goh, Nathan O. Hodas, Abhinav Vishnu
stat.MLcs.AIcs.CEarXiv:1701.04503v12017
VoXtream2: Full-stream TTS with dynamic speaking rate control
Nikita Torgashov, Gustav Eje Henter, Gabriel Skantze
eess.AScs.CLcs.HCarXiv:2603.13518v12026
Mish: A Self Regularized Non-Monotonic Activation Function
Diganta Misra
cs.LGcs.CVcs.NEarXiv:1908.08681v32019
Safe Flow Q-Learning: Offline Safe Reinforcement Learning with Reachability-Based Flow Policies
Mumuksh Tayal, Manan Tayal, Ravi Prakash
cs.LGcs.AIarXiv:2603.15136v22026
A Simple Way to Initialize Recurrent Networks of Rectified Linear Units
Quoc V. Le, Navdeep Jaitly, Geoffrey E. Hinton
cs.NEcs.LGarXiv:1504.00941v22015
PhysicsAgentABM: Physics-Guided Generative Agent-Based Modeling
Kavana Venkatesh, Yinhan He, Jundong Li +1
cs.MAcs.LGarXiv:2602.06030v22026
When More Modalities Hurt: Modality Dropout for Heavy-Duty Vehicle Engine Diagnostics
Adeel Zafar, Slawomir Nowaczyk, Hamid Sarmadi +1
cs.LGarXiv:2608.23161v12026
A Downsampled Variant of ImageNet as an Alternative to the CIFAR datasets
Patryk Chrabaszcz, Ilya Loshchilov, Frank Hutter
cs.CVcs.LGarXiv:1707.08819v32017
Picking Winning Tickets Before Training by Preserving Gradient Flow
Chaoqi Wang, Guodong Zhang, Roger Grosse
cs.LGcs.CVstat.MLarXiv:2002.07376v22020
Quantifying Generalization in Reinforcement Learning
Karl Cobbe, Oleg Klimov, Chris Hesse +2
cs.LGstat.MLarXiv:1812.02341v32018
QuanBench+: A Unified Multi-Framework Benchmark for LLM-Based Quantum Code Generation
Ali Slim, Haydar Hamieh, Jawad Kotaich +5
cs.LGcs.AIcs.PLarXiv:2604.08570v22026
Muse: Text-To-Image Generation via Masked Generative Transformers
Huiwen Chang, Han Zhang, Jarred Barber +9
cs.CVcs.AIcs.LGarXiv:2301.00704v12023
A Survey of Human-in-the-loop for Machine Learning
Xingjiao Wu, Luwei Xiao, Yixuan Sun +3
cs.LGarXiv:2108.00941v32021
Attention is All You Need in Speech Separation
Cem Subakan, Mirco Ravanelli, Samuele Cornell +2
eess.AScs.LGcs.SDarXiv:2010.13154v22020
Spanish Pre-trained BERT Model and Evaluation Data
José Cañete, Gabriel Chaperon, Rodrigo Fuentes +3
cs.CLcs.AIcs.LGarXiv:2308.02976v12023
Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs
Xiaohan Ding, Xiangyu Zhang, Yizhuang Zhou +3
cs.CVcs.AIcs.LGarXiv:2203.06717v42022
Object Goal Navigation using Goal-Oriented Semantic Exploration
Devendra Singh Chaplot, Dhiraj Gandhi, Abhinav Gupta +1
cs.CVcs.LGcs.ROarXiv:2007.00643v22020
UniT: Unified Multimodal Chain-of-Thought Test-time Scaling
Leon Liangyu Chen, Haoyu Ma, Zhipeng Fan +11
cs.CVcs.AIcs.LGarXiv:2602.12279v22026
Beyond the Harness: End-to-End Optimization of Context Artifacts for Enterprise Text-to-SQL
Kate Gwimm, Carson Eisenach
cs.AIcs.LGarXiv:2608.22830v12026
Spiking Neural Networks for Continuous Control: Neuromorphic Reinforcement Learning in Conventional Computing
Jessica Hunter, Md Maruf Hossain Shuvo, Krishna Roy
cs.LGcs.NEarXiv:2608.22729v12026
Transformers learn in-context by gradient descent
Johannes von Oswald, Eyvind Niklasson, Ettore Randazzo +4
cs.LGcs.AIcs.CLarXiv:2212.07677v22022
Beyond chlorophyll: machine learning estimates of diagnostic phytoplankton pigments from multispectral ocean colour data
David Moffat, Angus Laurenson, Victor Martinez-Vicente +4
q-bio.OTcs.LGphysics.opticsarXiv:2608.23348v12026
Time Series Data Augmentation for Deep Learning: A Survey
Qingsong Wen, Liang Sun, Fan Yang +4
cs.LGeess.SPstat.MLarXiv:2002.12478v42020
CondConv: Conditionally Parameterized Convolutions for Efficient Inference
Brandon Yang, Gabriel Bender, Quoc V. Le +1
cs.CVcs.AIcs.LGarXiv:1904.04971v32019
ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks
Xiaohan Ding, Yuchen Guo, Guiguang Ding +1
