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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42,901 to 42,960 of 61,164

Graph Attention Tracking
Dongyan Guo, Yanyan Shao, Ying Cui +3
cs.CVarXiv:2011.11204v12020
Improving zero-shot learning by mitigating the hubness problem
Georgiana Dinu, Angeliki Lazaridou, Marco Baroni
cs.CLcs.LGarXiv:1412.6568v32014
Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images
Rewon Child
cs.LGcs.CVarXiv:2011.10650v22020
Distance Dependent Chinese Restaurant Processes
David M. Blei, Peter I. Frazier
stat.MLstat.MEarXiv:0910.1022v32009
Levenshtein Transformer
Jiatao Gu, Changhan Wang, Jake Zhao
cs.CLcs.LGarXiv:1905.11006v22019
Reinforcement Learning in Different Phases of Quantum Control
Marin Bukov, Alexandre G. R. Day, Dries Sels +3
quant-phcond-mat.othercond-mat.quant-gasarXiv:1705.00565v42017
A Literature Survey of Recent Advances in Chatbots
Guendalina Caldarini, Sardar Jaf, Kenneth McGarry
cs.CLarXiv:2201.06657v12022
Boxicity and Threshold Dimension of Zero Divisor Graphs
Marco Caoduro, Meike Neuwohner
math.COcs.DMmath.ACarXiv:2608.27381v12026
Global optimization of dielectric metasurfaces using a physics-driven neural network
Jiaqi Jiang, Jonathan A. Fan
cs.LGphysics.comp-phphysics.opticsarXiv:1906.04157v22019
Computing Systems for Autonomous Driving: State-of-the-Art and Challenges
Liangkai Liu, Sidi Lu, Ren Zhong +4
cs.DCcs.ROarXiv:2009.14349v32020
VINet: Visual-Inertial Odometry as a Sequence-to-Sequence Learning Problem
Ronald Clark, Sen Wang, Hongkai Wen +2
cs.CVarXiv:1701.08376v22017
Connecting the Dots: Identifying Network Structure via Graph Signal Processing
Gonzalo Mateos, Santiago Segarra, Antonio G. Marques +1
eess.SParXiv:1810.13066v12018
Federated Multi-Task Learning under a Mixture of Distributions
Othmane Marfoq, Giovanni Neglia, Aurélien Bellet +2
cs.LGcs.AImath.OCarXiv:2108.10252v42021
Controlling complex networks: How much energy is needed?
Gang Yan, Jie Ren, Ying-Cheng Lai +2
physics.soc-phcs.SIeess.SYarXiv:1204.2401v22012
Shared Actors Need Not Share Critics: Effects of Value Mismatch in Parallel Reinforcement Learning
Zhenya Liu, Yang Meng, Zhuokai Zhao +2
cs.LGarXiv:2608.26481v12026
Attractor Reconstruction by Machine Learning
Zhixin Lu, Brian R. Hunt, Edward Ott
nlin.CDarXiv:1805.03362v32018
Multiaccuracy: Black-Box Post-Processing for Fairness in Classification
Michael P. Kim, Amirata Ghorbani, James Zou
cs.LGstat.MLarXiv:1805.12317v22018
Online Global Loop Closure Detection for Large-Scale Multi-Session Graph-Based SLAM
Mathieu Labbe, François Michaud
cs.ROarXiv:2407.15305v12024
Perception Prioritized Training of Diffusion Models
Jooyoung Choi, Jungbeom Lee, Chaehun Shin +3
cs.CVcs.LGarXiv:2204.00227v12022
CLIPPER: Replayable Shortlisted Optimization for Repeated Spatial Coverage Planning
Julian Teusch, Jörg Philipp Müller, Monika Sester
