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)

94,801 to 94,860 of 101,911

Learning to Generate Images of Outdoor Scenes from Attributes and Semantic Layouts
Levent Karacan, Zeynep Akata, Aykut Erdem +1
cs.CVarXiv:1612.00215v12016
Multi-Level and Multi-Scale Feature Aggregation Using Pre-trained Convolutional Neural Networks for Music Auto-tagging
Jongpil Lee, Juhan Nam
cs.NEcs.LGcs.MMarXiv:1703.01793v22017
Virtual-to-real Deep Reinforcement Learning: Continuous Control of Mobile Robots for Mapless Navigation
Lei Tai, Giuseppe Paolo, Ming Liu
cs.ROcs.AIcs.LGarXiv:1703.00420v42017
One-Shot Video Object Segmentation
Sergi Caelles, Kevis-Kokitsi Maninis, Jordi Pont-Tuset +3
cs.CVarXiv:1611.05198v42016
Low RF-Complexity Technologies to Enable Millimeter-Wave MIMO with Large Antenna Array for 5G Wireless Communications
Xinyu Gao, Linglong Dai, Akbar M. Sayeed
cs.ITarXiv:1607.04559v32016
AGIQA-3K: An Open Database for AI-Generated Image Quality Assessment
Chunyi Li, Zicheng Zhang, Haoning Wu +5
cs.CVcs.AIeess.IVarXiv:2306.04717v22023
Binarized Convolutional Landmark Localizers for Human Pose Estimation and Face Alignment with Limited Resources
Adrian Bulat, Georgios Tzimiropoulos
cs.CVcs.LGstat.MLarXiv:1703.00862v22017
DiagrammerGPT: Generating Open-Domain, Open-Platform Diagrams via LLM Planning
Abhay Zala, Han Lin, Jaemin Cho +1
cs.CVcs.AIcs.CLarXiv:2310.12128v22023
Less-forgetting Learning in Deep Neural Networks
Heechul Jung, Jeongwoo Ju, Minju Jung +1
cs.LGarXiv:1607.00122v12016
High-Resolution Image Inpainting using Multi-Scale Neural Patch Synthesis
Chao Yang, Xin Lu, Zhe Lin +3
cs.CVarXiv:1611.09969v22016
WaterGAN: Unsupervised Generative Network to Enable Real-time Color Correction of Monocular Underwater Images
Jie Li, Katherine A. Skinner, Ryan M. Eustice +1
cs.CVcs.ROarXiv:1702.07392v32017
The Feasibility of Dynamically Granted Permissions: Aligning Mobile Privacy with User Preferences
Primal Wijesekera, Arjun Baokar, Lynn Tsai +4
cs.CRarXiv:1703.02090v12017
Visual Translation Embedding Network for Visual Relation Detection
Hanwang Zhang, Zawlin Kyaw, Shih-Fu Chang +1
cs.CVarXiv:1702.08319v12017
Generative Compression
Shibani Santurkar, David Budden, Nir Shavit
cs.CVarXiv:1703.01467v22017
Deep representation learning for human motion prediction and classification
Judith Bütepage, Michael Black, Danica Kragic +1
cs.CVarXiv:1702.07486v22017
FaSTrack: a Modular Framework for Fast and Guaranteed Safe Motion Planning
Sylvia L. Herbert, Mo Chen, SooJean Han +3
cs.ROarXiv:1703.07373v22017
In-Datacenter Performance Analysis of a Tensor Processing Unit
Norman P. Jouppi, Cliff Young, Nishant Patil +72
cs.ARcs.LGcs.NEarXiv:1704.04760v12017
The LAMBADA dataset: Word prediction requiring a broad discourse context
Denis Paperno, Germán Kruszewski, Angeliki Lazaridou +6
cs.CLcs.AIcs.LGarXiv:1606.06031v12016
STDP-based spiking deep convolutional neural networks for object recognition
