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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31,861 to 31,920 of 32,987
DeepCF: 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:2609.03956v12026DecAF: Joint Decoding of Answers and Logical Forms for Question Answering over Knowledge Bases
Donghan Yu, Sheng Zhang, Patrick Ng +7
cs.CLcs.AIcs.LGarXiv:2210.00063v22022Broadcasted Residual Learning for Efficient Keyword Spotting
Byeonggeun Kim, Simyung Chang, Jinkyu Lee +1
cs.SDcs.LGeess.ASarXiv:2106.04140v42021Causal-learn: Causal Discovery in Python
Yujia Zheng, Biwei Huang, Wei Chen +6
cs.LGstat.MEstat.MLarXiv:2307.16405v12023Toward Physically Grounded JEPA World Models for Goal-Conditioned Robotic Planning
Muyuan Liu, Yue Huang, Zheng Liang +1
cs.ROcs.AIcs.LGarXiv:2609.03565v12026Tree species mapping in Denmark: A comparison of spectral-temporal features with geospatial foundation model embeddings
Alkiviadis Koukos, Spyros Kondylatos, Thomas Nord-Larsen +3
cs.CVcs.AIcs.LGarXiv:2609.03480v22026AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations from Self-Trained Negative Adversaries
Qianjiang Hu, Xiao Wang, Wei Hu +1
cs.LGcs.AIcs.CVarXiv:2011.08435v52020Fashion-Gen: The Generative Fashion Dataset and Challenge
Negar Rostamzadeh, Seyedarian Hosseini, Thomas Boquet +4
stat.MLcs.LGarXiv:1806.08317v22018Music Generation by Deep Learning - Challenges and Directions
Jean-Pierre Briot, François Pachet
cs.SDcs.LGeess.ASarXiv:1712.04371v22017Android in the Zoo: Chain-of-Action-Thought for GUI Agents
Jiwen Zhang, Jihao Wu, Yihua Teng +5
cs.CLcs.CVcs.HCarXiv:2403.02713v22024Privacy Failure in Split-LLM Training, The Returned Gradient Nullifies the Decoys
Georgios Politis, Evangelos Pappas
cs.CRcs.DCcs.LGarXiv:2609.04382v12026A Comprehensive Survey of Hallucination in Large Language, Image, Video and Audio Foundation Models
Pranab Sahoo, Prabhash Meharia, Akash Ghosh +3
cs.LGcs.AIcs.CLarXiv:2405.09589v42024Artificial Intelligence for Drug Discovery: Are We There Yet?
Catrin Hasselgren, Tudor I. Oprea
cs.AIcs.LGq-bio.QMarXiv:2307.06521v12023Semantic Bayesian World Models
Tommaso Soru
cs.AIcs.DBcs.LGarXiv:2609.03834v12026Quantum State Tomography with Conditional Generative Adversarial Networks
Shahnawaz Ahmed, Carlos Sánchez Muñoz, Franco Nori +1
quant-phcs.LGarXiv:2008.03240v22020Very Deep Self-Attention Networks for End-to-End Speech Recognition
Ngoc-Quan Pham, Thai-Son Nguyen, Jan Niehues +3
cs.CLcs.LGcs.SDarXiv:1904.13377v22019Stress Detection Using Wearable Physiological and Sociometric Sensors
Oscar Martinez Mozos, Virginia Sandulescu, Sally Andrews +4
cs.LGeess.SParXiv:2604.12746v12026Retrieval Augmented Generation or Long-Context LLMs? A Comprehensive Study and Hybrid Approach
Zhuowan Li, Cheng Li, Mingyang Zhang +2
cs.CLcs.AIcs.LGarXiv:2407.16833v22024How to avoid machine learning pitfalls: a guide for academic researchers
Michael A. Lones
cs.LGarXiv:2108.02497v52021Hidden Fluid Mechanics: A Navier-Stokes Informed Deep Learning Framework for Assimilating Flow Visualization Data
Maziar Raissi, Alireza Yazdani, George Em Karniadakis
cs.CEcs.LGphysics.flu-dynarXiv:1808.04327v12018ABAW: Valence-Arousal Estimation, Expression Recognition, Action Unit Detection & Emotional Reaction Intensity Estimation Challenges
Dimitrios Kollias, Panagiotis Tzirakis, Alice Baird +2
cs.CVcs.LGarXiv:2303.01498v32023MobileViTv3: Mobile-Friendly Vision Transformer with Simple and Effective Fusion of Local, Global and Input Features
