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)
31,621 to 31,680 of 32,833
Improving Reconstruction Autoencoder Out-of-distribution Detection with Mahalanobis Distance
Taylor Denouden, Rick Salay, Krzysztof Czarnecki +3
cs.LGstat.MLarXiv:1812.02765v12018OmniTact: A Multi-Directional High Resolution Touch Sensor
Akhil Padmanabha, Frederik Ebert, Stephen Tian +3
cs.ROcs.CVcs.LGarXiv:2003.06965v12020No Free Checker: A Survey of Verifiers for Robot Policies
Yang Wan, Xihang Yue, Zhirui Liu +7
cs.ROcs.AIcs.CVarXiv:2609.09250v12026Adversarial Examples that Fool Detectors
Jiajun Lu, Hussein Sibai, Evan Fabry
cs.CVcs.AIcs.GRarXiv:1712.02494v12017An Effective Approach to Unsupervised Machine Translation
Mikel Artetxe, Gorka Labaka, Eneko Agirre
cs.CLcs.AIcs.LGarXiv:1902.01313v22019TRACE: Training Reasoning Agents for Causal Exploration with Synthesized Rewards
Rui Sun, Zhan Shi, Bing He
cs.AIcs.LGarXiv:2609.10315v12026Learning Search Space Partition for Black-box Optimization using Monte Carlo Tree Search
Linnan Wang, Rodrigo Fonseca, Yuandong Tian
cs.LGcs.AIcs.ROarXiv:2007.00708v22020Agent-Based ML-LLM Fusion with Self-Optimizing Prompts for Plateau Weather Alerts
Shuai Yan, Yang Xu, Shan He
cs.AIcs.LGarXiv:2609.10135v12026Deep ConvLSTM with self-attention for human activity decoding using wearables
Satya P. Singh, Aimé Lay-Ekuakille, Deepak Gangwar +2
cs.HCcs.LGeess.SParXiv:2005.00698v22020Scaling Cross-Embodied Learning: One Policy for Manipulation, Navigation, Locomotion and Aviation
Ria Doshi, Homer Walke, Oier Mees +2
cs.ROcs.LGarXiv:2408.11812v12024Self Pre-training with Masked Autoencoders for Medical Image Classification and Segmentation
Lei Zhou, Huidong Liu, Joseph Bae +3
eess.IVcs.CVcs.LGarXiv:2203.05573v22022A scikit-based Python environment for performing multi-label classification
Piotr Szymański, Tomasz Kajdanowicz
cs.LGcs.MSarXiv:1702.01460v52017EMBLEM: Enhancing Multi-script Table Detection through Masking
Dhruv Kudale, Udhay Brahmi, Ganesh Ramakrishnan
cs.LGarXiv:2609.08330v12026Segmentation of the Proximal Femur from MR Images using Deep Convolutional Neural Networks
Cem M. Deniz, Siyuan Xiang, Spencer Hallyburton +5
cs.CVcs.LGstat.MLarXiv:1704.06176v52017NeuralPower: Predict and Deploy Energy-Efficient Convolutional Neural Networks
Ermao Cai, Da-Cheng Juan, Dimitrios Stamoulis +1
cs.LGcs.PFstat.MLarXiv:1710.05420v12017A Machine Learning Framework for Predicting Restaurant Food Waste to Support Sustainable Food Management
Md Mehedi Hasan Naeem, Md Ashraful Islam, Moumita Barua +2
cs.LGarXiv:2609.08078v12026Unsupervised Multi-source Domain Adaptation Without Access to Source Data
Sk Miraj Ahmed, Dripta S. Raychaudhuri, Sujoy Paul +2
cs.LGcs.CVarXiv:2104.01845v12021Improving Chemical Autoencoder Latent Space and Molecular De novo Generation Diversity with Heteroencoders
Esben Jannik Bjerrum, Boris Sattarov
cs.LGstat.MLarXiv:1806.09300v22018GHRS: Graph-based Hybrid Recommendation System with Application to Movie Recommendation
Zahra Zamanzadeh Darban, Mohammad Hadi Valipour
cs.IRcs.AIcs.LGarXiv:2111.11293v22021Evaluation of Contextual Understanding in Large Language Models
Subavarshana Arumugam, Mamta Nallaretnam, Kithuni Wickramasinghe +4
cs.CLcs.LGarXiv:2609.09004v12026Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise
Pengfei Chen, Junjie Ye, Guangyong Chen +2
