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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27,541 to 27,600 of 61,350

Temporal Attentive Alignment for Large-Scale Video Domain Adaptation
Min-Hung Chen, Zsolt Kira, Ghassan AlRegib +3
cs.CVcs.LGcs.MMarXiv:1907.12743v62019
Genuine Information Needs of Social Scientists Looking for Data
Andrea Papenmeier, Thomas Krämer, Tanja Friedrich +2
cs.IRarXiv:2609.02303v12026
Unmanned Aerial Vehicle for Internet of Everything: Opportunities and Challenges
Yalin Liu, Hong-Ning Dai, Qubeijian Wang +2
cs.NIeess.SParXiv:2003.13311v22020
Uncertainty-Guided Adverse Weather Restoration via Gated Transformer Network
Zheke Jin, Yuning Cui, Tianle Jin +2
cs.CVarXiv:2609.02434v12026
SCLIP: Rethinking Self-Attention for Dense Vision-Language Inference
Feng Wang, Jieru Mei, Alan Yuille
cs.CVarXiv:2312.01597v42023
Meta-learning approaches for few-shot learning: A survey of recent advances
Hassan Gharoun, Fereshteh Momenifar, Fang Chen +1
cs.LGcs.AIarXiv:2303.07502v12023
Sampling-Based Motion Planning: A Comparative Review
Andreas Orthey, Constantinos Chamzas, Lydia E. Kavraki
cs.ROarXiv:2309.13119v12023
A Review of AI-enabled Routing Protocols for UAV Networks: Trends, Challenges, and Future Outlook
Arnau Rovira-Sugranes, Abolfazl Razi, Fatemeh Afghah +1
cs.NIarXiv:2104.01283v22021
The Revolution of Multimodal Large Language Models: A Survey
Davide Caffagni, Federico Cocchi, Luca Barsellotti +6
cs.CVcs.AIcs.CLarXiv:2402.12451v22024
Symmetries and many-body excited states with neural-network quantum states
Kenny Choo, Giuseppe Carleo, Nicolas Regnault +1
cond-mat.str-elcond-mat.dis-nnquant-pharXiv:1807.03325v12018
Linear Fusion MultiDiffusion for Fast Training-Free Spherical Panorama Generation
Akio Hayakawa, Yusuke Mukuta, Tatsuya Harada
cs.CVcs.LGarXiv:2609.01997v12026
Learning to Compose and Reason with Language Tree Structures for Visual Grounding
Richang Hong, Daqing Liu, Xiaoyu Mo +2
cs.CVarXiv:1906.01784v12019
Learning to Infer Implicit Surfaces without 3D Supervision
Shichen Liu, Shunsuke Saito, Weikai Chen +1
cs.CVcs.GRarXiv:1911.00767v12019
Swarm of UAVs for Network Management in 6G: A Technical Review
Muhammad Asghar Khan, Neeraj Kumar, Syed Agha Hassnain Mohsan +5
cs.NIeess.SParXiv:2210.03234v12022
SonicCaps: Large-Scale Diverse and Fine-Grained Captioning for Improved Audio-Retrieval
Zineb Lahrichi, Marc Ferras, Gaël Richard +1
cs.SDcs.CLcs.MMarXiv:2609.02343v12026
Direct and Reverse Secret-Key Capacities of a Quantum Channel
Stefano Pirandola, Raul Garcia-Patron, Samuel L. Braunstein +1
quant-phcs.CRcs.ITarXiv:0809.3273v22008
Simultaneous Super-Resolution and Cross-Modality Synthesis of 3D Medical Images using Weakly-Supervised Joint Convolutional Sparse Coding
Yawen Huang, Ling Shao, Alejandro F. Frangi
cs.CVarXiv:1705.02596v12017
Leveraging Time-Causal State Variable Aggregation for Real-Time Schedule of Massive Air Conditioners
Jingguan Liu, Xiaomeng Ai, Shichang Cui +5
eess.SYarXiv:2609.02410v12026
Completing density functional theory by machine-learning hidden messages from molecules
Ryo Nagai, Ryosuke Akashi, Osamu Sugino
physics.comp-phphysics.chem-pharXiv:1903.00238v52019
