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.
Search paper metadata (including unsummarized papers)
53,821 to 53,880 of 61,258
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition
Boyan Zhou, Quan Cui, Xiu-Shen Wei +1
cs.CVcs.LGarXiv:1912.02413v42019Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning
William Lotter, Gabriel Kreiman, David Cox
cs.LGcs.AIcs.CVarXiv:1605.08104v52016Deep Learning-Based Human Pose Estimation: A Survey
Ce Zheng, Wenhan Wu, Chen Chen +5
cs.CVcs.GRcs.MMarXiv:2012.13392v52020Visual7W: Grounded Question Answering in Images
Yuke Zhu, Oliver Groth, Michael Bernstein +1
cs.CVcs.LGcs.NEarXiv:1511.03416v42015DualPath: Breaking the Storage Bandwidth Bottleneck in Agentic LLM Inference
Yongtong Wu, Shaoyuan Chen, Yinmin Zhong +10
cs.DCarXiv:2602.21548v22026Quartet II: Accurate LLM Pre-Training in NVFP4 by Improved Unbiased Gradient Estimation
Andrei Panferov, Erik Schultheis, Soroush Tabesh +1
cs.LGarXiv:2601.22813v22026Universal Transformers
Mostafa Dehghani, Stephan Gouws, Oriol Vinyals +2
cs.CLcs.LGstat.MLarXiv:1807.03819v32018Extracting Training Data from Diffusion Models
Nicholas Carlini, Jamie Hayes, Milad Nasr +6
cs.CRcs.CVcs.LGarXiv:2301.13188v12023Interpretable Machine Learning: Fundamental Principles and 10 Grand Challenges
Cynthia Rudin, Chaofan Chen, Zhi Chen +3
cs.LGstat.MLarXiv:2103.11251v22021Deep, Convolutional, and Recurrent Models for Human Activity Recognition using Wearables
Nils Y. Hammerla, Shane Halloran, Thomas Ploetz
cs.LGcs.AIcs.HCarXiv:1604.08880v12016Brain Intelligence: Go Beyond Artificial Intelligence
Huimin Lu, Yujie Li, Min Chen +2
cs.CVarXiv:1706.01040v12017The UK-DALE dataset, domestic appliance-level electricity demand and whole-house demand from five UK homes
Jack Kelly, William Knottenbelt
cs.OHarXiv:1404.0284v32014FireRedASR2S: A State-of-the-Art Industrial-Grade All-in-One Automatic Speech Recognition System
Kaituo Xu, Yan Jia, Kai Huang +6
eess.AScs.SDarXiv:2603.10420v12026FASTER: Rethinking Real-Time Flow VLAs
Yuxiang Lu, Zhe Liu, Xianzhe Fan +5
cs.ROcs.CVarXiv:2603.19199v32026SSD-6D: Making RGB-based 3D detection and 6D pose estimation great again
Wadim Kehl, Fabian Manhardt, Federico Tombari +2
cs.CVarXiv:1711.10006v12017According to Me: Long-Term Personalized Referential Memory QA
Jingbiao Mei, Jinghong Chen, Guangyu Yang +3
cs.AIcs.CLcs.CVarXiv:2603.01990v12026Effect of Confidence and Explanation on Accuracy and Trust Calibration in AI-Assisted Decision Making
Yunfeng Zhang, Q. Vera Liao, Rachel K. E. Bellamy
cs.AIcs.HCarXiv:2001.02114v12020From Narrow to Panoramic Vision: Attention-Guided Cold-Start Reshapes Multimodal Reasoning
Ruilin Luo, Chufan Shi, Yizhen Zhang +10
cs.CVcs.AIarXiv:2603.03825v12026Assessing the Ability of LSTMs to Learn Syntax-Sensitive Dependencies
Tal Linzen, Emmanuel Dupoux, Yoav Goldberg
