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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55,981 to 56,040 of 115,022

Spatial and Spatio-Temporal Log-Gaussian Cox Processes: Extending the Geostatistical Paradigm
Peter J. Diggle, Paula Moraga, Barry Rowlingson +1
stat.MEarXiv:1312.6536v12013
Random Walks on Multiplex Networks
M. De Domenico, A. Sole, S. Gomez +1
physics.soc-phcond-mat.dis-nncs.SIarXiv:1306.0519v22013
Scaling Long-Horizon LLM Agent via Context-Folding
Weiwei Sun, Miao Lu, Zhan Ling +4
cs.CLcs.LGarXiv:2510.11967v12025
Regional Semantic Contrast and Aggregation for Weakly Supervised Semantic Segmentation
Tianfei Zhou, Meijie Zhang, Fang Zhao +1
cs.CVarXiv:2203.09653v22022
DexMimicGen: Automated Data Generation for Bimanual Dexterous Manipulation via Imitation Learning
Zhenyu Jiang, Yuqi Xie, Kevin Lin +5
cs.ROcs.AIcs.CVarXiv:2410.24185v22024
Deep Probabilistic Programming
Dustin Tran, Matthew D. Hoffman, Rif A. Saurous +3
stat.MLcs.AIcs.LGarXiv:1701.03757v22017
Leveraging Deep Neural Networks and Knowledge Graphs for Entity Disambiguation
Hongzhao Huang, Larry Heck, Heng Ji
cs.CLarXiv:1504.07678v12015
Deflecting Adversarial Attacks with Pixel Deflection
Aaditya Prakash, Nick Moran, Solomon Garber +2
cs.CVcs.CRarXiv:1801.08926v32018
ROSE: An Intent-Centered Evaluation Metric for NL2SQL
Wenqi Pei, Shizheng Hou, Boyan Li +3
cs.DBcs.AIarXiv:2604.12988v12026
Information, Community, and Action: How Nonprofit Organizations Use Social Media
Kristen Lovejoy, Gregory D. Saxton
cs.CYcs.SIarXiv:1204.3230v12012
Inducing Causal Structure for Interpretable Neural Networks
Atticus Geiger, Zhengxuan Wu, Hanson Lu +5
cs.LGarXiv:2112.00826v22021
Multi-modal Learning with Missing Modality via Shared-Specific Feature Modelling
Hu Wang, Yuanhong Chen, Congbo Ma +3
cs.CVarXiv:2307.14126v22023
Do We Actually Need Dense Over-Parameterization? In-Time Over-Parameterization in Sparse Training
Shiwei Liu, Lu Yin, Decebal Constantin Mocanu +1
cs.LGcs.AIcs.CVarXiv:2102.02887v32021
Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching
Hongteng Xu, Dixin Luo, Lawrence Carin
cs.LGcs.SIstat.MLarXiv:1905.07645v52019
Aligning to Social Norms and Values in Interactive Narratives
Prithviraj Ammanabrolu, Liwei Jiang, Maarten Sap +2
cs.CLcs.AIarXiv:2205.01975v22022
Model-Free Data-Driven Inelasticity
Robert Eggersmann, Trenton Kirchdoerfer, Stefanie Reese +2
cs.CEphysics.comp-pharXiv:1808.10859v22018
Drone Small Cells in the Clouds: Design, Deployment and Performance Analysis
Mohammad Mozaffari, Walid Saad, Mehdi Bennis +1
cs.ITcs.NIarXiv:1509.01655v12015
Fundamental Limits of Covert queueing under Busy-Period Observations
Anumula Venkata Sai Sree Sahithi, Arti Yardi, Jithin Ravi
cs.ITmath.ITmath.PRarXiv:2610.13911v12026
Split Conformal Prediction with Label-Shift-Adjusted Bayesian Scores
Hyeonsu Lee, Juyeon Kim, Erkhembayar Jadamba +2
cs.LGarXiv:2609.12386v12026
Signals: Trajectory Sampling and Triage for Agentic Interactions
Shuguang Chen, Adil Hafeez, Salman Paracha
