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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40,141 to 40,200 of 61,271

Deep Learning for Multi-Task Medical Image Segmentation in Multiple Modalities
Pim Moeskops, Jelmer M. Wolterink, Bas H. M. van der Velden +4
cs.CVarXiv:1704.03379v12017
Understanding Diffusion Objectives as the ELBO with Simple Data Augmentation
Diederik P. Kingma, Ruiqi Gao
cs.LGcs.AIstat.MLarXiv:2303.00848v72023
A Survey on Scalable LoRaWAN for Massive IoT: Recent Advances, Potentials, and Challenges
Mohammed Jouhari, Nasir Saeed, Mohamed-Slim Alouini +1
cs.NIeess.SParXiv:2202.11082v32022
Clustering Stability: An Overview
Ulrike von Luxburg
stat.MLarXiv:1007.1075v12010
Scaling Up Vision-Language Pre-training for Image Captioning
Xiaowei Hu, Zhe Gan, Jianfeng Wang +4
cs.CVcs.CLarXiv:2111.12233v22021
Deep Reinforcement Learning for Task Offloading in Mobile Edge Computing Systems
Ming Tang, Vincent W. S. Wong
cs.NIarXiv:2005.02459v12020
Scalable Person Re-identification on Supervised Smoothed Manifold
Song Bai, Xiang Bai, Qi Tian
cs.CVarXiv:1703.08359v12017
Rosetta: Large scale system for text detection and recognition in images
Fedor Borisyuk, Albert Gordo, Viswanath Sivakumar
cs.CVarXiv:1910.05085v12019
COIN: COmpression with Implicit Neural representations
Emilien Dupont, Adam Goliński, Milad Alizadeh +2
eess.IVcs.CVcs.LGarXiv:2103.03123v22021
Design and analysis of experiments in networks: Reducing bias from interference
Dean Eckles, Brian Karrer, Johan Ugander
stat.MEcs.SIphysics.soc-pharXiv:1404.7530v22014
ORACLE: Optimized Radio clAssification through Convolutional neuraL nEtworks
Kunal Sankhe, Mauro Belgiovine, Fan Zhou +3
eess.SPcs.LGarXiv:1812.01124v12018
Reward Machines: Exploiting Reward Function Structure in Reinforcement Learning
Rodrigo Toro Icarte, Toryn Q. Klassen, Richard Valenzano +1
cs.LGcs.AIarXiv:2010.03950v22020
Minimal Controllability Problems
Alex Olshevsky
math.OCeess.SYarXiv:1304.3071v72013
Detecting Code Clones with Graph Neural Networkand Flow-Augmented Abstract Syntax Tree
Wenhan Wang, Ge Li, Bo Ma +2
cs.SEcs.AIarXiv:2002.08653v12020
Pixel-Adaptive Convolutional Neural Networks
Hang Su, Varun Jampani, Deqing Sun +3
cs.CVcs.GRcs.LGarXiv:1904.05373v12019
Feature Importance-aware Transferable Adversarial Attacks
Zhibo Wang, Hengchang Guo, Zhifei Zhang +3
cs.CVarXiv:2107.14185v32021
Evaluating Prediction-Time Batch Normalization for Robustness under Covariate Shift
Zachary Nado, Shreyas Padhy, D. Sculley +3
cs.LGstat.MLarXiv:2006.10963v32020
MMKG: Multi-Modal Knowledge Graphs
Ye Liu, Hui Li, Alberto Garcia-Duran +3
cs.AIcs.CLarXiv:1903.05485v12019
Distribution-Free, Risk-Controlling Prediction Sets
Stephen Bates, Anastasios Angelopoulos, Lihua Lei +2
cs.LGcs.AIcs.CVarXiv:2101.02703v32021
Rerender A Video: Zero-Shot Text-Guided Video-to-Video Translation
