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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2,701 to 2,760 of 19,971

One-Pass Incomplete Multi-view Clustering
Menglei Hu, Songcan Chen
cs.LGstat.MLarXiv:1903.00637v12019
SegSort: Segmentation by Discriminative Sorting of Segments
Jyh-Jing Hwang, Stella X. Yu, Jianbo Shi +4
cs.CVcs.LGeess.IVarXiv:1910.06962v22019
XIRL: Cross-embodiment Inverse Reinforcement Learning
Kevin Zakka, Andy Zeng, Pete Florence +3
cs.ROcs.AIcs.CVarXiv:2106.03911v32021
ChatScene: Knowledge-Enabled Safety-Critical Scenario Generation for Autonomous Vehicles
Jiawei Zhang, Chejian Xu, Bo Li
cs.AIcs.LGarXiv:2405.14062v12024
Iterative Reweighted Minimization Methods for $l_p$ Regularized Unconstrained Nonlinear Programming
Zhaosong Lu
math.OCcs.LGstat.COarXiv:1210.0066v12012
Adaptive Deep Learning for High-Dimensional Hamilton-Jacobi-Bellman Equations
Tenavi Nakamura-Zimmerer, Qi Gong, Wei Kang
math.OCcs.LGarXiv:1907.05317v52019
Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning
Zixuan Ke, Bing Liu, Nianzu Ma +2
cs.CLcs.AIcs.LGarXiv:2112.02706v12021
Hardware Trojan Threats to Multi-Chiplet Photonic Neural Network Accelerators
Sudeep Pasricha
cs.ARcs.AIcs.LGarXiv:2609.06796v12026
EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis
Chaoqi Wang, Roger Grosse, Sanja Fidler +1
cs.LGstat.MLarXiv:1905.05934v12019
Super-Human Performance in Gran Turismo Sport Using Deep Reinforcement Learning
Florian Fuchs, Yunlong Song, Elia Kaufmann +2
cs.AIcs.LGcs.ROarXiv:2008.07971v22020
Blended Multi-Modal Deep ConvNet Features for Diabetic Retinopathy Severity Prediction
J. D. Bodapati, N. Veeranjaneyulu, S. N. Shareef +4
eess.IVcs.CVcs.LGarXiv:2006.00197v12020
Mumford-Shah Loss Functional for Image Segmentation with Deep Learning
Boah Kim, Jong Chul Ye
cs.CVcs.LGstat.MLarXiv:1904.02872v22019
When 3D Gaussian Splatting Recovers Real Surfaces
Songhe Wang, David Johnathan Miller
cs.LGcs.CVarXiv:2608.30054v12026
Augmenting Genetic Algorithms with Deep Neural Networks for Exploring the Chemical Space
AkshatKumar Nigam, Pascal Friederich, Mario Krenn +1
cs.NEcs.LGphysics.chem-pharXiv:1909.11655v42019
Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Tasks
Andrey Malinin, Neil Band, Ganshin +15
cs.LGcs.AIstat.MLarXiv:2107.07455v32021
Widget Captioning: Generating Natural Language Description for Mobile User Interface Elements
Yang Li, Gang Li, Luheng He +3
cs.LGcs.AIcs.CLarXiv:2010.04295v12020
STP-UDGAT: Spatial-Temporal-Preference User Dimensional Graph Attention Network for Next POI Recommendation
Nicholas Lim, Bryan Hooi, See-Kiong Ng +4
cs.IRcs.LGcs.SIarXiv:2010.07024v12020
se(3)-TrackNet: Data-driven 6D Pose Tracking by Calibrating Image Residuals in Synthetic Domains
Bowen Wen, Chaitanya Mitash, Baozhang Ren +1
cs.CVcs.GRcs.LGarXiv:2007.13866v12020
Modeling Irregular Time Series with Continuous Recurrent Units
Mona Schirmer, Mazin Eltayeb, Stefan Lessmann +1
cs.LGstat.MLarXiv:2111.11344v32021
Tracking the Moving Frontier: Long-Short Term Advantage Estimator
Xinhao Yao, Lu Yu, Changhao Wang +5
cs.LGcs.AIarXiv:2609.06671v12026
PokaiTrainer: Scaling Belief-State Search to Competitive Pokémon VGC
Max Yu
cs.LGcs.AIcs.GTarXiv:2608.29197v12026
Do We Need Zero Training Loss After Achieving Zero Training Error?
Takashi Ishida, Ikko Yamane, Tomoya Sakai +2
cs.LGstat.MLarXiv:2002.08709v22020
Debiased Learning from Naturally Imbalanced Pseudo-Labels
Xudong Wang, Zhirong Wu, Long Lian +1
cs.LGcs.CLcs.CVarXiv:2201.01490v22022
Robust Training under Label Noise by Over-parameterization
Sheng Liu, Zhihui Zhu, Qing Qu +1
cs.LGcs.AIcs.CVarXiv:2202.14026v22022
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

Machine Learning

One-Pass Incomplete Multi-view Clustering

SegSort: Segmentation by Discriminative Sorting of Segments

XIRL: Cross-embodiment Inverse Reinforcement Learning

ChatScene: Knowledge-Enabled Safety-Critical Scenario Generation for Autonomous Vehicles

Iterative Reweighted Minimization Methods for $l_p$ Regularized Unconstrained Nonlinear Programming

Adaptive Deep Learning for High-Dimensional Hamilton-Jacobi-Bellman Equations

Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning

Hardware Trojan Threats to Multi-Chiplet Photonic Neural Network Accelerators

EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis

Super-Human Performance in Gran Turismo Sport Using Deep Reinforcement Learning

Blended Multi-Modal Deep ConvNet Features for Diabetic Retinopathy Severity Prediction

Mumford-Shah Loss Functional for Image Segmentation with Deep Learning

When 3D Gaussian Splatting Recovers Real Surfaces

Augmenting Genetic Algorithms with Deep Neural Networks for Exploring the Chemical Space

Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Tasks

Widget Captioning: Generating Natural Language Description for Mobile User Interface Elements

STP-UDGAT: Spatial-Temporal-Preference User Dimensional Graph Attention Network for Next POI Recommendation

se(3)-TrackNet: Data-driven 6D Pose Tracking by Calibrating Image Residuals in Synthetic Domains

Modeling Irregular Time Series with Continuous Recurrent Units

Tracking the Moving Frontier: Long-Short Term Advantage Estimator

PokaiTrainer: Scaling Belief-State Search to Competitive Pokémon VGC

Do We Need Zero Training Loss After Achieving Zero Training Error?

Debiased Learning from Naturally Imbalanced Pseudo-Labels

Robust Training under Label Noise by Over-parameterization

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