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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3,961 to 4,020 of 61,259

Reification as a Transferable Vocabulary: Zero-Shot Link Prediction with Vanilla GNNs
Camille Pradel
cs.LGcs.AIarXiv:2609.11347v12026
SiamAPN++: Siamese Attentional Aggregation Network for Real-Time UAV Tracking
Ziang Cao, Changhong Fu, Junjie Ye +2
cs.CVarXiv:2106.08816v22021
Pretrained Language Models for Sequential Sentence Classification
Arman Cohan, Iz Beltagy, Daniel King +2
cs.CLarXiv:1909.04054v22019
Topic Modeling with Wasserstein Autoencoders
Feng Nan, Ran Ding, Ramesh Nallapati +1
cs.IRcs.AIcs.LGarXiv:1907.12374v22019
Sharper bounds for uniformly stable algorithms
Olivier Bousquet, Yegor Klochkov, Nikita Zhivotovskiy
cs.LGmath.PRstat.MLarXiv:1910.07833v22019
Estimating Inconsistency Response Surfaces under Uncertainty in Cyber-Physical System Development
Johannes Mäkelburg, Tim Schwabe, Maribel Acosta
cs.LGcs.SEeess.SYarXiv:2609.11331v12026
A Survey on Graph-Based Deep Learning for Computational Histopathology
David Ahmedt-Aristizabal, Mohammad Ali Armin, Simon Denman +2
cs.LGcs.CVq-bio.TOarXiv:2107.00272v22021
An Empirical Study of DeFi Liquidations: Incentives, Risks, and Instabilities
Kaihua Qin, Liyi Zhou, Pablo Gamito +2
q-fin.GNcs.CRarXiv:2106.06389v22021
Physics-informed Convolutional Neural Networks for Temperature Field Prediction of Heat Source Layout without Labeled Data
Xiaoyu Zhao, Zhiqiang Gong, Yunyang Zhang +2
cs.LGcs.AIarXiv:2109.12482v12021
AB-UPT: Scaling Neural CFD Surrogates for High-Fidelity Automotive Aerodynamics Simulations via Anchored-Branched Universal Physics Transformers
Benedikt Alkin, Maurits Bleeker, Richard Kurle +4
cs.LGcs.AIarXiv:2502.09692v42025
Models of quantum complexity growth
Fernando G. S. L. Brandão, Wissam Chemissany, Nicholas Hunter-Jones +2
hep-thcond-mat.str-elquant-pharXiv:1912.04297v12019
MiMo-VL Technical Report
Xiaomi LLM-Core Team, :, Zihao Yue +72
cs.CLarXiv:2506.03569v12025
Solving Few-Shot Multiobjective Multitask Optimization via Iterative Sequential Transfer
Tingyang Wei, Haofeng Wu, Ananda Phan Iman +3
cs.LGcs.AIcs.NEarXiv:2609.11228v12026
wav2vec: Unsupervised Pre-training for Speech Recognition
Steffen Schneider, Alexei Baevski, Ronan Collobert +1
cs.CLarXiv:1904.05862v42019
InfiniPot-V: Memory-Constrained KV Cache Compression for Streaming Video Understanding
Minsoo Kim, Kyuhong Shim, Jungwook Choi +1
eess.IVcs.LGarXiv:2506.15745v22025
Polyhedral Geometry of Time-to-First-Spike Neural Networks
Manjot Singh, Guido Montúfar, Gitta Kutyniok
cs.LGmath.COarXiv:2609.11227v12026
Summaries:한국어
Accelerated High-Resolution Photoacoustic Tomography via Compressed Sensing
Simon Arridge, Paul Beard, Marta Betcke +5
math.NAphysics.med-pharXiv:1605.00133v32016
Hamiltonian Monte Carlo Methods for Subset Simulation in Reliability Analysis
Ziqi Wang, Marco Broccardo, Junho Song
stat.COarXiv:1706.01435v22017
Synthetic CT Generation from MRI using 3D Transformer-based Denoising Diffusion Model
Shaoyan Pan, Elham Abouei, Jacob Wynne +10
eess.IVcs.CVarXiv:2305.19467v12023
A nucleotide-level coarse-grained model of RNA
