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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12,061 to 12,120 of 20,193

Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey
Max Hort, Zhenpeng Chen, Jie M. Zhang +2
cs.LGarXiv:2207.07068v42022
Contrastive Learning as Goal-Conditioned Reinforcement Learning
Benjamin Eysenbach, Tianjun Zhang, Ruslan Salakhutdinov +1
cs.LGcs.AIarXiv:2206.07568v22022
Surgical Fine-Tuning Improves Adaptation to Distribution Shifts
Yoonho Lee, Annie S. Chen, Fahim Tajwar +4
cs.LGcs.AIarXiv:2210.11466v32022
Less Is More: Fast Multivariate Time Series Forecasting with Light Sampling-oriented MLP Structures
Tianping Zhang, Yizhuo Zhang, Wei Cao +4
cs.LGcs.AIarXiv:2207.01186v12022
AdaNet: Adaptive Structural Learning of Artificial Neural Networks
Corinna Cortes, Xavi Gonzalvo, Vitaly Kuznetsov +2
cs.LGarXiv:1607.01097v32016
Generating Training Data with Language Models: Towards Zero-Shot Language Understanding
Yu Meng, Jiaxin Huang, Yu Zhang +1
cs.CLcs.LGarXiv:2202.04538v22022
On Empirical Comparisons of Optimizers for Deep Learning
Dami Choi, Christopher J. Shallue, Zachary Nado +3
cs.LGstat.MLarXiv:1910.05446v32019
How Transferable are Neural Networks in NLP Applications?
Lili Mou, Zhao Meng, Rui Yan +4
cs.CLcs.LGcs.NEarXiv:1603.06111v22016
Training Graph Neural Networks with 1000 Layers
Guohao Li, Matthias Müller, Bernard Ghanem +1
cs.LGcs.AIcs.SIarXiv:2106.07476v32021
ContextNet: Improving Convolutional Neural Networks for Automatic Speech Recognition with Global Context
Wei Han, Zhengdong Zhang, Yu Zhang +6
eess.AScs.CLcs.LGarXiv:2005.03191v32020
The Graphical Lasso: New Insights and Alternatives
Rahul Mazumder, Trevor Hastie
stat.MLcs.LGarXiv:1111.5479v22011
Just Pick a Sign: Optimizing Deep Multitask Models with Gradient Sign Dropout
Zhao Chen, Jiquan Ngiam, Yanping Huang +4
cs.LGcs.CVarXiv:2010.06808v12020
CDTrans: Cross-domain Transformer for Unsupervised Domain Adaptation
Tongkun Xu, Weihua Chen, Pichao Wang +3
cs.CVcs.LGarXiv:2109.06165v42021
Stochastic Variational Deep Kernel Learning
Andrew Gordon Wilson, Zhiting Hu, Ruslan Salakhutdinov +1
stat.MLcs.LGstat.MEarXiv:1611.00336v22016
Adaptivity of deep ReLU network for learning in Besov and mixed smooth Besov spaces: optimal rate and curse of dimensionality
Taiji Suzuki
stat.MLcs.LGarXiv:1810.08033v12018
Cascading Bandits: Learning to Rank in the Cascade Model
Branislav Kveton, Csaba Szepesvari, Zheng Wen +1
cs.LGstat.MLarXiv:1502.02763v22015
Trajectory Clustering and an Application to Airspace Monitoring
Maxime Gariel, Ashok N. Srivastava, Eric Feron
cs.LGarXiv:1001.5007v22010
Deep Time Series Models: A Comprehensive Survey and Benchmark
Yuxuan Wang, Haixu Wu, Jiaxiang Dong +4
cs.LGarXiv:2407.13278v32024
Maximum Resilience of Artificial Neural Networks
Chih-Hong Cheng, Georg Nührenberg, Harald Ruess
