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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19,201 to 19,260 of 20,201

Graph Convolutional Neural Networks for Web-Scale Recommender Systems
Rex Ying, Ruining He, Kaifeng Chen +3
cs.IRcs.LGstat.MLarXiv:1806.01973v12018
Beyond Teacher Likelihood: Group-Calibrated On-Policy Distillation for Long-Context Reasoning
Zhu Zhang, Jixun Wang, Xiaoang Xu +6
cs.LGcs.AIcs.CLarXiv:2608.19181v12026
Wide & Deep Learning for Recommender Systems
Heng-Tze Cheng, Levent Koc, Jeremiah Harmsen +13
cs.LGcs.IRstat.MLarXiv:1606.07792v12016
DeepONet: Learning nonlinear operators for identifying differential equations based on the universal approximation theorem of operators
Lu Lu, Pengzhan Jin, George Em Karniadakis
cs.LGstat.MLarXiv:1910.03193v32019
Bernstein-Vazirani Networks: Quantum Machine Learning by Interference
Natacha Kuete Meli, Tolga Birdal, Prayag Tiwari +2
quant-phcs.AIcs.CVarXiv:2608.19043v12026
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
Jonathan Frankle, Michael Carbin
cs.LGcs.AIcs.NEarXiv:1803.03635v52018
Masked-attention Mask Transformer for Universal Image Segmentation
Bowen Cheng, Ishan Misra, Alexander G. Schwing +2
cs.CVcs.AIcs.LGarXiv:2112.01527v32021
Leaf Values as Coordinates: Exact Contrastive Explanation for Gradient-Boosted Ensembles
Emanuele Luzio
cs.LGcs.AIcs.CYarXiv:2608.19127v12026
Scalability in Perception for Autonomous Driving: Waymo Open Dataset
Pei Sun, Henrik Kretzschmar, Xerxes Dotiwalla +22
cs.CVcs.LGstat.MLarXiv:1912.04838v72019
Discretizing Continuous Time Series for Imputation with Masked Diffusion Training
Dongbin Kim, Seungyun Lee, Geonwoo Shin +1
cs.LGcs.AIarXiv:2608.19119v12026
Learning to Prompt for Vision-Language Models
Kaiyang Zhou, Jingkang Yang, Chen Change Loy +1
cs.CVcs.AIcs.LGarXiv:2109.01134v62021
Open-MOPD: Diagnosing and Fixing Capability Imbalance in Multi-Teacher On-Policy Distillation
Huan-ang Gao, Haohan Chi, Yong Yan +7
cs.LGcs.AIcs.CLarXiv:2608.19098v12026
A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning
Stephane Ross, Geoffrey J. Gordon, J. Andrew Bagnell
cs.LGcs.AIstat.MLarXiv:1011.0686v32010
Harness Continual Learning: Continual Adaptation Beyond Model Parameters
Borui Kang, Jinrui Gu, Junhan Lv +3
cs.LGcs.AIarXiv:2608.19013v12026
Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering
Yash Goyal, Tejas Khot, Douglas Summers-Stay +2
cs.CVcs.AIcs.CLarXiv:1612.00837v32016
High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs
Ting-Chun Wang, Ming-Yu Liu, Jun-Yan Zhu +3
cs.CVcs.GRcs.LGarXiv:1711.11585v22017
Fourier Neural Operator for Parametric Partial Differential Equations
Zongyi Li, Nikola Kovachki, Kamyar Azizzadenesheli +4
cs.LGmath.NAarXiv:2010.08895v32020
Tree of Thoughts: Deliberate Problem Solving with Large Language Models
Shunyu Yao, Dian Yu, Jeffrey Zhao +4
cs.CLcs.AIcs.LGarXiv:2305.10601v22023
A Critical Synthesis of Uncertainty Quantification and Foundation Models for Semantic Segmentation
Steven Landgraf, Joceline Hinz, Markus Ulrich
cs.CVcs.AIcs.LGarXiv:2608.18709v12026
Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context
Zihang Dai, Zhilin Yang, Yiming Yang +3
cs.LGcs.CLstat.MLarXiv:1901.02860v32019
DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation
Nataniel Ruiz, Yuanzhen Li, Varun Jampani +3
cs.CVcs.GRcs.LGarXiv:2208.12242v22022
Graphical Design of Interpretable Architectures
Pietro Barbiero
cs.LGcs.AIcs.NEarXiv:2608.18936v12026
Knowledge Distillation: A Survey
Jianping Gou, Baosheng Yu, Stephen John Maybank +1
cs.LGstat.MLarXiv:2006.05525v72020
Group Normalization
Yuxin Wu, Kaiming He
cs.CVcs.LGarXiv:1803.08494v32018
Dueling Network Architectures for Deep Reinforcement Learning
Ziyu Wang, Tom Schaul, Matteo Hessel +3
cs.LGarXiv:1511.06581v32015
Density estimation using Real NVP
Laurent Dinh, Jascha Sohl-Dickstein, Samy Bengio
cs.LGcs.AIcs.NEarXiv:1605.08803v32016
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks
Dan Hendrycks, Kevin Gimpel
cs.NEcs.CVcs.LGarXiv:1610.02136v32016
InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets
Xi Chen, Yan Duan, Rein Houthooft +3
cs.LGstat.MLarXiv:1606.03657v12016
Forgetting, plasticity, and co-observation: a third facet of continual learning
Timm Hess, Abhishek Jha, Gido M. van de Ven +1
cs.LGcs.AIarXiv:2608.18803v12026
The Mythos of Model Interpretability
Zachary C. Lipton
cs.LGcs.AIcs.CVarXiv:1606.03490v32016
EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces
