Every paper with a summary
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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101,761 to 101,820 of 101,911
The Future of Digital Health with Federated Learning
Nicola Rieke, Jonny Hancox, Wenqi Li +14
cs.CYcs.LGarXiv:2003.08119v22020DeepFM: A Factorization-Machine based Neural Network for CTR Prediction
Huifeng Guo, Ruiming Tang, Yunming Ye +2
cs.IRcs.CLarXiv:1703.04247v12017BinaryConnect: Training Deep Neural Networks with binary weights during propagations
Matthieu Courbariaux, Yoshua Bengio, Jean-Pierre David
cs.LGcs.CVcs.NEarXiv:1511.00363v32015Wolff-Parkinson-White Detection at 471:1 Class Imbalance: A Leakage-Controlled Study of the Data Bottleneck
Nathael Altman
eess.SPcs.LGarXiv:2608.14633v12026Shortcut Learning in Deep Neural Networks
Robert Geirhos, Jörn-Henrik Jacobsen, Claudio Michaelis +4
cs.CVcs.AIcs.LGarXiv:2004.07780v52020Concrete Problems in AI Safety
Dario Amodei, Chris Olah, Jacob Steinhardt +3
cs.AIcs.LGarXiv:1606.06565v22016Cloud Computing and Grid Computing 360-Degree Compared
Ian Foster, Yong Zhao, Ioan Raicu +1
cs.DCarXiv:0901.0131v12008When AI Rewrites, Classifiers Relax: Uncertainty-Aware Sentiment Analysis on Sarcastic and AI-Paraphrased Social Text
Shresth Shroff
cs.CLcs.AIarXiv:2608.15338v12026Energy and Policy Considerations for Deep Learning in NLP
Emma Strubell, Ananya Ganesh, Andrew McCallum
cs.CLarXiv:1906.02243v12019Implicit Neural Representations with Periodic Activation Functions
Vincent Sitzmann, Julien N. P. Martel, Alexander W. Bergman +2
cs.CVcs.LGeess.IVarXiv:2006.09661v12020Towards Smart and Reconfigurable Environment: Intelligent Reflecting Surface Aided Wireless Network
Qingqing Wu, Rui Zhang
cs.ITcs.NIarXiv:1905.00152v52019Geometric deep learning: going beyond Euclidean data
Michael M. Bronstein, Joan Bruna, Yann LeCun +2
cs.CVarXiv:1611.08097v22016Let's Verify Step by Step
Hunter Lightman, Vineet Kosaraju, Yura Burda +7
cs.LGcs.AIcs.CLarXiv:2305.20050v12023Improved Baselines with Momentum Contrastive Learning
Xinlei Chen, Haoqi Fan, Ross Girshick +1
cs.CVarXiv:2003.04297v12020Multi-column Deep Neural Networks for Image Classification
Dan Cireşan, Ueli Meier, Juergen Schmidhuber
cs.CVcs.AIarXiv:1202.2745v12012Improved Regularization of Convolutional Neural Networks with Cutout
Terrance DeVries, Graham W. Taylor
cs.CVarXiv:1708.04552v22017DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation
Nataniel Ruiz, Yuanzhen Li, Varun Jampani +3
cs.CVcs.GRcs.LGarXiv:2208.12242v22022A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks
Dan Hendrycks, Kevin Gimpel
cs.NEcs.CVcs.LGarXiv:1610.02136v32016The Mythos of Model Interpretability
Zachary C. Lipton
cs.LGcs.AIcs.CVarXiv:1606.03490v32016The Impact of CutMix on Reliability and Robustness in Semantic Segmentation
Steven Landgraf, Markus Ulrich
cs.CVcs.AIcs.LGarXiv:2608.18715v12026HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Units
Wei-Ning Hsu, Benjamin Bolte, Yao-Hung Hubert Tsai +3
cs.CLcs.AIcs.LGarXiv:2106.07447v12021Impact of Iterative Fine-Tuning on Transcription Accuracy in Complex Historical Sanskrit Manuscripts
Kartik Chincholikar, Kaushik Gopalan, Mihir Hasabnis
cs.CVcs.AIarXiv:2608.18696v12026EEVEE: Towards Test-time Prompt Learning in the Real World for Self-Improving Agents
Weixian Xu, Shilong Liu, Mengdi Wang
cs.LGcs.AIarXiv:2606.11182v12026When Do LLMs Actually Help? Evaluating LLMs as Data Quality Annotators
Praphulla Lal Shrestha
cs.CLcs.AIarXiv:2608.18158v12026StocksTalk: A Voice-Enabled Conversational Agent for Structured Query Generation over Web Data
Akshat Parmar, Vikranth Udandarao, Abhay Shakya +4
cs.CLcs.AIcs.LGarXiv:2608.18105v12026ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenes
Angela Dai, Angel X. Chang, Manolis Savva +3
cs.CVarXiv:1702.04405v22017Large Scale GAN Training for High Fidelity Natural Image Synthesis
Andrew Brock, Jeff Donahue, Karen Simonyan
cs.LGstat.MLarXiv:1809.11096v22018Quantum cryptography: Public key distribution and coin tossing
Charles H. Bennett, Gilles Brassard
quant-pharXiv:2003.06557v12020CTIFoundry: An Agent-Native Corpus Scaffold for Cyber Threat Intelligence
Yutong Cheng, Changze Li, Qian Cui +4
cs.AIcs.CRarXiv:2608.18613v12026Syntactic Simplification of OWL Class Expressions
Alkid Baci, N'Dah Jean Kouagou, Caglar Demir +1
cs.AIarXiv:2608.18899v12026Cuckoo Search via Levy Flights
Xin-She Yang, Suash Deb
math.OCarXiv:1003.1594v12010A Multi-Agent Platform for Automated Enterprise Analytics and Insight Generation
Manoj N M, Vijayakrishna S, Manjunath Srinivas +1
cs.AIarXiv:2608.18740v12026Bridging Search and CRM: Productionizing AI Product Research Agents for Customer Re-Engagement
Mandar Kulkarni, Pooja A., Samir Shah
cs.AIarXiv:2608.18543v12026Neural Collaborative Filtering
Xiangnan He, Lizi Liao, Hanwang Zhang +3
cs.IRarXiv:1708.05031v22017Robust Principal Component Analysis?
