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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40,801 to 40,860 of 61,308

Parallelizing Linear Transformers with the Delta Rule over Sequence Length
Songlin Yang, Bailin Wang, Yu Zhang +2
cs.LGcs.CLarXiv:2406.06484v62024
BERT for Coreference Resolution: Baselines and Analysis
Mandar Joshi, Omer Levy, Daniel S. Weld +1
cs.CLarXiv:1908.09091v42019
Rényi Differential Privacy of the Sampled Gaussian Mechanism
Ilya Mironov, Kunal Talwar, Li Zhang
cs.LGcs.CRstat.MLarXiv:1908.10530v12019
Gait Recognition via Effective Global-Local Feature Representation and Local Temporal Aggregation
Beibei Lin, Shunli Zhang, Xin Yu
cs.CVarXiv:2011.01461v22020
Federated Learning for 6G: Applications, Challenges, and Opportunities
Zhaohui Yang, Mingzhe Chen, Kai-Kit Wong +2
cs.ITarXiv:2101.01338v12021
Space-Time Correspondence as a Contrastive Random Walk
Allan Jabri, Andrew Owens, Alexei A. Efros
cs.CVcs.LGeess.IVarXiv:2006.14613v22020
In-Situ 3D Nano-Printing of Freeform Coupling Elements for Hybrid Photonic Integration
P. -I. Dietrich, M. Blaicher, I. Reuter +9
physics.app-phphysics.opticsarXiv:1802.00051v12018
Cliques and Cavities in the Human Connectome
Ann Sizemore, Chad Giusti, Ari Kahn +2
q-bio.NCmath.ATmath.COarXiv:1608.03520v22016
COVID-19 Public Sentiment Insights and Machine Learning for Tweets Classification
Jim Samuel, G. G. Md. Nawaz Ali, Md. Mokhlesur Rahman +2
cs.IRcs.SIarXiv:2005.10898v12020
Fully Convolutional Multi-scale Residual DenseNets for Cardiac Segmentation and Automated Cardiac Diagnosis using Ensemble of Classifiers
Mahendra Khened, Varghese Alex Kollerathu, Ganapathy Krishnamurthi
cs.CVarXiv:1801.05173v12018
Intelligence and Learning in O-RAN for Data-driven NextG Cellular Networks
Leonardo Bonati, Salvatore D'Oro, Michele Polese +2
cs.NIcs.LGarXiv:2012.01263v22020
Designing Creative AI Partners with COFI: A Framework for Modeling Interaction in Human-AI Co-Creative Systems
Jeba Rezwana, Mary Lou Maher
cs.HCcs.AIarXiv:2204.07666v12022
REMIND Your Neural Network to Prevent Catastrophic Forgetting
Tyler L. Hayes, Kushal Kafle, Robik Shrestha +2
cs.LGcs.CVcs.NEarXiv:1910.02509v32019
A Survey of Reinforcement Learning from Human Feedback
Timo Kaufmann, Paul Weng, Viktor Bengs +1
cs.LGarXiv:2312.14925v32023
Learning Tree-based Deep Model for Recommender Systems
Han Zhu, Xiang Li, Pengye Zhang +4
stat.MLcs.IRcs.LGarXiv:1801.02294v52018
Exploring Object Relation in Mean Teacher for Cross-Domain Detection
Qi Cai, Yingwei Pan, Chong-Wah Ngo +3
cs.CVarXiv:1904.11245v22019
A Survey on Multi-View Clustering
Guoqing Chao, Shiliang Sun, Jinbo Bi
cs.LGstat.MLarXiv:1712.06246v22017
Sample Complexity of Sinkhorn divergences
Aude Genevay, Lénaic Chizat, Francis Bach +2
math.STarXiv:1810.02733v22018
Listening to Chaotic Whispers: A Deep Learning Framework for News-oriented Stock Trend Prediction
Ziniu Hu, Weiqing Liu, Jiang Bian +2
cs.SIcs.LGq-fin.STarXiv:1712.02136v32017
Unrolling SGD: Understanding Factors Influencing Machine Unlearning
