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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2,821 to 2,880 of 20,116

Hidden in Plain Sight: The Overlooked Significance of Canonical Elements for Extreme LLM Sparsity
Hyeondo Jang, Kwanhee Lee, Dongyeop Lee +1
cs.LGarXiv:2609.06557v12026
Hybrid-FL for Wireless Networks: Cooperative Learning Mechanism Using Non-IID Data
Naoya Yoshida, Takayuki Nishio, Masahiro Morikura +2
cs.LGcs.DCstat.MLarXiv:1905.07210v32019
Beyond Expertise and Roles: A Framework to Characterize the Stakeholders of Interpretable Machine Learning and their Needs
Harini Suresh, Steven R. Gomez, Kevin K. Nam +1
cs.HCcs.CYcs.LGarXiv:2101.09824v12021
FedAUX: Leveraging Unlabeled Auxiliary Data in Federated Learning
Felix Sattler, Tim Korjakow, Roman Rischke +1
cs.LGcs.DCstat.MLarXiv:2102.02514v12021
Balanced Policy Evaluation and Learning
Nathan Kallus
stat.MLcs.LGmath.OCarXiv:1705.07384v22017
Foundation Models for Generalizable Semantic and Goal-Oriented Communication
Boliang Liu, Wint Yi Poe, Riccardo Trivisonno +1
cs.LGcs.AIcs.ROarXiv:2609.07853v12026
Communication-Computation Trade-Off in Resource-Constrained Edge Inference
Jiawei Shao, Jun Zhang
cs.LGeess.SPstat.MLarXiv:2006.02166v22020
A Conformal Prediction Approach to Explore Functional Data
Jing Lei, Alessandro Rinaldo, Larry Wasserman
stat.MLcs.LGarXiv:1302.6452v12013
Deep Relaxation: partial differential equations for optimizing deep neural networks
Pratik Chaudhari, Adam Oberman, Stanley Osher +2
cs.LGmath.APmath.OCarXiv:1704.04932v22017
TACo: Token-aware Cascade Contrastive Learning for Video-Text Alignment
Jianwei Yang, Yonatan Bisk, Jianfeng Gao
cs.CVcs.AIcs.LGarXiv:2108.09980v12021
Feature Analyses and Modelling of Lithium-ion Batteries Manufacturing based on Random Forest Classification
Kailong Liu, Xiaosong Hu, Huiyu Zhou +3
cs.LGarXiv:2102.06029v12021
Scaling Data Generation in Vision-and-Language Navigation
Zun Wang, Jialu Li, Yicong Hong +6
cs.CVcs.AIcs.CLarXiv:2307.15644v22023
Representation of linguistic form and function in recurrent neural networks
Ákos Kádár, Grzegorz Chrupała, Afra Alishahi
cs.CLcs.LGarXiv:1602.08952v22016
Rapid Exploration for Open-World Navigation with Latent Goal Models
Dhruv Shah, Benjamin Eysenbach, Gregory Kahn +2
cs.ROcs.AIcs.LGarXiv:2104.05859v52021
Max-Pooling Dropout for Regularization of Convolutional Neural Networks
Haibing Wu, Xiaodong Gu
cs.LGcs.CVcs.NEarXiv:1512.01400v12015
Efficient Learning and Symmetry Discovery under Exact Invariances
Ashkan Soleymani, Behrooz Tahmasebi, Patrick Jaillet +1
cs.LGstat.MLarXiv:2609.07031v12026
Impact of canny edge detection preprocessing on performance of machine learning models for Parkinson's disease classification
Sameer Bhat, Piotr Szczuko
cs.LGcs.CVarXiv:2609.07408v12026
Transformer-based World Models Are Happy With 100k Interactions
Jan Robine, Marc Höftmann, Tobias Uelwer +1
cs.LGcs.AIstat.MLarXiv:2303.07109v12023
Ensemble Kalman Inversion: A Derivative-Free Technique For Machine Learning Tasks
Nikola B. Kovachki, Andrew M. Stuart
cs.LGmath.OCstat.MLarXiv:1808.03620v12018
REFINE: Trajectory Representation Learning via Closed-Loop Transcription -- Extended Version
Sean Bin Yang, Ying Sun, Jilin Hu +5
cs.LGcs.AIarXiv:2609.07206v12026
Leveraging Seen and Unseen Semantic Relationships for Generative Zero-Shot Learning
Maunil R Vyas, Hemanth Venkateswara, Sethuraman Panchanathan
cs.CVcs.LGarXiv:2007.09549v12020
Avoiding pathologies in very deep networks
David Duvenaud, Oren Rippel, Ryan P. Adams +1
stat.MLcs.LGarXiv:1402.5836v32014
Relational Message Passing for Knowledge Graph Completion
Hongwei Wang, Hongyu Ren, Jure Leskovec
cs.LGstat.MLarXiv:2002.06757v22020
Growing a Brain: Fine-Tuning by Increasing Model Capacity
Yu-Xiong Wang, Deva Ramanan, Martial Hebert
cs.CVcs.LGarXiv:1907.07844v12019
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

Machine Learning

Hidden in Plain Sight: The Overlooked Significance of Canonical Elements for Extreme LLM Sparsity

Hybrid-FL for Wireless Networks: Cooperative Learning Mechanism Using Non-IID Data

Beyond Expertise and Roles: A Framework to Characterize the Stakeholders of Interpretable Machine Learning and their Needs

FedAUX: Leveraging Unlabeled Auxiliary Data in Federated Learning

Balanced Policy Evaluation and Learning

Foundation Models for Generalizable Semantic and Goal-Oriented Communication

Communication-Computation Trade-Off in Resource-Constrained Edge Inference

A Conformal Prediction Approach to Explore Functional Data

Deep Relaxation: partial differential equations for optimizing deep neural networks

TACo: Token-aware Cascade Contrastive Learning for Video-Text Alignment

Feature Analyses and Modelling of Lithium-ion Batteries Manufacturing based on Random Forest Classification

Scaling Data Generation in Vision-and-Language Navigation

Representation of linguistic form and function in recurrent neural networks

Rapid Exploration for Open-World Navigation with Latent Goal Models

Max-Pooling Dropout for Regularization of Convolutional Neural Networks

Efficient Learning and Symmetry Discovery under Exact Invariances

Impact of canny edge detection preprocessing on performance of machine learning models for Parkinson's disease classification

Transformer-based World Models Are Happy With 100k Interactions

Ensemble Kalman Inversion: A Derivative-Free Technique For Machine Learning Tasks

REFINE: Trajectory Representation Learning via Closed-Loop Transcription -- Extended Version

Leveraging Seen and Unseen Semantic Relationships for Generative Zero-Shot Learning

Avoiding pathologies in very deep networks

Relational Message Passing for Knowledge Graph Completion

Growing a Brain: Fine-Tuning by Increasing Model Capacity

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