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.

Search paper metadata (including unsummarized papers)

2,461 to 2,520 of 19,931

TTS-GAN: A Transformer-based Time-Series Generative Adversarial Network
Xiaomin Li, Vangelis Metsis, Huangyingrui Wang +1
cs.LGcs.AIarXiv:2202.02691v22022
Do Reviewers Still Reward Lexical Complexity? A Frozen-Rater Study of Preference Drift in 124K ICLR Reviews
Jiabin Zheng
cs.CLcs.DLcs.LGarXiv:2609.08475v12026
Automatic Grading of Individual Knee Osteoarthritis Features in Plain Radiographs using Deep Convolutional Neural Networks
Aleksei Tiulpin, Simo Saarakkala
eess.IVcs.CVcs.LGarXiv:1907.08020v12019
BRepNet: A topological message passing system for solid models
Joseph G. Lambourne, Karl D. D. Willis, Pradeep Kumar Jayaraman +3
cs.LGcs.CVarXiv:2104.00706v22021
Further Generalizations of the Jaccard Index
Luciano da F. Costa
cs.LGarXiv:2110.09619v32021
GBK-GNN: Gated Bi-Kernel Graph Neural Networks for Modeling Both Homophily and Heterophily
Lun Du, Xiaozhou Shi, Qiang Fu +4
cs.LGarXiv:2110.15777v32021
3D Common Corruptions and Data Augmentation
Oğuzhan Fatih Kar, Teresa Yeo, Andrei Atanov +1
cs.CVcs.LGarXiv:2203.01441v32022
EIA: Environmental Injection Attack on Generalist Web Agents for Privacy Leakage
Zeyi Liao, Lingbo Mo, Chejian Xu +6
cs.CRcs.AIcs.CLarXiv:2409.11295v52024
Diffusion Model is an Effective Planner and Data Synthesizer for Multi-Task Reinforcement Learning
Haoran He, Chenjia Bai, Kang Xu +5
cs.LGcs.AIarXiv:2305.18459v22023
Few-shot Network Anomaly Detection via Cross-network Meta-learning
Kaize Ding, Qinghai Zhou, Hanghang Tong +1
cs.LGarXiv:2102.11165v12021
Self-Stabilization: The Implicit Bias of Gradient Descent at the Edge of Stability
Alex Damian, Eshaan Nichani, Jason D. Lee
cs.LGcs.ITmath.OCarXiv:2209.15594v22022
Change is Hard: A Closer Look at Subpopulation Shift
Yuzhe Yang, Haoran Zhang, Dina Katabi +1
cs.LGcs.AIcs.CVarXiv:2302.12254v32023
Accelerated Coordinate Encoding: Learning to Relocalize in Minutes using RGB and Poses
Eric Brachmann, Tommaso Cavallari, Victor Adrian Prisacariu
cs.CVcs.LGarXiv:2305.14059v12023
Distinguishing performance gains from learning when using generative AI
Lixiang Yan, Samuel Greiff, Jason M. Lodge +1
cs.LGcs.HCarXiv:2605.13731v12026
LongWriter: Unleashing 10,000+ Word Generation from Long Context LLMs
Yushi Bai, Jiajie Zhang, Xin Lv +6
cs.CLcs.LGarXiv:2408.07055v12024
A General Neural Network Potential for Energetic Materials with C, H, N, and O elements
Mingjie Wen, Jiahe Han, Wenjuan Li +3
cond-mat.mtrl-scics.LGarXiv:2503.01932v12025
Does CLIP Benefit Visual Question Answering in the Medical Domain as Much as it Does in the General Domain?
Sedigheh Eslami, Gerard de Melo, Christoph Meinel
cs.CVcs.AIcs.CLarXiv:2112.13906v12021
Eluding Secure Aggregation in Federated Learning via Model Inconsistency
Dario Pasquini, Danilo Francati, Giuseppe Ateniese
cs.LGcs.CRarXiv:2111.07380v52021
Contrastive Learning for Weakly Supervised Phrase Grounding
Tanmay Gupta, Arash Vahdat, Gal Chechik +3
cs.CVcs.CLcs.LGarXiv:2006.09920v32020
