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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26,161 to 26,220 of 118,995

Learning Data Manipulation for Augmentation and Weighting
Zhiting Hu, Bowen Tan, Ruslan Salakhutdinov +2
cs.LGcs.CLcs.CVarXiv:1910.12795v12019
Small and Practical BERT Models for Sequence Labeling
Henry Tsai, Jason Riesa, Melvin Johnson +3
cs.CLarXiv:1909.00100v12019
Deep Rigid Instance Scene Flow
Wei-Chiu Ma, Shenlong Wang, Rui Hu +2
cs.CVcs.ROarXiv:1904.08913v12019
Image Counterfactual Sensitivity Analysis for Detecting Unintended Bias
Remi Denton, Ben Hutchinson, Margaret Mitchell +2
cs.CVcs.LGstat.MLarXiv:1906.06439v32019
Improving Question Answering over Incomplete KBs with Knowledge-Aware Reader
Wenhan Xiong, Mo Yu, Shiyu Chang +2
cs.CLcs.AIarXiv:1905.07098v22019
Deep Reinforcement Learning for Minimizing Age-of-Information in UAV-assisted Networks
Mohamed A. Abd-Elmagid, Aidin Ferdowsi, Harpreet S. Dhillon +1
cs.ITcs.NImath.ITarXiv:1905.02993v22019
Hyperbolic Discounting and Learning over Multiple Horizons
William Fedus, Carles Gelada, Yoshua Bengio +2
stat.MLcs.LGarXiv:1902.06865v32019
Joint User Selection, Power Allocation, and Precoding Design with Imperfect CSIT for Multi-Cell MU-MIMO Downlink Systems
Jiwook Choi, Namyoon Lee, Song-Nam Hong +1
cs.ITmath.ITarXiv:1902.00824v12019
The Laplacian in RL: Learning Representations with Efficient Approximations
Yifan Wu, George Tucker, Ofir Nachum
cs.LGstat.MLarXiv:1810.04586v12018
GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding
Zhaocheng Zhu, Shizhen Xu, Meng Qu +1
cs.LGcs.DCstat.MLarXiv:1903.00757v12019
Deep Unfolding of a Proximal Interior Point Method for Image Restoration
Carla Bertocchi, Emilie Chouzenoux, Marie-Caroline Corbineau +2
math.OCcs.LGarXiv:1812.04276v52018
Detect-to-Retrieve: Efficient Regional Aggregation for Image Search
Marvin Teichmann, Andre Araujo, Menglong Zhu +1
cs.CVarXiv:1812.01584v22018
Deep Relevance Ranking Using Enhanced Document-Query Interactions
Ryan McDonald, Georgios-Ioannis Brokos, Ion Androutsopoulos
cs.IRcs.CLarXiv:1809.01682v22018
Study of the Impact of PHY and MAC Parameters in 3GPP C-V2V Mode 4
Alessandro Bazzi, Giammarco Cecchini, Barbara M. Masini +1
cs.NIarXiv:1807.10699v22018
CEREALS - Cost-Effective REgion-based Active Learning for Semantic Segmentation
Radek Mackowiak, Philip Lenz, Omair Ghori +3
cs.CVarXiv:1810.09726v12018
Towards a Better Metric for Evaluating Question Generation Systems
Preksha Nema, Mitesh M. Khapra
cs.CLarXiv:1808.10192v22018
A proof that deep artificial neural networks overcome the curse of dimensionality in the numerical approximation of Kolmogorov partial differential equations with constant diffusion and nonlinear drift coefficients
Arnulf Jentzen, Diyora Salimova, Timo Welti
math.NAcs.LGcs.NAarXiv:1809.07321v22018
Deep Matching and Validation Network -- An End-to-End Solution to Constrained Image Splicing Localization and Detection
Yue Wu, Wael AbdAlmageed, Prem Natarajan