cs.ROcs.CGcs.DSarXiv:2608.26819v12026
Enhanced Sampling in Molecular Dynamics Using Metadynamics, Replica-Exchange, and Temperature-Acceleration
Cameron Abrams, Giovanni Bussi
cond-mat.stat-mechphysics.chem-phphysics.comp-pharXiv:1401.0387v12014
Sparse Sinkhorn Attention
Yi Tay, Dara Bahri, Liu Yang +2
cs.LGcs.CLarXiv:2002.11296v12020
Edge-Computing-Enabled Smart Cities: A Comprehensive Survey
Latif U. Khan, Ibrar Yaqoob, Nguyen H. Tran +3
cs.NIarXiv:1909.08747v22019
PredVLA: A Sub-Million-Parameter Predictive-Coding Policy for Robot Manipulation
Hiroki Sawada, Shunichi Kasahara
cs.ROarXiv:2608.26673v12026
Usability testing: a review of some methodological and technical aspects of the method
J. M. Christian Bastien
cs.HCarXiv:1009.5918v12010
SciPy 1.0--Fundamental Algorithms for Scientific Computing in Python
Pauli Virtanen, Ralf Gommers, Travis E. Oliphant +32
cs.MScs.DScs.SEarXiv:1907.10121v12019
Decision making under uncertainty in energy systems: state of the art
Alireza Soroudi, Turaj Amraee
eess.SYarXiv:1911.10905v12019
ToolQA: A Dataset for LLM Question Answering with External Tools
Yuchen Zhuang, Yue Yu, Kuan Wang +2
cs.CLcs.AIarXiv:2306.13304v12023
Neural-Symbolic Computing: An Effective Methodology for Principled Integration of Machine Learning and Reasoning
Artur d'Avila Garcez, Marco Gori, Luis C. Lamb +3
cs.AIarXiv:1905.06088v12019
MuxViz: A Tool for Multilayer Analysis and Visualization of Networks
Manlio De Domenico, Mason A. Porter, Alex Arenas
physics.soc-phcond-mat.dis-nncs.SIarXiv:1405.0843v22014
AI and Memory Wall
Amir Gholami, Zhewei Yao, Sehoon Kim +3
cs.LGcs.ARcs.DCarXiv:2403.14123v12024
PyPSA-Eur: An Open Optimisation Model of the European Transmission System
Jonas Hörsch, Fabian Hofmann, David Schlachtberger +1
physics.soc-pharXiv:1806.01613v32018
Diffusion Self-Guidance for Controllable Image Generation
Dave Epstein, Allan Jabri, Ben Poole +2
cs.CVcs.LGstat.MLarXiv:2306.00986v32023
PolyChord: next-generation nested sampling
W. J. Handley, M. P. Hobson, A. N. Lasenby
astro-ph.IMarXiv:1506.00171v12015
SoK: Decentralized Finance (DeFi)
Sam M. Werner, Daniel Perez, Lewis Gudgeon +3
cs.CRecon.GNarXiv:2101.08778v62021
When Relationships Break: Interpreting Network Traffic Anomalies via Dependency Violations
Federica Uccello, Simin Nadjm-Tehrani
cs.CRarXiv:2608.26831v12026
Disc-aware Ensemble Network for Glaucoma Screening from Fundus Image
Huazhu Fu, Jun Cheng, Yanwu Xu +4
cs.CVarXiv:1805.07549v12018
LMDrive: Closed-Loop End-to-End Driving with Large Language Models
Hao Shao, Yuxuan Hu, Letian Wang +3
cs.CVcs.AIcs.ROarXiv:2312.07488v22023
Template-Based Named Entity Recognition Using BART
Leyang Cui, Yu Wu, Jian Liu +2
cs.CLarXiv:2106.01760v12021
Neural Trojans
Yuntao Liu, Yang Xie, Ankur Srivastava
cs.CRarXiv:1710.00942v12017
Diverse Part Discovery: Occluded Person Re-identification with Part-Aware Transformer
