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.

Search paper metadata (including unsummarized papers)

39,841 to 39,900 of 61,393

DocBERT: BERT for Document Classification
Ashutosh Adhikari, Achyudh Ram, Raphael Tang +1
cs.CLarXiv:1904.08398v32019
Generation-Augmented Retrieval for Open-domain Question Answering
Yuning Mao, Pengcheng He, Xiaodong Liu +4
cs.CLcs.IRarXiv:2009.08553v42020
Dataset Meta-Learning from Kernel Ridge-Regression
Timothy Nguyen, Zhourong Chen, Jaehoon Lee
cs.LGstat.MLarXiv:2011.00050v32020
TrafficSim: Learning to Simulate Realistic Multi-Agent Behaviors
Simon Suo, Sebastian Regalado, Sergio Casas +1
cs.ROcs.AIcs.CVarXiv:2101.06557v12021
Differentially Private Average Consensus: Obstructions, Trade-Offs, and Optimal Algorithm Design
Erfan Nozari, Pavankumar Tallapragada, Jorge Cortés
math.OCmath.DSarXiv:1512.09039v32015
Cooperative Caching and Transmission Design in Cluster-Centric Small Cell Networks
Zheng Chen, Jemin Lee, Tony Q. S. Quek +1
cs.NIarXiv:1601.00321v12016
Optimal Wireless Resource Allocation with Random Edge Graph Neural Networks
Mark Eisen, Alejandro Ribeiro
eess.SParXiv:1909.01865v42019
Triplane Meets Gaussian Splatting: Fast and Generalizable Single-View 3D Reconstruction with Transformers
Zi-Xin Zou, Zhipeng Yu, Yuan-Chen Guo +4
cs.CVarXiv:2312.09147v22023
On-Device Training Under 256KB Memory
Ji Lin, Ligeng Zhu, Wei-Ming Chen +3
cs.CVarXiv:2206.15472v42022
Skywork-Reward: Bag of Tricks for Reward Modeling in LLMs
Chris Yuhao Liu, Liang Zeng, Jiacai Liu +6
cs.AIcs.CLarXiv:2410.18451v12024
Group descent algorithms for nonconvex penalized linear and logistic regression models with grouped predictors
Patrick Breheny, Jian Huang
stat.COstat.MLarXiv:1209.2160v22012
Unifying PAC and Regret: Uniform PAC Bounds for Episodic Reinforcement Learning
Christoph Dann, Tor Lattimore, Emma Brunskill
cs.LGcs.AIstat.MLarXiv:1703.07710v32017
Quantized Precoding for Massive MU-MIMO
Sven Jacobsson, Giuseppe Durisi, Mikael Coldrey +2
cs.ITarXiv:1610.07564v32016
MACE: Mass Concept Erasure in Diffusion Models
Shilin Lu, Zilan Wang, Leyang Li +2
cs.CVcs.AIcs.LGarXiv:2403.06135v12024
Deep Learning and Machine Vision for Food Processing: A Survey
Lili Zhu, Petros Spachos, Erica Pensini +1
cs.CVcs.LGarXiv:2103.16106v12021
Thick-Restart Block Lanczos Method for Large-Scale Shell-Model Calculations
Noritaka Shimizu, Takahiro Mizusaki, Yutaka Utsuno +1
nucl-thphysics.comp-pharXiv:1902.02064v12019
Interpretable and Explainable Machine Learning for Materials Science and Chemistry
Felipe Oviedo, Juan Lavista Ferres, Tonio Buonassisi +1
cond-mat.mtrl-scics.LGarXiv:2111.01037v22021
Human-AI Interactions in Public Sector Decision-Making: "Automation Bias" and "Selective Adherence" to Algorithmic Advice
Saar Alon-Barkat, Madalina Busuioc
cs.HCcs.AIarXiv:2103.02381v32021
An Amateur Drone Surveillance System Based on Cognitive Internet of Things
Guoru Ding, Qihui Wu, Linyuan Zhang +3
cs.CYarXiv:1711.10738v12017
