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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41,041 to 41,100 of 61,335

Quant GANs: Deep Generation of Financial Time Series
Magnus Wiese, Robert Knobloch, Ralf Korn +1
q-fin.MFcs.LGq-fin.CParXiv:1907.06673v22019
Video Compression through Image Interpolation
Chao-Yuan Wu, Nayan Singhal, Philipp Krähenbühl
cs.CVarXiv:1804.06919v12018
Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision
Fredrik K. Gustafsson, Martin Danelljan, Thomas B. Schön
cs.LGcs.CVstat.MLarXiv:1906.01620v32019
Generative Adversarial Active Learning for Unsupervised Outlier Detection
Yezheng Liu, Zhe Li, Chong Zhou +4
cs.LGstat.MLarXiv:1809.10816v42018
Parametric UMAP embeddings for representation and semi-supervised learning
Tim Sainburg, Leland McInnes, Timothy Q Gentner
cs.LGcs.CGq-bio.QMarXiv:2009.12981v42020
The Vertica Analytic Database: C-Store 7 Years Later
Andrew Lamb, Matt Fuller, Ramakrishna Varadarajan +4
cs.DBarXiv:1208.4173v12012
Stochastic Gradient-Push for Strongly Convex Functions on Time-Varying Directed Graphs
Angelia Nedic, Alex Olshevsky
math.OCeess.SYarXiv:1406.2075v22014
Crowd Counting and Density Estimation by Trellis Encoder-Decoder Network
Xiaolong Jiang, Zehao Xiao, Baochang Zhang +4
cs.CVarXiv:1903.00853v22019
Contextual Bandit Algorithms with Supervised Learning Guarantees
Alina Beygelzimer, John Langford, Lihong Li +2
cs.LGarXiv:1002.4058v32010
A New Approach to Probabilistic Programming Inference
Frank Wood, Jan Willem van de Meent, Vikash Mansinghka
stat.MLcs.AIcs.PLarXiv:1507.00996v22015
Interpretable bilinear attention network with domain adaptation improves drug-target prediction
Peizhen Bai, Filip Miljković, Bino John +1
cs.LGq-bio.BMarXiv:2208.02194v22022
DiverseVul: A New Vulnerable Source Code Dataset for Deep Learning Based Vulnerability Detection
Yizheng Chen, Zhoujie Ding, Lamya Alowain +2
cs.CRcs.AIcs.LGarXiv:2304.00409v22023
Transfer Learning for Sequence Tagging with Hierarchical Recurrent Networks
Zhilin Yang, Ruslan Salakhutdinov, William W. Cohen
cs.CLcs.LGarXiv:1703.06345v12017
Machine-learning interatomic potentials for materials science
Y. Mishin
cond-mat.mtrl-sciarXiv:2102.06163v22021
HyGCN: A GCN Accelerator with Hybrid Architecture
Mingyu Yan, Lei Deng, Xing Hu +6
cs.DCarXiv:2001.02514v12020
A review of feature extraction and performance evaluation in epileptic seizure detection using EEG
Poomipat Boonyakitanont, Apiwat Lek-uthai, Krisnachai Chomtho +1
eess.SParXiv:1908.00492v12019
Collective response of human populations to large-scale emergencies
James P. Bagrow, Dashun Wang, Albert-László Barabási
physics.soc-phcs.SIphysics.data-anarXiv:1106.0560v12011
A comprehensive survey on point cloud registration
Xiaoshui Huang, Guofeng Mei, Jian Zhang +1
cs.CVarXiv:2103.02690v22021
Compact difference schemes for the modified anomalous fractional sub-diffusion equation and the fractional diffusion-wave equation
Zhibo Wang, Seakweng Vong
math.NAarXiv:1310.5298v22013
