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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72,661 to 72,720 of 105,566

Action Tubelet Detector for Spatio-Temporal Action Localization
Vicky Kalogeiton, Philippe Weinzaepfel, Vittorio Ferrari +1
cs.CVarXiv:1705.01861v32017
MVTrack4Gen: Multi-View Point Tracking as Geometric Supervision for 4D Video Generation
JoungBin Lee, Jaewoo Jung, Jongmin Lee +8
cs.CVarXiv:2606.26087v12026
No Pixel Left Behind: Filling Gaps in Anime Colorization
Masahiro Kono, Akinobu Maejima, Yuki Koyama +2
cs.HCcs.CVcs.GRarXiv:2609.00800v12026
On the Shift Operator, Graph Frequency and Optimal Filtering in Graph Signal Processing
Adnan Gavili, Xiao-Ping Zhang
math.SPcs.ITarXiv:1511.03512v62015
Visibility into AI Agents
Alan Chan, Carson Ezell, Max Kaufmann +9
cs.CYcs.AIarXiv:2401.13138v62024
Meta-learning via Language Model In-context Tuning
Yanda Chen, Ruiqi Zhong, Sheng Zha +2
cs.CLcs.LGarXiv:2110.07814v22021
Understanding Diffusion Objectives as the ELBO with Simple Data Augmentation
Diederik P. Kingma, Ruiqi Gao
cs.LGcs.AIstat.MLarXiv:2303.00848v72023
Localization in Multi-Panel Massive MIMO With Clock Asynchronism: A Unified Approach
Yuhao Zhang, Guangjin Pan, Musa Furkan Keskin +3
eess.SPcs.ITmath.ITarXiv:2610.12178v12026
Steered LLM Activations are Non-Surjective
Aayush Mishra, Daniel Khashabi, Anqi Liu
cs.AIcs.LGarXiv:2604.09839v22026
Human-JEPA: A Human-Centric Vision Model that Perceives and Anticipates
Hui Wei, Licai Sun, Guoying Zhao
cs.CVcs.LGarXiv:2608.21160v12026
Controllable Layer Decomposition for Reversible Multi-Layer Image Generation
Zihao Liu, Zunnan Xu, Shi Shu +4
cs.GRarXiv:2511.16249v22025
Approaching the Capacity of Wireless Networks through Distributed Interference Alignment
Krishna Gomadam, Viveck R. Cadambe, Syed A. Jafar
cs.ITarXiv:0803.3816v12008
Do LLMs Understand Context? A Knowledge Graph-Based Evaluation Framework
Subavarshana Arumugam, Mamta Nallaretnam, Kithuni Wickramasinghe +4
cs.AIcs.LGarXiv:2609.30484v12026
Scientometrics
Loet Leydesdorff, Staša Milojević
cs.DLarXiv:1208.4566v22012
From Mastery Profile to Simulated Response: Stochastic Student Knowledge Graphs (SSKG) for Faithful LLM Student Simulation
Yuan An, Emily Wang, Benjamin Wang +1
cs.AIcs.HCarXiv:2608.21668v12026
SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks
Hongcheng Gao, Hailong Qu, Jingyi Tang +18
cs.AIcs.CLarXiv:2606.09669v22026
Deep Online Learning via Meta-Learning: Continual Adaptation for Model-Based RL
Anusha Nagabandi, Chelsea Finn, Sergey Levine
cs.LGcs.AIcs.ROarXiv:1812.07671v22018
Requirements-driven Test Generation for Autonomous Vehicles with Machine Learning Components
Cumhur Erkan Tuncali, Georgios Fainekos, Danil Prokhorov +2
cs.ROcs.LGcs.SEarXiv:1908.01094v12019
How to Guide Your Flow: Few-Step Alignment via Flow Map Reward Guidance
Jerry Y. Huang, Justin Lin, Sheel Shah +2
cs.LGcs.AIarXiv:2604.27147v32026
Regularized Spectral Clustering under the Degree-Corrected Stochastic Blockmodel
Tai Qin, Karl Rohe
stat.MLcs.LGmath.STarXiv:1309.4111v12013
