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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39,121 to 39,180 of 61,350

The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities
Joel Lehman, Jeff Clune, Dusan Misevic +50
cs.NEarXiv:1803.03453v42018
Weisfeiler and Lehman Go Cellular: CW Networks
Cristian Bodnar, Fabrizio Frasca, Nina Otter +4
cs.LGstat.MLarXiv:2106.12575v32021
momentuHMM: R package for generalized hidden Markov models of animal movement
Brett T. McClintock, Theo Michelot
q-bio.QMstat.AParXiv:1710.03786v22017
Cross-Lingual Transfer Learning for Multilingual Task Oriented Dialog
Sebastian Schuster, Sonal Gupta, Rushin Shah +1
cs.CLarXiv:1810.13327v22018
A Review on Deep Learning Techniques for Video Prediction
Sergiu Oprea, Pablo Martinez-Gonzalez, Alberto Garcia-Garcia +4
cs.CVcs.LGeess.IVarXiv:2004.05214v22020
Doubly Aligned Incomplete Multi-view Clustering
Menglei Hu, Songcan Chen
cs.LGstat.MLarXiv:1903.02785v12019
A New Generation of Perspective API: Efficient Multilingual Character-level Transformers
Alyssa Lees, Vinh Q. Tran, Yi Tay +4
cs.CLcs.AIcs.CYarXiv:2202.11176v12022
SPAN: Spatial Pyramid Attention Network forImage Manipulation Localization
Xuefeng Hu, Zhihan Zhang, Zhenye Jiang +3
cs.CVarXiv:2009.00726v22020
On some new properties of fractional derivatives with Mittag-Leffler kernel
Dumitru Baleanu, Arran Fernandez
math.CAarXiv:1712.01762v12017
Smart Anomaly Detection in Sensor Systems: A Multi-Perspective Review
L. Erhan, M. Ndubuaku, M. Di Mauro +5
cs.LGarXiv:2010.14946v22020
CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization
Zijie J. Wang, Robert Turko, Omar Shaikh +5
cs.HCcs.AIcs.CVarXiv:2004.15004v32020
Human-Like Decision Making for Autonomous Driving: A Noncooperative Game Theoretic Approach
Peng Hang, Chen Lv, Yang Xing +2
cs.ROeess.SYarXiv:2005.11064v22020
Multispectral and Hyperspectral Image Fusion Using a 3-D-Convolutional Neural Network
Frosti Palsson, Johannes R. Sveinsson, Magnus O. Ulfarsson
cs.CVstat.MLarXiv:1706.05249v12017
Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge
Hugo J. Kuijf, J. Matthijs Biesbroek, Jeroen de Bresser +41
cs.CVarXiv:1904.00682v12019
Scene Graph Generation with External Knowledge and Image Reconstruction
Jiuxiang Gu, Handong Zhao, Zhe Lin +3
cs.CVarXiv:1904.00560v12019
Convolutional Neural Network Architectures for Signals Supported on Graphs
Fernando Gama, Antonio G. Marques, Geert Leus +1
eess.SPcs.AIcs.LGarXiv:1805.00165v22018
bridgesampling: An R Package for Estimating Normalizing Constants
Quentin F. Gronau, Henrik Singmann, Eric-Jan Wagenmakers
stat.COarXiv:1710.08162v32017
Hierarchical information clustering by means of topologically embedded graphs
Won-Min Song, T. Di Matteo, Tomaso Aste
physics.data-ancs.DSphysics.bio-pharXiv:1110.4477v12011
Weakly-Supervised Semantic Segmentation by Iteratively Mining Common Object Features
Xiang Wang, Shaodi You, Xi Li +1
