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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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115,561 to 115,620 of 117,317
In Ictu Oculi: Exposing AI Generated Fake Face Videos by Detecting Eye Blinking
Yuezun Li, Ming-Ching Chang, Siwei Lyu
cs.CVarXiv:1806.02877v22018Deep Neural Networks Motivated by Partial Differential Equations
Lars Ruthotto, Eldad Haber
cs.LGmath.OCstat.MLarXiv:1804.04272v22018Ultrafast photo-magnetic recording in transparent medium
A. Stupakiewicz, K. Szerenos, D. Afanasiev +2
cs.ETarXiv:1609.05223v12016Multi-scale brain networks
Richard F. Betzel, Danielle S. Bassett
q-bio.NCphysics.soc-pharXiv:1608.08828v22016Successor Features for Transfer in Reinforcement Learning
André Barreto, Will Dabney, Rémi Munos +4
cs.AIarXiv:1606.05312v22016Playing hard exploration games by watching YouTube
Yusuf Aytar, Tobias Pfaff, David Budden +3
cs.LGcs.AIcs.CVarXiv:1805.11592v22018Complex Systems: A Survey
M. E. J. Newman
cond-mat.stat-mechnlin.AOphysics.soc-pharXiv:1112.1440v12011maplab: An Open Framework for Research in Visual-inertial Mapping and Localization
Thomas Schneider, Marcin Dymczyk, Marius Fehr +4
cs.ROarXiv:1711.10250v12017Universal Language Model Fine-tuning for Text Classification
Jeremy Howard, Sebastian Ruder
cs.CLcs.LGstat.MLarXiv:1801.06146v52018Broadband DOA estimation using Convolutional neural networks trained with noise signals
Soumitro Chakrabarty, Emanuël. A. P. Habets
cs.SDstat.MLarXiv:1705.00919v22017PReMVOS: Proposal-generation, Refinement and Merging for Video Object Segmentation
Jonathon Luiten, Paul Voigtlaender, Bastian Leibe
cs.CVarXiv:1807.09190v22018The why, how, and when of representations for complex systems
Leo Torres, Ann S. Blevins, Danielle S. Bassett +1
cs.SIcs.DMq-bio.QMarXiv:2006.02870v12020One-Shot Relational Learning for Knowledge Graphs
Wenhan Xiong, Mo Yu, Shiyu Chang +2
cs.CLarXiv:1808.09040v12018Advanced tools for smartphone-based experiments: phyphox
Sebastian Staacks, Simon Hütz, Heidrun Heinke +1
physics.ed-pharXiv:1804.06239v12018Training Neural Networks with Fixed Sparse Masks
Yi-Lin Sung, Varun Nair, Colin Raffel
cs.LGarXiv:2111.09839v12021DoWhy: An End-to-End Library for Causal Inference
Amit Sharma, Emre Kiciman
stat.MEcs.AIcs.MSarXiv:2011.04216v12020The future of human-AI collaboration: a taxonomy of design knowledge for hybrid intelligence systems
Dominik Dellermann, Adrian Calma, Nikolaus Lipusch +3
cs.AIcs.HCarXiv:2105.03354v12021GLM-4-Voice: Towards Intelligent and Human-Like End-to-End Spoken Chatbot
Aohan Zeng, Zhengxiao Du, Mingdao Liu +5
cs.CLcs.SDeess.ASarXiv:2412.02612v12024Challenges and Opportunities in Securing the Industrial Internet of Things
Martin Serror, Sacha Hack, Martin Henze +2
cs.CRcs.NIarXiv:2111.11714v12021Distilling Knowledge from Graph Convolutional Networks
Yiding Yang, Jiayan Qiu, Mingli Song +2
cs.CVarXiv:2003.10477v42020DeepFood: Deep Learning-Based Food Image Recognition for Computer-Aided Dietary Assessment
Chang Liu, Yu Cao, Yan Luo +3
cs.CVarXiv:1606.05675v12016Riemannian Score-Based Generative Modelling
Valentin De Bortoli, Emile Mathieu, Michael Hutchinson +3
cs.LGmath.PRstat.MLarXiv:2202.02763v32022Vision-Language Models for Medical Report Generation and Visual Question Answering: A Review
Iryna Hartsock, Ghulam Rasool
cs.CVcs.LGarXiv:2403.02469v22024Learning Agile Soccer Skills for a Bipedal Robot with Deep Reinforcement Learning
Tuomas Haarnoja, Ben Moran, Guy Lever +25
cs.ROcs.AIcs.LGarXiv:2304.13653v22023Boundary-Aware Feature Propagation for Scene Segmentation
Henghui Ding, Xudong Jiang, Ai Qun Liu +2
cs.CVarXiv:1909.00179v12019Gated-Attention Architectures for Task-Oriented Language Grounding
Devendra Singh Chaplot, Kanthashree Mysore Sathyendra, Rama Kumar Pasumarthi +2
cs.LGcs.AIcs.CLarXiv:1706.07230v22017Semantically Enhanced Software Traceability Using Deep Learning Techniques
Jin Guo, Jinghui Cheng, Jane Cleland-Huang
cs.SEarXiv:1804.02438v12018Score-Based Generative Modeling with Critically-Damped Langevin Diffusion
Tim Dockhorn, Arash Vahdat, Karsten Kreis
stat.MLcs.LGarXiv:2112.07068v42021Unsupervised Object Discovery and Localization in the Wild: Part-based Matching with Bottom-up Region Proposals
Minsu Cho, Suha Kwak, Cordelia Schmid +1
cs.CVarXiv:1501.06170v32015Pre-Training with Whole Word Masking for Chinese BERT