Shuai Yang, Yifan Zhou, Ziwei Liu +1
cs.CVarXiv:2306.07954v22023
GeoQA: A Geometric Question Answering Benchmark Towards Multimodal Numerical Reasoning
Jiaqi Chen, Jianheng Tang, Jinghui Qin +4
cs.AIarXiv:2105.14517v32021
Learning Latent Block Structure in Weighted Networks
Christopher Aicher, Abigail Z. Jacobs, Aaron Clauset
stat.MLcs.SIphysics.data-anarXiv:1404.0431v22014
Modelling discontinuities and Kelvin-Helmholtz instabilities in SPH
Daniel J. Price
astro-pharXiv:0709.2772v32007
DistDGL: Distributed Graph Neural Network Training for Billion-Scale Graphs
Da Zheng, Chao Ma, Minjie Wang +6
cs.LGcs.DCarXiv:2010.05337v32020
Emerging Cross-lingual Structure in Pretrained Language Models
Shijie Wu, Alexis Conneau, Haoran Li +2
cs.CLarXiv:1911.01464v32019
Deep learning in bioinformatics: introduction, application, and perspective in big data era
Yu Li, Chao Huang, Lizhong Ding +3
q-bio.QMcs.LGcs.NEarXiv:1903.00342v12019
Using machine learning to parameterize moist convection: potential for modeling of climate, climate change and extreme events
Paul A. O'Gorman, John G. Dwyer
physics.ao-pharXiv:1806.11037v22018
Large Language Model Guided Tree-of-Thought
Jieyi Long
cs.AIcs.CLcs.CVarXiv:2305.08291v12023
How would surround vehicles move? A Unified Framework for Maneuver Classification and Motion Prediction
Nachiket Deo, Akshay Rangesh, Mohan M. Trivedi
cs.CVarXiv:1801.06523v12018
A Fuzzy AHP Approach for Supplier Selection Problem: A Case Study in a Gear Motor Company
Mustafa Batuhan Ayhan
cs.AIarXiv:1311.2886v12013
Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty
Umang Bhatt, Javier Antorán, Yunfeng Zhang +12
cs.CYcs.HCcs.LGarXiv:2011.07586v32020
Deep Reinforcement Learning-based Image Captioning with Embedding Reward
Zhou Ren, Xiaoyu Wang, Ning Zhang +2
cs.CVcs.AIarXiv:1704.03899v12017
Human-AI Collaboration in Data Science: Exploring Data Scientists' Perceptions of Automated AI
Dakuo Wang, Justin D. Weisz, Michael Muller +6
cs.HCcs.AIcs.LGarXiv:1909.02309v12019
Viewport-Adaptive Navigable 360-Degree Video Delivery
Xavier Corbillon, Gwendal Simon, Alisa Devlic +1
cs.MMarXiv:1609.08042v22016
Multi-Oriented Scene Text Detection via Corner Localization and Region Segmentation
Pengyuan Lyu, Cong Yao, Wenhao Wu +2
cs.CVarXiv:1802.08948v22018
CellViT: Vision Transformers for Precise Cell Segmentation and Classification
Fabian Hörst, Moritz Rempe, Lukas Heine +8
eess.IVcs.CVcs.LGarXiv:2306.15350v22023
Diversify and Match: A Domain Adaptive Representation Learning Paradigm for Object Detection
Taekyung Kim, Minki Jeong, Seunghyeon Kim +2
cs.CVarXiv:1905.05396v12019
Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge Distillation
Taehyeon Kim, Jaehoon Oh, NakYil Kim +2
cs.LGcs.CVarXiv:2105.08919v12021
A Link Layer Protocol for Quantum Networks
Axel Dahlberg, Matthew Skrzypczyk, Tim Coopmans +9
