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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3,841 to 3,900 of 61,271

Event Enhanced High-Quality Image Recovery
Bishan Wang, Jingwei He, Lei Yu +2
cs.CVarXiv:2007.08336v12020
Paint3D: Paint Anything 3D with Lighting-Less Texture Diffusion Models
Xianfang Zeng, Xin Chen, Zhongqi Qi +6
cs.CVarXiv:2312.13913v22023
KQA Pro: A Dataset with Explicit Compositional Programs for Complex Question Answering over Knowledge Base
Shulin Cao, Jiaxin Shi, Liangming Pan +6
cs.CLarXiv:2007.03875v42020
Plan-on-Graph: Self-Correcting Adaptive Planning of Large Language Model on Knowledge Graphs
Liyi Chen, Panrong Tong, Zhongming Jin +3
cs.AIarXiv:2410.23875v12024
Faster ILOD: Incremental Learning for Object Detectors based on Faster RCNN
Can Peng, Kun Zhao, Brian C. Lovell
cs.CVarXiv:2003.03901v22020
Collective behaviours: from biochemical kinetics to electronic circuits
Elena Agliari, Adriano Barra, Raffaella Burioni +2
cond-mat.stat-mecharXiv:1311.6031v12013
Pedestrian flows in bounded domains with obstacles
Benedetto Piccoli, Andrea Tosin
math-phphysics.soc-pharXiv:0812.4390v12008
Mapping the global design space of nanophotonic components using machine learning pattern recognition
Daniele Melati, Yuri Grinberg, Mohsen Kamandar Dezfouli +5
physics.app-phphysics.opticsarXiv:1811.01048v32018
Typilus: Neural Type Hints
Miltiadis Allamanis, Earl T. Barr, Soline Ducousso +1
cs.PLcs.LGstat.MLarXiv:2004.10657v12020
Suppressing disease spreading by using information diffusion on multiplex networks
Wei Wang, Quan-Hui Liu, Shi-Min Cai +3
physics.soc-pharXiv:1604.01644v22016
Data-driven Local Control Design using Optimization and Machine Learning Techniques
Stavros Karagiannopoulos, Petros Aristidou, Gabriela Hug
math.OCarXiv:1808.01009v22018
Real Time Dynamics and Confinement in the $\mathbb{Z}_{n}$ Schwinger-Weyl lattice model for 1+1 QED
Giuseppe Magnifico, Marcello Dalmonte, Paolo Facchi +3
quant-phcond-mat.str-elhep-latarXiv:1909.04821v52019
MUC-FL: Block-Wise Marginal Utility Contribution for Communication-Efficient Federated Learning
Akshay Mhatre, Vikram Karthick, Deepti Gupta +1
cs.DCcs.LGarXiv:2609.10545v12026
Increasing Generality in Machine Learning through Procedural Content Generation
Sebastian Risi, Julian Togelius
cs.AIarXiv:1911.13071v22019
Spatiotemporal Data Mining: A Survey on Challenges and Open Problems
Ali Hamdi, Khaled Shaban, Abdelkarim Erradi +3
cs.LGcs.DBarXiv:2103.17128v12021
QMCPACK: Advances in the development, efficiency, and application of auxiliary field and real-space variational and diffusion Quantum Monte Carlo
P. R. C. Kent, Abdulgani Annaberdiyev, Anouar Benali +21
physics.comp-pharXiv:2003.01831v22020
Dexterous Imitation Made Easy: A Learning-Based Framework for Efficient Dexterous Manipulation
Sridhar Pandian Arunachalam, Sneha Silwal, Ben Evans +1
cs.ROcs.AIcs.CVarXiv:2203.13251v12022
Hallucination Detection: Robustly Discerning Reliable Answers in Large Language Models
Yuyan Chen, Qiang Fu, Yichen Yuan +6
cs.CLcs.AIarXiv:2407.04121v12024
Stable Language Guidance for Vision-Language-Action Models
Zhihao Zhan, Yuhao Chen, Jiaying Zhou +5
