Aditya Desai

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 26

Top Topics

Active Sampling

Random Subspaces

Top Venues

npj Digit. Medicine

Brain Informatics

Publications

Aditya Desai, Anshumali Shrivastava
In defense of parameter sharing for model-compression. ICLR (2024)
Aadith Sukumar, Aditya Desai, Peeyush Singhal, Sai Gokhale, Deepak Kumar Jain, Rahee Walambe, Ketan Kotecha
Training Against Disguises: Addressing and Mitigating Bias in Facial Emotion Recognition with Synthetic Data. FG (2024)
Aditya Desai, Gaurav Gupta, Tianyi Zhang, Anshumali Shrivastava
IDentity with Locality: An ideal hash for gene sequence search. CoRR (2024)
Aditya Desai, Anshumali Shrivastava
In defense of parameter sharing for model-compression. CoRR (2023)
Zichang Liu, Aditya Desai, Fangshuo Liao, Weitao Wang, Victor Xie, Zhaozhuo Xu, Anastasios Kyrillidis, Anshumali Shrivastava
Scissorhands: Exploiting the Persistence of Importance Hypothesis for LLM KV Cache Compression at Test Time. CoRR (2023)
Zichang Liu, Aditya Desai, Fangshuo Liao, Weitao Wang, Victor Xie, Zhaozhuo Xu, Anastasios Kyrillidis, Anshumali Shrivastava
Scissorhands: Exploiting the Persistence of Importance Hypothesis for LLM KV Cache Compression at Test Time. NeurIPS (2023)
Aditya Desai, Benjamin Meisburger, Zichang Liu, Anshumali Shrivastava
Heterogeneous federated collaborative filtering using FAIR: Federated Averaging in Random Subspaces. CoRR (2023)
Aditya Desai, Keren Zhou, Anshumali Shrivastava
Hardware-Aware Compression with Random Operation Access Specific Tile (ROAST) Hashing. ICML (2023)
Priya Bhatt, Amanrose Sethi, Vaibhav Tasgaonkar, Jugal Shroff, Isha Pendharkar, Aditya Desai, Pratyush Sinha, Aditya Deshpande, Gargi Joshi, Anil Rahate, Priyanka Jain, Rahee Walambe, Ketan Kotecha, N. K. Jain
Machine learning for cognitive behavioral analysis: datasets, methods, paradigms, and research directions. Brain Informatics 10 (1) (2023)
Aditya Desai, Keren Zhou, Anshumali Shrivastava
Efficient model compression with Random Operation Access Specific Tile (ROAST) hashing. CoRR (2022)
Aditya Desai, Anshumali Shrivastava
The trade-offs of model size in large recommendation models : A 10000 × compressed criteo-tb DLRM model (100 GB parameters to mere 10MB). CoRR (2022)
Aditya Desai, Anshumali Shrivastava
The trade-offs of model size in large recommendation models : 100GB to 10MB Criteo-tb DLRM model. NeurIPS (2022)
Aditya Desai, Li Chou, Anshumali Shrivastava
Random Offset Block Embedding (ROBE) for compressed embedding tables in deep learning recommendation systems. MLSys (2022)
Runzhuo Ma, Ashwin Ramaswamy, Jiashu Xu, Loc Trinh, Dani Kiyasseh, Timothy N. Chu, Elyssa Y. Wong, Ryan S. Lee, Ivan Rodriguez, Gina Demeo, Aditya Desai, Maxwell X. Otiato, Sidney I. Roberts, Jessica H. Nguyen, Jasper Laca, Yan Liu, Katarina Urbanova, Christian Wagner, Animashree Anandkumar, Jim C. Hu, Andrew J. Hung
Surgical gestures as a method to quantify surgical performance and predict patient outcomes. npj Digit. Medicine 5 (2022)
Abhishek Das, Vivek Dhuri, Aditya Desai, Suyash Ail, Ameya Kadam
Smart Car Features using Embedded Systems and IoT. CoRR (2021)
Amar Kumar Verma, Shivika Nagpal, Aditya Desai, Radhika Sudha
An efficient neural-network model for real-time fault detection in industrial machine. Neural Comput. Appl. 33 (4) (2021)
Aditya Desai, Benjamin Coleman, Anshumali Shrivastava
Density Sketches for Sampling and Estimation. CoRR (2021)
Aditya Desai, Li Chou, Anshumali Shrivastava
Random Offset Block Embedding Array (ROBE) for CriteoTB Benchmark MLPerf DLRM Model : 1000× Compression and 2.7× Faster Inference. CoRR (2021)
Aditya Desai, Zhaozhuo Xu, Menal Gupta, Anu Chandran, Antoine Vial-Aussavy, Anshumali Shrivastava
Raw Nav-merge Seismic Data to Subsurface Properties with MLP based Multi-Modal Information Unscrambler. NeurIPS (2021)
Zhenwei Dai, Aditya Desai, Reinhard Heckel, Anshumali Shrivastava
Active Sampling Count Sketch (ASCS) for Online Sparse Estimation of a Trillion Scale Covariance Matrix. SIGMOD Conference (2021)
Zhaozhuo Xu, Aditya Desai, Menal Gupta, Anu Chandran, Antoine Vial-Aussavy, Anshumali Shrivastava
Beyond Convolutions: A Novel Deep Learning Approach for Raw Seismic Data Ingestion. CoRR (2021)
Aditya Desai, Yanzhou Pan, Kuangyuan Sun, Li Chou, Anshumali Shrivastava
Semantically Constrained Memory Allocation (SCMA) for Embedding in Efficient Recommendation Systems. CoRR (2021)
Zhenwei Dai, Aditya Desai, Reinhard Heckel, Anshumali Shrivastava
Active Sampling Count Sketch (ASCS) for Online Sparse Estimation of a Trillion Scale Covariance Matrix. CoRR (2020)
Aditya Desai, Sumit Gulwani, Vineet Hingorani, Nidhi Jain, Amey Karkare, Mark Marron, Sailesh R, Subhajit Roy
Program synthesis using natural language. ICSE (2016)
Aditya Desai, Sumit Gulwani, Vineet Hingorani, Nidhi Jain, Amey Karkare, Mark Marron, Sailesh R, Subhajit Roy
Program Synthesis using Natural Language. CoRR (2015)
Sandip D. Kulkarni, Charles Fisher, Price Lefler, Aditya Desai, Shanthanu Chakravarthy, Eric R. Pardyjak, Mark A. Minor, John M. Hollerbach
A Full Body Steerable Wind Display for a Locomotion Interface. IEEE Trans. Vis. Comput. Graph. 21 (10) (2015)
Deepak C. Karia, Madhuri Bhujbal, Aditya Desai
Wideband printed dipole antenna with embedded loops and coupling patches for digital TV signal reception. ICACCI (2014)
Aditya Desai, Deepak C. Karia, Madhuri Bhujbal
Inbuilt Multiband Microstrip Antenna for Portable Devices. SIRS (2014)
Aditya Desai, Era Jain, Subhajit Roy
Facilitating Verification in Program Loops by Identification of Static Iteration Patterns. APSEC (1) (2013)
Aditya Desai, Himanshu Singh, Vikram Pudi
DISC: Data-Intensive Similarity Measure for Categorical Data. PAKDD (2) (2011)
Aditya Desai, Himanshu Singh, Vikram Pudi
SEAR - Scalable, Efficient, Accurate, Robust kNN-based Regression. KDIR (2010)
Himanshu Singh, Aditya Desai, Vikram Pudi
NN-Based Regression. DEXA (2) (2010)