Aditya Kusupati

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 41

Top Topics

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Visual Representations

Top Venues

BuildSys@SenSys

ACM Trans. Sens. Networks

Publications

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
Gecko: Versatile Text Embeddings Distilled from Large Language Models. CoRR (2024)
Ethan Shen, Alan Fan, Sarah M. Pratt, Jae Sung Park, Matthew Wallingford, Sham M. Kakade, Ari Holtzman, Ranjay Krishna, Ali Farhadi, Aditya Kusupati
Superposed Decoding: Multiple Generations from a Single Autoregressive Inference Pass. CoRR (2024)
Gagan Jain, Nidhi Hegde, Aditya Kusupati, Arsha Nagrani, Shyamal Buch, Prateek Jain, Anurag Arnab, Sujoy Paul
Mixture of Nested Experts: Adaptive Processing of Visual Tokens. CoRR (2024)
Mohammadreza Salehi, Sachin Mehta, Aditya Kusupati, Ali Farhadi, Hannaneh Hajishirzi
SHARCS: Efficient Transformers through Routing with Dynamic Width Sub-networks. CoRR (2023)
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
Objaverse-XL: A Universe of 10M+ 3D Objects. NeurIPS (2023)
Matthew Wallingford, Vivek Ramanujan, Alex Fang, Aditya Kusupati, Roozbeh Mottaghi, Aniruddha Kembhavi, Ludwig Schmidt, Ali Farhadi
Neural Priming for Sample-Efficient Adaptation. NeurIPS (2023)
Matthew Wallingford, Aditya Kusupati, Keivan Alizadeh-Vahid, Aaron Walsman, Aniruddha Kembhavi, Ali Farhadi
FLUID: A Unified Evaluation Framework for Flexible Sequential Data. Trans. Mach. Learn. Res. 2023 (2023)
Aniket Rege, Aditya Kusupati, Sharan Ranjit S, Alan Fan, Qingqing Cao, Sham M. Kakade, Prateek Jain, Ali Farhadi
AdANNS: A Framework for Adaptive Semantic Search. NeurIPS (2023)
Mohammadreza Salehi, Sachin Mehta, Aditya Kusupati, Ali Farhadi, Hannaneh Hajishirzi
SHARCS: Efficient Transformers Through Routing with Dynamic Width Sub-networks. EMNLP (Findings) (2023)
Ramnath Kumar, Anshul Mittal, Nilesh Gupta, Aditya Kusupati, Inderjit S. Dhillon, Prateek Jain
EHI: End-to-end Learning of Hierarchical Index for Efficient Dense Retrieval. CoRR (2023)
Ethan Shen, Ali Farhadi, Aditya Kusupati
Are "Hierarchical" Visual Representations Hierarchical? CoRR (2023)
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
Objaverse-XL: A Universe of 10M+ 3D Objects. CoRR (2023)
Matthew Wallingford, Vivek Ramanujan, Alex Fang, Aditya Kusupati, Roozbeh Mottaghi, Aniruddha Kembhavi, Ludwig Schmidt, Ali Farhadi
Neural Priming for Sample-Efficient Adaptation. CoRR (2023)
Matthew Wallingford, Aditya Kusupati, Alex Fang, Vivek Ramanujan, Aniruddha Kembhavi, Roozbeh Mottaghi, Ali Farhadi
Neural Radiance Field Codebooks. CoRR (2023)
Sneha Kudugunta, Isaac Caswell, Biao Zhang, Xavier Garcia, Christopher A. Choquette-Choo, Katherine Lee, Derrick Xin, Aditya Kusupati, Romi Stella, Ankur Bapna, Orhan Firat
MADLAD-400: A Multilingual And Document-Level Large Audited Dataset. CoRR (2023)
Sneha Kudugunta, Isaac Caswell, Biao Zhang, Xavier Garcia, Derrick Xin, Aditya Kusupati, Romi Stella, Ankur Bapna, Orhan Firat
MADLAD-400: A Multilingual And Document-Level Large Audited Dataset. NeurIPS (2023)
Aniket Rege, Aditya Kusupati, Sharan Ranjit S, Alan Fan, Qingqing Cao, Sham M. Kakade, Prateek Jain, Ali Farhadi
AdANNS: A Framework for Adaptive Semantic Search. CoRR (2023)
Matthew Wallingford, Aditya Kusupati, Alex Fang, Vivek Ramanujan, Aniruddha Kembhavi, Roozbeh Mottaghi, Ali Farhadi
Neural Radiance Field Codebooks. ICLR (2023)
Devvrit, Sneha Kudugunta, Aditya Kusupati, Tim Dettmers, Kaifeng Chen, Inderjit S. Dhillon, Yulia Tsvetkov, Hannaneh Hajishirzi, Sham M. Kakade, Ali Farhadi, Prateek Jain
MatFormer: Nested Transformer for Elastic Inference. CoRR (2023)
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
ProtoSound: A Personalized and Scalable Sound Recognition System for Deaf and Hard-of-Hearing Users. CHI (2022)
Rowan Zellers, Jiasen Lu, Ximing Lu, Youngjae Yu, Yanpeng Zhao, Mohammadreza Salehi, Aditya Kusupati, Jack Hessel, Ali Farhadi, Yejin Choi
