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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9,061 to 9,120 of 20,214

A Deep Latent Variable Framework for Jointly Modeling Missingness, Measurement Error, and Heterogeneity
Yasin Khadem Charvadeh, Grace Y. Yi, Mithat Gönen +1
stat.MLcs.LGarXiv:2608.30040v12026
Remote Sensing Image Super-resolution and Object Detection: Benchmark and State of the Art
Yi Wang, Syed Muhammad Arsalan Bashir, Mahrukh Khan +5
cs.CVcs.AIcs.LGarXiv:2111.03260v12021
Can Knowledge Graphs Reduce Hallucinations in LLMs? : A Survey
Garima Agrawal, Tharindu Kumarage, Zeyad Alghamdi +1
cs.CLcs.LGarXiv:2311.07914v22023
A systematic comparison of supervised classifiers
D. R. Amancio, C. H. Comin, D. Casanova +4
cs.LGarXiv:1311.0202v12013
Image Data Augmentation Approaches: A Comprehensive Survey and Future directions
Teerath Kumar, Alessandra Mileo, Rob Brennan +1
cs.CVcs.AIcs.LGarXiv:2301.02830v42023
Forecasting day-ahead electricity prices in Europe: the importance of considering market integration
Jesus Lago, Fjo De Ridder, Peter Vrancx +1
q-fin.STcs.CEcs.LGarXiv:1708.07061v32017
Partition-Aware Unlearning for Removing Spurious Correlations in Large Vision-Language Models
Aditi Sarker, Nazreen Shah, Rafi Ibn Sultan +3
cs.CVcs.AIcs.LGarXiv:2608.29996v12026
The BOSARIS Toolkit: Theory, Algorithms and Code for Surviving the New DCF
Niko Brümmer, Edward de Villiers
stat.APcs.LGstat.MLarXiv:1304.2865v12013
Automatic Semantic Augmentation of Language Model Prompts (for Code Summarization)
Toufique Ahmed, Kunal Suresh Pai, Premkumar Devanbu +1
cs.SEcs.LGarXiv:2304.06815v32023
The Capacity and Robustness Trade-off: Revisiting the Channel Independent Strategy for Multivariate Time Series Forecasting
Lu Han, Han-Jia Ye, De-Chuan Zhan
cs.LGarXiv:2304.05206v12023
Synthetic Data -- what, why and how?
James Jordon, Lukasz Szpruch, Florimond Houssiau +5
cs.LGarXiv:2205.03257v12022
A Novel Ensemble Deep Learning Model for Stock Prediction Based on Stock Prices and News
Yang Li, Yi Pan
q-fin.STcs.LGarXiv:2007.12620v12020
TicTac: Accelerating Distributed Deep Learning with Communication Scheduling
Sayed Hadi Hashemi, Sangeetha Abdu Jyothi, Roy H. Campbell
cs.DCcs.LGcs.PFarXiv:1803.03288v22018
How Auto-Encoders Could Provide Credit Assignment in Deep Networks via Target Propagation
Yoshua Bengio
cs.LGarXiv:1407.7906v32014
Sanity Checks for Saliency Metrics
Richard Tomsett, Dan Harborne, Supriyo Chakraborty +2
cs.LGcs.CVeess.IVarXiv:1912.01451v12019
Adversarial Examples for Models of Code
Noam Yefet, Uri Alon, Eran Yahav
cs.LGcs.PLarXiv:1910.07517v52019
CRISP: Cliff-awaRe Input-adaptive Sparse Prefilling with Structural-Mass-Motivated Routing
Huu Huy Nguyen, Chien Van Nguyen, Franck Dernoncourt +4
cs.LGcs.CLarXiv:2609.01925v12026
The Social Cost of Strategic Classification
Smitha Milli, John Miller, Anca D. Dragan +1
cs.LGstat.MLarXiv:1808.08460v22018
Exploiting symmetry in variational quantum machine learning
