Dawn Chen

According to our database, Dawn Chen authored at least 9 papers between 2013 and 2024.

Collaborative distances:

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

2024

Towards Responsible Development of Generative AI for Education: An Evaluation-Driven Approach.

Irina Jurenka, Markus Kunesch, Kevin R. McKee, Daniel Gillick, Shaojian Zhu, Sara Wiltberger, Shubham Milind Phal, Katherine L. Hermann, Daniel Kasenberg, Avishkar Bhoopchand, Ankit Anand, Miruna Pîslar, Stephanie Chan, Lisa Wang, Jennifer She, Parsa Mahmoudieh, Aliya Rysbek, Wei-Jen Ko, Andrea Huber, Brett Wiltshire, Gal Elidan, Roni Rabin, Jasmin Rubinovitz, Amit Pitaru, Mac McAllister, Julia Wilkowski, David Choi, Roee Engelberg, Lidan Hackmon, Adva Levin, Rachel Griffin, Michael Sears, Filip Bar, Mia Mesar, Mana Jabbour, Arslan Chaudhry, James Cohan, Sridhar Thiagarajan, Nir Levine, Ben Brown, Dilan Görür, Svetlana Grant, Rachel Hashimshoni, Laura Weidinger, Jieru Hu, Dawn Chen, Kuba Dolecki, Canfer Akbulut, Maxwell L. Bileschi, Laura Culp, Wen-Xin Dong, Nahema Marchal, Kelsie Van Deman, Hema Bajaj Misra, Michael Duah, Moran Ambar, Avi Caciularu, Sandra Lefdal, Christopher Summerfield, James An, Pierre-Alexandre Kamienny, Abhinit Mohdi, Theofilos Strinopoulous, Annie Hale, Wayne Anderson, Luis C. Cobo, Niv Efron, Muktha Ananda, Shakir Mohamed, Maureen Heymans, Zoubin Ghahramani, Yossi Matias, Ben Gomes, Lila Ibrahim

CoRR, 2024

2023

An Extensible Multimodal Multi-task Object Dataset with Materials.

Trevor Standley, Ruohan Gao, Dawn Chen, Jiajun Wu, Silvio Savarese

CoRR, 2023

An Extensible Multi-modal Multi-task Object Dataset with Materials.

Trevor Scott Standley, Ruohan Gao, Dawn Chen, Jiajun Wu, Silvio Savarese

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2020

Which Tasks Should Be Learned Together in Multi-task Learning?

Trevor Standley, Amir Zamir, Dawn Chen, Leonidas J. Guibas, Jitendra Malik, Silvio Savarese

Proceedings of the 37th International Conference on Machine Learning, 2020

2017

image2mass: Estimating the Mass of an Object from Its Image.

Trevor Standley, Ozan Sener, Dawn Chen, Silvio Savarese

Proceedings of the 1st Annual Conference on Robot Learning, CoRL 2017, Mountain View, 2017

Evaluating vector-space models of analogy.

Dawn Chen, Joshua C. Peterson, Tom Griffiths

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

2016

Critical Features of Joint Actions that Signal Human Interaction.

Tianmin Shu, Steven M. Thurman, Dawn Chen, Song-Chun Zhu, Hongjing Lu

Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

2015

Learning and Generalizing Cross-Category Relations Using Hierarchical Distributed Representations.

Dawn Chen, Hongjing Lu, Keith J. Holyoak

Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

2013

Generative Inferences Based on a Discriminative Bayesian Model of Relation Learning.

Dawn Chen, Hongjing Lu, Keith J. Holyoak

Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013