A comprehensive deep learning-based approach to reduced order modeling of nonlinear time-dependent parametrized PDEs
Stefania Fresca, Luca Dede, Andrea Manzoni
math.NAcs.LGarXiv:2001.04001v12020
Quantum-state preparation with universal gate decompositions
Martin Plesch, Časlav Brukner
quant-pharXiv:1003.5760v22010
Supermasks in Superposition
Mitchell Wortsman, Vivek Ramanujan, Rosanne Liu +4
cs.LGcs.AIstat.MLarXiv:2006.14769v32020
Power grids vulnerability: a complex network approach
S. Arianos, E. Bompard, A. Carbone +1
physics.soc-pharXiv:0810.5278v32008
Vulnerability Detection with Fine-grained Interpretations
Yi Li, Shaohua Wang, Tien N. Nguyen
cs.CRcs.SEarXiv:2106.10478v12021
Graph Information Bottleneck
Tailin Wu, Hongyu Ren, Pan Li +1
cs.LGstat.MLarXiv:2010.12811v12020
Summaries:한국어
End-to-end Lane Shape Prediction with Transformers
Ruijin Liu, Zejian Yuan, Tie Liu +1
cs.CVcs.AIarXiv:2011.04233v22020
SE(3) diffusion model with application to protein backbone generation
Jason Yim, Brian L. Trippe, Valentin De Bortoli +4
cs.LGq-bio.QMstat.MLarXiv:2302.02277v32023
DiffNet++: A Neural Influence and Interest Diffusion Network for Social Recommendation
Le Wu, Junwei Li, Peijie Sun +3
cs.SIcs.IRcs.LGarXiv:2002.00844v42020
SelfReg: Self-supervised Contrastive Regularization for Domain Generalization
Daehee Kim, Seunghyun Park, Jinkyu Kim +1
cs.CVcs.AIarXiv:2104.09841v12021
Summaries:한국어
DeSTSeg: Segmentation Guided Denoising Student-Teacher for Anomaly Detection
Xuan Zhang, Shiyu Li, Xi Li +3
cs.CVarXiv:2211.11317v22022
BABEL: Bodies, Action and Behavior with English Labels
Abhinanda R. Punnakkal, Arjun Chandrasekaran, Nikos Athanasiou +2
cs.CVcs.GRcs.LGarXiv:2106.09696v22021
Fast Image Processing with Fully-Convolutional Networks
Qifeng Chen, Jia Xu, Vladlen Koltun
cs.CVcs.GRcs.LGarXiv:1709.00643v12017
OminiControl: Minimal and Universal Control for Diffusion Transformer
Zhenxiong Tan, Songhua Liu, Xingyi Yang +2
cs.CVcs.AIcs.LGarXiv:2411.15098v62024
Learning Joint Spatial-Temporal Transformations for Video Inpainting
Yanhong Zeng, Jianlong Fu, Hongyang Chao
cs.CVarXiv:2007.10247v12020
Exploring the Encoding Layer and Loss Function in End-to-End Speaker and Language Recognition System
Weicheng Cai, Jinkun Chen, Ming Li
eess.AScs.LGcs.SDarXiv:1804.05160v12018
A tutorial on group effective connectivity analysis, part 1: first level analysis with DCM for fMRI
Peter Zeidman, Amirhossein Jafarian, Nadège Corbin +4
q-bio.QMq-bio.NCarXiv:1902.10597v12019
FIERY: Future Instance Prediction in Bird's-Eye View from Surround Monocular Cameras
Anthony Hu, Zak Murez, Nikhil Mohan +5
cs.CVcs.ROarXiv:2104.10490v32021
An Efficient Implementation of the Generalized Labeled Multi-Bernoulli Filter
Ba Ngu Vo, Ba Tuong Vo, Hung Gia Hoang
stat.COstat.AParXiv:1606.08350v22016
DNGaussian: Optimizing Sparse-View 3D Gaussian Radiance Fields with Global-Local Depth Normalization
Jiahe Li, Jiawei Zhang, Xiao Bai +4
cs.CVarXiv:2403.06912v32024
Does Audio Deepfake Detection Generalize?
Nicolas M. Müller, Pavel Czempin, Franziska Dieckmann +2
cs.SDcs.LGeess.ASarXiv:2203.16263v52022