Bidirectional CFO Separation for Radial Velocity Estimation In 5G NR TDD V2X Links
Mohamed Elamine Benattia, Huseyin Arslan
eess.SParXiv:2609.02258v12026
Effective mode volumes and Purcell factors for leaky optical cavities
Philip Trøst Kristensen, Cole Van Vlack, Stephen Hughes
math-phphysics.comp-phphysics.opticsarXiv:1107.4601v12011
Likelihood Robust Optimization for Data-driven Problems
Zizhuo Wang, Peter Glynn, Yinyu Ye
math.OCarXiv:1307.6279v32013
Designing allostery-inspired response in mechanical networks
Jason W. Rocks, Nidhi Pashine, Irmgard Bischofberger +3
cond-mat.softarXiv:1607.08562v12016
Almost Envy-Freeness for Additive Mixed Manna with Entitlements: Deterministic and Randomized Guarantees
Zehan Lin, Shengxin Liu, Biaoshuai Tao +1
cs.GTarXiv:2609.02724v12026
A Berkeley View of Systems Challenges for AI
Ion Stoica, Dawn Song, Raluca Ada Popa +11
cs.AIarXiv:1712.05855v12017
Intrinsically Motivated Goal Exploration Processes with Automatic Curriculum Learning
Sébastien Forestier, Rémy Portelas, Yoan Mollard +1
cs.AIcs.LGarXiv:1708.02190v32017
Continuous-Time Aggregation of Massive Flexible HVAC Loads Considering Uncertainty for Reserve Provision in Power System Dispatch
Jingguan Liu, Xiaomeng Ai, Jiakun Fang +4
eess.SYarXiv:2609.02408v12026
A Top-Down Framework for Metric-Scale Athlete Localization from Single Broadcast Frames
Thanh-Khoi Nguyen, Hoang-Phuc Nguyen, Linh-Huynh +1
cs.CVarXiv:2609.02705v12026
Ternary Compression for Communication-Efficient Federated Learning
Jinjin Xu, Wenli Du, Ran Cheng +2
cs.LGcs.DCstat.MLarXiv:2003.03564v22020
Identifying Corresponding Patches in SAR and Optical Images with a Pseudo-Siamese CNN
Lloyd H. Hughes, Michael Schmitt, Lichao Mou +2
eess.IVcs.CVarXiv:1801.08467v12018
TAME: Temporal-Aware Mixture-of-Experts for Text-Video Retrieval
Uicheol Jung, Juyoung Hong, Hojung Kwon +1
cs.CVarXiv:2609.02204v12026
Individualization as driving force of clustering phenomena in humans
Michael Mäs, Andreas Flache, Dirk Helbing
physics.soc-pharXiv:1007.5391v12010
NeRFactor: Neural Factorization of Shape and Reflectance Under an Unknown Illumination
Xiuming Zhang, Pratul P. Srinivasan, Boyang Deng +3
cs.CVcs.GRarXiv:2106.01970v22021
Statistical Parametric Speech Synthesis Incorporating Generative Adversarial Networks
Yuki Saito, Shinnosuke Takamichi, Hiroshi Saruwatari
cs.SDcs.LGeess.ASarXiv:1709.08041v12017
Predicting Race and Ethnicity From the Sequence of Characters in a Name
Rajashekar Chintalapati, Suriyan Laohaprapanon, Gaurav Sood
stat.APstat.MLarXiv:1805.02109v22018
Faster quantum simulation by randomization
Andrew M. Childs, Aaron Ostrander, Yuan Su
quant-pharXiv:1805.08385v22018
Context-aware Sequential Recommendation
Qiang Liu, Shu Wu, Diyi Wang +2
cs.IRcs.AIarXiv:1609.05787v12016
Towards Verified Artificial Intelligence
Sanjit A. Seshia, Dorsa Sadigh, S. Shankar Sastry
cs.AIarXiv:1606.08514v42016
Named Entity Recognition and Classification on Historical Documents: A Survey
Maud Ehrmann, Ahmed Hamdi, Elvys Linhares Pontes +2
cs.CLcs.LGarXiv:2109.11406v12021
SciMON: Scientific Inspiration Machines Optimized for Novelty
Qingyun Wang, Doug Downey, Heng Ji +1