cs.ROcs.CLarXiv:2601.04052v22026
Quantum speed limit for arbitrary initial states
Yingjie Zhang, Wei Han, Yunjie Xia +2
quant-pharXiv:1312.5071v12013
Performance-oriented model learning for data-driven MPC design
Dario Piga, Marco Forgione, Simone Formentin +1
math.OCarXiv:1904.10839v12019
Model-Free Quantum Control with Reinforcement Learning
V. V. Sivak, A. Eickbusch, H. Liu +3
quant-pharXiv:2104.14539v22021
Reconfigurable Intelligent Surface (RIS) Aided Multi-User Networks: Interplay Between NOMA and RIS
Yuanwei Liu, Xidong Mu, Xiao Liu +3
cs.ITeess.SParXiv:2011.13336v22020
GLocalX -- From Local to Global Explanations of Black Box AI Models
Mattia Setzu, Riccardo Guidotti, Anna Monreale +3
cs.LGcs.AIarXiv:2101.07685v22021
CausalArena: Benchmarking Causal Discovery in the Foundation Model Era
Zi-Rong Li, Si-Yang Liu, Tian-Zuo Wang +1
cs.LGarXiv:2609.11897v12026
CoRA-NAS: Coarse Ranking and Anchor-Residual Refinement for Neural Architecture Search
Yifan Yang, Zhaoyan Wang, Zheng Gao +2
cs.LGcs.CVarXiv:2609.11884v12026
Integrated Sensing and Communications with Reconfigurable Intelligent Surfaces
Sundeep Prabhakar Chepuri, Nir Shlezinger, Fan Liu +3
eess.SParXiv:2211.01003v12022
A Comprehensive Survey on Relation Extraction: Recent Advances and New Frontiers
Xiaoyan Zhao, Yang Deng, Min Yang +6
cs.CLcs.AIarXiv:2306.02051v32023
Optimal Power Allocation for Outage Minimization in Fading Channels with Energy Harvesting Constraints
Chuan Huang, Rui Zhang, Shuguang Cui
cs.NIcs.PFarXiv:1212.0075v22012
Summaries:한국어
Curvature-Aware Optimization for High-Accuracy Physics-Informed Neural Networks
Anas Jnini, Elham Kiyani, Khemraj Shukla +5
cs.LGcs.AImath.NAarXiv:2604.05230v12026
Energy Efficient User Clustering, Hybrid Precoding and Power Optimization in Terahertz MIMO-NOMA Systems
Haijun Zhang, Haisen Zhang, Wei liu +3
eess.SParXiv:2005.01053v12020
Thinking with Looped Flows
Ayhan Suleymanzade, Chanhyuk Lee, Floor Eijkelboom +3
cs.LGcs.AIarXiv:2609.11801v12026
Improving Tag-Clouds as Visual Information Retrieval Interfaces
Yusef Hassan-Montero, Victor Herrero-Solana
cs.IRarXiv:2401.04947v12024
Combining data assimilation and machine learning to infer unresolved scale parametrisation
Julien Brajard, Alberto Carrassi, Marc Bocquet +1
physics.comp-phstat.MLarXiv:2009.04318v22020
Tracking mm-Wave Channel Dynamics: Fast Beam Training Strategies under Mobility
Joan Palacios, Danilo De Donno, Joerg Widmer
cs.NIarXiv:1612.07957v12016
AdamX: Cosine similarity meets gradient descent
Francisco Caldas, Ruben Belo, Cláudia Soares
cs.LGmath.OCarXiv:2609.11867v12026
AI Poincaré: Machine Learning Conservation Laws from Trajectories
Ziming Liu, Max Tegmark
cs.LGastro-ph.EPnlin.SIarXiv:2011.04698v22020
The Limitations of Stylometry for Detecting Machine-Generated Fake News
Tal Schuster, Roei Schuster, Darsh J Shah +1
cs.CLcs.CYarXiv:1908.09805v22019
Active learning of reactive Bayesian force fields: Application to heterogeneous hydrogen-platinum catalysis dynamics
Jonathan Vandermause, Yu Xie, Jin Soo Lim +2
cond-mat.mtrl-sciphysics.comp-pharXiv:2106.01949v12021
Data Augmentation in Natural Language Processing: A Novel Text Generation Approach for Long and Short Text Classifiers
