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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5,941 to 6,000 of 61,383

Face Recognition Using Deep Multi-Pose Representations
Wael AbdAlmageed, Yue Wua, Stephen Rawlsa +9
cs.CVarXiv:1603.07388v12016
Multiple Source Adaptation and the Renyi Divergence
Yishay Mansour, Mehryar Mohri, Afshin Rostamizadeh
cs.LGstat.MLarXiv:1205.2628v12012
Data Mining : A prediction of performer or underperformer using classification
Umesh Kumar Pandey, Saurabh Pal
cs.DBcs.IRarXiv:1104.4163v12011
PreDiff: Precipitation Nowcasting with Latent Diffusion Models
Zhihan Gao, Xingjian Shi, Boran Han +6
cs.LGcs.AIcs.CVarXiv:2307.10422v22023
Closing the gap between software engineering education and industrial needs
Vahid Garousi, Görkem Giray, Eray Tüzün +2
cs.SEarXiv:1812.01954v12018
Steering Diffusion Priors with Sparse Observations for High-Resolution Temperature Downscaling
Anirudh Avireddy, Manmeet Singh, Shivanshi Singh +4
physics.ao-phcs.LGarXiv:2609.09247v12026
AirSync: Enabling Distributed Multiuser MIMO with Full Spatial Multiplexing
Horia Vlad Balan, Ryan Rogalin, Antonios Michaloliakos +2
cs.NIarXiv:1205.6862v22012
Neural Adaptive Sequential Monte Carlo
Shixiang Gu, Zoubin Ghahramani, Richard E. Turner
cs.LGstat.MLarXiv:1506.03338v32015
Rethinking floating point for deep learning
Jeff Johnson
math.NAcs.LGarXiv:1811.01721v12018
Person Following by Autonomous Robots: A Categorical Overview
Md Jahidul Islam, Jungseok Hong, Junaed Sattar
cs.ROarXiv:1803.08202v42018
Cost-Aware Post-Hoc Deferral Under Calibration and Shift: An Environmental AI Case Study
Haoran Yu, Lifei Liu, Danping Zhang
cs.SEcs.LGarXiv:2609.09235v12026
Progressive-Hint Prompting Improves Reasoning in Large Language Models
Chuanyang Zheng, Zhengying Liu, Enze Xie +2
cs.CLcs.LGarXiv:2304.09797v62023
Transfer learning for solvation free energies: from quantum chemistry to experiments
Florence H. Vermeire, William H. Green
physics.chem-pharXiv:2012.11730v22020
Hierarchical Federated Learning with Quantization: Convergence Analysis and System Design
Lumin Liu, Jun Zhang, Shenghui Song +1
cs.LGarXiv:2103.14272v22021
A positive resolution of the gap-entropy conjecture
P. M. Aronow, Nathan Kallus, Patrick Lopatto
cs.LGstat.MLarXiv:2609.10529v12026
Cologne: A Declarative Distributed Constraint Optimization Platform
Changbin Liu, Lu Ren, Boon Thau Loo +2
cs.DBarXiv:1204.6080v12012
A Subsampled Davis-Kahan Bound for Large-Scale Eigenspace Estimation
Huan Qing
stat.MLcs.LGstat.MEarXiv:2609.09211v12026
CubiCasa5K: A Dataset and an Improved Multi-Task Model for Floorplan Image Analysis
Ahti Kalervo, Juha Ylioinas, Markus Häikiö +2
cs.CVarXiv:1904.01920v12019
GOAT: GO to Any Thing
Matthew Chang, Theophile Gervet, Mukul Khanna +10
cs.ROarXiv:2311.06430v12023
Building and Evaluation of a Real Room Impulse Response Dataset
Igor Szoke, Miroslav Skacel, Ladislav Mosner +2
eess.ASarXiv:1811.06795v22018
Control Barrier Functions for Stochastic Systems