Shakti N. Wadekar, Abhishek Chaurasia
cs.CVcs.AIcs.LGarXiv:2209.15159v22022On Attention Models for Human Activity Recognition
Vishvak S Murahari, Thomas Ploetz
cs.CVcs.AIcs.LGarXiv:1805.07648v12018Attention Enriched Deep Learning Model for Breast Tumor Segmentation in Ultrasound Images
Aleksandar Vakanski, Min Xian, Phoebe Freer
eess.IVcs.LGstat.MLarXiv:1910.08978v22019Language Models Are An Effective Patient Representation Learning Technique For Electronic Health Record Data
Ethan Steinberg, Ken Jung, Jason A. Fries +3
cs.CLcs.LGstat.MLarXiv:2001.05295v22020sense2vec - A Fast and Accurate Method for Word Sense Disambiguation In Neural Word Embeddings
Andrew Trask, Phil Michalak, John Liu
cs.CLcs.LGarXiv:1511.06388v12015MLPACK: A Scalable C++ Machine Learning Library
Ryan R. Curtin, James R. Cline, N. P. Slagle +4
cs.MScs.CVcs.LGarXiv:1210.6293v12012Membership Inference Attacks by Exploiting Loss Trajectory
Yiyong Liu, Zhengyu Zhao, Michael Backes +1
cs.CRcs.LGarXiv:2208.14933v12022An Architecture Combining Convolutional Neural Network (CNN) and Support Vector Machine (SVM) for Image Classification
Abien Fred Agarap
cs.CVcs.LGcs.NEarXiv:1712.03541v22017Audio Spectrogram Representations for Processing with Convolutional Neural Networks
L. Wyse
cs.SDcs.LGcs.MMarXiv:1706.09559v12017High Accuracy Android Malware Detection Using Ensemble Learning
Suleiman Y. Yerima, Sakir Sezer, Igor Muttik
cs.CRcs.LGarXiv:1608.00835v12016Detecting and interpreting myocardial infarction using fully convolutional neural networks
Nils Strodthoff, Claas Strodthoff
cs.CYcs.LGstat.MLarXiv:1806.07385v22018Few-Shot Learning with Localization in Realistic Settings
Davis Wertheimer, Bharath Hariharan
cs.CVcs.AIcs.LGarXiv:1904.08502v22019From Brute Force to Semantic Insight: Performance-Guided Data Transformation Design with LLMs
Usha Shrestha, Dmitry Ignatov, Radu Timofte
cs.CVcs.LGarXiv:2601.03808v22026Evaluating explainable artificial intelligence methods for multi-label deep learning classification tasks in remote sensing
Ioannis Kakogeorgiou, Konstantinos Karantzalos
cs.LGcs.CVarXiv:2104.01375v22021Deep learning for temporal data representation in electronic health records: A systematic review of challenges and methodologies
Feng Xie, Han Yuan, Yilin Ning +5
cs.LGarXiv:2107.09951v12021Pneumonia Detection on chest X-ray images Using Ensemble of Deep Convolutional Neural Networks
Alhassan Mabrouk, Rebeca P. Díaz Redondo, Abdelghani Dahou +2
eess.IVcs.CVcs.LGarXiv:2312.07965v12023Same Request, Different Answer: Quantization Amplifies Cache-Induced Divergence in LLM Serving
Aditi Patodiya
cs.SEcs.DCcs.LGarXiv:2609.04748v12026Impact of Data Loss in Postprocessing on Training and Inference of Quantum Neural Networks
Soraya V. Panambalom, Edoardo Altamura, Nick Chancellor +1
quant-phcs.ETcs.LGarXiv:2609.05060v12026Stress Field Prediction in Cantilevered Structures Using Convolutional Neural Networks
Zhenguo Nie, Haoliang Jiang, Levent Burak Kara
cs.LGstat.MLarXiv:1808.08914v32018Learning from VAE Errors to support ECG-based Differential Diagnosis of Myocardial Scar
Shayan Sharifi, Riccardo Treu, Ilaria Gandin +3
cs.LGstat.MLarXiv:2609.05294v12026Data-driven Flood Emulation: Speeding up Urban Flood Predictions by Deep Convolutional Neural Networks
Zifeng Guo, Joao P. Leitao, Nuno E. Simoes +1
cs.CVcs.CYcs.LGarXiv:2004.08340v22020