cs.CVarXiv:1806.04659v12018
Portfolio Allocation for Bayesian Optimization
Eric Brochu, Matthew W. Hoffman, Nando de Freitas
cs.LGarXiv:1009.5419v22010
The 2018 Signal Separation Evaluation Campaign
Fabian-Robert Stöter, Antoine Liutkus, Nobutaka Ito
eess.AScs.SDarXiv:1804.06267v32018
Learning Local Image Descriptors with Deep Siamese and Triplet Convolutional Networks by Minimising Global Loss Functions
Vijay Kumar B G, Gustavo Carneiro, Ian Reid
cs.CVarXiv:1512.09272v22015
Demystifying Prompts in Language Models via Perplexity Estimation
Hila Gonen, Srini Iyer, Terra Blevins +2
cs.CLarXiv:2212.04037v22022
Bayesian Optimization for Likelihood-Free Inference of Simulator-Based Statistical Models
Michael U. Gutmann, Jukka Corander
stat.MLstat.COstat.MEarXiv:1501.03291v32015
Meta-Transfer Learning for Zero-Shot Super-Resolution
Jae Woong Soh, Sunwoo Cho, Nam Ik Cho
cs.CVarXiv:2002.12213v12020
Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution
Yong Guo, Jian Chen, Jingdong Wang +5
cs.CVarXiv:2003.07018v42020
MM-Diffusion: Learning Multi-Modal Diffusion Models for Joint Audio and Video Generation
Ludan Ruan, Yiyang Ma, Huan Yang +6
cs.CVarXiv:2212.09478v22022
Model Fusion via Optimal Transport
Sidak Pal Singh, Martin Jaggi
cs.LGstat.MLarXiv:1910.05653v62019
Subgraph Matching Kernels for Attributed Graphs
Nils Kriege, Petra Mutzel
cs.LGstat.MLarXiv:1206.6483v12012
Visformer: The Vision-friendly Transformer
Zhengsu Chen, Lingxi Xie, Jianwei Niu +3
cs.CVarXiv:2104.12533v52021
Noisier2Noise: Learning to Denoise from Unpaired Noisy Data
Nick Moran, Dan Schmidt, Yu Zhong +1
eess.IVcs.CVarXiv:1910.11908v12019
Understanding the Difficulty of Training Transformers
Liyuan Liu, Xiaodong Liu, Jianfeng Gao +2
cs.LGcs.CLstat.MLarXiv:2004.08249v32020
Vandal: A Scalable Security Analysis Framework for Smart Contracts
Lexi Brent, Anton Jurisevic, Michael Kong +5
cs.PLarXiv:1809.03981v12018
Boosting the Accuracy of Differentially-Private Histograms Through Consistency
Michael Hay, Vibhor Rastogi, Gerome Miklau +1
cs.DBcs.CRarXiv:0904.0942v52009
Mem2Seq: Effectively Incorporating Knowledge Bases into End-to-End Task-Oriented Dialog Systems
Andrea Madotto, Chien-Sheng Wu, Pascale Fung
cs.CLarXiv:1804.08217v32018
Federated Adversarial Domain Adaptation
Xingchao Peng, Zijun Huang, Yizhe Zhu +1
cs.CVcs.LGarXiv:1911.02054v32019
Approximation of high-dimensional parametric PDEs
Albert Cohen, Ronald Devore
math.APmath.NAarXiv:1502.06797v22015
On Tensors, Sparsity, and Nonnegative Factorizations
Eric C. Chi, Tamara G. Kolda
math.NAarXiv:1112.2414v32011
DARTS+: Improved Differentiable Architecture Search with Early Stopping
Hanwen Liang, Shifeng Zhang, Jiacheng Sun +4
cs.CVcs.LGarXiv:1909.06035v22019
Superhuman Accuracy on the SNEMI3D Connectomics Challenge
Kisuk Lee, Jonathan Zung, Peter Li +2
cs.CVarXiv:1706.00120v12017
Better Diffusion Models Further Improve Adversarial Training