Latent ODEs for Irregularly-Sampled Time Series
Yulia Rubanova, Ricky T. Q. Chen, David Duvenaud
cs.LGstat.MLarXiv:1907.03907v12019
COGS: A Compositional Generalization Challenge Based on Semantic Interpretation
Najoung Kim, Tal Linzen
cs.CLarXiv:2010.05465v12020
Understanding Dataset Difficulty with $\mathcal{V}$-Usable Information
Kawin Ethayarajh, Yejin Choi, Swabha Swayamdipta
cs.CLcs.AIcs.LGarXiv:2110.08420v32021
TVM: An Automated End-to-End Optimizing Compiler for Deep Learning
Tianqi Chen, Thierry Moreau, Ziheng Jiang +9
cs.LGcs.AIcs.PLarXiv:1802.04799v32018
Bi-Directional Cascade Network for Perceptual Edge Detection
Jianzhong He, Shiliang Zhang, Ming Yang +2
cs.CVarXiv:1902.10903v12019
Experimental measurement-device-independent quantum key distribution
Yang Liu, Teng-Yun Chen, Liu-Jun Wang +12
quant-pharXiv:1209.6178v12012
Distribution Matching Losses Can Hallucinate Features in Medical Image Translation
Joseph Paul Cohen, Margaux Luck, Sina Honari
cs.CVcs.LGarXiv:1805.08841v32018
Deep Learning for Change Detection in Remote Sensing Images: Comprehensive Review and Meta-Analysis
Lazhar Khelifi, Max Mignotte
cs.CVarXiv:2006.05612v12020
Optimizing Age-of-Information in a Multi-class Queueing System
Longbo Huang, Eytan Modiano
math.OCcs.PFarXiv:1504.05103v12015
RGCNN: Regularized Graph CNN for Point Cloud Segmentation
Gusi Te, Wei Hu, Zongming Guo +1
cs.CVarXiv:1806.02952v12018
Multifaceted Feature Visualization: Uncovering the Different Types of Features Learned By Each Neuron in Deep Neural Networks
Anh Nguyen, Jason Yosinski, Jeff Clune
cs.NEcs.CVarXiv:1602.03616v22016
Better Mixing via Deep Representations
Yoshua Bengio, Grégoire Mesnil, Yann Dauphin +1
cs.LGarXiv:1207.4404v12012
Ghost in the Minecraft: Generally Capable Agents for Open-World Environments via Large Language Models with Text-based Knowledge and Memory
Xizhou Zhu, Yuntao Chen, Hao Tian +10
cs.AIcs.CLcs.CVarXiv:2305.17144v22023
Adversarial Attacks and Defences Competition
Alexey Kurakin, Ian Goodfellow, Samy Bengio +20
cs.CVcs.CRcs.LGarXiv:1804.00097v12018
A Hierarchical 3D Gaussian Representation for Real-Time Rendering of Very Large Datasets
Bernhard Kerbl, Andréas Meuleman, Georgios Kopanas +3
cs.CVcs.GRarXiv:2406.12080v12024
A Bayesian Approach to Discovering Truth from Conflicting Sources for Data Integration
Bo Zhao, Benjamin I. P. Rubinstein, Jim Gemmell +1
cs.DBcs.LGarXiv:1203.0058v12012
UGC-VQA: Benchmarking Blind Video Quality Assessment for User Generated Content
Zhengzhong Tu, Yilin Wang, Neil Birkbeck +2
cs.CVeess.IVarXiv:2005.14354v22020
Statistical Inference for Partially Observed Markov Processes via the R Package pomp
Aaron A. King, Dao Nguyen, Edward L. Ionides
stat.MEarXiv:1509.00503v22015
Unleashing Text-to-Image Diffusion Models for Visual Perception
Wenliang Zhao, Yongming Rao, Zuyan Liu +3
cs.CVarXiv:2303.02153v12023
xCOMET: Transparent Machine Translation Evaluation through Fine-grained Error Detection
Nuno M. Guerreiro, Ricardo Rei, Daan van Stigt +3
cs.CLarXiv:2310.10482v12023

