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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9,841 to 9,900 of 19,970

ResearchAgent: Iterative Research Idea Generation over Scientific Literature with Large Language Models
Jinheon Baek, Sujay Kumar Jauhar, Silviu Cucerzan +1
cs.CLcs.AIcs.LGarXiv:2404.07738v22024
FedMix: Approximation of Mixup under Mean Augmented Federated Learning
Tehrim Yoon, Sumin Shin, Sung Ju Hwang +1
cs.LGcs.AIcs.CVarXiv:2107.00233v12021
S3C-LLM: Skill-Code Guided Agentic Language Models for Spectrum-to-Structure Elucidation
Xuanle Zhao, Xinyuan Cai, Xiang Cheng +1
cs.LGcs.CLarXiv:2608.30910v12026
Invariant Rationalization
Shiyu Chang, Yang Zhang, Mo Yu +1
cs.LGcs.AIcs.CLarXiv:2003.09772v12020
Mixout: Effective Regularization to Finetune Large-scale Pretrained Language Models
Cheolhyoung Lee, Kyunghyun Cho, Wanmo Kang
cs.LGstat.MLarXiv:1909.11299v22019
Learning to Search Better Than Your Teacher
Kai-Wei Chang, Akshay Krishnamurthy, Alekh Agarwal +2
cs.LGstat.MLarXiv:1502.02206v22015
Wasserstein Weisfeiler-Lehman Graph Kernels
Matteo Togninalli, Elisabetta Ghisu, Felipe Llinares-López +2
cs.LGq-bio.MNstat.MLarXiv:1906.01277v22019
A Poisson-Gaussian Denoising Dataset with Real Fluorescence Microscopy Images
Yide Zhang, Yinhao Zhu, Evan Nichols +4
cs.CVcs.LGeess.IVarXiv:1812.10366v22018
Generalization in Reinforcement Learning by Soft Data Augmentation
Nicklas Hansen, Xiaolong Wang
cs.LGarXiv:2011.13389v22020
SingProbe Technical Report
Sing Team
cs.CRcs.AIcs.CLarXiv:2608.30703v12026
Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs
Yongqiang Chen, Yonggang Zhang, Yatao Bian +6
cs.LGarXiv:2202.05441v32022
E(n) Equivariant Normalizing Flows
Victor Garcia Satorras, Emiel Hoogeboom, Fabian B. Fuchs +2
cs.LGphysics.chem-phstat.MLarXiv:2105.09016v42021
Interpretable and Efficient Heterogeneous Graph Convolutional Network
Yaming Yang, Ziyu Guan, Jianxin Li +3
cs.LGcs.SIstat.MLarXiv:2005.13183v32020
Context Staircase: Signature-Aligned Dynamics of Token Embeddings under Small Initialization
Junjie Yao, Liangkai Hang, Zhi-Qin John Xu
cs.LGcs.CLarXiv:2608.30315v12026
Learning Where Outcomes Change:Credit-Addressable Reasoning for Multimodal Geometry
Jiani Guo, Junjie Wang, Jie Wu +5
cs.LGcs.CLarXiv:2608.30457v12026
Synthesis of Compositional Animations from Textual Descriptions
Anindita Ghosh, Noshaba Cheema, Cennet Oguz +2
cs.CVcs.LGarXiv:2103.14675v62021
Fully Convolutional Architectures for Multi-Class Segmentation in Chest Radiographs
Alexey A. Novikov, Dimitrios Lenis, David Major +3
cs.CVcs.LGarXiv:1701.08816v42017
VIBE: Video Instruction-aligned Background music gEneration
Aryan Vijay Bhosale, Vaibhavi Lokegaonkar, Vishnu Raj +5
cs.SDcs.AIcs.CLarXiv:2608.30125v12026
An Empirical Evaluation of Similarity Measures for Time Series Classification
Joan Serrà, Josep Lluis Arcos
cs.LGcs.CVstat.MLarXiv:1401.3973v12014
Learning to Pivot with Adversarial Networks
Gilles Louppe, Michael Kagan, Kyle Cranmer