cs.CLarXiv:1611.01368v12016Physical Simulator In-the-Loop Video Generation
Lin Geng Foo, Mark He Huang, Alexandros Lattas +3
cs.CVcs.AIcs.GRarXiv:2603.06408v12026Practical Non-linear Energy Harvesting Model and Resource Allocation for SWIPT Systems
Elena Boshkovska, Derrick Wing Kwan Ng, Nikola Zlatanov +1
cs.ITarXiv:1509.02956v12015Texture Networks: Feed-forward Synthesis of Textures and Stylized Images
Dmitry Ulyanov, Vadim Lebedev, Andrea Vedaldi +1
cs.CVarXiv:1603.03417v12016Jukebox: A Generative Model for Music
Prafulla Dhariwal, Heewoo Jun, Christine Payne +3
eess.AScs.LGcs.SDarXiv:2005.00341v12020PromptRL: Prompt Matters in RL for Flow-Based Image Generation
Fu-Yun Wang, Han Zhang, Michael Gharbi +2
cs.CVcs.LGarXiv:2602.01382v12026Photographic Image Synthesis with Cascaded Refinement Networks
Qifeng Chen, Vladlen Koltun
cs.CVcs.AIcs.GRarXiv:1707.09405v12017Detecting Text in Natural Image with Connectionist Text Proposal Network
Zhi Tian, Weilin Huang, Tong He +2
cs.CVarXiv:1609.03605v12016A Survey of Data Augmentation Approaches for NLP
Steven Y. Feng, Varun Gangal, Jason Wei +4
cs.CLcs.AIcs.LGarXiv:2105.03075v52021Generation Enhances Understanding in Unified Multimodal Models via Multi-Representation Generation
Zihan Su, Hongyang Wei, Kangrui Cen +4
cs.CVcs.LGarXiv:2601.21406v32026Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation
Junde Wu, Wei Ji, Yuanpei Liu +4
cs.CVarXiv:2304.12620v72023KromHC: Manifold-Constrained Hyper-Connections with Kronecker-Product Residual Matrices
Wuyang Zhou, Yuxuan Gu, Giorgos Iacovides +1
cs.CLcs.LGarXiv:2601.21579v22026HY3D-Bench: Generation of 3D Assets
Team Hunyuan3D, :, Bowen Zhang +22
cs.CVcs.AIarXiv:2602.03907v12026A Simple Baseline for Bayesian Uncertainty in Deep Learning
Wesley Maddox, Timur Garipov, Pavel Izmailov +2
cs.LGcs.AIcs.CVarXiv:1902.02476v22019SO-Net: Self-Organizing Network for Point Cloud Analysis
Jiaxin Li, Ben M. Chen, Gim Hee Lee
cs.CVarXiv:1803.04249v42018Generated Reality: Human-centric World Simulation using Interactive Video Generation with Hand and Camera Control
Linxi Xie, Lisong C. Sun, Ashley Neall +3
cs.CVarXiv:2602.18422v12026fPINNs: Fractional Physics-Informed Neural Networks
Guofei Pang, Lu Lu, George Em Karniadakis
physics.comp-pharXiv:1811.08967v12018DeepResearchEval: An Automated Framework for Deep Research Task Construction and Agentic Evaluation
Yibo Wang, Lei Wang, Yue Deng +7
cs.CLarXiv:2601.09688v12026Learning Enriched Features for Real Image Restoration and Enhancement
Syed Waqas Zamir, Aditya Arora, Salman Khan +4
cs.CVarXiv:2003.06792v22020Non-Orthogonal Multiple Access for 5G and Beyond
Yuanwei Liu, Zhijin Qin, Maged Elkashlan +3
cs.ITarXiv:1808.00277v12018galpy: A Python Library for Galactic Dynamics
Jo Bovy
astro-ph.GAastro-ph.IMarXiv:1412.3451v12014Mittag-Leffler Functions and Their Applications
