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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37,081 to 37,140 of 61,111

Dopamine: A Research Framework for Deep Reinforcement Learning
Pablo Samuel Castro, Subhodeep Moitra, Carles Gelada +2
cs.LGcs.AIarXiv:1812.06110v12018
Towards Generalization and Simplicity in Continuous Control
Aravind Rajeswaran, Kendall Lowrey, Emanuel Todorov +1
cs.LGcs.AIcs.ROarXiv:1703.02660v22017
Model Adaptation: Historical Contrastive Learning for Unsupervised Domain Adaptation without Source Data
Jiaxing Huang, Dayan Guan, Aoran Xiao +1
cs.CVarXiv:2110.03374v62021
Orbital Angular Momentum Waves: Generation, Detection and Emerging Applications
Rui Chen, Hong Zhou, Marco Moretti +2
physics.app-pharXiv:1903.07818v32019
Human-robot collaboration and machine learning: a systematic review of recent research
Francesco Semeraro, Alexander Griffiths, Angelo Cangelosi
cs.ROcs.LGarXiv:2110.07448v42021
Community Discovery in Dynamic Networks: a Survey
Giulio Rossetti, Rémy Cazabet
cs.SIphysics.soc-pharXiv:1707.03186v32017
Few-Shot Video Classification via Temporal Alignment
Kaidi Cao, Jingwei Ji, Zhangjie Cao +2
cs.CVarXiv:1906.11415v12019
Bidirectional Recurrent Neural Networks for Medical Event Detection in Electronic Health Records
Abhyuday Jagannatha, Hong Yu
cs.CLcs.LGcs.NEarXiv:1606.07953v22016
Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning
Tianlong Chen, Sijia Liu, Shiyu Chang +3
cs.CVcs.LGarXiv:2003.12862v12020
Consensus optimization on manifolds
Alain Sarlette, Rodolphe Sepulchre
math.OCmath.DGarXiv:0811.4275v12008
On the Diversity of Uncoded OTFS Modulation in Doubly-Dispersive Channels
G. D. Surabhi, Rose Mary Augustine, A. Chockalingam
cs.ITarXiv:1808.07747v22018
Android HIV: A Study of Repackaging Malware for Evading Machine-Learning Detection
Xiao Chen, Chaoran Li, Derui Wang +5
cs.CRarXiv:1808.04218v42018
Secure State Estimation For Cyber Physical Systems Under Sensor Attacks: A Satisfiability Modulo Theory Approach
Yasser Shoukry, Pierluigi Nuzzo, Alberto Puggelli +3
math.OCcs.CRcs.ITarXiv:1412.4324v22014
Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detection
Oliver Rippel, Patrick Mertens, Dorit Merhof
cs.CVarXiv:2005.14140v22020
Hybrid Reward Architecture for Reinforcement Learning
Harm van Seijen, Mehdi Fatemi, Joshua Romoff +3
cs.LGarXiv:1706.04208v22017
TadGAN: Time Series Anomaly Detection Using Generative Adversarial Networks
Alexander Geiger, Dongyu Liu, Sarah Alnegheimish +2
cs.LGstat.MLarXiv:2009.07769v32020
Discovering Latent Network Structure in Point Process Data
Scott W. Linderman, Ryan P. Adams
stat.MLcs.LGarXiv:1402.0914v12014
Adversarial Dropout Regularization
Kuniaki Saito, Yoshitaka Ushiku, Tatsuya Harada +1
cs.CVarXiv:1711.01575v32017
ChatUniTest: A Framework for LLM-Based Test Generation
Yinghao Chen, Zehao Hu, Chen Zhi +3
cs.SEarXiv:2305.04764v22023
Are Multimodal Transformers Robust to Missing Modality?
