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Every arXiv paper Paperlayer has summarized so far. 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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58,981 to 59,040 of 115,708
Statistical stability indices for LIME: obtaining reliable explanations for Machine Learning models
Giorgio Visani, Enrico Bagli, Federico Chesani +2
cs.LGcs.AIstat.MLarXiv:2001.11757v22020Bayesian-Optimized Superpixel-GrabCut for Traceable Optic Disc Segmentation
Shraddha Changune, Vivek Noel Soren, Gautam Das +1
cs.CVeess.IVarXiv:2608.29196v12026Learning Discourse-level Diversity for Neural Dialog Models using Conditional Variational Autoencoders
Tiancheng Zhao, Ran Zhao, Maxine Eskenazi
cs.CLcs.AIarXiv:1703.10960v32017Rethinking Action Spaces for Reinforcement Learning in End-to-end Dialog Agents with Latent Variable Models
Tiancheng Zhao, Kaige Xie, Maxine Eskenazi
cs.CLcs.AIarXiv:1902.08858v22019Functional Adversarial Attacks
Cassidy Laidlaw, Soheil Feizi
cs.LGcs.CVarXiv:1906.00001v22019Minimap2: pairwise alignment for nucleotide sequences
Heng Li
q-bio.GNarXiv:1708.01492v52017Graph Convolutional Label Noise Cleaner: Train a Plug-and-play Action Classifier for Anomaly Detection
Jia-Xing Zhong, Nannan Li, Weijie Kong +3
cs.CVarXiv:1903.07256v12019Machine Learning Predicts Laboratory Earthquakes
Bertrand Rouet-Leduc, Claudia Hulbert, Nicholas Lubbers +3
physics.geo-pharXiv:1702.05774v12017The Variational Quantum Eigensolver: a review of methods and best practices
Jules Tilly, Hongxiang Chen, Shuxiang Cao +8
quant-pharXiv:2111.05176v32021Agent-in-the-Loop: A Data Flywheel for Continuous Improvement in LLM-based Customer Support
Cen Mia Zhao, Tiantian Zhang, Hanchen Su +8
cs.AIarXiv:2510.06674v22025A Survey of Methods for Managing the Classification and Solution of Data Imbalance Problem
Khan Md. Hasib, Md. Sadiq Iqbal, Faisal Muhammad Shah +5
cs.LGarXiv:2012.11870v12020Learning to Resize Images for Computer Vision Tasks
Hossein Talebi, Peyman Milanfar
cs.CVcs.LGarXiv:2103.09950v22021LoopArena: Benchmarking Models as Runtime Controllers for Loop Engineering
Yi Wang, Haopeng Zhang, Chengxiang Huang +4
cs.AIarXiv:2608.28281v12026Text Editing by Command
Felix Faltings, Michel Galley, Gerold Hintz +4
cs.CLarXiv:2010.12826v12020Superradiant Quantum Heat Engine
Ali Ü. C. Hardal, Özgür E. Müstecaplıoglu
quant-pharXiv:1503.03797v32015Recon-Act: A Self-Evolving Multi-Agent Browser-Use System via Web Reconnaissance, Tool Generation, and Task Execution
Kaiwen He, Zhiwei Wang, Chenyi Zhuang +1
cs.AIarXiv:2509.21072v12025Qualixar OS: A Universal Operating System for AI Agent Orchestration
Varun Pratap Bhardwaj
cs.AIcs.MAcs.SEarXiv:2604.06392v12026Deep Reinforcement Learning Based Intelligent Reflecting Surface for Secure Wireless Communications
Helin Yang, Zehui Xiong, Jun Zhao +3
eess.SParXiv:2002.12271v52020Learning Transferable Visual Models From Natural Language Supervision
