Aditya Kusupati

55 papers A* 18A 1Journal 32Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Compressing Many-Shots in In-Context Learning. CoRR Devvrit Khatri, Pranamya Kulkarni, Nilesh Gupta, Yerram Varun, Liqian Peng, Jay Yagnik, Praneeth Netrapalli, Cho-Jui Hsieh, Alec Go, Inderjit S. Dhillon, Aditya Kusupati, Prateek Jain
2025	J	`jnl`	CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems. CoRR Aniket Rege, Zinnia Nie, Mahesh Ramesh, Unmesh Raskar, Zhuoran Yu, Aditya Kusupati, Yong Jae Lee, Ramya Korlakai Vinayak
2025	A*	`conf`	Matryoshka Quantization. ICML Pranav Ajit Nair, Puranjay Datta, Jeff Dean, Prateek Jain, Aditya Kusupati
2025	J	`jnl`	Matryoshka Quantization. CoRR Pranav Ajit Nair, Puranjay Datta, Jeff Dean, Prateek Jain, Aditya Kusupati
2024	A*	`conf`	ActionAtlas: A VideoQA Benchmark for Domain-specialized Action Recognition. NeurIPS Mohammadreza Salehi, Jae Sung Park, Aditya Kusupati, Ranjay Krishna, Yejin Choi, Hanna Hajishirzi, Ali Farhadi
2024	J	`jnl`	ActionAtlas: A VideoQA Benchmark for Domain-specialized Action Recognition. CoRR Mohammadreza Salehi, Jae Sung Park, Tanush Yadav, Aditya Kusupati, Ranjay Krishna, Yejin Choi, Hannaneh Hajishirzi, Ali Farhadi
2024	J	`jnl`	EHI: End-to-end Learning of Hierarchical Index for Efficient Dense Retrieval. Trans. Mach. Learn. Res. Ramnath Kumar, Anshul Mittal, Nilesh Gupta, Aditya Kusupati, Inderjit S. Dhillon, Prateek Jain
2024	J	`jnl`	From an Image to a Scene: Learning to Imagine the World from a Million 360 Videos. CoRR Matthew Wallingford, Anand Bhattad, Aditya Kusupati, Vivek Ramanujan, Matt Deitke, Sham M. Kakade, Aniruddha Kembhavi, Roozbeh Mottaghi, Wei-Chiu Ma, Ali Farhadi
2024	A*	`conf`	From an Image to a Scene: Learning to Imagine the World from a Million 360° Videos. NeurIPS Matthew Wallingford, Anand Bhattad, Aditya Kusupati, Vivek Ramanujan, Matt Deitke, Aniruddha Kembhavi, Roozbeh Mottaghi, Wei-Chiu Ma, Ali Farhadi
2024	J	`jnl`	Gecko: Versatile Text Embeddings Distilled from Large Language Models. CoRR Jinhyuk Lee, Zhuyun Dai, Xiaoqi Ren, Blair Chen, Daniel Cer, Jeremy R. Cole, Kai Hui, Michael Boratko, Rajvi Kapadia, Wen Ding, Yi Luan, Sai Meher Karthik Duddu, Gustavo Hernández Ábrego, Weiqiang Shi, Nithi Gupta, Aditya Kusupati, Prateek Jain, Siddhartha Reddy Jonnalagadda, Ming-Wei Chang, Iftekhar Naim
2024	A*	`conf`	MatFormer: Nested Transformer for Elastic Inference. NeurIPS Devvrit, Sneha Kudugunta, Aditya Kusupati, Tim Dettmers, Kaifeng Chen, Inderjit S. Dhillon, Yulia Tsvetkov, Hanna Hajishirzi, Sham M. Kakade, Ali Farhadi, Prateek Jain
2024	J	`jnl`	MatMamba: A Matryoshka State Space Model. CoRR Abhinav Shukla, Sai Vemprala, Aditya Kusupati, Ashish Kapoor
