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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31,561 to 31,620 of 32,728
Augmenting Genetic Algorithms with Deep Neural Networks for Exploring the Chemical Space
AkshatKumar Nigam, Pascal Friederich, Mario Krenn +1
cs.NEcs.LGphysics.chem-pharXiv:1909.11655v42019Can 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:1909.01940v22019Large Language Models for Forecasting and Anomaly Detection: A Systematic Literature Review
Jing Su, Chufeng Jiang, Xin Jin +7
cs.LGcs.AIarXiv:2402.10350v12024On the generalization of GAN image forensics
Xinsheng Xuan, Bo Peng, Wei Wang +1
cs.CVcs.LGstat.MLarXiv:1902.11153v22019Intelligent O-RAN for Beyond 5G and 6G Wireless Networks
Solmaz Niknam, Abhishek Roy, Harpreet S. Dhillon +5
eess.SPcs.LGarXiv:2005.08374v12020A Learned Representation for Scalable Vector Graphics
Raphael Gontijo Lopes, David Ha, Douglas Eck +1
cs.CVcs.LGstat.MLarXiv:1904.02632v12019Mellotron: Multispeaker expressive voice synthesis by conditioning on rhythm, pitch and global style tokens
Rafael Valle, Jason Li, Ryan Prenger +1
cs.SDcs.LGeess.ASarXiv:1910.11997v12019Hyperspherical Prototype Networks
Pascal Mettes, Elise van der Pol, Cees G. M. Snoek
cs.LGstat.MLarXiv:1901.10514v32019Machine learning of hierarchical clustering to segment 2D and 3D images
Juan Nunez-Iglesias, Ryan Kennedy, Toufiq Parag +2
cs.CVcs.LGarXiv:1303.6163v32013Toxicity Prediction using Deep Learning
Thomas Unterthiner, Andreas Mayr, Günter Klambauer +1
stat.MLcs.LGcs.NEarXiv:1503.01445v12015RL-RRT: Kinodynamic Motion Planning via Learning Reachability Estimators from RL Policies
Hao-Tien Lewis Chiang, Jasmine Hsu, Marek Fiser +2
cs.ROcs.AIcs.LGarXiv:1907.04799v22019Protein sequence design with deep generative models
Zachary Wu, Kadina E. Johnston, Frances H. Arnold +1
q-bio.QMcs.LGq-bio.BMarXiv:2104.04457v12021Machine Learning (ML)-Centric Resource Management in Cloud Computing: A Review and Future Directions
Tahseen Khan, Wenhong Tian, Rajkumar Buyya
cs.DCcs.LGarXiv:2105.05079v12021Classification of Urban Morphology with Deep Learning: Application on Urban Vitality
Wangyang Chen, Abraham Noah Wu, Filip Biljecki
cs.CVcs.CYcs.LGarXiv:2105.09908v32021The Privacy Onion Effect: Memorization is Relative
Nicholas Carlini, Matthew Jagielski, Chiyuan Zhang +3
cs.LGcs.CRarXiv:2206.10469v22022BlenderProc
Maximilian Denninger, Martin Sundermeyer, Dominik Winkelbauer +5
cs.CVcs.GRcs.LGarXiv:1911.01911v12019Weakly-supervised Discovery of Visual Pattern Configurations
Hyun Oh Song, Yong Jae Lee, Stefanie Jegelka +1
cs.CVcs.LGarXiv:1406.6507v12014Opportunities of Federated Learning in Connected, Cooperative and Automated Industrial Systems
Stefano Savazzi, Monica Nicoli, Mehdi Bennis +2
cs.LGcs.DCarXiv:2101.03367v22021AttentionNet: Aggregating Weak Directions for Accurate Object Detection
Donggeun Yoo, Sunggyun Park, Joon-Young Lee +2