cs.LGcs.AIcs.LOarXiv:1705.01040v22017
qshap: Fast Shapley Decomposition of $R^2$ for Gradient-Boosted Trees
Zhongli Jiang, Min Zhang, Dabao Zhang
stat.MLcs.LGarXiv:2608.24104v12026
MulTaBench: Benchmarking Multimodal Tabular Learning with Text and Image
Alan Arazi, Eilam Shapira, Shoham Grunblat +8
cs.LGcs.CLcs.CVarXiv:2605.10616v12026
MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback
Xingyao Wang, Zihan Wang, Jiateng Liu +4
cs.CLcs.AIcs.LGarXiv:2309.10691v32023
Tool Learning with Foundation Models
Yujia Qin, Shengding Hu, Yankai Lin +38
cs.CLcs.AIcs.LGarXiv:2304.08354v32023
Provably Efficient Exploration in Policy Optimization
Qi Cai, Zhuoran Yang, Chi Jin +1
cs.LGmath.OCstat.MLarXiv:1912.05830v42019
Bounding and Counting Linear Regions of Deep Neural Networks
Thiago Serra, Christian Tjandraatmadja, Srikumar Ramalingam
cs.LGcs.AIcs.NEarXiv:1711.02114v42017
Gene selection with guided regularized random forest
Houtao Deng, George Runger
cs.LGcs.CEarXiv:1209.6425v32012
Learning the Graphical Structure of Electronic Health Records with Graph Convolutional Transformer
Edward Choi, Zhen Xu, Yujia Li +4
cs.LGstat.MLarXiv:1906.04716v32019
Domain Generalization via Conditional Invariant Representation
Ya Li, Mingming Gong, Xinmei Tian +2
cs.LGcs.CVstat.MLarXiv:1807.08479v12018
A Survey on Self-supervised Learning: Algorithms, Applications, and Future Trends
Jie Gui, Tuo Chen, Jing Zhang +4
cs.LGarXiv:2301.05712v42023
A Spectral Algorithm for Latent Dirichlet Allocation
Animashree Anandkumar, Dean P. Foster, Daniel Hsu +2
cs.LGstat.MLarXiv:1204.6703v42012
Sharp analysis of low-rank kernel matrix approximations
Francis Bach
cs.LGmath.STarXiv:1208.2015v32012
User-oriented Fairness in Recommendation
Yunqi Li, Hanxiong Chen, Zuohui Fu +2
cs.IRcs.AIcs.HCarXiv:2104.10671v12021
Artificial Intelligence for the Metaverse: A Survey
Thien Huynh-The, Quoc-Viet Pham, Xuan-Qui Pham +3
cs.CYcs.AIcs.LGarXiv:2202.10336v12022
Memory-Efficient Pipeline-Parallel DNN Training
Deepak Narayanan, Amar Phanishayee, Kaiyu Shi +2
cs.LGcs.DCstat.MLarXiv:2006.09503v32020
Overview of the TREC 2020 deep learning track
Nick Craswell, Bhaskar Mitra, Emine Yilmaz +1
cs.IRcs.AIcs.CLarXiv:2102.07662v12021
Mol-CycleGAN - a generative model for molecular optimization
Łukasz Maziarka, Agnieszka Pocha, Jan Kaczmarczyk +2
cs.LGphysics.chem-phstat.MLarXiv:1902.02119v12019
Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review
Sahil Verma, Varich Boonsanong, Minh Hoang +3
cs.LGcs.AIstat.MLarXiv:2010.10596v32020
A Review of Vibration-Based Damage Detection in Civil Structures: From Traditional Methods to Machine Learning and Deep Learning Applications
Onur Avci, Osama Abdeljaber, Serkan Kiranyaz +3
eess.SPcs.LGstat.MLarXiv:2004.04373v12020
k-means requires exponentially many iterations even in the plane
Andrea Vattani
cs.CGcs.DScs.LGarXiv:0812.0382v12008
