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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2,101 to 2,160 of 20,151

Generative Adversarial Trainer: Defense to Adversarial Perturbations with GAN
Hyeungill Lee, Sungyeob Han, Jungwoo Lee
cs.LGstat.MLarXiv:1705.03387v32017
Learning representations of irregular particle-detector geometry with distance-weighted graph networks
Shah Rukh Qasim, Jan Kieseler, Yutaro Iiyama +1
physics.data-ancs.CVcs.LGarXiv:1902.07987v22019
ProMeta: Few-shot PROTAC-targeted degradation prediction across E3 ligases
Yuansheng Liu, Yufei Ye, Tao Tang +3
cs.LGq-bio.QMarXiv:2609.09891v12026
Simulating a perceptron on a quantum computer
Maria Schuld, Ilya Sinayskiy, Francesco Petruccione
quant-phcs.LGcs.NEarXiv:1412.3635v12014
An Experimental Study of Deep Convolutional Features For Iris Recognition
Shervin Minaee, Amirali Abdolrashidi, Yao Wang
cs.CVcs.LGarXiv:1702.01334v12017
Probabilistic Prediction of Vehicle Semantic Intention and Motion
Yeping Hu, Wei Zhan, Masayoshi Tomizuka
cs.LGstat.MLarXiv:1804.03629v12018
TempTPI: Informer-Based trajectory prediction for maritime vessels
Kevin Ferneding, Veronika Lietavcova, Aleksandra M. Blachowiak +1
cs.LGarXiv:2609.09840v12026
Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling
Keyu Tian, Yi Jiang, Qishuai Diao +3
cs.CVcs.AIcs.LGarXiv:2301.03580v22023
Programming with a Differentiable Forth Interpreter
Matko Bošnjak, Tim Rocktäschel, Jason Naradowsky +1
cs.NEcs.AIcs.LGarXiv:1605.06640v32016
Online Inverse Integer Linear Optimization via Small-Gradient Skipping: Constant Regret and Finite Mistakes
Akira Kitaoka
cs.LGcs.DSmath.OCarXiv:2609.09809v12026
NEXUS-MI: Communication-Aware Federated Personalization for Gateway-Coordinated Motor-Imagery Brain-Computer Interfaces
Daniel Adu Worae, Aarthy Nagarajan
cs.LGcs.NIarXiv:2609.09786v12026
In Medical Claims Data, Enhancing Predictive Performance for Major Adverse Cardiovascular Events Using Cross Attention
Yuhei Fujioka, Daitaro Misawa, Tatsuyoshi Ikenoue +1
cs.LGarXiv:2609.09824v12026
Understanding the Representation Power of Graph Neural Networks in Learning Graph Topology
Nima Dehmamy, Albert-László Barabási, Rose Yu
cs.LGphysics.data-anstat.MLarXiv:1907.05008v22019
Swapout: Learning an ensemble of deep architectures
Saurabh Singh, Derek Hoiem, David Forsyth
cs.CVcs.LGcs.NEarXiv:1605.06465v12016
EEGBind: Detecting Source-Level Interictal Epileptiform Discharges via EEG-Centric Multimodal Binding
Muchen Li, Anglin Liu, Xuetian Gao +2
cs.LGcs.MMq-bio.NCarXiv:2609.09728v12026
Optimized U-Net for Brain Tumor Segmentation
Michał Futrega, Alexandre Milesi, Michal Marcinkiewicz +1
eess.IVcs.CVcs.LGarXiv:2110.03352v22021
ALIGN-HOLD: Experience Alignment for Real-Time Hold Control in Large-Scale Ride-Hailing Matching at DiDi
Zuhao Zhang, Xu Liu, Kai Wan +3
cs.LGarXiv:2609.09685v12026
AdaBatch: Adaptive Batch Sizes for Training Deep Neural Networks
Aditya Devarakonda, Maxim Naumov, Michael Garland
cs.LGcs.CVcs.DCarXiv:1712.02029v22017
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

Machine Learning

Generative Adversarial Trainer: Defense to Adversarial Perturbations with GAN

Learning representations of irregular particle-detector geometry with distance-weighted graph networks

ProMeta: Few-shot PROTAC-targeted degradation prediction across E3 ligases

Simulating a perceptron on a quantum computer

An Experimental Study of Deep Convolutional Features For Iris Recognition

Probabilistic Prediction of Vehicle Semantic Intention and Motion

TempTPI: Informer-Based trajectory prediction for maritime vessels

Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling

Programming with a Differentiable Forth Interpreter

Online Inverse Integer Linear Optimization via Small-Gradient Skipping: Constant Regret and Finite Mistakes

NEXUS-MI: Communication-Aware Federated Personalization for Gateway-Coordinated Motor-Imagery Brain-Computer Interfaces

In Medical Claims Data, Enhancing Predictive Performance for Major Adverse Cardiovascular Events Using Cross Attention

Understanding the Representation Power of Graph Neural Networks in Learning Graph Topology

Swapout: Learning an ensemble of deep architectures

EEGBind: Detecting Source-Level Interictal Epileptiform Discharges via EEG-Centric Multimodal Binding

Optimized U-Net for Brain Tumor Segmentation

ALIGN-HOLD: Experience Alignment for Real-Time Hold Control in Large-Scale Ride-Hailing Matching at DiDi

AdaBatch: Adaptive Batch Sizes for Training Deep Neural Networks

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