cs.CLcs.AIcs.LGarXiv:2305.14259v72023
A Comparative Study of Load Balancing Algorithms in Cloud Computing Environment
Mayanka Katyal, Atul Mishra
cs.DCarXiv:1403.6918v12014
ElasTraS: An Elastic Transactional Data Store in the Cloud
Sudipto Das, Divyakant Agrawal, Amr El Abbadi
cs.DBarXiv:1008.3751v12010
Machine Learning with a Reject Option: A survey
Kilian Hendrickx, Lorenzo Perini, Dries Van der Plas +2
cs.LGcs.AIarXiv:2107.11277v32021
Review of multimodal machine learning approaches in healthcare
Felix Krones, Umar Marikkar, Guy Parsons +2
cs.LGcs.AIcs.CVarXiv:2402.02460v22024
Reed-Muller Codes Achieve Capacity on Erasure Channels
Santhosh Kumar, Henry D. Pfister
cs.ITarXiv:1505.05123v22015
Constructive Multiuser Interference in Symbol Level Precoding for the MISO Downlink Channel
Maha Alodeh, Symeon Chatzinotas, Björn Ottersten
cs.ITarXiv:1408.4700v12014
RichDreamer: A Generalizable Normal-Depth Diffusion Model for Detail Richness in Text-to-3D
Lingteng Qiu, Guanying Chen, Xiaodong Gu +7
cs.CVcs.AIarXiv:2311.16918v22023
FairVis: Visual Analytics for Discovering Intersectional Bias in Machine Learning
Ángel Alexander Cabrera, Will Epperson, Fred Hohman +3
cs.LGstat.MLarXiv:1904.05419v42019
Neural Task Programming: Learning to Generalize Across Hierarchical Tasks
Danfei Xu, Suraj Nair, Yuke Zhu +4
cs.AIcs.LGcs.ROarXiv:1710.01813v22017
The Zwicky Transient Facility: Surveys and Scheduler
Eric C. Bellm, Shrinivas R. Kulkarni, Tom Barlow +11
astro-ph.IMarXiv:1905.02209v12019
Learning from History and Present: Next-item Recommendation via Discriminatively Exploiting User Behaviors
Zhi Li, Hongke Zhao, Qi Liu +3
cs.IRarXiv:1808.01075v12018
3DGen: Triplane Latent Diffusion for Textured Mesh Generation
Anchit Gupta, Wenhan Xiong, Yixin Nie +2
cs.CVcs.GRarXiv:2303.05371v22023
Delay-aware and Energy-Efficient Computation Offloading in Mobile Edge Computing Using Deep Reinforcement Learning
Laha Ale, Ning Zhang, Xiaojie Fang +3
cs.NIarXiv:2103.07811v12021
Unified Motion Retargeting for Humanoids with Learned Point Cloud Correspondence
Hanyang Cao, Yuetong Fang, Taesoo Kwon +10
cs.ROcs.GRarXiv:2609.02134v12026
A Tri-Agent Framework for Evaluating and Aligning Question Clarification Capabilities of Large Language Models
Yikai Zhao, Saurabh Pandey, Pradeep Kumar Misra
cs.CLarXiv:2609.02054v12026
The fractional Laplacian operator on bounded domains as a special case of the nonlocal diffusion operator
Marta D'Elia, Max Gunzburger
math.APmath.NAarXiv:1303.6934v12013
Multi-scale Convolutional Neural Networks for Crowd Counting
Lingke Zeng, Xiangmin Xu, Bolun Cai +2
cs.CVarXiv:1702.02359v12017
Scaling Deep Learning-based Decoding of Polar Codes via Partitioning
Sebastian Cammerer, Tobias Gruber, Jakob Hoydis +1
cs.ITarXiv:1702.06901v12017
Going Beyond the Debye Length: Overcoming Charge Screening Limitations in Next-Generation Bioelectronic Sensors
Vladimir Kesler, Boris Murmann, H. Tom Soh
physics.app-pheess.SYphysics.bio-pharXiv:2007.13201v12020
Seeing Beyond the Lesion: Disease Recognition from Reactive CNS Tissue
Jan Schnorrenberg, Jan Ernsting, Enrico Küllenberg +3
eess.IVcs.CVq-bio.TOarXiv:2609.02390v12026

