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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31,261 to 31,320 of 32,456

Evaluation of Contextual Understanding in Large Language Models
Subavarshana Arumugam, Mamta Nallaretnam, Kithuni Wickramasinghe +4
cs.CLcs.LGarXiv:2609.09004v12026
Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise
Pengfei Chen, Junjie Ye, Guangyong Chen +2
cs.LGarXiv:2012.05458v12020
Large-Scale Differentially Private BERT
Rohan Anil, Badih Ghazi, Vineet Gupta +2
cs.LGcs.CLcs.CRarXiv:2108.01624v12021
TTS-GAN: A Transformer-based Time-Series Generative Adversarial Network
Xiaomin Li, Vangelis Metsis, Huangyingrui Wang +1
cs.LGcs.AIarXiv:2202.02691v22022
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
Further Generalizations of the Jaccard Index
Luciano da F. Costa
cs.LGarXiv:2110.09619v32021
3D Common Corruptions and Data Augmentation
Oğuzhan Fatih Kar, Teresa Yeo, Andrei Atanov +1
cs.CVcs.LGarXiv:2203.01441v32022
Distinguishing performance gains from learning when using generative AI
Lixiang Yan, Samuel Greiff, Jason M. Lodge +1
cs.LGcs.HCarXiv:2605.13731v12026
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
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
The Unfairness of Popularity Bias in Music Recommendation: A Reproducibility Study
Dominik Kowald, Markus Schedl, Elisabeth Lex
cs.IRcs.LGcs.SIarXiv:1912.04696v22019
Foley Music: Learning to Generate Music from Videos
Chuang Gan, Deng Huang, Peihao Chen +2
cs.CVcs.LGcs.SDarXiv:2007.10984v12020
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
LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks
Adam Goodge, Bryan Hooi, See Kiong Ng +1
cs.LGcs.AIarXiv:2112.05355v12021
Spatially-Adaptive Image Restoration using Distortion-Guided Networks
Kuldeep Purohit, Maitreya Suin, A. N. Rajagopalan +1
cs.CVcs.LGarXiv:2108.08617v12021
Suan: Rectifying Direct Preference Safety Alignment in Large Language Models
Oleksandr Cherednichenko, Roman Klypa
cs.LGcs.AIarXiv:2609.08634v12026
SpecAugment on Large Scale Datasets
Daniel S. Park, Yu Zhang, Chung-Cheng Chiu +5
eess.AScs.CLcs.LGarXiv:1912.05533v12019
Two-stage framework for optic disc localization and glaucoma classification in retinal fundus images using deep learning
Muhammad Naseer Bajwa, Muhammad Imran Malik, Shoaib Ahmed Siddiqui +4
cs.CVcs.LGeess.IVarXiv:2005.14284v12020
Interpretable Deep Learning for Automatic Diagnosis of 12-lead Electrocardiogram
Dongdong Zhang, Xiaohui Yuan, Ping Zhang
cs.LGeess.SParXiv:2010.10328v12020
Distributed Hierarchical GPU Parameter Server for Massive Scale Deep Learning Ads Systems
Weijie Zhao, Deping Xie, Ronglai Jia +4
cs.DCcs.LGstat.MLarXiv:2003.05622v12020
Leveraging Cardiac Imaging to Improve ECG-Based Detection of Chagas Disease in Resource-Constrained Settings
Laura Alvarez-Florez, Daniel Uyterlinde, Samuel Ruipérez-Campillo +3
cs.LGcs.AIeess.IVarXiv:2609.08582v12026
A Measurement Study of LLM Inference Trade-offs Across Edge Continuum Hardware
