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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13,321 to 13,380 of 20,199

Learning Model Predictive Control for iterative tasks. A Data-Driven Control Framework
Ugo Rosolia, Francesco Borrelli
eess.SYcs.LGmath.OCarXiv:1609.01387v72016
Swapping Autoencoder for Deep Image Manipulation
Taesung Park, Jun-Yan Zhu, Oliver Wang +4
cs.CVcs.GRcs.LGarXiv:2007.00653v22020
Averaged-DQN: Variance Reduction and Stabilization for Deep Reinforcement Learning
Oron Anschel, Nir Baram, Nahum Shimkin
cs.AIcs.LGstat.MLarXiv:1611.01929v42016
Full-Gradient Representation for Neural Network Visualization
Suraj Srinivas, Francois Fleuret
cs.LGcs.CVstat.MLarXiv:1905.00780v42019
Provably Efficient Maximum Entropy Exploration
Elad Hazan, Sham M. Kakade, Karan Singh +1
cs.LGcs.AIstat.MLarXiv:1812.02690v22018
Weakly-Supervised Disentanglement Without Compromises
Francesco Locatello, Ben Poole, Gunnar Rätsch +3
cs.LGstat.MLarXiv:2002.02886v42020
Causal machine learning for predicting treatment outcomes
Stefan Feuerriegel, Dennis Frauen, Valentyn Melnychuk +7
cs.LGstat.APstat.MLarXiv:2410.08770v12024
Parallel Spatio-Temporal Attention-Based TCN for Multivariate Time Series Prediction
Fan Jin, Ke Zhang, Yipan Huang +2
cs.LGcs.AIarXiv:2203.00971v12022
Emotions Don't Lie: An Audio-Visual Deepfake Detection Method Using Affective Cues
Trisha Mittal, Uttaran Bhattacharya, Rohan Chandra +2
cs.CVcs.LGcs.SDarXiv:2003.06711v32020
Federated Learning for Open Banking
Guodong Long, Yue Tan, Jing Jiang +1
cs.DCcs.LGarXiv:2108.10749v12021
Towards Universal Sequence Representation Learning for Recommender Systems
Yupeng Hou, Shanlei Mu, Wayne Xin Zhao +3
cs.IRcs.AIcs.LGarXiv:2206.05941v12022
Bilevel Optimization: Convergence Analysis and Enhanced Design
Kaiyi Ji, Junjie Yang, Yingbin Liang
cs.LGmath.OCstat.MLarXiv:2010.07962v32020
Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations
Jaehyeong Jo, Seul Lee, Sung Ju Hwang
cs.LGarXiv:2202.02514v32022
Intelligent Building Control Systems for Thermal Comfort and Energy-Efficiency: A Systematic Review of Artificial Intelligence-Assisted Techniques
Ghezlane Halhoul Merabet, Mohamed Essaaidi, Mohamed Ben Haddou +6
cs.AIcs.LGeess.SYarXiv:2104.02214v12021
Troubling Trends in Machine Learning Scholarship
Zachary C. Lipton, Jacob Steinhardt
stat.MLcs.AIcs.LGarXiv:1807.03341v22018
Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias
Yue Yu, Yuchen Zhuang, Jieyu Zhang +5
cs.CLcs.AIcs.LGarXiv:2306.15895v22023
Finding Neurons in a Haystack: Case Studies with Sparse Probing
Wes Gurnee, Neel Nanda, Matthew Pauly +3
cs.LGcs.AIarXiv:2305.01610v22023
Learning to Learn from Noisy Labeled Data
Junnan Li, Yongkang Wong, Qi Zhao +1
cs.LGcs.CVstat.MLarXiv:1812.05214v22018
Sample-Efficient Reinforcement Learning with Stochastic Ensemble Value Expansion
Jacob Buckman, Danijar Hafner, George Tucker +2
cs.LGcs.AIstat.MLarXiv:1807.01675v22018
Inferring transportation modes from GPS trajectories using a convolutional neural network