Anvith Thudi, Gabriel Deza, Varun Chandrasekaran +1
cs.LGcs.CRarXiv:2109.13398v22021
Contrastive Learning of Structured World Models
Thomas Kipf, Elise van der Pol, Max Welling
stat.MLcs.AIcs.LGarXiv:1911.12247v22019
Conditional BERT Contextual Augmentation
Xing Wu, Shangwen Lv, Liangjun Zang +2
cs.CLcs.AIcs.LGarXiv:1812.06705v12018
Dynamic GCN: Context-enriched Topology Learning for Skeleton-based Action Recognition
Fanfan Ye, Shiliang Pu, Qiaoyong Zhong +3
cs.CVarXiv:2007.14690v12020
Truncated Power Method for Sparse Eigenvalue Problems
Xiao-Tong Yuan, Tong Zhang
stat.MLcs.AIarXiv:1112.2679v12011
Pooling Methods in Deep Neural Networks, a Review
Hossein Gholamalinezhad, Hossein Khosravi
cs.CVcs.LGarXiv:2009.07485v12020
Flow over an espresso cup: Inferring 3D velocity and pressure fields from tomographic background oriented schlieren videos via physics-informed neural networks
Shengze Cai, Zhicheng Wang, Frederik Fuest +3
physics.flu-dynarXiv:2103.02807v22021
Optimal Resource Allocation in Full-Duplex Wireless-Powered Communication Network
Hyungsik Ju, Rui Zhang
cs.ITarXiv:1403.2580v32014
Personalized Federated Learning for Intelligent IoT Applications: A Cloud-Edge based Framework
Qiong Wu, Kaiwen He, Xu Chen
cs.NIcs.DCcs.LGarXiv:2002.10671v32020
Adaptive Power System Emergency Control using Deep Reinforcement Learning
Qiuhua Huang, Renke Huang, Weituo Hao +3
cs.LGeess.SYstat.MLarXiv:1903.03712v22019
Efficient and Accurate MRI Super-Resolution using a Generative Adversarial Network and 3D Multi-Level Densely Connected Network
Yuhua Chen, Feng Shi, Anthony G. Christodoulou +3
cs.CVeess.IVarXiv:1803.01417v32018
RouteNet: Leveraging Graph Neural Networks for network modeling and optimization in SDN
Krzysztof Rusek, José Suárez-Varela, Paul Almasan +2
cs.NIcs.AIcs.LGarXiv:1910.01508v22019
FogBus: A Blockchain-based Lightweight Framework for Edge and Fog Computing
Shreshth Tuli, Redowan Mahmud, Shikhar Tuli +1
cs.DCarXiv:1811.11978v12018
Propagation Path Loss Models for 5G Urban Micro- and Macro-Cellular Scenarios
Shu Sun, Theodore S. Rappaport, Sundeep Rangan +7
cs.ITarXiv:1511.07311v32015
GeniePath: Graph Neural Networks with Adaptive Receptive Paths
Ziqi Liu, Chaochao Chen, Longfei Li +4
cs.LGarXiv:1802.00910v32018
Experimental Support for a Categorical Compositional Distributional Model of Meaning
Edward Grefenstette, Mehrnoosh Sadrzadeh
cs.CLmath.CTarXiv:1106.4058v12011
Addressing Two Problems in Deep Knowledge Tracing via Prediction-Consistent Regularization
Chun-Kit Yeung, Dit-Yan Yeung
cs.AIarXiv:1806.02180v12018
Variational Physics-Informed Neural Networks For Solving Partial Differential Equations
E. Kharazmi, Z. Zhang, G. E. Karniadakis
cs.NEcs.LGmath.NAarXiv:1912.00873v12019
APFEL: A PDF Evolution Library with QED corrections
Valerio Bertone, Stefano Carrazza, Juan Rojo
hep-phhep-exnucl-exarXiv:1310.1394v32013
Taking a Deeper Look at Pedestrians
Jan Hosang, Mohamed Omran, Rodrigo Benenson +1
cs.CVarXiv:1501.05790v12015
Multimodal Convolutional Neural Networks for Matching Image and Sentence