Power-MSE trade-off of Factorized Low-rank Approximated Computation Scheme with Memristors
Binyu Lu, Matthias Frey, Stark Draper +1
eess.SParXiv:2609.29732v12026
Risk and parameter convergence of logistic regression
Ziwei Ji, Matus Telgarsky
cs.LGmath.OCstat.MLarXiv:1803.07300v32018
Recursive Self-Improvement through Multi-Agent Self-Supervision
Hyunin Lee, Jinglue Xu, Jeffrey Seely +4
cs.AIarXiv:2610.12176v12026
Mixture of Channel Experts: Static Sparse Supports with Input-Adaptive Mixing for Pointwise Projections
Elian Iluk, Gil Ben-Artzi
cs.LGcs.CVarXiv:2608.23794v12026
Learning and Generalization in Overparameterized Neural Networks, Going Beyond Two Layers
Zeyuan Allen-Zhu, Yuanzhi Li, Yingyu Liang
cs.LGcs.DScs.NEarXiv:1811.04918v62018
Decoupling Parcellation from Classification: Systematic Benchmark of Fast Brain Segmentation Methods for Alzheimer's Disease Detection
Jiadao Zou, Hongyu Guo, Wei Xi
eess.IVcs.AIcs.CVarXiv:2608.16039v12026
VLM4VLA: Revisiting Vision-Language-Models in Vision-Language-Action Models
Jianke Zhang, Xiaoyu Chen, Qiuyue Wang +7
cs.CVcs.AIarXiv:2601.03309v22026
Conformal Prediction: a Unified Review of Theory and New Challenges
Matteo Fontana, Gianluca Zeni, Simone Vantini
cs.LGecon.EMstat.MEarXiv:2005.07972v22020
Beyond Future Prediction: Denoising as Generative Adaptation for Robot Control
Zanyi Wang, Yuheng Lei, Dengyang Jiang +4
cs.ROarXiv:2609.28339v12026
Eyemotion: Classifying facial expressions in VR using eye-tracking cameras
Steven Hickson, Nick Dufour, Avneesh Sud +2
cs.CVarXiv:1707.07204v22017
Image Inpainting via Conditional Texture and Structure Dual Generation
Xiefan Guo, Hongyu Yang, Di Huang
cs.CVarXiv:2108.09760v22021
Randomized compiling for scalable quantum computing on a noisy superconducting quantum processor
Akel Hashim, Ravi K. Naik, Alexis Morvan +11
quant-pharXiv:2010.00215v22020
A Survey on Time-Series Pre-Trained Models
Qianli Ma, Zhen Liu, Zhenjing Zheng +4
cs.LGcs.AIarXiv:2305.10716v22023
Towards Scalable Quantum Unit Commitment in Power Systems: Encoding and Complexity Reduction Techniques
Marc Carrillo-MuÑoz, Sergio MartÍnez-Hermida, Sara Barja-MartÍnez +2
quant-phcs.SYeess.SYarXiv:2609.36999v12026
Transductive Episodic-Wise Adaptive Metric for Few-Shot Learning
Limeng Qiao, Yemin Shi, Jia Li +3
cs.LGcs.CVarXiv:1910.02224v12019
Building Machines that Learn and Think with People
Katherine M. Collins, Ilia Sucholutsky, Umang Bhatt +10
cs.HCcs.AIcs.LGarXiv:2408.03943v12024
When KL Regularization Misfires in Group Policy Optimization
Fei Ding
cs.LGcs.CLarXiv:2610.12161v12026
A Lightweight Library for Energy-Based Joint-Embedding Predictive Architectures
Basile Terver, Randall Balestriero, Megi Dervishi +8
cs.CVcs.AIarXiv:2602.03604v32026
TailBooster: A Dual-Layer Generative Framework for Extreme Value Augmentation with Operational Validity Enforcement
Karim Aly, Alexei Sharpanskykh, Jacco Hoekstra
cs.LGcs.AIarXiv:2608.11951v12026
An Empirical Survey of Data Augmentation for Time Series Classification with Neural Networks
Brian Kenji Iwana, Seiichi Uchida
