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ORCIDAditya Desai
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2020 – today
- 2024
[c16]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: 1-6- [c15]Aditya Desai, Anshumali Shrivastava:
In defense of parameter sharing for model-compression. ICLR 2024 - [i13]Aditya Desai, Gaurav Gupta, Tianyi Zhang, Anshumali Shrivastava:
IDentity with Locality: An ideal hash for gene sequence search. CoRR abs/2406.14901 (2024) - 2023
- [j4]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): 18 (2023) - [c14]Aditya Desai, Keren Zhou, Anshumali Shrivastava:
Hardware-Aware Compression with Random Operation Access Specific Tile (ROAST) Hashing. ICML 2023: 7732-7749 - [c13]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 - [i12]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 abs/2305.17118 (2023) - [i11]Aditya Desai, Anshumali Shrivastava:
In defense of parameter sharing for model-compression. CoRR abs/2310.11611 (2023) - [i10]Aditya Desai, Benjamin Meisburger, Zichang Liu, Anshumali Shrivastava:
Heterogeneous federated collaborative filtering using FAIR: Federated Averaging in Random Subspaces. CoRR abs/2311.01722 (2023) - 2022
- [j3]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) - [c12]Aditya Desai, Li Chou, Anshumali Shrivastava:
Random Offset Block Embedding (ROBE) for compressed embedding tables in deep learning recommendation systems. MLSys 2022 - [c11]Aditya Desai, Anshumali Shrivastava:
The trade-offs of model size in large recommendation models : 100GB to 10MB Criteo-tb DLRM model. NeurIPS 2022 - [i9]Aditya Desai, Keren Zhou, Anshumali Shrivastava:
Efficient model compression with Random Operation Access Specific Tile (ROAST) hashing. CoRR abs/2207.10702 (2022) - [i8]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 abs/2207.10731 (2022) - 2021
- [j2]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): 1297-1310 (2021) - [c10]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: 8740-8752 - [c9]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: 352-364 - [i7]Abhishek Das, Vivek Dhuri, Aditya Desai, Suyash Ail, Ameya Kadam:
Smart Car Features using Embedded Systems and IoT. CoRR abs/2101.00496 (2021) - [i6]Aditya Desai, Benjamin Coleman, Anshumali Shrivastava:
Density Sketches for Sampling and Estimation. CoRR abs/2102.12301 (2021) - [i5]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 abs/2102.13631 (2021) - [i4]Aditya Desai, Yanzhou Pan, Kuangyuan Sun, Li Chou, Anshumali Shrivastava:
Semantically Constrained Memory Allocation (SCMA) for Embedding in Efficient Recommendation Systems. CoRR abs/2103.06124 (2021) - [i3]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 abs/2108.02191 (2021) - 2020
- [i2]Zhenwei Dai, Aditya Desai, Reinhard Heckel, Anshumali Shrivastava:
Active Sampling Count Sketch (ASCS) for Online Sparse Estimation of a Trillion Scale Covariance Matrix. CoRR abs/2010.15951 (2020)
2010 – 2019
- 2016
- [c8]Aditya Desai, Sumit Gulwani, Vineet Hingorani, Nidhi Jain, Amey Karkare, Mark Marron, Sailesh R, Subhajit Roy:
Program synthesis using natural language. ICSE 2016: 345-356 - 2015
- [j1]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): 1146-1159 (2015) - [i1]Aditya Desai, Sumit Gulwani, Vineet Hingorani, Nidhi Jain, Amey Karkare, Mark Marron, Sailesh R, Subhajit Roy:
Program Synthesis using Natural Language. CoRR abs/1509.00413 (2015) - 2014
- [c7]Deepak C. Karia, Madhuri Bhujbal, Aditya Desai:
Wideband printed dipole antenna with embedded loops and coupling patches for digital TV signal reception. ICACCI 2014: 2512-2516 - [c6]Aditya Desai, Deepak C. Karia, Madhuri Bhujbal:
Inbuilt Multiband Microstrip Antenna for Portable Devices. SIRS 2014: 225-234 - 2013
- [c5]Aditya Desai, Era Jain, Subhajit Roy:
Facilitating Verification in Program Loops by Identification of Static Iteration Patterns. APSEC (1) 2013: 83-90 - 2011
- [c4]Aditya Desai, S. Shah:
Knowledge management and software testing. ICWET 2011: 767-770 - [c3]Aditya Desai, Himanshu Singh, Vikram Pudi:
DISC: Data-Intensive Similarity Measure for Categorical Data. PAKDD (2) 2011: 469-481 - 2010
- [c2]Himanshu Singh, Aditya Desai, Vikram Pudi:
PAGER: Parameterless, Accurate, Generic, Efficient kNN-Based Regression. DEXA (2) 2010: 168-176 - [c1]Aditya Desai, Himanshu Singh, Vikram Pudi:
SEAR - Scalable, Efficient, Accurate, Robust kNN-based Regression. KDIR 2010: 392-395
Coauthor Index
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last updated on 2024-12-26 01:54 CET by the dblp team
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