FastGRNN: A Fast, Accurate, Stable and Tiny Kilobyte Sized Gated Recurrent Neural Network. - Aditya Kusupati; Manish Singh; Kush Bhatia; Ashish Kumar 007; Prateek Jain 002; Manik Varma (NeurIPS, 2018)

Lightweight, Deep RNNs for Radar Classification. - Dhrubojyoti Roy; Sangeeta Srivastava; Pranshu Jain; Aditya Kusupati; Manik Varma; Anish Arora (BuildSys, 2019)

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)

RNNPool: Efficient Non-linear Pooling for RAM Constrained Inference. - Oindrila Saha; Aditya Kusupati; Harsha Vardhan Simhadri; Manik Varma; Prateek Jain 002 (NeurIPS, 2020)

Extreme Regression for Dynamic Search Advertising. - Yashoteja Prabhu; Aditya Kusupati; Nilesh Gupta; Manik Varma (WSDM, 2020)

In the Wild: From ML Models to Pragmatic ML Systems. - Matthew Wallingford; Aditya Kusupati; Keivan Alizadeh-Vahid; Aaron Walsman; Aniruddha Kembhavi; Ali Farhadi (CoRR, 2020)

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)

Disrupting Model Training with Adversarial Shortcuts. - Ivan Evtimov; Ian Covert; Aditya Kusupati; Tadayoshi Kohno (CoRR, 2021)

One Size Does Not Fit All: Multi-scale, Cascaded RNNs for Radar Classification. - Dhrubojyoti Roy; Sangeeta Srivastava; Aditya Kusupati; Pranshu Jain; Manik Varma; Anish Arora (ACM Trans. Sens. Networks, 2021)

ProtoSound: A Personalized and Scalable Sound Recognition System for Deaf and Hard-of-Hearing Users. - Dhruv Jain; Khoa Huynh Anh Nguyen; Steven M. Goodman; Rachel Grossman-Kahn; Hung Ngo; Aditya Kusupati; Ruofei Du; Alex Olwal; Leah Findlater; Jon E. Froehlich (CHI, 2022)

MERLOT RESERVE: Neural Script Knowledge through Vision and Language and Sound. - Rowan Zellers; Jiasen Lu; Ximing Lu; Youngjae Yu; Yanpeng Zhao; Mohammadreza Salehi; Aditya Kusupati; Jack Hessel; Ali Farhadi; Yejin Choi 001 (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)

SHARCS: Efficient Transformers Through Routing with Dynamic Width Sub-networks. - Mohammadreza Salehi; Sachin Mehta; Aditya Kusupati; Ali Farhadi; Hannaneh Hajishirzi (EMNLP (Findings), 2023)

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

Objaverse-XL: A Universe of 10M+ 3D Objects. - Matt Deitke; Ruoshi Liu; Matthew Wallingford; Huong Ngo; Oscar Michel; Aditya Kusupati; Alan Fan; Christian Laforte; Vikram Voleti; Samir Yitzhak Gadre; Eli VanderBilt; Aniruddha Kembhavi; et al. (NeurIPS, 2023)

MADLAD-400: A Multilingual And Document-Level Large Audited Dataset. - Sneha Kudugunta; Isaac Caswell; Biao Zhang 006; Xavier Garcia; Derrick Xin; Aditya Kusupati; Romi Stella; Ankur Bapna; Orhan Firat (NeurIPS, 2023)

AdANNS: A Framework for Adaptive Semantic Search. - Aniket Rege; Aditya Kusupati; Sharan Ranjit S; Alan Fan; Qingqing Cao; Sham M. Kakade; Prateek Jain 002; Ali Farhadi (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)

MADLAD-400: A Multilingual And Document-Level Large Audited Dataset. - Sneha Kudugunta; Isaac Caswell; Biao Zhang 006; Xavier Garcia; Christopher A. Choquette-Choo; Katherine Lee; Derrick Xin; Aditya Kusupati; Romi Stella; Ankur Bapna; Orhan Firat (CoRR, 2023)

Are "Hierarchical" Visual Representations Hierarchical? - Ethan Shen; Ali Farhadi; Aditya Kusupati (CoRR, 2023)

FLUID: A Unified Evaluation Framework for Flexible Sequential Data. - Matthew Wallingford; Aditya Kusupati; Keivan Alizadeh-Vahid; Aaron Walsman; Aniruddha Kembhavi; Ali Farhadi (Trans. Mach. Learn. Res., 2023)

MatFormer: Nested Transformer for Elastic Inference. - Devvrit; Sneha Kudugunta; Aditya Kusupati; Tim Dettmers; Kaifeng Chen; Inderjit S. Dhillon; Yulia Tsvetkov; Hanna Hajishirzi; Sham M. Kakade; Ali Farhadi; Prateek Jain 002 (NeurIPS, 2024)

Mixture of Nested Experts: Adaptive Processing of Visual Tokens. - Gagan Jain; Nidhi Hegde 003; Aditya Kusupati; Arsha Nagrani; Shyamal Buch; Prateek Jain 002; Anurag Arnab; Sujoy Paul (NeurIPS, 2024)

ActionAtlas: A VideoQA Benchmark for Domain-specialized Action Recognition. - Mohammadreza Salehi; Jae Sung Park; Aditya Kusupati; Ranjay Krishna; Yejin Choi 001; Hanna Hajishirzi; Ali Farhadi (NeurIPS, 2024)

Superposed Decoding: Multiple Generations from a Single Autoregressive Inference Pass. - Ethan Shen; Alan Fan; Sarah M. Pratt; Jae Sung Park; Matthew Wallingford; Sham M. Kakade; Ari Holtzman; Ranjay Krishna; Ali Farhadi; Aditya Kusupati (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)

Gecko: Versatile Text Embeddings Distilled from Large Language Models. - Jinhyuk Lee; Zhuyun Dai; Xiaoqi Ren; Blair Chen; Daniel Cer; Jeremy R. Cole; Kai Hui 001; Michael Boratko; Rajvi Kapadia; Wen Ding; Yi Luan; Sai Meher Karthik Duddu; et al. (CoRR, 2024)

ActionAtlas: A VideoQA Benchmark for Domain-specialized Action Recognition. - Mohammadreza Salehi; Jae Sung Park; Tanush Yadav; Aditya Kusupati; Ranjay Krishna; Yejin Choi 001; Hannaneh Hajishirzi; Ali Farhadi (CoRR, 2024)

MatMamba: A Matryoshka State Space Model. - Abhinav Shukla; Sai Vemprala; Aditya Kusupati; Ashish Kapoor (CoRR, 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)

EHI: End-to-end Learning of Hierarchical Index for Efficient Dense Retrieval. - Ramnath Kumar; Anshul Mittal; Nilesh Gupta; Aditya Kusupati; Inderjit S. Dhillon; Prateek Jain 002 (Trans. Mach. Learn. Res., 2024)

Towards Adaptive Intelligence - Aditya Kusupati (2024)

Matryoshka Quantization. - Pranav Ajit Nair; Puranjay Datta; Jeff Dean; Prateek Jain 002; Aditya Kusupati (CoRR, 2025)

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems. - Aniket Rege; Zinnia Nie; Mahesh Ramesh; Unmesh Raskar; Zhuoran Yu; Aditya Kusupati; Yong Jae Lee; Ramya Korlakai Vinayak (CoRR, 2025)