Overview of the TREC 2019 deep learning track
Nick Craswell, Bhaskar Mitra, Emine Yilmaz +2
cs.IRcs.CLcs.LGarXiv:2003.07820v22020
A comprehensive review on convolutional neural network in machine fault diagnosis
Jinyang Jiao, Ming Zhao, Jing Lin +1
eess.SPcs.LGstat.MLarXiv:2002.07605v12020
Algorithmic Fairness
Dana Pessach, Erez Shmueli
cs.CYcs.AIcs.LGarXiv:2001.09784v12020
An empirical study on evaluation metrics of generative adversarial networks
Qiantong Xu, Gao Huang, Yang Yuan +4
cs.LGcs.CVstat.MLarXiv:1806.07755v22018
AutoML: A Survey of the State-of-the-Art
Xin He, Kaiyong Zhao, Xiaowen Chu
cs.LGcs.CVstat.MLarXiv:1908.00709v62019
Deep Learning in Video Multi-Object Tracking: A Survey
Gioele Ciaparrone, Francisco Luque Sánchez, Siham Tabik +3
cs.CVcs.LGstat.MLarXiv:1907.12740v42019
Transfusion: Understanding Transfer Learning for Medical Imaging
Maithra Raghu, Chiyuan Zhang, Jon Kleinberg +1
cs.CVcs.LGstat.MLarXiv:1902.07208v32019
Recent Advances in Autoencoder-Based Representation Learning
Michael Tschannen, Olivier Bachem, Mario Lucic
cs.LGcs.CVstat.MLarXiv:1812.05069v12018
MoViNets: Mobile Video Networks for Efficient Video Recognition
Dan Kondratyuk, Liangzhe Yuan, Yandong Li +4
cs.CVcs.AIcs.LGarXiv:2103.11511v22021
Remix: Rebalanced Mixup
Hsin-Ping Chou, Shih-Chieh Chang, Jia-Yu Pan +2
cs.CVcs.LGarXiv:2007.03943v32020
Multimodal Machine Learning: A Survey and Taxonomy
Tadas Baltrušaitis, Chaitanya Ahuja, Louis-Philippe Morency
cs.LGarXiv:1705.09406v22017
REGAL: A Regularization based Algorithm for Reinforcement Learning in Weakly Communicating MDPs
Peter L. Bartlett, Ambuj Tewari
cs.LGarXiv:1205.2661v12012
bartMachine: Machine Learning with Bayesian Additive Regression Trees
Adam Kapelner, Justin Bleich
stat.MLcs.LGarXiv:1312.2171v32013
An Edit Friendly DDPM Noise Space: Inversion and Manipulations
Inbar Huberman-Spiegelglas, Vladimir Kulikov, Tomer Michaeli
cs.CVcs.LGarXiv:2304.06140v32023
Limitations of the Empirical Fisher Approximation for Natural Gradient Descent
Frederik Kunstner, Lukas Balles, Philipp Hennig
cs.LGstat.MLarXiv:1905.12558v32019
DC3: A learning method for optimization with hard constraints
Priya L. Donti, David Rolnick, J. Zico Kolter
cs.LGmath.OCstat.MLarXiv:2104.12225v12021
Optimistic Rates for Learning with a Smooth Loss
Nathan Srebro, Karthik Sridharan, Ambuj Tewari
cs.LGarXiv:1009.3896v22010
FastDVDnet: Towards Real-Time Deep Video Denoising Without Flow Estimation
Matias Tassano, Julie Delon, Thomas Veit
cs.CVcs.GRcs.LGarXiv:1907.01361v22019
An Introduction to Deep Generative Modeling
Lars Ruthotto, Eldad Haber
cs.LGarXiv:2103.05180v22021
MSGNet: Learning Multi-Scale Inter-Series Correlations for Multivariate Time Series Forecasting
Wanlin Cai, Yuxuan Liang, Xianggen Liu +2
cs.LGarXiv:2401.00423v12023
Inception Transformer
Chenyang Si, Weihao Yu, Pan Zhou +3
cs.CVcs.AIcs.LGarXiv:2205.12956v22022

