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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10,861 to 10,920 of 20,199

LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving
Hao Sha, Yao Mu, Yuxuan Jiang +7
cs.ROcs.AIcs.CLarXiv:2310.03026v32023
Smooth Neighbors on Teacher Graphs for Semi-supervised Learning
Yucen Luo, Jun Zhu, Mengxi Li +2
cs.LGcs.NEstat.MLarXiv:1711.00258v22017
Optimal Transport for Network Comparison: A Review with Machine Learning Applications
James Hyun, François G. Meyer
stat.MLcs.LGcs.SIarXiv:2608.27500v12026
Scene Representation Transformer: Geometry-Free Novel View Synthesis Through Set-Latent Scene Representations
Mehdi S. M. Sajjadi, Henning Meyer, Etienne Pot +10
cs.CVcs.AIcs.GRarXiv:2111.13152v32021
Lossy Image Compression with Conditional Diffusion Models
Ruihan Yang, Stephan Mandt
eess.IVcs.CVcs.LGarXiv:2209.06950v82022
Many-Shot In-Context Learning
Rishabh Agarwal, Avi Singh, Lei M. Zhang +12
cs.LGcs.AIcs.CLarXiv:2404.11018v32024
Recent Advances on Federated Learning: A Systematic Survey
Bingyan Liu, Nuoyan Lv, Yuanchun Guo +1
cs.LGarXiv:2301.01299v12023
A Review of Stochastic Block Models and Extensions for Graph Clustering
Clement Lee, Darren J Wilkinson
stat.MLcs.LGarXiv:1903.00114v22019
Predicting and Mapping of Soil Organic Carbon Using Machine Learning Algorithms in Northern Iran
Mostafa Emadi, Ruhollah Taghizadeh-Mehrjardi, Ali Cherati +3
cs.LGstat.MLarXiv:2007.12475v12020
Deep Reinforcement Learning for Autonomous Internet of Things: Model, Applications and Challenges
Lei Lei, Yue Tan, Kan Zheng +4
cs.LGstat.MLarXiv:1907.09059v32019
Multilevel Wavelet Decomposition Network for Interpretable Time Series Analysis
Jingyuan Wang, Ze Wang, Jianfeng Li +1
cs.LGeess.SPstat.MLarXiv:1806.08946v12018
Kaggle forecasting competitions: An overlooked learning opportunity
Casper Solheim Bojer, Jens Peder Meldgaard
stat.MLcs.LGstat.AParXiv:2009.07701v12020
Convolutional Neural Operators for robust and accurate learning of PDEs
Bogdan Raonić, Roberto Molinaro, Tim De Ryck +5
cs.LGarXiv:2302.01178v32023
Deep Variation-structured Reinforcement Learning for Visual Relationship and Attribute Detection
Xiaodan Liang, Lisa Lee, Eric P. Xing
cs.CVcs.AIcs.LGarXiv:1703.03054v12017
Learning Multi-dimensional Indexes
Vikram Nathan, Jialin Ding, Mohammad Alizadeh +1
cs.DBcs.DScs.LGarXiv:1912.01668v12019
Deep autoregressive models for the efficient variational simulation of many-body quantum systems
Or Sharir, Yoav Levine, Noam Wies +2
cond-mat.dis-nncond-mat.str-elcs.LGarXiv:1902.04057v32019
Simple and Efficient Heterogeneous Graph Neural Network
Xiaocheng Yang, Mingyu Yan, Shirui Pan +2
cs.LGarXiv:2207.02547v32022
RoboAgent: Generalization and Efficiency in Robot Manipulation via Semantic Augmentations and Action Chunking
Homanga Bharadhwaj, Jay Vakil, Mohit Sharma +3
cs.ROcs.LGarXiv:2309.01918v12023
STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender Systems
Jiani Zhang, Xingjian Shi, Shenglin Zhao +1
cs.IRcs.LGcs.SIarXiv:1905.13129v12019
