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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37,741 to 37,800 of 61,428

Differentially Private Empirical Risk Minimization Revisited: Faster and More General
Di Wang, Minwei Ye, Jinhui Xu
cs.LGcs.CRstat.MLarXiv:1802.05251v12018
Training Neural Networks Without Gradients: A Scalable ADMM Approach
Gavin Taylor, Ryan Burmeister, Zheng Xu +3
cs.LGarXiv:1605.02026v12016
GraPPa: Grammar-Augmented Pre-Training for Table Semantic Parsing
Tao Yu, Chien-Sheng Wu, Xi Victoria Lin +6
cs.CLcs.AIarXiv:2009.13845v22020
Log-concave sampling: Metropolis-Hastings algorithms are fast
Raaz Dwivedi, Yuansi Chen, Martin J. Wainwright +1
stat.MLstat.COarXiv:1801.02309v42018
Admix: Enhancing the Transferability of Adversarial Attacks
Xiaosen Wang, Xuanran He, Jingdong Wang +1
cs.CVcs.CRarXiv:2102.00436v32021
QPIC: Query-Based Pairwise Human-Object Interaction Detection with Image-Wide Contextual Information
Masato Tamura, Hiroki Ohashi, Tomoaki Yoshinaga
cs.CVcs.LGarXiv:2103.05399v12021
Hardware-efficient autonomous quantum error correction
Zaki Leghtas, Gerhard Kirchmair, Brian Vlastakis +3
quant-pharXiv:1207.0679v22012
Intelligent Nanophotonics: Merging Photonics and Artificial Intelligence at the Nanoscale
Kan Yao, Rohit Unni, Yuebing Zheng
physics.opticsarXiv:1810.11709v32018
A Survey on Video Diffusion Models
Zhen Xing, Qijun Feng, Haoran Chen +5
cs.CVcs.AIcs.LGarXiv:2310.10647v22023
IBM Q Experience as a versatile experimental testbed for simulating open quantum systems
Guillermo García-Pérez, Matteo A. C. Rossi, Sabrina Maniscalco
quant-pharXiv:1906.07099v22019
Monocular Depth Estimation Based On Deep Learning: An Overview
Chaoqiang Zhao, Qiyu Sun, Chongzhen Zhang +2
cs.CVarXiv:2003.06620v22020
Trustworthy AI: A Computational Perspective
Haochen Liu, Yiqi Wang, Wenqi Fan +6
cs.AIarXiv:2107.06641v32021
Imbalance-XGBoost: Leveraging Weighted and Focal Losses for Binary Label-Imbalanced Classification with XGBoost
Chen Wang, Chengyuan Deng, Suzhen Wang
cs.LGstat.MLarXiv:1908.01672v22019
Selecting between-sample RNA-Seq normalization methods from the perspective of their assumptions
Ciaran Evans, Johanna Hardin, Daniel Stoebel
q-bio.GNarXiv:1609.00959v12016
Evaluation and Measurement of Software Process Improvement -- A Systematic Literature Review
Michael Unterkalmsteiner, Tony Gorschek, A. K. M. Moinul Islam +3
cs.SEarXiv:2307.13143v12023
ROC and AUC with a Binary Predictor: a Potentially Misleading Metric
John Muschelli
stat.COstat.AParXiv:1903.04881v22019
Large Language Models as General Pattern Machines
Suvir Mirchandani, Fei Xia, Pete Florence +6
cs.AIcs.CLcs.ROarXiv:2307.04721v22023
MERF: Memory-Efficient Radiance Fields for Real-time View Synthesis in Unbounded Scenes
Christian Reiser, Richard Szeliski, Dor Verbin +5
cs.CVcs.GRarXiv:2302.12249v12023
Coupled atmosphere-wildland fire modeling with WRF-Fire
Jan Mandel, Jonathan D. Beezley, Adam K. Kochanski