Machine Learning

Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey

Contrastive Learning as Goal-Conditioned Reinforcement Learning

Surgical Fine-Tuning Improves Adaptation to Distribution Shifts

Less Is More: Fast Multivariate Time Series Forecasting with Light Sampling-oriented MLP Structures

AdaNet: Adaptive Structural Learning of Artificial Neural Networks

Generating Training Data with Language Models: Towards Zero-Shot Language Understanding

On Empirical Comparisons of Optimizers for Deep Learning

How Transferable are Neural Networks in NLP Applications?

Training Graph Neural Networks with 1000 Layers

ContextNet: Improving Convolutional Neural Networks for Automatic Speech Recognition with Global Context

The Graphical Lasso: New Insights and Alternatives

Just Pick a Sign: Optimizing Deep Multitask Models with Gradient Sign Dropout

CDTrans: Cross-domain Transformer for Unsupervised Domain Adaptation

Stochastic Variational Deep Kernel Learning

Adaptivity of deep ReLU network for learning in Besov and mixed smooth Besov spaces: optimal rate and curse of dimensionality

Cascading Bandits: Learning to Rank in the Cascade Model

Trajectory Clustering and an Application to Airspace Monitoring

Deep Time Series Models: A Comprehensive Survey and Benchmark

Maximum Resilience of Artificial Neural Networks

qshap: Fast Shapley Decomposition of $R^2$ for Gradient-Boosted Trees

MulTaBench: Benchmarking Multimodal Tabular Learning with Text and Image

MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback

Tool Learning with Foundation Models

Provably Efficient Exploration in Policy Optimization

Bounding and Counting Linear Regions of Deep Neural Networks

Gene selection with guided regularized random forest

Learning the Graphical Structure of Electronic Health Records with Graph Convolutional Transformer

Domain Generalization via Conditional Invariant Representation

A Survey on Self-supervised Learning: Algorithms, Applications, and Future Trends

A Spectral Algorithm for Latent Dirichlet Allocation

Sharp analysis of low-rank kernel matrix approximations

User-oriented Fairness in Recommendation

Artificial Intelligence for the Metaverse: A Survey

Memory-Efficient Pipeline-Parallel DNN Training

Overview of the TREC 2020 deep learning track

Mol-CycleGAN - a generative model for molecular optimization

Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review

A Review of Vibration-Based Damage Detection in Civil Structures: From Traditional Methods to Machine Learning and Deep Learning Applications

k-means requires exponentially many iterations even in the plane

Overview of the TREC 2019 deep learning track

A comprehensive review on convolutional neural network in machine fault diagnosis

Algorithmic Fairness

An empirical study on evaluation metrics of generative adversarial networks

AutoML: A Survey of the State-of-the-Art

Deep Learning in Video Multi-Object Tracking: A Survey

Transfusion: Understanding Transfer Learning for Medical Imaging

Recent Advances in Autoencoder-Based Representation Learning

MoViNets: Mobile Video Networks for Efficient Video Recognition

Remix: Rebalanced Mixup

Multimodal Machine Learning: A Survey and Taxonomy

REGAL: A Regularization based Algorithm for Reinforcement Learning in Weakly Communicating MDPs

bartMachine: Machine Learning with Bayesian Additive Regression Trees

An Edit Friendly DDPM Noise Space: Inversion and Manipulations

Limitations of the Empirical Fisher Approximation for Natural Gradient Descent

DC3: A learning method for optimization with hard constraints

Optimistic Rates for Learning with a Smooth Loss

FastDVDnet: Towards Real-Time Deep Video Denoising Without Flow Estimation

An Introduction to Deep Generative Modeling

MSGNet: Learning Multi-Scale Inter-Series Correlations for Multivariate Time Series Forecasting

Inception Transformer