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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26,581 to 26,640 of 61,306

HorizonNet: Learning Room Layout with 1D Representation and Pano Stretch Data Augmentation
Cheng Sun, Chi-Wei Hsiao, Min Sun +1
cs.CVarXiv:1901.03861v22019
OVANet: One-vs-All Network for Universal Domain Adaptation
Kuniaki Saito, Kate Saenko
cs.CVarXiv:2104.03344v42021
Entropy and mutual information in models of deep neural networks
Marylou Gabrié, Andre Manoel, Clément Luneau +4
cs.LGcond-mat.dis-nncs.ITarXiv:1805.09785v22018
Combining GHOST and Casper
Vitalik Buterin, Diego Hernandez, Thor Kamphefner +6
cs.CRarXiv:2003.03052v32020
Edge Computing For Smart Health: Context-aware Approaches, Opportunities, and Challenges
Alaa Awad Abdellatif, Amr Mohamed, Carla Fabiana Chiasserini +2
eess.SPcs.CYcs.NIarXiv:2004.07311v12020
ExBind: A Controlled Diagnostic Benchmark for Visual-to-Executable Correspondence
Ziqian Wang, Yuxiao Cheng, Tingxiong Xiao +1
cs.CVarXiv:2609.01344v12026
Partial Is Better Than All: Revisiting Fine-tuning Strategy for Few-shot Learning
Zhiqiang Shen, Zechun Liu, Jie Qin +2
cs.CVcs.AIcs.LGarXiv:2102.03983v12021
Panoptic NeRF: 3D-to-2D Label Transfer for Panoptic Urban Scene Segmentation
Xiao Fu, Shangzhan Zhang, Tianrun Chen +5
cs.CVarXiv:2203.15224v22022
Sabbath Day Home Automation: "It's Like Mixing Technology and Religion"
Allison Woodruff, Sally Augustin, Brooke Foucault
cs.HCarXiv:0704.3643v12007
Efficiently Estimating Optimal Hyperparameter Scaling Laws through Power-Law Entropy Search
Zhiliang Chen, Sebastian Ament, David Eriksson +4
cs.LGcs.AIarXiv:2609.01431v22026
Model order reduction methods for geometrically nonlinear structures: a review of nonlinear techniques
Cyril Touzé, Alessandra Vizzaccaro, Olivier Thomas
math.NAmath.DSarXiv:2107.05077v12021
Simulating Classroom Education with LLM-Empowered Agents
Zheyuan Zhang, Daniel Zhang-Li, Jifan Yu +9
cs.CLcs.HCarXiv:2406.19226v22024
CARE: Contrastive Anchor-based Rubric Evolution for Large Language Model Post-Training
Siyuan Li, Xinxin Song, Chen Ruinian +5
cs.AIarXiv:2609.00892v12026
Strengths and Weaknesses of Deep Learning Models for Face Recognition Against Image Degradations
Klemen Grm, Vitomir Štruc, Anais Artiges +2
stat.MLarXiv:1710.01494v12017
TAPVid-MV: A Benchmark for Tracking Any Point in 3D Across Multiple Views
Skanda Koppula, Frano Rajic, Abdullah Faiz Ur Rahman +9
cs.CVarXiv:2609.01899v12026
Real- and imaginary-time evolution with compressed quantum circuits
Sheng-Hsuan Lin, Rohit Dilip, Andrew G. Green +2
quant-phcond-mat.mes-hallcond-mat.str-elarXiv:2008.10322v22020
Fourier Space Losses for Efficient Perceptual Image Super-Resolution
Dario Fuoli, Luc Van Gool, Radu Timofte
eess.IVcs.CVarXiv:2106.00783v12021
Big Data Meet Cyber-Physical Systems: A Panoramic Survey
Rachad Atat, Lingjia Liu, Jinsong Wu +3
cs.LGstat.MLarXiv:1810.12399v12018
Deep Learning for Human Affect Recognition: Insights and New Developments
Philipp V. Rouast, Marc T. P. Adam, Raymond Chiong
cs.LGcs.AIcs.CVarXiv:1901.02884v12019
Reinforcement Learning on Variable Impedance Controller for High-Precision Robotic Assembly