Mengmeng Ma, Jian Ren, Long Zhao +2
cs.CVarXiv:2204.05454v12022
Decoupled Attention Network for Text Recognition
Tianwei Wang, Yuanzhi Zhu, Lianwen Jin +5
cs.CVarXiv:1912.10205v12019
RFLA: Gaussian Receptive Field based Label Assignment for Tiny Object Detection
Chang Xu, Jinwang Wang, Wen Yang +3
cs.CVarXiv:2208.08738v22022
Generative Models and Model Criticism via Optimized Maximum Mean Discrepancy
Danica J. Sutherland, Hsiao-Yu Tung, Heiko Strathmann +4
stat.MLcs.AIcs.LGarXiv:1611.04488v62016
BUT System Description to VoxCeleb Speaker Recognition Challenge 2019
Hossein Zeinali, Shuai Wang, Anna Silnova +2
eess.AScs.CLcs.SDarXiv:1910.12592v12019
Attentive Single-Tasking of Multiple Tasks
Kevis-Kokitsi Maninis, Ilija Radosavovic, Iasonas Kokkinos
cs.CVarXiv:1904.08918v12019
Differentially Private Model Publishing for Deep Learning
Lei Yu, Ling Liu, Calton Pu +2
cs.CRcs.LGarXiv:1904.02200v52019
Weakly Supervised Complementary Parts Models for Fine-Grained Image Classification from the Bottom Up
Weifeng Ge, Xiangru Lin, Yizhou Yu
cs.CVarXiv:1903.02827v12019
The R Package JMbayes for Fitting Joint Models for Longitudinal and Time-to-Event Data using MCMC
Dimitris Rizopoulos
stat.COstat.AParXiv:1404.7625v12014
RODE: Learning Roles to Decompose Multi-Agent Tasks
Tonghan Wang, Tarun Gupta, Anuj Mahajan +3
cs.LGstat.MLarXiv:2010.01523v12020
FaceBoxes: A CPU Real-time Face Detector with High Accuracy
Shifeng Zhang, Xiangyu Zhu, Zhen Lei +3
cs.CVarXiv:1708.05234v42017
The Limit Points of (Optimistic) Gradient Descent in Min-Max Optimization
Constantinos Daskalakis, Ioannis Panageas
math.OCcs.LGstat.MLarXiv:1807.03907v22018
CLIMATE-FEVER: A Dataset for Verification of Real-World Climate Claims
Thomas Diggelmann, Jordan Boyd-Graber, Jannis Bulian +2
cs.CLcs.AIarXiv:2012.00614v22020
Assessing requirements to scale to practical quantum advantage
Michael E. Beverland, Prakash Murali, Matthias Troyer +7
quant-phcs.ARarXiv:2211.07629v12022
Efficient Learning of Domain-invariant Image Representations
Judy Hoffman, Erik Rodner, Jeff Donahue +2
cs.LGarXiv:1301.3224v52013
CoAID: COVID-19 Healthcare Misinformation Dataset
Limeng Cui, Dongwon Lee
cs.SIcs.CLarXiv:2006.00885v32020
SGFormer: Simplifying and Empowering Transformers for Large-Graph Representations
Qitian Wu, Wentao Zhao, Chenxiao Yang +5
cs.LGcs.AIcs.SIarXiv:2306.10759v52023
Instance-Level Salient Object Segmentation
Guanbin Li, Yuan Xie, Liang Lin +1
cs.CVarXiv:1704.03604v12017
A Large Self-Annotated Corpus for Sarcasm
Mikhail Khodak, Nikunj Saunshi, Kiran Vodrahalli
cs.CLcs.AIcs.LGarXiv:1704.05579v42017
Beyond Static Features for Temporally Consistent 3D Human Pose and Shape from a Video
Hongsuk Choi, Gyeongsik Moon, Ju Yong Chang +1
cs.CVarXiv:2011.08627v42020
Binomial edge ideals and conditional independence statements
Juergen Herzog, Takayuki Hibi, Freyja Hreinsdottir +2
math.ACarXiv:0909.4717v22009
DFEW: A Large-Scale Database for Recognizing Dynamic Facial Expressions in the Wild