Markus Bayer, Marc-André Kaufhold, Björn Buchhold +3
cs.CLcs.AIarXiv:2103.14453v22021
Neuroevolution in Games: State of the Art and Open Challenges
Sebastian Risi, Julian Togelius
cs.NEarXiv:1410.7326v32014
DDP-GCN: Multi-Graph Convolutional Network for Spatiotemporal Traffic Forecasting
Kyungeun Lee, Wonjong Rhee
cs.LGeess.SParXiv:1905.12256v32019
Learnware and AI Model Management System
Zhi-Hua Zhou
cs.LGarXiv:2609.11656v12026
Auto-Encoder Guided GAN for Chinese Calligraphy Synthesis
Pengyuan Lyu, Xiang Bai, Cong Yao +3
cs.CVarXiv:1706.08789v12017
Practical Blind Membership Inference Attack via Differential Comparisons
Bo Hui, Yuchen Yang, Haolin Yuan +3
cs.CRcs.LGarXiv:2101.01341v22021
Fully-automated Body Composition Analysis in Routine CT Imaging Using 3D Semantic Segmentation Convolutional Neural Networks
Sven Koitka, Lennard Kroll, Eugen Malamutmann +2
eess.IVcs.CVarXiv:2002.10776v12020
Deep Learning for Micro-expression Recognition: A Survey
Yante Li, Jinsheng Wei, Yang Liu +2
cs.CVcs.HCarXiv:2107.02823v52021
Practical continuous-variable quantum key distribution with composable security
Nitin Jain, Hou-Man Chin, Hossein Mani +10
quant-pharXiv:2110.09262v12021
Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting Pot
Joel Z. Leibo, Edgar Duéñez-Guzmán, Alexander Sasha Vezhnevets +7
cs.MAcs.AIarXiv:2107.06857v12021
AugMax: Adversarial Composition of Random Augmentations for Robust Training
Haotao Wang, Chaowei Xiao, Jean Kossaifi +3
cs.CVcs.LGarXiv:2110.13771v32021
What Formal Languages Can Transformers Express? A Survey
Lena Strobl, William Merrill, Gail Weiss +2
cs.LGcs.CLcs.FLarXiv:2311.00208v32023
Benchmark Data Contamination of Large Language Models: A Survey
Cheng Xu, Shuhao Guan, Derek Greene +1
cs.CLarXiv:2406.04244v12024
Theoretical Comparisons of Positive-Unlabeled Learning against Positive-Negative Learning
Gang Niu, Marthinus Christoffel du Plessis, Tomoya Sakai +2
cs.LGstat.MLarXiv:1603.03130v32016
Mapping multiplex hubs in human functional brain network
Manlio De Domenico, Shuntaro Sasai, Alex Arenas
q-bio.NCcond-mat.dis-nnphysics.bio-pharXiv:1603.05897v12016
Model-Aware Schedules Improve Generation via Fiberwise Optimal Transport
Luyi Jia, Boyan Zhang, Yilun Liu +1
cs.LGcs.AIarXiv:2609.11842v12026
Optically lightweight tracking of objects around a corner
Jonathan Klein, Christoph Peters, Jaime Martín +2
cs.CVcs.GRphysics.opticsarXiv:1606.01873v12016
DeepQA: Improving the estimation of single protein model quality with deep belief networks
Renzhi Cao, Debswapna Bhattacharya, Jie Hou +1
cs.AIcs.LGq-bio.QMarXiv:1607.04379v12016
APEX-MEM: Agentic Semi-Structured Memory with Temporal Reasoning for Long-Term Conversational AI
Pratyay Banerjee, Masud Moshtaghi, Shivashankar Subramanian +2
cs.CLcs.AIcs.IRarXiv:2604.14362v12026
Segmentation-Aware Convolutional Networks Using Local Attention Masks
Adam W. Harley, Konstantinos G. Derpanis, Iasonas Kokkinos
cs.CVarXiv:1708.04607v12017
Dynamic language model representations for multi-objective reaction optimisation
Joshua W. Sin, David Ming Segura, Bojana Ranković +8
cs.LGarXiv:2609.11790v12026