cs.AIcs.CLarXiv:2604.00356v12026
Not All Attention Is Equal: A Quantitative Survey of the EEI Trade-off
Aditya Singh
cs.LGcs.AIarXiv:2608.15459v12026
Weak Human Preference Supervision For Deep Reinforcement Learning
Zehong Cao, KaiChiu Wong, Chin-Teng Lin
cs.AIarXiv:2007.12904v22020
Embodied Question Answering
Abhishek Das, Samyak Datta, Georgia Gkioxari +3
cs.CVcs.AIcs.CLarXiv:1711.11543v22017
Deep Network Approximation for Smooth Functions
Jianfeng Lu, Zuowei Shen, Haizhao Yang +1
cs.LGmath.NAstat.MLarXiv:2001.03040v82020
Latent Variable Sequential Set Transformers For Joint Multi-Agent Motion Prediction
Roger Girgis, Florian Golemo, Felipe Codevilla +5
cs.ROcs.AIcs.CVarXiv:2104.00563v32021
A Unifying Review of Deep and Shallow Anomaly Detection
Lukas Ruff, Jacob R. Kauffmann, Robert A. Vandermeulen +5
cs.LGcs.AIstat.MLarXiv:2009.11732v32020
Control functionals for Monte Carlo integration
Chris J. Oates, Mark Girolami, Nicolas Chopin
stat.MEarXiv:1410.2392v52014
GRDN:Grouped Residual Dense Network for Real Image Denoising and GAN-based Real-world Noise Modeling
Dong-Wook Kim, Jae Ryun Chung, Seung-Won Jung
eess.IVcs.CVarXiv:1905.11172v12019
Expertise need not monopolize: Action-Specialized Mixture of Experts for Vision-Language-Action Learning
Weijie Shen, Yitian Liu, Yuhao Wu +10
cs.ROcs.AIarXiv:2510.14300v12025
Searching for Effective Neural Extractive Summarization: What Works and What's Next
Ming Zhong, Pengfei Liu, Danqing Wang +2
cs.CLarXiv:1907.03491v12019
Unbalanced minibatch Optimal Transport; applications to Domain Adaptation
Kilian Fatras, Thibault Séjourné, Nicolas Courty +1
cs.LGmath.STstat.MLarXiv:2103.03606v12021
Fair k-Center Clustering for Data Summarization
Matthäus Kleindessner, Pranjal Awasthi, Jamie Morgenstern
stat.MLcs.DScs.LGarXiv:1901.08628v22019
Autonomy and Intelligence in the Computing Continuum: Challenges, Enablers, and Future Directions for Orchestration
Henna Kokkonen, Lauri Lovén, Naser Hossein Motlagh +15
cs.MAcs.AIcs.LGarXiv:2205.01423v32022
ForgeWM: Progressive Causal Training for Few-Step Action-Conditioned Video World Models
Xinye Li, Lingshuai Lin, Lei Wang +8
cs.CVcs.AIarXiv:2608.14022v12026
Where LLM Agents Fail and How They can Learn From Failures
Kunlun Zhu, Zijia Liu, Bingxuan Li +15
cs.AIarXiv:2509.25370v12025
FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy
Jianqing Zhang, Yang Hua, Hao Wang +4
cs.LGcs.AIarXiv:2307.01217v22023
Why rankings of biomedical image analysis competitions should be interpreted with care
Lena Maier-Hein, Matthias Eisenmann, Annika Reinke +35
cs.CVarXiv:1806.02051v22018
The Influence of Sodium and Potassium Dynamics on Excitability, Seizures, and the Stability of Persistent States: II. Network and Glial Dynamics
Ghanim Ullah, John R. Cressman, Ernest Barreto +1
q-bio.NCq-bio.QMarXiv:0806.3741v32008
Variational quantum algorithms for discovering Hamiltonian spectra
Suguru Endo, Tyson Jones, Sam McArdle +2
quant-pharXiv:1806.05707v22018
EvolProver: Advancing Automated Theorem Proving by Evolving Formalized Problems via Symmetry and Difficulty
