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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43,981 to 44,040 of 61,306

Quality Assessment of In-the-Wild Videos
Dingquan Li, Tingting Jiang, Ming Jiang
cs.MMcs.CVeess.IVarXiv:1908.00375v32019
SARAH 3.2: Dirac Gauginos, UFO output, and more
Florian Staub
hep-pharXiv:1207.0906v32012
Efficient collective swimming by harnessing vortices through deep reinforcement learning
Siddhartha Verma, Guido Novati, Petros Koumoutsakos
physics.flu-dyncs.AIphysics.comp-pharXiv:1802.02674v12018
Recovering Expert Critic-Sourced Network Adjacency between Musical Artists from Acoustic Distributions: A Construct-Validity Approach
Elena Badillo-Goicoechea, Fengfeng He
stat.MLcs.LGarXiv:2608.27291v12026
On Interpretability of Artificial Neural Networks: A Survey
Fenglei Fan, Jinjun Xiong, Mengzhou Li +1
cs.LGcs.AIstat.MLarXiv:2001.02522v42020
Quantum reinforcement learning
Daoyi Dong, Chunlin Chen, Hanxiong Li +1
quant-phcs.AIcs.LGarXiv:0810.3828v12008
Can Network Theory-based Targeting Increase Technology Adoption?
Lori Beaman, Ariel BenYishay, Jeremy Magruder +1
econ.GNarXiv:1808.01205v12018
One Model, Many Minds: Unlocking Multi-Agent Synergy in a Single Agent via Mixture of Roles
Zhichen Zeng, Huiyuan Chen, Jingru Cheng +7
cs.MAarXiv:2608.27338v12026
Stereo Magnification: Learning View Synthesis using Multiplane Images
Tinghui Zhou, Richard Tucker, John Flynn +2
cs.CVcs.GRarXiv:1805.09817v12018
The Intrinsic Dimension of Images and Its Impact on Learning
Phillip Pope, Chen Zhu, Ahmed Abdelkader +2
cs.CVcs.LGstat.MLarXiv:2104.08894v12021
CritICL: Inference-Time Weak-to-Strong Generalization from Small Language Model Failure Modes
Yufan Wu, Yinghui He, Zhengyi Hu +4
cs.CLarXiv:2608.27455v12026
DeepLung: Deep 3D Dual Path Nets for Automated Pulmonary Nodule Detection and Classification
Wentao Zhu, Chaochun Liu, Wei Fan +1
cs.CVcs.LGcs.NEarXiv:1801.09555v12018
Trading classical and quantum computational resources
Sergey Bravyi, Graeme Smith, John Smolin
quant-pharXiv:1506.01396v12015
Gradient Estimation Using Stochastic Computation Graphs
John Schulman, Nicolas Heess, Theophane Weber +1
cs.LGarXiv:1506.05254v32015
AgentDV: Closed-Loop Agentic AI for Hardware Design Verification
Navya Goli, Junzhe Liu, Zhenge Jia +1
cs.SEarXiv:2608.27148v12026
Real-time Multiple People Tracking with Deeply Learned Candidate Selection and Person Re-Identification
Long Chen, Haizhou Ai, Zijie Zhuang +1
cs.CVarXiv:1809.04427v12018
How well developed are altmetrics? A cross-disciplinary analysis of the presence of 'alternative metrics' in scientific publications
Zohreh Zahedi, Rodrigo Costas, Paul Wouters
cs.DLarXiv:1404.1301v12014
Topic Models Conditioned on Arbitrary Features with Dirichlet-multinomial Regression
David Mimno, Andrew McCallum
cs.IRstat.MEarXiv:1206.3278v12012
SegFlow: Joint Learning for Video Object Segmentation and Optical Flow
Jingchun Cheng, Yi-Hsuan Tsai, Shengjin Wang +1
cs.CVarXiv:1709.06750v12017
SpecInfer: Accelerating Generative Large Language Model Serving with Tree-based Speculative Inference and Verification
Xupeng Miao, Gabriele Oliaro, Zhihao Zhang +12