2024	A*	`conf`	Mixture of Nested Experts: Adaptive Processing of Visual Tokens. NeurIPS Gagan Jain, Nidhi Hegde, Aditya Kusupati, Arsha Nagrani, Shyamal Buch, Prateek Jain, Anurag Arnab, Sujoy Paul
2024	J	`jnl`	Mixture of Nested Experts: Adaptive Processing of Visual Tokens. CoRR Gagan Jain, Nidhi Hegde, Aditya Kusupati, Arsha Nagrani, Shyamal Buch, Prateek Jain, Anurag Arnab, Sujoy Paul
2024	A*	`conf`	Superposed Decoding: Multiple Generations from a Single Autoregressive Inference Pass. NeurIPS Ethan Shen, Alan Fan, Sarah M. Pratt, Jae Sung Park, Matthew Wallingford, Sham M. Kakade, Ari Holtzman, Ranjay Krishna, Ali Farhadi, Aditya Kusupati
2024	J	`jnl`	Superposed Decoding: Multiple Generations from a Single Autoregressive Inference Pass. CoRR Ethan Shen, Alan Fan, Sarah M. Pratt, Jae Sung Park, Matthew Wallingford, Sham M. Kakade, Ari Holtzman, Ranjay Krishna, Ali Farhadi, Aditya Kusupati
2024	—	`—`	Towards Adaptive Intelligence Aditya Kusupati
2023	A*	`conf`	AdANNS: A Framework for Adaptive Semantic Search. NeurIPS Aniket Rege, Aditya Kusupati, Sharan Ranjit S, Alan Fan, Qingqing Cao, Sham M. Kakade, Prateek Jain, Ali Farhadi
2023	J	`jnl`	AdANNS: A Framework for Adaptive Semantic Search. CoRR Aniket Rege, Aditya Kusupati, Sharan Ranjit S, Alan Fan, Qingqing Cao, Sham M. Kakade, Prateek Jain, Ali Farhadi
2023	J	`jnl`	Are "Hierarchical" Visual Representations Hierarchical? CoRR Ethan Shen, Ali Farhadi, Aditya Kusupati
2023	J	`jnl`	EHI: End-to-end Learning of Hierarchical Index for Efficient Dense Retrieval. CoRR Ramnath Kumar, Anshul Mittal, Nilesh Gupta, Aditya Kusupati, Inderjit S. Dhillon, Prateek Jain
2023	J	`jnl`	FLUID: A Unified Evaluation Framework for Flexible Sequential Data. Trans. Mach. Learn. Res. Matthew Wallingford, Aditya Kusupati, Keivan Alizadeh-Vahid, Aaron Walsman, Aniruddha Kembhavi, Ali Farhadi
2023	A*	`conf`	MADLAD-400: A Multilingual And Document-Level Large Audited Dataset. NeurIPS Sneha Kudugunta, Isaac Caswell, Biao Zhang, Xavier Garcia, Derrick Xin, Aditya Kusupati, Romi Stella, Ankur Bapna, Orhan Firat
2023	J	`jnl`	MADLAD-400: A Multilingual And Document-Level Large Audited Dataset. CoRR Sneha Kudugunta, Isaac Caswell, Biao Zhang, Xavier Garcia, Christopher A. Choquette-Choo, Katherine Lee, Derrick Xin, Aditya Kusupati, Romi Stella, Ankur Bapna, Orhan Firat
2023	J	`jnl`	MatFormer: Nested Transformer for Elastic Inference. CoRR Devvrit, Sneha Kudugunta, Aditya Kusupati, Tim Dettmers, Kaifeng Chen, Inderjit S. Dhillon, Yulia Tsvetkov, Hannaneh Hajishirzi, Sham M. Kakade, Ali Farhadi, Prateek Jain
2023	A*	`conf`	Neural Priming for Sample-Efficient Adaptation. NeurIPS Matthew Wallingford, Vivek Ramanujan, Alex Fang, Aditya Kusupati, Roozbeh Mottaghi, Aniruddha Kembhavi, Ludwig Schmidt, Ali Farhadi