Andrew Clark
math.OCarXiv:2003.03498v22020
TEACHTEXT: CrossModal Generalized Distillation for Text-Video Retrieval
Ioana Croitoru, Simion-Vlad Bogolin, Marius Leordeanu +4
cs.CVarXiv:2104.08271v22021
Efficient Dataset Distillation Using Random Feature Approximation
Noel Loo, Ramin Hasani, Alexander Amini +1
cs.LGcs.AIcs.NEarXiv:2210.12067v12022
"Transforming" LHCb: self-supervised maps of heavy-flavour decays
Marko Stamenkovic, Greg Landsberg
hep-excs.LGarXiv:2609.09275v12026
A multilevel thresholding algorithm using Electromagnetism Optimization
Diego Oliva, Erik Cuevas, Gonzalo Pajares +2
cs.CVarXiv:1406.6336v12014
Tensor Network Moral Graph Recovery of Discrete Probability Distributions
Á. Troyano Olivas, Chi-Hang Fred Fung, Hans H. Brunner +2
stat.MLcs.ITcs.LGarXiv:2609.09258v12026
Robust and fine-grained prosody control of end-to-end speech synthesis
Younggun Lee, Taesu Kim
cs.CLcs.LGcs.SDarXiv:1811.02122v22018
Novel Visual Category Discovery with Dual Ranking Statistics and Mutual Knowledge Distillation
Bingchen Zhao, Kai Han
cs.CVarXiv:2107.03358v22021
CAST: Canonical Approximate Schur Tree for Approximate Cholesky on Graphs
Meher Chaitanya, Cameron Musco, Aristides Gionis
stat.MLcs.LGmath.NAarXiv:2609.09255v12026
MSeg3D: Multi-modal 3D Semantic Segmentation for Autonomous Driving
Jiale Li, Hang Dai, Hao Han +1
cs.CVarXiv:2303.08600v12023
Beyond Physical Connections: Tree Models in Human Pose Estimation
Fang Wang, Yi Li
cs.CVarXiv:1305.2269v12013
Quantile Regression Under Memory Constraint
Xi Chen, Weidong Liu, Yichen Zhang
stat.MEecon.EMstat.MLarXiv:1810.08264v12018
Multi-Angle Point Cloud-VAE: Unsupervised Feature Learning for 3D Point Clouds from Multiple Angles by Joint Self-Reconstruction and Half-to-Half Prediction
Zhizhong Han, Xiyang Wang, Yu-Shen Liu +1
cs.CVarXiv:1907.12704v12019
VGCN-BERT: Augmenting BERT with Graph Embedding for Text Classification
Zhibin Lu, Pan Du, Jian-Yun Nie
cs.CLcs.LGstat.MLarXiv:2004.05707v12020
In-Context Learning with Long-Context Models: An In-Depth Exploration
Amanda Bertsch, Maor Ivgi, Emily Xiao +4
cs.CLarXiv:2405.00200v22024
Bayesian deep learning integration of geophysical and drilling data for 3D prediction of copper mineralization and drill targeting: a case study from the Kogodai prospect, Rudny Altai
Margarita Veshchezerova, Egor Barashov, Evgenii Gusev +4
physics.geo-phcs.LGarXiv:2609.09246v12026
SLAQ: Quality-Driven Scheduling for Distributed Machine Learning
Haoyu Zhang, Logan Stafman, Andrew Or +1
cs.DCarXiv:1802.04819v12018
Stacking Models for Nearly Optimal Link Prediction in Complex Networks
Amir Ghasemian, Homa Hosseinmardi, Aram Galstyan +2
stat.MLcs.LGcs.SIarXiv:1909.07578v12019
Integrating Stance Detection and Fact Checking in a Unified Corpus
Ramy Baly, Mitra Mohtarami, James Glass +3
cs.CLarXiv:1804.08012v12018
Planar Prior Assisted PatchMatch Multi-View Stereo
Qingshan Xu, Wenbing Tao
cs.CVarXiv:1912.11744v12019