Maysam Khatib, Moysis Symeonides, Demetris Trihinas +2
cs.DCcs.AIcs.LGarXiv:2609.08307v12026
Tarsier: Recipes for Training and Evaluating Large Video Description Models
Jiawei Wang, Liping Yuan, Yuchen Zhang +1
cs.CVcs.LGarXiv:2407.00634v22024
Transformer-based World Models Are Happy With 100k Interactions
Jan Robine, Marc Höftmann, Tobias Uelwer +1
cs.LGcs.AIstat.MLarXiv:2303.07109v12023
One-Pass Incomplete Multi-view Clustering
Menglei Hu, Songcan Chen
cs.LGstat.MLarXiv:1903.00637v12019
Hardware Trojan Threats to Multi-Chiplet Photonic Neural Network Accelerators
Sudeep Pasricha
cs.ARcs.AIcs.LGarXiv:2609.06796v12026
Augmenting Genetic Algorithms with Deep Neural Networks for Exploring the Chemical Space
AkshatKumar Nigam, Pascal Friederich, Mario Krenn +1
cs.NEcs.LGphysics.chem-pharXiv:1909.11655v42019
Can we trust deep learning models diagnosis? The impact of domain shift in chest radiograph classification
Eduardo H. P. Pooch, Pedro L. Ballester, Rodrigo C. Barros
eess.IVcs.AIcs.CVarXiv:1909.01940v22019
Large Language Models for Forecasting and Anomaly Detection: A Systematic Literature Review
Jing Su, Chufeng Jiang, Xin Jin +7
cs.LGcs.AIarXiv:2402.10350v12024
On the generalization of GAN image forensics
Xinsheng Xuan, Bo Peng, Wei Wang +1
cs.CVcs.LGstat.MLarXiv:1902.11153v22019
Intelligent O-RAN for Beyond 5G and 6G Wireless Networks
Solmaz Niknam, Abhishek Roy, Harpreet S. Dhillon +5
eess.SPcs.LGarXiv:2005.08374v12020
A Learned Representation for Scalable Vector Graphics
Raphael Gontijo Lopes, David Ha, Douglas Eck +1
cs.CVcs.LGstat.MLarXiv:1904.02632v12019
Mellotron: Multispeaker expressive voice synthesis by conditioning on rhythm, pitch and global style tokens
Rafael Valle, Jason Li, Ryan Prenger +1
cs.SDcs.LGeess.ASarXiv:1910.11997v12019
Hyperspherical Prototype Networks
Pascal Mettes, Elise van der Pol, Cees G. M. Snoek
cs.LGstat.MLarXiv:1901.10514v32019
Machine learning of hierarchical clustering to segment 2D and 3D images
Juan Nunez-Iglesias, Ryan Kennedy, Toufiq Parag +2
cs.CVcs.LGarXiv:1303.6163v32013
Toxicity Prediction using Deep Learning
Thomas Unterthiner, Andreas Mayr, Günter Klambauer +1
stat.MLcs.LGcs.NEarXiv:1503.01445v12015
RL-RRT: Kinodynamic Motion Planning via Learning Reachability Estimators from RL Policies
Hao-Tien Lewis Chiang, Jasmine Hsu, Marek Fiser +2
cs.ROcs.AIcs.LGarXiv:1907.04799v22019
Protein sequence design with deep generative models
Zachary Wu, Kadina E. Johnston, Frances H. Arnold +1
q-bio.QMcs.LGq-bio.BMarXiv:2104.04457v12021
Machine Learning (ML)-Centric Resource Management in Cloud Computing: A Review and Future Directions
Tahseen Khan, Wenhong Tian, Rajkumar Buyya
cs.DCcs.LGarXiv:2105.05079v12021
Classification of Urban Morphology with Deep Learning: Application on Urban Vitality
Wangyang Chen, Abraham Noah Wu, Filip Biljecki
cs.CVcs.CYcs.LGarXiv:2105.09908v32021
The Privacy Onion Effect: Memorization is Relative
Nicholas Carlini, Matthew Jagielski, Chiyuan Zhang +3
