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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37,321 to 37,380 of 61,350

Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows
Fangyu Lei, Jixuan Chen, Yuxiao Ye +13
cs.CLcs.AIcs.DBarXiv:2411.07763v22024
Physics-informed neural network for ultrasound nondestructive quantification of surface breaking cracks
Khemraj Shukla, Patricio Clark Di Leoni, James Blackshire +2
cs.LGstat.MLarXiv:2005.03596v12020
Integrated optical multi-ion quantum logic
Karan K. Mehta, Chi Zhang, Maciej Malinowski +3
quant-phphysics.atom-phphysics.opticsarXiv:2002.02258v22020
Precision Health Data: Requirements, Challenges and Existing Techniques for Data Security and Privacy
Chandra Thapa, Seyit Camtepe
cs.CRcs.AIarXiv:2008.10733v12020
Computing prime factors with a Josephson phase qubit quantum processor
Erik Lucero, Rami Barends, Yu Chen +11
quant-phcond-mat.supr-conarXiv:1202.5707v12012
Graph-based Semi-supervised Learning: A Comprehensive Review
Zixing Song, Xiangli Yang, Zenglin Xu +1
cs.LGarXiv:2102.13303v12021
A Crowdsourcing Framework for On-Device Federated Learning
Shashi Raj Pandey, Nguyen H. Tran, Mehdi Bennis +3
cs.LGcs.GTcs.NIarXiv:1911.01046v22019
CS2-Net: Deep Learning Segmentation of Curvilinear Structures in Medical Imaging
Lei Mou, Yitian Zhao, Huazhu Fu +9
eess.IVcs.CVarXiv:2010.07486v22020
Fault Location in Power Distribution Systems via Deep Graph Convolutional Networks
Kunjin Chen, Jun Hu, Yu Zhang +2
cs.LGstat.APstat.MLarXiv:1812.09464v22018
Rules of the Road: Predicting Driving Behavior with a Convolutional Model of Semantic Interactions
Joey Hong, Benjamin Sapp, James Philbin
cs.CVcs.LGcs.ROarXiv:1906.08945v12019
DeepPET: A deep encoder-decoder network for directly solving the PET reconstruction inverse problem
Ida Häggström, C. Ross Schmidtlein, Gabriele Campanella +1
cs.CVphysics.med-pharXiv:1804.07851v22018
Mathematical frameworks for oscillatory network dynamics in neuroscience
Peter Ashwin, Stephen Coombes, Rachel Nicks
nlin.AOq-bio.NCarXiv:1506.05828v12015
DriveMLM: Aligning Multi-Modal Large Language Models with Behavioral Planning States for Autonomous Driving
Erfei Cui, Wenhai Wang, Zhiqi Li +7
cs.CVarXiv:2312.09245v32023
Neural Face Editing with Intrinsic Image Disentangling
Zhixin Shu, Ersin Yumer, Sunil Hadap +3
cs.CVarXiv:1704.04131v12017
Deep Reinforcement Learning meets Graph Neural Networks: exploring a routing optimization use case
Paul Almasan, José Suárez-Varela, Krzysztof Rusek +2
cs.NIcs.LGarXiv:1910.07421v32019
Sensing as a Service in 6G Perceptive Networks: A Unified Framework for ISAC Resource Allocation
Fuwang Dong, Fan Liu, Yuanhao Cui +3
eess.SParXiv:2202.09969v32022
Newton Sketch: A Linear-time Optimization Algorithm with Linear-Quadratic Convergence
Mert Pilanci, Martin J. Wainwright
math.OCcs.DScs.LGarXiv:1505.02250v12015
AppWorld: A Controllable World of Apps and People for Benchmarking Interactive Coding Agents
Harsh Trivedi, Tushar Khot, Mareike Hartmann +6
cs.SEcs.AIcs.CLarXiv:2407.18901v12024
Agent Hospital: A Simulacrum of Hospital with Evolvable Medical Agents
Junkai Li, Yunghwei Lai, Weitao Li +8
cs.AIarXiv:2405.02957v32024
State Evolution for General Approximate Message Passing Algorithms, with Applications to Spatial Coupling
Adel Javanmard, Andrea Montanari
math.PRcs.ITmath.STarXiv:1211.5164v22012
Key Points Estimation and Point Instance Segmentation Approach for Lane Detection
Yeongmin Ko, Younkwan Lee, Shoaib Azam +3
cs.CVcs.LGeess.IVarXiv:2002.06604v42020
The ARM Scalable Vector Extension
Nigel Stephens, Stuart Biles, Matthias Boettcher +10
cs.ARcs.PFarXiv:1803.06185v12018
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

Every paper with a summary

Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows

Physics-informed neural network for ultrasound nondestructive quantification of surface breaking cracks

Integrated optical multi-ion quantum logic

Precision Health Data: Requirements, Challenges and Existing Techniques for Data Security and Privacy

Computing prime factors with a Josephson phase qubit quantum processor

Graph-based Semi-supervised Learning: A Comprehensive Review

A Crowdsourcing Framework for On-Device Federated Learning

CS2-Net: Deep Learning Segmentation of Curvilinear Structures in Medical Imaging

Fault Location in Power Distribution Systems via Deep Graph Convolutional Networks

Rules of the Road: Predicting Driving Behavior with a Convolutional Model of Semantic Interactions

DeepPET: A deep encoder-decoder network for directly solving the PET reconstruction inverse problem

Mathematical frameworks for oscillatory network dynamics in neuroscience

DriveMLM: Aligning Multi-Modal Large Language Models with Behavioral Planning States for Autonomous Driving

Neural Face Editing with Intrinsic Image Disentangling

Deep Reinforcement Learning meets Graph Neural Networks: exploring a routing optimization use case

Sensing as a Service in 6G Perceptive Networks: A Unified Framework for ISAC Resource Allocation

Newton Sketch: A Linear-time Optimization Algorithm with Linear-Quadratic Convergence

AppWorld: A Controllable World of Apps and People for Benchmarking Interactive Coding Agents

Agent Hospital: A Simulacrum of Hospital with Evolvable Medical Agents

State Evolution for General Approximate Message Passing Algorithms, with Applications to Spatial Coupling

Key Points Estimation and Point Instance Segmentation Approach for Lane Detection

The ARM Scalable Vector Extension

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