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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9,181 to 9,240 of 20,199

Computed Tomography Reconstruction Using Deep Image Prior and Learned Reconstruction Methods
Daniel Otero Baguer, Johannes Leuschner, Maximilian Schmidt
eess.IVcs.CVcs.LGarXiv:2003.04989v22020
Improving Position Encoding of Transformers for Multivariate Time Series Classification
Navid Mohammadi Foumani, Chang Wei Tan, Geoffrey I. Webb +1
cs.LGcs.CVarXiv:2305.16642v12023
Learning to Complement Humans
Bryan Wilder, Eric Horvitz, Ece Kamar
cs.AIcs.LGarXiv:2005.00582v12020
SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning
Ning Miao, Yee Whye Teh, Tom Rainforth
cs.AIcs.CLcs.LGarXiv:2308.00436v32023
Token-Budget-Aware LLM Reasoning
Tingxu Han, Zhenting Wang, Chunrong Fang +3
cs.CLcs.AIcs.LGarXiv:2412.18547v52024
Music Gesture for Visual Sound Separation
Chuang Gan, Deng Huang, Hang Zhao +2
cs.CVcs.LGcs.MMarXiv:2004.09476v12020
Strategic Classification from Revealed Preferences
Jinshuo Dong, Aaron Roth, Zachary Schutzman +2
cs.LGcs.DScs.GTarXiv:1710.07887v12017
Anatomy of Catastrophic Forgetting: Hidden Representations and Task Semantics
Vinay V. Ramasesh, Ethan Dyer, Maithra Raghu
cs.LGcs.CVstat.MLarXiv:2007.07400v12020
Tighter Variational Bounds are Not Necessarily Better
Tom Rainforth, Adam R. Kosiorek, Tuan Anh Le +4
stat.MLcs.LGarXiv:1802.04537v32018
Mean Field Residual Networks: On the Edge of Chaos
Greg Yang, Samuel S. Schoenholz
cs.NEcond-mat.dis-nncs.LGarXiv:1712.08969v12017
Slow and Stale Gradients Can Win the Race: Error-Runtime Trade-offs in Distributed SGD
Sanghamitra Dutta, Gauri Joshi, Soumyadip Ghosh +2
stat.MLcs.LGarXiv:1803.01113v32018
Continuous diffusion for categorical data
Sander Dieleman, Laurent Sartran, Arman Roshannai +11
cs.CLcs.LGarXiv:2211.15089v32022
DART: Dropouts meet Multiple Additive Regression Trees
K. V. Rashmi, Ran Gilad-Bachrach
cs.LGstat.MLarXiv:1505.01866v12015
DigiRL: Training In-The-Wild Device-Control Agents with Autonomous Reinforcement Learning
Hao Bai, Yifei Zhou, Mert Cemri +4
cs.LGarXiv:2406.11896v12024
Residual Attention U-Net for Automated Multi-Class Segmentation of COVID-19 Chest CT Images
Xiaocong Chen, Lina Yao, Yu Zhang
eess.IVcs.CVcs.LGarXiv:2004.05645v12020
Recent Developments in Transformer Inference Deployment on FPGA Platforms: A Survey
Arjan Blankestijn, Uraz Odyurt, Amirreza Yousefzadeh
cs.LGcs.ARarXiv:2609.01212v12026
Charformer: Fast Character Transformers via Gradient-based Subword Tokenization
Yi Tay, Vinh Q. Tran, Sebastian Ruder +7
cs.CLcs.AIcs.LGarXiv:2106.12672v32021
Ground Truth Evaluation of Neural Network Explanations with CLEVR-XAI
Leila Arras, Ahmed Osman, Wojciech Samek
cs.CVcs.LGcs.NEarXiv:2003.07258v22020
Visual Dexterity: In-Hand Reorientation of Novel and Complex Object Shapes
Tao Chen, Megha Tippur, Siyang Wu +3
cs.ROcs.AIcs.CVarXiv:2211.11744v32022
Density Sensitive Hashing
