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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2,941 to 3,000 of 20,188

Unsupervised Meta-Learning For Few-Shot Image Classification
Siavash Khodadadeh, Ladislau Bölöni, Mubarak Shah
cs.CVcs.LGarXiv:1811.11819v22018
Are We Ready For Learned Cardinality Estimation?
Xiaoying Wang, Changbo Qu, Weiyuan Wu +2
cs.DBcs.LGarXiv:2012.06743v42020
State Entropy Maximization with Random Encoders for Efficient Exploration
Younggyo Seo, Lili Chen, Jinwoo Shin +3
cs.LGarXiv:2102.09430v42021
FashionBERT: Text and Image Matching with Adaptive Loss for Cross-modal Retrieval
Dehong Gao, Linbo Jin, Ben Chen +5
cs.IRcs.CVcs.LGarXiv:2005.09801v22020
Sinkformers: Transformers with Doubly Stochastic Attention
Michael E. Sander, Pierre Ablin, Mathieu Blondel +1
cs.LGstat.MLarXiv:2110.11773v22021
A Novel Family of Adaptive Filtering Algorithms Based on The Logarithmic Cost
Muhammed O. Sayin, N. Denizcan Vanli, Suleyman S. Kozat
cs.LGarXiv:1311.6809v12013
Subspace Inference for Bayesian Deep Learning
Pavel Izmailov, Wesley J. Maddox, Polina Kirichenko +3
cs.LGstat.MLarXiv:1907.07504v12019
Attention-Enhanced Deep Features with Heterogeneous Ensemble Learning for Glaucoma Detection
Abdullah Al Shafi, Nishat Sadaf Lira, Abrar Hasan +2
cs.CVcs.AIcs.LGarXiv:2609.06699v12026
Sample-efficient Cross-Entropy Method for Real-time Planning
Cristina Pinneri, Shambhuraj Sawant, Sebastian Blaes +4
cs.LGcs.ROstat.MLarXiv:2008.06389v12020
Finite-Sample Analysis of Proximal Gradient TD Algorithms
Bo Liu, Ji Liu, Mohammad Ghavamzadeh +2
cs.LGstat.MLarXiv:2006.14364v22020
DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion
Qitian Wu, Chenxiao Yang, Wentao Zhao +3
cs.LGcs.AIarXiv:2301.09474v42023
Black-Box Attacks against RNN based Malware Detection Algorithms
Weiwei Hu, Ying Tan
cs.LGcs.CRarXiv:1705.08131v12017
Learning with Bounded Instance- and Label-dependent Label Noise
Jiacheng Cheng, Tongliang Liu, Kotagiri Ramamohanarao +1
stat.MLcs.LGarXiv:1709.03768v32017
Hyperparameter Tuning with Renyi Differential Privacy
Nicolas Papernot, Thomas Steinke
cs.LGcs.CRcs.DSarXiv:2110.03620v22021
Improving the Performance of Unimodal Dynamic Hand-Gesture Recognition with Multimodal Training
Mahdi Abavisani, Hamid Reza Vaezi Joze, Vishal M. Patel
cs.CVcs.AIcs.HCarXiv:1812.06145v22018
Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding
David Klindt, Lukas Schott, Yash Sharma +4
stat.MLcs.CVcs.LGarXiv:2007.10930v22020
Improving Knowledge Tracing via Pre-training Question Embeddings
Yunfei Liu, Yang Yang, Xianyu Chen +3
cs.IRcs.LGarXiv:2012.05031v12020
Counter-Swarm Doctrine: Containing Coordinated Agent Intrusions
Gregory N Frank
cs.CRcs.LGcs.MAarXiv:2609.06140v12026
Privacy Auditing with One (1) Training Run
Thomas Steinke, Milad Nasr, Matthew Jagielski
cs.LGcs.CRcs.DSarXiv:2305.08846v12023
Evaluating the Text-to-SQL Capabilities of Large Language Models
Nitarshan Rajkumar, Raymond Li, Dzmitry Bahdanau
cs.CLcs.DBcs.LGarXiv:2204.00498v12022
Hutch++: Optimal Stochastic Trace Estimation