cs.CLcs.DCcs.LGarXiv:2305.09781v42023
Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language Models that Follow Instructions
Federico Bianchi, Mirac Suzgun, Giuseppe Attanasio +4
cs.CLarXiv:2309.07875v32023
Recurrent Highway Networks
Julian Georg Zilly, Rupesh Kumar Srivastava, Jan Koutník +1
cs.LGcs.CLcs.NEarXiv:1607.03474v52016
PACE: A Unified Condense-and-Extract Paradigm for Fast VLM Inference
Junjie Liu, Shengyuan Ye, Xu Chen
cs.CVcs.AIarXiv:2608.27206v12026
Prior Convictions: Black-Box Adversarial Attacks with Bandits and Priors
Andrew Ilyas, Logan Engstrom, Aleksander Madry
stat.MLcs.CRcs.LGarXiv:1807.07978v32018
Adversarial Uncertainty Quantification in Physics-Informed Neural Networks
Yibo Yang, Paris Perdikaris
stat.MLcs.LGphysics.comp-pharXiv:1811.04026v12018
NeuS2: Fast Learning of Neural Implicit Surfaces for Multi-view Reconstruction
Yiming Wang, Qin Han, Marc Habermann +3
cs.CVcs.GRarXiv:2212.05231v32022
AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognition
Fabien Ringeval, Björn Schuller, Michel Valstar +14
cs.HCcs.CVcs.IRarXiv:1907.11510v12019
Mitigating Forced Oscillations in Power Systems via Data-Enabled Predictive Control
Soraya Daabak, Verena Häberle, Gabriela Hug +1
eess.SYarXiv:2608.26975v12026
Statistical ranking and combinatorial Hodge theory
Xiaoye Jiang, Lek-Heng Lim, Yuan Yao +1
stat.MLcs.DMarXiv:0811.1067v22008
The Cost of Application-Class Processing: Energy and Performance Analysis of a Linux-ready 1.7GHz 64bit RISC-V Core in 22nm FDSOI Technology
Florian Zaruba, Luca Benini
cs.ARarXiv:1904.05442v12019
Measuring Compositional Generalization: A Comprehensive Method on Realistic Data
Daniel Keysers, Nathanael Schärli, Nathan Scales +11
cs.LGcs.CLstat.MLarXiv:1912.09713v22019
Gaussian Processes and Kernel Methods: A Review on Connections and Equivalences
Motonobu Kanagawa, Philipp Hennig, Dino Sejdinovic +1
stat.MLcs.LGarXiv:1807.02582v12018
Caching at the Wireless Edge: Design Aspects, Challenges and Future Directions
Dong Liu, Binqiang Chen, Chenyang Yang +1
cs.NIarXiv:1810.13287v12018
Mask3D: Mask Transformer for 3D Semantic Instance Segmentation
Jonas Schult, Francis Engelmann, Alexander Hermans +3
cs.CVarXiv:2210.03105v22022
Learning Cooperative Visual Dialog Agents with Deep Reinforcement Learning
Abhishek Das, Satwik Kottur, José M. F. Moura +2
cs.CVcs.AIcs.CLarXiv:1703.06585v22017
Cone Extended Rayleigh Quotients for Directed Graph Learning: Minimax Spectral Certificates, Sensitivity, and Adaptive Control
Yavdat Sh. Il'yasov, Nur F. Valeev
cs.LGarXiv:2608.27122v12026
MEGA: Multilingual Evaluation of Generative AI
Kabir Ahuja, Harshita Diddee, Rishav Hada +9
cs.CLarXiv:2303.12528v42023
Is synthetic data from generative models ready for image recognition?
Ruifei He, Shuyang Sun, Xin Yu +5
cs.CVarXiv:2210.07574v22022
Evaluating Verifiability in Generative Search Engines
Nelson F. Liu, Tianyi Zhang, Percy Liang
cs.CLcs.IRarXiv:2304.09848v22023
Hierarchical Neural Architecture Search for Deep Stereo Matching
Xuelian Cheng, Yiran Zhong, Mehrtash Harandi +5
cs.CVarXiv:2010.13501v12020
SSAST: Self-Supervised Audio Spectrogram Transformer