Yulin Li, Jianfeng He, Tianzhu Zhang +3
cs.CVarXiv:2106.04095v12021
A Statistical Perspective on Algorithmic Leveraging
Ping Ma, Michael W. Mahoney, Bin Yu
stat.MEcs.LGstat.MLarXiv:1306.5362v12013
Exploring and Distilling Posterior and Prior Knowledge for Radiology Report Generation
Fenglin Liu, Xian Wu, Shen Ge +2
cs.CVcs.CLarXiv:2106.06963v22021
Nematus: a Toolkit for Neural Machine Translation
Rico Sennrich, Orhan Firat, Kyunghyun Cho +8
cs.CLarXiv:1703.04357v12017
Fast Patch-based Style Transfer of Arbitrary Style
Tian Qi Chen, Mark Schmidt
cs.CVcs.GRcs.LGarXiv:1612.04337v12016
Style Normalization and Restitution for Generalizable Person Re-identification
Xin Jin, Cuiling Lan, Wenjun Zeng +2
cs.CVarXiv:2005.11037v12020
RSVQA: Visual Question Answering for Remote Sensing Data
Sylvain Lobry, Diego Marcos, Jesse Murray +1
cs.CVarXiv:2003.07333v22020
Oracle Inequalities and Optimal Inference under Group Sparsity
Karim Lounici, Massimiliano Pontil, Alexandre B. Tsybakov +1
math.STarXiv:1007.1771v32010
Randomized Ensembled Double Q-Learning: Learning Fast Without a Model
Xinyue Chen, Che Wang, Zijian Zhou +1
cs.LGcs.AIarXiv:2101.05982v22021
Forward and Backward Information Retention for Accurate Binary Neural Networks
Haotong Qin, Ruihao Gong, Xianglong Liu +4
cs.CVarXiv:1909.10788v42019
RTNav: Towards Real-Time Zero-Shot Object Navigation
Easop Lee, Lingyu Zhang, Boyuan Chen
cs.ROcs.AIcs.CVarXiv:2608.26496v12026
Speech Enhancement and Dereverberation with Diffusion-based Generative Models
Julius Richter, Simon Welker, Jean-Marie Lemercier +2
eess.AScs.LGcs.SDarXiv:2208.05830v32022
PCL: Proposal Cluster Learning for Weakly Supervised Object Detection
Peng Tang, Xinggang Wang, Song Bai +4
cs.CVarXiv:1807.03342v22018
Experimental quantum secure direct communication with single photons
Jianyong Hu, Bo Yu, Mingyong Jing +4
quant-pharXiv:1503.00451v22015
DTD-VAE: Disentangled Temporal Dependencies VAE for Credit Risk Prediction
Xiaobo Guo, Lu-an Dong, Yanbo Wang +3
q-fin.RMstat.MLarXiv:2608.26473v12026
A Review of Deep Learning with Special Emphasis on Architectures, Applications and Recent Trends
Saptarshi Sengupta, Sanchita Basak, Pallabi Saikia +5
cs.LGstat.MLarXiv:1905.13294v32019
Data Augmentation using Random Image Cropping and Patching for Deep CNNs
Ryo Takahashi, Takashi Matsubara, Kuniaki Uehara
cs.CVcs.LGarXiv:1811.09030v22018
GPUMD: A package for constructing accurate machine-learned potentials and performing highly efficient atomistic simulations
Zheyong Fan, Yanzhou Wang, Penghua Ying +17
physics.comp-phcond-mat.mtrl-sciarXiv:2205.10046v22022
Joint Radar-Communications Strategies for Autonomous Vehicles
Dingyou Ma, Nir Shlezinger, Tianyao Huang +2
cs.ITarXiv:1909.01729v22019
A Real-World WebAgent with Planning, Long Context Understanding, and Program Synthesis
Izzeddin Gur, Hiroki Furuta, Austin Huang +4
cs.LGcs.AIcs.CLarXiv:2307.12856v42023