Pixel Recursive Super Resolution
Ryan Dahl, Mohammad Norouzi, Jonathon Shlens
cs.CVcs.LGarXiv:1702.00783v22017
SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models
Xiaoxuan Wang, Ziniu Hu, Pan Lu +7
cs.CLcs.AIcs.LGarXiv:2307.10635v32023
Distributed Coordinate Descent Method for Learning with Big Data
Peter Richtárik, Martin Takáč
stat.MLcs.DCcs.LGarXiv:1310.2059v12013
TensorFlow Quantum: A Software Framework for Quantum Machine Learning
Michael Broughton, Guillaume Verdon, Trevor McCourt +26
quant-phcond-mat.dis-nncs.LGarXiv:2003.02989v22020
Stacked What-Where Auto-encoders
Junbo Zhao, Michael Mathieu, Ross Goroshin +1
stat.MLcs.LGcs.NEarXiv:1506.02351v82015
Mastering Text-to-Image Diffusion: Recaptioning, Planning, and Generating with Multimodal LLMs
Ling Yang, Zhaochen Yu, Chenlin Meng +3
cs.CVcs.AIcs.LGarXiv:2401.11708v32024
Decoupled Contrastive Learning
Chun-Hsiao Yeh, Cheng-Yao Hong, Yen-Chi Hsu +3
cs.LGcs.CVarXiv:2110.06848v32021
Zero-shot Knowledge Transfer via Adversarial Belief Matching
Paul Micaelli, Amos Storkey
cs.LGstat.MLarXiv:1905.09768v42019
Geometric Dataset Distances via Optimal Transport
David Alvarez-Melis, Nicolò Fusi
cs.LGstat.MLarXiv:2002.02923v12020
SAFE: Self-Attentive Function Embeddings for Binary Similarity
Luca Massarelli, Giuseppe Antonio Di Luna, Fabio Petroni +2
cs.CRcs.LGarXiv:1811.05296v42018
Audio Flamingo: A Novel Audio Language Model with Few-Shot Learning and Dialogue Abilities
Zhifeng Kong, Arushi Goel, Rohan Badlani +3
cs.SDcs.LGeess.ASarXiv:2402.01831v32024
When Muon Meets Task Interference: A Spectral Perspective on Continual Learning and Model Merging
Shangge Liu, Yuehan Yin, Yinghuan Shi +2
cs.LGarXiv:2608.27518v12026
High Fidelity Speech Synthesis with Adversarial Networks
Mikołaj Bińkowski, Jeff Donahue, Sander Dieleman +5
cs.SDcs.LGeess.ASarXiv:1909.11646v22019
Deep Counterfactual Regret Minimization
Noam Brown, Adam Lerer, Sam Gross +1
cs.AIcs.GTcs.LGarXiv:1811.00164v32018
Beyond UCB: Optimal and Efficient Contextual Bandits with Regression Oracles
Dylan J. Foster, Alexander Rakhlin
cs.LGmath.STstat.MLarXiv:2002.04926v22020
Bellman Eluder Dimension: New Rich Classes of RL Problems, and Sample-Efficient Algorithms
Chi Jin, Qinghua Liu, Sobhan Miryoosefi
cs.LGcs.AIstat.MLarXiv:2102.00815v42021
Beta Embeddings for Multi-Hop Logical Reasoning in Knowledge Graphs
Hongyu Ren, Jure Leskovec
cs.AIcs.DBcs.LGarXiv:2010.11465v12020
Dynamic Fusion based Federated Learning for COVID-19 Detection
Weishan Zhang, Tao Zhou, Qinghua Lu +6
cs.DCcs.LGarXiv:2009.10401v42020
A Review of Reinforcement Learning for Autonomous Building Energy Management
Karl Mason, Santiago Grijalva
cs.LGeess.SYstat.MLarXiv:1903.05196v22019
A Comprehensive Study of Class Incremental Learning Algorithms for Visual Tasks
Eden Belouadah, Adrian Popescu, Ioannis Kanellos
cs.LGcs.CVarXiv:2011.01844v42020
Learning Navigation Behaviors End-to-End with AutoRL
Hao-Tien Lewis Chiang, Aleksandra Faust, Marek Fiser +1
cs.ROcs.AIcs.LGarXiv:1809.10124v22018