Petr Šulc, Flavio Romano, Thomas E. Ouldridge +2
physics.bio-phcond-mat.softphysics.chem-pharXiv:1403.4180v12014
GAMERA: A three-dimensional finite-volume MHD solver for non-orthogonal curvilinear geometries
Binzheng Zhang, Kareem A. Sorathia, John G. Lyon +3
physics.comp-phphysics.space-pharXiv:1810.10861v22018
Digitization of Scalar Fields for Quantum Computing
Natalie Klco, Martin J. Savage
quant-phhep-lathep-pharXiv:1808.10378v22018
Joint Weakly and Semi-Supervised Deep Learning for Localization and Classification of Masses in Breast Ultrasound Images
Seung Yeon Shin, Soochahn Lee, Il Dong Yun +2
cs.CVarXiv:1710.03778v22017
Rethinking Interpretability in the Era of Large Language Models
Chandan Singh, Jeevana Priya Inala, Michel Galley +2
cs.CLcs.AIcs.LGarXiv:2402.01761v12024
MetaAnchor: Learning to Detect Objects with Customized Anchors
Tong Yang, Xiangyu Zhang, Zeming Li +2
cs.CVarXiv:1807.00980v22018
Leveraging Machine Learning Techniques for Windows Ransomware Network Traffic Detection
Omar M. K. Alhawi, James Baldwin, Ali Dehghantanha
cs.CRarXiv:1807.10440v12018
A Real-Time Game Theoretic Planner for Autonomous Two-Player Drone Racing
Riccardo Spica, Davide Falanga, Eric Cristofalo +3
cs.ROarXiv:1801.02302v22018
Optimizing information flow in small genetic networks. I
Gasper Tkacik, Aleksandra M. Walczak, William Bialek
q-bio.MNarXiv:0903.4491v22009
Resource Destroying Maps
Zi-Wen Liu, Xueyuan Hu, Seth Lloyd
quant-pharXiv:1606.03723v42016
When Explanations Lie: Why Many Modified BP Attributions Fail
Leon Sixt, Maximilian Granz, Tim Landgraf
cs.LGstat.MLarXiv:1912.09818v72019
Cost-Driven Offloading for DNN-based Applications over Cloud, Edge and End Devices
Bin Lin, Yinhao Huang, Jianshan Zhang +3
cs.DCeess.SParXiv:1907.13306v12019
SLEEPNET: Automated Sleep Staging System via Deep Learning
Siddharth Biswal, Joshua Kulas, Haoqi Sun +4
cs.LGarXiv:1707.08262v12017
Generative Models as a Data Source for Multiview Representation Learning
Ali Jahanian, Xavier Puig, Yonglong Tian +1
cs.CVarXiv:2106.05258v32021
A Distributed Control Framework of Multiple Unmanned Aerial Vehicles for Dynamic Wildfire Tracking
Huy Xuan Pham, Hung Manh La, David Feil-Seifer +1
cs.ROarXiv:1803.07926v12018
Joint Detection and Localization of Stealth False Data Injection Attacks in Smart Grids using Graph Neural Networks
Osman Boyaci, Mohammad Rasoul Narimani, Katherine Davis +3
cs.LGcs.AIcs.CRarXiv:2104.11846v22021
Compression of Deep Learning Models for Text: A Survey
Manish Gupta, Puneet Agrawal
cs.CLcs.AIcs.CVarXiv:2008.05221v42020
Bidirectional Multimodal Fusion of Sky Images and Time-Series for Solar Forecasting with Large Language Models
Ken Chen, Maneesha Perera, Wei Wang +3
cs.LGarXiv:2609.11135v12026
A Panoramic Survey of Natural Language Processing in the Arab World
Kareem Darwish, Nizar Habash, Mourad Abbas +9
cs.CLarXiv:2011.12631v32020
HERALD: High-Fidelity Exemplar Retrieval with Adaptive Landmark Distillation for Heterophily-Aware Graph Condensation
Sujan Chakraborty, Priyanka Saha, Saptarshi Bej
cs.LGarXiv:2609.11123v12026
Modern Hopfield Networks and Attention for Immune Repertoire Classification