cs.CVcs.CRarXiv:1705.09765v12017
The Gromov-Wasserstein distance between networks and stable network invariants
Samir Chowdhury, Facundo Mémoli
cs.DMmath.MGarXiv:1808.04337v22018
MLCapsule: Guarded Offline Deployment of Machine Learning as a Service
Lucjan Hanzlik, Yang Zhang, Kathrin Grosse +4
cs.CRcs.AIcs.LGarXiv:1808.00590v22018
Extracting Scientific Figures with Distantly Supervised Neural Networks
Noah Siegel, Nicholas Lourie, Russell Power +1
cs.DLcs.CVarXiv:1804.02445v22018
Attribute-aware Face Aging with Wavelet-based Generative Adversarial Networks
Yunfan Liu, Qi Li, Zhenan Sun
cs.CVarXiv:1809.06647v32018
On Coresets for Logistic Regression
Alexander Munteanu, Chris Schwiegelshohn, Christian Sohler +1
cs.DScs.LGstat.MLarXiv:1805.08571v32018
Wasserstein Distributionally Robust Kalman Filtering
Soroosh Shafieezadeh-Abadeh, Viet Anh Nguyen, Daniel Kuhn +1
math.OCcs.LGstat.MLarXiv:1809.08830v32018
Sound Event Detection and Time-Frequency Segmentation from Weakly Labelled Data
Qiuqiang Kong, Yong Xu, Iwona Sobieraj +2
cs.SDeess.ASarXiv:1804.04715v32018
SCH-GAN: Semi-supervised Cross-modal Hashing by Generative Adversarial Network
Jian Zhang, Yuxin Peng, Mingkuan Yuan
cs.CVarXiv:1802.02488v12018
Hyperspectral Unmixing: Ground Truth Labeling, Datasets, Benchmark Performances and Survey
Feiyun Zhu
cs.CVarXiv:1708.05125v22017
Alternating Multi-bit Quantization for Recurrent Neural Networks
Chen Xu, Jianqiang Yao, Zhouchen Lin +4
cs.LGstat.MLarXiv:1802.00150v12018
LazyFP: Leaking FPU Register State using Microarchitectural Side-Channels
Julian Stecklina, Thomas Prescher
cs.OScs.ARcs.CRarXiv:1806.07480v12018
Exploiting Multiple-Antenna Techniques for Non-Orthogonal Multiple Access
Xiaoming Chen, Zhaoyang Zhang, Caijun Zhong +1
cs.ITmath.ITarXiv:1706.00635v12017
GAMBIT: The Global and Modular Beyond-the-Standard-Model Inference Tool
The GAMBIT Collaboration, Peter Athron, Csaba Balazs +29
hep-phastro-ph.COarXiv:1705.07908v22017
When mmWave Communications Meet Network Densification: A Scalable Interference Coordination Perspective
Wei Feng, Yanmin Wang, Dengsheng Lin +3
cs.ITmath.ITarXiv:1704.02908v12017
Self-supervised learning of visual features through embedding images into text topic spaces
Lluis Gomez, Yash Patel, Marçal Rusiñol +2
cs.CVarXiv:1705.08631v12017
Middleware Technologies for Cloud of Things - a survey
Amirhossein Farahzadia, Pooyan Shams, Javad Rezazadeh +1
cs.DCarXiv:1705.00387v12017
Coupling Adaptive Batch Sizes with Learning Rates
Lukas Balles, Javier Romero, Philipp Hennig
cs.LGcs.CVstat.MLarXiv:1612.05086v22016
Natural Language Generation enhances human decision-making with uncertain information
Dimitra Gkatzia, Oliver Lemon, Verena Rieser
cs.CLcs.AIarXiv:1606.03254v22016
Hard Mixtures of Experts for Large Scale Weakly Supervised Vision
Sam Gross, Marc'Aurelio Ranzato, Arthur Szlam
cs.CVstat.MLarXiv:1704.06363v12017
Dynamic-SCFlip Decoding of Polar Codes
Ludovic Chandesris, Valentin Savin, David Declercq
cs.ITmath.ITarXiv:1703.04414v12017
