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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32,521 to 32,580 of 32,672

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
Geometric Stability: The Missing Axis of Representations
Prashant C. Raju
cs.LGcs.CLq-bio.QMarXiv:2601.09173v52026
Faults That Fortify: CNN Adversarial Robustness via GPU Undervolting
Behnam Omidi, Ahmad Tahmasivand, Husam Alsyouri +4
cs.LGcs.ARcs.CRarXiv:2608.20572v12026
Curriculum-Aware Interpolate-then-Refine: Learned Physiological Time-Series Imputation under Realistic Missingness
Yu-Chao Huang, Haochen Zhang, Nicholas Konz +1
cs.LGcs.AIarXiv:2608.21207v12026
Contrastive Learning of Medical Visual Representations from Paired Images and Text
Yuhao Zhang, Hang Jiang, Yasuhide Miura +2
cs.CVcs.CLcs.LGarXiv:2010.00747v22020
MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs
Alistair E. W. Johnson, Tom J. Pollard, Nathaniel R. Greenbaum +7
cs.CVcs.LGeess.IVarXiv:1901.07042v52019
Tune: A Research Platform for Distributed Model Selection and Training
Richard Liaw, Eric Liang, Robert Nishihara +3
cs.LGcs.DCstat.MLarXiv:1807.05118v12018
XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalization
Junjie Hu, Sebastian Ruder, Aditya Siddhant +3
cs.CLcs.LGarXiv:2003.11080v52020
MDETR -- Modulated Detection for End-to-End Multi-Modal Understanding
Aishwarya Kamath, Mannat Singh, Yann LeCun +3
cs.CVcs.CLcs.LGarXiv:2104.12763v22021
A Minimalist Approach to Offline Reinforcement Learning
Scott Fujimoto, Shixiang Shane Gu
cs.LGcs.AIstat.MLarXiv:2106.06860v22021
Virtual Worlds as Proxy for Multi-Object Tracking Analysis
Adrien Gaidon, Qiao Wang, Yohann Cabon +1
cs.CVcs.LGcs.NEarXiv:1605.06457v12016
CNN-RNN: A Unified Framework for Multi-label Image Classification
Jiang Wang, Yi Yang, Junhua Mao +3
cs.CVcs.LGcs.NEarXiv:1604.04573v12016
The StarCraft Multi-Agent Challenge
Mikayel Samvelyan, Tabish Rashid, Christian Schroeder de Witt +7
cs.LGcs.MAstat.MLarXiv:1902.04043v52019
Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks
Ali Shafahi, W. Ronny Huang, Mahyar Najibi +4
cs.LGcs.CRcs.CVarXiv:1804.00792v22018
LSTM Fully Convolutional Networks for Time Series Classification
Fazle Karim, Somshubra Majumdar, Houshang Darabi +1
cs.LGstat.MLarXiv:1709.05206v12017
Open-vocabulary Object Detection via Vision and Language Knowledge Distillation
Xiuye Gu, Tsung-Yi Lin, Weicheng Kuo +1
cs.CVcs.AIcs.LGarXiv:2104.13921v32021
Taskonomy: Disentangling Task Transfer Learning
Amir Zamir, Alexander Sax, William Shen +3
cs.CVcs.AIcs.LGarXiv:1804.08328v12018
Fast is better than free: Revisiting adversarial training
Eric Wong, Leslie Rice, J. Zico Kolter
cs.LGstat.MLarXiv:2001.03994v12020
Modeling polypharmacy side effects with graph convolutional networks
Marinka Zitnik, Monica Agrawal, Jure Leskovec
cs.LGq-bio.MNstat.MLarXiv:1802.00543v22018
Large-Scale Long-Tailed Recognition in an Open World
Ziwei Liu, Zhongqi Miao, Xiaohang Zhan +3
cs.CVcs.LGarXiv:1904.05160v22019
Code-Guided Reasoning for Small Language Models: Evaluating Executable MCQA Scaffolds
Prateek Biswas, Dhaval Patel, Vedant Khandelwal +2
cs.IRcs.LGcs.PLarXiv:2605.18827v12026
Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs
Loic Landrieu, Martin Simonovsky
cs.CVcs.LGcs.NEarXiv:1711.09869v22017
Training Large Language Models to Predict Clinical Events
Benjamin Turtel, Paul Wilczewski, Kris Skotheim
cs.LGcs.AIcs.CLarXiv:2605.12817v12026
Deep Convolutional Neural Networks and Data Augmentation for Environmental Sound Classification
Justin Salamon, Juan Pablo Bello
cs.SDcs.CVcs.LGarXiv:1608.04363v22016
Zero-Shot Learning Through Cross-Modal Transfer
Richard Socher, Milind Ganjoo, Hamsa Sridhar +3
cs.CVcs.LGarXiv:1301.3666v22013

Machine Learning

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

Geometric Stability: The Missing Axis of Representations

Faults That Fortify: CNN Adversarial Robustness via GPU Undervolting

Curriculum-Aware Interpolate-then-Refine: Learned Physiological Time-Series Imputation under Realistic Missingness

Contrastive Learning of Medical Visual Representations from Paired Images and Text

MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs

Tune: A Research Platform for Distributed Model Selection and Training

XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalization

MDETR -- Modulated Detection for End-to-End Multi-Modal Understanding

A Minimalist Approach to Offline Reinforcement Learning

Virtual Worlds as Proxy for Multi-Object Tracking Analysis

CNN-RNN: A Unified Framework for Multi-label Image Classification

The StarCraft Multi-Agent Challenge

Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks

LSTM Fully Convolutional Networks for Time Series Classification

Open-vocabulary Object Detection via Vision and Language Knowledge Distillation

Taskonomy: Disentangling Task Transfer Learning

Fast is better than free: Revisiting adversarial training

Modeling polypharmacy side effects with graph convolutional networks

Large-Scale Long-Tailed Recognition in an Open World

Code-Guided Reasoning for Small Language Models: Evaluating Executable MCQA Scaffolds

Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

Training Large Language Models to Predict Clinical Events

Deep Convolutional Neural Networks and Data Augmentation for Environmental Sound Classification

Zero-Shot Learning Through Cross-Modal Transfer