Yuchen Tian, Ruiyuan Huang, Xuanwu Wang +6
cs.AIarXiv:2510.00732v12025
Cost-Effective Active Learning for Deep Image Classification
Keze Wang, Dongyu Zhang, Ya Li +2
cs.CVarXiv:1701.03551v12017
Explicit Quantum Circuits for Block Encodings of Certain Sparse Matrices
Daan Camps, Lin Lin, Roel Van Beeumen +1
quant-phmath.NAmath.QAarXiv:2203.10236v42022
Progressive LiDAR Adaptation for Road Detection
Zhe Chen, Jing Zhang, Dacheng Tao
cs.CVarXiv:1904.01206v12019
SPLADE: Sparse Lexical and Expansion Model for First Stage Ranking
Thibault Formal, Benjamin Piwowarski, Stéphane Clinchant
cs.IRarXiv:2107.05720v12021
Learnable Time-Frequency Masks for Explaining Time-Series Classifiers
Theresa Dahl Frehr, Francisco Pelayo, Lukas Raad +3
cs.LGarXiv:2609.29270v12026
Label Refinery: Improving ImageNet Classification through Label Progression
Hessam Bagherinezhad, Maxwell Horton, Mohammad Rastegari +1
cs.CVarXiv:1805.02641v12018
WirelessAgent: Large Language Model Agents for Intelligent Wireless Networks
Jingwen Tong, Jiawei Shao, Qiong Wu +4
cs.NIcs.AIcs.LGarXiv:2409.07964v12024
Practical Stereo Matching via Cascaded Recurrent Network with Adaptive Correlation
Jiankun Li, Peisen Wang, Pengfei Xiong +6
cs.CVarXiv:2203.11483v12022
On the Performance Analysis of RIS-Empowered Communications Over Nakagami-m Fading
Dimitris Selimis, Kostas P. Peppas, George C. Alexandropoulos +1
cs.ITeess.SPmath.ITarXiv:2309.11893v12023
Optimization, Learning, and Games with Predictable Sequences
Alexander Rakhlin, Karthik Sridharan
cs.LGcs.GTarXiv:1311.1869v12013
DARE: Diffusion Large Language Models Alignment and Reinforcement Executor
Jingyi Yang, Yuxian Jiang, Xuhao Hu +3
cs.CLarXiv:2604.04215v12026
Learning Multi-dimensional Edge Feature-based AU Relation Graph for Facial Action Unit Recognition
Cheng Luo, Siyang Song, Weicheng Xie +2
cs.CVcs.AIarXiv:2205.01782v22022
Entropy Search for Information-Efficient Global Optimization
Philipp Hennig, Christian J. Schuler
stat.MLcs.AIarXiv:1112.1217v12011
LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models
Huiqiang Jiang, Qianhui Wu, Chin-Yew Lin +2
cs.CLcs.LGarXiv:2310.05736v22023
HEp-2 Cell Image Classification with Deep Convolutional Neural Networks
Zhimin Gao, Lei Wang, Luping Zhou +1
cs.CVarXiv:1504.02531v22015
Age of Information in a Network of Preemptive Servers
Roy D. Yates
cs.ITcs.NImath.ITarXiv:1803.07993v12018
Robust Covariance and Scatter Matrix Estimation under Huber's Contamination Model
Mengjie Chen, Chao Gao, Zhao Ren
math.STstat.MEarXiv:1506.00691v42015
MiNO: Cotangent-bundle propagator learning for PDEs
Gnankan Landry Regis N'guessan, Bum Jun Kim
cs.LGcs.CEmath.NAarXiv:2608.15187v12026
Improved Neural Relation Detection for Knowledge Base Question Answering
Mo Yu, Wenpeng Yin, Kazi Saidul Hasan +3
cs.CLcs.AIcs.NEarXiv:1704.06194v22017
Aeronautical Ad Hoc Networking for the Internet-Above-The-Clouds
Jiankang Zhang, Taihai Chen, Shida Zhong +5
cs.NIeess.SParXiv:1905.07486v12019

