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)
93,841 to 93,900 of 102,437
Learning to Continually Learn
Shawn Beaulieu, Lapo Frati, Thomas Miconi +4
cs.LGcs.CVcs.NEarXiv:2002.09571v22020A BERT-Based Transfer Learning Approach for Hate Speech Detection in Online Social Media
Marzieh Mozafari, Reza Farahbakhsh, Noel Crespi
cs.SIcs.CLcs.IRarXiv:1910.12574v12019Parallel WaveGAN: A fast waveform generation model based on generative adversarial networks with multi-resolution spectrogram
Ryuichi Yamamoto, Eunwoo Song, Jae-Min Kim
eess.AScs.LGcs.SDarXiv:1910.11480v22019Leveraging BERT for Extractive Text Summarization on Lectures
Derek Miller
cs.CLcs.LGcs.SDarXiv:1906.04165v12019Task-Oriented Dialog Systems that Consider Multiple Appropriate Responses under the Same Context
Yichi Zhang, Zhijian Ou, Zhou Yu
cs.CLcs.AIarXiv:1911.10484v22019K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters
Ruize Wang, Duyu Tang, Nan Duan +6
cs.CLcs.LGarXiv:2002.01808v52020The Architectural Implications of Facebook's DNN-based Personalized Recommendation
Udit Gupta, Carole-Jean Wu, Xiaodong Wang +12
cs.DCcs.LGarXiv:1906.03109v42019GTC: Guided Training of CTC Towards Efficient and Accurate Scene Text Recognition
Wenyang Hu, Xiaocong Cai, Jun Hou +2
cs.CVcs.LGeess.IVarXiv:2002.01276v12020DwNet: Dense warp-based network for pose-guided human video generation
Polina Zablotskaia, Aliaksandr Siarohin, Bo Zhao +1
cs.CVcs.LGarXiv:1910.09139v12019SemEval-2014 Task 9: Sentiment Analysis in Twitter
Sara Rosenthal, Preslav Nakov, Alan Ritter +1
cs.CLcs.IRcs.LGarXiv:1912.02990v12019Frequency Separation for Real-World Super-Resolution
Manuel Fritsche, Shuhang Gu, Radu Timofte
eess.IVcs.CVarXiv:1911.07850v12019Hybrid LiFi and WiFi Networks: A Survey
Xiping Wu, Mohammad Dehghani Soltani, Lai Zhou +2
cs.ITarXiv:2001.04840v12020Deep Flow-Guided Video Inpainting
Rui Xu, Xiaoxiao Li, Bolei Zhou +1
cs.CVarXiv:1905.02884v12019A Smart, Efficient, and Reliable Parking Surveillance System with Edge Artificial Intelligence on IoT Devices
Ruimin Ke, Yifan Zhuang, Ziyuan Pu +1
eess.SParXiv:2001.00269v22020Learning End-to-End Lossy Image Compression: A Benchmark
Yueyu Hu, Wenhan Yang, Zhan Ma +1
eess.IVcs.CVarXiv:2002.03711v42020Remote Photoplethysmograph Signal Measurement from Facial Videos Using Spatio-Temporal Networks
Zitong Yu, Xiaobai Li, Guoying Zhao
cs.CVarXiv:1905.02419v22019Review: deep learning on 3D point clouds
Saifullahi Aminu Bello, Shangshu Yu, Cheng Wang
cs.CVarXiv:2001.06280v12020Review of Visual Saliency Detection with Comprehensive Information
Runmin Cong, Jianjun Lei, Huazhu Fu +3
cs.CVarXiv:1803.03391v22018Machine Unlearning: Linear Filtration for Logit-based Classifiers
Thomas Baumhauer, Pascal Schöttle, Matthias Zeppelzauer
cs.LGstat.MLarXiv:2002.02730v22020KonIQ-10k: An ecologically valid database for deep learning of blind image quality assessment
Vlad Hosu, Hanhe Lin, Tamas Sziranyi +1
cs.CVcs.MMarXiv:1910.06180v22019The Role of User Profile for Fake News Detection