physics.ao-pharXiv:1102.1343v32011
Evaluating probabilistic forecasts with scoringRules
Alexander Jordan, Fabian Krüger, Sebastian Lerch
stat.COstat.AParXiv:1709.04743v22017
sktime: A Unified Interface for Machine Learning with Time Series
Markus Löning, Anthony Bagnall, Sajaysurya Ganesh +3
cs.LGstat.MLarXiv:1909.07872v12019
Gated Channel Transformation for Visual Recognition
Zongxin Yang, Linchao Zhu, Yu Wu +1
cs.CVarXiv:1909.11519v22019
Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little
Koustuv Sinha, Robin Jia, Dieuwke Hupkes +3
cs.CLcs.LGarXiv:2104.06644v22021
A Proximal Decomposition Method for Solving Convex Variational Inverse Problems
Patrick L. Combettes, Jean-Christophe Pesquet
math.OCmath.NAarXiv:0807.2617v22008
Iterative Residual Refinement for Joint Optical Flow and Occlusion Estimation
Junhwa Hur, Stefan Roth
cs.CVcs.LGarXiv:1904.05290v12019
Data Based Identification and Prediction of Nonlinear and Complex Dynamical Systems
Wenxu Wang, Ying-Cheng Lai, Celso Grebogi
physics.data-annlin.CDphysics.soc-pharXiv:1704.08764v12017
HybridPose: 6D Object Pose Estimation under Hybrid Representations
Chen Song, Jiaru Song, Qixing Huang
cs.CVarXiv:2001.01869v42020
HERMES: towards an integrated toolbox to characterize functional and effective brain connectivity
Guiomar Niso, Ricardo Bruña, Ernesto Pereda +4
q-bio.NCcs.CEcs.MSarXiv:1305.2550v22013
CDAS: A Crowdsourcing Data Analytics System
Xuan Liu, Meiyu Lu, Beng Chin Ooi +3
cs.DBarXiv:1207.0143v12012
RobBERT: a Dutch RoBERTa-based Language Model
Pieter Delobelle, Thomas Winters, Bettina Berendt
cs.CLcs.LGarXiv:2001.06286v22020
Learning Actor Relation Graphs for Group Activity Recognition
Jianchao Wu, Limin Wang, Li Wang +2
cs.CVarXiv:1904.10117v12019
QuaterNet: A Quaternion-based Recurrent Model for Human Motion
Dario Pavllo, David Grangier, Michael Auli
cs.CVarXiv:1805.06485v22018
Iterative Crowd Counting
Viresh Ranjan, Hieu Le, Minh Hoai
cs.CVarXiv:1807.09959v12018
Soft Robots Modeling: a Structured Overview
Costanza Armanini, Frédéric Boyer, Anup Teejo Mathew +2
cs.ROarXiv:2112.03645v22021
Less is More: Nyström Computational Regularization
Alessandro Rudi, Raffaello Camoriano, Lorenzo Rosasco
stat.MLcs.LGarXiv:1507.04717v62015
Reputation-based Incentive Protocols in Crowdsourcing Applications
Yu Zhang, Mihaela van der Schaar
cs.AIcs.GTcs.SIarXiv:1108.2096v12011
Less Data, More Knowledge: Building Next Generation Semantic Communication Networks
Christina Chaccour, Walid Saad, Merouane Debbah +2
cs.AIcs.ITcs.LGarXiv:2211.14343v12022
Vulnerability Detection with Code Language Models: How Far Are We?
Yangruibo Ding, Yanjun Fu, Omniyyah Ibrahim +6
cs.SEcs.CLarXiv:2403.18624v22024
Physics-Guided Machine Learning for Scientific Discovery: An Application in Simulating Lake Temperature Profiles
Xiaowei Jia, Jared Willard, Anuj Karpatne +4
cs.LGeess.SParXiv:2001.11086v32020
Nested cross-validation when selecting classifiers is overzealous for most practical applications
