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ORCIDYasumasa Onoe
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2020 – today
- 2024
[c15]Roopal Garg, Andrea Burns, Burcu Karagol Ayan, Yonatan Bitton, Ceslee Montgomery, Yasumasa Onoe, Andrew Bunner, Ranjay Krishna, Jason Baldridge, Radu Soricut:
ImageInWords: Unlocking Hyper-Detailed Image Descriptions. EMNLP 2024: 93-127- [i20]Olivia Wiles, Chuhan Zhang, Isabela Albuquerque, Ivana Kajic, Su Wang, Emanuele Bugliarello, Yasumasa Onoe, Chris Knutsen, Cyrus Rashtchian, Jordi Pont-Tuset, Aida Nematzadeh:
Revisiting Text-to-Image Evaluation with Gecko: On Metrics, Prompts, and Human Ratings. CoRR abs/2404.16820 (2024) - [i19]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:
DOCCI: Descriptions of Connected and Contrasting Images. CoRR abs/2404.19753 (2024) - [i18]Roopal Garg, Andrea Burns, Burcu Karagol Ayan, Yonatan Bitton, Ceslee Montgomery, Yasumasa Onoe, Andrew Bunner, Ranjay Krishna, Jason Baldridge, Radu Soricut:
ImageInWords: Unlocking Hyper-Detailed Image Descriptions. CoRR abs/2405.02793 (2024) - [i17]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:
Greedy Growing Enables High-Resolution Pixel-Based Diffusion Models. CoRR abs/2405.16759 (2024) - [i16]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:
Imagen 3. CoRR abs/2408.07009 (2024) - 2023
- [c14]Tomoki Sugimoto, Yasumasa Onoe, Hitomi Yanaka:
Jamp: Controlled Japanese Temporal Inference Dataset for Evaluating Generalization Capacity of Language Models. ACL (student) 2023: 57-68 - [c13]Yasumasa Onoe, Michael J. Q. Zhang, Shankar Padmanabhan, Greg Durrett, Eunsol Choi:
Can LMs Learn New Entities from Descriptions? Challenges in Propagating Injected Knowledge. ACL (1) 2023: 5469-5485 - [c12]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:
Imagen Editor and EditBench: Advancing and Evaluating Text-Guided Image Inpainting. CVPR 2023: 18359-18369 - [c11]Shankar Padmanabhan, Yasumasa Onoe, Michael J. Q. Zhang, Greg Durrett, Eunsol Choi:
Propagating Knowledge Updates to LMs Through Distillation. NeurIPS 2023 - [i15]Yasumasa Onoe, Michael J. Q. Zhang, Shankar Padmanabhan, Greg Durrett, Eunsol Choi:
Can LMs Learn New Entities from Descriptions? Challenges in Propagating Injected Knowledge. CoRR abs/2305.01651 (2023) - [i14]Shankar Padmanabhan, Yasumasa Onoe, Michael J. Q. Zhang, Greg Durrett, Eunsol Choi:
Propagating Knowledge Updates to LMs Through Distillation. CoRR abs/2306.09306 (2023) - [i13]Tomoki Sugimoto, Yasumasa Onoe, Hitomi Yanaka:
Jamp: Controlled Japanese Temporal Inference Dataset for Evaluating Generalization Capacity of Language Models. CoRR abs/2306.10727 (2023) - 2022
- [c10]Diego García-Olano, Yasumasa Onoe, Joydeep Ghosh, Byron C. Wallace:
Intermediate Entity-based Sparse Interpretable Representation Learning. BlackboxNLP@EMNLP 2022: 210-224 - [c9]Yasumasa Onoe, Michael J. Q. Zhang, Eunsol Choi, Greg Durrett:
Entity Cloze By Date: What LMs Know About Unseen Entities. NAACL-HLT (Findings) 2022: 693-702 - [c8]Diego García-Olano, Yasumasa Onoe, Joydeep Ghosh:
