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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35,221 to 35,280 of 61,393

SPARF: Neural Radiance Fields from Sparse and Noisy Poses
Prune Truong, Marie-Julie Rakotosaona, Fabian Manhardt +1
cs.CVarXiv:2211.11738v32022
Ergodic Interference Alignment
Bobak Nazer, Michael Gastpar, Syed A. Jafar +1
cs.ITarXiv:0901.4379v32009
An Exploration of 2D and 3D Deep Learning Techniques for Cardiac MR Image Segmentation
Christian F. Baumgartner, Lisa M. Koch, Marc Pollefeys +1
cs.CVarXiv:1709.04496v22017
Targeted Supervised Contrastive Learning for Long-Tailed Recognition
Tianhong Li, Peng Cao, Yuan Yuan +5
cs.CVarXiv:2111.13998v22021
Generalized Context in Cross Attention for Transfer Learning of Disjoint Tabular Data
Kazi F. Akhter, Ibna Kowsar, Manar D. Samad
cs.LGarXiv:2608.28209v12026
A Physics-based Noise Formation Model for Extreme Low-light Raw Denoising
Kaixuan Wei, Ying Fu, Jiaolong Yang +1
eess.IVcs.CVarXiv:2003.12751v22020
Direction of arrival estimation for multiple sound sources using convolutional recurrent neural network
Sharath Adavanne, Archontis Politis, Tuomas Virtanen
cs.SDcs.LGeess.ASarXiv:1710.10059v22017
Probabilistic two-stage detection
Xingyi Zhou, Vladlen Koltun, Philipp Krähenbühl
cs.CVarXiv:2103.07461v12021
WANLI: Worker and AI Collaboration for Natural Language Inference Dataset Creation
Alisa Liu, Swabha Swayamdipta, Noah A. Smith +1
cs.CLarXiv:2201.05955v52022
InfoNeRF: Ray Entropy Minimization for Few-Shot Neural Volume Rendering
Mijeong Kim, Seonguk Seo, Bohyung Han
cs.CVcs.GReess.IVarXiv:2112.15399v22021
Spatial Group-wise Enhance: Improving Semantic Feature Learning in Convolutional Networks
Xiang Li, Xiaolin Hu, Jian Yang
cs.CVarXiv:1905.09646v22019
On Distributionally Robust Chance Constrained Programs with Wasserstein Distance
Weijun Xie
math.OCarXiv:1806.07418v42018
Training-Free Temporal Abstraction for General Video Understanding
Etienne Casanova, Sevan Brodjian, Pietro Perona
cs.CVarXiv:2608.27929v12026
Learning Placeholders for Open-Set Recognition
Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan
cs.CVarXiv:2103.15086v12021
SALAD-Bench: A Hierarchical and Comprehensive Safety Benchmark for Large Language Models
Lijun Li, Bowen Dong, Ruohui Wang +5
cs.CLcs.AIcs.CRarXiv:2402.05044v42024
Eigenvector centrality of nodes in multiplex networks
Luis Sola, Miguel Romance, Regino Criado +3
physics.soc-phcs.SIarXiv:1305.7445v22013
Random Walks: A Review of Algorithms and Applications
Feng Xia, Jiaying Liu, Hansong Nie +3
cs.SIcs.LGphysics.data-anarXiv:2008.03639v12020
Will Artificial Intelligence supersede Earth System and Climate Models?
Christopher Irrgang, Niklas Boers, Maike Sonnewald +4
stat.MLcs.LGphysics.ao-pharXiv:2101.09126v12021
RoboGen: Towards Unleashing Infinite Data for Automated Robot Learning via Generative Simulation
Yufei Wang, Zhou Xian, Feng Chen +6
cs.ROcs.AIcs.CVarXiv:2311.01455v32023
A Survey on Deep Hashing Methods