Accelerating Deep Learning by Focusing on the Biggest Losers
Angela H. Jiang, Daniel L. -K. Wong, Giulio Zhou +8
cs.LGstat.MLarXiv:1910.00762v12019
POCOVID-Net: Automatic Detection of COVID-19 From a New Lung Ultrasound Imaging Dataset (POCUS)
Jannis Born, Gabriel Brändle, Manuel Cossio +4
eess.IVcs.CVcs.LGarXiv:2004.12084v42020
EDDI: Efficient Dynamic Discovery of High-Value Information with Partial VAE
Chao Ma, Sebastian Tschiatschek, Konstantina Palla +3
cs.LGstat.MLarXiv:1809.11142v42018
Sampling from a log-concave distribution with Projected Langevin Monte Carlo
Sébastien Bubeck, Ronen Eldan, Joseph Lehec
math.PRcs.DScs.LGarXiv:1507.02564v12015
A review of predictive uncertainty estimation with machine learning
Hristos Tyralis, Georgia Papacharalampous
stat.MLcs.LGmath.STarXiv:2209.08307v22022
Chemi-net: a graph convolutional network for accurate drug property prediction
Ke Liu, Xiangyan Sun, Lei Jia +7
cs.LGq-bio.QMarXiv:1803.06236v22018
A Survey of Knowledge Tracing: Models, Variants, and Applications
Shuanghong Shen, Qi Liu, Zhenya Huang +4
cs.CYcs.LGarXiv:2105.15106v42021
ThinkPrior: Zero-Rollout Difficulty Priors for Cold-Start Prompt Selection in RLVR
Tommy Sha, Skylar Zhai, Siqi Zhao
cs.LGcs.AIarXiv:2609.09075v12026
Autonomous discovery of battery electrolytes with robotic experimentation and machine-learning
Adarsh Dave, Jared Mitchell, Kirthevasan Kandasamy +5
physics.app-phcs.LGarXiv:2001.09938v12019
Adversarially Robust Generalization Just Requires More Unlabeled Data
Runtian Zhai, Tianle Cai, Di He +4
cs.LGstat.MLarXiv:1906.00555v22019
Handling missing values in healthcare data: A systematic review of deep learning-based imputation techniques
Mingxuan Liu, Siqi Li, Han Yuan +7
cs.LGarXiv:2210.08258v12022
Visualizing Data using GTSNE
Songting Shi
cs.LGcs.HCmath.OCarXiv:2108.01301v12021
Let It Go or Learn to Self-Correct: Continuous Diffusion for Constrained Discrete Tasks
Mariia Drozdova, Stéphane Liem Nguyen, François Fleuret
cs.LGcs.AIarXiv:2609.09009v12026
Real-World Anomaly Detection by using Digital Twin Systems and Weakly-Supervised Learning
Andrea Castellani, Sebastian Schmitt, Stefano Squartini
cs.LGarXiv:2011.06296v12020
Predicting Students' Performance Using ID3 And C4.5 Classification Algorithms
Kalpesh Adhatrao, Aditya Gaykar, Amiraj Dhawan +2
cs.CYcs.LGarXiv:1310.2071v12013
Transformers as In-Context Samplers: From Closed-Form Diffusion to Estimation-Free Sampling
Arman Adibi, Alireza Jafari, Mohammad Ghavamzadeh +1
cs.LGcs.AIstat.AParXiv:2609.08981v12026
GraphFAS: A Distributed System for Automated Graph Feature Generation and Selection in Industrial Transaction Networks
Yice Luo, Yun Zhu, Xi Chen +7
cs.LGcs.AIcs.DCarXiv:2609.08970v12026
Federated Learning With Quantized Global Model Updates
Mohammad Mohammadi Amiri, Deniz Gunduz, Sanjeev R. Kulkarni +1
cs.ITcs.DCcs.LGarXiv:2006.10672v22020
Graph Machine: Towards Better Pretraining via Edges
Lintai Hou
cs.LGarXiv:2609.02881v12026
Why think step by step? Reasoning emerges from the locality of experience
Ben Prystawski, Michael Y. Li, Noah D. Goodman
cs.AIcs.CLcs.LGarXiv:2304.03843v32023
