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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2,161 to 2,220 of 20,193

Settling: Equilibrium Inference for Non-Convex Validity Sets
Lyes Saad Saoud
cs.LGarXiv:2609.09682v12026
Meta-Path Guided Embedding for Similarity Search in Large-Scale Heterogeneous Information Networks
Jingbo Shang, Meng Qu, Jialu Liu +3
cs.SIcs.LGarXiv:1610.09769v12016
Detailed 2D-3D Joint Representation for Human-Object Interaction
Yong-Lu Li, Xinpeng Liu, Han Lu +4
cs.CVcs.LGarXiv:2004.08154v22020
3HAN: A Deep Neural Network for Fake News Detection
Sneha Singhania, Nigel Fernandez, Shrisha Rao
cs.LGcs.CLcs.SIarXiv:2306.12014v12023
A Deeper Look into Aleatoric and Epistemic Uncertainty Disentanglement
Matias Valdenegro-Toro, Daniel Saromo
cs.LGcs.CVarXiv:2204.09308v12022
i3DMM: Deep Implicit 3D Morphable Model of Human Heads
Tarun Yenamandra, Ayush Tewari, Florian Bernard +4
cs.CVcs.GRcs.LGarXiv:2011.14143v12020
NatGen: Generative pre-training by "Naturalizing" source code
Saikat Chakraborty, Toufique Ahmed, Yangruibo Ding +2
cs.PLcs.AIcs.LGarXiv:2206.07585v22022
Structured prompt interrogation and recursive extraction of semantics (SPIRES): A method for populating knowledge bases using zero-shot learning
J. Harry Caufield, Harshad Hegde, Vincent Emonet +9
cs.AIcs.LGarXiv:2304.02711v22023
A practical DIRECT-type algorithm for medium-scale black-box global optimization
Linas Stripinis, Remigijus Paulavičius
cs.LGmath.NAarXiv:2609.09796v12026
Privacy-Preserving Split Learning for Federated LLM Fine-Tuning
Heng Jin, Chaoyu Zhang, Hexuan Yu +2
cs.LGarXiv:2609.09794v12026
MEAL: Multi-Model Ensemble via Adversarial Learning
Zhiqiang Shen, Zhankui He, Xiangyang Xue
cs.CVcs.AIcs.LGarXiv:1812.02425v22018
Importance of Tuning Hyperparameters of Machine Learning Algorithms
Hilde J. P. Weerts, Andreas C. Mueller, Joaquin Vanschoren
cs.LGstat.MLarXiv:2007.07588v12020
Bayesian Generative Active Deep Learning
Toan Tran, Thanh-Toan Do, Ian Reid +1
cs.LGstat.MLarXiv:1904.11643v12019
Feature Importance Ranking for Deep Learning
Maksymilian Wojtas, Ke Chen
cs.LGcs.AIcs.CVarXiv:2010.08973v12020
3D Neural Scene Representations for Visuomotor Control
Yunzhu Li, Shuang Li, Vincent Sitzmann +2
cs.ROcs.CVcs.LGarXiv:2107.04004v22021
Evaluating Model Retraining under Drift: Paired Comparisons of Cumulative Subgroup Disparity
Aaron Ceross
cs.LGarXiv:2609.09788v12026
A Definition of Continual Reinforcement Learning
David Abel, André Barreto, Benjamin Van Roy +3
cs.LGcs.AIarXiv:2307.11046v22023
Information Constraints on Auto-Encoding Variational Bayes
Romain Lopez, Jeffrey Regier, Michael I. Jordan +1
cs.LGq-bio.GNstat.MLarXiv:1805.08672v42018
From One Point to A Manifold: Knowledge Graph Embedding For Precise Link Prediction
Han Xiao, Minlie Huang, Xiaoyan Zhu
cs.AIcs.LGarXiv:1512.04792v52015
EFQ-Softmax: Exp-Free Quantization for Softmax
Haohui Han, Yuming Wan, Hongni Wang +4
cs.LGarXiv:2609.09721v12026