Vernon J. Lawhern, Amelia J. Solon, Nicholas R. Waytowich +3
cs.LGq-bio.NCstat.MLarXiv:1611.08024v42016
Beyond Predictive Fairness: Quantifying Attribution Consistency Across Demographic Groups in Diabetic Retinopathy Screening
Kerol Djoumessi, Philipp Berens
cs.LGcs.AIarXiv:2608.18759v12026
Benchmarking Neural Network Robustness to Common Corruptions and Perturbations
Dan Hendrycks, Thomas Dietterich
cs.LGcs.CVstat.MLarXiv:1903.12261v12019
FlowNet: Learning Optical Flow with Convolutional Networks
Philipp Fischer, Alexey Dosovitskiy, Eddy Ilg +6
cs.CVcs.LGarXiv:1504.06852v22015
End to End Learning for Self-Driving Cars
Mariusz Bojarski, Davide Del Testa, Daniel Dworakowski +10
cs.CVcs.LGcs.NEarXiv:1604.07316v12016
PointPillars: Fast Encoders for Object Detection from Point Clouds
Alex H. Lang, Sourabh Vora, Holger Caesar +3
cs.LGcs.CVstat.MLarXiv:1812.05784v22018
SimCSE: Simple Contrastive Learning of Sentence Embeddings
Tianyu Gao, Xingcheng Yao, Danqi Chen
cs.CLcs.LGarXiv:2104.08821v42021
The Impact of CutMix on Reliability and Robustness in Semantic Segmentation
Steven Landgraf, Markus Ulrich
cs.CVcs.AIcs.LGarXiv:2608.18715v12026
Evaluating and Explaining Prompt Sensitivity of LLMs Using Interactions
Ruiyang Qin, Qingzhuo Wang, Tian Wang +2
cs.LGcs.AIcs.CLarXiv:2608.18539v12026
OPT: Open Pre-trained Transformer Language Models
Susan Zhang, Stephen Roller, Naman Goyal +16
cs.CLcs.LGarXiv:2205.01068v42022
MorphoGP: A Nonparametric Framework for Predicting Equilibrium Beach Profiles Under Tidal Influence
Xi Wu, Yanqing Wei, Hang Yin +3
cs.LGcs.AIphysics.geo-pharXiv:2608.18558v12026
HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Units
Wei-Ning Hsu, Benjamin Bolte, Yao-Hung Hubert Tsai +3
cs.CLcs.AIcs.LGarXiv:2106.07447v12021
GPT-4o System Card
OpenAI, :, Aaron Hurst +417
cs.CLcs.AIcs.CVarXiv:2410.21276v12024
DART-SD: Diamond-topology Aware Retrieval and Tuning for Self-Distillation of Multi-Turn Tool-Calling Agents
Hangrui Xu, Jiarui Wang, Yang Yang +5
cs.CLcs.AIcs.LGarXiv:2608.18524v12026
FitNets: Hints for Thin Deep Nets
Adriana Romero, Nicolas Ballas, Samira Ebrahimi Kahou +3
cs.LGcs.NEarXiv:1412.6550v42014
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence
Kihyuk Sohn, David Berthelot, Chun-Liang Li +6
cs.LGcs.CVstat.MLarXiv:2001.07685v22020
High-Dimensional Continuous Control Using Generalized Advantage Estimation
John Schulman, Philipp Moritz, Sergey Levine +2
cs.LGcs.ROeess.SYarXiv:1506.02438v62015
Learning Important Features Through Propagating Activation Differences
Avanti Shrikumar, Peyton Greenside, Anshul Kundaje
cs.CVcs.LGcs.NEarXiv:1704.02685v22017
Europe's Climate Ambition Under Scrutiny: Evidence from Deep Learning Emission Projections
Jacopo Ghirri, Carlos Rodriguez-Pardo, Lara Aleluia Reis +1
cs.LGcs.AIecon.GNarXiv:2608.18690v12026
GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models
Alex Nichol, Prafulla Dhariwal, Aditya Ramesh +5
cs.CVcs.GRcs.LGarXiv:2112.10741v32021
Reflexion: Language Agents with Verbal Reinforcement Learning
Noah Shinn, Federico Cassano, Edward Berman +3
cs.AIcs.CLcs.LGarXiv:2303.11366v42023
iCaRL: Incremental Classifier and Representation Learning
Sylvestre-Alvise Rebuffi, Alexander Kolesnikov, Georg Sperl +1
cs.CVcs.LGstat.MLarXiv:1611.07725v22016
Variational Inference with Normalizing Flows
Danilo Jimenez Rezende, Shakir Mohamed
stat.MLcs.AIcs.LGarXiv:1505.05770v62015
Spectral Normalization for Generative Adversarial Networks
Takeru Miyato, Toshiki Kataoka, Masanori Koyama +1
cs.LGcs.CVstat.MLarXiv:1802.05957v12018
FedCoRe: Target-Adaptive Completion for Missing Modalities in Healthcare Federated Learning
Holger R. Roth, Ziyue Xu, Peter Cnudde
cs.CVcs.AIcs.LGarXiv:2608.18311v12026
A Survey Of Methods For Explaining Black Box Models
Riccardo Guidotti, Anna Monreale, Salvatore Ruggieri +3
cs.CYcs.AIcs.LGarXiv:1802.01933v32018
EEVEE: Towards Test-time Prompt Learning in the Real World for Self-Improving Agents
Weixian Xu, Shilong Liu, Mengdi Wang
cs.LGcs.AIarXiv:2606.11182v12026
Task-Conditioned Least-Privilege Learning for Executable Terminal and MCP Agents
Alexander Tu, Michael Tu
cs.CRcs.AIcs.LGarXiv:2608.18351v12026
ERASE: EaRly bAckpropagation SchEdule for Faster Training of Modern Recommendation Systems
Ergan Shang, Flavio Sales Truzzi
cs.LGcs.AIarXiv:2608.18469v12026
Flash-GMM: A Memory-Efficient Kernel for Scalable Soft Clustering
Gal Bloch, Ariel Gera, Matan Orbach +2
cs.LGcs.DBcs.IRarXiv:2606.10896v12026