Yue Lin, Deng Cai, Cheng Li
cs.IRcs.LGarXiv:1205.2930v12012
Adversarial Online Classification with a Preview
Roi Livni, Sahil Singla
cs.LGcs.DSarXiv:2608.29503v12026
QEBA: Query-Efficient Boundary-Based Blackbox Attack
Huichen Li, Xiaojun Xu, Xiaolu Zhang +2
cs.LGcs.CVstat.MLarXiv:2005.14137v12020
"Brilliant AI Doctor" in Rural China: Tensions and Challenges in AI-Powered CDSS Deployment
Dakuo Wang, Liuping Wang, Zhan Zhang +5
cs.HCcs.AIcs.LGarXiv:2101.01524v22021
How Robust is Google's Bard to Adversarial Image Attacks?
Yinpeng Dong, Huanran Chen, Jiawei Chen +6
cs.CVcs.AIcs.CRarXiv:2309.11751v22023
BadEncoder: Backdoor Attacks to Pre-trained Encoders in Self-Supervised Learning
Jinyuan Jia, Yupei Liu, Neil Zhenqiang Gong
cs.CRcs.CVcs.LGarXiv:2108.00352v12021
WT5?! Training Text-to-Text Models to Explain their Predictions
Sharan Narang, Colin Raffel, Katherine Lee +3
cs.CLcs.LGarXiv:2004.14546v12020
Target-Aware State-Adaptive $p$-Dirichlet Graph Neural Regression for Non-Invasive Body-Composition Estimation
Nadejda Drenska, Matthew Lemoine, Gowri Priya Sunkara +3
cs.LGarXiv:2608.29496v12026
A Target-Centric Survey of Quantization-Aware Training
Jiamin Song, Mengjie Zhao, Zijing Wang +6
cs.LGarXiv:2608.29667v12026
Wasserstein Fair Classification
Ray Jiang, Aldo Pacchiano, Tom Stepleton +2
stat.MLcs.LGarXiv:1907.12059v12019
Cold-start Active Learning through Self-supervised Language Modeling
Michelle Yuan, Hsuan-Tien Lin, Jordan Boyd-Graber
cs.CLcs.LGarXiv:2010.09535v22020
PMR: Prototypical Modal Rebalance for Multimodal Learning
Yunfeng Fan, Wenchao Xu, Haozhao Wang +2
cs.LGarXiv:2211.07089v12022
Extending Adversarial Attacks and Defenses to Deep 3D Point Cloud Classifiers
Daniel Liu, Ronald Yu, Hao Su
cs.CVcs.CRcs.LGarXiv:1901.03006v42019
Distributed learning with regularized least squares
Shao-Bo Lin, Xin Guo, Ding-Xuan Zhou
cs.LGstat.MLarXiv:1608.03339v22016
Compound Rank-k Projections for Bilinear Analysis
Xiaojun Chang, Feiping Nie, Sen Wang +3
cs.LGarXiv:1411.6231v32014
Deep Reinforcement Learning for Vision-Based Robotic Grasping: A Simulated Comparative Evaluation of Off-Policy Methods
Deirdre Quillen, Eric Jang, Ofir Nachum +3
cs.ROcs.LGstat.MLarXiv:1802.10264v22018
Towards Playing Full MOBA Games with Deep Reinforcement Learning
Deheng Ye, Guibin Chen, Wen Zhang +15
cs.AIcs.LGarXiv:2011.12692v42020
A deep active learning system for species identification and counting in camera trap images
Mohammad Sadegh Norouzzadeh, Dan Morris, Sara Beery +3
cs.LGcs.CVeess.IVarXiv:1910.09716v12019
Task-Oriented Communication for Multi-Device Cooperative Edge Inference
Jiawei Shao, Yuyi Mao, Jun Zhang
eess.SPcs.LGarXiv:2109.00172v32021
Triplet Probabilistic Embedding for Face Verification and Clustering
Swami Sankaranarayanan, Azadeh Alavi, Carlos Castillo +1
cs.CVcs.LGstat.MLarXiv:1604.05417v32016
Quantifying the Effect of Sentiment on Information Diffusion in Social Media
Emilio Ferrara, Zeyao Yang