2023	J	`jnl`	Neural Priming for Sample-Efficient Adaptation. CoRR Matthew Wallingford, Vivek Ramanujan, Alex Fang, Aditya Kusupati, Roozbeh Mottaghi, Aniruddha Kembhavi, Ludwig Schmidt, Ali Farhadi
2023	A*	`conf`	Neural Radiance Field Codebooks. ICLR Matthew Wallingford, Aditya Kusupati, Alex Fang, Vivek Ramanujan, Aniruddha Kembhavi, Roozbeh Mottaghi, Ali Farhadi
2023	J	`jnl`	Neural Radiance Field Codebooks. CoRR Matthew Wallingford, Aditya Kusupati, Alex Fang, Vivek Ramanujan, Aniruddha Kembhavi, Roozbeh Mottaghi, Ali Farhadi
2023	A*	`conf`	Objaverse-XL: A Universe of 10M+ 3D Objects. NeurIPS 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, Carl Vondrick, Georgia Gkioxari, Kiana Ehsani, Ludwig Schmidt, Ali Farhadi
2023	J	`jnl`	Objaverse-XL: A Universe of 10M+ 3D Objects. CoRR 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, Carl Vondrick, Georgia Gkioxari, Kiana Ehsani, Ludwig Schmidt, Ali Farhadi
2023	—	`conf`	SHARCS: Efficient Transformers Through Routing with Dynamic Width Sub-networks. EMNLP (Findings) Mohammadreza Salehi, Sachin Mehta, Aditya Kusupati, Ali Farhadi, Hannaneh Hajishirzi
2023	J	`jnl`	SHARCS: Efficient Transformers through Routing with Dynamic Width Sub-networks. CoRR Mohammadreza Salehi, Sachin Mehta, Aditya Kusupati, Ali Farhadi, Hannaneh Hajishirzi
2022	A*	`conf`	MERLOT RESERVE: Neural Script Knowledge through Vision and Language and Sound. CVPR Rowan Zellers, Jiasen Lu, Ximing Lu, Youngjae Yu, Yanpeng Zhao, Mohammadreza Salehi, Aditya Kusupati, Jack Hessel, Ali Farhadi, Yejin Choi
2022	J	`jnl`	MERLOT Reserve: Neural Script Knowledge through Vision and Language and Sound. CoRR Rowan Zellers, Jiasen Lu, Ximing Lu, Youngjae Yu, Yanpeng Zhao, Mohammadreza Salehi, Aditya Kusupati, Jack Hessel, Ali Farhadi, Yejin Choi
2022	A*	`conf`	Matryoshka Representation Learning. NeurIPS Aditya Kusupati, Gantavya Bhatt, Aniket Rege, Matthew Wallingford, Aditya Sinha, Vivek Ramanujan, William Howard-Snyder, Kaifeng Chen, Sham M. Kakade, Prateek Jain, Ali Farhadi
2022	J	`jnl`	Matryoshka Representations for Adaptive Deployment. CoRR Aditya Kusupati, Gantavya Bhatt, Aniket Rege, Matthew Wallingford, Aditya Sinha, Vivek Ramanujan, William Howard-Snyder, Kaifeng Chen, Sham M. Kakade, Prateek Jain, Ali Farhadi
2022	A*	`conf`	ProtoSound: A Personalized and Scalable Sound Recognition System for Deaf and Hard-of-Hearing Users. CHI 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
2022	J	`jnl`	ProtoSound: A Personalized and Scalable Sound Recognition System for Deaf and Hard-of-Hearing Users. CoRR Dhruv Jain, Khoa Huynh Anh Nguyen, Steven Goodman, Rachel Grossman-Kahn, Hung Ngo, Aditya Kusupati, Ruofei Du, Alex Olwal, Leah Findlater, Jon E. Froehlich
2021	J	`jnl`	Disrupting Model Training with Adversarial Shortcuts. CoRR Ivan Evtimov, Ian Covert, Aditya Kusupati, Tadayoshi Kohno