Efficient Fairness Auditing Across Guidance Scales in Text-to-Image Diffusion Models via Causal Abstraction
Nabila Tasfiha Rahman, Rajatsubhra Chakraborty, Depeng Xu +1
cs.LGcs.CVarXiv:2609.09486v12026
Exact-Form Regret for Gradient Descent, Mirror Descent and Follow-the-Regularized-Leader
Ashkan Soleymani, Gabriele Farina, Patrick Jaillet
cs.LGcs.GTmath.OCarXiv:2609.09466v12026
Robust Industrial Cyber Physical Classification Using Neuromorphic Temporal Embeddings and Hybrid SNN XGBoost Under Machine Unlearning Attacks
Ammar Kamoona, Sajad Koushkbaghi, Mahdi Jalili +2
cs.LGcs.CRcs.NEarXiv:2609.09564v12026
Smoothed Analysis of Tensor Decompositions
Aditya Bhaskara, Moses Charikar, Ankur Moitra +1
cs.DScs.LGstat.MLarXiv:1311.3651v42013
Unthrottling the Tanh Jacobian in SAC: A Negative Result on Bang-Bang Control and MetaDrive
Faiq Shamass
cs.LGcs.ROarXiv:2609.09478v12026
Multimodal Attention-based Deep Learning for Alzheimer's Disease Diagnosis
Michal Golovanevsky, Carsten Eickhoff, Ritambhara Singh
cs.LGcs.CVeess.IVarXiv:2206.08826v22022
Improved Distributed Principal Component Analysis
Maria-Florina Balcan, Vandana Kanchanapally, Yingyu Liang +1
cs.LGarXiv:1408.5823v52014
Efficient Private ERM for Smooth Objectives
Jiaqi Zhang, Kai Zheng, Wenlong Mou +1
cs.LGcs.DSstat.MLarXiv:1703.09947v22017
Sound Event Detection Using Spatial Features and Convolutional Recurrent Neural Network
Sharath Adavanne, Pasi Pertilä, Tuomas Virtanen
cs.SDcs.LGarXiv:1706.02291v12017
The Anatomy of a Cryptocurrency Pump-and-Dump Scheme
Jiahua Xu, Benjamin Livshits
q-fin.TRcs.LGarXiv:1811.10109v22018
Neuro-symbolic representation learning on biological knowledge graphs
Mona Alshahrani, Mohammed Asif Khan, Omar Maddouri +3
q-bio.QMcs.LGq-bio.MNarXiv:1612.04256v12016
Muon-C: Operator-Aligned Muon for Convolutional Kernels
Jiaxin Qing, Lexin Li
cs.LGstat.MLarXiv:2609.09676v12026
d3rlpy: An Offline Deep Reinforcement Learning Library
Takuma Seno, Michita Imai
cs.LGcs.AIarXiv:2111.03788v22021
Positional task conditioning for scalable defect detection across product families in large product catalogs
Soham Satyadharma, Gabriel Roccabruna, Suleiman A. Khan
cs.LGarXiv:2609.09567v12026
GIT-Mol: A Multi-modal Large Language Model for Molecular Science with Graph, Image, and Text
Pengfei Liu, Yiming Ren, Jun Tao +1
cs.LGcs.CLq-bio.BMarXiv:2308.06911v32023
Perceive Your Users in Depth: Learning Universal User Representations from Multiple E-commerce Tasks
Yabo Ni, Dan Ou, Shichen Liu +4
stat.MLcs.LGarXiv:1805.10727v12018
Sample-efficient learning of quantum many-body systems
Anurag Anshu, Srinivasan Arunachalam, Tomotaka Kuwahara +1
quant-phcond-mat.stat-mechcs.LGarXiv:2004.07266v12020
POEM: Out-of-Distribution Detection with Posterior Sampling
Yifei Ming, Ying Fan, Yixuan Li
cs.LGcs.AIcs.CVarXiv:2206.13687v12022
Building the Harness Automatically: Self-Play in Code Distills a Text Harness for Black-Box Optimization
Yi Wu, Zheng Ren, Zhiyu Hu +8
cs.LGarXiv:2609.09468v12026
Learning Latent Subspaces in Variational Autoencoders
Jack Klys, Jake Snell, Richard Zemel