stat.MLcs.LGcs.NEarXiv:1611.01046v32016
L-Shapley and C-Shapley: Efficient Model Interpretation for Structured Data
Jianbo Chen, Le Song, Martin J. Wainwright +1
cs.LGstat.MLarXiv:1808.02610v12018
How Much Reading Does Reading Comprehension Require? A Critical Investigation of Popular Benchmarks
Divyansh Kaushik, Zachary C. Lipton
cs.CLcs.AIcs.LGarXiv:1808.04926v22018
Towards Deeper Graph Neural Networks with Differentiable Group Normalization
Kaixiong Zhou, Xiao Huang, Yuening Li +3
cs.LGstat.MLarXiv:2006.06972v12020
Capsule Network Performance on Complex Data
Edgar Xi, Selina Bing, Yang Jin
stat.MLcs.LGarXiv:1712.03480v12017
Spatial Deep Learning for Wireless Scheduling
Wei Cui, Kaiming Shen, Wei Yu
eess.SPcs.ITcs.LGarXiv:1808.01486v32018
Cryptocurrency Portfolio Management with Deep Reinforcement Learning
Zhengyao Jiang, Jinjun Liang
cs.LGarXiv:1612.01277v52016
Interpreting and Unifying Graph Neural Networks with An Optimization Framework
Meiqi Zhu, Xiao Wang, Chuan Shi +2
cs.LGcs.SIarXiv:2101.11859v12021
On the Necessity of Auditable Algorithmic Definitions for Machine Unlearning
Anvith Thudi, Hengrui Jia, Ilia Shumailov +1
cs.LGcs.AIcs.CRarXiv:2110.11891v22021
Better Fine-Tuning by Reducing Representational Collapse
Armen Aghajanyan, Akshat Shrivastava, Anchit Gupta +3
cs.LGcs.CLstat.MLarXiv:2008.03156v12020
Conditioning by adaptive sampling for robust design
David H. Brookes, Hahnbeom Park, Jennifer Listgarten
cs.LGstat.MLarXiv:1901.10060v92019
TernaryBERT: Distillation-aware Ultra-low Bit BERT
Wei Zhang, Lu Hou, Yichun Yin +4
cs.CLcs.LGcs.SDarXiv:2009.12812v32020
Neural Predictor for Neural Architecture Search
Wei Wen, Hanxiao Liu, Hai Li +3
cs.LGstat.MLarXiv:1912.00848v12019
Making AI Less "Thirsty": Uncovering and Addressing the Secret Water Footprint of AI Models
Pengfei Li, Jianyi Yang, Mohammad A. Islam +1
cs.LGcs.AIarXiv:2304.03271v52023
ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning
Vamsi Aribandi, Yi Tay, Tal Schuster +11
cs.CLcs.LGarXiv:2111.10952v22021
Learning Optimal Resource Allocations in Wireless Systems
Mark Eisen, Clark Zhang, Luiz F. O. Chamon +2
cs.LGcs.NIstat.MLarXiv:1807.08088v32018
Federated Variance-Reduced Stochastic Gradient Descent with Robustness to Byzantine Attacks
Zhaoxian Wu, Qing Ling, Tianyi Chen +1
cs.LGcs.AIcs.CRarXiv:1912.12716v22019
Pretrained Transformers as Universal Computation Engines
Kevin Lu, Aditya Grover, Pieter Abbeel +1
cs.LGcs.AIarXiv:2103.05247v22021
Motivating the Rules of the Game for Adversarial Example Research
Justin Gilmer, Ryan P. Adams, Ian Goodfellow +2
cs.LGstat.MLarXiv:1807.06732v22018
Learning on Large-scale Text-attributed Graphs via Variational Inference
Jianan Zhao, Meng Qu, Chaozhuo Li +5
cs.LGarXiv:2210.14709v22022
Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow
Xue Bin Peng, Angjoo Kanazawa, Sam Toyer +2
cs.LGstat.MLarXiv:1810.00821v42018
BioSentVec: creating sentence embeddings for biomedical texts