Johannes Jakob Meyer, Marian Mularski, Elies Gil-Fuster +4
quant-phcs.AIcs.LGarXiv:2205.06217v12022
Toolflows for Mapping Convolutional Neural Networks on FPGAs: A Survey and Future Directions
Stylianos I. Venieris, Alexandros Kouris, Christos-Savvas Bouganis
cs.CVcs.ARcs.LGarXiv:1803.05900v12018
Spatial-Temporal Large Language Model for Traffic Prediction
Chenxi Liu, Sun Yang, Qianxiong Xu +4
cs.LGcs.CLarXiv:2401.10134v42024
Long-tail Relation Extraction via Knowledge Graph Embeddings and Graph Convolution Networks
Ningyu Zhang, Shumin Deng, Zhanlin Sun +4
cs.IRcs.AIcs.CLarXiv:1903.01306v12019
Uncertainty-guided Continual Learning with Bayesian Neural Networks
Sayna Ebrahimi, Mohamed Elhoseiny, Trevor Darrell +1
cs.LGcs.AIcs.CVarXiv:1906.02425v22019
Knowledge Tracing Machines: Factorization Machines for Knowledge Tracing
Jill-Jênn Vie, Hisashi Kashima
cs.IRcs.AIcs.LGarXiv:1811.03388v22018
Towards the Limit of Network Quantization
Yoojin Choi, Mostafa El-Khamy, Jungwon Lee
cs.CVcs.LGcs.NEarXiv:1612.01543v22016
A Mean-Field Optimal Control Formulation of Deep Learning
Weinan E, Jiequn Han, Qianxiao Li
math.OCcs.LGarXiv:1807.01083v12018
Predicting What You Already Know Helps: Provable Self-Supervised Learning
Jason D. Lee, Qi Lei, Nikunj Saunshi +1
cs.LGstat.MLarXiv:2008.01064v22020
Mixture of LoRA Experts
Xun Wu, Shaohan Huang, Furu Wei
cs.CLcs.LGcs.MMarXiv:2404.13628v12024
Adversarial purification with Score-based generative models
Jongmin Yoon, Sung Ju Hwang, Juho Lee
cs.LGcs.CRarXiv:2106.06041v12021
WideDTA: prediction of drug-target binding affinity
Hakime Öztürk, Elif Ozkirimli, Arzucan Özgür
q-bio.QMcs.LGstat.MLarXiv:1902.04166v12019
Tsallis-INF: An Optimal Algorithm for Stochastic and Adversarial Bandits
Julian Zimmert, Yevgeny Seldin
cs.LGstat.MLarXiv:1807.07623v62018
Language Models Can Control Their Own Attention
Namgyu Ho, Huzama Ahmad, Woosung Koh +3
cs.CLcs.AIcs.LGarXiv:2609.02737v12026
CLOTH3D: Clothed 3D Humans
Hugo Bertiche, Meysam Madadi, Sergio Escalera
cs.CVcs.LGeess.IVarXiv:1912.02792v22019
Exploration-Exploitation in Constrained MDPs
Yonathan Efroni, Shie Mannor, Matteo Pirotta
cs.LGstat.MLarXiv:2003.02189v12020
Sockeye: A Toolkit for Neural Machine Translation
Felix Hieber, Tobias Domhan, Michael Denkowski +4
cs.CLcs.LGstat.MLarXiv:1712.05690v22017
Micro-Estimates of Wealth for all Low- and Middle-Income Countries
Guanghua Chi, Han Fang, Sourav Chatterjee +1
econ.GNcs.CYcs.LGarXiv:2104.07761v12021
Convergence of Update Aware Device Scheduling for Federated Learning at the Wireless Edge
Mohammad Mohammadi Amiri, Deniz Gunduz, Sanjeev R. Kulkarni +1
cs.ITcs.DCcs.LGarXiv:2001.10402v22020
MS-MDA: Multisource Marginal Distribution Adaptation for Cross-subject and Cross-session EEG Emotion Recognition
Hao Chen, Ming Jin, Zhunan Li +3
cs.LGcs.AIarXiv:2107.07740v12021
Extrapolation and learning equations
Georg Martius, Christoph H. Lampert
cs.LGcs.AIarXiv:1610.02995v12016