Trevisan's extractor in the presence of quantum side information
Anindya De, Christopher Portmann, Thomas Vidick +1
quant-phcs.CCcs.CRarXiv:0912.5514v32009
A Constant-Factor Approximation for Wireless Capacity Maximization with Power Control in the SINR Model
Thomas Kesselheim
cs.NIcs.DSarXiv:1007.1611v22010
Learning to Fly: Stable Vision-Guided UAV Servoing with Compact Target-Centric Cues and Reinforcement Learning
Saurbh Singh Jamwal, Nived Chebrolu
cs.ROcs.LGarXiv:2609.09234v12026
Track2Act: Predicting Point Tracks from Internet Videos enables Generalizable Robot Manipulation
Homanga Bharadhwaj, Roozbeh Mottaghi, Abhinav Gupta +1
cs.ROcs.CVarXiv:2405.01527v22024
Stop Regressing: Training Value Functions via Classification for Scalable Deep RL
Jesse Farebrother, Jordi Orbay, Quan Vuong +9
cs.LGcs.AIstat.MLarXiv:2403.03950v12024
Smart expansion and fast calibration for jump diffusion
Eric Benhamou, Emmanuel Gobet, Mohammed Miri
q-fin.PRmath.PRarXiv:0712.3485v22007
A Closer Look at the Explainability of Contrastive Language-Image Pre-training
Yi Li, Hualiang Wang, Yiqun Duan +2
cs.CVarXiv:2304.05653v22023
Rethink Training of BERT Rerankers in Multi-Stage Retrieval Pipeline
Luyu Gao, Zhuyun Dai, Jamie Callan
cs.IRarXiv:2101.08751v12021
Risk Bounds for the Majority Vote: From a PAC-Bayesian Analysis to a Learning Algorithm
Pascal Germain, Alexandre Lacasse, François Laviolette +2
stat.MLcs.LGarXiv:1503.08329v22015
Counterexamples to the maximal p-norm multiplicativity conjecture for all p > 1
Patrick Hayden, Andreas Winter
quant-phcs.ITmath-pharXiv:0807.4753v12008
Query Expansion Based on Crowd Knowledge for Code Search
Liming Nie, He Jiang, Zhilei Ren +2
cs.SEarXiv:1703.01443v12017
Deep Variational Canonical Correlation Analysis
Weiran Wang, Xinchen Yan, Honglak Lee +1
cs.LGarXiv:1610.03454v32016
Total Denoising: Unsupervised Learning of 3D Point Cloud Cleaning
Pedro Hermosilla, Tobias Ritschel, Timo Ropinski
cs.CVcs.GRarXiv:1904.07615v22019
Personalized Dialogue Generation with Diversified Traits
Yinhe Zheng, Guanyi Chen, Minlie Huang +2
cs.CLarXiv:1901.09672v22019
Analyzing and Mitigating the Impact of Permanent Faults on a Systolic Array Based Neural Network Accelerator
Jeff Zhang, Tianyu Gu, Kanad Basu +1
cs.LGcs.ARcs.CVarXiv:1802.04657v22018
VRSBench: A Versatile Vision-Language Benchmark Dataset for Remote Sensing Image Understanding
Xiang Li, Jian Ding, Mohamed Elhoseiny
cs.CVarXiv:2406.12384v22024
Adoption and Effects of Software Engineering Best Practices in Machine Learning
Alex Serban, Koen van der Blom, Holger Hoos +1
cs.SEarXiv:2007.14130v22020
Multi-Period Trading via Convex Optimization
Stephen Boyd, Enzo Busseti, Steven Diamond +4
q-fin.PMmath.OCarXiv:1705.00109v12017
FinalMLP: An Enhanced Two-Stream MLP Model for CTR Prediction
Kelong Mao, Jieming Zhu, Liangcai Su +3
cs.IRarXiv:2304.00902v42023
Scalable Constrained Bayesian Optimization
David Eriksson, Matthias Poloczek
cs.LGcs.AIstat.MLarXiv:2002.08526v32020

