Contextual Emotion Learning Challenge. - Jainendra Shukla; Puneet Gupta 002; Aniket Bera; Arka Sarkar; Prakhar Goel; Shubhangi Butta; Anup Kumar Gupta; Snehil Sanyal; Debanga Raj Neog; Manas Kamal Bhuyan; Kalyani Marathe; Linda G. Shapiro; et al. (FG, 2021)

Automated quantitative assessment of amorphous calcifications: Towards improved malignancy risk stratification. - Kalyani Marathe; Chrysostomos Marasinou; Beibin Li; Noor Nakhaei; Bo Li; Joann G. Elmore; Linda G. Shapiro; William Hsu (Comput. Biol. Medicine, 2022)

DataComp: In search of the next generation of multimodal datasets. - Samir Yitzhak Gadre; Gabriel Ilharco; Alex Fang; Jonathan Hayase; Georgios Smyrnis; Thao Nguyen; Ryan Marten; Mitchell Wortsman; Dhruba Ghosh; Jieyu Zhang 001; Eyal Orgad; Rahim Entezari; et al. (NeurIPS, 2023)

MIMIC: Masked Image Modeling with Image Correspondences. - Kalyani Marathe; Mahtab Bigverdi; Nishat Khan; Tuhin Kundu; Aniruddha Kembhavi; Linda G. Shapiro; Ranjay Krishna (CoRR, 2023)

OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models. - Anas Awadalla; Irena Gao; Josh Gardner 001; Jack Hessel; Yusuf Hanafy; Wanrong Zhu; Kalyani Marathe; Yonatan Bitton; Samir Yitzhak Gadre; Shiori Sagawa; Jenia Jitsev; Simon Kornblith; et al. (CoRR, 2023)

MIMIC: Masked Image Modeling with Image Correspondences. - Kalyani Marathe; Mahtab Bigverdi; Nishat Khan; Tuhin Kundu; Patrick Howe; Sharan Ranjit S; Anand Bhattad; Aniruddha Kembhavi; Linda G. Shapiro; Ranjay Krishna (CVPR Workshops, 2024)

DataComp-LM: In search of the next generation of training sets for language models. - Jeffrey Li; Alex Fang; Georgios Smyrnis; Maor Ivgi; Matt Jordan; Samir Yitzhak Gadre; Hritik Bansal; Etash Kumar Guha; Sedrick Scott Keh; Kushal Arora; Saurabh Garg; Rui Xin; et al. (NeurIPS, 2024)