cs.LGcs.CRarXiv:2206.10469v22022
BlenderProc
Maximilian Denninger, Martin Sundermeyer, Dominik Winkelbauer +5
cs.CVcs.GRcs.LGarXiv:1911.01911v12019
Weakly-supervised Discovery of Visual Pattern Configurations
Hyun Oh Song, Yong Jae Lee, Stefanie Jegelka +1
cs.CVcs.LGarXiv:1406.6507v12014
Opportunities of Federated Learning in Connected, Cooperative and Automated Industrial Systems
Stefano Savazzi, Monica Nicoli, Mehdi Bennis +2
cs.LGcs.DCarXiv:2101.03367v22021
AttentionNet: Aggregating Weak Directions for Accurate Object Detection
Donggeun Yoo, Sunggyun Park, Joon-Young Lee +2
cs.CVcs.LGarXiv:1506.07704v22015
ManipulaTHOR: A Framework for Visual Object Manipulation
Kiana Ehsani, Winson Han, Alvaro Herrasti +5
cs.CVcs.AIcs.LGarXiv:2104.11213v12021
Evaluating Adversarial Evasion Attacks in the Context of Wireless Communications
Bryse Flowers, R. Michael Buehrer, William C. Headley
eess.SPcs.LGstat.MLarXiv:1903.01563v12019
RawNet: Advanced end-to-end deep neural network using raw waveforms for text-independent speaker verification
Jee-weon Jung, Hee-Soo Heo, Ju-ho Kim +2
eess.AScs.LGcs.SDarXiv:1904.08104v22019
Beliefs and Behavior in Language Models
Alex Smolin, Bryan Wilder
cs.AIcs.LGarXiv:2609.07943v12026
Norms at a Price: Why RL-Based Alignment Can Promise Conditional Compliance at Best
Kevin Baum, Rūta Binkytė, Felix Jahn
cs.AIcs.CYcs.LGarXiv:2609.07627v12026
Human Activity Recognition using Recurrent Neural Networks
Deepika Singh, Erinc Merdivan, Ismini Psychoula +4
cs.NEcs.LGstat.MLarXiv:1804.07144v12018
BppAttack: Stealthy and Efficient Trojan Attacks against Deep Neural Networks via Image Quantization and Contrastive Adversarial Learning
Zhenting Wang, Juan Zhai, Shiqing Ma
cs.CVcs.CRcs.LGarXiv:2205.13383v12022
Disrupting Deepfakes: Adversarial Attacks Against Conditional Image Translation Networks and Facial Manipulation Systems
Nataniel Ruiz, Sarah Adel Bargal, Stan Sclaroff
cs.CVcs.CRcs.CYarXiv:2003.01279v32020
ORLM: A Customizable Framework in Training Large Models for Automated Optimization Modeling
Chenyu Huang, Zhengyang Tang, Shixi Hu +5
cs.CLcs.AIcs.CEarXiv:2405.17743v52024
A Multi-task Learning Model for Chinese-oriented Aspect Polarity Classification and Aspect Term Extraction
Heng Yang, Biqing Zeng, JianHao Yang +2
cs.CLcs.LGarXiv:1912.07976v32019
Satellite Image Classification with Deep Learning
Mark Pritt, Gary Chern
cs.CVcs.LGarXiv:2010.06497v12020
RAFM-SER++: A Lightweight Multimodal Emotion Recognition Framework for Real-Time Behavioral Monitoring in Surveillance Systems
Ngo Truong Dinh, Tung-Lam Bui, Chi-Trung Duong +3
cs.AIcs.LGcs.MMarXiv:2609.07409v12026
Implicit Regularization in Deep Learning
Behnam Neyshabur
cs.LGarXiv:1709.01953v22017
Learning Transferable Adversarial Examples via Ghost Networks
Yingwei Li, Song Bai, Yuyin Zhou +3
cs.CVcs.LGarXiv:1812.03413v32018
Ranking via Sinkhorn Propagation
Ryan Prescott Adams, Richard S. Zemel
stat.MLcs.IRcs.LGarXiv:1106.1925v22011