cs.LGarXiv:2012.05458v12020Large-Scale Differentially Private BERT
Rohan Anil, Badih Ghazi, Vineet Gupta +2
cs.LGcs.CLcs.CRarXiv:2108.01624v12021TTS-GAN: A Transformer-based Time-Series Generative Adversarial Network
Xiaomin Li, Vangelis Metsis, Huangyingrui Wang +1
cs.LGcs.AIarXiv:2202.02691v22022Automatic Grading of Individual Knee Osteoarthritis Features in Plain Radiographs using Deep Convolutional Neural Networks
Aleksei Tiulpin, Simo Saarakkala
eess.IVcs.CVcs.LGarXiv:1907.08020v12019Further Generalizations of the Jaccard Index
Luciano da F. Costa
cs.LGarXiv:2110.09619v320213D Common Corruptions and Data Augmentation
Oğuzhan Fatih Kar, Teresa Yeo, Andrei Atanov +1
cs.CVcs.LGarXiv:2203.01441v32022Distinguishing performance gains from learning when using generative AI
Lixiang Yan, Samuel Greiff, Jason M. Lodge +1
cs.LGcs.HCarXiv:2605.13731v12026Does 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:2112.13906v12021Handling missing values in healthcare data: A systematic review of deep learning-based imputation techniques
Mingxuan Liu, Siqi Li, Han Yuan +7
cs.LGarXiv:2210.08258v12022The Unfairness of Popularity Bias in Music Recommendation: A Reproducibility Study
Dominik Kowald, Markus Schedl, Elisabeth Lex
cs.IRcs.LGcs.SIarXiv:1912.04696v22019Foley Music: Learning to Generate Music from Videos
Chuang Gan, Deng Huang, Peihao Chen +2
cs.CVcs.LGcs.SDarXiv:2007.10984v12020Earth System World Model for What-If Simulations: A Case Study for Terrestrial Ecosystems
Zhihao Wang, Ruichen Wang, Ruohan Li +6
cs.LGcs.AIarXiv:2609.08855v12026LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks
Adam Goodge, Bryan Hooi, See Kiong Ng +1
cs.LGcs.AIarXiv:2112.05355v12021Spatially-Adaptive Image Restoration using Distortion-Guided Networks
Kuldeep Purohit, Maitreya Suin, A. N. Rajagopalan +1
cs.CVcs.LGarXiv:2108.08617v12021Suan: Rectifying Direct Preference Safety Alignment in Large Language Models
Oleksandr Cherednichenko, Roman Klypa
cs.LGcs.AIarXiv:2609.08634v12026SpecAugment on Large Scale Datasets
Daniel S. Park, Yu Zhang, Chung-Cheng Chiu +5
eess.AScs.CLcs.LGarXiv:1912.05533v12019Two-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:2005.14284v12020Interpretable Deep Learning for Automatic Diagnosis of 12-lead Electrocardiogram
Dongdong Zhang, Xiaohui Yuan, Ping Zhang
cs.LGeess.SParXiv:2010.10328v12020Distributed Hierarchical GPU Parameter Server for Massive Scale Deep Learning Ads Systems
Weijie Zhao, Deping Xie, Ronglai Jia +4
cs.DCcs.LGstat.MLarXiv:2003.05622v12020Leveraging 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:2609.08582v12026A Measurement Study of LLM Inference Trade-offs Across Edge Continuum Hardware
Maysam Khatib, Moysis Symeonides, Demetris Trihinas +2
cs.DCcs.AIcs.LGarXiv:2609.08307v12026Tarsier: Recipes for Training and Evaluating Large Video Description Models
Jiawei Wang, Liping Yuan, Yuchen Zhang +1
cs.CVcs.LGarXiv:2407.00634v22024Transformer-based World Models Are Happy With 100k Interactions
Jan Robine, Marc Höftmann, Tobias Uelwer +1
cs.LGcs.AIstat.MLarXiv:2303.07109v12023One-Pass Incomplete Multi-view Clustering
Menglei Hu, Songcan Chen
cs.LGstat.MLarXiv:1903.00637v12019Hardware Trojan Threats to Multi-Chiplet Photonic Neural Network Accelerators
Sudeep Pasricha
cs.ARcs.AIcs.LGarXiv:2609.06796v12026Augmenting 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:2206.10469v22022