Lin Ma, Zhengdong Lu, Lifeng Shang +1
cs.CVcs.CLcs.NEarXiv:1504.06063v52015
Human-Centered Explainable AI (XAI): From Algorithms to User Experiences
Q. Vera Liao, Kush R. Varshney
cs.AIcs.HCarXiv:2110.10790v52021
Deep Learning for Detecting Cyberbullying Across Multiple Social Media Platforms
Sweta Agrawal, Amit Awekar
cs.IRcs.CLcs.SIarXiv:1801.06482v12018
Graph Neural Networks in Particle Physics
Jonathan Shlomi, Peter Battaglia, Jean-Roch Vlimant
hep-exhep-pharXiv:2007.13681v22020
Stronger, Faster and More Explainable: A Graph Convolutional Baseline for Skeleton-based Action Recognition
Yi-Fan Song, Zhang Zhang, Caifeng Shan +1
cs.CVarXiv:2010.09978v12020
GRAD-MATCH: Gradient Matching based Data Subset Selection for Efficient Deep Model Training
Krishnateja Killamsetty, Durga Sivasubramanian, Ganesh Ramakrishnan +2
cs.LGarXiv:2103.00123v22021
Nearly Optimal Sparse Fourier Transform
Haitham Hassanieh, Piotr Indyk, Dina Katabi +1
cs.DSarXiv:1201.2501v22012
Magic State Distillation: Not as Costly as You Think
Daniel Litinski
quant-pharXiv:1905.06903v32019
DAPPLE: A Pipelined Data Parallel Approach for Training Large Models
Shiqing Fan, Yi Rong, Chen Meng +10
cs.DCarXiv:2007.01045v12020
ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution
Haoran Ye, Jiarui Wang, Zhiguang Cao +5
cs.NEcs.AIarXiv:2402.01145v32024
SnowflakeNet: Point Cloud Completion by Snowflake Point Deconvolution with Skip-Transformer
Peng Xiang, Xin Wen, Yu-Shen Liu +4
cs.CVarXiv:2108.04444v22021
Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text
Abhimanyu Hans, Avi Schwarzschild, Valeriia Cherepanova +5
cs.CLcs.AIcs.LGarXiv:2401.12070v32024
Hidden Killer: Invisible Textual Backdoor Attacks with Syntactic Trigger
Fanchao Qi, Mukai Li, Yangyi Chen +4
cs.CLcs.CRarXiv:2105.12400v22021
A Survey: Deep Learning for Hyperspectral Image Classification with Few Labeled Samples
Sen Jia, Shuguo Jiang, Zhijie Lin +3
cs.CVcs.AIeess.IVarXiv:2112.01800v12021
Explainability in Deep Reinforcement Learning
Alexandre Heuillet, Fabien Couthouis, Natalia Díaz-Rodríguez
cs.AIarXiv:2008.06693v42020
The Road to 6G: Ten Physical Layer Challenges for Communications Engineers
Michail Matthaiou, Okan Yurduseven, Hien Quoc Ngo +3
eess.SPcs.ITarXiv:2004.07130v22020
Blockchain for the Internet of Vehicles towards Intelligent Transportation Systems: A Survey
Muhammad Baqer Mollah, Jun Zhao, Dusit Niyato +5
cs.CRcs.NIcs.SIarXiv:2007.06022v22020
Building Instance Classification Using Street View Images
Jian Kang, Marco Körner, Yuanyuan Wang +2
cs.CVeess.IVarXiv:1802.09026v12018
NaturalSpeech: End-to-End Text to Speech Synthesis with Human-Level Quality
Xu Tan, Jiawei Chen, Haohe Liu +11
eess.AScs.AIcs.CLarXiv:2205.04421v22022
An Exploratory Study of COVID-19 Misinformation on Twitter
Gautam Kishore Shahi, Anne Dirkson, Tim A. Majchrzak
cs.SIcs.CYarXiv:2005.05710v22020
Analyzing the Digital Traces of Political Manipulation: The 2016 Russian Interference Twitter Campaign
Adam Badawy, Emilio Ferrara, Kristina Lerman
cs.SIcs.CYarXiv:1802.04291v12018