Xiao Luo, Haixin Wang, Daqing Wu +4
cs.CVarXiv:2003.03369v52020
CoupleNet: Coupling Global Structure with Local Parts for Object Detection
Yousong Zhu, Chaoyang Zhao, Jinqiao Wang +3
cs.CVarXiv:1708.02863v12017
Robust Joint Beamforming and Configuration Design in FARIS-Aided Systems
Hong-Bae Jeon, Yonghwi Kim, Hyung-Joo Moon +1
eess.SParXiv:2608.27835v12026
Enabling Secure Wireless Communications for FARIS-Aided Systems
Hong-Bae Jeon, Yonghwi Kim, Hyung-Joo Moon +1
eess.SParXiv:2608.27837v12026
Hyperspectral Image Classification with Attention Aided CNNs
Renlong Hang, Zhu Li, Qingshan Liu +2
eess.IVcs.CVarXiv:2005.11977v22020
Coefficient estimates for bi-univalent Ma-Minda starlike and convex functions
Rosihan M. Ali, Lee See Keong, V. Ravichandran +1
math.CVarXiv:1108.4087v12011
Horizon-Dependent Tube MPC for Elliptical-Orbit Rendezvous Under Mass Uncertainty
Omer Burak Iskender, Keck-Voon Ling
eess.SYastro-ph.IMphysics.space-pharXiv:2608.27659v12026
Vine disease detection in UAV multispectral images with deep learning segmentation approach
Mohamed Kerkech, Adel Hafiane, Raphael Canals
eess.IVarXiv:1912.05281v12019
A Prospective Look: Key Enabling Technologies, Applications and Open Research Topics in 6G Networks
Lina Bariah, Lina Mohjazi, Sami Muhaidat +4
eess.SParXiv:2004.06049v22020
Quantum Computer Systems for Scientific Discovery
Yuri Alexeev, Dave Bacon, Kenneth R. Brown +21
quant-phcond-mat.otherhep-latarXiv:1912.07577v32019
Sensor Networks with Random Links: Topology Design for Distributed Consensus
Soummya Kar, Jose M. F. Moura
cs.ITcs.LGarXiv:0704.0954v12007
Relational Knowledge Distillation Brings DNN Representations Close Enough to Humans to Be Aligned Without Supervision
Yuria Shimizu, Soh Takahashi, Takato Horii +1
cs.CVq-bio.NCarXiv:2608.27877v12026
Medical SAM 2: Segment medical images as video via Segment Anything Model 2
Jiayuan Zhu, Abdullah Hamdi, Yunli Qi +2
cs.CVarXiv:2408.00874v22024
Heterogeneous Graph Contrastive Learning for Recommendation
Mengru Chen, Chao Huang, Lianghao Xia +3
cs.IRarXiv:2303.00995v12023
Category-Level Articulated Object Pose Estimation
Xiaolong Li, He Wang, Li Yi +3
cs.CVcs.AIcs.ROarXiv:1912.11913v22019
SceneGraphFusion: Incremental 3D Scene Graph Prediction from RGB-D Sequences
Shun-Cheng Wu, Johanna Wald, Keisuke Tateno +2
cs.CVcs.LGarXiv:2103.14898v32021
On the Numerical Evaluation of Fredholm Determinants
Folkmar Bornemann
math.NAmath.FAarXiv:0804.2543v22008
Theoretical Analysis of Self-Training with Deep Networks on Unlabeled Data
Colin Wei, Kendrick Shen, Yining Chen +1
cs.LGstat.MLarXiv:2010.03622v52020
Be More with Less: Hypergraph Attention Networks for Inductive Text Classification
Kaize Ding, Jianling Wang, Jundong Li +2
cs.CLarXiv:2011.00387v12020
MM-DFN: Multimodal Dynamic Fusion Network for Emotion Recognition in Conversations
Dou Hu, Xiaolong Hou, Lingwei Wei +2
cs.CLcs.AIcs.MMarXiv:2203.02385v12022
Fast Time-Domain MLE for Period Estimation of Pulse Trains