cs.LGcs.CVstat.MLarXiv:1812.06190v12018
Adaptive Reward-Poisoning Attacks against Reinforcement Learning
Xuezhou Zhang, Yuzhe Ma, Adish Singla +1
cs.LGcs.AIcs.CRarXiv:2003.12613v22020
Extract, Define, Canonicalize: An LLM-based Framework for Knowledge Graph Construction
Bowen Zhang, Harold Soh
cs.CLcs.AIcs.LGarXiv:2404.03868v22024
Stochastically Transitive Models for Pairwise Comparisons: Statistical and Computational Issues
Nihar B. Shah, Sivaraman Balakrishnan, Adityanand Guntuboyina +1
stat.MLcs.ITcs.LGarXiv:1510.05610v42015
Uncertainty-Aware Sea-Ice Type Mapping with Multiple Ice Charts
Samira Alkaee Taleghan, Younghyun Koo, Andrew P. Barrett +1
cs.LGarXiv:2609.09451v12026
On the limits of cross-domain generalization in automated X-ray prediction
Joseph Paul Cohen, Mohammad Hashir, Rupert Brooks +1
eess.IVcs.LGq-bio.QMarXiv:2002.02497v22020
Tensor-Train Weak SINDy: Identifying High-Dimensional Nonlinear Dynamics
Will Houser, Vanja Dukic, David M. Bortz
cs.LGcs.CEstat.MLarXiv:2609.09434v12026
Applying foundation model embeddings towards urban livability evaluation
Ayush Khot, Wen Zhou, Shaowen Wang
cs.LGcs.CYarXiv:2609.09429v12026
Variational Transformer Networks for Layout Generation
Diego Martin Arroyo, Janis Postels, Federico Tombari
cs.CVcs.LGarXiv:2104.02416v12021
Differentiable Dynamic Programming for Structured Prediction and Attention
Arthur Mensch, Mathieu Blondel
stat.MLcs.LGarXiv:1802.03676v22018
A Fast Distributed Proximal-Gradient Method
Annie I. Chen, Asuman Ozdaglar
cs.DCcs.LGstat.MLarXiv:1210.2289v12012
On the Effectiveness of Mitigating Data Poisoning Attacks with Gradient Shaping
Sanghyun Hong, Varun Chandrasekaran, Yiğitcan Kaya +2
cs.CRcs.LGarXiv:2002.11497v22020
Un-regularizing: approximate proximal point and faster stochastic algorithms for empirical risk minimization
Roy Frostig, Rong Ge, Sham M. Kakade +1
stat.MLcs.DScs.LGarXiv:1506.07512v12015
NAG: Network for Adversary Generation
Konda Reddy Mopuri, Utkarsh Ojha, Utsav Garg +1
cs.CVcs.AIcs.LGarXiv:1712.03390v22017
Spectral origin of the topological gap exponent d + η: mechanism, kernel, decomposition, and scope
Matthew Loftus
cs.LGcond-mat.stat-mechmath.ATarXiv:2609.09159v12026
Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network
Guangyi Zhang, Vandad Davoodnia, Alireza Sepas-Moghaddam +2
cs.LGeess.SPstat.MLarXiv:1908.02252v22019
Best Practices for Scientific Research on Neural Architecture Search
Marius Lindauer, Frank Hutter
cs.LGstat.MLarXiv:1909.02453v32019
XAI-Refine: An Automated Explanation-Knowledge Loop for Brain-Age Prediction
Yang Qiao, Junjie Wu, Deqiang Qiu +2
cs.LGq-bio.NCarXiv:2609.09388v12026
Quantum Graph Neural Networks
Guillaume Verdon, Trevor McCourt, Enxhell Luzhnica +3
quant-phcs.LGarXiv:1909.12264v12019
Constraint-Aware Discrete Black-Box Optimization Using Tensor Decomposition
Keisuke Onoue, Ryosuke Kojima
cs.LGarXiv:2609.09370v12026
Exact Soft Confidence-Weighted Learning
Jialei Wang, Peilin Zhao, Steven C. H. Hoi
cs.LGarXiv:1206.4612v12012