Yuan Gong, Cheng-I Jeff Lai, Yu-An Chung +1
cs.SDcs.AIeess.ASarXiv:2110.09784v22021
CosyVoice 2: Scalable Streaming Speech Synthesis with Large Language Models
Zhihao Du, Yuxuan Wang, Qian Chen +16
cs.SDcs.AIcs.LGarXiv:2412.10117v32024
TransMeme: A Multi-Agent Framework for Cross-Cultural Meme Transcreation
Jingyi Zheng, Yule Liu, Zifan Peng +4
cs.AIarXiv:2608.27127v12026
pro-team at LLMs4OL 2026 Tasks Flagship and Reuse: Retrieval-Augmented Generation and Vocabulary-Constrained Filtering for Ontology Learning
Shivam Mishra, Dhannu Ram Meena, Muneendra Ojha +2
cs.AIarXiv:2608.27101v12026
Summaries:한국어
Adversarially-Informed Node Criticality Identification in Power Grid Measurements
Koto Omiloli, Olugbenga Moses Anubi
eess.SYmath.OCarXiv:2608.27393v12026
Rate Splitting for MIMO Wireless Networks: A Promising PHY-Layer Strategy for LTE Evolution
Bruno Clerckx, Hamdi Joudeh, Chenxi Hao +2
cs.ITcs.NIarXiv:1603.01217v12016
Learning Shape Templates with Structured Implicit Functions
Kyle Genova, Forrester Cole, Daniel Vlasic +3
cs.CVcs.GRarXiv:1904.06447v12019
Generalizing Koopman Theory to allow for inputs and control
Joshua L. Proctor, Steven L. Brunton, J. Nathan Kutz
math.OCarXiv:1602.07647v12016
Mixed Transformer U-Net For Medical Image Segmentation
Hongyi Wang, Shiao Xie, Lanfen Lin +4
eess.IVcs.AIcs.CVarXiv:2111.04734v22021
Nonlinear 3D Face Morphable Model
Luan Tran, Xiaoming Liu
cs.CVarXiv:1804.03786v32018
MapTR: Structured Modeling and Learning for Online Vectorized HD Map Construction
Bencheng Liao, Shaoyu Chen, Xinggang Wang +4
cs.CVcs.ROarXiv:2208.14437v22022
Parallel Physics-Informed Neural Networks via Domain Decomposition
Khemraj Shukla, Ameya D. Jagtap, George Em Karniadakis
cs.DCarXiv:2104.10013v32021
Few-Shot Incremental Learning with Continually Evolved Classifiers
Chi Zhang, Nan Song, Guosheng Lin +3
cs.CVcs.AIcs.LGarXiv:2104.03047v12021
Self-regulating Prompts: Foundational Model Adaptation without Forgetting
Muhammad Uzair Khattak, Syed Talal Wasim, Muzammal Naseer +3
cs.CVarXiv:2307.06948v22023
Security and privacy for 6G: A survey on prospective technologies and challenges
Van-Linh Nguyen, Po-Ching Lin, Bo-Chao Cheng +2
cs.CRcs.NIarXiv:2108.11861v22021
Deep Representation Learning with Part Loss for Person Re-Identification
Hantao Yao, Shiliang Zhang, Yongdong Zhang +2
cs.CVarXiv:1707.00798v22017
Finite Basis Physics-Informed Neural Networks (FBPINNs): a scalable domain decomposition approach for solving differential equations
Ben Moseley, Andrew Markham, Tarje Nissen-Meyer
physics.comp-phcs.LGarXiv:2107.07871v12021
COVID-19 identification in chest X-ray images on flat and hierarchical classification scenarios
Rodolfo M. Pereira, Diego Bertolini, Lucas O. Teixeira +2
cs.LGstat.MLarXiv:2004.05835v32020
Learning Transverse Momentum Distributions from Raw Scattering Events via Conditional Diffusion
Jitao Xu, Christopher Cocuzza, Kevin Braga +3
hep-phcs.AIarXiv:2608.27077v12026
Back to Basics: Unsupervised Learning of Optical Flow via Brightness Constancy and Motion Smoothness
Jason J. Yu, Adam W. Harley, Konstantinos G. Derpanis
cs.CVarXiv:1608.05842v12016