Yiming Cui, Wanxiang Che, Ting Liu +2
cs.CLcs.LGarXiv:1906.08101v32019ThunderNet: Towards Real-time Generic Object Detection
Zheng Qin, Zeming Li, Zhaoning Zhang +4
cs.CVarXiv:1903.11752v32019Blockchain-oriented Software Engineering: Challenges and New Directions
Simone Porru, Andrea Pinna, Michele Marchesi +1
cs.SEarXiv:1702.05146v12017Large-scale neural recordings call for new insights to link brain and behavior
Anne E. Urai, Brent Doiron, Andrew M. Leifer +1
q-bio.NCarXiv:2103.14662v22021AdaCoF: Adaptive Collaboration of Flows for Video Frame Interpolation
Hyeongmin Lee, Taeoh Kim, Tae-young Chung +3
cs.CVarXiv:1907.10244v32019Shallow-UWnet : Compressed Model for Underwater Image Enhancement
Ankita Naik, Apurva Swarnakar, Kartik Mittal
cs.CVeess.IVarXiv:2101.02073v12021Interactive Policy Learning through Confidence-Based Autonomy
Sonia Chernova, Manuela Veloso
cs.AIarXiv:1401.3439v12014Modeling The Intensity Function Of Point Process Via Recurrent Neural Networks
Shuai Xiao, Junchi Yan, Stephen M. Chu +2
cs.LGcs.AIstat.MLarXiv:1705.08982v12017A Dataset of Peer Reviews (PeerRead): Collection, Insights and NLP Applications
Dongyeop Kang, Waleed Ammar, Bhavana Dalvi +4
cs.CLcs.AIarXiv:1804.09635v12018Memorization Without Overfitting: Analyzing the Training Dynamics of Large Language Models
Kushal Tirumala, Aram H. Markosyan, Luke Zettlemoyer +1
cs.CLarXiv:2205.10770v22022MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image Segmentation
Abhishek Srivastava, Debesh Jha, Sukalpa Chanda +6
eess.IVcs.CVarXiv:2105.07451v22021Analysis of a continuous-time model of structural balance
Seth A. Marvel, Jon M. Kleinberg, Robert D. Kleinberg +1
nlin.AOnlin.SIarXiv:1010.1814v12010Exploiting Multi-domain Visual Information for Fake News Detection
Peng Qi, Juan Cao, Tianyun Yang +2
cs.MMcs.IRcs.SIarXiv:1908.04472v12019The Microsoft 2016 Conversational Speech Recognition System
W. Xiong, J. Droppo, X. Huang +5
cs.CLeess.ASarXiv:1609.03528v22016Fine-tuning Language Models for Factuality
Katherine Tian, Eric Mitchell, Huaxiu Yao +2
cs.CLcs.AIcs.LGarXiv:2311.08401v12023Polarized Self-Attention: Towards High-quality Pixel-wise Regression
Huajun Liu, Fuqiang Liu, Xinyi Fan +1
cs.CVarXiv:2107.00782v22021Stepwise Feature Fusion: Local Guides Global
Jinfeng Wang, Qiming Huang, Feilong Tang +3
eess.IVcs.CVarXiv:2203.03635v32022TIDE: A General Toolbox for Identifying Object Detection Errors
Daniel Bolya, Sean Foley, James Hays +1
cs.CVarXiv:2008.08115v22020PCRNet: Point Cloud Registration Network using PointNet Encoding
Vinit Sarode, Xueqian Li, Hunter Goforth +4
cs.CVarXiv:1908.07906v22019Monash Time Series Forecasting Archive
Rakshitha Godahewa, Christoph Bergmeir, Geoffrey I. Webb +2
cs.LGstat.MLarXiv:2105.06643v12021FinanceBench: A New Benchmark for Financial Question Answering
Pranab Islam, Anand Kannappan, Douwe Kiela +3
cs.CLcs.AIcs.CEarXiv:2311.11944v12023CMOS-based cryogenic control of silicon quantum circuits
Xiao Xue, Bishnu Patra, Jeroen P. G. van Dijk +21
quant-phcond-mat.mes-hallphysics.app-pharXiv:2009.14185v12020Eigenvalues of the Hessian in Deep Learning: Singularity and Beyond
Levent Sagun, Leon Bottou, Yann LeCun
cs.LGarXiv:1611.07476v22016Predicting the Computational Cost of Deep Learning Models
Daniel Justus, John Brennan, Stephen Bonner +1
cs.LGcs.AIstat.MLarXiv:1811.11880v12018Early Prediction of Movie Box Office Success based on Wikipedia Activity Big Data
Márton Mestyán, Taha Yasseri, János Kertész
physics.soc-phcs.CYcs.SIarXiv:1211.0970v32012Causality Inspired Representation Learning for Domain Generalization
Fangrui Lv, Jian Liang, Shuang Li +4
cs.LGcs.CVarXiv:2203.14237v12022Model-Free Episodic Control
Charles Blundell, Benigno Uria, Alexander Pritzel +6
stat.MLcs.LGq-bio.NCarXiv:1606.04460v12016Video Understanding with Large Language Models: A Survey
Yolo Y. Tang, Jing Bi, Siting Xu +17
cs.CVcs.CLarXiv:2312.17432v82023Does Object Recognition Work for Everyone?
Terrance DeVries, Ishan Misra, Changhan Wang +1
cs.CVcs.LGarXiv:1906.02659v22019What can Large Language Models do in chemistry? A comprehensive benchmark on eight tasks
Taicheng Guo, Kehan Guo, Bozhao Nan +5
cs.CLcs.AIarXiv:2305.18365v32023DDoS Attacks in Cloud Computing: Issues, Taxonomy, and Future Directions
Gaurav Somani, Manoj Singh Gaur, Dheeraj Sanghi +2
cs.CRarXiv:1512.08187v22015