quant-pharXiv:1903.09778v12019
How Powerful are Spectral Graph Neural Networks
Xiyuan Wang, Muhan Zhang
cs.LGcs.AIarXiv:2205.11172v22022
Denoising Implicit Feedback for Recommendation
Wenjie Wang, Fuli Feng, Xiangnan He +2
cs.IRarXiv:2006.04153v22020
Efficiently Identifying Task Groupings for Multi-Task Learning
Christopher Fifty, Ehsan Amid, Zhe Zhao +3
cs.LGcs.AIcs.CVarXiv:2109.04617v22021
CTAB-GAN: Effective Table Data Synthesizing
Zilong Zhao, Aditya Kunar, Hiek Van der Scheer +2
cs.LGarXiv:2102.08369v22021
Mastering Atari Games with Limited Data
Weirui Ye, Shaohuai Liu, Thanard Kurutach +2
cs.LGcs.AIcs.CVarXiv:2111.00210v22021
Who Are the Phishers? Phishing Scam Detection on Ethereum via Network Embedding
Jiajing Wu, Qi Yuan, Dan Lin +4
cs.SIarXiv:1911.09259v22019
Attribute-Based Encryption for Circuits from Multilinear Maps
Amit Sahai, Brent Waters
cs.CRarXiv:1210.5287v12012
Semi-Supervised Medical Image Segmentation via Cross Teaching between CNN and Transformer
Xiangde Luo, Minhao Hu, Tao Song +2
eess.IVcs.CVarXiv:2112.04894v22021
Video Captioning with Transferred Semantic Attributes
Yingwei Pan, Ting Yao, Houqiang Li +1
cs.CVarXiv:1611.07675v12016
Super-Resolution with Deep Convolutional Sufficient Statistics
Joan Bruna, Pablo Sprechmann, Yann LeCun
cs.CVarXiv:1511.05666v42015
GANS for Sequences of Discrete Elements with the Gumbel-softmax Distribution
Matt J. Kusner, José Miguel Hernández-Lobato
stat.MLcs.LGarXiv:1611.04051v12016
Automatic Moth Detection from Trap Images for Pest Management
Weiguang Ding, Graham Taylor
cs.CVcs.LGcs.NEarXiv:1602.07383v12016
FVC: A New Framework towards Deep Video Compression in Feature Space
Zhihao Hu, Guo Lu, Dong Xu
eess.IVcs.CVarXiv:2105.09600v22021
Hybrid Code Networks: practical and efficient end-to-end dialog control with supervised and reinforcement learning
Jason D. Williams, Kavosh Asadi, Geoffrey Zweig
cs.AIcs.CLarXiv:1702.03274v22017
cosFormer: Rethinking Softmax in Attention
Zhen Qin, Weixuan Sun, Hui Deng +6
cs.CLarXiv:2202.08791v12022
Truncated Back-propagation for Bilevel Optimization
Amirreza Shaban, Ching-An Cheng, Nathan Hatch +1
cs.LGstat.MLarXiv:1810.10667v22018
A Contrastive Framework for Neural Text Generation
Yixuan Su, Tian Lan, Yan Wang +3
cs.CLarXiv:2202.06417v32022
Flexible statistical inference for mechanistic models of neural dynamics
Jan-Matthis Lueckmann, Pedro J. Goncalves, Giacomo Bassetto +3
stat.MLarXiv:1711.01861v12017
Skin Lesion Classification Using Ensembles of Multi-Resolution EfficientNets with Meta Data
Nils Gessert, Maximilian Nielsen, Mohsin Shaikh +2
cs.CVarXiv:1910.03910v12019
Deep Exemplar-based Colorization
Mingming He, Dongdong Chen, Jing Liao +2
cs.CVarXiv:1807.06587v22018
Adaptive Cross-Modal Few-Shot Learning
Chen Xing, Negar Rostamzadeh, Boris N. Oreshkin +1
cs.LGstat.MLarXiv:1902.07104v32019

