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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11,221 to 11,280 of 20,023

Random Features Strengthen Graph Neural Networks
Ryoma Sato, Makoto Yamada, Hisashi Kashima
cs.LGstat.MLarXiv:2002.03155v32020
LDP-FL: Practical Private Aggregation in Federated Learning with Local Differential Privacy
Lichao Sun, Jianwei Qian, Xun Chen
cs.CRcs.LGarXiv:2007.15789v22020
Fishr: Invariant Gradient Variances for Out-of-Distribution Generalization
Alexandre Rame, Corentin Dancette, Matthieu Cord
cs.LGcs.AIcs.CVarXiv:2109.02934v32021
Efficient Search for Diverse Coherent Explanations
Chris Russell
cs.LGstat.MLarXiv:1901.04909v12019
Self-supervised Augmentation Consistency for Adapting Semantic Segmentation
Nikita Araslanov, Stefan Roth
cs.CVcs.LGarXiv:2105.00097v12021
Language Models of Code are Few-Shot Commonsense Learners
Aman Madaan, Shuyan Zhou, Uri Alon +2
cs.CLcs.LGarXiv:2210.07128v32022
SE3-Nets: Learning Rigid Body Motion using Deep Neural Networks
Arunkumar Byravan, Dieter Fox
cs.LGcs.AIcs.CVarXiv:1606.02378v32016
Houdini: Fooling Deep Structured Prediction Models
Moustapha Cisse, Yossi Adi, Natalia Neverova +1
stat.MLcs.AIcs.CRarXiv:1707.05373v12017
Overfitting or perfect fitting? Risk bounds for classification and regression rules that interpolate
Mikhail Belkin, Daniel Hsu, Partha Mitra
stat.MLcond-mat.stat-mechcs.LGarXiv:1806.05161v32018
A Rank Stabilization Scaling Factor for Fine-Tuning with LoRA
Damjan Kalajdzievski
cs.CLcs.LGarXiv:2312.03732v12023
Training Convolutional Networks with Noisy Labels
Sainbayar Sukhbaatar, Joan Bruna, Manohar Paluri +2
cs.CVcs.LGcs.NEarXiv:1406.2080v42014
Expressive Whole-Body Control for Humanoid Robots
Xuxin Cheng, Yandong Ji, Junming Chen +3
cs.ROcs.LGarXiv:2402.16796v22024
Improved training of end-to-end attention models for speech recognition
Albert Zeyer, Kazuki Irie, Ralf Schlüter +1
cs.CLcs.LGstat.MLarXiv:1805.03294v12018
Approximating Continuous Functions by ReLU Nets of Minimal Width
Boris Hanin, Mark Sellke
stat.MLcs.CCcs.LGarXiv:1710.11278v22017
Variants of RMSProp and Adagrad with Logarithmic Regret Bounds
Mahesh Chandra Mukkamala, Matthias Hein
cs.LGcs.AIcs.CVarXiv:1706.05507v22017
SPACE: Unsupervised Object-Oriented Scene Representation via Spatial Attention and Decomposition
Zhixuan Lin, Yi-Fu Wu, Skand Vishwanath Peri +5
cs.LGcs.CVeess.IVarXiv:2001.02407v32020
Improving the Improved Training of Wasserstein GANs: A Consistency Term and Its Dual Effect
Xiang Wei, Boqing Gong, Zixia Liu +2
cs.CVcs.LGstat.MLarXiv:1803.01541v12018
One-shot Voice Conversion by Separating Speaker and Content Representations with Instance Normalization
Ju-chieh Chou, Cheng-chieh Yeh, Hung-yi Lee
cs.LGcs.SDeess.ASarXiv:1904.05742v42019
Optimal Approximation with Sparsely Connected Deep Neural Networks
Helmut Bölcskei, Philipp Grohs, Gitta Kutyniok +1
cs.LGcs.ITmath.FAarXiv:1705.01714v42017