Zekai Wang, Tianyu Pang, Chao Du +3
cs.CVcs.AIcs.CRarXiv:2302.04638v22023
ST-Adapter: Parameter-Efficient Image-to-Video Transfer Learning
Junting Pan, Ziyi Lin, Xiatian Zhu +2
cs.CVarXiv:2206.13559v32022
Evaluating Deep Neural Networks Trained on Clinical Images in Dermatology with the Fitzpatrick 17k Dataset
Matthew Groh, Caleb Harris, Luis Soenksen +5
cs.CVarXiv:2104.09957v12021
Deep Learning Human Mind for Automated Visual Classification
Concetto Spampinato, Simone Palazzo, Isaak Kavasidis +3
cs.CVarXiv:1609.00344v22016
Memory Enhanced Global-Local Aggregation for Video Object Detection
Yihong Chen, Yue Cao, Han Hu +1
cs.CVcs.LGeess.IVarXiv:2003.12063v12020
High-Level Penetration of Renewable Energy with Grid: Challenges and Opportunities
Md Shafiul Alam, Fahad Saleh Al-Ismail, M. A. Abido +1
eess.SYarXiv:2006.04638v12020
ClearGrasp: 3D Shape Estimation of Transparent Objects for Manipulation
Shreeyak S. Sajjan, Matthew Moore, Mike Pan +4
cs.CVcs.ROeess.IVarXiv:1910.02550v22019
Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems
Han Gao, Matthew J. Zahr, Jian-Xun Wang
cs.CEarXiv:2107.12146v12021
Privacy and Data Protection by Design - from policy to engineering
George Danezis, Josep Domingo-Ferrer, Marit Hansen +4
cs.CRarXiv:1501.03726v22015
Show Your Work: Improved Reporting of Experimental Results
Jesse Dodge, Suchin Gururangan, Dallas Card +2
cs.LGcs.CLstat.MEarXiv:1909.03004v12019
Fixing Data Augmentation to Improve Adversarial Robustness
Sylvestre-Alvise Rebuffi, Sven Gowal, Dan A. Calian +3
cs.CVcs.LGarXiv:2103.01946v22021
Non-orthogonal Multiple Access in Large-Scale Underlay Cognitive Radio Networks
Yuanwei Liu, Zhiguo Ding, Maged Elkashlan +1
cs.ITarXiv:1601.03613v12016
MultiHop-RAG: Benchmarking Retrieval-Augmented Generation for Multi-Hop Queries
Yixuan Tang, Yi Yang
cs.CLarXiv:2401.15391v12024
Real-Time Bidding by Reinforcement Learning in Display Advertising
Han Cai, Kan Ren, Weinan Zhang +4
cs.LGcs.AIcs.GTarXiv:1701.02490v22017
Deep Voice 3: Scaling Text-to-Speech with Convolutional Sequence Learning
Wei Ping, Kainan Peng, Andrew Gibiansky +5
cs.SDcs.AIcs.CLarXiv:1710.07654v32017
ElasticFace: Elastic Margin Loss for Deep Face Recognition
Fadi Boutros, Naser Damer, Florian Kirchbuchner +1
cs.CVarXiv:2109.09416v42021
Learning to Decompose and Disentangle Representations for Video Prediction
Jun-Ting Hsieh, Bingbin Liu, De-An Huang +2
cs.LGcs.CVstat.MLarXiv:1806.04166v22018
A unified view of entropy-regularized Markov decision processes
Gergely Neu, Anders Jonsson, Vicenç Gómez
cs.LGcs.AIstat.MLarXiv:1705.07798v12017
DLFuzz: Differential Fuzzing Testing of Deep Learning Systems
Jianmin Guo, Yu Jiang, Yue Zhao +2
cs.SEarXiv:1808.09413v12018
Spectrum and Energy Efficient Beamspace MIMO-NOMA for Millimeter-Wave Communications Using Lens Antenna Array
Bichai Wang, Linglong Dai, Zhaocheng Wang +2
cs.ITarXiv:1707.06740v12017

