Yasumasa Onoe

According to our database, Yasumasa Onoe authored at least 21 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Imagen 3.

Jason Baldridge, Jakob Bauer, Mukul Bhutani, Nicole Brichtova, Andrew Bunner, Kelvin Chan, Yichang Chen, Sander Dieleman, Yuqing Du, Zach Eaton-Rosen, Hongliang Fei, Nando de Freitas, Yilin Gao, Evgeny Gladchenko, Sergio Gómez Colmenarejo, Mandy Guo, Alex Haig, Will Hawkins, Hexiang Hu, Huilian Huang, Tobenna Peter Igwe, Christos Kaplanis, Siavash Khodadadeh, Yelin Kim, Ksenia Konyushkova, Karol Langner, Eric Lau, Shixin Luo, Sona Mokrá, Henna Nandwani, Yasumasa Onoe, Aäron van den Oord, Zarana Parekh, Jordi Pont-Tuset, Hang Qi, Rui Qian, Deepak Ramachandran, Poorva Rane, Abdullah Rashwan, Ali Razavi, Robert Riachi, Hansa Srinivasan, Srivatsan Srinivasan, Robin Strudel, Benigno Uria, Oliver Wang, Su Wang, Austin Waters, Chris Wolff, Auriel Wright, Zhisheng Xiao, Hao Xiong, Keyang Xu, Marc van Zee, Junlin Zhang, Katie Zhang, Wenlei Zhou, Konrad Zolna, Ola Aboubakar, Canfer Akbulut, Oscar Akerlund, Isabela Albuquerque, Nina Anderson, Marco Andreetto, Lora Aroyo, Ben Bariach, David Barker, Sherry Ben, Dana Berman, Courtney Biles, Irina Blok, Pankil Botadra, Jenny Brennan, Karla Brown, John Buckley, Rudy Bunel, Elie Bursztein, Christina Butterfield, Ben Caine, Viral Carpenter, Norman Casagrande, Ming-Wei Chang, Solomon Chang, Shamik Chaudhuri, Tony Chen, John Choi, Dmitry Churbanau, Nathan Clement, Matan Cohen, Forrester Cole, Mikhail Dektiarev, Vincent Du, Praneet Dutta, Tom Eccles, Ndidi Elue, Ashley Feden, Shlomi Fruchter, Frankie Garcia, Roopal Garg

CoRR, 2024

Greedy Growing Enables High-Resolution Pixel-Based Diffusion Models.

Cristina Nader Vasconcelos, Abdullah Rashwan, Austin Waters, Trevor Walker, Keyang Xu, Jimmy Yan, Rui Qian, Shixin Luo, Zarana Parekh, Andrew Bunner, Hongliang Fei, Roopal Garg, Mandy Guo, Ivana Kajic, Yeqing Li, Henna Nandwani, Jordi Pont-Tuset, Yasumasa Onoe, Sarah Rosston, Su Wang, Wenlei Zhou, Kevin Swersky, David J. Fleet, Jason M. Baldridge, Oliver Wang

CoRR, 2024

Revisiting Text-to-Image Evaluation with Gecko: On Metrics, Prompts, and Human Ratings.

Olivia Wiles, Chuhan Zhang, Isabela Albuquerque, Ivana Kajic, Su Wang, Emanuele Bugliarello, Yasumasa Onoe, Chris Knutsen, Cyrus Rashtchian, Jordi Pont-Tuset, Aida Nematzadeh

CoRR, 2024

ImageInWords: Unlocking Hyper-Detailed Image Descriptions.

Roopal Garg, Andrea Burns, Burcu Karagol Ayan, Yonatan Bitton, Ceslee Montgomery, Yasumasa Onoe, Andrew Bunner, Ranjay Krishna, Jason Baldridge, Radu Soricut

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

DOCCI: Descriptions of Connected and Contrasting Images.

Yasumasa Onoe, Sunayana Rane, Zachary Berger, Yonatan Bitton, Jaemin Cho, Roopal Garg, Alexander Ku, Zarana Parekh, Jordi Pont-Tuset, Garrett Tanzer, Su Wang, Jason Baldridge

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Propagating Knowledge Updates to LMs Through Distillation.

Shankar Padmanabhan, Yasumasa Onoe, Michael J. Q. Zhang, Greg Durrett, Eunsol Choi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Imagen Editor and EditBench: Advancing and Evaluating Text-Guided Image Inpainting.

Su Wang, Chitwan Saharia, Ceslee Montgomery, Jordi Pont-Tuset, Shai Noy, Stefano Pellegrini, Yasumasa Onoe, Sarah Laszlo, David J. Fleet, Radu Soricut, Jason Baldridge, Mohammad Norouzi, Peter Anderson, William Chan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Jamp: Controlled Japanese Temporal Inference Dataset for Evaluating Generalization Capacity of Language Models.

Tomoki Sugimoto, Yasumasa Onoe, Hitomi Yanaka

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, 2023

Can LMs Learn New Entities from Descriptions? Challenges in Propagating Injected Knowledge.

Yasumasa Onoe, Michael J. Q. Zhang, Shankar Padmanabhan, Greg Durrett, Eunsol Choi

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Improving and Diagnosing Knowledge-Based Visual Question Answering via Entity Enhanced Knowledge Injection.

Diego García-Olano, Yasumasa Onoe, Joydeep Ghosh

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

Entity Cloze By Date: What LMs Know About Unseen Entities.

Yasumasa Onoe, Michael J. Q. Zhang, Eunsol Choi, Greg Durrett

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Intermediate Entity-based Sparse Interpretable Representation Learning.

Diego García-Olano, Yasumasa Onoe, Joydeep Ghosh, Byron C. Wallace

Proceedings of the Fifth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2022

2021

Cross-Lingual Fine-Grained Entity Typing.

Nila Selvaraj, Yasumasa Onoe, Greg Durrett

CoRR, 2021

Modeling Fine-Grained Entity Types with Box Embeddings.

Yasumasa Onoe, Michael Boratko, Greg Durrett

CoRR, 2021

CREAK: A Dataset for Commonsense Reasoning over Entity Knowledge.

Yasumasa Onoe, Michael J. Q. Zhang, Eunsol Choi, Greg Durrett

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Modeling Fine-Grained Entity Types with Box Embeddings.

Yasumasa Onoe, Michael Boratko, Andrew McCallum, Greg Durrett

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Biomedical Interpretable Entity Representations.

Diego García-Olano, Yasumasa Onoe, Ioana Baldini, Joydeep Ghosh, Byron C. Wallace, Kush R. Varshney

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

Interpretable Entity Representations through Large-Scale Typing.

Yasumasa Onoe, Greg Durrett

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Fine-Grained Entity Typing for Domain Independent Entity Linking.

Yasumasa Onoe, Greg Durrett

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Learning to Denoise Distantly-Labeled Data for Entity Typing.

Yasumasa Onoe, Greg Durrett

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

2016

Gated Word-Character Recurrent Language Model.

Yasumasa Miyamoto, Kyunghyun Cho

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016