Raphael A. Meyer, Cameron Musco, Christopher Musco +1
cs.DScs.LGmath.NAarXiv:2010.09649v52020
Deep Barycentric Regression for Optimal Transport Map Estimation and its Statistical Optimality
Kunwoong Kim, Insung Kong, Yongdai Kim
cs.LGcs.AIstat.MLarXiv:2609.06598v12026
A Toy Model of Universality: Reverse Engineering How Networks Learn Group Operations
Bilal Chughtai, Lawrence Chan, Neel Nanda
cs.LGcs.AImath.RTarXiv:2302.03025v22023
Assessing Covariate-Informed Grid Load Forecasting with a Time-Series Foundation Model
Varsha Pendyala, Yiwei Fu, Weizhong Yan +1
cs.LGcs.AIeess.SYarXiv:2609.06656v12026
RASAT: Integrating Relational Structures into Pretrained Seq2Seq Model for Text-to-SQL
Jiexing Qi, Jingyao Tang, Ziwei He +6
cs.CLcs.AIcs.DBarXiv:2205.06983v22022
SwiftExplorer: Training-free Diffusion Model Alignment with Swift Diversity Exploration
Renye Yan, Jikang Cheng, You Wu +5
cs.LGcs.AIarXiv:2609.06651v12026
Accel: A Corrective Fusion Network for Efficient Semantic Segmentation on Video
Samvit Jain, Xin Wang, Joseph Gonzalez
cs.CVcs.LGarXiv:1807.06667v42018
Inducing Emergent Misalignment from Reward Hacks with Iterative DPO
Oliver Daniels, Perusha Moodley, Benjamin M. Marlin +1
cs.LGcs.AIarXiv:2609.06649v12026
Kairos: Practical Intrusion Detection and Investigation using Whole-system Provenance
Zijun Cheng, Qiujian Lv, Jinyuan Liang +4
cs.CRcs.LGarXiv:2308.05034v32023
Can we trust deep learning models diagnosis? The impact of domain shift in chest radiograph classification
Eduardo H. P. Pooch, Pedro L. Ballester, Rodrigo C. Barros
eess.IVcs.AIcs.CVarXiv:1909.01940v22019
Diffusion Models, Image Super-Resolution And Everything: A Survey
Brian B. Moser, Arundhati S. Shanbhag, Federico Raue +3
cs.CVcs.AIcs.LGarXiv:2401.00736v32024
TD-STGT: A Spatio-Temporal Graph Transformer for Mobile Traffic Demand Forecasting
Mohamad Alkadamani, Halim Yanikomeroglu
eess.SYcs.AIcs.LGarXiv:2609.06636v12026
Federated Learning for Internet of Things: A Federated Learning Framework for On-device Anomaly Data Detection
Tuo Zhang, Chaoyang He, Tianhao Ma +3
cs.LGeess.SYarXiv:2106.07976v42021
Large Language Models for Forecasting and Anomaly Detection: A Systematic Literature Review
Jing Su, Chufeng Jiang, Xin Jin +7
cs.LGcs.AIarXiv:2402.10350v12024
Learning to Optimize Variational Quantum Circuits to Solve Combinatorial Problems
Sami Khairy, Ruslan Shaydulin, Lukasz Cincio +2
cs.LGquant-phstat.MLarXiv:1911.11071v12019
Robot Learning from Randomized Simulations: A Review
Fabio Muratore, Fabio Ramos, Greg Turk +3
cs.ROcs.LGarXiv:2111.00956v22021
Visual Explanations From Deep 3D Convolutional Neural Networks for Alzheimer's Disease Classification
Chengliang Yang, Anand Rangarajan, Sanjay Ranka
cs.CVcs.AIcs.LGarXiv:1803.02544v32018
Process mining for self-regulated learning assessment in e-learning
R. Cerezo, A. Bogarin, M. Esteban +1
cs.CYcs.LGarXiv:2403.12068v12024
Few-Shot Learning with Metric-Agnostic Conditional Embeddings
Nathan Hilliard, Lawrence Phillips, Scott Howland +3
cs.LGstat.MLarXiv:1802.04376v12018