cs.CVcs.LGcs.NEarXiv:1908.03930v32019
Encoding Sentences with Graph Convolutional Networks for Semantic Role Labeling
Diego Marcheggiani, Ivan Titov
cs.CLcs.LGarXiv:1703.04826v42017
Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations
Maziar Raissi
stat.MLcs.LGmath.AParXiv:1801.06637v12018
PyOD: A Python Toolbox for Scalable Outlier Detection
Yue Zhao, Zain Nasrullah, Zheng Li
cs.LGcs.IRstat.MLarXiv:1901.01588v22019
Deep Convolutional Inverse Graphics Network
Tejas D. Kulkarni, Will Whitney, Pushmeet Kohli +1
cs.CVcs.GRcs.LGarXiv:1503.03167v42015
U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation
Jun Ma, Feifei Li, Bo Wang
eess.IVcs.CVcs.LGarXiv:2401.04722v12024
Kernel-Smith: A Unified Recipe for Evolutionary Kernel Optimization
He Du, Qiming Ge, Jiakai Hu +18
cs.CLcs.LGarXiv:2603.28342v22026
Model-Agnostic Interpretability of Machine Learning
Marco Tulio Ribeiro, Sameer Singh, Carlos Guestrin
stat.MLcs.LGarXiv:1606.05386v12016
Understanding disentangling in $β$-VAE
Christopher P. Burgess, Irina Higgins, Arka Pal +4
stat.MLcs.AIcs.LGarXiv:1804.03599v12018
Experiential Reinforcement Learning
Taiwei Shi, Sihao Chen, Bowen Jiang +3
cs.LGcs.AIarXiv:2602.13949v12026
Tensor Robust Principal Component Analysis with A New Tensor Nuclear Norm
Canyi Lu, Jiashi Feng, Yudong Chen +3
stat.MLcs.LGarXiv:1804.03728v22018
On Evaluating Adversarial Robustness
Nicholas Carlini, Anish Athalye, Nicolas Papernot +6
cs.LGcs.CRstat.MLarXiv:1902.06705v22019
PACEvolve: Enabling Long-Horizon Progress-Aware Consistent Evolution
Minghao Yan, Bo Peng, Benjamin Coleman +13
cs.NEcs.LGarXiv:2601.10657v22026
On Evaluation of Embodied Navigation Agents
Peter Anderson, Angel Chang, Devendra Singh Chaplot +8
cs.AIcs.CVcs.LGarXiv:1807.06757v12018
Recent Advances in Open Set Recognition: A Survey
Chuanxing Geng, Sheng-jun Huang, Songcan Chen
cs.LGstat.MLarXiv:1811.08581v42018
Deep Learning vs. Traditional Computer Vision
Niall O' Mahony, Sean Campbell, Anderson Carvalho +5
cs.CVcs.LGarXiv:1910.13796v12019
Distributed GraphLab: A Framework for Machine Learning in the Cloud
Yucheng Low, Joseph Gonzalez, Aapo Kyrola +3
cs.DBcs.LGarXiv:1204.6078v12012
Sim-to-Real Transfer in Deep Reinforcement Learning for Robotics: a Survey
Wenshuai Zhao, Jorge Peña Queralta, Tomi Westerlund
cs.LGcs.ROarXiv:2009.13303v22020
SKILL0: In-Context Agentic Reinforcement Learning for Skill Internalization
Zhengxi Lu, Zhiyuan Yao, Jinyang Wu +7
cs.LGarXiv:2604.02268v22026
Advanced Linear Algebra with Applications - Part I (Numerical linear algebra for PDEs, machine learning, and data assimilation)
Victorita Dolean, Jemima Tabeart
math.NAcs.LGarXiv:2608.21234v12026
MathNet: a Global Multimodal Benchmark for Mathematical Reasoning and Retrieval
Shaden Alshammari, Kevin Wen, Abrar Zainal +5
cs.AIcs.DLcs.IRarXiv:2604.18584v22026
CubicSplat: Differentiable Vector Graphics via Error-Bounded Forward Relaxation
Chenglong Liu, Xin Zhang, Yimeng Zhu +5
cs.GRcs.CVcs.LGarXiv:2608.20803v12026
Learning Prostate Anatomy at Test Time for Cancer Detection in Micro-Ultrasound
Obed Korshie Dzikunu, Mohammad Mahdi Abootorabi, Mohamed Harmanani +7
cs.CVcs.LGarXiv:2608.20557v12026
RDP LoRA: Geometry-Driven Identification for Parameter-Efficient Adaptation in Large Language Models
Yusuf Çelebi, Yağız Asker, Özay Ezerceli +4
cs.LGcs.AIcs.CLarXiv:2604.19321v12026
AudioWorldSim: Realistic Binaural Audio Datasets For World Models
Luis Vitor Zerkowski, Luiz Velho
cs.SDcs.LGarXiv:2608.21075v12026
Future-KL Regularized GRPO: Process-Level Credit Assignment from $f$-Divergence Regularization
Jiarui Yao, Ruida Wang, Hao Bai +1
cs.LGcs.AIcs.CLarXiv:2601.10201v22026