Spiking Neural Networks and Online Learning: An Overview and Perspectives
Jesus L. Lobo, Javier Del Ser, Albert Bifet +1
cs.NEcs.AIcs.LGarXiv:1908.08019v12019
Lightweight Deep Learning for Resource-Constrained Environments: A Survey
Hou-I Liu, Marco Galindo, Hongxia Xie +4
cs.CVcs.LGarXiv:2404.07236v22024
Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions
Sara Magliacane, Thijs van Ommen, Tom Claassen +3
cs.LGstat.MLarXiv:1707.06422v32017
Beyond Temporal Pooling: Recurrence and Temporal Convolutions for Gesture Recognition in Video
Lionel Pigou, Aäron van den Oord, Sander Dieleman +2
cs.CVcs.AIcs.LGarXiv:1506.01911v32015
Spam Review Detection with Graph Convolutional Networks
Ao Li, Zhou Qin, Runshi Liu +2
cs.IRcs.LGcs.NIarXiv:1908.10679v12019
Backdoor Attacks to Graph Neural Networks
Zaixi Zhang, Jinyuan Jia, Binghui Wang +1
cs.CRcs.LGarXiv:2006.11165v42020
Data Filtering Networks
Alex Fang, Albin Madappally Jose, Amit Jain +3
cs.AIcs.LGarXiv:2309.17425v32023
CometKiwi: IST-Unbabel 2022 Submission for the Quality Estimation Shared Task
Ricardo Rei, Marcos Treviso, Nuno M. Guerreiro +9
cs.CLcs.LGarXiv:2209.06243v12022
Stay Within Your Bounds: Distance-Guided Decoding for Guaranteed Context-Free Grammar Compliance
Vincenzo Collura, Karim Tit, Eleonora Giunchiglia +2
cs.AIcs.CLcs.FLarXiv:2608.28229v12026
Generative Adversarial Imitation from Observation
Faraz Torabi, Garrett Warnell, Peter Stone
cs.LGcs.AIstat.MLarXiv:1807.06158v42018
Cut and Learn for Unsupervised Object Detection and Instance Segmentation
Xudong Wang, Rohit Girdhar, Stella X. Yu +1
cs.CVcs.AIcs.LGarXiv:2301.11320v12023
Under-Mattress Temporal Sensing for Next-Day Agitation Risk Scoring in Dementia Wards
Zhen Liu, Marta Bono, Robbe Decloedt +3
cs.AIcs.LGarXiv:2608.28152v12026
Combining Differentiable PDE Solvers and Graph Neural Networks for Fluid Flow Prediction
Filipe de Avila Belbute-Peres, Thomas D. Economon, J. Zico Kolter
cs.LGphysics.comp-phstat.MLarXiv:2007.04439v32020
A Survey of Vision-Language Pre-Trained Models
Yifan Du, Zikang Liu, Junyi Li +1
cs.CVcs.CLcs.LGarXiv:2202.10936v22022
Retinal vessel segmentation based on Fully Convolutional Neural Networks
Américo Oliveira, Sérgio Pereira, Carlos A. Silva
eess.IVcs.LGstat.MLarXiv:1812.07110v22018
Fast Weight Attention for Continual Learning
Yifan Zhang, Steve Ta, Jasper Zhang +8
cs.LGcs.CLstat.MLarXiv:2608.27763v12026
Neural Architectures for Nested NER through Linearization
Jana Straková, Milan Straka, Jan Hajič
cs.CLcs.LGarXiv:1908.06926v12019
DP-CGAN: Differentially Private Synthetic Data and Label Generation
Reihaneh Torkzadehmahani, Peter Kairouz, Benedict Paten
cs.LGstat.MLarXiv:2001.09700v12020
Improving Vision-and-Language Navigation with Image-Text Pairs from the Web
Arjun Majumdar, Ayush Shrivastava, Stefan Lee +3
cs.CVcs.AIcs.CLarXiv:2004.14973v22020
Robust and Generalizable Visual Representation Learning via Random Convolutions
Zhenlin Xu, Deyi Liu, Junlin Yang +2
