WebCode2M: A Real-World Dataset for Code Generation from Webpage Designs

Sketch2code: Generating a website from a paper mockup

Original

Alex Robinson. 2019 · 1905

Earlier work this paper cites.

The nsfw_image_detection

2010 · 2010

Earlier work this paper cites.

The List-of-Dirty-Naughty-Obscene-and-Otherwise-Bad-Words

2012 · 2012

Earlier work this paper cites.

Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation. In Proceedings of 2014 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2014, Columbus, OH, USA, June 23-28, 2014 . IEEE Computer Society, 580–587

Ross B. Girshick, Jeff Donahue, Trevor Darrell, and Jitendra Malik. 2014 · 2014

Earlier work this paper cites.

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks. In Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, December 7-12, 2015, Montreal, Quebec, Canada . 91–99

Shaoqing Ren, Kaiming He, Ross B. Girshick, and Jian Sun. 2015 · 2015

Earlier work this paper cites.

ImageNet Large Scale Visual Recognition Challenge

Olga Russakovsky, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, Andrej Karpathy, Aditya Khosla, Michael S. Bernstein, Alexander C. Berg, and Li Fei-Fei. 2015 · 2015

Earlier work this paper cites.

Show and tell: A neural image caption generator. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2015, Boston, MA, USA, June 7-12, 2015, pages = 3156–3164, publisher = IEEE Computer Society, year = 2015,

Oriol Vinyals, Alexander Toshev, Samy Bengio, and Dumitru Erhan. [n. d.] · 2015

Earlier work this paper cites.

The sensitive-stop-words

2016 · 2016

Earlier work this paper cites.

Deep Residual Learning for Image Recognition. In Proceedings of 2016 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016, Las Vegas, NV, USA, June 27-30, 2016 . IEEE Computer Society, 770–778

Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. 2016 · 2016

Earlier work this paper cites.

Fully Convolutional Networks for Semantic Segmentation

Evan Shelhamer, Jonathan Long, and Trevor Darrell. 2017 · 2017

Earlier work this paper cites.

pix2code: Generating Code from a Graphical User Interface Screenshot. In Proceedings of the ACM SIGCHI Symposium on Engineering Interactive Computing Systems, EICS 2018, Paris, France, June 19-22, 2018 . ACM, 3:1–3:6

Tony Beltramelli. 2018 · 2018

Earlier work this paper cites.

Improving automatic source code summarization via deep reinforcement learning. In Proceedings of the 33rd ACM/IEEE international conference on automated software engineering . 397–407

Yao Wan, Zhou Zhao, Min Yang, Guandong Xu, Haochao Ying, Jian Wu, and Philip S Yu. 2018 · 2018

Earlier work this paper cites.

The GPT2

2019 · 2019

Earlier work this paper cites.

Multi-modal attention network learning for semantic source code retrieval. In 2019 34th IEEE/ACM International Conference on Automated Software Engineering (ASE) . IEEE, 13–25

Yao Wan, Jingdong Shu, Yulei Sui, Guandong Xu, Zhou Zhao, Jian Wu, and Philip Yu. 2019 · 2019

Earlier work this paper cites.

A Simple Framework for Contrastive Learning of Visual Representations. In Proceedings of the 37th International Conference on Machine Learning, ICML 2020, 13-18 July 2020, Virtual Event (Proceedings of Machine Learning Research, Vol. 119) . PMLR, 1597–1607

Ting Chen, Simon Kornblith, Mohammad Norouzi, and Geoffrey E. Hinton. 2020 · 2020

Earlier work this paper cites.

Denoising Diffusion Probabilistic Models. In Advances in Neural Information Processing Systems, December 6-12, 2020, virtual

Jonathan Ho, Ajay Jain, and Pieter Abbeel. 2020 · 2020

Earlier work this paper cites.

Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J. Liu. 2020 · 2020

Earlier work this paper cites.

CodeBLEU: a Method for Automatic Evaluation of Code Synthesis

Original

Shuo Ren, Daya Guo, Shuai Lu, Long Zhou, Shujie Liu, Duyu Tang, Neel Sundaresan, Ming Zhou, Ambrosio Blanco, , and Shuai Ma. 2020 · 2020

Earlier work this paper cites.

Reinforcement-learning-guided source code summarization using hierarchical attention

Wenhua Wang, Yuqun Zhang, Yulei Sui, Yao Wan, Zhou Zhao, Jian Wu, S Yu Philip, and Guandong Xu. 2020 · 2020

Cited alongside, same era.

An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale. In Proceedings of 9th International Conference on Learning Representations, ICLR 2021, Virtual Event, Austria, May 3-7, 2021 . OpenReview.net

Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, Jakob Uszkoreit, and Neil Houlsby. 2021 · 2021

Cited alongside, same era.

Learning Transferable Visual Models From Natural Language Supervision. In Proceedings of the 38th International Conference on Machine Learning, ICML 2021, 18-24 July 2021, Virtual Event (Proceedings of Machine Learning Research, Vol. 139) . PMLR, 8748–8763

Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, Gretchen Krueger, and Ilya Sutskever. 2021 · 2021

Cited alongside, same era.

Screen Parsing: Towards Reverse Engineering of UI Models from Screenshots. In Proceedings of the 34th Annual ACM Symposium on User Interface Software and Technology, Virtual Event, USA, October 10-14, 2021 . ACM, 470–483

CodeT5+: Open Code Large Language Models for Code Understanding and Generation. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, EMNLP 2023, Singapore, December 6-10, 2023 . Association for Computational Linguistics, 1069–1088

Yue Wang, Hung Le, Akhilesh Gotmare, Nghi D. Q. Bui, Junnan Li, and Steven C. H. Hoi. 2023 · 2023

Later among the works it cites.

The Claude 3 Model Family: Opus, Sonnet, Haiku

2024 · 2024

Closest in time.

The Common Crawl

2024 · 2024

Closest in time.

The screen-to-shot

2024 · 2024

Closest in time.

Iterative Refinement of Project-Level Code Context for Precise Code Generation with Compiler Feedback. In Findings of the Association for Computational Linguistics, ACL 2024, Bangkok, Thailand and virtual meeting, August 11-16, 2024 . Association for Computational Linguistics, 2336–2353

Zhangqian Bi, Yao Wan, Zheng Wang, Hongyu Zhang, Batu Guan, Fangxin Lu, Zili Zhang, Yulei Sui, Hai Jin, and Xuanhua Shi. 2024 · 2024