Every paper with a summary

Quant GANs: Deep Generation of Financial Time Series

Video Compression through Image Interpolation

Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision

Generative Adversarial Active Learning for Unsupervised Outlier Detection

Parametric UMAP embeddings for representation and semi-supervised learning

The Vertica Analytic Database: C-Store 7 Years Later

Stochastic Gradient-Push for Strongly Convex Functions on Time-Varying Directed Graphs

Crowd Counting and Density Estimation by Trellis Encoder-Decoder Network

Contextual Bandit Algorithms with Supervised Learning Guarantees

A New Approach to Probabilistic Programming Inference

Interpretable bilinear attention network with domain adaptation improves drug-target prediction

DiverseVul: A New Vulnerable Source Code Dataset for Deep Learning Based Vulnerability Detection

Transfer Learning for Sequence Tagging with Hierarchical Recurrent Networks

Machine-learning interatomic potentials for materials science

HyGCN: A GCN Accelerator with Hybrid Architecture

A review of feature extraction and performance evaluation in epileptic seizure detection using EEG

Collective response of human populations to large-scale emergencies

A comprehensive survey on point cloud registration

Compact difference schemes for the modified anomalous fractional sub-diffusion equation and the fractional diffusion-wave equation

A comprehensive deep learning-based approach to reduced order modeling of nonlinear time-dependent parametrized PDEs

Quantum-state preparation with universal gate decompositions

Supermasks in Superposition

Power grids vulnerability: a complex network approach

Vulnerability Detection with Fine-grained Interpretations

Graph Information Bottleneck

End-to-end Lane Shape Prediction with Transformers

SE(3) diffusion model with application to protein backbone generation

DiffNet++: A Neural Influence and Interest Diffusion Network for Social Recommendation

SelfReg: Self-supervised Contrastive Regularization for Domain Generalization

DeSTSeg: Segmentation Guided Denoising Student-Teacher for Anomaly Detection

BABEL: Bodies, Action and Behavior with English Labels

Fast Image Processing with Fully-Convolutional Networks

OminiControl: Minimal and Universal Control for Diffusion Transformer

Learning Joint Spatial-Temporal Transformations for Video Inpainting

Exploring the Encoding Layer and Loss Function in End-to-End Speaker and Language Recognition System

A tutorial on group effective connectivity analysis, part 1: first level analysis with DCM for fMRI

FIERY: Future Instance Prediction in Bird's-Eye View from Surround Monocular Cameras

An Efficient Implementation of the Generalized Labeled Multi-Bernoulli Filter

DNGaussian: Optimizing Sparse-View 3D Gaussian Radiance Fields with Global-Local Depth Normalization

Does Audio Deepfake Detection Generalize?

Latent ODEs for Irregularly-Sampled Time Series

COGS: A Compositional Generalization Challenge Based on Semantic Interpretation

Understanding Dataset Difficulty with $\mathcal{V}$-Usable Information

TVM: An Automated End-to-End Optimizing Compiler for Deep Learning

Bi-Directional Cascade Network for Perceptual Edge Detection

Experimental measurement-device-independent quantum key distribution

Distribution Matching Losses Can Hallucinate Features in Medical Image Translation

Deep Learning for Change Detection in Remote Sensing Images: Comprehensive Review and Meta-Analysis

Optimizing Age-of-Information in a Multi-class Queueing System

RGCNN: Regularized Graph CNN for Point Cloud Segmentation

Multifaceted Feature Visualization: Uncovering the Different Types of Features Learned By Each Neuron in Deep Neural Networks

Better Mixing via Deep Representations

Ghost in the Minecraft: Generally Capable Agents for Open-World Environments via Large Language Models with Text-based Knowledge and Memory

Adversarial Attacks and Defences Competition

A Hierarchical 3D Gaussian Representation for Real-Time Rendering of Very Large Datasets

A Bayesian Approach to Discovering Truth from Conflicting Sources for Data Integration

UGC-VQA: Benchmarking Blind Video Quality Assessment for User Generated Content

Statistical Inference for Partially Observed Markov Processes via the R Package pomp

Unleashing Text-to-Image Diffusion Models for Visual Perception

xCOMET: Transparent Machine Translation Evaluation through Fine-grained Error Detection