Kai Shu, Xinyi Zhou, Suhang Wang +2
cs.SIcs.IRarXiv:1904.13355v12019Efficient Pipeline for Camera Trap Image Review
Sara Beery, Dan Morris, Siyu Yang
cs.CVarXiv:1907.06772v12019WikiMatrix: Mining 135M Parallel Sentences in 1620 Language Pairs from Wikipedia
Holger Schwenk, Vishrav Chaudhary, Shuo Sun +2
cs.CLarXiv:1907.05791v22019Questioning the AI: Informing Design Practices for Explainable AI User Experiences
Q. Vera Liao, Daniel Gruen, Sarah Miller
cs.HCcs.AIcs.LGarXiv:2001.02478v32020TableNet: Deep Learning model for end-to-end Table detection and Tabular data extraction from Scanned Document Images
Shubham Paliwal, Vishwanath D, Rohit Rahul +2
cs.CVcs.LGeess.IVarXiv:2001.01469v12020Coreference Resolution as Query-based Span Prediction
Wei Wu, Fei Wang, Arianna Yuan +2
cs.CLarXiv:1911.01746v42019Generalization through Memorization: Nearest Neighbor Language Models
Urvashi Khandelwal, Omer Levy, Dan Jurafsky +2
cs.CLarXiv:1911.00172v22019Towards Causal VQA: Revealing and Reducing Spurious Correlations by Invariant and Covariant Semantic Editing
Vedika Agarwal, Rakshith Shetty, Mario Fritz
cs.CVcs.CLcs.LGarXiv:1912.07538v32019Mockingjay: Unsupervised Speech Representation Learning with Deep Bidirectional Transformer Encoders
Andy T. Liu, Shu-wen Yang, Po-Han Chi +2
eess.AScs.CLcs.LGarXiv:1910.12638v22019Graph Embedded Pose Clustering for Anomaly Detection
Amir Markovitz, Gilad Sharir, Itamar Friedman +2
cs.CVarXiv:1912.11850v22019Physically Interpretable Neural Networks for the Geosciences: Applications to Earth System Variability
Benjamin A. Toms, Elizabeth A. Barnes, Imme Ebert-Uphoff
physics.ao-phcs.AIphysics.data-anarXiv:1912.01752v22019Accelerating Deep Learning by Focusing on the Biggest Losers
Angela H. Jiang, Daniel L. -K. Wong, Giulio Zhou +8
cs.LGstat.MLarXiv:1910.00762v12019Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement
Chunle Guo, Chongyi Li, Jichang Guo +4
cs.CVarXiv:2001.06826v22020A scalable noisy speech dataset and online subjective test framework
Chandan K. A. Reddy, Ebrahim Beyrami, Jamie Pool +3
cs.SDcs.LGeess.ASarXiv:1909.08050v12019Tex2Shape: Detailed Full Human Body Geometry From a Single Image
Thiemo Alldieck, Gerard Pons-Moll, Christian Theobalt +1
cs.CVarXiv:1904.08645v22019Document Expansion by Query Prediction
Rodrigo Nogueira, Wei Yang, Jimmy Lin +1
cs.IRcs.LGarXiv:1904.08375v22019i-RevNet: Deep Invertible Networks
Jörn-Henrik Jacobsen, Arnold Smeulders, Edouard Oyallon
cs.LGcs.CVstat.MLarXiv:1802.07088v12018Classification and Clustering of Arguments with Contextualized Word Embeddings
Nils Reimers, Benjamin Schiller, Tilman Beck +3
cs.CLarXiv:1906.09821v12019Evolutionary dynamics with game transitions
Qi Su, Alex McAvoy, Long Wang +1
q-bio.PEarXiv:1905.10269v22019Learning to Reconstruct 3D Human Pose and Shape via Model-fitting in the Loop
Nikos Kolotouros, Georgios Pavlakos, Michael J. Black +1