Every paper with a summary

Parallelizing Linear Transformers with the Delta Rule over Sequence Length

BERT for Coreference Resolution: Baselines and Analysis

Rényi Differential Privacy of the Sampled Gaussian Mechanism

Gait Recognition via Effective Global-Local Feature Representation and Local Temporal Aggregation

Federated Learning for 6G: Applications, Challenges, and Opportunities

Space-Time Correspondence as a Contrastive Random Walk

In-Situ 3D Nano-Printing of Freeform Coupling Elements for Hybrid Photonic Integration

Cliques and Cavities in the Human Connectome

COVID-19 Public Sentiment Insights and Machine Learning for Tweets Classification

Fully Convolutional Multi-scale Residual DenseNets for Cardiac Segmentation and Automated Cardiac Diagnosis using Ensemble of Classifiers

Intelligence and Learning in O-RAN for Data-driven NextG Cellular Networks

Designing Creative AI Partners with COFI: A Framework for Modeling Interaction in Human-AI Co-Creative Systems

REMIND Your Neural Network to Prevent Catastrophic Forgetting

A Survey of Reinforcement Learning from Human Feedback

Learning Tree-based Deep Model for Recommender Systems

Exploring Object Relation in Mean Teacher for Cross-Domain Detection

A Survey on Multi-View Clustering

Sample Complexity of Sinkhorn divergences

Listening to Chaotic Whispers: A Deep Learning Framework for News-oriented Stock Trend Prediction

Unrolling SGD: Understanding Factors Influencing Machine Unlearning

Contrastive Learning of Structured World Models

Conditional BERT Contextual Augmentation

Dynamic GCN: Context-enriched Topology Learning for Skeleton-based Action Recognition

Truncated Power Method for Sparse Eigenvalue Problems

Pooling Methods in Deep Neural Networks, a Review

Flow over an espresso cup: Inferring 3D velocity and pressure fields from tomographic background oriented schlieren videos via physics-informed neural networks

Optimal Resource Allocation in Full-Duplex Wireless-Powered Communication Network

Personalized Federated Learning for Intelligent IoT Applications: A Cloud-Edge based Framework

Adaptive Power System Emergency Control using Deep Reinforcement Learning

Efficient and Accurate MRI Super-Resolution using a Generative Adversarial Network and 3D Multi-Level Densely Connected Network

RouteNet: Leveraging Graph Neural Networks for network modeling and optimization in SDN

FogBus: A Blockchain-based Lightweight Framework for Edge and Fog Computing

Propagation Path Loss Models for 5G Urban Micro- and Macro-Cellular Scenarios

GeniePath: Graph Neural Networks with Adaptive Receptive Paths

Experimental Support for a Categorical Compositional Distributional Model of Meaning

Addressing Two Problems in Deep Knowledge Tracing via Prediction-Consistent Regularization

Variational Physics-Informed Neural Networks For Solving Partial Differential Equations

APFEL: A PDF Evolution Library with QED corrections

Taking a Deeper Look at Pedestrians

Multimodal Convolutional Neural Networks for Matching Image and Sentence

Human-Centered Explainable AI (XAI): From Algorithms to User Experiences

Deep Learning for Detecting Cyberbullying Across Multiple Social Media Platforms

Graph Neural Networks in Particle Physics

Stronger, Faster and More Explainable: A Graph Convolutional Baseline for Skeleton-based Action Recognition

GRAD-MATCH: Gradient Matching based Data Subset Selection for Efficient Deep Model Training

Nearly Optimal Sparse Fourier Transform

Magic State Distillation: Not as Costly as You Think

DAPPLE: A Pipelined Data Parallel Approach for Training Large Models

ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution

SnowflakeNet: Point Cloud Completion by Snowflake Point Deconvolution with Skip-Transformer

Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text

Hidden Killer: Invisible Textual Backdoor Attacks with Syntactic Trigger

A Survey: Deep Learning for Hyperspectral Image Classification with Few Labeled Samples

Explainability in Deep Reinforcement Learning

The Road to 6G: Ten Physical Layer Challenges for Communications Engineers

Blockchain for the Internet of Vehicles towards Intelligent Transportation Systems: A Survey

Building Instance Classification Using Street View Images

NaturalSpeech: End-to-End Text to Speech Synthesis with Human-Level Quality

An Exploratory Study of COVID-19 Misinformation on Twitter

Analyzing the Digital Traces of Political Manipulation: The 2016 Russian Interference Twitter Campaign