A Survey on Security and Privacy Issues in Edge Computing-Assisted Internet of Things
Abdulmalik Alwarafy, Khaled A. Al-Thelaya, Mohamed Abdallah +2
cs.NIcs.CRarXiv:2008.03252v12020
Rotate your Networks: Better Weight Consolidation and Less Catastrophic Forgetting
Xialei Liu, Marc Masana, Luis Herranz +3
cs.CVarXiv:1802.02950v42018
Generative Novel View Synthesis with 3D-Aware Diffusion Models
Eric R. Chan, Koki Nagano, Matthew A. Chan +7
cs.CVcs.AIcs.GRarXiv:2304.02602v12023
A Comprehensive Survey on Cross-modal Retrieval
Kaiye Wang, Qiyue Yin, Wei Wang +2
cs.MMcs.CLcs.IRarXiv:1607.06215v12016
AdapterDrop: On the Efficiency of Adapters in Transformers
Andreas Rücklé, Gregor Geigle, Max Glockner +4
cs.LGcs.CLarXiv:2010.11918v22020
Deep Adversarial Training for Multi-Organ Nuclei Segmentation in Histopathology Images
Faisal Mahmood, Daniel Borders, Richard Chen +4
cs.CVarXiv:1810.00236v22018
Resource Allocation for Downlink NOMA Systems: Key Techniques and Open Issues
S. M. Riazul Islam, Ming Zeng, Octavia A. Dobre +1
cs.ITarXiv:1801.00121v12017
Deep Learning Techniques for Music Generation -- A Survey
Jean-Pierre Briot, Gaëtan Hadjeres, François-David Pachet
cs.SDcs.LGarXiv:1709.01620v42017
Quantum Communication With Zero-Capacity Channels
Graeme Smith, Jon Yard
quant-pharXiv:0807.4935v22008
Automated Fact Checking: Task formulations, methods and future directions
James Thorne, Andreas Vlachos
cs.CLarXiv:1806.07687v22018
Mean-field theory of two-layers neural networks: dimension-free bounds and kernel limit
Song Mei, Theodor Misiakiewicz, Andrea Montanari
stat.MLcond-mat.stat-mechcs.LGarXiv:1902.06015v12019
PersonaLLM: Investigating the Ability of Large Language Models to Express Personality Traits
Hang Jiang, Xiajie Zhang, Xubo Cao +3
cs.CLcs.AIcs.HCarXiv:2305.02547v52023
Decoupling of brain function from structure reveals regional behavioral specialization in humans
Maria Giulia Preti, Dimitri Van De Ville
q-bio.NCeess.IVarXiv:1905.07813v22019
A Survey on Deep Learning for Human Mobility
Massimiliano Luca, Gianni Barlacchi, Bruno Lepri +1
cs.LGcs.AIcs.SIarXiv:2012.02825v22020
Perceptual Quality Prediction on Authentically Distorted Images Using a Bag of Features Approach
Deepti Ghadiyaram, Alan C. Bovik
cs.CVarXiv:1609.04757v12016
How Well Do Self-Supervised Models Transfer?
Linus Ericsson, Henry Gouk, Timothy M. Hospedales
cs.CVarXiv:2011.13377v22020
When Machine Unlearning Jeopardizes Privacy
Min Chen, Zhikun Zhang, Tianhao Wang +3
cs.CRcs.LGstat.MLarXiv:2005.02205v22020
Decision making under uncertainty using imprecise probabilities
Matthias C. M. Troffaes
math.PRstat.MEarXiv:1807.03705v12018
Evolutionary Generative Adversarial Networks
Chaoyue Wang, Chang Xu, Xin Yao +1
cs.LGcs.NEstat.MLarXiv:1803.00657v12018
Leveraging Pre-trained Large Language Models to Construct and Utilize World Models for Model-based Task Planning
Lin Guan, Karthik Valmeekam, Sarath Sreedharan +1
cs.AIarXiv:2305.14909v22023