CoreDiff: Contextual Error-Modulated Generalized Diffusion Model for Low-Dose CT Denoising and Generalization
Qi Gao, Zilong Li, Junping Zhang +2
eess.IVcs.CVcs.LGarXiv:2304.01814v22023
Large AI Model Empowered Multimodal Semantic Communications
Feibo Jiang, Li Dong, Yubo Peng +4
cs.AIcs.CLcs.LGarXiv:2309.01249v22023
On the generalization of GAN image forensics
Xinsheng Xuan, Bo Peng, Wei Wang +1
cs.CVcs.LGstat.MLarXiv:1902.11153v22019
Machine Vision for Natural Gas Methane Emissions Detection Using an Infrared Camera
Jingfan Wang, Lyne P. Tchapmi, Arvind P. Ravikumara +5
cs.CVcs.LGeess.IVarXiv:1904.08500v12019
Discovering Translation-Worthy Languages with E-Values
Wajdi Ben Saad, Safa Madiouni
cs.CLcs.AIcs.LGarXiv:2609.06593v12026
Deep Learning-Based Autonomous Driving Systems: A Survey of Attacks and Defenses
Yao Deng, Tiehua Zhang, Guannan Lou +3
cs.LGcs.CRcs.CVarXiv:2104.01789v22021
Split Learning in 6G Edge Networks
Zheng Lin, Guanqiao Qu, Xianhao Chen +1
cs.LGcs.DCcs.NIarXiv:2306.12194v32023
Layer-Wise Gate-Controlled Prompt Truncation in a Multimodal Chest X-Ray Classifier
Jingtao Lei, Hongji Li, Dexiang Shu
cs.LGcs.AIcs.CVarXiv:2609.06590v12026
Multi-Modal Imitation Learning from Unstructured Demonstrations using Generative Adversarial Nets
Karol Hausman, Yevgen Chebotar, Stefan Schaal +2
cs.ROcs.LGarXiv:1705.10479v22017
Certifying cooperation: a novel approach to cooperative multi-agent task generation
Yannick Molinghen, Hugo Charels, Tom Lenaerts
cs.MAcs.AIcs.LGarXiv:2609.06586v12026
Agnostic Learning of Monomials by Halfspaces is Hard
Vitaly Feldman, Venkatesan Guruswami, Prasad Raghavendra +1
cs.CCcs.AIcs.LGarXiv:1012.0729v12010
Quantum Perceptron Models
Nathan Wiebe, Ashish Kapoor, Krysta M Svore
quant-phcs.LGstat.MLarXiv:1602.04799v12016
Graph Mamba: Towards Learning on Graphs with State Space Models
Ali Behrouz, Farnoosh Hashemi
cs.LGarXiv:2402.08678v22024
Intelligent O-RAN for Beyond 5G and 6G Wireless Networks
Solmaz Niknam, Abhishek Roy, Harpreet S. Dhillon +5
eess.SPcs.LGarXiv:2005.08374v12020
LargeKernel3D: Scaling up Kernels in 3D Sparse CNNs
Yukang Chen, Jianhui Liu, Xiangyu Zhang +2
cs.CVcs.LGarXiv:2206.10555v22022
OracleZoom: On-Policy Self-Distillation Inspired Reference-Constrained Recursive Image Super Resolution
Shubhashis Roy Dipta, Sourajit Saha, Shaswati Saha +1
cs.CVcs.AIcs.CLarXiv:2609.06490v12026
Deep Reinforcement Learning for Electric Vehicle Routing Problem with Time Windows
Bo Lin, Bissan Ghaddar, Jatin Nathwani
cs.LGcs.AImath.OCarXiv:2010.02068v42020
Understanding and Improving Knowledge Distillation
Jiaxi Tang, Rakesh Shivanna, Zhe Zhao +4
cs.LGcs.AIstat.MLarXiv:2002.03532v22020
TransDreamer: Reinforcement Learning with Transformer World Models
Chang Chen, Yi-Fu Wu, Jaesik Yoon +1
cs.LGarXiv:2202.09481v22022
Is Power-Seeking AI an Existential Risk?
Joseph Carlsmith
cs.CYcs.AIcs.LGarXiv:2206.13353v22022
Robust Conformal Consensus: Multi-Agent LLM-as-a-Judge Interval Evaluation with Conformal Prediction
Lihui Liu
cs.LGcs.AIarXiv:2609.06367v12026