Emmanuel J. Candes, Xiaodong Li, Yi Ma +1
cs.ITarXiv:0912.3599v12009What Will 5G Be?
Jeffrey G. Andrews, Stefano Buzzi, Wan Choi +4
cs.ITcs.NIarXiv:1405.2957v12014Pairwise Ranking Outperforms Single-Action RL for Offline Explanation Selection: A Practical Lesson
Tanay Chowdhury, Saeideh Shahrokh Esfahani
cs.AIcs.LGarXiv:2608.18531v12026Neural Machine Translation of Rare Words with Subword Units
Rico Sennrich, Barry Haddow, Alexandra Birch
cs.CLarXiv:1508.07909v52015FraudBench: Stress-Testing Policy-Grounded Banking Agents Against Adaptive Fraud
Dheeraj Mohandas Pai, Lu Xian
cs.AIcs.LGarXiv:2608.18136v12026MagViT: Interpretable Multi-Magnification Transformers with Patient-Level Model Selection for Breast Histopathology
Nabil Ashab, Soumit Kumar Kundu, Saif Mahmud Parvez +3
eess.IVcs.CVcs.LGarXiv:2608.16959v12026Agents unlock new capabilities through Switching LoRA Adapters as a Tool (SLAaaT)
Kenneth Ge
cs.LGarXiv:2608.17034v12026Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset
Joao Carreira, Andrew Zisserman
cs.CVcs.LGarXiv:1705.07750v32017Conditional Generative Adversarial Nets
Mehdi Mirza, Simon Osindero
cs.LGcs.AIcs.CVarXiv:1411.1784v12014Aligning sequence reads, clone sequences and assembly contigs with BWA-MEM
Heng Li
q-bio.GNarXiv:1303.3997v22013Convolutional Neural Networks for Sentence Classification
Yoon Kim
cs.CLcs.NEarXiv:1408.5882v22014Pyramid Scene Parsing Network
Hengshuang Zhao, Jianping Shi, Xiaojuan Qi +2
cs.CVarXiv:1612.01105v22016ENAF: A Multi-Exit Network with an Adaptive Patch Fusion for Large Image Super Resolution
Duong M. Nguyen, Tuan Nghia Nguyen, Xuan Truong Nguyen
cs.CVcs.AIeess.IVarXiv:2608.15349v12026Array Programming with NumPy
Charles R. Harris, K. Jarrod Millman, Stéfan J. van der Walt +23
cs.MSstat.COarXiv:2006.10256v12020Primitive Representation Learning for Unsupervised Dynamic Contrast Enhanced MRI Reconstruction
Veronika Spieker, Wenqi Huang, Cemre Ariyurek +5
eess.IVcs.CVcs.LGarXiv:2608.18055v22026Large Language Models Show Metacognitive Sensitivity in Medical Reasoning
Ahmad Nazzal
cs.AIarXiv:2608.14552v12026Runtime Governance for Agentic AI: Action-Boundary Control with Trusted Provenance and Fail-Closed Execution
Adam Mazzocchetti
cs.AIcs.CEcs.CRarXiv:2608.16891v12026Early Cycle Charge Trajectory Generative Prediction and Full Life Cycle Health Management of Iron-Chromium Flow Batteries Based on FlowBD-E1
Suyang Zhuang, Zekun Jiang, Tianhang Zhou
cs.LGstat.MEarXiv:2608.14637v12026Architecture-Dependent Causal Transfer of Activation States Across Large Language Models
Fernando Cardenas Piepereit
cs.CLcs.LGarXiv:2608.16347v12026The Acknowledgment Point Is the System: Durable Policy-Decision Receipts for AI Audit Evidence
Neeraj Kumar Singh Beshane
cs.CRcs.AIarXiv:2608.17176v12026Historical Backtesting for Scientific Question Discovery: A Protocol and Astronomy Pilot
Hui Mao
cs.CEcs.AIarXiv:2608.16795v12026CABLE: Extending the Reach of Memory Retrieval via Complementary Antecedent-Based Linking and Expansion
Zheling Tan, Jin Gao, Dequan Wang
cs.CLarXiv:2608.17911v12026What Aggregate Scores Miss: Measuring Item-Level Regressions in Commercial LLM API Migrations
Xiaonan Xu, Wenjing Wu
cs.SEcs.AIcs.CLarXiv:2608.17719v12026Duration Aware Scheduling for ASR Serving Under Workload Drift
Darshan Makwana, Yash Jogi, Harsh Kotta +1
cs.LGarXiv:2603.11273v12026Identifying Harm in Personalized, Generative AI Systems Requires User-Centered Auditing at the Interaction Level
Hannah Cha
cs.CYcs.AIcs.HCarXiv:2608.14692v12026Position: AI Agents in Scientific Teams Should Be Studied as Human-Agent Systems
Patrick Emami, Sameera Horawalavithana, Truc Nguyen +11
cs.AIcs.HCarXiv:2608.14667v12026