H. J. Haubold, A. M. Mathai, R. K. Saxena
math.CAcond-mat.stat-mecharXiv:0909.0230v22009Locate, Steer, and Improve: A Practical Survey of Actionable Mechanistic Interpretability in Large Language Models
Hengyuan Zhang, Zhihao Zhang, Mingyang Wang +26
cs.CLarXiv:2601.14004v42026Attention Sinks Are Provably Necessary in Softmax Transformers: Evidence from Trigger-Conditional Tasks
Yuval Ran-Milo
cs.LGarXiv:2603.11487v52026WebWorld: A Large-Scale World Model for Web Agent Training
Zikai Xiao, Jianhong Tu, Chuhang Zou +7
cs.AIarXiv:2602.14721v12026Certified Defenses against Adversarial Examples
Aditi Raghunathan, Jacob Steinhardt, Percy Liang
cs.LGarXiv:1801.09344v22018GraphVAE: Towards Generation of Small Graphs Using Variational Autoencoders
Martin Simonovsky, Nikos Komodakis
cs.LGcs.CVcs.NEarXiv:1802.03480v12018BeaverTails: Towards Improved Safety Alignment of LLM via a Human-Preference Dataset
Jiaming Ji, Mickel Liu, Juntao Dai +7
cs.CLarXiv:2307.04657v32023Questioning the AI: Informing Design Practices for Explainable AI User Experiences
Q. Vera Liao, Daniel Gruen, Sarah Miller
cs.HCcs.AIcs.LGarXiv:2001.02478v32020Safe Reinforcement Learning via Shielding
Mohammed Alshiekh, Roderick Bloem, Ruediger Ehlers +3
cs.LOcs.AIcs.LGarXiv:1708.08611v22017Stochastic Gradient Hamiltonian Monte Carlo
Tianqi Chen, Emily B. Fox, Carlos Guestrin
stat.MEcs.LGstat.MLarXiv:1402.4102v22014The Unmanned Aerial Vehicle Benchmark: Object Detection and Tracking
Dawei Du, Yuankai Qi, Hongyang Yu +6
cs.CVarXiv:1804.00518v12018The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches
Md Zahangir Alom, Tarek M. Taha, Christopher Yakopcic +6
cs.CVarXiv:1803.01164v22018Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks
Jun Xiao, Hao Ye, Xiangnan He +3
cs.LGarXiv:1708.04617v12017Agentic Uncertainty Quantification
Jiaxin Zhang, Prafulla Kumar Choubey, Kung-Hsiang Huang +2
cs.AIcs.CLarXiv:2601.15703v12026RLBench: The Robot Learning Benchmark & Learning Environment
Stephen James, Zicong Ma, David Rovick Arrojo +1
cs.ROcs.AIcs.CVarXiv:1909.12271v12019On Fairness and Calibration
Geoff Pleiss, Manish Raghavan, Felix Wu +2
cs.LGcs.CYstat.MLarXiv:1709.02012v22017TIC-VLA: A Think-in-Control Vision-Language-Action Model for Robot Navigation in Dynamic Environments
Zhiyu Huang, Yun Zhang, Johnson Liu +3
cs.ROarXiv:2602.02459v22026FCOS: A simple and strong anchor-free object detector
Zhi Tian, Chunhua Shen, Hao Chen +1
cs.CVarXiv:2006.09214v32020Firefly Algorithm: Recent Advances and Applications
Xin-She Yang, Xingshi He
math.OCcs.AIarXiv:1308.3898v12013Safety Verification of Deep Neural Networks
Xiaowei Huang, Marta Kwiatkowska, Sen Wang +1
cs.AIcs.LGstat.MLarXiv:1610.06940v32016RLAnything: Forge Environment, Policy, and Reward Model in Completely Dynamic RL System
Yinjie Wang, Tianbao Xie, Ke Shen +2
cs.LGcs.AIcs.CLarXiv:2602.02488v12026