Sina Dabiri, Kevin Heaslip
cs.LGstat.MLarXiv:1804.02386v12018
A StrongREJECT for Empty Jailbreaks
Alexandra Souly, Qingyuan Lu, Dillon Bowen +8
cs.LGcs.CLcs.CRarXiv:2402.10260v22024
EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations
Yi-Lun Liao, Brandon Wood, Abhishek Das +1
cs.LGcs.AIphysics.comp-pharXiv:2306.12059v32023
Towards Learning a Generic Agent for Vision-and-Language Navigation via Pre-training
Weituo Hao, Chunyuan Li, Xiujun Li +2
cs.CVcs.CLcs.LGarXiv:2002.10638v22020
On the Global Convergence Rates of Softmax Policy Gradient Methods
Jincheng Mei, Chenjun Xiao, Csaba Szepesvari +1
cs.LGstat.MLarXiv:2005.06392v32020
Image Classification with Deep Learning in the Presence of Noisy Labels: A Survey
Görkem Algan, Ilkay Ulusoy
cs.LGcs.CVstat.MLarXiv:1912.05170v32019
Recursively Summarizing Books with Human Feedback
Jeff Wu, Long Ouyang, Daniel M. Ziegler +4
cs.CLcs.AIcs.LGarXiv:2109.10862v22021
Hierarchical Generation of Molecular Graphs using Structural Motifs
Wengong Jin, Regina Barzilay, Tommi Jaakkola
cs.LGstat.MLarXiv:2002.03230v22020
Grid Long Short-Term Memory
Nal Kalchbrenner, Ivo Danihelka, Alex Graves
cs.NEcs.CLcs.LGarXiv:1507.01526v32015
DeClarE: Debunking Fake News and False Claims using Evidence-Aware Deep Learning
Kashyap Popat, Subhabrata Mukherjee, Andrew Yates +1
cs.CLcs.LGarXiv:1809.06416v12018
Yin and Yang: Balancing and Answering Binary Visual Questions
Peng Zhang, Yash Goyal, Douglas Summers-Stay +2
cs.CLcs.CVcs.LGarXiv:1511.05099v52015
Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks
Georgios Papoudakis, Filippos Christianos, Lukas Schäfer +1
cs.LGcs.AIcs.MAarXiv:2006.07869v42020
Participation is not a Design Fix for Machine Learning
Mona Sloane, Emanuel Moss, Olaitan Awomolo +1
cs.CYcs.LGarXiv:2007.02423v32020
Deep vs. shallow networks : An approximation theory perspective
Hrushikesh Mhaskar, Tomaso Poggio
cs.LGmath.FAarXiv:1608.03287v12016
Earthformer: Exploring Space-Time Transformers for Earth System Forecasting
Zhihan Gao, Xingjian Shi, Hao Wang +4
cs.LGcs.AIcs.CVarXiv:2207.05833v22022
MTH-IDS: A Multi-Tiered Hybrid Intrusion Detection System for Internet of Vehicles
Li Yang, Abdallah Moubayed, Abdallah Shami
cs.CRcs.AIcs.LGarXiv:2105.13289v12021
Keep the Conversation Going: Fixing 162 out of 337 bugs for $0.42 each using ChatGPT
Chunqiu Steven Xia, Lingming Zhang
cs.SEcs.LGarXiv:2304.00385v22023
Wav2CLIP: Learning Robust Audio Representations From CLIP
Ho-Hsiang Wu, Prem Seetharaman, Kundan Kumar +1
cs.SDcs.LGeess.ASarXiv:2110.11499v22021
What does a platypus look like? Generating customized prompts for zero-shot image classification
Sarah Pratt, Ian Covert, Rosanne Liu +1
cs.CVcs.LGarXiv:2209.03320v32022
Tensor Decompositions for temporal knowledge base completion
Timothée Lacroix, Guillaume Obozinski, Nicolas Usunier
stat.MLcs.LGarXiv:2004.04926v12020
A Survey of Sound Source Localization with Deep Learning Methods
Pierre-Amaury Grumiaux, Srđan Kitić, Laurent Girin +1