cs.CVcs.LGarXiv:2007.13003v32020
GNM: A General Navigation Model to Drive Any Robot
Dhruv Shah, Ajay Sridhar, Arjun Bhorkar +2
cs.ROcs.AIcs.LGarXiv:2210.03370v22022
Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning
Mitsuhiko Nakamoto, Yuexiang Zhai, Anikait Singh +5
cs.LGcs.AIarXiv:2303.05479v42023
Well-tuned Simple Nets Excel on Tabular Datasets
Arlind Kadra, Marius Lindauer, Frank Hutter +1
cs.LGarXiv:2106.11189v22021
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models
Benedek Rozemberczki, Paul Scherer, Yixuan He +8
cs.LGcs.AIcs.SIarXiv:2104.07788v32021
Algorithmic information theory
Peter D. Grunwald, Paul M. B. Vitanyi
cs.ITcs.LGmath.STarXiv:0809.2754v22008
Deep Reinforcement Learning for Join Order Enumeration
Ryan Marcus, Olga Papaemmanouil
cs.DBcs.LGarXiv:1803.00055v22018
Ensemble Distribution Distillation
Andrey Malinin, Bruno Mlodozeniec, Mark Gales
stat.MLcs.LGarXiv:1905.00076v32019
Undetectable Watermarks for Language Models
Miranda Christ, Sam Gunn, Or Zamir
cs.CRcs.CLcs.LGarXiv:2306.09194v12023
USR: An Unsupervised and Reference Free Evaluation Metric for Dialog Generation
Shikib Mehri, Maxine Eskenazi
cs.CLcs.LGarXiv:2005.00456v12020
MST-GAT: A Multimodal Spatial-Temporal Graph Attention Network for Time Series Anomaly Detection
Chaoyue Ding, Shiliang Sun, Jing Zhao
cs.LGcs.AIarXiv:2310.11169v12023
Listen, Denoise, Action! Audio-Driven Motion Synthesis with Diffusion Models
Simon Alexanderson, Rajmund Nagy, Jonas Beskow +1
cs.LGcs.CVcs.GRarXiv:2211.09707v22022
Forecasting Economics and Financial Time Series: ARIMA vs. LSTM
Sima Siami-Namini, Akbar Siami Namin
cs.LGq-fin.STstat.MLarXiv:1803.06386v12018
Using Human Feedback to Fine-tune Diffusion Models without Any Reward Model
Kai Yang, Jian Tao, Jiafei Lyu +6
cs.LGcs.AIcs.CVarXiv:2311.13231v32023
Clustering with t-SNE, provably
George C. Linderman, Stefan Steinerberger
cs.LGstat.MLarXiv:1706.02582v12017
Interventional Few-Shot Learning
Zhongqi Yue, Hanwang Zhang, Qianru Sun +1
cs.LGcs.CVarXiv:2009.13000v22020
q-means: A quantum algorithm for unsupervised machine learning
Iordanis Kerenidis, Jonas Landman, Alessandro Luongo +1
quant-phcs.LGarXiv:1812.03584v22018
Patch n' Pack: NaViT, a Vision Transformer for any Aspect Ratio and Resolution
Mostafa Dehghani, Basil Mustafa, Josip Djolonga +12
cs.CVcs.AIcs.LGarXiv:2307.06304v12023
A Constructive Prediction of the Generalization Error Across Scales
Jonathan S. Rosenfeld, Amir Rosenfeld, Yonatan Belinkov +1
cs.LGcs.CLcs.CVarXiv:1909.12673v22019
Driver Distraction Identification with an Ensemble of Convolutional Neural Networks
Hesham M. Eraqi, Yehya Abouelnaga, Mohamed H. Saad +1
cs.CVcs.LGstat.MLarXiv:1901.09097v12019
P+: Extended Textual Conditioning in Text-to-Image Generation
Andrey Voynov, Qinghao Chu, Daniel Cohen-Or +1
cs.CVcs.CLcs.GRarXiv:2303.09522v32023
Masking: A New Perspective of Noisy Supervision
Bo Han, Jiangchao Yao, Gang Niu +4
cs.LGstat.MLarXiv:1805.08193v22018