2021	A*	`conf`	LLC: Accurate, Multi-purpose Learnt Low-dimensional Binary Codes. NeurIPS Aditya Kusupati, Matthew Wallingford, Vivek Ramanujan, Raghav Somani, Jae Sung Park, Krishna Pillutla, Prateek Jain, Sham M. Kakade, Ali Farhadi
2021	J	`jnl`	LLC: Accurate, Multi-purpose Learnt Low-dimensional Binary Codes. CoRR Aditya Kusupati, Matthew Wallingford, Vivek Ramanujan, Raghav Somani, Jae Sung Park, Krishna Pillutla, Prateek Jain, Sham M. Kakade, Ali Farhadi
2021	J	`jnl`	One Size Does Not Fit All: Multi-scale, Cascaded RNNs for Radar Classification. ACM Trans. Sens. Networks Dhrubojyoti Roy, Sangeeta Srivastava, Aditya Kusupati, Pranshu Jain, Manik Varma, Anish Arora
2020	A	`conf`	Extreme Regression for Dynamic Search Advertising. WSDM Yashoteja Prabhu, Aditya Kusupati, Nilesh Gupta, Manik Varma
2020	J	`jnl`	Extreme Regression for Dynamic Search Advertising. CoRR Yashoteja Prabhu, Aditya Kusupati, Nilesh Gupta, Manik Varma
2020	J	`jnl`	In the Wild: From ML Models to Pragmatic ML Systems. CoRR Matthew Wallingford, Aditya Kusupati, Keivan Alizadeh-Vahid, Aaron Walsman, Aniruddha Kembhavi, Ali Farhadi
2020	A*	`conf`	RNNPool: Efficient Non-linear Pooling for RAM Constrained Inference. NeurIPS Oindrila Saha, Aditya Kusupati, Harsha Vardhan Simhadri, Manik Varma, Prateek Jain
2020	J	`jnl`	RNNPool: Efficient Non-linear Pooling for RAM Constrained Inference. CoRR Oindrila Saha, Aditya Kusupati, Harsha Vardhan Simhadri, Manik Varma, Prateek Jain
2020	A*	`conf`	Soft Threshold Weight Reparameterization for Learnable Sparsity. ICML Aditya Kusupati, Vivek Ramanujan, Raghav Somani, Mitchell Wortsman, Prateek Jain, Sham M. Kakade, Ali Farhadi
2020	J	`jnl`	Soft Threshold Weight Reparameterization for Learnable Sparsity. CoRR Aditya Kusupati, Vivek Ramanujan, Raghav Somani, Mitchell Wortsman, Prateek Jain, Sham M. Kakade, Ali Farhadi
2019	J	`jnl`	FastGRNN: A Fast, Accurate, Stable and Tiny Kilobyte Sized Gated Recurrent Neural Network. CoRR Aditya Kusupati, Manish Singh, Kush Bhatia, Ashish Kumar, Prateek Jain, Manik Varma
2019	—	`conf`	Lightweight, Deep RNNs for Radar Classification. BuildSys Dhrubojyoti Roy, Sangeeta Srivastava, Pranshu Jain, Aditya Kusupati, Manik Varma, Anish Arora
2019	—	`conf`	One Size Does Not Fit All: Multi-Scale, Cascaded RNNs for Radar Classification. BuildSys Dhrubojyoti Roy, Sangeeta Srivastava, Aditya Kusupati, Pranshu Jain, Manik Varma, Anish Arora
2019	J	`jnl`	One Size Does Not Fit All: Multi-Scale, Cascaded RNNs for Radar Classification. CoRR Dhrubojyoti Roy, Sangeeta Srivastava, Aditya Kusupati, Pranshu Jain, Manik Varma, Anish Arora
2018	A*	`conf`	FastGRNN: A Fast, Accurate, Stable and Tiny Kilobyte Sized Gated Recurrent Neural Network. NeurIPS Aditya Kusupati, Manish Singh, Kush Bhatia, Ashish Kumar, Prateek Jain, Manik Varma