MERLOT RESERVE: Neural Script Knowledge through Vision and Language and Sound. CVPR (2022)
Aditya Kusupati, Gantavya Bhatt, Aniket Rege, Matthew Wallingford, Aditya Sinha, Vivek Ramanujan, William Howard-Snyder, Kaifeng Chen, Sham M. Kakade, Prateek Jain, Ali Farhadi
Matryoshka Representations for Adaptive Deployment. CoRR (2022)
Aditya Kusupati, Gantavya Bhatt, Aniket Rege, Matthew Wallingford, Aditya Sinha, Vivek Ramanujan, William Howard-Snyder, Kaifeng Chen, Sham M. Kakade, Prateek Jain, Ali Farhadi
Matryoshka Representation Learning. NeurIPS (2022)
Rowan Zellers, Jiasen Lu, Ximing Lu, Youngjae Yu, Yanpeng Zhao, Mohammadreza Salehi, Aditya Kusupati, Jack Hessel, Ali Farhadi, Yejin Choi
MERLOT Reserve: Neural Script Knowledge through Vision and Language and Sound. CoRR (2022)
Dhruv Jain, Khoa Huynh Anh Nguyen, Steven Goodman, Rachel Grossman-Kahn, Hung Ngo, Aditya Kusupati, Ruofei Du, Alex Olwal, Leah Findlater, Jon E. Froehlich
ProtoSound: A Personalized and Scalable Sound Recognition System for Deaf and Hard-of-Hearing Users. CoRR (2022)
Ivan Evtimov, Ian Covert, Aditya Kusupati, Tadayoshi Kohno
Disrupting Model Training with Adversarial Shortcuts. CoRR (2021)
Aditya Kusupati, Matthew Wallingford, Vivek Ramanujan, Raghav Somani, Jae Sung Park, Krishna Pillutla, Prateek Jain, Sham M. Kakade, Ali Farhadi
LLC: Accurate, Multi-purpose Learnt Low-dimensional Binary Codes. CoRR (2021)
Aditya Kusupati, Matthew Wallingford, Vivek Ramanujan, Raghav Somani, Jae Sung Park, Krishna Pillutla, Prateek Jain, Sham M. Kakade, Ali Farhadi
LLC: Accurate, Multi-purpose Learnt Low-dimensional Binary Codes. NeurIPS (2021)
Dhrubojyoti Roy, Sangeeta Srivastava, Aditya Kusupati, Pranshu Jain, Manik Varma, Anish Arora
One Size Does Not Fit All: Multi-scale, Cascaded RNNs for Radar Classification. ACM Trans. Sens. Networks 17 (2) (2021)
Oindrila Saha, Aditya Kusupati, Harsha Vardhan Simhadri, Manik Varma, Prateek Jain
RNNPool: Efficient Non-linear Pooling for RAM Constrained Inference. CoRR (2020)
Yashoteja Prabhu, Aditya Kusupati, Nilesh Gupta, Manik Varma
Extreme Regression for Dynamic Search Advertising. CoRR (2020)
Oindrila Saha, Aditya Kusupati, Harsha Vardhan Simhadri, Manik Varma, Prateek Jain
RNNPool: Efficient Non-linear Pooling for RAM Constrained Inference. NeurIPS (2020)
Aditya Kusupati, Vivek Ramanujan, Raghav Somani, Mitchell Wortsman, Prateek Jain, Sham M. Kakade, Ali Farhadi
Soft Threshold Weight Reparameterization for Learnable Sparsity. CoRR (2020)
Aditya Kusupati, Vivek Ramanujan, Raghav Somani, Mitchell Wortsman, Prateek Jain, Sham M. Kakade, Ali Farhadi
Soft Threshold Weight Reparameterization for Learnable Sparsity. ICML (2020)
Yashoteja Prabhu, Aditya Kusupati, Nilesh Gupta, Manik Varma
Extreme Regression for Dynamic Search Advertising. WSDM (2020)
Matthew Wallingford, Aditya Kusupati, Keivan Alizadeh-Vahid, Aaron Walsman, Aniruddha Kembhavi, Ali Farhadi
In the Wild: From ML Models to Pragmatic ML Systems. CoRR (2020)
Dhrubojyoti Roy, Sangeeta Srivastava, Pranshu Jain, Aditya Kusupati, Manik Varma, Anish Arora
Lightweight, Deep RNNs for Radar Classification. BuildSys@SenSys (2019)
Aditya Kusupati, Manish Singh, Kush Bhatia, Ashish Kumar, Prateek Jain, Manik Varma
FastGRNN: A Fast, Accurate, Stable and Tiny Kilobyte Sized Gated Recurrent Neural Network. CoRR (2019)
Dhrubojyoti Roy, Sangeeta Srivastava, Aditya Kusupati, Pranshu Jain, Manik Varma, Anish Arora
One Size Does Not Fit All: Multi-Scale, Cascaded RNNs for Radar Classification. BuildSys@SenSys (2019)
Dhrubojyoti Roy, Sangeeta Srivastava, Aditya Kusupati, Pranshu Jain, Manik Varma, Anish Arora
One Size Does Not Fit All: Multi-Scale, Cascaded RNNs for Radar Classification. CoRR (2019)
Aditya Kusupati, Manish Singh, Kush Bhatia, Ashish Kumar, Prateek Jain, Manik Varma
FastGRNN: A Fast, Accurate, Stable and Tiny Kilobyte Sized Gated Recurrent Neural Network. NeurIPS (2018)