Jianlan Luo, Eugen Solowjow, Chengtao Wen +4
cs.ROarXiv:1903.01066v22019
A Survey of Deep Learning for Mathematical Reasoning
Pan Lu, Liang Qiu, Wenhao Yu +2
cs.AIcs.CLcs.CVarXiv:2212.10535v22022
Lightweight Interpretable RGB-Guided Hyperspectral Super-Resolution under Real Cross-resolution Misalignment
Mohamad Jouni, Aurélien Godet, Mauro Dalla Mura
eess.IVcs.CVarXiv:2609.01060v12026
Cognitive Psychology for Deep Neural Networks: A Shape Bias Case Study
Samuel Ritter, David G. T. Barrett, Adam Santoro +1
stat.MLcs.CVcs.LGarXiv:1706.08606v22017
Could a Large Language Model be Conscious?
David J. Chalmers
cs.AIcs.CLcs.LGarXiv:2303.07103v32023
UAV Thermal Imagery for Inert Ordnance Screening: Multi Campaign Dataset Development,Object Detection, and Practical Recommendations
Chad Melton, PhD., Annabelle Kelton
cs.CVcs.DBarXiv:2609.01738v12026
Deep Learning-Based Anomaly Detection in Cyber-Physical Systems: Progress and Opportunities
Yuan Luo, Ya Xiao, Long Cheng +2
cs.CReess.SParXiv:2003.13213v22020
High order exactly divergence-free Hybrid Discontinuous Galerkin Methods for unsteady incompressible flows
Christoph Lehrenfeld, Joachim Schöberl
math.NAcs.CEarXiv:1508.04245v22015
Loss Aware Post-training Quantization
Yury Nahshan, Brian Chmiel, Chaim Baskin +4
cs.LGcs.CVarXiv:1911.07190v22019
Automated Repair of Programs from Large Language Models
Zhiyu Fan, Xiang Gao, Martin Mirchev +2
cs.SEarXiv:2205.10583v42022
Efficient Computation of the Shapley Value for Game-Theoretic Network Centrality
Tomasz Pawel Michalak, Karthik V Aadithya, Piotr L. Szczepanski +2
cs.GTarXiv:1402.0567v12014
Artificial muses: Generative Artificial Intelligence Chatbots Have Risen to Human-Level Creativity
Jennifer Haase, Paul H. P. Hanel
cs.AIcs.HCarXiv:2303.12003v12023
Learning Neural Templates for Text Generation
Sam Wiseman, Stuart M. Shieber, Alexander M. Rush
cs.CLcs.LGarXiv:1808.10122v32018
One-pass Multi-task Networks with Cross-task Guided Attention for Brain Tumor Segmentation
Chenhong Zhou, Changxing Ding, Xinchao Wang +2
cs.CVcs.AIcs.LGarXiv:1906.01796v22019
Puffin-World: Scaling a Unified Multimodal Model with Native 3D World States
Kang Liao, Yihang Luo, Xiao-Ming Wu +7
cs.CVarXiv:2609.04196v12026
Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for Problem-Solving with Language Models
Yangzhen Wu, Zhiqing Sun, Shanda Li +2
cs.AIarXiv:2408.00724v32024
Solving the Incompressible Navier-Stokes Equations on Oriented Curved Surfaces Discretized by Point Clouds
Alejandra Foggia, Ivo F. Sbalzarini
math.NAcs.CEphysics.comp-pharXiv:2609.00216v12026
False Discoveries Occur Early on the Lasso Path
Weijie Su, Malgorzata Bogdan, Emmanuel Candes
math.STcs.ITstat.MLarXiv:1511.01957v42015
An Empirical Study on Robustness to Spurious Correlations using Pre-trained Language Models
Lifu Tu, Garima Lalwani, Spandana Gella +1
cs.CLcs.LGarXiv:2007.06778v32020
Counterfactual Memorization in Neural Language Models
Chiyuan Zhang, Daphne Ippolito, Katherine Lee +3
cs.CLcs.AIcs.LGarXiv:2112.12938v22021
A Simple Exponential Family Framework for Zero-Shot Learning
Vinay Kumar Verma, Piyush Rai