Xingxun Jiang, Yuan Zong, Wenming Zheng +4
cs.CVcs.MMarXiv:2008.05924v12020
Shape Prior Deformation for Categorical 6D Object Pose and Size Estimation
Meng Tian, Marcelo H Ang, Gim Hee Lee
cs.CVarXiv:2007.08454v12020
Rainbow connections of graphs -- A survey
Xueliang Li, Yuefang Sun
math.COcs.DMarXiv:1101.5747v22011
When Scaling Meets LLM Finetuning: The Effect of Data, Model and Finetuning Method
Biao Zhang, Zhongtao Liu, Colin Cherry +1
cs.CLcs.LGarXiv:2402.17193v12024
Data Augmentation for Deep Graph Learning: A Survey
Kaize Ding, Zhe Xu, Hanghang Tong +1
cs.LGarXiv:2202.08235v32022
Differential Privacy and Machine Learning: a Survey and Review
Zhanglong Ji, Zachary C. Lipton, Charles Elkan
cs.LGcs.CRcs.DBarXiv:1412.7584v12014
Factuality Challenges in the Era of Large Language Models
Isabelle Augenstein, Timothy Baldwin, Meeyoung Cha +15
cs.CLcs.AIcs.LGarXiv:2310.05189v22023
An application of cascaded 3D fully convolutional networks for medical image segmentation
Holger R. Roth, Hirohisa Oda, Xiangrong Zhou +7
cs.CVarXiv:1803.05431v22018
ABC-CNN: An Attention Based Convolutional Neural Network for Visual Question Answering
Kan Chen, Jiang Wang, Liang-Chieh Chen +3
cs.CVarXiv:1511.05960v22015
Energy-Efficient Resource Allocation in Wireless Networks: An Overview of Game-Theoretic Approaches
Farhad Meshkati, H. Vincent Poor, Stuart C. Schwartz
cs.ITcs.GTarXiv:0705.1787v12007
Combinatorial Optimization with Physics-Inspired Graph Neural Networks
Martin J. A. Schuetz, J. Kyle Brubaker, Helmut G. Katzgraber
cs.LGcond-mat.dis-nncs.AIarXiv:2107.01188v22021
Supervised Reinforcement Learning with Recurrent Neural Network for Dynamic Treatment Recommendation
Lu Wang, Wei Zhang, Xiaofeng He +1
cs.LGstat.MLarXiv:1807.01473v22018
The Fallacy of AI Functionality
Inioluwa Deborah Raji, I. Elizabeth Kumar, Aaron Horowitz +1
cs.LGarXiv:2206.09511v22022
Using Hindsight to Anchor Past Knowledge in Continual Learning
Arslan Chaudhry, Albert Gordo, Puneet K. Dokania +2
cs.LGstat.MLarXiv:2002.08165v22020
Knock Knock, Who's There? Membership Inference on Aggregate Location Data
Apostolos Pyrgelis, Carmela Troncoso, Emiliano De Cristofaro
cs.CRarXiv:1708.06145v22017
M3ER: Multiplicative Multimodal Emotion Recognition Using Facial, Textual, and Speech Cues
Trisha Mittal, Uttaran Bhattacharya, Rohan Chandra +2
eess.SPcs.CLcs.LGarXiv:1911.05659v22019
Nonlinear Models Using Dirichlet Process Mixtures
Babak Shahbaba, Radford M. Neal
math.STq-bio.QMarXiv:math/0703292v12007
Determining stellar atmospheric parameters and chemical abundances of FGK stars with iSpec
S. Blanco-Cuaresma, C. Soubiran, U. Heiter +1
astro-ph.IMastro-ph.SRarXiv:1407.2608v12014
Editing in Style: Uncovering the Local Semantics of GANs
Edo Collins, Raja Bala, Bob Price +1
cs.CVcs.LGarXiv:2004.14367v22020
Perturbed and Strict Mean Teachers for Semi-supervised Semantic Segmentation
Yuyuan Liu, Yu Tian, Yuanhong Chen +3
cs.CVarXiv:2111.12903v32021