Every paper with a summary

The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities

Weisfeiler and Lehman Go Cellular: CW Networks

momentuHMM: R package for generalized hidden Markov models of animal movement

Cross-Lingual Transfer Learning for Multilingual Task Oriented Dialog

A Review on Deep Learning Techniques for Video Prediction

Doubly Aligned Incomplete Multi-view Clustering

A New Generation of Perspective API: Efficient Multilingual Character-level Transformers

SPAN: Spatial Pyramid Attention Network forImage Manipulation Localization

On some new properties of fractional derivatives with Mittag-Leffler kernel

Smart Anomaly Detection in Sensor Systems: A Multi-Perspective Review

CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization

Human-Like Decision Making for Autonomous Driving: A Noncooperative Game Theoretic Approach

Multispectral and Hyperspectral Image Fusion Using a 3-D-Convolutional Neural Network

Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge

Scene Graph Generation with External Knowledge and Image Reconstruction

Convolutional Neural Network Architectures for Signals Supported on Graphs

bridgesampling: An R Package for Estimating Normalizing Constants

Hierarchical information clustering by means of topologically embedded graphs

Weakly-Supervised Semantic Segmentation by Iteratively Mining Common Object Features

Portfolio Allocation for Bayesian Optimization

The 2018 Signal Separation Evaluation Campaign

Learning Local Image Descriptors with Deep Siamese and Triplet Convolutional Networks by Minimising Global Loss Functions

Demystifying Prompts in Language Models via Perplexity Estimation

Bayesian Optimization for Likelihood-Free Inference of Simulator-Based Statistical Models

Meta-Transfer Learning for Zero-Shot Super-Resolution

Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution

MM-Diffusion: Learning Multi-Modal Diffusion Models for Joint Audio and Video Generation

Model Fusion via Optimal Transport

Subgraph Matching Kernels for Attributed Graphs

Visformer: The Vision-friendly Transformer

Noisier2Noise: Learning to Denoise from Unpaired Noisy Data

Understanding the Difficulty of Training Transformers

Vandal: A Scalable Security Analysis Framework for Smart Contracts

Boosting the Accuracy of Differentially-Private Histograms Through Consistency

Mem2Seq: Effectively Incorporating Knowledge Bases into End-to-End Task-Oriented Dialog Systems

Federated Adversarial Domain Adaptation

Approximation of high-dimensional parametric PDEs

On Tensors, Sparsity, and Nonnegative Factorizations

DARTS+: Improved Differentiable Architecture Search with Early Stopping

Superhuman Accuracy on the SNEMI3D Connectomics Challenge

Better Diffusion Models Further Improve Adversarial Training

ST-Adapter: Parameter-Efficient Image-to-Video Transfer Learning

Evaluating Deep Neural Networks Trained on Clinical Images in Dermatology with the Fitzpatrick 17k Dataset

Deep Learning Human Mind for Automated Visual Classification

Memory Enhanced Global-Local Aggregation for Video Object Detection

High-Level Penetration of Renewable Energy with Grid: Challenges and Opportunities

ClearGrasp: 3D Shape Estimation of Transparent Objects for Manipulation

Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems

Privacy and Data Protection by Design - from policy to engineering

Show Your Work: Improved Reporting of Experimental Results

Fixing Data Augmentation to Improve Adversarial Robustness

Non-orthogonal Multiple Access in Large-Scale Underlay Cognitive Radio Networks

MultiHop-RAG: Benchmarking Retrieval-Augmented Generation for Multi-Hop Queries

Real-Time Bidding by Reinforcement Learning in Display Advertising

Deep Voice 3: Scaling Text-to-Speech with Convolutional Sequence Learning

ElasticFace: Elastic Margin Loss for Deep Face Recognition

Learning to Decompose and Disentangle Representations for Video Prediction

A unified view of entropy-regularized Markov decision processes

DLFuzz: Differential Fuzzing Testing of Deep Learning Systems

Spectrum and Energy Efficient Beamspace MIMO-NOMA for Millimeter-Wave Communications Using Lens Antenna Array