Qingyu Chen, Yifan Peng, Zhiyong Lu
cs.CLcs.AIcs.LGarXiv:1810.09302v62018
Simple data balancing achieves competitive worst-group-accuracy
Badr Youbi Idrissi, Martin Arjovsky, Mohammad Pezeshki +1
cs.LGcs.AIcs.CRarXiv:2110.14503v22021
Stick to What You Know: A Study of Knowledge-Aligned Supervised Fine-Tuning
Arthur Becker, Jakob Kemmler, David Thulke +3
cs.CLcs.AIcs.LGarXiv:2608.30987v12026
OpenFedLLM: Training Large Language Models on Decentralized Private Data via Federated Learning
Rui Ye, Wenhao Wang, Jingyi Chai +6
cs.LGcs.CLcs.DCarXiv:2402.06954v12024
Ranking Distillation: Learning Compact Ranking Models With High Performance for Recommender System
Jiaxi Tang, Ke Wang
cs.LGcs.IRstat.MLarXiv:1809.07428v12018
Conformal Prediction: a Unified Review of Theory and New Challenges
Matteo Fontana, Gianluca Zeni, Simone Vantini
cs.LGecon.EMstat.MEarXiv:2005.07972v22020
A Secure Federated Learning Framework for 5G Networks
Yi Liu, Jialiang Peng, Jiawen Kang +3
cs.CRcs.LGcs.NIarXiv:2005.05752v12020
Tackling the Curse of Dimensionality with Physics-Informed Neural Networks
Zheyuan Hu, Khemraj Shukla, George Em Karniadakis +1
cs.LGcs.AImath.DSarXiv:2307.12306v62023
Support Vector Machines under Adversarial Label Contamination
Huang Xiao, Battista Biggio, Blaine Nelson +3
cs.LGarXiv:2206.00352v12022
Learning to learn with quantum neural networks via classical neural networks
Guillaume Verdon, Michael Broughton, Jarrod R. McClean +5
quant-phcs.LGarXiv:1907.05415v12019
Query-Efficient Imitation Learning for End-to-End Autonomous Driving
Jiakai Zhang, Kyunghyun Cho
cs.LGcs.AIcs.ROarXiv:1605.06450v12016
Defending Against Alignment-Breaking Attacks via Robustly Aligned LLM
Bochuan Cao, Yuanpu Cao, Lu Lin +1
cs.CLcs.AIcs.CRarXiv:2309.14348v32023
Adversarial Feature Selection against Evasion Attacks
Fei Zhang, Patrick P. K. Chan, Battista Biggio +2
cs.LGcs.CRstat.MLarXiv:2005.12154v12020
Summit: Scaling Deep Learning Interpretability by Visualizing Activation and Attribution Summarizations
Fred Hohman, Haekyu Park, Caleb Robinson +1
cs.HCcs.CVcs.LGarXiv:1904.02323v32019
Improvements to deep convolutional neural networks for LVCSR
Tara N. Sainath, Brian Kingsbury, Abdel-rahman Mohamed +6
cs.LGcs.CLcs.NEarXiv:1309.1501v32013
A Visual Question Answering Model to Automate Nondestructive Evaluation Image Analysis
Mehrdad Shafiei Dizaji, Hoda Azari
cs.CVcs.LGarXiv:2608.29408v12026
Learning to Translate in Real-time with Neural Machine Translation
Jiatao Gu, Graham Neubig, Kyunghyun Cho +1
cs.CLcs.LGarXiv:1610.00388v32016
Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models
George Stein, Jesse C. Cresswell, Rasa Hosseinzadeh +7
cs.LGcs.CVstat.MLarXiv:2306.04675v22023
Adversarial examples from computational constraints
Sébastien Bubeck, Eric Price, Ilya Razenshteyn
stat.MLcs.CCcs.LGarXiv:1805.10204v12018
FrameScope: Temporal Data Valuation for Stream Active Learning in Autonomous Vehicle Systems
Yuheng Zhu, Man-Ki Yoon
cs.CVcs.LGarXiv:2608.28672v12026