Sebastian Schertler, Daniel Guger, Stefan Schuster +5
eess.SParXiv:2608.28162v12026
Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference
Shell Xu Hu, Da Li, Jan Stühmer +2
cs.CVcs.LGarXiv:2204.07305v12022
Node-wise Feature Encoding for Neural Performance Prediction
Matthew Grenier, William Hammer, Andrew Heuer +3
cs.LGarXiv:2608.27794v12026
Contrastive Semi-supervised Learning for Underwater Image Restoration via Reliable Bank
Shirui Huang, Keyan Wang, Huan Liu +2
cs.CVarXiv:2303.09101v42023
Network Pruning via Transformable Architecture Search
Xuanyi Dong, Yi Yang
cs.CVarXiv:1905.09717v52019
MASt3R-SLAM: Real-Time Dense SLAM with 3D Reconstruction Priors
Riku Murai, Eric Dexheimer, Andrew J. Davison
cs.CVcs.ROarXiv:2412.12392v22024
Every Pixel Matters: Center-aware Feature Alignment for Domain Adaptive Object Detector
Cheng-Chun Hsu, Yi-Hsuan Tsai, Yen-Yu Lin +1
cs.CVarXiv:2008.08574v12020
PU-GCN: Point Cloud Upsampling using Graph Convolutional Networks
Guocheng Qian, Abdulellah Abualshour, Guohao Li +2
cs.CVcs.CGcs.LGarXiv:1912.03264v32019
Riemannian SVRG: Fast Stochastic Optimization on Riemannian Manifolds
Hongyi Zhang, Sashank J. Reddi, Suvrit Sra
math.OCcs.LGarXiv:1605.07147v22016
Learning from Between-class Examples for Deep Sound Recognition
Yuji Tokozume, Yoshitaka Ushiku, Tatsuya Harada
cs.LGcs.SDeess.ASarXiv:1711.10282v22017
Quadratic video interpolation
Xiangyu Xu, Li Siyao, Wenxiu Sun +2
cs.CVarXiv:1911.00627v12019
Part-based Pseudo Label Refinement for Unsupervised Person Re-identification
Yoonki Cho, Woo Jae Kim, Seunghoon Hong +1
cs.CVarXiv:2203.14675v12022
SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression
Xin Wang, Yu Zheng, Zhongwei Wan +1
cs.CLcs.LGarXiv:2403.07378v52024
Model-Free Data-Driven Inelasticity
Robert Eggersmann, Trenton Kirchdoerfer, Stefanie Reese +2
cs.CEphysics.comp-pharXiv:1808.10859v22018
Quantum Information Scrambling in a Superconducting Qutrit Processor
M. S. Blok, V. V. Ramasesh, T. Schuster +7
quant-pharXiv:2003.03307v22020
Transfer from Simulation to Real World through Learning Deep Inverse Dynamics Model
Paul Christiano, Zain Shah, Igor Mordatch +5
cs.ROcs.AIcs.LGarXiv:1610.03518v12016
Distributed event-triggered coordination for average consensus on weight-balanced digraphs
Cameron Nowzari, Jorge Cortes
math.OCarXiv:1407.7921v32014
A soft thumb-sized vision-based sensor with accurate all-round force perception
Huanbo Sun, Katherine J. Kuchenbecker, Georg Martius
cs.ROcs.CVcs.LGarXiv:2111.05934v12021
Predicting the direction of stock market prices using random forest
Luckyson Khaidem, Snehanshu Saha, Sudeepa Roy Dey
cs.LGcs.CEarXiv:1605.00003v12016
Ada-TokenCom: Rate-Adaptive Token Communications via Large-Model-Driven Token Compression and Generation
Zijun Zhang, Li Qiao, Mahdi Boloursaz Mashhadi +3
cs.ITcs.CVeess.IVarXiv:2608.28086v12026
Gaussian-Flow: 4D Reconstruction with Dynamic 3D Gaussian Particle
Youtian Lin, Zuozhuo Dai, Siyu Zhu +1
cs.CVarXiv:2312.03431v12023