Machine Learning

Unsupervised Meta-Learning For Few-Shot Image Classification

Are We Ready For Learned Cardinality Estimation?

State Entropy Maximization with Random Encoders for Efficient Exploration

FashionBERT: Text and Image Matching with Adaptive Loss for Cross-modal Retrieval

Sinkformers: Transformers with Doubly Stochastic Attention

A Novel Family of Adaptive Filtering Algorithms Based on The Logarithmic Cost

Subspace Inference for Bayesian Deep Learning

Attention-Enhanced Deep Features with Heterogeneous Ensemble Learning for Glaucoma Detection

Sample-efficient Cross-Entropy Method for Real-time Planning

Finite-Sample Analysis of Proximal Gradient TD Algorithms

DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion

Black-Box Attacks against RNN based Malware Detection Algorithms

Learning with Bounded Instance- and Label-dependent Label Noise

Hyperparameter Tuning with Renyi Differential Privacy

Improving the Performance of Unimodal Dynamic Hand-Gesture Recognition with Multimodal Training

Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding

Improving Knowledge Tracing via Pre-training Question Embeddings

Counter-Swarm Doctrine: Containing Coordinated Agent Intrusions

Privacy Auditing with One (1) Training Run

Evaluating the Text-to-SQL Capabilities of Large Language Models

Hutch++: Optimal Stochastic Trace Estimation

Deep Barycentric Regression for Optimal Transport Map Estimation and its Statistical Optimality

A Toy Model of Universality: Reverse Engineering How Networks Learn Group Operations

Assessing Covariate-Informed Grid Load Forecasting with a Time-Series Foundation Model

RASAT: Integrating Relational Structures into Pretrained Seq2Seq Model for Text-to-SQL

SwiftExplorer: Training-free Diffusion Model Alignment with Swift Diversity Exploration

Accel: A Corrective Fusion Network for Efficient Semantic Segmentation on Video

Inducing Emergent Misalignment from Reward Hacks with Iterative DPO

Kairos: Practical Intrusion Detection and Investigation using Whole-system Provenance

Can we trust deep learning models diagnosis? The impact of domain shift in chest radiograph classification

Diffusion Models, Image Super-Resolution And Everything: A Survey

TD-STGT: A Spatio-Temporal Graph Transformer for Mobile Traffic Demand Forecasting

Federated Learning for Internet of Things: A Federated Learning Framework for On-device Anomaly Data Detection

Large Language Models for Forecasting and Anomaly Detection: A Systematic Literature Review

Learning to Optimize Variational Quantum Circuits to Solve Combinatorial Problems

Robot Learning from Randomized Simulations: A Review

Visual Explanations From Deep 3D Convolutional Neural Networks for Alzheimer's Disease Classification

Process mining for self-regulated learning assessment in e-learning

Few-Shot Learning with Metric-Agnostic Conditional Embeddings

CoreDiff: Contextual Error-Modulated Generalized Diffusion Model for Low-Dose CT Denoising and Generalization

Large AI Model Empowered Multimodal Semantic Communications

On the generalization of GAN image forensics

Machine Vision for Natural Gas Methane Emissions Detection Using an Infrared Camera

Discovering Translation-Worthy Languages with E-Values

Deep Learning-Based Autonomous Driving Systems: A Survey of Attacks and Defenses

Split Learning in 6G Edge Networks

Layer-Wise Gate-Controlled Prompt Truncation in a Multimodal Chest X-Ray Classifier

Multi-Modal Imitation Learning from Unstructured Demonstrations using Generative Adversarial Nets

Certifying cooperation: a novel approach to cooperative multi-agent task generation

Agnostic Learning of Monomials by Halfspaces is Hard

Quantum Perceptron Models

Graph Mamba: Towards Learning on Graphs with State Space Models

Intelligent O-RAN for Beyond 5G and 6G Wireless Networks

LargeKernel3D: Scaling up Kernels in 3D Sparse CNNs

OracleZoom: On-Policy Self-Distillation Inspired Reference-Constrained Recursive Image Super Resolution

Deep Reinforcement Learning for Electric Vehicle Routing Problem with Time Windows

Understanding and Improving Knowledge Distillation

TransDreamer: Reinforcement Learning with Transformer World Models

Is Power-Seeking AI an Existential Risk?

Robust Conformal Consensus: Multi-Agent LLM-as-a-Judge Interval Evaluation with Conformal Prediction