cs.LGcs.CVstat.MLarXiv:1707.08040v32017
ISAC from the Sky: UAV Trajectory Design for Joint Communication and Target Localization
Xiaoye Jing, Fan Liu, Christos Masouros +1
eess.SYcs.ITarXiv:2207.02904v12022
Ultra Fast Deep Lane Detection with Hybrid Anchor Driven Ordinal Classification
Zequn Qin, Pengyi Zhang, Xi Li
cs.CVarXiv:2206.07389v12022
Why Does Surprisal From Larger Transformer-Based Language Models Provide a Poorer Fit to Human Reading Times?
Byung-Doh Oh, William Schuler
cs.CLarXiv:2212.12131v12022
Depthwise Convolution is All You Need for Learning Multiple Visual Domains
Yunhui Guo, Yandong Li, Rogerio Feris +2
cs.CVarXiv:1902.00927v22019
eMBB-URLLC Resource Slicing: A Risk-Sensitive Approach
Madyan Alsenwi, Nguyen H. Tran, Mehdi Bennis +2
cs.NIarXiv:1902.01648v12019
Low-Complexity Control Under Input Saturation and Performance Constraints: A Bidirectional Modification Scheme
Jinyu Ni, Xiucai Huang, George A. Rovithakis +1
eess.SYarXiv:2609.00827v12026
Trapezoidal methods for fractional differential equations: theoretical and computational aspects
Roberto Garrappa
math.NAarXiv:1912.09878v12019
Lower Bounds for Sparse Recovery
Khanh Do Ba, Piotr Indyk, Eric Price +1
cs.DScs.ITarXiv:1106.0365v22011
Breaking Cycles for Scalable Fair Ordering in Blockchain Systems
Jinchun He, Wangjie Qiu, Yizhong Liu +2
cs.DCarXiv:2609.00837v12026
Characterizing and modeling citation dynamics
Young-Ho Eom, Santo Fortunato
physics.soc-phcs.DLcs.SIarXiv:1110.2153v12011
Embodied Question Answering in Photorealistic Environments with Point Cloud Perception
Erik Wijmans, Samyak Datta, Oleksandr Maksymets +6
cs.CVcs.AIcs.CLarXiv:1904.03461v12019
The Ingredients of Real-World Robotic Reinforcement Learning
Henry Zhu, Justin Yu, Abhishek Gupta +5
cs.LGcs.ROstat.MLarXiv:2004.12570v12020
Fine-Tuning and Training of DenseNet for Histopathology Image Representation Using TCGA Diagnostic Slides
Abtin Riasatian, Morteza Babaie, Danial Maleki +19
eess.IVarXiv:2101.07903v12021
Pushing Large Language Models to the 6G Edge: Vision, Challenges, and Opportunities
Zheng Lin, Guanqiao Qu, Qiyuan Chen +3
cs.LGcs.AIarXiv:2309.16739v42023
Efficient Guided Generation for Large Language Models
Brandon T. Willard, Rémi Louf
cs.CLcs.LGarXiv:2307.09702v42023
Hearing the Whispers: Black-Box Membership Inference Attacks on Finetuned TTS Models
Kunlin Cai, Kaiyuan Zhang, Zihang Xiang +4
cs.CRcs.LGcs.SDarXiv:2609.01723v12026
Parallel and Distributed Thompson Sampling for Large-scale Accelerated Exploration of Chemical Space
José Miguel Hernández-Lobato, James Requeima, Edward O. Pyzer-Knapp +1
stat.MLarXiv:1706.01825v12017
Multi-Agent Reinforcement Learning for Active Voltage Control on Power Distribution Networks
Jianhong Wang, Wangkun Xu, Yunjie Gu +2
cs.LGcs.MAarXiv:2110.14300v52021
Don't forget, there is more than forgetting: new metrics for Continual Learning
Natalia Díaz-Rodríguez, Vincenzo Lomonaco, David Filliat +1
cs.AIcs.CVcs.LGarXiv:1810.13166v12018
FMore: An Incentive Scheme of Multi-dimensional Auction for Federated Learning in MEC
Rongfei Zeng, Shixun Zhang, Jiaqi Wang +1
cs.LGcs.GTstat.MLarXiv:2002.09699v12020