Michael Widrich, Bernhard Schäfl, Hubert Ramsauer +8
cs.LGq-bio.BMstat.MLarXiv:2007.13505v12020
Top-down Visual Saliency Guided by Captions
Vasili Ramanishka, Abir Das, Jianming Zhang +1
cs.CVarXiv:1612.07360v22016
Phase-Decoupled, Model-Calibrated Power Control for Disaggregated LLM Serving
Jae Gon Kim, Donghoon Yoo, Hanyul Ryu +3
cs.LGcs.DCarXiv:2609.11133v12026
A Comprehensive Survey on Segment Anything Model for Vision and Beyond
Chunhui Zhang, Li Liu, Yawen Cui +4
cs.CVcs.AIarXiv:2305.08196v22023
Backbones-Review: Feature Extraction Networks for Deep Learning and Deep Reinforcement Learning Approaches
Omar Elharrouss, Younes Akbari, Noor Almaadeed +1
cs.CVarXiv:2206.08016v12022
Calibrated One-class Classification for Unsupervised Time Series Anomaly Detection
Hongzuo Xu, Yijie Wang, Songlei Jian +3
cs.LGcs.AIarXiv:2207.12201v22022
ReconX: Reconstruct Any Scene from Sparse Views with Video Diffusion Model
Fangfu Liu, Wenqiang Sun, Hanyang Wang +5
cs.CVcs.AIcs.GRarXiv:2408.16767v42024
Parallel Proximal Algorithm for Image Restoration Using Hybrid Regularization -- Extended Version
Nelly Pustelnik, Caroline Chaux, Jean-Christophe Pesquet
math.OCarXiv:0911.1536v22009
The Performance of Successive Interference Cancellation in Random Wireless Networks
Xinchen Zhang, Martin Haenggi
cs.ITarXiv:1402.1557v12014
Photon counting compressive depth mapping
Gregory A. Howland, Daniel J. Lum, Matthew R. Ware +1
physics.opticscs.CVarXiv:1309.4385v12013
Legible Failures: Detecting and Repairing In-Context Binding Errors
Manas Venkata Sai Ravulapalli, Samrath Singh Chadha, Abhinav M. Hari
cs.LGarXiv:2609.11216v12026
Gene Ontology: Pitfalls, Biases, Remedies
Pascale Gaudet, Christophe Dessimoz
q-bio.GNarXiv:1602.01875v12016
MOEA/D with Angle-based Constrained Dominance Principle for Constrained Multi-objective Optimization Problems
Zhun Fan, Yi Fang, Wenji Li +3
cs.NEarXiv:1802.03608v12018
Convex Optimization with Nested Evolving Feasible Sets (CONES) under Time-Varying Loss Functions
Rahul Vaze
cs.LGcs.DSmath.OCarXiv:2609.11207v12026
Intelligent Reflecting Surface for Downlink Non-Orthogonal Multiple Access Networks
Min Fu, Yong Zhou, Yuanming Shi
eess.SPcs.ITcs.NIarXiv:1906.09434v32019
A Simple Baseline for Semi-supervised Semantic Segmentation with Strong Data Augmentation
Jianlong Yuan, Yifan Liu, Chunhua Shen +2
cs.CVarXiv:2104.07256v42021
Hierarchical Clustering Can Jointly Satisfy Richness, Consistency, and Scale Invariance
Daichi Kuroda, Maximilien Dreveton, Matthias Grossglauser +1
cs.LGstat.MEstat.MLarXiv:2609.11173v12026
Network Coding over a Noisy Relay : a Belief Propagation Approach
Sichao Yang, Ralf Koetter
cs.ITarXiv:cs/0701062v12007
Combining Multiple Feature Extraction Techniques for Handwritten Devnagari Character Recognition
Sandhya Arora, Debotosh Bhattacharjee, Mita Nasipuri +2
cs.CVcs.AIarXiv:1005.4032v12010
Power-law Distributions in Information Science - Making the Case for Logarithmic Binning
Staša Milojević
physics.soc-phcs.DLstat.MEarXiv:1011.1533v12010
Large-Scale Traffic Signal Control Using a Novel Multi-Agent Reinforcement Learning
Xiaoqiang Wang, Liangjun Ke, Zhimin Qiao +1
cs.LGcs.MAstat.MLarXiv:1908.03761v22019

