Speeding up Reinforcement Learning-based Information Extraction Training using Asynchronous Methods. - Aditya Sharma; Zarana Parekh; Partha P. Talukdar (EMNLP, 2017)

ExCL: Extractive Clip Localization Using Natural Language Descriptions. - Soham Ghosh; Anuva Agarwal; Zarana Parekh; Alexander G. Hauptmann (NAACL-HLT (1), 2019)

Learning a Multitask Curriculum for Neural Machine Translation. - Wei Wang 236; Ye Tian 022; Jiquan Ngiam; Yinfei Yang; Isaac Caswell; Zarana Parekh (CoRR, 2019)

Learning a Multi-Domain Curriculum for Neural Machine Translation. - Wei Wang 236; Ye Tian 022; Jiquan Ngiam; Yinfei Yang; Isaac Caswell; Zarana Parekh (ACL, 2020)

Self-Supervised Learning for Pairwise Data Refinement. - Gustavo Hernández Ábrego; Bowen Liang; Wei Wang 236; Zarana Parekh; Yinfei Yang; Yun-Hsuan Sung (AACL/IJCNLP, 2020)

TextSETTR: Label-Free Text Style Extraction and Tunable Targeted Restyling. - Parker Riley; Noah Constant; Mandy Guo; Girish Kumar; David C. Uthus; Zarana Parekh (CoRR, 2020)

TextSETTR: Few-Shot Text Style Extraction and Tunable Targeted Restyling. - Parker Riley; Noah Constant; Mandy Guo; Girish Kumar; David C. Uthus; Zarana Parekh (ACL/IJCNLP (1), 2021)

Crisscrossed Captions: Extended Intramodal and Intermodal Semantic Similarity Judgments for MS-COCO. - Zarana Parekh; Jason Baldridge; Daniel Cer; Austin Waters; Yinfei Yang (EACL, 2021)

Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision. - Chao Jia; Yinfei Yang; Ye Xia 006; Yi-Ting Chen; Zarana Parekh; Hieu Pham 001; Quoc V. Le; Yun-Hsuan Sung; Zhen Li 028; Tom Duerig (ICML, 2021)

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation. - Jiahui Yu; Yuanzhong Xu; Jing Yu Koh; Thang Luong; Gunjan Baid; Zirui Wang; Vijay Vasudevan; Alexander Ku; Yinfei Yang; Burcu Karagol Ayan; Ben Hutchinson; Wei Han; et al. (Trans. Mach. Learn. Res., 2022)

A New Path: Scaling Vision-and-Language Navigation with Synthetic Instructions and Imitation Learning. - Aishwarya Kamath; Peter Anderson; Su Wang 001; Jing Yu Koh; Alexander Ku; Austin Waters; Yinfei Yang; Jason Baldridge; Zarana Parekh (CVPR, 2023)

DOCCI: Descriptions of Connected and Contrasting Images. - Yasumasa Onoe; Sunayana Rane; Zachary Berger; Yonatan Bitton; Jaemin Cho 001; Roopal Garg; Alexander Ku; Zarana Parekh; Jordi Pont-Tuset; Garrett Tanzer; Su Wang 001; Jason Baldridge (ECCV (60), 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; et al. (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; Yeqing Li; Shixin Luo; Yasumasa Onoe; Zarana Parekh; Ivana Kajic; et al. (Trans. Mach. Learn. Res., 2024)

EraseBench: Understanding The Ripple Effects of Concept Erasure Techniques. - Ibtihel Amara; Ahmed Imtiaz Humayun; Ivana Kajic; Zarana Parekh; Natalie Harris; Sarah Young; Chirag Nagpal; Najoung Kim; Junfeng He; Cristina Nader Vasconcelos; Deepak Ramachandran; Golnoosh Farnadi; et al. (CoRR, 2025)