cs.SIcs.LGphysics.soc-pharXiv:1506.06072v12015
Improving Semantic Embedding Consistency by Metric Learning for Zero-Shot Classification
Maxime Bucher, Stéphane Herbin, Frédéric Jurie
cs.CVcs.AIcs.LGarXiv:1607.08085v12016
Adaptive Laplace Mechanism: Differential Privacy Preservation in Deep Learning
NhatHai Phan, Xintao Wu, Han Hu +1
cs.CRcs.LGstat.MLarXiv:1709.05750v22017
On the Dimensionality of Word Embedding
Zi Yin, Yuanyuan Shen
cs.LGcs.CLstat.MLarXiv:1812.04224v12018
Deep Reinforcement Learning for Industrial Insertion Tasks with Visual Inputs and Natural Rewards
Gerrit Schoettler, Ashvin Nair, Jianlan Luo +4
cs.ROcs.CVcs.LGarXiv:1906.05841v22019
Relational Task Generation Language: A Declarative Specification Framework for Relational Deep Learning
Oleksii Kolesnichenko, Jakub Peleška, Gustav Šír
cs.PLcs.DBcs.LGarXiv:2609.01292v12026
Differentially Private Release and Learning of Threshold Functions
Mark Bun, Kobbi Nissim, Uri Stemmer +1
cs.CRcs.LGarXiv:1504.07553v22015
Agriculture-Vision: A Large Aerial Image Database for Agricultural Pattern Analysis
Mang Tik Chiu, Xingqian Xu, Yunchao Wei +12
cs.CVcs.CYcs.LGarXiv:2001.01306v22020
Hypothesis Testing for Automated Community Detection in Networks
Peter J. Bickel, Purnamrita Sarkar
stat.MLcs.LGcs.SIarXiv:1311.2694v22013
On the Error of Random Fourier Features
Danica J. Sutherland, Jeff Schneider
cs.LGstat.MLarXiv:1506.02785v12015
Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts
Mikayel Samvelyan, Sharath Chandra Raparthy, Andrei Lupu +9
cs.CLcs.AIcs.LGarXiv:2402.16822v32024
BayesNAS: A Bayesian Approach for Neural Architecture Search
Hongpeng Zhou, Minghao Yang, Jun Wang +1
cs.LGstat.MLarXiv:1905.04919v22019
Holistic Evaluation of Text-To-Image Models
Tony Lee, Michihiro Yasunaga, Chenlin Meng +15
cs.CVcs.LGarXiv:2311.04287v12023
Distortion Agnostic Deep Watermarking
Xiyang Luo, Ruohan Zhan, Huiwen Chang +2
cs.MMcs.CVcs.LGarXiv:2001.04580v12020
Rethinking Architecture Selection in Differentiable NAS
Ruochen Wang, Minhao Cheng, Xiangning Chen +2
cs.LGcs.CVarXiv:2108.04392v12021
Improving LoRA in Privacy-preserving Federated Learning
Youbang Sun, Zitao Li, Yaliang Li +1
cs.LGcs.CRcs.DCarXiv:2403.12313v12024
A General Path-Based Representation for Predicting Program Properties
Uri Alon, Meital Zilberstein, Omer Levy +1
cs.PLcs.LGarXiv:1803.09544v32018
Recurrent Topic-Transition GAN for Visual Paragraph Generation
Xiaodan Liang, Zhiting Hu, Hao Zhang +2
cs.CVcs.AIcs.LGarXiv:1703.07022v22017
Temporally Distributed Networks for Fast Video Semantic Segmentation
Ping Hu, Fabian Caba Heilbron, Oliver Wang +3
cs.CVcs.LGcs.MMarXiv:2004.01800v22020
Repeat After Me: Transformers are Better than State Space Models at Copying
Samy Jelassi, David Brandfonbrener, Sham M. Kakade +1
cs.LGcs.AIcs.CLarXiv:2402.01032v22024
Few-shot classification in Named Entity Recognition Task
Alexander Fritzler, Varvara Logacheva, Maksim Kretov
cs.CLcs.LGstat.MLarXiv:1812.06158v12018