Every paper with a summary

Event Enhanced High-Quality Image Recovery

Paint3D: Paint Anything 3D with Lighting-Less Texture Diffusion Models

KQA Pro: A Dataset with Explicit Compositional Programs for Complex Question Answering over Knowledge Base

Plan-on-Graph: Self-Correcting Adaptive Planning of Large Language Model on Knowledge Graphs

Faster ILOD: Incremental Learning for Object Detectors based on Faster RCNN

Collective behaviours: from biochemical kinetics to electronic circuits

Pedestrian flows in bounded domains with obstacles

Mapping the global design space of nanophotonic components using machine learning pattern recognition

Typilus: Neural Type Hints

Suppressing disease spreading by using information diffusion on multiplex networks

Data-driven Local Control Design using Optimization and Machine Learning Techniques

Real Time Dynamics and Confinement in the $\mathbb{Z}_{n}$ Schwinger-Weyl lattice model for 1+1 QED

MUC-FL: Block-Wise Marginal Utility Contribution for Communication-Efficient Federated Learning

Increasing Generality in Machine Learning through Procedural Content Generation

Spatiotemporal Data Mining: A Survey on Challenges and Open Problems

QMCPACK: Advances in the development, efficiency, and application of auxiliary field and real-space variational and diffusion Quantum Monte Carlo

Dexterous Imitation Made Easy: A Learning-Based Framework for Efficient Dexterous Manipulation

Hallucination Detection: Robustly Discerning Reliable Answers in Large Language Models

Stable Language Guidance for Vision-Language-Action Models

Quantum speed limit for arbitrary initial states

Performance-oriented model learning for data-driven MPC design

Model-Free Quantum Control with Reinforcement Learning

Reconfigurable Intelligent Surface (RIS) Aided Multi-User Networks: Interplay Between NOMA and RIS

GLocalX -- From Local to Global Explanations of Black Box AI Models

CausalArena: Benchmarking Causal Discovery in the Foundation Model Era

CoRA-NAS: Coarse Ranking and Anchor-Residual Refinement for Neural Architecture Search

Integrated Sensing and Communications with Reconfigurable Intelligent Surfaces

A Comprehensive Survey on Relation Extraction: Recent Advances and New Frontiers

Optimal Power Allocation for Outage Minimization in Fading Channels with Energy Harvesting Constraints

Curvature-Aware Optimization for High-Accuracy Physics-Informed Neural Networks

Energy Efficient User Clustering, Hybrid Precoding and Power Optimization in Terahertz MIMO-NOMA Systems

Thinking with Looped Flows

Improving Tag-Clouds as Visual Information Retrieval Interfaces

Combining data assimilation and machine learning to infer unresolved scale parametrisation

Tracking mm-Wave Channel Dynamics: Fast Beam Training Strategies under Mobility

AdamX: Cosine similarity meets gradient descent

AI Poincaré: Machine Learning Conservation Laws from Trajectories

The Limitations of Stylometry for Detecting Machine-Generated Fake News

Active learning of reactive Bayesian force fields: Application to heterogeneous hydrogen-platinum catalysis dynamics

Data Augmentation in Natural Language Processing: A Novel Text Generation Approach for Long and Short Text Classifiers

Neuroevolution in Games: State of the Art and Open Challenges

DDP-GCN: Multi-Graph Convolutional Network for Spatiotemporal Traffic Forecasting

Learnware and AI Model Management System

Auto-Encoder Guided GAN for Chinese Calligraphy Synthesis

Practical Blind Membership Inference Attack via Differential Comparisons

Fully-automated Body Composition Analysis in Routine CT Imaging Using 3D Semantic Segmentation Convolutional Neural Networks

Deep Learning for Micro-expression Recognition: A Survey

Practical continuous-variable quantum key distribution with composable security

Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting Pot

AugMax: Adversarial Composition of Random Augmentations for Robust Training

What Formal Languages Can Transformers Express? A Survey

Benchmark Data Contamination of Large Language Models: A Survey

Theoretical Comparisons of Positive-Unlabeled Learning against Positive-Negative Learning

Mapping multiplex hubs in human functional brain network

Model-Aware Schedules Improve Generation via Fiberwise Optimal Transport

Optically lightweight tracking of objects around a corner

DeepQA: Improving the estimation of single protein model quality with deep belief networks

APEX-MEM: Agentic Semi-Structured Memory with Temporal Reasoning for Long-Term Conversational AI

Segmentation-Aware Convolutional Networks Using Local Attention Masks

Dynamic language model representations for multi-objective reaction optimisation