cs.CVcs.LGarXiv:1506.07704v22015ManipulaTHOR: A Framework for Visual Object Manipulation
Kiana Ehsani, Winson Han, Alvaro Herrasti +5
cs.CVcs.AIcs.LGarXiv:2104.11213v12021Evaluating Adversarial Evasion Attacks in the Context of Wireless Communications
Bryse Flowers, R. Michael Buehrer, William C. Headley
eess.SPcs.LGstat.MLarXiv:1903.01563v12019RawNet: 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:1904.08104v22019Beliefs and Behavior in Language Models
Alex Smolin, Bryan Wilder
cs.AIcs.LGarXiv:2609.07943v12026Norms at a Price: Why RL-Based Alignment Can Promise Conditional Compliance at Best
Kevin Baum, Rūta Binkytė, Felix Jahn
cs.AIcs.CYcs.LGarXiv:2609.07627v12026Human Activity Recognition using Recurrent Neural Networks
Deepika Singh, Erinc Merdivan, Ismini Psychoula +4
cs.NEcs.LGstat.MLarXiv:1804.07144v12018BppAttack: 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:2205.13383v12022Disrupting Deepfakes: Adversarial Attacks Against Conditional Image Translation Networks and Facial Manipulation Systems
Nataniel Ruiz, Sarah Adel Bargal, Stan Sclaroff
cs.CVcs.CRcs.CYarXiv:2003.01279v32020ORLM: A Customizable Framework in Training Large Models for Automated Optimization Modeling
Chenyu Huang, Zhengyang Tang, Shixi Hu +5
cs.CLcs.AIcs.CEarXiv:2405.17743v52024A Multi-task Learning Model for Chinese-oriented Aspect Polarity Classification and Aspect Term Extraction
Heng Yang, Biqing Zeng, JianHao Yang +2
cs.CLcs.LGarXiv:1912.07976v32019Satellite Image Classification with Deep Learning
Mark Pritt, Gary Chern
cs.CVcs.LGarXiv:2010.06497v12020RAFM-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:2609.07409v12026Implicit Regularization in Deep Learning
Behnam Neyshabur
cs.LGarXiv:1709.01953v22017Learning Transferable Adversarial Examples via Ghost Networks
Yingwei Li, Song Bai, Yuyin Zhou +3
cs.CVcs.LGarXiv:1812.03413v32018Ranking via Sinkhorn Propagation
Ryan Prescott Adams, Richard S. Zemel
stat.MLcs.IRcs.LGarXiv:1106.1925v22011Vidu: a Highly Consistent, Dynamic and Skilled Text-to-Video Generator with Diffusion Models
Fan Bao, Chendong Xiang, Gang Yue +7
cs.CVcs.LGarXiv:2405.04233v12024Benchmarking Storage Systems for Machine Learning Workloads Using NIO Bench
Jonathan W. Morris, Ionut Mistreanu, Connor Louie
cs.PFcs.DCcs.LGarXiv:2609.05418v12026Active Federated Learning
Jack Goetz, Kshitiz Malik, Duc Bui +3
cs.LGstat.MLarXiv:1909.12641v12019Formation of structural attractors in neuromorphic systems
Yurii Parzhyn, Alexander Schwarzmann, Mykyta Lapin +1
cs.AIcs.LGcs.NEarXiv:2609.06826v12026TextConvoNet:A Convolutional Neural Network based Architecture for Text Classification
Sanskar Soni, Satyendra Singh Chouhan, Santosh Singh Rathore
cs.CLcs.AIcs.LGarXiv:2203.05173v12022Generalizing HVAC Control With Domain Randomized Reinforcement Learning
Pablo Boitel, Kun Zhang
cs.LGarXiv:2609.05822v12026Novel hybrid protein scaffold gap filling using weighted machine learning ensemble, beam search, and mass-constrained reranking