cs.LGstat.MLarXiv:2007.15951v42020
Sparse Autoencoders Learn Monosemantic Features in Vision-Language Models
Mateusz Pach, Shyamgopal Karthik, Quentin Bouniot +2
cs.CVcs.AIcs.LGarXiv:2504.02821v32025
Efficient Communication in Multi-Agent Reinforcement Learning via Variance Based Control
Sai Qian Zhang, Qi Zhang, Jieyu Lin
cs.LGstat.MLarXiv:1909.02682v22019
Streaming End-to-end Speech Recognition For Mobile Devices
Yanzhang He, Tara N. Sainath, Rohit Prabhavalkar +17
cs.CLarXiv:1811.06621v12018
Data Mixing Laws: Optimizing Data Mixtures by Predicting Language Modeling Performance
Jiasheng Ye, Peiju Liu, Tianxiang Sun +3
cs.CLcs.AIcs.LGarXiv:2403.16952v22024
PRM-as-a-Judge: A Dense Evaluation Paradigm for Fine-Grained Robotic Auditing
Yuheng Ji, Yuyang Liu, Huajie Tan +15
cs.ROcs.CVarXiv:2603.21669v12026
Trademark Search, Artificial Intelligence and the Role of the Private Sector
Sonia Katyal, Aniket Kesari
cs.CYcs.AIarXiv:2601.17072v12026
Best of Both Worlds: Transferring Knowledge from Discriminative Learning to a Generative Visual Dialog Model
Jiasen Lu, Anitha Kannan, Jianwei Yang +2
cs.CVcs.AIcs.CLarXiv:1706.01554v22017
Omni-Attribute: Open-vocabulary Attribute Encoder for Visual Concept Personalization
Tsai-Shien Chen, Aliaksandr Siarohin, Gordon Guocheng Qian +9
cs.CVarXiv:2512.10955v22025
Query Expansion with Locally-Trained Word Embeddings
Fernando Diaz, Bhaskar Mitra, Nick Craswell
cs.IRcs.CLarXiv:1605.07891v22016
SkillOps: Managing LLM Agent Skill Libraries as Self-Maintaining Software Ecosystems
Hongji Pu, Xinyuan Song, Liang Zhao
cs.SEcs.MAarXiv:2605.13716v12026
Ask Your Neurons: A Neural-based Approach to Answering Questions about Images
Mateusz Malinowski, Marcus Rohrbach, Mario Fritz
cs.CVcs.AIcs.CLarXiv:1505.01121v32015
Reliability Characterization for N-version Object Detection
Shunsuke Nagao, Fumio Machida
cs.SEarXiv:2610.12149v12026
Birth and death of links control disease spreading in empirical contact networks
Petter Holme, Fredrik Liljeros
q-bio.PEcs.SIphysics.soc-pharXiv:1307.6436v22013
A quantum network stack and protocols for reliable entanglement-based networks
A. Pirker, W. Dür
quant-phcs.NIarXiv:1810.03556v22018
Dream-Tac: A Unified Tactile World Action Model for Contact-Rich Robot Manipulation
Yunfan Lou, Yifan Ye, Yankai Fu +7
cs.ROarXiv:2606.08737v12026
Circuit Quantum Electrodynamics with a Spin Qubit
K. D. Petersson, L. W. McFaul, M. D. Schroer +4
cond-mat.mes-hallarXiv:1205.6767v12012
Language Conditioned Spatial Relation Reasoning for 3D Object Grounding
Shizhe Chen, Pierre-Louis Guhur, Makarand Tapaswi +2
cs.CVarXiv:2211.09646v12022
Integrating Spatial Configuration into Heatmap Regression Based CNNs for Landmark Localization
Christian Payer, Darko Štern, Horst Bischof +1
eess.IVcs.CVarXiv:1908.00748v12019
Stolen Memories: Leveraging Model Memorization for Calibrated White-Box Membership Inference
Klas Leino, Matt Fredrikson
cs.LGcs.CRstat.MLarXiv:1906.11798v22019
Zebra-CoT: A Dataset for Interleaved Vision Language Reasoning
Ang Li, Charles Wang, Deqing Fu +9
cs.CVcs.CLcs.LGarXiv:2507.16746v22025