ADaPT: As-Needed Decomposition and Planning with Language Models
Archiki Prasad, Alexander Koller, Mareike Hartmann +4
cs.AIcs.CLcs.LGarXiv:2311.05772v22023
Always Be Dreaming: A New Approach for Data-Free Class-Incremental Learning
James Smith, Yen-Chang Hsu, Jonathan Balloch +3
cs.CVcs.LGarXiv:2106.09701v22021
NOTE: Robust Continual Test-time Adaptation Against Temporal Correlation
Taesik Gong, Jongheon Jeong, Taewon Kim +3
cs.LGarXiv:2208.05117v32022
Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders
Emile Mathieu, Charline Le Lan, Chris J. Maddison +2
stat.MLcs.LGarXiv:1901.06033v32019
Post-Training Language Models for Gold-Medal Performance in Coding Competitions
Aleksander Ficek, Sean Narenthiran, Mehrzad Samadi +2
cs.LGcs.AIcs.CLarXiv:2609.02849v12026
Hypernetwork Knowledge Graph Embeddings
Ivana Balažević, Carl Allen, Timothy M. Hospedales
cs.LGstat.MLarXiv:1808.07018v52018
Learning Compact Geometric Features
Marc Khoury, Qian-Yi Zhou, Vladlen Koltun
cs.CVcs.GRcs.LGarXiv:1709.05056v12017
Finetune like you pretrain: Improved finetuning of zero-shot vision models
Sachin Goyal, Ananya Kumar, Sankalp Garg +2
cs.CVcs.LGarXiv:2212.00638v12022
Explore no more: Improved high-probability regret bounds for non-stochastic bandits
Gergely Neu
cs.LGstat.MLarXiv:1506.03271v32015
Disentangling Length from Quality in Direct Preference Optimization
Ryan Park, Rafael Rafailov, Stefano Ermon +1
cs.CLcs.LGarXiv:2403.19159v22024
A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning
Eric Brochu, Vlad M. Cora, Nando de Freitas
cs.LGarXiv:1012.2599v12010
Simple, Robust and Optimal Ranking from Pairwise Comparisons
Nihar B. Shah, Martin J. Wainwright
cs.LGcs.AIcs.ITarXiv:1512.08949v22015
Can Computers Create Art?
Aaron Hertzmann
cs.AIcs.CVcs.GRarXiv:1801.04486v62018
Safe Learning of Quadrotor Dynamics Using Barrier Certificates
Li Wang, Evangelos A. Theodorou, Magnus Egerstedt
cs.LGeess.SYarXiv:1710.05472v12017
Online Deep Clustering for Unsupervised Representation Learning
Xiaohang Zhan, Jiahao Xie, Ziwei Liu +2
cs.CVcs.LGarXiv:2006.10645v12020
Semi-Supervised and Unsupervised Deep Visual Learning: A Survey
Yanbei Chen, Massimiliano Mancini, Xiatian Zhu +1
cs.CVcs.AIcs.LGarXiv:2208.11296v12022
Machine learning and data analytics for the IoT
Erwin Adi, Adnan Anwar, Zubair Baig +1
eess.SPcs.LGarXiv:2007.04093v12020
A Systematic Review of Generative AI for Teaching and Learning Practice
Bayode Ogunleye, Kudirat Ibilola Zakariyyah, Oluwaseun Ajao +2
cs.IRcs.AIcs.CLarXiv:2406.09520v12024
Traffic Prediction using Artificial Intelligence: Review of Recent Advances and Emerging Opportunities
Maryam Shaygan, Collin Meese, Wanxin Li +2
cs.LGcs.AIarXiv:2305.19591v22023
Functional Regularisation for Continual Learning with Gaussian Processes
Michalis K. Titsias, Jonathan Schwarz, Alexander G. de G. Matthews +2
stat.MLcs.LGarXiv:1901.11356v42019
Recurrent Quantum Neural Networks
Johannes Bausch
cs.LGquant-phstat.MLarXiv:2006.14619v12020