Improving and Diagnosing Knowledge-Based Visual Question Answering via Entity Enhanced Knowledge Injection. WWW (Companion Volume) 2022: 705-715 - [i12]Yasumasa Onoe, Michael J. Q. Zhang, Eunsol Choi, Greg Durrett:
Entity Cloze By Date: What LMs Know About Unseen Entities. CoRR abs/2205.02832 (2022) - [i11]Diego García-Olano, Yasumasa Onoe, Joydeep Ghosh, Byron C. Wallace:
Intermediate Entity-based Sparse Interpretable Representation Learning. CoRR abs/2212.01641 (2022) - [i10]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:
Imagen Editor and EditBench: Advancing and Evaluating Text-Guided Image Inpainting. CoRR abs/2212.06909 (2022) - 2021
- [c7]Yasumasa Onoe, Michael Boratko, Andrew McCallum, Greg Durrett:
Modeling Fine-Grained Entity Types with Box Embeddings. ACL/IJCNLP (1) 2021: 2051-2064 - [c6]Diego García-Olano, Yasumasa Onoe, Ioana Baldini, Joydeep Ghosh, Byron C. Wallace, Kush R. Varshney:
Biomedical Interpretable Entity Representations. ACL/IJCNLP (Findings) 2021: 3547-3561 - [c5]Yasumasa Onoe, Michael J. Q. Zhang, Eunsol Choi, Greg Durrett:
CREAK: A Dataset for Commonsense Reasoning over Entity Knowledge. NeurIPS Datasets and Benchmarks 2021 - [i9]Yasumasa Onoe, Michael Boratko, Greg Durrett:
Modeling Fine-Grained Entity Types with Box Embeddings. CoRR abs/2101.00345 (2021) - [i8]Diego García-Olano, Yasumasa Onoe, Ioana Baldini, Joydeep Ghosh, Byron C. Wallace, Kush R. Varshney:
Biomedical Interpretable Entity Representations. CoRR abs/2106.09502 (2021) - [i7]Yasumasa Onoe, Michael J. Q. Zhang, Eunsol Choi, Greg Durrett:
CREAK: A Dataset for Commonsense Reasoning over Entity Knowledge. CoRR abs/2109.01653 (2021) - [i6]Nila Selvaraj, Yasumasa Onoe, Greg Durrett:
Cross-Lingual Fine-Grained Entity Typing. CoRR abs/2110.07837 (2021) - [i5]Diego García-Olano, Yasumasa Onoe, Joydeep Ghosh:
Improving and Diagnosing Knowledge-Based Visual Question Answering via Entity Enhanced Knowledge Injection. CoRR abs/2112.06888 (2021) - 2020
- [c4]Yasumasa Onoe, Greg Durrett:
Fine-Grained Entity Typing for Domain Independent Entity Linking. AAAI 2020: 8576-8583 - [c3]Yasumasa Onoe, Greg Durrett:
Interpretable Entity Representations through Large-Scale Typing. EMNLP (Findings) 2020: 612-624 - [i4]Yasumasa Onoe, Greg Durrett:
Interpretable Entity Representations through Large-Scale Typing. CoRR abs/2005.00147 (2020)
2010 – 2019
- 2019
- [c2]Yasumasa Onoe, Greg Durrett:
Learning to Denoise Distantly-Labeled Data for Entity Typing. NAACL-HLT (1) 2019: 2407-2417 - [i3]Yasumasa Onoe, Greg Durrett:
Learning to Denoise Distantly-Labeled Data for Entity Typing. CoRR abs/1905.01566 (2019) - [i2]Yasumasa Onoe, Greg Durrett:
Fine-Grained Entity Typing for Domain Independent Entity Linking. CoRR abs/1909.05780 (2019) - 2016
- [c1]Yasumasa Miyamoto, Kyunghyun Cho:
Gated Word-Character Recurrent Language Model. EMNLP 2016: 1992-1997 - [i1]Yasumasa Miyamoto, Kyunghyun Cho:
Gated Word-Character Recurrent Language Model. CoRR abs/1606.01700 (2016)
Coauthor Index
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