cs.SDcs.LGeess.ASarXiv:2109.03465v32021
Flexible Diffusion Modeling of Long Videos
William Harvey, Saeid Naderiparizi, Vaden Masrani +2
cs.CVcs.LGarXiv:2205.11495v32022
Privacy-Preserving Machine Learning with Fully Homomorphic Encryption for Deep Neural Network
Joon-Woo Lee, HyungChul Kang, Yongwoo Lee +8
cs.LGcs.CRarXiv:2106.07229v12021
Federated Collaborative Filtering for Privacy-Preserving Personalized Recommendation System
Muhammad Ammad-ud-din, Elena Ivannikova, Suleiman A. Khan +4
cs.IRcs.AIcs.LGarXiv:1901.09888v12019
Agnostic Estimation of Mean and Covariance
Kevin A. Lai, Anup B. Rao, Santosh Vempala
cs.DScs.LGstat.MLarXiv:1604.06968v22016
Query2box: Reasoning over Knowledge Graphs in Vector Space using Box Embeddings
Hongyu Ren, Weihua Hu, Jure Leskovec
cs.LGcs.CLstat.MLarXiv:2002.05969v22020
Learning Two-View Correspondences and Geometry Using Order-Aware Network
Jiahui Zhang, Dawei Sun, Zixin Luo +6
cs.CVcs.CGcs.LGarXiv:1908.04964v12019
Semi-supervised Deep Reinforcement Learning in Support of IoT and Smart City Services
Mehdi Mohammadi, Ala Al-Fuqaha, Mohsen Guizani +1
cs.NIcs.AIcs.LGarXiv:1810.04118v12018
Evaluating the Search Phase of Neural Architecture Search
Kaicheng Yu, Christian Sciuto, Martin Jaggi +2
cs.LGstat.MLarXiv:1902.08142v32019
TiFL: A Tier-based Federated Learning System
Zheng Chai, Ahsan Ali, Syed Zawad +7
cs.LGcs.PFstat.MLarXiv:2001.09249v12020
Neural Nearest Neighbors Networks
Tobias Plötz, Stefan Roth
cs.CVcs.LGarXiv:1810.12575v12018
Transformers Can Do Bayesian Inference
Samuel Müller, Noah Hollmann, Sebastian Pineda Arango +2
cs.LGstat.MLarXiv:2112.10510v72021
DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data
Stephanie Fu, Netanel Tamir, Shobhita Sundaram +4
cs.CVcs.LGarXiv:2306.09344v32023
Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data
Jingyang Ou, Shen Nie, Kaiwen Xue +4
cs.LGcs.CLarXiv:2406.03736v42024
Gradient descent GAN optimization is locally stable
Vaishnavh Nagarajan, J. Zico Kolter
cs.LGcs.AImath.OCarXiv:1706.04156v32017
When Do Neural Nets Outperform Boosted Trees on Tabular Data?
Duncan McElfresh, Sujay Khandagale, Jonathan Valverde +6
cs.LGcs.AIstat.MLarXiv:2305.02997v42023
Intrinsic Motivation and Automatic Curricula via Asymmetric Self-Play
Sainbayar Sukhbaatar, Zeming Lin, Ilya Kostrikov +3
cs.LGarXiv:1703.05407v52017
Motif-based Graph Self-Supervised Learning for Molecular Property Prediction
Zaixi Zhang, Qi Liu, Hao Wang +2
q-bio.QMcs.AIcs.LGarXiv:2110.00987v22021
Multi-Target Regression via Input Space Expansion: Treating Targets as Inputs
Eleftherios Spyromitros-Xioufis, Grigorios Tsoumakas, William Groves +1
cs.LGarXiv:1211.6581v52012
Unsupervised Learning of Disentangled and Interpretable Representations from Sequential Data
Wei-Ning Hsu, Yu Zhang, James Glass
cs.LGcs.CLcs.SDarXiv:1709.07902v12017
Neural Prototype Trees for Interpretable Fine-grained Image Recognition
Meike Nauta, Ron van Bree, Christin Seifert
cs.CVcs.AIcs.LGarXiv:2012.02046v22020