Machine Learning

Computed Tomography Reconstruction Using Deep Image Prior and Learned Reconstruction Methods

Improving Position Encoding of Transformers for Multivariate Time Series Classification

Learning to Complement Humans

SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning

Token-Budget-Aware LLM Reasoning

Music Gesture for Visual Sound Separation

Strategic Classification from Revealed Preferences

Anatomy of Catastrophic Forgetting: Hidden Representations and Task Semantics

Tighter Variational Bounds are Not Necessarily Better

Mean Field Residual Networks: On the Edge of Chaos

Slow and Stale Gradients Can Win the Race: Error-Runtime Trade-offs in Distributed SGD

Continuous diffusion for categorical data

DART: Dropouts meet Multiple Additive Regression Trees

DigiRL: Training In-The-Wild Device-Control Agents with Autonomous Reinforcement Learning

Residual Attention U-Net for Automated Multi-Class Segmentation of COVID-19 Chest CT Images

Recent Developments in Transformer Inference Deployment on FPGA Platforms: A Survey

Charformer: Fast Character Transformers via Gradient-based Subword Tokenization

Ground Truth Evaluation of Neural Network Explanations with CLEVR-XAI

Visual Dexterity: In-Hand Reorientation of Novel and Complex Object Shapes

Density Sensitive Hashing

Adversarial Online Classification with a Preview

QEBA: Query-Efficient Boundary-Based Blackbox Attack

"Brilliant AI Doctor" in Rural China: Tensions and Challenges in AI-Powered CDSS Deployment

How Robust is Google's Bard to Adversarial Image Attacks?

BadEncoder: Backdoor Attacks to Pre-trained Encoders in Self-Supervised Learning

WT5?! Training Text-to-Text Models to Explain their Predictions

Target-Aware State-Adaptive $p$-Dirichlet Graph Neural Regression for Non-Invasive Body-Composition Estimation

A Target-Centric Survey of Quantization-Aware Training

Wasserstein Fair Classification

Cold-start Active Learning through Self-supervised Language Modeling

PMR: Prototypical Modal Rebalance for Multimodal Learning

Extending Adversarial Attacks and Defenses to Deep 3D Point Cloud Classifiers

Distributed learning with regularized least squares

Compound Rank-k Projections for Bilinear Analysis

Deep Reinforcement Learning for Vision-Based Robotic Grasping: A Simulated Comparative Evaluation of Off-Policy Methods

Towards Playing Full MOBA Games with Deep Reinforcement Learning

A deep active learning system for species identification and counting in camera trap images

Task-Oriented Communication for Multi-Device Cooperative Edge Inference

Triplet Probabilistic Embedding for Face Verification and Clustering

Quantifying the Effect of Sentiment on Information Diffusion in Social Media

Improving Semantic Embedding Consistency by Metric Learning for Zero-Shot Classification

Adaptive Laplace Mechanism: Differential Privacy Preservation in Deep Learning

On the Dimensionality of Word Embedding

Deep Reinforcement Learning for Industrial Insertion Tasks with Visual Inputs and Natural Rewards

Relational Task Generation Language: A Declarative Specification Framework for Relational Deep Learning

Differentially Private Release and Learning of Threshold Functions

Agriculture-Vision: A Large Aerial Image Database for Agricultural Pattern Analysis

Hypothesis Testing for Automated Community Detection in Networks

On the Error of Random Fourier Features

Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts

BayesNAS: A Bayesian Approach for Neural Architecture Search

Holistic Evaluation of Text-To-Image Models

Distortion Agnostic Deep Watermarking

Rethinking Architecture Selection in Differentiable NAS

Improving LoRA in Privacy-preserving Federated Learning

A General Path-Based Representation for Predicting Program Properties

Recurrent Topic-Transition GAN for Visual Paragraph Generation

Temporally Distributed Networks for Fast Video Semantic Segmentation

Repeat After Me: Transformers are Better than State Space Models at Copying

Few-shot classification in Named Entity Recognition Task