Machine Learning

Searching for Activation Functions

Stress Testing Unlearning Algorithms

MobileFaceNets: Efficient CNNs for Accurate Real-Time Face Verification on Mobile Devices

What makes ImageNet good for transfer learning?

Applied Federated Learning: Improving Google Keyboard Query Suggestions

Segment Length Matters: A Study of Segment Lengths on Audio Fingerprinting Performance

Dreaming in Code for Curriculum Learning in Open-Ended Worlds

Deep Evidential Regression

How Architecture and Training Affect TPC Representations Across Experiments

AAVGen: Precision Engineering of Adeno-associated Viral Capsids for Renal Selective Targeting

Deep Learning for Computational Chemistry

VoXtream2: Full-stream TTS with dynamic speaking rate control

Mish: A Self Regularized Non-Monotonic Activation Function

Safe Flow Q-Learning: Offline Safe Reinforcement Learning with Reachability-Based Flow Policies

A Simple Way to Initialize Recurrent Networks of Rectified Linear Units

PhysicsAgentABM: Physics-Guided Generative Agent-Based Modeling

When More Modalities Hurt: Modality Dropout for Heavy-Duty Vehicle Engine Diagnostics

A Downsampled Variant of ImageNet as an Alternative to the CIFAR datasets

Picking Winning Tickets Before Training by Preserving Gradient Flow

Quantifying Generalization in Reinforcement Learning

QuanBench+: A Unified Multi-Framework Benchmark for LLM-Based Quantum Code Generation

Muse: Text-To-Image Generation via Masked Generative Transformers

A Survey of Human-in-the-loop for Machine Learning

Attention is All You Need in Speech Separation

Spanish Pre-trained BERT Model and Evaluation Data

Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs

Object Goal Navigation using Goal-Oriented Semantic Exploration

UniT: Unified Multimodal Chain-of-Thought Test-time Scaling

Beyond the Harness: End-to-End Optimization of Context Artifacts for Enterprise Text-to-SQL

Spiking Neural Networks for Continuous Control: Neuromorphic Reinforcement Learning in Conventional Computing

Transformers learn in-context by gradient descent

Beyond chlorophyll: machine learning estimates of diagnostic phytoplankton pigments from multispectral ocean colour data

Time Series Data Augmentation for Deep Learning: A Survey

CondConv: Conditionally Parameterized Convolutions for Efficient Inference

ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks

Encoding Sentences with Graph Convolutional Networks for Semantic Role Labeling

Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations

PyOD: A Python Toolbox for Scalable Outlier Detection

Deep Convolutional Inverse Graphics Network

U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation

Kernel-Smith: A Unified Recipe for Evolutionary Kernel Optimization

Model-Agnostic Interpretability of Machine Learning

Understanding disentangling in $β$-VAE

Experiential Reinforcement Learning

Tensor Robust Principal Component Analysis with A New Tensor Nuclear Norm

On Evaluating Adversarial Robustness

PACEvolve: Enabling Long-Horizon Progress-Aware Consistent Evolution

On Evaluation of Embodied Navigation Agents

Recent Advances in Open Set Recognition: A Survey

Deep Learning vs. Traditional Computer Vision

Distributed GraphLab: A Framework for Machine Learning in the Cloud

Sim-to-Real Transfer in Deep Reinforcement Learning for Robotics: a Survey

SKILL0: In-Context Agentic Reinforcement Learning for Skill Internalization

Advanced Linear Algebra with Applications - Part I (Numerical linear algebra for PDEs, machine learning, and data assimilation)

MathNet: a Global Multimodal Benchmark for Mathematical Reasoning and Retrieval

CubicSplat: Differentiable Vector Graphics via Error-Bounded Forward Relaxation

Learning Prostate Anatomy at Test Time for Cancer Detection in Micro-Ultrasound

RDP LoRA: Geometry-Driven Identification for Parameter-Efficient Adaptation in Large Language Models

AudioWorldSim: Realistic Binaural Audio Datasets For World Models

Future-KL Regularized GRPO: Process-Level Credit Assignment from $f$-Divergence Regularization