Multi-document Summarization via Deep Learning Techniques: A Survey
Congbo Ma, Wei Emma Zhang, Mingyu Guo +2
cs.CLcs.LGarXiv:2011.04843v32020
Impossibility Theorems for Feature Attribution
Blair Bilodeau, Natasha Jaques, Pang Wei Koh +1
cs.LGcs.AIarXiv:2212.11870v32022
Fast convolutional neural networks on FPGAs with hls4ml
Thea Aarrestad, Vladimir Loncar, Nicolò Ghielmetti +17
cs.LGcs.CVhep-exarXiv:2101.05108v22021
Detecting weak and strong Islamophobic hate speech on social media
Bertie Vidgen, Taha Yasseri
cs.CLcs.LGstat.MLarXiv:1812.10400v12018
The Unfairness of Popularity Bias in Music Recommendation: A Reproducibility Study
Dominik Kowald, Markus Schedl, Elisabeth Lex
cs.IRcs.LGcs.SIarXiv:1912.04696v22019
Neural Network Approximation: Three Hidden Layers Are Enough
Zuowei Shen, Haizhao Yang, Shijun Zhang
cs.LGcs.NEstat.MLarXiv:2010.14075v42020
Foley Music: Learning to Generate Music from Videos
Chuang Gan, Deng Huang, Peihao Chen +2
cs.CVcs.LGcs.SDarXiv:2007.10984v12020
Physics-constrained Deep Learning of Multi-zone Building Thermal Dynamics
Jan Drgona, Aaron R. Tuor, Vikas Chandan +1
cs.LGcs.NEeess.SYarXiv:2011.05987v12020
On barren plateaus and cost function locality in variational quantum algorithms
Alexey Uvarov, Jacob Biamonte
quant-phcond-mat.dis-nncs.LGarXiv:2011.10530v22020
An Introduction to Neural Data Compression
Yibo Yang, Stephan Mandt, Lucas Theis
cs.LGcs.ITeess.IVarXiv:2202.06533v32022
M$^3$Care: Learning with Missing Modalities in Multimodal Healthcare Data
Chaohe Zhang, Xu Chu, Liantao Ma +4
cs.LGcs.AIarXiv:2210.17292v12022
Earth System World Model for What-If Simulations: A Case Study for Terrestrial Ecosystems
Zhihao Wang, Ruichen Wang, Ruohan Li +6
cs.LGcs.AIarXiv:2609.08855v12026
Sample Efficient Adaptive Text-to-Speech
Yutian Chen, Yannis Assael, Brendan Shillingford +11
cs.LGcs.SDstat.MLarXiv:1809.10460v32018
The Gap Between Model-Based and Model-Free Methods on the Linear Quadratic Regulator: An Asymptotic Viewpoint
Stephen Tu, Benjamin Recht
cs.LGmath.OCstat.MLarXiv:1812.03565v22018
Adaptive Anisotropic Attention for Axis-Structured Signals
Mahir Jain, Parshva Runwal, Aditya Ray Mishra +3
cs.LGcs.AIarXiv:2609.08788v12026
A Bayesian machine scientist to aid in the solution of challenging scientific problems
Roger Guimera, Ignasi Reichardt, Antoni Aguilar-Mogas +4
cs.LGphysics.data-anstat.MLarXiv:2004.12157v12020
Stacked LSTM Based Deep Recurrent Neural Network with Kalman Smoothing for Blood Glucose Prediction
Md Fazle Rabby, Yazhou Tu, Md Imran Hossen +3
cs.LGcs.AIarXiv:2101.06850v12021
Hyperparameter Scaling Laws Across MoE Sparsity
Changxin Tian, Kunlong Chen, Jia Liu +3
cs.LGcs.AIcs.CLarXiv:2609.08690v12026
Deep Graph-Convolutional Image Denoising
Diego Valsesia, Giulia Fracastoro, Enrico Magli
eess.IVcs.CVcs.LGarXiv:1907.08448v12019
Low-rank Kernel Learning for Graph-based Clustering
Zhao Kang, Liangjian Wen, Wenyu Chen +1
cs.LGcs.CVstat.MLarXiv:1903.05962v12019
Clustering with Multi-Layer Graphs: A Spectral Perspective
Xiaowen Dong, Pascal Frossard, Pierre Vandergheynst +1
cs.LGcs.CVcs.SIarXiv:1106.2233v12011