ActionFlowNet: Learning Motion Representation for Action Recognition
Joe Yue-Hei Ng, Jonghyun Choi, Jan Neumann +1
cs.CVarXiv:1612.03052v32016
Adaptive Caching Networks with Optimality Guarantees
Stratis Ioannidis, Edmund Yeh
cs.NIarXiv:1604.03175v12016
Guided Policy Search as Approximate Mirror Descent
William Montgomery, Sergey Levine
cs.LGcs.ROarXiv:1607.04614v12016
"What happens if..." Learning to Predict the Effect of Forces in Images
Roozbeh Mottaghi, Mohammad Rastegari, Abhinav Gupta +1
cs.CVarXiv:1603.05600v12016
Source-device-independent Ultra-fast Quantum Random Number Generation
Davide G. Marangon, Giuseppe Vallone, Paolo Villoresi
quant-pharXiv:1509.07390v12015
Paxos Made Switch-y
Huynh Tu Dang, Marco Canini, Fernando Pedone +1
cs.DCcs.NIarXiv:1511.04985v12015
Autocorrelated errors in experimental data in the language sciences: Some solutions offered by Generalized Additive Mixed Models
R. Harald Baayen, Jacolien van Rij, Cecile de Cat +1
stat.AParXiv:1601.02043v12016
Predicting Grades
Yannick Meier, Jie Xu, Onur Atan +1
cs.LGarXiv:1508.03865v22015
Learning Graphical Models Using Multiplicative Weights
Adam Klivans, Raghu Meka
cs.LGcs.DSmath.STarXiv:1706.06274v12017
Dimensionality Reduction for Binary Data through the Projection of Natural Parameters
Andrew J. Landgraf, Yoonkyung Lee
stat.MLstat.MEarXiv:1510.06112v12015
Spot On: Action Localization from Pointly-Supervised Proposals
Pascal Mettes, Jan C. van Gemert, Cees G. M. Snoek
cs.CVarXiv:1604.07602v22016
Unsupervised Object Discovery and Tracking in Video Collections
Suha Kwak, Minsu Cho, Ivan Laptev +2
cs.CVarXiv:1505.03825v12015
Model-based reinforcement learning for infinite-horizon approximate optimal tracking
Rushikesh Kamalapurkar, Lindsey Andrews, Patrick Walters +1
eess.SYcs.SYmath.OCarXiv:1506.00685v12015
An efficient multi-core implementation of a novel HSS-structured multifrontal solver using randomized sampling
Pieter Ghysels, Xiaoye S. Li, Francois-Henry Rouet +2
cs.MSarXiv:1502.07405v12015
Quantum Spectrum Testing
Ryan O'Donnell, John Wright
quant-pharXiv:1501.05028v12015
Nonlinear Bell inequalities tailored for quantum networks
Denis Rosset, Cyril Branciard, Tomer Jack Barnea +3
quant-pharXiv:1506.07380v12015
Ricci Curvature of the Internet Topology
Chien-Chun Ni, Yu-Yao Lin, Jie Gao +2
cs.SIcs.CGcs.NIarXiv:1501.04138v12015
Robust Inference for State-Space Models with Skewed Measurement Noise
Henri Nurminen, Tohid Ardeshiri, Robert Piché +1
eess.SYcs.SYstat.COarXiv:1503.06606v22015
Genetic Algorithms in Wireless Networking: Techniques, Applications, and Issues
Usama Mehboob, Junaid Qadir, Salman Ali +1
cs.NIarXiv:1411.5323v12014
Joint Object and Part Segmentation using Deep Learned Potentials
Peng Wang, Xiaohui Shen, Zhe Lin +3
cs.CVarXiv:1505.00276v12015
Galois Self-Dual Constacyclic Codes
Yun Fan, Liang Zgang
cs.ITmath.ITmath.RAarXiv:1512.07347v12015
Online Submodular Maximization with Preemption
Niv Buchbinder, Moran Feldman, Roy Schwartz
cs.DSarXiv:1501.05801v12015