Machine Learning

A Deep Latent Variable Framework for Jointly Modeling Missingness, Measurement Error, and Heterogeneity

Remote Sensing Image Super-resolution and Object Detection: Benchmark and State of the Art

Can Knowledge Graphs Reduce Hallucinations in LLMs? : A Survey

A systematic comparison of supervised classifiers

Image Data Augmentation Approaches: A Comprehensive Survey and Future directions

Forecasting day-ahead electricity prices in Europe: the importance of considering market integration

Partition-Aware Unlearning for Removing Spurious Correlations in Large Vision-Language Models

The BOSARIS Toolkit: Theory, Algorithms and Code for Surviving the New DCF

Automatic Semantic Augmentation of Language Model Prompts (for Code Summarization)

The Capacity and Robustness Trade-off: Revisiting the Channel Independent Strategy for Multivariate Time Series Forecasting

Synthetic Data -- what, why and how?

A Novel Ensemble Deep Learning Model for Stock Prediction Based on Stock Prices and News

TicTac: Accelerating Distributed Deep Learning with Communication Scheduling

How Auto-Encoders Could Provide Credit Assignment in Deep Networks via Target Propagation

Sanity Checks for Saliency Metrics

Adversarial Examples for Models of Code

CRISP: Cliff-awaRe Input-adaptive Sparse Prefilling with Structural-Mass-Motivated Routing

The Social Cost of Strategic Classification

Exploiting symmetry in variational quantum machine learning

Toolflows for Mapping Convolutional Neural Networks on FPGAs: A Survey and Future Directions

Spatial-Temporal Large Language Model for Traffic Prediction

Long-tail Relation Extraction via Knowledge Graph Embeddings and Graph Convolution Networks

Uncertainty-guided Continual Learning with Bayesian Neural Networks

Knowledge Tracing Machines: Factorization Machines for Knowledge Tracing

Towards the Limit of Network Quantization

A Mean-Field Optimal Control Formulation of Deep Learning

Predicting What You Already Know Helps: Provable Self-Supervised Learning

Mixture of LoRA Experts

Adversarial purification with Score-based generative models

WideDTA: prediction of drug-target binding affinity

Tsallis-INF: An Optimal Algorithm for Stochastic and Adversarial Bandits

Language Models Can Control Their Own Attention

CLOTH3D: Clothed 3D Humans

Exploration-Exploitation in Constrained MDPs

Sockeye: A Toolkit for Neural Machine Translation

Micro-Estimates of Wealth for all Low- and Middle-Income Countries

Convergence of Update Aware Device Scheduling for Federated Learning at the Wireless Edge

MS-MDA: Multisource Marginal Distribution Adaptation for Cross-subject and Cross-session EEG Emotion Recognition

Extrapolation and learning equations

ADaPT: As-Needed Decomposition and Planning with Language Models

Always Be Dreaming: A New Approach for Data-Free Class-Incremental Learning

NOTE: Robust Continual Test-time Adaptation Against Temporal Correlation

Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders

Post-Training Language Models for Gold-Medal Performance in Coding Competitions

Hypernetwork Knowledge Graph Embeddings

Learning Compact Geometric Features

Finetune like you pretrain: Improved finetuning of zero-shot vision models

Explore no more: Improved high-probability regret bounds for non-stochastic bandits

Disentangling Length from Quality in Direct Preference Optimization

A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning

Simple, Robust and Optimal Ranking from Pairwise Comparisons

Can Computers Create Art?

Safe Learning of Quadrotor Dynamics Using Barrier Certificates

Online Deep Clustering for Unsupervised Representation Learning

Semi-Supervised and Unsupervised Deep Visual Learning: A Survey

Machine learning and data analytics for the IoT

A Systematic Review of Generative AI for Teaching and Learning Practice

Traffic Prediction using Artificial Intelligence: Review of Recent Advances and Emerging Opportunities

Functional Regularisation for Continual Learning with Gaussian Processes

Recurrent Quantum Neural Networks