Tahmid Enam Shrestha, Md. Manzurul Hasan, Md. Rafiqul Islam
q-bio.BMcs.LGarXiv:2609.05436v12026DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System
Zhi-Hong Deng, Ling Huang, Chang-Dong Wang +2
cs.LGcs.IRstat.MLarXiv:1901.04704v12019ZetaDial: dialing net charge of protein binders at inference time for therapeutic developability
Mohammed Sameer Syed, Tamara Dinneen
q-bio.BMcs.LGarXiv:2609.05451v12026SoundStorm: Efficient Parallel Audio Generation
Zalán Borsos, Matt Sharifi, Damien Vincent +3
cs.SDcs.LGeess.ASarXiv:2305.09636v12023Dialog State Tracking: A Neural Reading Comprehension Approach
Shuyang Gao, Abhishek Sethi, Sanchit Agarwal +2
cs.CLcs.LGarXiv:1908.01946v32019Fruit Ripeness Classification: a Survey
Matteo Rizzo, Matteo Marcuzzo, Alessandro Zangari +2
cs.CVcs.LGarXiv:2212.14441v32022meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting
Xu Sun, Xuancheng Ren, Shuming Ma +1
cs.LGcs.AIcs.CLarXiv:1706.06197v52017Sales Demand Forecast in E-commerce using a Long Short-Term Memory Neural Network Methodology
Kasun Bandara, Peibei Shi, Christoph Bergmeir +3
cs.LGstat.MLarXiv:1901.04028v22019On Robustness of Neural Ordinary Differential Equations
Hanshu Yan, Jiawei Du, Vincent Y. F. Tan +1
cs.LGstat.MLarXiv:1910.05513v42019ARC-Bench: Closed-Loop Replanning Masks Broken Action Ranking in Frozen JEPA World Models
Zhengshu Zhang, Zhiyuan Li
cs.AIcs.LGcs.ROarXiv:2609.05461v12026A survey on intrinsic motivation in reinforcement learning
Arthur Aubret, Laetitia Matignon, Salima Hassas
cs.LGcs.AIarXiv:1908.06976v22019Teach Me to Explain: A Review of Datasets for Explainable Natural Language Processing
Sarah Wiegreffe, Ana Marasović
cs.CLcs.AIcs.LGarXiv:2102.12060v42021Twin Contrastive Learning for Online Clustering
Yunfan Li, Mouxing Yang, Dezhong Peng +3
cs.LGarXiv:2210.11680v12022Sequential Beats Joint: On the Interplay between On-Policy Distillation and RLVR
Boyan Li, Bingsen Chen, Chenghao Yang +3
cs.CLcs.AIcs.LGarXiv:2609.04108v22026A Low-Cost, Open Platform for End-to-End Autonomous Driving on a Miniature Ackermann Vehicle
Gustavo Claudio Karl Couto, Eric Aislan Antonelo, Gabriel George Zipperer
cs.LGcs.AIcs.ROarXiv:2609.04147v12026Influence of Extruded Filament Shape on Buildability in 3D Concrete Printing: A Geometry-Informed Deep Learning-FEM Approach
Giacomo Rizzieri, Saif-Ur-Rehman, Jörg F. Unger +1
cs.CEcs.AIcs.LGarXiv:2609.04028v12026KoDF: A Large-scale Korean DeepFake Detection Dataset
Patrick Kwon, Jaeseong You, Gyuhyeon Nam +2
cs.CVcs.LGarXiv:2103.10094v22021Manifold Embedded Knowledge Transfer for Brain-Computer Interfaces
Wen Zhang, Dongrui Wu
cs.HCcs.LGarXiv:1910.05878v22019Continuously Differentiable Exponential Linear Units
Jonathan T. Barron
cs.LGarXiv:1704.07483v12017RARF: Region-Aware Rectified Flows for 3D Brain MRI Inpainting
Tomas Guija-Valiente, Blanca Rodriguez-Gonzalez, Norberto Malpica +1
cs.CVcs.AIcs.LGarXiv:2609.03956v12026