Every paper with a summary

Dopamine: A Research Framework for Deep Reinforcement Learning

Towards Generalization and Simplicity in Continuous Control

Model Adaptation: Historical Contrastive Learning for Unsupervised Domain Adaptation without Source Data

Orbital Angular Momentum Waves: Generation, Detection and Emerging Applications

Human-robot collaboration and machine learning: a systematic review of recent research

Community Discovery in Dynamic Networks: a Survey

Few-Shot Video Classification via Temporal Alignment

Bidirectional Recurrent Neural Networks for Medical Event Detection in Electronic Health Records

Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning

Consensus optimization on manifolds

On the Diversity of Uncoded OTFS Modulation in Doubly-Dispersive Channels

Android HIV: A Study of Repackaging Malware for Evading Machine-Learning Detection

Secure State Estimation For Cyber Physical Systems Under Sensor Attacks: A Satisfiability Modulo Theory Approach

Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detection

Hybrid Reward Architecture for Reinforcement Learning

TadGAN: Time Series Anomaly Detection Using Generative Adversarial Networks

Discovering Latent Network Structure in Point Process Data

Adversarial Dropout Regularization

ChatUniTest: A Framework for LLM-Based Test Generation

Are Multimodal Transformers Robust to Missing Modality?

Decoupled Attention Network for Text Recognition

RFLA: Gaussian Receptive Field based Label Assignment for Tiny Object Detection

Generative Models and Model Criticism via Optimized Maximum Mean Discrepancy

BUT System Description to VoxCeleb Speaker Recognition Challenge 2019

Attentive Single-Tasking of Multiple Tasks

Differentially Private Model Publishing for Deep Learning

Weakly Supervised Complementary Parts Models for Fine-Grained Image Classification from the Bottom Up

The R Package JMbayes for Fitting Joint Models for Longitudinal and Time-to-Event Data using MCMC

RODE: Learning Roles to Decompose Multi-Agent Tasks

FaceBoxes: A CPU Real-time Face Detector with High Accuracy

The Limit Points of (Optimistic) Gradient Descent in Min-Max Optimization

CLIMATE-FEVER: A Dataset for Verification of Real-World Climate Claims

Assessing requirements to scale to practical quantum advantage

Efficient Learning of Domain-invariant Image Representations

CoAID: COVID-19 Healthcare Misinformation Dataset

SGFormer: Simplifying and Empowering Transformers for Large-Graph Representations

Instance-Level Salient Object Segmentation

A Large Self-Annotated Corpus for Sarcasm

Beyond Static Features for Temporally Consistent 3D Human Pose and Shape from a Video

Binomial edge ideals and conditional independence statements

DFEW: A Large-Scale Database for Recognizing Dynamic Facial Expressions in the Wild

Shape Prior Deformation for Categorical 6D Object Pose and Size Estimation

Rainbow connections of graphs -- A survey

When Scaling Meets LLM Finetuning: The Effect of Data, Model and Finetuning Method

Data Augmentation for Deep Graph Learning: A Survey

Differential Privacy and Machine Learning: a Survey and Review

Factuality Challenges in the Era of Large Language Models

An application of cascaded 3D fully convolutional networks for medical image segmentation

ABC-CNN: An Attention Based Convolutional Neural Network for Visual Question Answering

Energy-Efficient Resource Allocation in Wireless Networks: An Overview of Game-Theoretic Approaches

Combinatorial Optimization with Physics-Inspired Graph Neural Networks

Supervised Reinforcement Learning with Recurrent Neural Network for Dynamic Treatment Recommendation

The Fallacy of AI Functionality

Using Hindsight to Anchor Past Knowledge in Continual Learning

Knock Knock, Who's There? Membership Inference on Aggregate Location Data

M3ER: Multiplicative Multimodal Emotion Recognition Using Facial, Textual, and Speech Cues

Nonlinear Models Using Dirichlet Process Mixtures

Determining stellar atmospheric parameters and chemical abundances of FGK stars with iSpec

Editing in Style: Uncovering the Local Semantics of GANs

Perturbed and Strict Mean Teachers for Semi-supervised Semantic Segmentation