Improving Shape Deformation in Unsupervised Image-to-Image Translation. - Aaron Gokaslan; Vivek Ramanujan; Daniel Ritchie; Kwang In Kim; James Tompkin 001 (ECCV (12), 2018)

What's Hidden in a Randomly Weighted Neural Network? - Vivek Ramanujan; Mitchell Wortsman; Aniruddha Kembhavi; Ali Farhadi; Mohammad Rastegari (CVPR, 2020)

Soft Threshold Weight Reparameterization for Learnable Sparsity. - Aditya Kusupati; Vivek Ramanujan; Raghav Somani; Mitchell Wortsman; Prateek Jain 002; Sham M. Kakade; Ali Farhadi (ICML, 2020)

Supermasks in Superposition. - Mitchell Wortsman; Vivek Ramanujan; Rosanne Liu; Aniruddha Kembhavi; Mohammad Rastegari; Jason Yosinski; Ali Farhadi (NeurIPS, 2020)

Parameter Norm Growth During Training of Transformers. - William Merrill; Vivek Ramanujan; Yoav Goldberg; Roy Schwartz 001; Noah A. Smith (CoRR, 2020)

Effects of Parameter Norm Growth During Transformer Training: Inductive Bias from Gradient Descent. - William Merrill; Vivek Ramanujan; Yoav Goldberg; Roy Schwartz 001; Noah A. Smith (EMNLP (1), 2021)

LLC: Accurate, Multi-purpose Learnt Low-dimensional Binary Codes. - Aditya Kusupati; Matthew Wallingford; Vivek Ramanujan; Raghav Somani; Jae Sung Park; Krishna Pillutla; Prateek Jain 002; Sham M. Kakade; Ali Farhadi (NeurIPS, 2021)

Forward Compatible Training for Representation Learning. - Vivek Ramanujan; Pavan Kumar Anasosalu Vasu; Ali Farhadi; Oncel Tuzel; Hadi Pouransari (CoRR, 2021)

Forward Compatible Training for Large-Scale Embedding Retrieval Systems. - Vivek Ramanujan; Pavan Kumar Anasosalu Vasu; Ali Farhadi; Oncel Tuzel; Hadi Pouransari (CVPR, 2022)

Matryoshka Representation Learning. - Aditya Kusupati; Gantavya Bhatt; Aniket Rege; Matthew Wallingford; Aditya Sinha; Vivek Ramanujan; William Howard-Snyder; Kaifeng Chen; Sham M. Kakade; Prateek Jain 002; Ali Farhadi (NeurIPS, 2022)

Matryoshka Representations for Adaptive Deployment. - Aditya Kusupati; Gantavya Bhatt; Aniket Rege; Matthew Wallingford; Aditya Sinha; Vivek Ramanujan; William Howard-Snyder; Kaifeng Chen; Sham M. Kakade; Prateek Jain 002; Ali Farhadi (CoRR, 2022)

Neural Radiance Field Codebooks. - Matthew Wallingford; Aditya Kusupati; Alex Fang; Vivek Ramanujan; Aniruddha Kembhavi; Roozbeh Mottaghi; Ali Farhadi (ICLR, 2023)

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)

On the Connection between Pre-training Data Diversity and Fine-tuning Robustness. - Vivek Ramanujan; Thao Nguyen; Sewoong Oh; Ali Farhadi; Ludwig Schmidt (NeurIPS, 2023)

Neural Priming for Sample-Efficient Adaptation. - Matthew Wallingford; Vivek Ramanujan; Alex Fang; Aditya Kusupati; Roozbeh Mottaghi; Aniruddha Kembhavi; Ludwig Schmidt; Ali Farhadi (NeurIPS, 2023)

The Unmet Promise of Synthetic Training Images: Using Retrieved Real Images Performs Better. - Scott Geng; Cheng-Yu Hsieh; Vivek Ramanujan; Matthew Wallingford; Chun-Liang Li; Pang Wei Koh; Ranjay Krishna (NeurIPS, 2024)

From an Image to a Scene: Learning to Imagine the World from a Million 360° Videos. - Matthew Wallingford; Anand Bhattad; Aditya Kusupati; Vivek Ramanujan; Matt Deitke; Aniruddha Kembhavi; Roozbeh Mottaghi; Wei-Chiu Ma; Ali Farhadi (NeurIPS, 2024)

From an Image to a Scene: Learning to Imagine the World from a Million 360 Videos. - Matthew Wallingford; Anand Bhattad; Aditya Kusupati; Vivek Ramanujan; Matt Deitke; Sham M. Kakade; Aniruddha Kembhavi; Roozbeh Mottaghi; Wei-Chiu Ma; Ali Farhadi (CoRR, 2024)

When Worse is Better: Navigating the compression-generation tradeoff in visual tokenization. - Vivek Ramanujan; Kushal Tirumala; Armen Aghajanyan; Luke Zettlemoyer; Ali Farhadi (CoRR, 2024)

OpenThoughts: Data Recipes for Reasoning Models. - Etash Kumar Guha; Ryan Marten; Sedrick Keh; Negin Raoof; Georgios Smyrnis; Hritik Bansal; Marianna Nezhurina; Jean Mercat; Trung Vu 002; Zayne Sprague; Ashima Suvarna; Benjamin Feuer; et al. (CoRR, 2025)

Contrastive Flow Matching. - George Stoica; Vivek Ramanujan; Xiang Fan; Ali Farhadi; Ranjay Krishna; Judy Hoffman (CoRR, 2025)