Alec Radford, Jong Wook Kim, Chris Hallacy +9
cs.CVcs.LGarXiv:2103.00020v12021Summaries:한국어Evaluating Generative Models for Graph-to-Text Generation
Shuzhou Yuan, Michael Färber
cs.CLcs.AIarXiv:2307.14712v12023Reinforcement Learning for IoT Security: A Comprehensive Survey
Aashma Uprety, Danda B. Rawat
cs.LGcs.AIarXiv:2102.07247v12021A power consensus algorithm for DC microgrids
Claudio De Persis, Erieke Weitenberg, Florian Dorfler
math.OCcs.SYeess.SYarXiv:1611.04192v22016On Recognizing Texts of Arbitrary Shapes with 2D Self-Attention
Junyeop Lee, Sungrae Park, Jeonghun Baek +3
cs.CVarXiv:1910.04396v12019Make Tracking Easy: Neural Motion Retargeting for Humanoid Whole-body Control
Qingrui Zhao, Kaiyue Yang, Xiyu Wang +6
cs.ROarXiv:2603.22201v32026Artificial Artificial Artificial Intelligence: Crowd Workers Widely Use Large Language Models for Text Production Tasks
Veniamin Veselovsky, Manoel Horta Ribeiro, Robert West
cs.CLcs.CYarXiv:2306.07899v12023CoRT: Code-integrated Reasoning within Thinking
Chengpeng Li, Zhengyang Tang, Ziniu Li +8
cs.CLcs.AIcs.LGarXiv:2506.09820v22025Pano: Optimizing 360° Video Streaming with a Better Understanding of Quality Perception
Yu Guan, Chengyuan Zheng, Zongming Guo +2
cs.MMarXiv:1911.04139v12019TCTrack: Temporal Contexts for Aerial Tracking
Ziang Cao, Ziyuan Huang, Liang Pan +3
cs.CVarXiv:2203.01885v32022Distributed Stochastic Gradient Tracking Methods
Shi Pu, Angelia Nedić
math.OCcs.DCcs.SIarXiv:1805.11454v52018SecureBERT: A Domain-Specific Language Model for Cybersecurity
Ehsan Aghaei, Xi Niu, Waseem Shadid +1
cs.CLcs.AIcs.CRarXiv:2204.02685v32022A SIDARTHE Model of COVID-19 Epidemic in Italy
Giulia Giordano, Franco Blanchini, Raffaele Bruno +5
q-bio.PEeess.SYmath.DSarXiv:2003.09861v12020F5-TTS: A Fairytaler that Fakes Fluent and Faithful Speech with Flow Matching
Yushen Chen, Zhikang Niu, Ziyang Ma +5
eess.AScs.SDarXiv:2410.06885v32024Text Modular Networks: Learning to Decompose Tasks in the Language of Existing Models
Tushar Khot, Daniel Khashabi, Kyle Richardson +2
cs.CLcs.AIarXiv:2009.00751v22020On the approximation of posterior laws in compound loss models by conditional Wasserstein GANs
Aleksandar Arandjelovic, Pavel V. Shevchenko, George Tzougas
q-fin.RMstat.MLarXiv:2608.27229v12026On the Fairness of Disentangled Representations
Francesco Locatello, Gabriele Abbati, Tom Rainforth +3
cs.LGstat.MLarXiv:1905.13662v22019Logistic Regression, Neural Networks and Dempster-Shafer Theory: a New Perspective
Thierry Denoeux
cs.LGstat.MLarXiv:1807.01846v32018Pre-training Code Representation with Semantic Flow Graph for Effective Bug Localization
Yali Du, Zhongxing Yu
cs.SEarXiv:2308.12773v12023The Unanticipated Asymmetry Between Perceptual Optimization and Assessment
Jiabei Zhang, Qi Wang, Siyu Wu +2
cs.CVarXiv:2509.20878v12025Transolver-3: Scaling Up Transformer Solvers to Industrial-Scale Geometries
Hang Zhou, Haixu Wu, Haonan Shangguan +4