Machine Learning

Learning Model Predictive Control for iterative tasks. A Data-Driven Control Framework

Swapping Autoencoder for Deep Image Manipulation

Averaged-DQN: Variance Reduction and Stabilization for Deep Reinforcement Learning

Full-Gradient Representation for Neural Network Visualization

Provably Efficient Maximum Entropy Exploration

Weakly-Supervised Disentanglement Without Compromises

Causal machine learning for predicting treatment outcomes

Parallel Spatio-Temporal Attention-Based TCN for Multivariate Time Series Prediction

Emotions Don't Lie: An Audio-Visual Deepfake Detection Method Using Affective Cues

Federated Learning for Open Banking

Towards Universal Sequence Representation Learning for Recommender Systems

Bilevel Optimization: Convergence Analysis and Enhanced Design

Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations

Intelligent Building Control Systems for Thermal Comfort and Energy-Efficiency: A Systematic Review of Artificial Intelligence-Assisted Techniques

Troubling Trends in Machine Learning Scholarship

Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias

Finding Neurons in a Haystack: Case Studies with Sparse Probing

Learning to Learn from Noisy Labeled Data

Sample-Efficient Reinforcement Learning with Stochastic Ensemble Value Expansion

Inferring transportation modes from GPS trajectories using a convolutional neural network

A StrongREJECT for Empty Jailbreaks

EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations

Towards Learning a Generic Agent for Vision-and-Language Navigation via Pre-training

On the Global Convergence Rates of Softmax Policy Gradient Methods

Image Classification with Deep Learning in the Presence of Noisy Labels: A Survey

Recursively Summarizing Books with Human Feedback

Hierarchical Generation of Molecular Graphs using Structural Motifs

Grid Long Short-Term Memory

DeClarE: Debunking Fake News and False Claims using Evidence-Aware Deep Learning

Yin and Yang: Balancing and Answering Binary Visual Questions

Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks

Participation is not a Design Fix for Machine Learning

Deep vs. shallow networks : An approximation theory perspective

Earthformer: Exploring Space-Time Transformers for Earth System Forecasting

MTH-IDS: A Multi-Tiered Hybrid Intrusion Detection System for Internet of Vehicles

Keep the Conversation Going: Fixing 162 out of 337 bugs for $0.42 each using ChatGPT

Wav2CLIP: Learning Robust Audio Representations From CLIP

What does a platypus look like? Generating customized prompts for zero-shot image classification

Tensor Decompositions for temporal knowledge base completion

A Survey of Sound Source Localization with Deep Learning Methods

Flexible Diffusion Modeling of Long Videos

Privacy-Preserving Machine Learning with Fully Homomorphic Encryption for Deep Neural Network

Federated Collaborative Filtering for Privacy-Preserving Personalized Recommendation System

Agnostic Estimation of Mean and Covariance

Query2box: Reasoning over Knowledge Graphs in Vector Space using Box Embeddings

Learning Two-View Correspondences and Geometry Using Order-Aware Network

Semi-supervised Deep Reinforcement Learning in Support of IoT and Smart City Services

Evaluating the Search Phase of Neural Architecture Search

TiFL: A Tier-based Federated Learning System

Neural Nearest Neighbors Networks

Transformers Can Do Bayesian Inference

DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data

Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data

Gradient descent GAN optimization is locally stable

When Do Neural Nets Outperform Boosted Trees on Tabular Data?

Intrinsic Motivation and Automatic Curricula via Asymmetric Self-Play

Motif-based Graph Self-Supervised Learning for Molecular Property Prediction

Multi-Target Regression via Input Space Expansion: Treating Targets as Inputs

Unsupervised Learning of Disentangled and Interpretable Representations from Sequential Data

Neural Prototype Trees for Interpretable Fine-grained Image Recognition