The Dataset Nutrition Label: A Framework To Drive Higher Data Quality Standards
Sarah Holland, Ahmed Hosny, Sarah Newman +2
cs.DBcs.CYarXiv:1805.03677v12018
Multispectral Fusion for Object Detection with Cyclic Fuse-and-Refine Blocks
Heng Zhang, Elisa Fromont, Sébastien Lefevre +1
cs.CVarXiv:2009.12664v12020
Gaussian Opacity Fields: Efficient Adaptive Surface Reconstruction in Unbounded Scenes
Zehao Yu, Torsten Sattler, Andreas Geiger
cs.CVarXiv:2404.10772v22024
StainGAN: Stain Style Transfer for Digital Histological Images
M Tarek Shaban, Christoph Baur, Nassir Navab +1
cs.CVarXiv:1804.01601v12018
Pixel-level Extrinsic Self Calibration of High Resolution LiDAR and Camera in Targetless Environments
Chongjian Yuan, Xiyuan Liu, Xiaoping Hong +1
cs.ROarXiv:2103.01627v22021
Disentangled Representation Learning for Non-Parallel Text Style Transfer
Vineet John, Lili Mou, Hareesh Bahuleyan +1
cs.CLarXiv:1808.04339v22018
Improving Multispectral Pedestrian Detection by Addressing Modality Imbalance Problems
Kailai Zhou, Linsen Chen, Xun Cao
cs.CVarXiv:2008.03043v22020
Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering
Akari Asai, Kazuma Hashimoto, Hannaneh Hajishirzi +2
cs.CLarXiv:1911.10470v22019
BOP Challenge 2020 on 6D Object Localization
Tomas Hodan, Martin Sundermeyer, Bertram Drost +5
cs.CVcs.GRcs.LGarXiv:2009.07378v22020
Conformal Risk Control
Anastasios N. Angelopoulos, Stephen Bates, Adam Fisch +2
stat.MEcs.AIcs.LGarXiv:2208.02814v42022
Wireless Information and Power Transfer in Cooperative Networks with Spatially Random Relays
Z. Ding, I. Krikidis, B. Sharif +1
cs.ITarXiv:1403.6164v12014
Asynchronous, Photometric Feature Tracking using Events and Frames
Daniel Gehrig, Henri Rebecq, Guillermo Gallego +1
cs.CVcs.ROarXiv:1807.09713v12018
Deep Neural Networks for Anatomical Brain Segmentation
Alexandre de Brebisson, Giovanni Montana
cs.CVcs.LGstat.AParXiv:1502.02445v22015
Self-supervised Learning of Motion Capture
Hsiao-Yu Fish Tung, Hsiao-Wei Tung, Ersin Yumer +1
cs.CVarXiv:1712.01337v12017
Intelligent Reflecting Surface-Assisted Multiple Access with User Pairing: NOMA or OMA?
Beixiong Zheng, Qingqing Wu, Rui Zhang
cs.ITcs.ETarXiv:2001.08909v22020
Large Margin Deep Networks for Classification
Gamaleldin F. Elsayed, Dilip Krishnan, Hossein Mobahi +2
stat.MLcs.LGarXiv:1803.05598v22018
Key.Net: Keypoint Detection by Handcrafted and Learned CNN Filters
Axel Barroso-Laguna, Edgar Riba, Daniel Ponsa +1
cs.CVarXiv:1904.00889v32019
Analysing Affective Behavior in the First ABAW 2020 Competition
Dimitrios Kollias, Attila Schulc, Elnar Hajiyev +1
cs.LGstat.MLarXiv:2001.11409v22020
Scaling Laws for Transfer
Danny Hernandez, Jared Kaplan, Tom Henighan +1
cs.LGarXiv:2102.01293v12021
Quantifying Einstein-Podolsky-Rosen steering
Paul Skrzypczyk, Miguel Navascues, Daniel Cavalcanti
quant-pharXiv:1311.4590v32013
OTFS: A New Generation of Modulation Addressing the Challenges of 5G
Ronny Hadani, Anton Monk
cs.ITarXiv:1802.02623v12018