Every paper with a summary

SPARF: Neural Radiance Fields from Sparse and Noisy Poses

Ergodic Interference Alignment

An Exploration of 2D and 3D Deep Learning Techniques for Cardiac MR Image Segmentation

Targeted Supervised Contrastive Learning for Long-Tailed Recognition

Generalized Context in Cross Attention for Transfer Learning of Disjoint Tabular Data

A Physics-based Noise Formation Model for Extreme Low-light Raw Denoising

Direction of arrival estimation for multiple sound sources using convolutional recurrent neural network

Probabilistic two-stage detection

WANLI: Worker and AI Collaboration for Natural Language Inference Dataset Creation

InfoNeRF: Ray Entropy Minimization for Few-Shot Neural Volume Rendering

Spatial Group-wise Enhance: Improving Semantic Feature Learning in Convolutional Networks

On Distributionally Robust Chance Constrained Programs with Wasserstein Distance

Training-Free Temporal Abstraction for General Video Understanding

Learning Placeholders for Open-Set Recognition

SALAD-Bench: A Hierarchical and Comprehensive Safety Benchmark for Large Language Models

Eigenvector centrality of nodes in multiplex networks

Random Walks: A Review of Algorithms and Applications

Will Artificial Intelligence supersede Earth System and Climate Models?

RoboGen: Towards Unleashing Infinite Data for Automated Robot Learning via Generative Simulation

A Survey on Deep Hashing Methods

CoupleNet: Coupling Global Structure with Local Parts for Object Detection

Robust Joint Beamforming and Configuration Design in FARIS-Aided Systems

Enabling Secure Wireless Communications for FARIS-Aided Systems

Hyperspectral Image Classification with Attention Aided CNNs

Coefficient estimates for bi-univalent Ma-Minda starlike and convex functions

Horizon-Dependent Tube MPC for Elliptical-Orbit Rendezvous Under Mass Uncertainty

Vine disease detection in UAV multispectral images with deep learning segmentation approach

A Prospective Look: Key Enabling Technologies, Applications and Open Research Topics in 6G Networks

Quantum Computer Systems for Scientific Discovery

Sensor Networks with Random Links: Topology Design for Distributed Consensus

Relational Knowledge Distillation Brings DNN Representations Close Enough to Humans to Be Aligned Without Supervision

Medical SAM 2: Segment medical images as video via Segment Anything Model 2

Heterogeneous Graph Contrastive Learning for Recommendation

Category-Level Articulated Object Pose Estimation

SceneGraphFusion: Incremental 3D Scene Graph Prediction from RGB-D Sequences

On the Numerical Evaluation of Fredholm Determinants

Theoretical Analysis of Self-Training with Deep Networks on Unlabeled Data

Be More with Less: Hypergraph Attention Networks for Inductive Text Classification

MM-DFN: Multimodal Dynamic Fusion Network for Emotion Recognition in Conversations

Fast Time-Domain MLE for Period Estimation of Pulse Trains

Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference

Node-wise Feature Encoding for Neural Performance Prediction

Contrastive Semi-supervised Learning for Underwater Image Restoration via Reliable Bank

Network Pruning via Transformable Architecture Search

MASt3R-SLAM: Real-Time Dense SLAM with 3D Reconstruction Priors

Every Pixel Matters: Center-aware Feature Alignment for Domain Adaptive Object Detector

PU-GCN: Point Cloud Upsampling using Graph Convolutional Networks

Riemannian SVRG: Fast Stochastic Optimization on Riemannian Manifolds

Learning from Between-class Examples for Deep Sound Recognition

Quadratic video interpolation

Part-based Pseudo Label Refinement for Unsupervised Person Re-identification

SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression

Model-Free Data-Driven Inelasticity

Quantum Information Scrambling in a Superconducting Qutrit Processor

Transfer from Simulation to Real World through Learning Deep Inverse Dynamics Model

Distributed event-triggered coordination for average consensus on weight-balanced digraphs

A soft thumb-sized vision-based sensor with accurate all-round force perception

Predicting the direction of stock market prices using random forest

Ada-TokenCom: Rate-Adaptive Token Communications via Large-Model-Driven Token Compression and Generation

Gaussian-Flow: 4D Reconstruction with Dynamic 3D Gaussian Particle