Saeed Reza Kheradpisheh, Mohammad Ganjtabesh, Simon J Thorpe +1
cs.CVarXiv:1611.01421v32016
On the (Statistical) Detection of Adversarial Examples
Kathrin Grosse, Praveen Manoharan, Nicolas Papernot +2
cs.CRcs.LGstat.MLarXiv:1702.06280v22017
Deep Outdoor Illumination Estimation
Yannick Hold-Geoffroy, Kalyan Sunkavalli, Sunil Hadap +2
cs.CVarXiv:1611.06403v32016
Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution
Wei-Sheng Lai, Jia-Bin Huang, Narendra Ahuja +1
cs.CVarXiv:1704.03915v22017
Image-to-Image Translation with Conditional Adversarial Networks
Phillip Isola, Jun-Yan Zhu, Tinghui Zhou +1
cs.CVarXiv:1611.07004v32016
Can ChatGPT Reproduce Human-Generated Labels? A Study of Social Computing Tasks
Yiming Zhu, Peixian Zhang, Ehsan-Ul Haq +2
cs.AIcs.CLarXiv:2304.10145v22023
Abnormal Event Detection in Videos using Spatiotemporal Autoencoder
Yong Shean Chong, Yong Haur Tay
cs.CVarXiv:1701.01546v12017
A Primer on 3GPP Narrowband Internet of Things (NB-IoT)
Y. -P. Eric Wang, Xingqin Lin, Ansuman Adhikary +5
cs.NIcs.ITarXiv:1606.04171v12016
EduChat: A Large-Scale Language Model-based Chatbot System for Intelligent Education
Yuhao Dan, Zhikai Lei, Yiyang Gu +13
cs.CLarXiv:2308.02773v12023
End-to-End Learning of Geometry and Context for Deep Stereo Regression
Alex Kendall, Hayk Martirosyan, Saumitro Dasgupta +4
cs.CVcs.NEarXiv:1703.04309v12017
Agreeing to Cross: How Drivers and Pedestrians Communicate
Amir Rasouli, Iuliia Kotseruba, John K. Tsotsos
cs.ROarXiv:1702.03555v12017
In-context Example Selection with Influences
Tai Nguyen, Eric Wong
cs.CLcs.LGarXiv:2302.11042v22023
Multispectral Deep Neural Networks for Pedestrian Detection
Jingjing Liu, Shaoting Zhang, Shu Wang +1
cs.CVarXiv:1611.02644v12016
CityPersons: A Diverse Dataset for Pedestrian Detection
Shanshan Zhang, Rodrigo Benenson, Bernt Schiele
cs.CVarXiv:1702.05693v12017
Can GPT-3 Perform Statutory Reasoning?
Andrew Blair-Stanek, Nils Holzenberger, Benjamin Van Durme
cs.CLcs.AIarXiv:2302.06100v22023
SafetyNet: Detecting and Rejecting Adversarial Examples Robustly
Jiajun Lu, Theerasit Issaranon, David Forsyth
cs.CVcs.LGarXiv:1704.00103v22017
A Differentiable Physics Engine for Deep Learning in Robotics
Jonas Degrave, Michiel Hermans, Joni Dambre +1
cs.NEcs.AIcs.ROarXiv:1611.01652v22016
Are Large-scale Datasets Necessary for Self-Supervised Pre-training?
Alaaeldin El-Nouby, Gautier Izacard, Hugo Touvron +3
cs.CVarXiv:2112.10740v12021
GRAM: Generative Radiance Manifolds for 3D-Aware Image Generation
Yu Deng, Jiaolong Yang, Jianfeng Xiang +1
cs.CVarXiv:2112.08867v32021
Neural Machine Translation in Linear Time
Nal Kalchbrenner, Lasse Espeholt, Karen Simonyan +3
cs.CLcs.LGarXiv:1610.10099v22016
Conditional Image Synthesis With Auxiliary Classifier GANs
Augustus Odena, Christopher Olah, Jonathon Shlens
stat.MLcs.CVarXiv:1610.09585v42016
Deep learning in automated ultrasonic NDE -- developments, axioms and opportunities