Clustered Sampling: Low-Variance and Improved Representativity for Clients Selection in Federated Learning
Yann Fraboni, Richard Vidal, Laetitia Kameni +1
cs.LGcs.AIarXiv:2105.05883v22021
Robust Federated Learning in a Heterogeneous Environment
Avishek Ghosh, Justin Hong, Dong Yin +1
cs.LGstat.MLarXiv:1906.06629v22019
Acquire, Repair, Preserve: A Diagnosis-Guided Post-Training Recipe for Small-Model Dialogue Game Agents
Nan Li
cs.CLcs.LGarXiv:2608.28458v12026
On the Complexity Analysis of Randomized Block-Coordinate Descent Methods
Zhaosong Lu, Lin Xiao
math.OCcs.LGmath.NAarXiv:1305.4723v12013
Beyond Procrustes distances: a multilinear Gromov-Wasserstein distance capturing chirality
Clément Soubrier, Geoffrey Woollard, Andrew Warren +1
math.OCcs.LGarXiv:2608.27774v12026
Temporal Spike Sequence Learning via Backpropagation for Deep Spiking Neural Networks
Wenrui Zhang, Peng Li
cs.NEcs.LGarXiv:2002.10085v42020
Representation Benefits of Deep Feedforward Networks
Matus Telgarsky
cs.LGcs.NEarXiv:1509.08101v22015
Thieves on Sesame Street! Model Extraction of BERT-based APIs
Kalpesh Krishna, Gaurav Singh Tomar, Ankur P. Parikh +2
cs.CLcs.CRcs.LGarXiv:1910.12366v32019
BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patients
Maria de la Iglesia Vayá, Jose Manuel Saborit, Joaquim Angel Montell +10
eess.IVcs.CVcs.LGarXiv:2006.01174v32020
VizML: A Machine Learning Approach to Visualization Recommendation
Kevin Z. Hu, Michiel A. Bakker, Stephen Li +2
cs.HCcs.AIcs.LGarXiv:1808.04819v12018
Learning Exploration Policies for Navigation
Tao Chen, Saurabh Gupta, Abhinav Gupta
cs.ROcs.AIcs.LGarXiv:1903.01959v12019
CIFAKE: Image Classification and Explainable Identification of AI-Generated Synthetic Images
Jordan J. Bird, Ahmad Lotfi
cs.CVcs.AIcs.LGarXiv:2303.14126v12023
Learning Gradient Fields for Molecular Conformation Generation
Chence Shi, Shitong Luo, Minkai Xu +1
cs.LGphysics.chem-phq-bio.BMarXiv:2105.03902v32021
Bias in Machine Learning Software: Why? How? What to do?
Joymallya Chakraborty, Suvodeep Majumder, Tim Menzies
cs.LGcs.SEarXiv:2105.12195v32021
LCM-LoRA: A Universal Stable-Diffusion Acceleration Module
Simian Luo, Yiqin Tan, Suraj Patil +6
cs.CVcs.LGarXiv:2311.05556v12023
Quantum SEDONet: Spectrally-Embedded Quantum Deep Operator Networks for Partial Differential Equations
Muhammad Abid, Arth Sojitra, Bipin Tiwari +1
quant-phcs.LGarXiv:2608.27626v12026
One Model to Serve All: Star Topology Adaptive Recommender for Multi-Domain CTR Prediction
Xiang-Rong Sheng, Liqin Zhao, Guorui Zhou +8
cs.IRcs.LGarXiv:2101.11427v52021
Leveraging a Foundation Model for the EEG-Based Diagnosis of Alzheimer's Disease
Maggie Lin, Chung-Lin Hou, Tzyy-Ping Jung
cs.LGq-bio.NCarXiv:2608.27719v12026
Generating 3D structures from a 2D slice with GAN-based dimensionality expansion
Steve Kench, Samuel J. Cooper
cs.CVcs.LGarXiv:2102.07708v12021
Deep learning-based survival prediction for multiple cancer types using histopathology images
Ellery Wulczyn, David F. Steiner, Zhaoyang Xu +7
q-bio.QMcs.LGeess.IVarXiv:1912.07354v12019