Every paper with a summary

Face Recognition Using Deep Multi-Pose Representations

Multiple Source Adaptation and the Renyi Divergence

Data Mining : A prediction of performer or underperformer using classification

PreDiff: Precipitation Nowcasting with Latent Diffusion Models

Closing the gap between software engineering education and industrial needs

Steering Diffusion Priors with Sparse Observations for High-Resolution Temperature Downscaling

AirSync: Enabling Distributed Multiuser MIMO with Full Spatial Multiplexing

Neural Adaptive Sequential Monte Carlo

Rethinking floating point for deep learning

Person Following by Autonomous Robots: A Categorical Overview

Cost-Aware Post-Hoc Deferral Under Calibration and Shift: An Environmental AI Case Study

Progressive-Hint Prompting Improves Reasoning in Large Language Models

Transfer learning for solvation free energies: from quantum chemistry to experiments

Hierarchical Federated Learning with Quantization: Convergence Analysis and System Design

A positive resolution of the gap-entropy conjecture

Cologne: A Declarative Distributed Constraint Optimization Platform

A Subsampled Davis-Kahan Bound for Large-Scale Eigenspace Estimation

CubiCasa5K: A Dataset and an Improved Multi-Task Model for Floorplan Image Analysis

GOAT: GO to Any Thing

Building and Evaluation of a Real Room Impulse Response Dataset

Control Barrier Functions for Stochastic Systems

TEACHTEXT: CrossModal Generalized Distillation for Text-Video Retrieval

Efficient Dataset Distillation Using Random Feature Approximation

"Transforming" LHCb: self-supervised maps of heavy-flavour decays

A multilevel thresholding algorithm using Electromagnetism Optimization

Tensor Network Moral Graph Recovery of Discrete Probability Distributions

Robust and fine-grained prosody control of end-to-end speech synthesis

Novel Visual Category Discovery with Dual Ranking Statistics and Mutual Knowledge Distillation

CAST: Canonical Approximate Schur Tree for Approximate Cholesky on Graphs

MSeg3D: Multi-modal 3D Semantic Segmentation for Autonomous Driving

Beyond Physical Connections: Tree Models in Human Pose Estimation

Quantile Regression Under Memory Constraint

Multi-Angle Point Cloud-VAE: Unsupervised Feature Learning for 3D Point Clouds from Multiple Angles by Joint Self-Reconstruction and Half-to-Half Prediction

VGCN-BERT: Augmenting BERT with Graph Embedding for Text Classification

In-Context Learning with Long-Context Models: An In-Depth Exploration

Bayesian deep learning integration of geophysical and drilling data for 3D prediction of copper mineralization and drill targeting: a case study from the Kogodai prospect, Rudny Altai

SLAQ: Quality-Driven Scheduling for Distributed Machine Learning

Stacking Models for Nearly Optimal Link Prediction in Complex Networks

Integrating Stance Detection and Fact Checking in a Unified Corpus

Planar Prior Assisted PatchMatch Multi-View Stereo

Trevisan's extractor in the presence of quantum side information

A Constant-Factor Approximation for Wireless Capacity Maximization with Power Control in the SINR Model

Learning to Fly: Stable Vision-Guided UAV Servoing with Compact Target-Centric Cues and Reinforcement Learning

Track2Act: Predicting Point Tracks from Internet Videos enables Generalizable Robot Manipulation

Stop Regressing: Training Value Functions via Classification for Scalable Deep RL

Smart expansion and fast calibration for jump diffusion

A Closer Look at the Explainability of Contrastive Language-Image Pre-training

Rethink Training of BERT Rerankers in Multi-Stage Retrieval Pipeline

Risk Bounds for the Majority Vote: From a PAC-Bayesian Analysis to a Learning Algorithm

Counterexamples to the maximal p-norm multiplicativity conjecture for all p > 1

Query Expansion Based on Crowd Knowledge for Code Search

Deep Variational Canonical Correlation Analysis

Total Denoising: Unsupervised Learning of 3D Point Cloud Cleaning

Personalized Dialogue Generation with Diversified Traits

Analyzing and Mitigating the Impact of Permanent Faults on a Systolic Array Based Neural Network Accelerator

VRSBench: A Versatile Vision-Language Benchmark Dataset for Remote Sensing Image Understanding

Adoption and Effects of Software Engineering Best Practices in Machine Learning

Multi-Period Trading via Convex Optimization

FinalMLP: An Enhanced Two-Stream MLP Model for CTR Prediction

Scalable Constrained Bayesian Optimization