Machine Learning

ResearchAgent: Iterative Research Idea Generation over Scientific Literature with Large Language Models

FedMix: Approximation of Mixup under Mean Augmented Federated Learning

S3C-LLM: Skill-Code Guided Agentic Language Models for Spectrum-to-Structure Elucidation

Invariant Rationalization

Mixout: Effective Regularization to Finetune Large-scale Pretrained Language Models

Learning to Search Better Than Your Teacher

Wasserstein Weisfeiler-Lehman Graph Kernels

A Poisson-Gaussian Denoising Dataset with Real Fluorescence Microscopy Images

Generalization in Reinforcement Learning by Soft Data Augmentation

SingProbe Technical Report

Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs

E(n) Equivariant Normalizing Flows

Interpretable and Efficient Heterogeneous Graph Convolutional Network

Context Staircase: Signature-Aligned Dynamics of Token Embeddings under Small Initialization

Learning Where Outcomes Change:Credit-Addressable Reasoning for Multimodal Geometry

Synthesis of Compositional Animations from Textual Descriptions

Fully Convolutional Architectures for Multi-Class Segmentation in Chest Radiographs

VIBE: Video Instruction-aligned Background music gEneration

An Empirical Evaluation of Similarity Measures for Time Series Classification

Learning to Pivot with Adversarial Networks

L-Shapley and C-Shapley: Efficient Model Interpretation for Structured Data

How Much Reading Does Reading Comprehension Require? A Critical Investigation of Popular Benchmarks

Towards Deeper Graph Neural Networks with Differentiable Group Normalization

Capsule Network Performance on Complex Data

Spatial Deep Learning for Wireless Scheduling

Cryptocurrency Portfolio Management with Deep Reinforcement Learning

Interpreting and Unifying Graph Neural Networks with An Optimization Framework

On the Necessity of Auditable Algorithmic Definitions for Machine Unlearning

Better Fine-Tuning by Reducing Representational Collapse

Conditioning by adaptive sampling for robust design

TernaryBERT: Distillation-aware Ultra-low Bit BERT

Neural Predictor for Neural Architecture Search

Making AI Less "Thirsty": Uncovering and Addressing the Secret Water Footprint of AI Models

ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning

Learning Optimal Resource Allocations in Wireless Systems

Federated Variance-Reduced Stochastic Gradient Descent with Robustness to Byzantine Attacks

Pretrained Transformers as Universal Computation Engines

Motivating the Rules of the Game for Adversarial Example Research

Learning on Large-scale Text-attributed Graphs via Variational Inference

Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow

BioSentVec: creating sentence embeddings for biomedical texts

Simple data balancing achieves competitive worst-group-accuracy

Stick to What You Know: A Study of Knowledge-Aligned Supervised Fine-Tuning

OpenFedLLM: Training Large Language Models on Decentralized Private Data via Federated Learning

Ranking Distillation: Learning Compact Ranking Models With High Performance for Recommender System

Conformal Prediction: a Unified Review of Theory and New Challenges

A Secure Federated Learning Framework for 5G Networks

Tackling the Curse of Dimensionality with Physics-Informed Neural Networks

Support Vector Machines under Adversarial Label Contamination

Learning to learn with quantum neural networks via classical neural networks

Query-Efficient Imitation Learning for End-to-End Autonomous Driving

Defending Against Alignment-Breaking Attacks via Robustly Aligned LLM

Adversarial Feature Selection against Evasion Attacks

Summit: Scaling Deep Learning Interpretability by Visualizing Activation and Attribution Summarizations

Improvements to deep convolutional neural networks for LVCSR

A Visual Question Answering Model to Automate Nondestructive Evaluation Image Analysis

Learning to Translate in Real-time with Neural Machine Translation

Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models

Adversarial examples from computational constraints

FrameScope: Temporal Data Valuation for Stream Active Learning in Autonomous Vehicle Systems