Jacques Wainer, Gavin Cawley
cs.LGstat.MLarXiv:1809.09446v12018
Reach-Avoid Problems with Time-Varying Dynamics, Targets and Constraints
Jaime F. Fisac, Mo Chen, Claire J. Tomlin +1
math.OCarXiv:1410.6445v22014
StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image Synthesis
Axel Sauer, Tero Karras, Samuli Laine +2
cs.LGcs.CVarXiv:2301.09515v12023
Curriculum Learning by Transfer Learning: Theory and Experiments with Deep Networks
Daphna Weinshall, Gad Cohen, Dan Amir
cs.LGarXiv:1802.03796v42018
CrDoCo: Pixel-level Domain Transfer with Cross-Domain Consistency
Yun-Chun Chen, Yen-Yu Lin, Ming-Hsuan Yang +1
cs.CVarXiv:2001.03182v12020
Towards Explainable Deep Neural Networks (xDNN)
Plamen Angelov, Eduardo Soares
cs.LGcs.AIcs.CVarXiv:1912.02523v12019
Generating Factoid Questions With Recurrent Neural Networks: The 30M Factoid Question-Answer Corpus
Iulian Vlad Serban, Alberto García-Durán, Caglar Gulcehre +4
cs.CLcs.AIcs.LGarXiv:1603.06807v22016
Efficient softmax approximation for GPUs
Edouard Grave, Armand Joulin, Moustapha Cissé +2
cs.CLcs.LGarXiv:1609.04309v32016
Improving CLIP Training with Language Rewrites
Lijie Fan, Dilip Krishnan, Phillip Isola +2
cs.CVcs.CLcs.LGarXiv:2305.20088v22023
EmotionLines: An Emotion Corpus of Multi-Party Conversations
Sheng-Yeh Chen, Chao-Chun Hsu, Chuan-Chun Kuo +3
cs.CLarXiv:1802.08379v22018
mPLUG: Effective and Efficient Vision-Language Learning by Cross-modal Skip-connections
Chenliang Li, Haiyang Xu, Junfeng Tian +12
cs.CLcs.CVarXiv:2205.12005v22022
Training Millions of Personalized Dialogue Agents
Pierre-Emmanuel Mazaré, Samuel Humeau, Martin Raison +1
cs.CLarXiv:1809.01984v12018
Revisiting Self-Training for Neural Sequence Generation
Junxian He, Jiatao Gu, Jiajun Shen +1
cs.LGcs.CLstat.MLarXiv:1909.13788v32019
SuperNeurons: Dynamic GPU Memory Management for Training Deep Neural Networks
Linnan Wang, Jinmian Ye, Yiyang Zhao +5
cs.DCcs.LGarXiv:1801.04380v12018
NEAT: Neural Attention Fields for End-to-End Autonomous Driving
Kashyap Chitta, Aditya Prakash, Andreas Geiger
cs.CVcs.AIcs.LGarXiv:2109.04456v12021
The Role of ImageNet Classes in Fréchet Inception Distance
Tuomas Kynkäänniemi, Tero Karras, Miika Aittala +2
cs.CVcs.AIcs.LGarXiv:2203.06026v32022
Mobile Sensor Data Anonymization
Mohammad Malekzadeh, Richard G. Clegg, Andrea Cavallaro +1
cs.LGstat.MLarXiv:1810.11546v32018
Self-Supervised Learning of 3D Human Pose using Multi-view Geometry
Muhammed Kocabas, Salih Karagoz, Emre Akbas
cs.CVarXiv:1903.02330v22019
Heterogeneous Face Attribute Estimation: A Deep Multi-Task Learning Approach
Hu Han, Anil K. Jain, Fang Wang +2
cs.CVarXiv:1706.00906v32017
SRM : A Style-based Recalibration Module for Convolutional Neural Networks
HyunJae Lee, Hyo-Eun Kim, Hyeonseob Nam
cs.CVarXiv:1903.10829v12019
Human Trajectory Forecasting in Crowds: A Deep Learning Perspective
Parth Kothari, Sven Kreiss, Alexandre Alahi
cs.CVarXiv:2007.03639v32020