Machine Learning

LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving

Smooth Neighbors on Teacher Graphs for Semi-supervised Learning

Optimal Transport for Network Comparison: A Review with Machine Learning Applications

Scene Representation Transformer: Geometry-Free Novel View Synthesis Through Set-Latent Scene Representations

Lossy Image Compression with Conditional Diffusion Models

Many-Shot In-Context Learning

Recent Advances on Federated Learning: A Systematic Survey

A Review of Stochastic Block Models and Extensions for Graph Clustering

Predicting and Mapping of Soil Organic Carbon Using Machine Learning Algorithms in Northern Iran

Deep Reinforcement Learning for Autonomous Internet of Things: Model, Applications and Challenges

Multilevel Wavelet Decomposition Network for Interpretable Time Series Analysis

Kaggle forecasting competitions: An overlooked learning opportunity

Convolutional Neural Operators for robust and accurate learning of PDEs

Deep Variation-structured Reinforcement Learning for Visual Relationship and Attribute Detection

Learning Multi-dimensional Indexes

Deep autoregressive models for the efficient variational simulation of many-body quantum systems

Simple and Efficient Heterogeneous Graph Neural Network

RoboAgent: Generalization and Efficiency in Robot Manipulation via Semantic Augmentations and Action Chunking

STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender Systems

Pixel Recursive Super Resolution

SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models

Distributed Coordinate Descent Method for Learning with Big Data

TensorFlow Quantum: A Software Framework for Quantum Machine Learning

Stacked What-Where Auto-encoders

Mastering Text-to-Image Diffusion: Recaptioning, Planning, and Generating with Multimodal LLMs

Decoupled Contrastive Learning

Zero-shot Knowledge Transfer via Adversarial Belief Matching

Geometric Dataset Distances via Optimal Transport

SAFE: Self-Attentive Function Embeddings for Binary Similarity

Audio Flamingo: A Novel Audio Language Model with Few-Shot Learning and Dialogue Abilities

When Muon Meets Task Interference: A Spectral Perspective on Continual Learning and Model Merging

High Fidelity Speech Synthesis with Adversarial Networks

Deep Counterfactual Regret Minimization

Beyond UCB: Optimal and Efficient Contextual Bandits with Regression Oracles

Bellman Eluder Dimension: New Rich Classes of RL Problems, and Sample-Efficient Algorithms

Beta Embeddings for Multi-Hop Logical Reasoning in Knowledge Graphs

Dynamic Fusion based Federated Learning for COVID-19 Detection

A Review of Reinforcement Learning for Autonomous Building Energy Management

A Comprehensive Study of Class Incremental Learning Algorithms for Visual Tasks

Learning Navigation Behaviors End-to-End with AutoRL

Clustered Sampling: Low-Variance and Improved Representativity for Clients Selection in Federated Learning

Robust Federated Learning in a Heterogeneous Environment

Acquire, Repair, Preserve: A Diagnosis-Guided Post-Training Recipe for Small-Model Dialogue Game Agents

On the Complexity Analysis of Randomized Block-Coordinate Descent Methods

Beyond Procrustes distances: a multilinear Gromov-Wasserstein distance capturing chirality

Temporal Spike Sequence Learning via Backpropagation for Deep Spiking Neural Networks

Representation Benefits of Deep Feedforward Networks

Thieves on Sesame Street! Model Extraction of BERT-based APIs

BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patients

VizML: A Machine Learning Approach to Visualization Recommendation

Learning Exploration Policies for Navigation

CIFAKE: Image Classification and Explainable Identification of AI-Generated Synthetic Images

Learning Gradient Fields for Molecular Conformation Generation

Bias in Machine Learning Software: Why? How? What to do?

LCM-LoRA: A Universal Stable-Diffusion Acceleration Module

Quantum SEDONet: Spectrally-Embedded Quantum Deep Operator Networks for Partial Differential Equations

One Model to Serve All: Star Topology Adaptive Recommender for Multi-Domain CTR Prediction

Leveraging a Foundation Model for the EEG-Based Diagnosis of Alzheimer's Disease

Generating 3D structures from a 2D slice with GAN-based dimensionality expansion

Deep learning-based survival prediction for multiple cancer types using histopathology images