Every paper with a summary

HorizonNet: Learning Room Layout with 1D Representation and Pano Stretch Data Augmentation

OVANet: One-vs-All Network for Universal Domain Adaptation

Entropy and mutual information in models of deep neural networks

Combining GHOST and Casper

Edge Computing For Smart Health: Context-aware Approaches, Opportunities, and Challenges

ExBind: A Controlled Diagnostic Benchmark for Visual-to-Executable Correspondence

Partial Is Better Than All: Revisiting Fine-tuning Strategy for Few-shot Learning

Panoptic NeRF: 3D-to-2D Label Transfer for Panoptic Urban Scene Segmentation

Sabbath Day Home Automation: "It's Like Mixing Technology and Religion"

Efficiently Estimating Optimal Hyperparameter Scaling Laws through Power-Law Entropy Search

Model order reduction methods for geometrically nonlinear structures: a review of nonlinear techniques

Simulating Classroom Education with LLM-Empowered Agents

CARE: Contrastive Anchor-based Rubric Evolution for Large Language Model Post-Training

Strengths and Weaknesses of Deep Learning Models for Face Recognition Against Image Degradations

TAPVid-MV: A Benchmark for Tracking Any Point in 3D Across Multiple Views

Real- and imaginary-time evolution with compressed quantum circuits

Fourier Space Losses for Efficient Perceptual Image Super-Resolution

Big Data Meet Cyber-Physical Systems: A Panoramic Survey

Deep Learning for Human Affect Recognition: Insights and New Developments

Reinforcement Learning on Variable Impedance Controller for High-Precision Robotic Assembly

A Survey of Deep Learning for Mathematical Reasoning

Lightweight Interpretable RGB-Guided Hyperspectral Super-Resolution under Real Cross-resolution Misalignment

Cognitive Psychology for Deep Neural Networks: A Shape Bias Case Study

Could a Large Language Model be Conscious?

UAV Thermal Imagery for Inert Ordnance Screening: Multi Campaign Dataset Development,Object Detection, and Practical Recommendations

Deep Learning-Based Anomaly Detection in Cyber-Physical Systems: Progress and Opportunities

High order exactly divergence-free Hybrid Discontinuous Galerkin Methods for unsteady incompressible flows

Loss Aware Post-training Quantization

Automated Repair of Programs from Large Language Models

Efficient Computation of the Shapley Value for Game-Theoretic Network Centrality

Artificial muses: Generative Artificial Intelligence Chatbots Have Risen to Human-Level Creativity

Learning Neural Templates for Text Generation

One-pass Multi-task Networks with Cross-task Guided Attention for Brain Tumor Segmentation

Puffin-World: Scaling a Unified Multimodal Model with Native 3D World States

Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for Problem-Solving with Language Models

Solving the Incompressible Navier-Stokes Equations on Oriented Curved Surfaces Discretized by Point Clouds

False Discoveries Occur Early on the Lasso Path

An Empirical Study on Robustness to Spurious Correlations using Pre-trained Language Models

Counterfactual Memorization in Neural Language Models

A Simple Exponential Family Framework for Zero-Shot Learning

ISAC from the Sky: UAV Trajectory Design for Joint Communication and Target Localization

Ultra Fast Deep Lane Detection with Hybrid Anchor Driven Ordinal Classification

Why Does Surprisal From Larger Transformer-Based Language Models Provide a Poorer Fit to Human Reading Times?

Depthwise Convolution is All You Need for Learning Multiple Visual Domains

eMBB-URLLC Resource Slicing: A Risk-Sensitive Approach

Low-Complexity Control Under Input Saturation and Performance Constraints: A Bidirectional Modification Scheme

Trapezoidal methods for fractional differential equations: theoretical and computational aspects

Lower Bounds for Sparse Recovery

Breaking Cycles for Scalable Fair Ordering in Blockchain Systems

Characterizing and modeling citation dynamics

Embodied Question Answering in Photorealistic Environments with Point Cloud Perception

The Ingredients of Real-World Robotic Reinforcement Learning

Fine-Tuning and Training of DenseNet for Histopathology Image Representation Using TCGA Diagnostic Slides

Pushing Large Language Models to the 6G Edge: Vision, Challenges, and Opportunities

Efficient Guided Generation for Large Language Models

Hearing the Whispers: Black-Box Membership Inference Attacks on Finetuned TTS Models

Parallel and Distributed Thompson Sampling for Large-scale Accelerated Exploration of Chemical Space

Multi-Agent Reinforcement Learning for Active Voltage Control on Power Distribution Networks

Don't forget, there is more than forgetting: new metrics for Continual Learning

FMore: An Incentive Scheme of Multi-dimensional Auction for Federated Learning in MEC