Every paper with a summary

Learning Data Manipulation for Augmentation and Weighting

Small and Practical BERT Models for Sequence Labeling

Deep Rigid Instance Scene Flow

Image Counterfactual Sensitivity Analysis for Detecting Unintended Bias

Improving Question Answering over Incomplete KBs with Knowledge-Aware Reader

Deep Reinforcement Learning for Minimizing Age-of-Information in UAV-assisted Networks

Hyperbolic Discounting and Learning over Multiple Horizons

Joint User Selection, Power Allocation, and Precoding Design with Imperfect CSIT for Multi-Cell MU-MIMO Downlink Systems

The Laplacian in RL: Learning Representations with Efficient Approximations

GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding

Deep Unfolding of a Proximal Interior Point Method for Image Restoration

Detect-to-Retrieve: Efficient Regional Aggregation for Image Search

Deep Relevance Ranking Using Enhanced Document-Query Interactions

Study of the Impact of PHY and MAC Parameters in 3GPP C-V2V Mode 4

CEREALS - Cost-Effective REgion-based Active Learning for Semantic Segmentation

Towards a Better Metric for Evaluating Question Generation Systems

A proof that deep artificial neural networks overcome the curse of dimensionality in the numerical approximation of Kolmogorov partial differential equations with constant diffusion and nonlinear drift coefficients

Deep Matching and Validation Network -- An End-to-End Solution to Constrained Image Splicing Localization and Detection

The Gromov-Wasserstein distance between networks and stable network invariants

MLCapsule: Guarded Offline Deployment of Machine Learning as a Service

Extracting Scientific Figures with Distantly Supervised Neural Networks

Attribute-aware Face Aging with Wavelet-based Generative Adversarial Networks

On Coresets for Logistic Regression

Wasserstein Distributionally Robust Kalman Filtering

Sound Event Detection and Time-Frequency Segmentation from Weakly Labelled Data

SCH-GAN: Semi-supervised Cross-modal Hashing by Generative Adversarial Network

Hyperspectral Unmixing: Ground Truth Labeling, Datasets, Benchmark Performances and Survey

Alternating Multi-bit Quantization for Recurrent Neural Networks

LazyFP: Leaking FPU Register State using Microarchitectural Side-Channels

Exploiting Multiple-Antenna Techniques for Non-Orthogonal Multiple Access

GAMBIT: The Global and Modular Beyond-the-Standard-Model Inference Tool

When mmWave Communications Meet Network Densification: A Scalable Interference Coordination Perspective

Self-supervised learning of visual features through embedding images into text topic spaces

Middleware Technologies for Cloud of Things - a survey

Coupling Adaptive Batch Sizes with Learning Rates

Natural Language Generation enhances human decision-making with uncertain information

Hard Mixtures of Experts for Large Scale Weakly Supervised Vision

Dynamic-SCFlip Decoding of Polar Codes

ActionFlowNet: Learning Motion Representation for Action Recognition

Adaptive Caching Networks with Optimality Guarantees

Guided Policy Search as Approximate Mirror Descent

"What happens if..." Learning to Predict the Effect of Forces in Images

Source-device-independent Ultra-fast Quantum Random Number Generation

Paxos Made Switch-y

Autocorrelated errors in experimental data in the language sciences: Some solutions offered by Generalized Additive Mixed Models

Predicting Grades

Learning Graphical Models Using Multiplicative Weights

Dimensionality Reduction for Binary Data through the Projection of Natural Parameters

Spot On: Action Localization from Pointly-Supervised Proposals

Unsupervised Object Discovery and Tracking in Video Collections

Model-based reinforcement learning for infinite-horizon approximate optimal tracking

An efficient multi-core implementation of a novel HSS-structured multifrontal solver using randomized sampling

Quantum Spectrum Testing

Nonlinear Bell inequalities tailored for quantum networks

Ricci Curvature of the Internet Topology

Robust Inference for State-Space Models with Skewed Measurement Noise

Genetic Algorithms in Wireless Networking: Techniques, Applications, and Issues

Joint Object and Part Segmentation using Deep Learned Potentials

Galois Self-Dual Constacyclic Codes

Online Submodular Maximization with Preemption