Every paper with a summary

Differentially Private Empirical Risk Minimization Revisited: Faster and More General

Training Neural Networks Without Gradients: A Scalable ADMM Approach

GraPPa: Grammar-Augmented Pre-Training for Table Semantic Parsing

Log-concave sampling: Metropolis-Hastings algorithms are fast

Admix: Enhancing the Transferability of Adversarial Attacks

QPIC: Query-Based Pairwise Human-Object Interaction Detection with Image-Wide Contextual Information

Hardware-efficient autonomous quantum error correction

Intelligent Nanophotonics: Merging Photonics and Artificial Intelligence at the Nanoscale

A Survey on Video Diffusion Models

IBM Q Experience as a versatile experimental testbed for simulating open quantum systems

Monocular Depth Estimation Based On Deep Learning: An Overview

Trustworthy AI: A Computational Perspective

Imbalance-XGBoost: Leveraging Weighted and Focal Losses for Binary Label-Imbalanced Classification with XGBoost

Selecting between-sample RNA-Seq normalization methods from the perspective of their assumptions

Evaluation and Measurement of Software Process Improvement -- A Systematic Literature Review

ROC and AUC with a Binary Predictor: a Potentially Misleading Metric

Large Language Models as General Pattern Machines

MERF: Memory-Efficient Radiance Fields for Real-time View Synthesis in Unbounded Scenes

Coupled atmosphere-wildland fire modeling with WRF-Fire

Evaluating probabilistic forecasts with scoringRules

sktime: A Unified Interface for Machine Learning with Time Series

Gated Channel Transformation for Visual Recognition

Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little

A Proximal Decomposition Method for Solving Convex Variational Inverse Problems

Iterative Residual Refinement for Joint Optical Flow and Occlusion Estimation

Data Based Identification and Prediction of Nonlinear and Complex Dynamical Systems

HybridPose: 6D Object Pose Estimation under Hybrid Representations

HERMES: towards an integrated toolbox to characterize functional and effective brain connectivity

CDAS: A Crowdsourcing Data Analytics System

RobBERT: a Dutch RoBERTa-based Language Model

Learning Actor Relation Graphs for Group Activity Recognition

QuaterNet: A Quaternion-based Recurrent Model for Human Motion

Iterative Crowd Counting

Soft Robots Modeling: a Structured Overview

Less is More: Nyström Computational Regularization

Reputation-based Incentive Protocols in Crowdsourcing Applications

Less Data, More Knowledge: Building Next Generation Semantic Communication Networks

Vulnerability Detection with Code Language Models: How Far Are We?

Physics-Guided Machine Learning for Scientific Discovery: An Application in Simulating Lake Temperature Profiles

Nested cross-validation when selecting classifiers is overzealous for most practical applications

Reach-Avoid Problems with Time-Varying Dynamics, Targets and Constraints

StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image Synthesis

Curriculum Learning by Transfer Learning: Theory and Experiments with Deep Networks

CrDoCo: Pixel-level Domain Transfer with Cross-Domain Consistency

Towards Explainable Deep Neural Networks (xDNN)

Generating Factoid Questions With Recurrent Neural Networks: The 30M Factoid Question-Answer Corpus

Efficient softmax approximation for GPUs

Improving CLIP Training with Language Rewrites

EmotionLines: An Emotion Corpus of Multi-Party Conversations

mPLUG: Effective and Efficient Vision-Language Learning by Cross-modal Skip-connections

Training Millions of Personalized Dialogue Agents

Revisiting Self-Training for Neural Sequence Generation

SuperNeurons: Dynamic GPU Memory Management for Training Deep Neural Networks

NEAT: Neural Attention Fields for End-to-End Autonomous Driving

The Role of ImageNet Classes in Fréchet Inception Distance

Mobile Sensor Data Anonymization

Self-Supervised Learning of 3D Human Pose using Multi-view Geometry

Heterogeneous Face Attribute Estimation: A Deep Multi-Task Learning Approach

SRM : A Style-based Recalibration Module for Convolutional Neural Networks

Human Trajectory Forecasting in Crowds: A Deep Learning Perspective