Sergio Cantero-Chinchilla, Paul D. Wilcox, Anthony J. Croxford
eess.SParXiv:2112.06650v22021
When Federated Learning Meets Pre-trained Language Models' Parameter-Efficient Tuning Methods
Zhuo Zhang, Yuanhang Yang, Yong Dai +2
cs.LGcs.CLarXiv:2212.10025v22022
Linguistic Input Features Improve Neural Machine Translation
Rico Sennrich, Barry Haddow
cs.CLarXiv:1606.02892v22016
Automatically Discovering, Reporting and Reproducing Android Application Crashes
Kevin Moran, Mario Linares-Vásquez, Carlos Bernal-Cárdenas +2
cs.SEarXiv:1706.01130v12017
Thinking Fast and Slow in Large Language Models
Thilo Hagendorff, Sarah Fabi, Michal Kosinski
cs.CLcs.AIcs.LGarXiv:2212.05206v22022
Ex Machina: Personal Attacks Seen at Scale
Ellery Wulczyn, Nithum Thain, Lucas Dixon
cs.CLarXiv:1610.08914v22016
OpenAI Gym
Greg Brockman, Vicki Cheung, Ludwig Pettersson +4
cs.LGcs.AIarXiv:1606.01540v12016
DeepSurv: Personalized Treatment Recommender System Using A Cox Proportional Hazards Deep Neural Network
Jared Katzman, Uri Shaham, Jonathan Bates +3
stat.MLcs.NEarXiv:1606.00931v32016
AENet: Learning Deep Audio Features for Video Analysis
Naoya Takahashi, Michael Gygli, Luc Van Gool
cs.MMcs.CVcs.SDarXiv:1701.00599v22017
GenRec: Large Language Model for Generative Recommendation
Jianchao Ji, Zelong Li, Shuyuan Xu +4
cs.IRcs.AIcs.CLarXiv:2307.00457v22023
A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues
Iulian Vlad Serban, Alessandro Sordoni, Ryan Lowe +4
cs.CLcs.AIcs.LGarXiv:1605.06069v32016
Rotation equivariant vector field networks
Diego Marcos, Michele Volpi, Nikos Komodakis +1
cs.CVarXiv:1612.09346v32016
Toward Controlled Generation of Text
Zhiting Hu, Zichao Yang, Xiaodan Liang +2
cs.LGcs.AIcs.CLarXiv:1703.00955v42017
Recurrent Neural Network for Text Classification with Multi-Task Learning
Pengfei Liu, Xipeng Qiu, Xuanjing Huang
cs.CLarXiv:1605.05101v12016
Quantum machine learning for image classification
Arsenii Senokosov, Alexandr Sedykh, Asel Sagingalieva +2
quant-phcs.CVcs.LGarXiv:2304.09224v22023
Show and Tell: Lessons learned from the 2015 MSCOCO Image Captioning Challenge
Oriol Vinyals, Alexander Toshev, Samy Bengio +1
cs.CVarXiv:1609.06647v12016
Full-Duplex Wireless for 6G: Progress Brings New Opportunities and Challenges
Besma Smida, Ashutosh Sabharwal, Gabor Fodor +3
cs.ITeess.SParXiv:2304.08789v32023
Algorithms for Semantic Segmentation of Multispectral Remote Sensing Imagery using Deep Learning
Ronald Kemker, Carl Salvaggio, Christopher Kanan
cs.CVcs.AIarXiv:1703.06452v32017
An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks
Ian J. Goodfellow, Mehdi Mirza, Da Xiao +2
stat.MLcs.LGcs.NEarXiv:1312.6211v32013
Deep Fruit Detection in Orchards
Suchet Bargoti, James Underwood
cs.ROcs.AIcs.CVarXiv:1610.03677v22016
From Perception to Decision: A Data-driven Approach to End-to-end Motion Planning for Autonomous Ground Robots
Mark Pfeiffer, Michael Schaeuble, Juan Nieto +2
cs.ROarXiv:1609.07910v32016

