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Aditya 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
Machine learning for cognitive behavioral analysis: datasets, methods, paradigms, and research directions. Brain Informatics 10(1): 18 (2023) - [c14]Aditya Desai, Keren Zhou
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
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
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
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
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
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
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 2024-12-04 20:15 CET by the dblp team
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