Every paper with a summary

DocBERT: BERT for Document Classification

Generation-Augmented Retrieval for Open-domain Question Answering

Dataset Meta-Learning from Kernel Ridge-Regression

TrafficSim: Learning to Simulate Realistic Multi-Agent Behaviors

Differentially Private Average Consensus: Obstructions, Trade-Offs, and Optimal Algorithm Design

Cooperative Caching and Transmission Design in Cluster-Centric Small Cell Networks

Optimal Wireless Resource Allocation with Random Edge Graph Neural Networks

Triplane Meets Gaussian Splatting: Fast and Generalizable Single-View 3D Reconstruction with Transformers

On-Device Training Under 256KB Memory

Skywork-Reward: Bag of Tricks for Reward Modeling in LLMs

Group descent algorithms for nonconvex penalized linear and logistic regression models with grouped predictors

Unifying PAC and Regret: Uniform PAC Bounds for Episodic Reinforcement Learning

Quantized Precoding for Massive MU-MIMO

MACE: Mass Concept Erasure in Diffusion Models

Deep Learning and Machine Vision for Food Processing: A Survey

Thick-Restart Block Lanczos Method for Large-Scale Shell-Model Calculations

Interpretable and Explainable Machine Learning for Materials Science and Chemistry

Human-AI Interactions in Public Sector Decision-Making: "Automation Bias" and "Selective Adherence" to Algorithmic Advice

An Amateur Drone Surveillance System Based on Cognitive Internet of Things

A Survey on Security and Privacy Issues in Edge Computing-Assisted Internet of Things

Rotate your Networks: Better Weight Consolidation and Less Catastrophic Forgetting

Generative Novel View Synthesis with 3D-Aware Diffusion Models

A Comprehensive Survey on Cross-modal Retrieval

AdapterDrop: On the Efficiency of Adapters in Transformers

Deep Adversarial Training for Multi-Organ Nuclei Segmentation in Histopathology Images

Resource Allocation for Downlink NOMA Systems: Key Techniques and Open Issues

Deep Learning Techniques for Music Generation -- A Survey

Quantum Communication With Zero-Capacity Channels

Automated Fact Checking: Task formulations, methods and future directions

Mean-field theory of two-layers neural networks: dimension-free bounds and kernel limit

PersonaLLM: Investigating the Ability of Large Language Models to Express Personality Traits

Decoupling of brain function from structure reveals regional behavioral specialization in humans

A Survey on Deep Learning for Human Mobility

Perceptual Quality Prediction on Authentically Distorted Images Using a Bag of Features Approach

How Well Do Self-Supervised Models Transfer?

When Machine Unlearning Jeopardizes Privacy

Decision making under uncertainty using imprecise probabilities

Evolutionary Generative Adversarial Networks

Leveraging Pre-trained Large Language Models to Construct and Utilize World Models for Model-based Task Planning

The Dataset Nutrition Label: A Framework To Drive Higher Data Quality Standards

Multispectral Fusion for Object Detection with Cyclic Fuse-and-Refine Blocks

Gaussian Opacity Fields: Efficient Adaptive Surface Reconstruction in Unbounded Scenes

StainGAN: Stain Style Transfer for Digital Histological Images

Pixel-level Extrinsic Self Calibration of High Resolution LiDAR and Camera in Targetless Environments

Disentangled Representation Learning for Non-Parallel Text Style Transfer

Improving Multispectral Pedestrian Detection by Addressing Modality Imbalance Problems

Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering

BOP Challenge 2020 on 6D Object Localization

Conformal Risk Control

Wireless Information and Power Transfer in Cooperative Networks with Spatially Random Relays

Asynchronous, Photometric Feature Tracking using Events and Frames

Deep Neural Networks for Anatomical Brain Segmentation

Self-supervised Learning of Motion Capture

Intelligent Reflecting Surface-Assisted Multiple Access with User Pairing: NOMA or OMA?

Large Margin Deep Networks for Classification

Key.Net: Keypoint Detection by Handcrafted and Learned CNN Filters

Analysing Affective Behavior in the First ABAW 2020 Competition

Scaling Laws for Transfer

Quantifying Einstein-Podolsky-Rosen steering

OTFS: A New Generation of Modulation Addressing the Challenges of 5G