Every paper with a summary

Spatial and Spatio-Temporal Log-Gaussian Cox Processes: Extending the Geostatistical Paradigm

Random Walks on Multiplex Networks

Scaling Long-Horizon LLM Agent via Context-Folding

Regional Semantic Contrast and Aggregation for Weakly Supervised Semantic Segmentation

DexMimicGen: Automated Data Generation for Bimanual Dexterous Manipulation via Imitation Learning

Deep Probabilistic Programming

Leveraging Deep Neural Networks and Knowledge Graphs for Entity Disambiguation

Deflecting Adversarial Attacks with Pixel Deflection

ROSE: An Intent-Centered Evaluation Metric for NL2SQL

Information, Community, and Action: How Nonprofit Organizations Use Social Media

Inducing Causal Structure for Interpretable Neural Networks

Multi-modal Learning with Missing Modality via Shared-Specific Feature Modelling

Do We Actually Need Dense Over-Parameterization? In-Time Over-Parameterization in Sparse Training

Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching

Aligning to Social Norms and Values in Interactive Narratives

Model-Free Data-Driven Inelasticity

Drone Small Cells in the Clouds: Design, Deployment and Performance Analysis

Fundamental Limits of Covert queueing under Busy-Period Observations

Split Conformal Prediction with Label-Shift-Adjusted Bayesian Scores

Signals: Trajectory Sampling and Triage for Agentic Interactions

Not All Attention Is Equal: A Quantitative Survey of the EEI Trade-off

Weak Human Preference Supervision For Deep Reinforcement Learning

Embodied Question Answering

Deep Network Approximation for Smooth Functions

Latent Variable Sequential Set Transformers For Joint Multi-Agent Motion Prediction

A Unifying Review of Deep and Shallow Anomaly Detection

Control functionals for Monte Carlo integration

GRDN:Grouped Residual Dense Network for Real Image Denoising and GAN-based Real-world Noise Modeling

Expertise need not monopolize: Action-Specialized Mixture of Experts for Vision-Language-Action Learning

Searching for Effective Neural Extractive Summarization: What Works and What's Next

Unbalanced minibatch Optimal Transport; applications to Domain Adaptation

Fair k-Center Clustering for Data Summarization

Autonomy and Intelligence in the Computing Continuum: Challenges, Enablers, and Future Directions for Orchestration

ForgeWM: Progressive Causal Training for Few-Step Action-Conditioned Video World Models

Where LLM Agents Fail and How They can Learn From Failures

FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy

Why rankings of biomedical image analysis competitions should be interpreted with care

The Influence of Sodium and Potassium Dynamics on Excitability, Seizures, and the Stability of Persistent States: II. Network and Glial Dynamics

Variational quantum algorithms for discovering Hamiltonian spectra

EvolProver: Advancing Automated Theorem Proving by Evolving Formalized Problems via Symmetry and Difficulty

Cost-Effective Active Learning for Deep Image Classification

Explicit Quantum Circuits for Block Encodings of Certain Sparse Matrices

Progressive LiDAR Adaptation for Road Detection

SPLADE: Sparse Lexical and Expansion Model for First Stage Ranking

Learnable Time-Frequency Masks for Explaining Time-Series Classifiers

Label Refinery: Improving ImageNet Classification through Label Progression

WirelessAgent: Large Language Model Agents for Intelligent Wireless Networks

Practical Stereo Matching via Cascaded Recurrent Network with Adaptive Correlation

On the Performance Analysis of RIS-Empowered Communications Over Nakagami-m Fading

Optimization, Learning, and Games with Predictable Sequences

DARE: Diffusion Large Language Models Alignment and Reinforcement Executor

Learning Multi-dimensional Edge Feature-based AU Relation Graph for Facial Action Unit Recognition

Entropy Search for Information-Efficient Global Optimization

LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models

HEp-2 Cell Image Classification with Deep Convolutional Neural Networks

Age of Information in a Network of Preemptive Servers

Robust Covariance and Scatter Matrix Estimation under Huber's Contamination Model

MiNO: Cotangent-bundle propagator learning for PDEs

Improved Neural Relation Detection for Knowledge Base Question Answering

Aeronautical Ad Hoc Networking for the Internet-Above-The-Clouds