cs.LGarXiv:2602.04940v22026Entanglement-Based Machine Learning on a Quantum Computer
X. -D. Cai, D. Wu, Z. -E. Su +6
quant-phcond-mat.otherarXiv:1409.7770v42014Bayesian Coreset Construction via Greedy Iterative Geodesic Ascent
Trevor Campbell, Tamara Broderick
stat.MLcs.LGstat.COarXiv:1802.01737v22018Semi-supervised clustering methods
Eric Bair
stat.MEcs.LGstat.MLarXiv:1307.0252v12013SIXray : A Large-scale Security Inspection X-ray Benchmark for Prohibited Item Discovery in Overlapping Images
Caijing Miao, Lingxi Xie, Fang Wan +4
cs.CVarXiv:1901.00303v12019CPM: A Large-scale Generative Chinese Pre-trained Language Model
Zhengyan Zhang, Xu Han, Hao Zhou +22
cs.CLarXiv:2012.00413v12020Using Bad Learners to find Good Configurations
Vivek Nair, Tim Menzies, Norbert Siegmund +1
cs.SEarXiv:1702.05701v22017Vehicle Re-identification with Viewpoint-aware Metric Learning
Ruihang Chu, Yifan Sun, Yadong Li +3
cs.CVarXiv:1910.04104v12019Conditioning Probabilistic Databases
Christoph Koch, Dan Olteanu
cs.DBcs.AIarXiv:0803.2212v22008SymDiag: Explainable Diagnosis for LLM Reasoning via Neuro-Symbolic Verification
Wenyao Cui, Huaping Zhang, Yongyi Huang +6
cs.AIarXiv:2608.08786v12026Image Generation Via Minimizing Fr\'echet Distance in Discriminator Feature Space
Khoa D. Doan, Saurav Manchanda, Fengjiao Wang +3
cs.CVcs.LGeess.IVarXiv:2003.11774v22020SMOTE-ENC: A novel SMOTE-based method to generate synthetic data for nominal and continuous features
Mimi Mukherjee, Matloob Khushi
cs.LGcs.AIarXiv:2103.07612v12021Gait Recognition in the Wild with Dense 3D Representations and A Benchmark
Jinkai Zheng, Xinchen Liu, Wu Liu +3
cs.CVarXiv:2204.02569v12022Benchmarking LLM Tool-Use in the Wild
Peijie Yu, Wei Liu, Yifan Yang +4
cs.HCcs.AIcs.CLarXiv:2604.06185v12026Training recurrent neural networks robust to incomplete data: application to Alzheimer's disease progression modeling
Mostafa Mehdipour Ghazi, Mads Nielsen, Akshay Pai +4
cs.CVcs.LGstat.MLarXiv:1903.07173v12019Exponential expressivity in deep neural networks through transient chaos
Ben Poole, Subhaneil Lahiri, Maithra Raghu +2
stat.MLcond-mat.dis-nncs.LGarXiv:1606.05340v22016Trans-SVNet: Accurate Phase Recognition from Surgical Videos via Hybrid Embedding Aggregation Transformer
Xiaojie Gao, Yueming Jin, Yonghao Long +2
cs.CVcs.AIarXiv:2103.09712v22021Improving Multilingual Models with Language-Clustered Vocabularies
Hyung Won Chung, Dan Garrette, Kiat Chuan Tan +1
cs.CLcs.LGarXiv:2010.12777v12020Visual Commonsense R-CNN
Tan Wang, Jianqiang Huang, Hanwang Zhang +1
cs.CVarXiv:2002.12204v32020Adversarial Examples Make Strong Poisons
Liam Fowl, Micah Goldblum, Ping-yeh Chiang +3
cs.LGcs.CRarXiv:2106.10807v12021Plug and play methods for magnetic resonance imaging (long version)
Rizwan Ahmad, Charles A. Bouman, Gregery T. Buzzard +4
cs.CVarXiv:1903.08616v52019Hyperbolic Entailment Cones for Learning Hierarchical Embeddings
Octavian-Eugen Ganea, Gary Bécigneul, Thomas Hofmann
cs.LGstat.MLarXiv:1804.01882v32018