Machine Learning

Evaluation of Contextual Understanding in Large Language Models

Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise

Large-Scale Differentially Private BERT

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

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

Further Generalizations of the Jaccard Index

3D Common Corruptions and Data Augmentation

Distinguishing performance gains from learning when using generative AI

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

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

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

Foley Music: Learning to Generate Music from Videos

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

LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks

Spatially-Adaptive Image Restoration using Distortion-Guided Networks

Suan: Rectifying Direct Preference Safety Alignment in Large Language Models

SpecAugment on Large Scale Datasets

Two-stage framework for optic disc localization and glaucoma classification in retinal fundus images using deep learning

Interpretable Deep Learning for Automatic Diagnosis of 12-lead Electrocardiogram

Distributed Hierarchical GPU Parameter Server for Massive Scale Deep Learning Ads Systems

Leveraging Cardiac Imaging to Improve ECG-Based Detection of Chagas Disease in Resource-Constrained Settings

A Measurement Study of LLM Inference Trade-offs Across Edge Continuum Hardware

Tarsier: Recipes for Training and Evaluating Large Video Description Models

Transformer-based World Models Are Happy With 100k Interactions

One-Pass Incomplete Multi-view Clustering

Hardware Trojan Threats to Multi-Chiplet Photonic Neural Network Accelerators

Augmenting Genetic Algorithms with Deep Neural Networks for Exploring the Chemical Space

Can we trust deep learning models diagnosis? The impact of domain shift in chest radiograph classification

Large Language Models for Forecasting and Anomaly Detection: A Systematic Literature Review

On the generalization of GAN image forensics

Intelligent O-RAN for Beyond 5G and 6G Wireless Networks

A Learned Representation for Scalable Vector Graphics

Mellotron: Multispeaker expressive voice synthesis by conditioning on rhythm, pitch and global style tokens

Hyperspherical Prototype Networks

Machine learning of hierarchical clustering to segment 2D and 3D images

Toxicity Prediction using Deep Learning

RL-RRT: Kinodynamic Motion Planning via Learning Reachability Estimators from RL Policies

Protein sequence design with deep generative models

Machine Learning (ML)-Centric Resource Management in Cloud Computing: A Review and Future Directions

Classification of Urban Morphology with Deep Learning: Application on Urban Vitality

The Privacy Onion Effect: Memorization is Relative

BlenderProc

Weakly-supervised Discovery of Visual Pattern Configurations

Opportunities of Federated Learning in Connected, Cooperative and Automated Industrial Systems

AttentionNet: Aggregating Weak Directions for Accurate Object Detection

ManipulaTHOR: A Framework for Visual Object Manipulation

Evaluating Adversarial Evasion Attacks in the Context of Wireless Communications

RawNet: Advanced end-to-end deep neural network using raw waveforms for text-independent speaker verification

Beliefs and Behavior in Language Models

Norms at a Price: Why RL-Based Alignment Can Promise Conditional Compliance at Best

Human Activity Recognition using Recurrent Neural Networks

BppAttack: Stealthy and Efficient Trojan Attacks against Deep Neural Networks via Image Quantization and Contrastive Adversarial Learning

Disrupting Deepfakes: Adversarial Attacks Against Conditional Image Translation Networks and Facial Manipulation Systems

ORLM: A Customizable Framework in Training Large Models for Automated Optimization Modeling

A Multi-task Learning Model for Chinese-oriented Aspect Polarity Classification and Aspect Term Extraction

Satellite Image Classification with Deep Learning

RAFM-SER++: A Lightweight Multimodal Emotion Recognition Framework for Real-Time Behavioral Monitoring in Surveillance Systems

Implicit Regularization in Deep Learning

Learning Transferable Adversarial Examples via Ghost Networks

Ranking via Sinkhorn Propagation