Every paper with a summary

Quality Assessment of In-the-Wild Videos

SARAH 3.2: Dirac Gauginos, UFO output, and more

Efficient collective swimming by harnessing vortices through deep reinforcement learning

Recovering Expert Critic-Sourced Network Adjacency between Musical Artists from Acoustic Distributions: A Construct-Validity Approach

On Interpretability of Artificial Neural Networks: A Survey

Quantum reinforcement learning

Can Network Theory-based Targeting Increase Technology Adoption?

One Model, Many Minds: Unlocking Multi-Agent Synergy in a Single Agent via Mixture of Roles

Stereo Magnification: Learning View Synthesis using Multiplane Images

The Intrinsic Dimension of Images and Its Impact on Learning

CritICL: Inference-Time Weak-to-Strong Generalization from Small Language Model Failure Modes

DeepLung: Deep 3D Dual Path Nets for Automated Pulmonary Nodule Detection and Classification

Trading classical and quantum computational resources

Gradient Estimation Using Stochastic Computation Graphs

AgentDV: Closed-Loop Agentic AI for Hardware Design Verification

Real-time Multiple People Tracking with Deeply Learned Candidate Selection and Person Re-Identification

How well developed are altmetrics? A cross-disciplinary analysis of the presence of 'alternative metrics' in scientific publications

Topic Models Conditioned on Arbitrary Features with Dirichlet-multinomial Regression

SegFlow: Joint Learning for Video Object Segmentation and Optical Flow

SpecInfer: Accelerating Generative Large Language Model Serving with Tree-based Speculative Inference and Verification

Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language Models that Follow Instructions

Recurrent Highway Networks

PACE: A Unified Condense-and-Extract Paradigm for Fast VLM Inference

Prior Convictions: Black-Box Adversarial Attacks with Bandits and Priors

Adversarial Uncertainty Quantification in Physics-Informed Neural Networks

NeuS2: Fast Learning of Neural Implicit Surfaces for Multi-view Reconstruction

AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognition

Mitigating Forced Oscillations in Power Systems via Data-Enabled Predictive Control

Statistical ranking and combinatorial Hodge theory

The Cost of Application-Class Processing: Energy and Performance Analysis of a Linux-ready 1.7GHz 64bit RISC-V Core in 22nm FDSOI Technology

Measuring Compositional Generalization: A Comprehensive Method on Realistic Data

Gaussian Processes and Kernel Methods: A Review on Connections and Equivalences

Caching at the Wireless Edge: Design Aspects, Challenges and Future Directions

Mask3D: Mask Transformer for 3D Semantic Instance Segmentation

Learning Cooperative Visual Dialog Agents with Deep Reinforcement Learning

Cone Extended Rayleigh Quotients for Directed Graph Learning: Minimax Spectral Certificates, Sensitivity, and Adaptive Control

MEGA: Multilingual Evaluation of Generative AI

Is synthetic data from generative models ready for image recognition?

Evaluating Verifiability in Generative Search Engines

Hierarchical Neural Architecture Search for Deep Stereo Matching

SSAST: Self-Supervised Audio Spectrogram Transformer

CosyVoice 2: Scalable Streaming Speech Synthesis with Large Language Models

TransMeme: A Multi-Agent Framework for Cross-Cultural Meme Transcreation

pro-team at LLMs4OL 2026 Tasks Flagship and Reuse: Retrieval-Augmented Generation and Vocabulary-Constrained Filtering for Ontology Learning

Adversarially-Informed Node Criticality Identification in Power Grid Measurements

Rate Splitting for MIMO Wireless Networks: A Promising PHY-Layer Strategy for LTE Evolution

Learning Shape Templates with Structured Implicit Functions

Generalizing Koopman Theory to allow for inputs and control

Mixed Transformer U-Net For Medical Image Segmentation

Nonlinear 3D Face Morphable Model

MapTR: Structured Modeling and Learning for Online Vectorized HD Map Construction

Parallel Physics-Informed Neural Networks via Domain Decomposition

Few-Shot Incremental Learning with Continually Evolved Classifiers

Self-regulating Prompts: Foundational Model Adaptation without Forgetting

Security and privacy for 6G: A survey on prospective technologies and challenges

Deep Representation Learning with Part Loss for Person Re-Identification

Finite Basis Physics-Informed Neural Networks (FBPINNs): a scalable domain decomposition approach for solving differential equations

COVID-19 identification in chest X-ray images on flat and hierarchical classification scenarios

Learning Transverse Momentum Distributions from Raw Scattering Events via Conditional Diffusion

Back to Basics: Unsupervised Learning of Optical Flow via Brightness Constancy and Motion Smoothness