Machine Learning

Graph Convolutional Neural Networks for Web-Scale Recommender Systems

Beyond Teacher Likelihood: Group-Calibrated On-Policy Distillation for Long-Context Reasoning

Wide & Deep Learning for Recommender Systems

DeepONet: Learning nonlinear operators for identifying differential equations based on the universal approximation theorem of operators

Bernstein-Vazirani Networks: Quantum Machine Learning by Interference

The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks

Masked-attention Mask Transformer for Universal Image Segmentation

Leaf Values as Coordinates: Exact Contrastive Explanation for Gradient-Boosted Ensembles

Scalability in Perception for Autonomous Driving: Waymo Open Dataset

Discretizing Continuous Time Series for Imputation with Masked Diffusion Training

Learning to Prompt for Vision-Language Models

Open-MOPD: Diagnosing and Fixing Capability Imbalance in Multi-Teacher On-Policy Distillation

A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning

Harness Continual Learning: Continual Adaptation Beyond Model Parameters

Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering

High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs

Fourier Neural Operator for Parametric Partial Differential Equations

Tree of Thoughts: Deliberate Problem Solving with Large Language Models

A Critical Synthesis of Uncertainty Quantification and Foundation Models for Semantic Segmentation

Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context

DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

Graphical Design of Interpretable Architectures

Knowledge Distillation: A Survey

Group Normalization

Dueling Network Architectures for Deep Reinforcement Learning

Density estimation using Real NVP

A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks

InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets

Forgetting, plasticity, and co-observation: a third facet of continual learning

The Mythos of Model Interpretability

EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces

Beyond Predictive Fairness: Quantifying Attribution Consistency Across Demographic Groups in Diabetic Retinopathy Screening

Benchmarking Neural Network Robustness to Common Corruptions and Perturbations

FlowNet: Learning Optical Flow with Convolutional Networks

End to End Learning for Self-Driving Cars

PointPillars: Fast Encoders for Object Detection from Point Clouds

SimCSE: Simple Contrastive Learning of Sentence Embeddings

The Impact of CutMix on Reliability and Robustness in Semantic Segmentation

Evaluating and Explaining Prompt Sensitivity of LLMs Using Interactions

OPT: Open Pre-trained Transformer Language Models

MorphoGP: A Nonparametric Framework for Predicting Equilibrium Beach Profiles Under Tidal Influence

HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Units

GPT-4o System Card

DART-SD: Diamond-topology Aware Retrieval and Tuning for Self-Distillation of Multi-Turn Tool-Calling Agents

FitNets: Hints for Thin Deep Nets

FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence

High-Dimensional Continuous Control Using Generalized Advantage Estimation

Learning Important Features Through Propagating Activation Differences

Europe's Climate Ambition Under Scrutiny: Evidence from Deep Learning Emission Projections

GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models

Reflexion: Language Agents with Verbal Reinforcement Learning

iCaRL: Incremental Classifier and Representation Learning

Variational Inference with Normalizing Flows

Spectral Normalization for Generative Adversarial Networks

FedCoRe: Target-Adaptive Completion for Missing Modalities in Healthcare Federated Learning

A Survey Of Methods For Explaining Black Box Models

EEVEE: Towards Test-time Prompt Learning in the Real World for Self-Improving Agents

Task-Conditioned Least-Privilege Learning for Executable Terminal and MCP Agents

ERASE: EaRly bAckpropagation SchEdule for Faster Training of Modern Recommendation Systems

Flash-GMM: A Memory-Efficient Kernel for Scalable Soft Clustering