Every paper with a summary

Temporal Attentive Alignment for Large-Scale Video Domain Adaptation

Genuine Information Needs of Social Scientists Looking for Data

Unmanned Aerial Vehicle for Internet of Everything: Opportunities and Challenges

Uncertainty-Guided Adverse Weather Restoration via Gated Transformer Network

SCLIP: Rethinking Self-Attention for Dense Vision-Language Inference

Meta-learning approaches for few-shot learning: A survey of recent advances

Sampling-Based Motion Planning: A Comparative Review

A Review of AI-enabled Routing Protocols for UAV Networks: Trends, Challenges, and Future Outlook

The Revolution of Multimodal Large Language Models: A Survey

Symmetries and many-body excited states with neural-network quantum states

Linear Fusion MultiDiffusion for Fast Training-Free Spherical Panorama Generation

Learning to Compose and Reason with Language Tree Structures for Visual Grounding

Learning to Infer Implicit Surfaces without 3D Supervision

Swarm of UAVs for Network Management in 6G: A Technical Review

SonicCaps: Large-Scale Diverse and Fine-Grained Captioning for Improved Audio-Retrieval

Direct and Reverse Secret-Key Capacities of a Quantum Channel

Simultaneous Super-Resolution and Cross-Modality Synthesis of 3D Medical Images using Weakly-Supervised Joint Convolutional Sparse Coding

Leveraging Time-Causal State Variable Aggregation for Real-Time Schedule of Massive Air Conditioners

Completing density functional theory by machine-learning hidden messages from molecules

Bidirectional CFO Separation for Radial Velocity Estimation In 5G NR TDD V2X Links

Effective mode volumes and Purcell factors for leaky optical cavities

Likelihood Robust Optimization for Data-driven Problems

Designing allostery-inspired response in mechanical networks

Almost Envy-Freeness for Additive Mixed Manna with Entitlements: Deterministic and Randomized Guarantees

A Berkeley View of Systems Challenges for AI

Intrinsically Motivated Goal Exploration Processes with Automatic Curriculum Learning

Continuous-Time Aggregation of Massive Flexible HVAC Loads Considering Uncertainty for Reserve Provision in Power System Dispatch

A Top-Down Framework for Metric-Scale Athlete Localization from Single Broadcast Frames

Ternary Compression for Communication-Efficient Federated Learning

Identifying Corresponding Patches in SAR and Optical Images with a Pseudo-Siamese CNN

TAME: Temporal-Aware Mixture-of-Experts for Text-Video Retrieval

Individualization as driving force of clustering phenomena in humans

NeRFactor: Neural Factorization of Shape and Reflectance Under an Unknown Illumination

Statistical Parametric Speech Synthesis Incorporating Generative Adversarial Networks

Predicting Race and Ethnicity From the Sequence of Characters in a Name

Faster quantum simulation by randomization

Context-aware Sequential Recommendation

Towards Verified Artificial Intelligence

Named Entity Recognition and Classification on Historical Documents: A Survey

SciMON: Scientific Inspiration Machines Optimized for Novelty

A Comparative Study of Load Balancing Algorithms in Cloud Computing Environment

ElasTraS: An Elastic Transactional Data Store in the Cloud

Machine Learning with a Reject Option: A survey

Review of multimodal machine learning approaches in healthcare

Reed-Muller Codes Achieve Capacity on Erasure Channels

Constructive Multiuser Interference in Symbol Level Precoding for the MISO Downlink Channel

RichDreamer: A Generalizable Normal-Depth Diffusion Model for Detail Richness in Text-to-3D

FairVis: Visual Analytics for Discovering Intersectional Bias in Machine Learning

Neural Task Programming: Learning to Generalize Across Hierarchical Tasks

The Zwicky Transient Facility: Surveys and Scheduler

Learning from History and Present: Next-item Recommendation via Discriminatively Exploiting User Behaviors

3DGen: Triplane Latent Diffusion for Textured Mesh Generation

Delay-aware and Energy-Efficient Computation Offloading in Mobile Edge Computing Using Deep Reinforcement Learning

Unified Motion Retargeting for Humanoids with Learned Point Cloud Correspondence

A Tri-Agent Framework for Evaluating and Aligning Question Clarification Capabilities of Large Language Models

The fractional Laplacian operator on bounded domains as a special case of the nonlocal diffusion operator

Multi-scale Convolutional Neural Networks for Crowd Counting

Scaling Deep Learning-based Decoding of Polar Codes via Partitioning

Going Beyond the Debye Length: Overcoming Charge Screening Limitations in Next-Generation Bioelectronic Sensors

Seeing Beyond the Lesion: Disease Recognition from Reactive CNS Tissue