Machine Learning

Random Features Strengthen Graph Neural Networks

LDP-FL: Practical Private Aggregation in Federated Learning with Local Differential Privacy

Fishr: Invariant Gradient Variances for Out-of-Distribution Generalization

Efficient Search for Diverse Coherent Explanations

Self-supervised Augmentation Consistency for Adapting Semantic Segmentation

Language Models of Code are Few-Shot Commonsense Learners

SE3-Nets: Learning Rigid Body Motion using Deep Neural Networks

Houdini: Fooling Deep Structured Prediction Models

Overfitting or perfect fitting? Risk bounds for classification and regression rules that interpolate

A Rank Stabilization Scaling Factor for Fine-Tuning with LoRA

Training Convolutional Networks with Noisy Labels

Expressive Whole-Body Control for Humanoid Robots

Improved training of end-to-end attention models for speech recognition

Approximating Continuous Functions by ReLU Nets of Minimal Width

Variants of RMSProp and Adagrad with Logarithmic Regret Bounds

SPACE: Unsupervised Object-Oriented Scene Representation via Spatial Attention and Decomposition

Improving the Improved Training of Wasserstein GANs: A Consistency Term and Its Dual Effect

One-shot Voice Conversion by Separating Speaker and Content Representations with Instance Normalization

Optimal Approximation with Sparsely Connected Deep Neural Networks

Spiking Neural Networks and Online Learning: An Overview and Perspectives

Lightweight Deep Learning for Resource-Constrained Environments: A Survey

Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions

Beyond Temporal Pooling: Recurrence and Temporal Convolutions for Gesture Recognition in Video

Spam Review Detection with Graph Convolutional Networks

Backdoor Attacks to Graph Neural Networks

Data Filtering Networks

CometKiwi: IST-Unbabel 2022 Submission for the Quality Estimation Shared Task

Stay Within Your Bounds: Distance-Guided Decoding for Guaranteed Context-Free Grammar Compliance

Generative Adversarial Imitation from Observation

Cut and Learn for Unsupervised Object Detection and Instance Segmentation

Under-Mattress Temporal Sensing for Next-Day Agitation Risk Scoring in Dementia Wards

Combining Differentiable PDE Solvers and Graph Neural Networks for Fluid Flow Prediction

A Survey of Vision-Language Pre-Trained Models

Retinal vessel segmentation based on Fully Convolutional Neural Networks

Fast Weight Attention for Continual Learning

Neural Architectures for Nested NER through Linearization

DP-CGAN: Differentially Private Synthetic Data and Label Generation

Improving Vision-and-Language Navigation with Image-Text Pairs from the Web

Robust and Generalizable Visual Representation Learning via Random Convolutions

GNM: A General Navigation Model to Drive Any Robot

Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning

Well-tuned Simple Nets Excel on Tabular Datasets

PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models

Algorithmic information theory

Deep Reinforcement Learning for Join Order Enumeration

Ensemble Distribution Distillation

Undetectable Watermarks for Language Models

USR: An Unsupervised and Reference Free Evaluation Metric for Dialog Generation

MST-GAT: A Multimodal Spatial-Temporal Graph Attention Network for Time Series Anomaly Detection

Listen, Denoise, Action! Audio-Driven Motion Synthesis with Diffusion Models

Forecasting Economics and Financial Time Series: ARIMA vs. LSTM

Using Human Feedback to Fine-tune Diffusion Models without Any Reward Model

Clustering with t-SNE, provably

Interventional Few-Shot Learning

q-means: A quantum algorithm for unsupervised machine learning

Patch n' Pack: NaViT, a Vision Transformer for any Aspect Ratio and Resolution

A Constructive Prediction of the Generalization Error Across Scales

Driver Distraction Identification with an Ensemble of Convolutional Neural Networks

P+: Extended Textual Conditioning in Text-to-Image Generation

Masking: A New Perspective of Noisy Supervision