Every paper with a summary

Deep Learning for Multi-Task Medical Image Segmentation in Multiple Modalities

Understanding Diffusion Objectives as the ELBO with Simple Data Augmentation

A Survey on Scalable LoRaWAN for Massive IoT: Recent Advances, Potentials, and Challenges

Clustering Stability: An Overview

Scaling Up Vision-Language Pre-training for Image Captioning

Deep Reinforcement Learning for Task Offloading in Mobile Edge Computing Systems

Scalable Person Re-identification on Supervised Smoothed Manifold

Rosetta: Large scale system for text detection and recognition in images

COIN: COmpression with Implicit Neural representations

Design and analysis of experiments in networks: Reducing bias from interference

ORACLE: Optimized Radio clAssification through Convolutional neuraL nEtworks

Reward Machines: Exploiting Reward Function Structure in Reinforcement Learning

Minimal Controllability Problems

Detecting Code Clones with Graph Neural Networkand Flow-Augmented Abstract Syntax Tree

Pixel-Adaptive Convolutional Neural Networks

Feature Importance-aware Transferable Adversarial Attacks

Evaluating Prediction-Time Batch Normalization for Robustness under Covariate Shift

MMKG: Multi-Modal Knowledge Graphs

Distribution-Free, Risk-Controlling Prediction Sets

Rerender A Video: Zero-Shot Text-Guided Video-to-Video Translation

GeoQA: A Geometric Question Answering Benchmark Towards Multimodal Numerical Reasoning

Learning Latent Block Structure in Weighted Networks

Modelling discontinuities and Kelvin-Helmholtz instabilities in SPH

DistDGL: Distributed Graph Neural Network Training for Billion-Scale Graphs

Emerging Cross-lingual Structure in Pretrained Language Models

Deep learning in bioinformatics: introduction, application, and perspective in big data era

Using machine learning to parameterize moist convection: potential for modeling of climate, climate change and extreme events

Large Language Model Guided Tree-of-Thought

How would surround vehicles move? A Unified Framework for Maneuver Classification and Motion Prediction

A Fuzzy AHP Approach for Supplier Selection Problem: A Case Study in a Gear Motor Company

Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty

Deep Reinforcement Learning-based Image Captioning with Embedding Reward

Human-AI Collaboration in Data Science: Exploring Data Scientists' Perceptions of Automated AI

Viewport-Adaptive Navigable 360-Degree Video Delivery

Multi-Oriented Scene Text Detection via Corner Localization and Region Segmentation

CellViT: Vision Transformers for Precise Cell Segmentation and Classification

Diversify and Match: A Domain Adaptive Representation Learning Paradigm for Object Detection

Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge Distillation

A Link Layer Protocol for Quantum Networks

How Powerful are Spectral Graph Neural Networks

Denoising Implicit Feedback for Recommendation

Efficiently Identifying Task Groupings for Multi-Task Learning

CTAB-GAN: Effective Table Data Synthesizing

Mastering Atari Games with Limited Data

Who Are the Phishers? Phishing Scam Detection on Ethereum via Network Embedding

Attribute-Based Encryption for Circuits from Multilinear Maps

Semi-Supervised Medical Image Segmentation via Cross Teaching between CNN and Transformer

Video Captioning with Transferred Semantic Attributes

Super-Resolution with Deep Convolutional Sufficient Statistics

GANS for Sequences of Discrete Elements with the Gumbel-softmax Distribution

Automatic Moth Detection from Trap Images for Pest Management

FVC: A New Framework towards Deep Video Compression in Feature Space

Hybrid Code Networks: practical and efficient end-to-end dialog control with supervised and reinforcement learning

cosFormer: Rethinking Softmax in Attention

Truncated Back-propagation for Bilevel Optimization

A Contrastive Framework for Neural Text Generation

Flexible statistical inference for mechanistic models of neural dynamics

Skin Lesion Classification Using Ensembles of Multi-Resolution EfficientNets with Meta Data

Deep Exemplar-based Colorization

Adaptive Cross-Modal Few-Shot Learning