Every paper with a summary

Graph Attention Tracking

Improving zero-shot learning by mitigating the hubness problem

Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images

Distance Dependent Chinese Restaurant Processes

Levenshtein Transformer

Reinforcement Learning in Different Phases of Quantum Control

A Literature Survey of Recent Advances in Chatbots

Boxicity and Threshold Dimension of Zero Divisor Graphs

Global optimization of dielectric metasurfaces using a physics-driven neural network

Computing Systems for Autonomous Driving: State-of-the-Art and Challenges

VINet: Visual-Inertial Odometry as a Sequence-to-Sequence Learning Problem

Connecting the Dots: Identifying Network Structure via Graph Signal Processing

Federated Multi-Task Learning under a Mixture of Distributions

Controlling complex networks: How much energy is needed?

Shared Actors Need Not Share Critics: Effects of Value Mismatch in Parallel Reinforcement Learning

Attractor Reconstruction by Machine Learning

Multiaccuracy: Black-Box Post-Processing for Fairness in Classification

Online Global Loop Closure Detection for Large-Scale Multi-Session Graph-Based SLAM

Perception Prioritized Training of Diffusion Models

CLIPPER: Replayable Shortlisted Optimization for Repeated Spatial Coverage Planning

Enhanced Sampling in Molecular Dynamics Using Metadynamics, Replica-Exchange, and Temperature-Acceleration

Sparse Sinkhorn Attention

Edge-Computing-Enabled Smart Cities: A Comprehensive Survey

PredVLA: A Sub-Million-Parameter Predictive-Coding Policy for Robot Manipulation

Usability testing: a review of some methodological and technical aspects of the method

SciPy 1.0--Fundamental Algorithms for Scientific Computing in Python

Decision making under uncertainty in energy systems: state of the art

ToolQA: A Dataset for LLM Question Answering with External Tools

Neural-Symbolic Computing: An Effective Methodology for Principled Integration of Machine Learning and Reasoning

MuxViz: A Tool for Multilayer Analysis and Visualization of Networks

AI and Memory Wall

PyPSA-Eur: An Open Optimisation Model of the European Transmission System

Diffusion Self-Guidance for Controllable Image Generation

PolyChord: next-generation nested sampling

SoK: Decentralized Finance (DeFi)

When Relationships Break: Interpreting Network Traffic Anomalies via Dependency Violations

Disc-aware Ensemble Network for Glaucoma Screening from Fundus Image

LMDrive: Closed-Loop End-to-End Driving with Large Language Models

Template-Based Named Entity Recognition Using BART

Neural Trojans

Diverse Part Discovery: Occluded Person Re-identification with Part-Aware Transformer

A Statistical Perspective on Algorithmic Leveraging

Exploring and Distilling Posterior and Prior Knowledge for Radiology Report Generation

Nematus: a Toolkit for Neural Machine Translation

Fast Patch-based Style Transfer of Arbitrary Style

Style Normalization and Restitution for Generalizable Person Re-identification

RSVQA: Visual Question Answering for Remote Sensing Data

Oracle Inequalities and Optimal Inference under Group Sparsity

Randomized Ensembled Double Q-Learning: Learning Fast Without a Model

Forward and Backward Information Retention for Accurate Binary Neural Networks

RTNav: Towards Real-Time Zero-Shot Object Navigation

Speech Enhancement and Dereverberation with Diffusion-based Generative Models

PCL: Proposal Cluster Learning for Weakly Supervised Object Detection

Experimental quantum secure direct communication with single photons

DTD-VAE: Disentangled Temporal Dependencies VAE for Credit Risk Prediction

A Review of Deep Learning with Special Emphasis on Architectures, Applications and Recent Trends

Data Augmentation using Random Image Cropping and Patching for Deep CNNs

GPUMD: A package for constructing accurate machine-learned potentials and performing highly efficient atomistic simulations

Joint Radar-Communications Strategies for Autonomous Vehicles

A Real-World WebAgent with Planning, Long Context Understanding, and Program Synthesis