Machine Learning

Settling: Equilibrium Inference for Non-Convex Validity Sets

Meta-Path Guided Embedding for Similarity Search in Large-Scale Heterogeneous Information Networks

Detailed 2D-3D Joint Representation for Human-Object Interaction

3HAN: A Deep Neural Network for Fake News Detection

A Deeper Look into Aleatoric and Epistemic Uncertainty Disentanglement

i3DMM: Deep Implicit 3D Morphable Model of Human Heads

NatGen: Generative pre-training by "Naturalizing" source code

Structured prompt interrogation and recursive extraction of semantics (SPIRES): A method for populating knowledge bases using zero-shot learning

A practical DIRECT-type algorithm for medium-scale black-box global optimization

Privacy-Preserving Split Learning for Federated LLM Fine-Tuning

MEAL: Multi-Model Ensemble via Adversarial Learning

Importance of Tuning Hyperparameters of Machine Learning Algorithms

Bayesian Generative Active Deep Learning

Feature Importance Ranking for Deep Learning

3D Neural Scene Representations for Visuomotor Control

Evaluating Model Retraining under Drift: Paired Comparisons of Cumulative Subgroup Disparity

A Definition of Continual Reinforcement Learning

Information Constraints on Auto-Encoding Variational Bayes

From One Point to A Manifold: Knowledge Graph Embedding For Precise Link Prediction

EFQ-Softmax: Exp-Free Quantization for Softmax

Efficient Fairness Auditing Across Guidance Scales in Text-to-Image Diffusion Models via Causal Abstraction

Exact-Form Regret for Gradient Descent, Mirror Descent and Follow-the-Regularized-Leader

Robust Industrial Cyber Physical Classification Using Neuromorphic Temporal Embeddings and Hybrid SNN XGBoost Under Machine Unlearning Attacks

Smoothed Analysis of Tensor Decompositions

Unthrottling the Tanh Jacobian in SAC: A Negative Result on Bang-Bang Control and MetaDrive

Multimodal Attention-based Deep Learning for Alzheimer's Disease Diagnosis

Improved Distributed Principal Component Analysis

Efficient Private ERM for Smooth Objectives

Sound Event Detection Using Spatial Features and Convolutional Recurrent Neural Network

The Anatomy of a Cryptocurrency Pump-and-Dump Scheme

Neuro-symbolic representation learning on biological knowledge graphs

Muon-C: Operator-Aligned Muon for Convolutional Kernels

d3rlpy: An Offline Deep Reinforcement Learning Library

Positional task conditioning for scalable defect detection across product families in large product catalogs

GIT-Mol: A Multi-modal Large Language Model for Molecular Science with Graph, Image, and Text

Perceive Your Users in Depth: Learning Universal User Representations from Multiple E-commerce Tasks

Sample-efficient learning of quantum many-body systems

POEM: Out-of-Distribution Detection with Posterior Sampling

Building the Harness Automatically: Self-Play in Code Distills a Text Harness for Black-Box Optimization

Learning Latent Subspaces in Variational Autoencoders

Adaptive Reward-Poisoning Attacks against Reinforcement Learning

Extract, Define, Canonicalize: An LLM-based Framework for Knowledge Graph Construction

Stochastically Transitive Models for Pairwise Comparisons: Statistical and Computational Issues

Uncertainty-Aware Sea-Ice Type Mapping with Multiple Ice Charts

On the limits of cross-domain generalization in automated X-ray prediction

Tensor-Train Weak SINDy: Identifying High-Dimensional Nonlinear Dynamics

Applying foundation model embeddings towards urban livability evaluation

Variational Transformer Networks for Layout Generation

Differentiable Dynamic Programming for Structured Prediction and Attention

A Fast Distributed Proximal-Gradient Method

On the Effectiveness of Mitigating Data Poisoning Attacks with Gradient Shaping

Un-regularizing: approximate proximal point and faster stochastic algorithms for empirical risk minimization

NAG: Network for Adversary Generation

Spectral origin of the topological gap exponent d + η: mechanism, kernel, decomposition, and scope

Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network

Best Practices for Scientific Research on Neural Architecture Search

XAI-Refine: An Automated Explanation-Knowledge Loop for Brain-Age Prediction

Quantum Graph Neural Networks

Constraint-Aware Discrete Black-Box Optimization Using Tensor Decomposition

Exact Soft Confidence-Weighted Learning