Every paper with a summary

Reification as a Transferable Vocabulary: Zero-Shot Link Prediction with Vanilla GNNs

SiamAPN++: Siamese Attentional Aggregation Network for Real-Time UAV Tracking

Pretrained Language Models for Sequential Sentence Classification

Topic Modeling with Wasserstein Autoencoders

Sharper bounds for uniformly stable algorithms

Estimating Inconsistency Response Surfaces under Uncertainty in Cyber-Physical System Development

A Survey on Graph-Based Deep Learning for Computational Histopathology

An Empirical Study of DeFi Liquidations: Incentives, Risks, and Instabilities

Physics-informed Convolutional Neural Networks for Temperature Field Prediction of Heat Source Layout without Labeled Data

AB-UPT: Scaling Neural CFD Surrogates for High-Fidelity Automotive Aerodynamics Simulations via Anchored-Branched Universal Physics Transformers

Models of quantum complexity growth

MiMo-VL Technical Report

Solving Few-Shot Multiobjective Multitask Optimization via Iterative Sequential Transfer

wav2vec: Unsupervised Pre-training for Speech Recognition

InfiniPot-V: Memory-Constrained KV Cache Compression for Streaming Video Understanding

Polyhedral Geometry of Time-to-First-Spike Neural Networks

Accelerated High-Resolution Photoacoustic Tomography via Compressed Sensing

Hamiltonian Monte Carlo Methods for Subset Simulation in Reliability Analysis

Synthetic CT Generation from MRI using 3D Transformer-based Denoising Diffusion Model

A nucleotide-level coarse-grained model of RNA

GAMERA: A three-dimensional finite-volume MHD solver for non-orthogonal curvilinear geometries

Digitization of Scalar Fields for Quantum Computing

Joint Weakly and Semi-Supervised Deep Learning for Localization and Classification of Masses in Breast Ultrasound Images

Rethinking Interpretability in the Era of Large Language Models

MetaAnchor: Learning to Detect Objects with Customized Anchors

Leveraging Machine Learning Techniques for Windows Ransomware Network Traffic Detection

A Real-Time Game Theoretic Planner for Autonomous Two-Player Drone Racing

Optimizing information flow in small genetic networks. I

Resource Destroying Maps

When Explanations Lie: Why Many Modified BP Attributions Fail

Cost-Driven Offloading for DNN-based Applications over Cloud, Edge and End Devices

SLEEPNET: Automated Sleep Staging System via Deep Learning

Generative Models as a Data Source for Multiview Representation Learning

A Distributed Control Framework of Multiple Unmanned Aerial Vehicles for Dynamic Wildfire Tracking

Joint Detection and Localization of Stealth False Data Injection Attacks in Smart Grids using Graph Neural Networks

Compression of Deep Learning Models for Text: A Survey

Bidirectional Multimodal Fusion of Sky Images and Time-Series for Solar Forecasting with Large Language Models

A Panoramic Survey of Natural Language Processing in the Arab World

HERALD: High-Fidelity Exemplar Retrieval with Adaptive Landmark Distillation for Heterophily-Aware Graph Condensation

Modern Hopfield Networks and Attention for Immune Repertoire Classification

Top-down Visual Saliency Guided by Captions

Phase-Decoupled, Model-Calibrated Power Control for Disaggregated LLM Serving

A Comprehensive Survey on Segment Anything Model for Vision and Beyond

Backbones-Review: Feature Extraction Networks for Deep Learning and Deep Reinforcement Learning Approaches

Calibrated One-class Classification for Unsupervised Time Series Anomaly Detection

ReconX: Reconstruct Any Scene from Sparse Views with Video Diffusion Model

Parallel Proximal Algorithm for Image Restoration Using Hybrid Regularization -- Extended Version

The Performance of Successive Interference Cancellation in Random Wireless Networks

Photon counting compressive depth mapping

Legible Failures: Detecting and Repairing In-Context Binding Errors

Gene Ontology: Pitfalls, Biases, Remedies

MOEA/D with Angle-based Constrained Dominance Principle for Constrained Multi-objective Optimization Problems

Convex Optimization with Nested Evolving Feasible Sets (CONES) under Time-Varying Loss Functions

Intelligent Reflecting Surface for Downlink Non-Orthogonal Multiple Access Networks

A Simple Baseline for Semi-supervised Semantic Segmentation with Strong Data Augmentation

Hierarchical Clustering Can Jointly Satisfy Richness, Consistency, and Scale Invariance

Network Coding over a Noisy Relay : a Belief Propagation Approach

Combining Multiple Feature Extraction Techniques for Handwritten Devnagari Character Recognition

Power-law Distributions in Information Science - Making the Case for Logarithmic Binning

Large-Scale Traffic Signal Control Using a Novel Multi-Agent Reinforcement Learning