cs.CVarXiv:1909.12828v12019Visualisation of Brain Statistics with R-packages ggseg and ggseg3d
Athanasia M. Mowinckel, Didac Vidal-Piñeiro
stat.OTarXiv:1912.08200v12019Holographic MIMO Surfaces for 6G Wireless Networks: Opportunities, Challenges, and Trends
Chongwen Huang, Sha Hu, George C. Alexandropoulos +5
cs.ITcs.LGarXiv:1911.12296v32019PLATO: Pre-trained Dialogue Generation Model with Discrete Latent Variable
Siqi Bao, Huang He, Fan Wang +2
cs.CLarXiv:1910.07931v32019Don't Judge an Object by Its Context: Learning to Overcome Contextual Bias
Krishna Kumar Singh, Dhruv Mahajan, Kristen Grauman +3
cs.CVcs.LGarXiv:2001.03152v22020Deep Drone Racing: From Simulation to Reality with Domain Randomization
Antonio Loquercio, Elia Kaufmann, René Ranftl +3
cs.ROarXiv:1905.09727v22019Video to Events: Recycling Video Datasets for Event Cameras
Daniel Gehrig, Mathias Gehrig, Javier Hidalgo-Carrió +1
cs.CVarXiv:1912.03095v22019Learning to Prove Theorems via Interacting with Proof Assistants
Kaiyu Yang, Jia Deng
cs.LOcs.AIcs.LGarXiv:1905.09381v12019Discover, Falsify, Revise: Auditing Input-Use Claims from Source Code to Predictive Contribution in Agent-Discovered Cell Models
Mengran Li, Bo Li, Chengyang Zhang +3
cs.LGq-bio.QMarXiv:2609.27234v12026TEMA: Evidence-Grounded Temporal Question Answering in Multi-Turn Multi-Audio Dialogs
Kaidi Yang, Hualei Wang, Zhaohui Wang +3
cs.SDarXiv:2609.30029v12026Cascade Cost Volume for High-Resolution Multi-View Stereo and Stereo Matching
Xiaodong Gu, Zhiwen Fan, Zuozhuo Dai +3
cs.CVarXiv:1912.06378v32019State Representation Learning for Control: An Overview
Timothée Lesort, Natalia Díaz-Rodríguez, Jean-François Goudou +1
cs.AIcs.LGstat.MLarXiv:1802.04181v22018ConPro: Contrast Projection Pretraining for Label-Efficient Vessel Segmentation in DSA Sequences
Xinge Guo, Yuanhao Wang, Liqi Shu +2
cs.CVarXiv:2609.30043v12026FACE: Feasible and Actionable Counterfactual Explanations
Rafael Poyiadzi, Kacper Sokol, Raul Santos-Rodriguez +2
cs.LGstat.MLarXiv:1909.09369v22019Multiscale modeling meets machine learning: What can we learn?
Grace C. Y. Peng, Mark Alber, Adrian Buganza Tepole +9
physics.bio-phphysics.comp-pharXiv:1911.11958v22019SEN12MS -- A Curated Dataset of Georeferenced Multi-Spectral Sentinel-1/2 Imagery for Deep Learning and Data Fusion
Michael Schmitt, Lloyd Haydn Hughes, Chunping Qiu +1
cs.CVarXiv:1906.07789v12019Typology of Risks of Generative Text-to-Image Models
Charlotte Bird, Eddie L. Ungless, Atoosa Kasirzadeh
cs.CYarXiv:2307.05543v12023Sparse Graph Attention Networks
Yang Ye, Shihao Ji
cs.LGstat.MLarXiv:1912.00552v22019A Step Toward Quantifying Independently Reproducible Machine Learning Research
Edward Raff
cs.LGcs.AIcs.DLarXiv:1909.06674v12019Region Attention Networks for Pose and Occlusion Robust Facial Expression Recognition
Kai Wang, Xiaojiang Peng, Jianfei Yang +2
cs.CVarXiv:1905.04075v22019Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment Approach
Wenpeng Yin, Jamaal Hay, Dan Roth
cs.CLarXiv:1909.00161v12019