Every paper with a summary

Learning to Generate Images of Outdoor Scenes from Attributes and Semantic Layouts

Multi-Level and Multi-Scale Feature Aggregation Using Pre-trained Convolutional Neural Networks for Music Auto-tagging

Virtual-to-real Deep Reinforcement Learning: Continuous Control of Mobile Robots for Mapless Navigation

One-Shot Video Object Segmentation

Low RF-Complexity Technologies to Enable Millimeter-Wave MIMO with Large Antenna Array for 5G Wireless Communications

AGIQA-3K: An Open Database for AI-Generated Image Quality Assessment

Binarized Convolutional Landmark Localizers for Human Pose Estimation and Face Alignment with Limited Resources

DiagrammerGPT: Generating Open-Domain, Open-Platform Diagrams via LLM Planning

Less-forgetting Learning in Deep Neural Networks

High-Resolution Image Inpainting using Multi-Scale Neural Patch Synthesis

WaterGAN: Unsupervised Generative Network to Enable Real-time Color Correction of Monocular Underwater Images

The Feasibility of Dynamically Granted Permissions: Aligning Mobile Privacy with User Preferences

Visual Translation Embedding Network for Visual Relation Detection

Generative Compression

Deep representation learning for human motion prediction and classification

FaSTrack: a Modular Framework for Fast and Guaranteed Safe Motion Planning

In-Datacenter Performance Analysis of a Tensor Processing Unit

The LAMBADA dataset: Word prediction requiring a broad discourse context

STDP-based spiking deep convolutional neural networks for object recognition

On the (Statistical) Detection of Adversarial Examples

Deep Outdoor Illumination Estimation

Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution

Image-to-Image Translation with Conditional Adversarial Networks

Can ChatGPT Reproduce Human-Generated Labels? A Study of Social Computing Tasks

Abnormal Event Detection in Videos using Spatiotemporal Autoencoder

A Primer on 3GPP Narrowband Internet of Things (NB-IoT)

EduChat: A Large-Scale Language Model-based Chatbot System for Intelligent Education

End-to-End Learning of Geometry and Context for Deep Stereo Regression

Agreeing to Cross: How Drivers and Pedestrians Communicate

In-context Example Selection with Influences

Multispectral Deep Neural Networks for Pedestrian Detection

CityPersons: A Diverse Dataset for Pedestrian Detection

Can GPT-3 Perform Statutory Reasoning?

SafetyNet: Detecting and Rejecting Adversarial Examples Robustly

A Differentiable Physics Engine for Deep Learning in Robotics

Are Large-scale Datasets Necessary for Self-Supervised Pre-training?

GRAM: Generative Radiance Manifolds for 3D-Aware Image Generation

Neural Machine Translation in Linear Time

Conditional Image Synthesis With Auxiliary Classifier GANs

Deep learning in automated ultrasonic NDE -- developments, axioms and opportunities

When Federated Learning Meets Pre-trained Language Models' Parameter-Efficient Tuning Methods

Linguistic Input Features Improve Neural Machine Translation

Automatically Discovering, Reporting and Reproducing Android Application Crashes

Thinking Fast and Slow in Large Language Models

Ex Machina: Personal Attacks Seen at Scale

OpenAI Gym

DeepSurv: Personalized Treatment Recommender System Using A Cox Proportional Hazards Deep Neural Network

AENet: Learning Deep Audio Features for Video Analysis

GenRec: Large Language Model for Generative Recommendation

A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues

Rotation equivariant vector field networks

Toward Controlled Generation of Text

Recurrent Neural Network for Text Classification with Multi-Task Learning

Quantum machine learning for image classification

Show and Tell: Lessons learned from the 2015 MSCOCO Image Captioning Challenge

Full-Duplex Wireless for 6G: Progress Brings New Opportunities and Challenges

Algorithms for Semantic Segmentation of Multispectral Remote Sensing Imagery using Deep Learning

An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks

Deep Fruit Detection in Orchards

From Perception to Decision: A Data-driven Approach to End-to-end Motion Planning for Autonomous Ground Robots