Machine Learning

TTS-GAN: A Transformer-based Time-Series Generative Adversarial Network

Do Reviewers Still Reward Lexical Complexity? A Frozen-Rater Study of Preference Drift in 124K ICLR Reviews

Automatic Grading of Individual Knee Osteoarthritis Features in Plain Radiographs using Deep Convolutional Neural Networks

BRepNet: A topological message passing system for solid models

Further Generalizations of the Jaccard Index

GBK-GNN: Gated Bi-Kernel Graph Neural Networks for Modeling Both Homophily and Heterophily

3D Common Corruptions and Data Augmentation

EIA: Environmental Injection Attack on Generalist Web Agents for Privacy Leakage

Diffusion Model is an Effective Planner and Data Synthesizer for Multi-Task Reinforcement Learning

Few-shot Network Anomaly Detection via Cross-network Meta-learning

Self-Stabilization: The Implicit Bias of Gradient Descent at the Edge of Stability

Change is Hard: A Closer Look at Subpopulation Shift

Accelerated Coordinate Encoding: Learning to Relocalize in Minutes using RGB and Poses

Distinguishing performance gains from learning when using generative AI

LongWriter: Unleashing 10,000+ Word Generation from Long Context LLMs

A General Neural Network Potential for Energetic Materials with C, H, N, and O elements

Does CLIP Benefit Visual Question Answering in the Medical Domain as Much as it Does in the General Domain?

Eluding Secure Aggregation in Federated Learning via Model Inconsistency

Contrastive Learning for Weakly Supervised Phrase Grounding

Accelerating Deep Learning by Focusing on the Biggest Losers

POCOVID-Net: Automatic Detection of COVID-19 From a New Lung Ultrasound Imaging Dataset (POCUS)

EDDI: Efficient Dynamic Discovery of High-Value Information with Partial VAE

Sampling from a log-concave distribution with Projected Langevin Monte Carlo

A review of predictive uncertainty estimation with machine learning

Chemi-net: a graph convolutional network for accurate drug property prediction

A Survey of Knowledge Tracing: Models, Variants, and Applications

ThinkPrior: Zero-Rollout Difficulty Priors for Cold-Start Prompt Selection in RLVR

Autonomous discovery of battery electrolytes with robotic experimentation and machine-learning

Adversarially Robust Generalization Just Requires More Unlabeled Data

Handling missing values in healthcare data: A systematic review of deep learning-based imputation techniques

Visualizing Data using GTSNE

Let It Go or Learn to Self-Correct: Continuous Diffusion for Constrained Discrete Tasks

Real-World Anomaly Detection by using Digital Twin Systems and Weakly-Supervised Learning

Predicting Students' Performance Using ID3 And C4.5 Classification Algorithms

Transformers as In-Context Samplers: From Closed-Form Diffusion to Estimation-Free Sampling

GraphFAS: A Distributed System for Automated Graph Feature Generation and Selection in Industrial Transaction Networks

Federated Learning With Quantized Global Model Updates

Graph Machine: Towards Better Pretraining via Edges

Why think step by step? Reasoning emerges from the locality of experience

Multi-document Summarization via Deep Learning Techniques: A Survey

Impossibility Theorems for Feature Attribution

Fast convolutional neural networks on FPGAs with hls4ml

Detecting weak and strong Islamophobic hate speech on social media

The Unfairness of Popularity Bias in Music Recommendation: A Reproducibility Study

Neural Network Approximation: Three Hidden Layers Are Enough

Foley Music: Learning to Generate Music from Videos

Physics-constrained Deep Learning of Multi-zone Building Thermal Dynamics

On barren plateaus and cost function locality in variational quantum algorithms

An Introduction to Neural Data Compression

M$^3$Care: Learning with Missing Modalities in Multimodal Healthcare Data

Earth System World Model for What-If Simulations: A Case Study for Terrestrial Ecosystems

Sample Efficient Adaptive Text-to-Speech

The Gap Between Model-Based and Model-Free Methods on the Linear Quadratic Regulator: An Asymptotic Viewpoint

Adaptive Anisotropic Attention for Axis-Structured Signals

A Bayesian machine scientist to aid in the solution of challenging scientific problems

Stacked LSTM Based Deep Recurrent Neural Network with Kalman Smoothing for Blood Glucose Prediction

Hyperparameter Scaling Laws Across MoE Sparsity

Deep Graph-Convolutional Image Denoising

Low-rank Kernel Learning for Graph-based Clustering

Clustering with Multi-Layer Graphs: A Spectral Perspective