Every paper with a summary

Action Tubelet Detector for Spatio-Temporal Action Localization

MVTrack4Gen: Multi-View Point Tracking as Geometric Supervision for 4D Video Generation

No Pixel Left Behind: Filling Gaps in Anime Colorization

On the Shift Operator, Graph Frequency and Optimal Filtering in Graph Signal Processing

Visibility into AI Agents

Meta-learning via Language Model In-context Tuning

Understanding Diffusion Objectives as the ELBO with Simple Data Augmentation

Localization in Multi-Panel Massive MIMO With Clock Asynchronism: A Unified Approach

Steered LLM Activations are Non-Surjective

Human-JEPA: A Human-Centric Vision Model that Perceives and Anticipates

Controllable Layer Decomposition for Reversible Multi-Layer Image Generation

Approaching the Capacity of Wireless Networks through Distributed Interference Alignment

Do LLMs Understand Context? A Knowledge Graph-Based Evaluation Framework

Scientometrics

From Mastery Profile to Simulated Response: Stochastic Student Knowledge Graphs (SSKG) for Faithful LLM Student Simulation

SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks

Deep Online Learning via Meta-Learning: Continual Adaptation for Model-Based RL

Requirements-driven Test Generation for Autonomous Vehicles with Machine Learning Components

How to Guide Your Flow: Few-Step Alignment via Flow Map Reward Guidance

Regularized Spectral Clustering under the Degree-Corrected Stochastic Blockmodel

Power-MSE trade-off of Factorized Low-rank Approximated Computation Scheme with Memristors

Risk and parameter convergence of logistic regression

Recursive Self-Improvement through Multi-Agent Self-Supervision

Mixture of Channel Experts: Static Sparse Supports with Input-Adaptive Mixing for Pointwise Projections

Learning and Generalization in Overparameterized Neural Networks, Going Beyond Two Layers

Decoupling Parcellation from Classification: Systematic Benchmark of Fast Brain Segmentation Methods for Alzheimer's Disease Detection

VLM4VLA: Revisiting Vision-Language-Models in Vision-Language-Action Models

Conformal Prediction: a Unified Review of Theory and New Challenges

Beyond Future Prediction: Denoising as Generative Adaptation for Robot Control

Eyemotion: Classifying facial expressions in VR using eye-tracking cameras

Image Inpainting via Conditional Texture and Structure Dual Generation

Randomized compiling for scalable quantum computing on a noisy superconducting quantum processor

A Survey on Time-Series Pre-Trained Models

Towards Scalable Quantum Unit Commitment in Power Systems: Encoding and Complexity Reduction Techniques

Transductive Episodic-Wise Adaptive Metric for Few-Shot Learning

Building Machines that Learn and Think with People

When KL Regularization Misfires in Group Policy Optimization

A Lightweight Library for Energy-Based Joint-Embedding Predictive Architectures

TailBooster: A Dual-Layer Generative Framework for Extreme Value Augmentation with Operational Validity Enforcement

An Empirical Survey of Data Augmentation for Time Series Classification with Neural Networks

Sparse Autoencoders Learn Monosemantic Features in Vision-Language Models

Efficient Communication in Multi-Agent Reinforcement Learning via Variance Based Control

Streaming End-to-end Speech Recognition For Mobile Devices

Data Mixing Laws: Optimizing Data Mixtures by Predicting Language Modeling Performance

PRM-as-a-Judge: A Dense Evaluation Paradigm for Fine-Grained Robotic Auditing

Trademark Search, Artificial Intelligence and the Role of the Private Sector

Best of Both Worlds: Transferring Knowledge from Discriminative Learning to a Generative Visual Dialog Model

Omni-Attribute: Open-vocabulary Attribute Encoder for Visual Concept Personalization

Query Expansion with Locally-Trained Word Embeddings

SkillOps: Managing LLM Agent Skill Libraries as Self-Maintaining Software Ecosystems

Ask Your Neurons: A Neural-based Approach to Answering Questions about Images

Reliability Characterization for N-version Object Detection

Birth and death of links control disease spreading in empirical contact networks

A quantum network stack and protocols for reliable entanglement-based networks

Dream-Tac: A Unified Tactile World Action Model for Contact-Rich Robot Manipulation

Circuit Quantum Electrodynamics with a Spin Qubit

Language Conditioned Spatial Relation Reasoning for 3D Object Grounding

Integrating Spatial Configuration into Heatmap Regression Based CNNs for Landmark Localization

Stolen Memories: Leveraging Model Memorization for Calibrated White-Box Membership Inference

Zebra-CoT: A Dataset for Interleaved Vision Language Reasoning