Aditya Desai

According to our database1, Aditya Desai authored at least 29 papers between 2010 and 2024.

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Bibliography

2024
IDentity with Locality: An ideal hash for gene sequence search.
CoRR, 2024

In defense of parameter sharing for model-compression.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Training Against Disguises: Addressing and Mitigating Bias in Facial Emotion Recognition with Synthetic Data.
Proceedings of the 18th IEEE International Conference on Automatic Face and Gesture Recognition, 2024

2023
Machine learning for cognitive behavioral analysis: datasets, methods, paradigms, and research directions.
Brain Informatics, December, 2023

Heterogeneous federated collaborative filtering using FAIR: Federated Averaging in Random Subspaces.
CoRR, 2023

Scissorhands: Exploiting the Persistence of Importance Hypothesis for LLM KV Cache Compression at Test Time.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Hardware-Aware Compression with Random Operation Access Specific Tile (ROAST) Hashing.
Proceedings of the International Conference on Machine Learning, 2023

2022
Surgical gestures as a method to quantify surgical performance and predict patient outcomes.
npj Digit. Medicine, 2022

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

Efficient model compression with Random Operation Access Specific Tile (ROAST) hashing.
CoRR, 2022

The trade-offs of model size in large recommendation models : 100GB to 10MB Criteo-tb DLRM model.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Random Offset Block Embedding (ROBE) for compressed embedding tables in deep learning recommendation systems.
Proceedings of the Fifth Conference on Machine Learning and Systems, 2022

2021
An efficient neural-network model for real-time fault detection in industrial machine.
Neural Comput. Appl., 2021

Random Offset Block Embedding Array (ROBE) for CriteoTB Benchmark MLPerf DLRM Model : 1000× Compression and 2.7× Faster Inference.
CoRR, 2021

Semantically Constrained Memory Allocation (SCMA) for Embedding in Efficient Recommendation Systems.
CoRR, 2021

Beyond Convolutions: A Novel Deep Learning Approach for Raw Seismic Data Ingestion.
CoRR, 2021

Density Sketches for Sampling and Estimation.
CoRR, 2021

Smart Car Features using Embedded Systems and IoT.
CoRR, 2021

Active Sampling Count Sketch (ASCS) for Online Sparse Estimation of a Trillion Scale Covariance Matrix.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Raw Nav-merge Seismic Data to Subsurface Properties with MLP based Multi-Modal Information Unscrambler.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2016
Program synthesis using natural language.
Proceedings of the 38th International Conference on Software Engineering, 2016

2015
A Full Body Steerable Wind Display for a Locomotion Interface.
IEEE Trans. Vis. Comput. Graph., 2015

2014
Inbuilt Multiband Microstrip Antenna for Portable Devices.
Proceedings of the Advances in Signal Processing and Intelligent Recognition Systems, 2014

Wideband printed dipole antenna with embedded loops and coupling patches for digital TV signal reception.
Proceedings of the 2014 International Conference on Advances in Computing, 2014

2013
Facilitating Verification in Program Loops by Identification of Static Iteration Patterns.
Proceedings of the 20th Asia-Pacific Software Engineering Conference, 2013

2011
DISC: Data-Intensive Similarity Measure for Categorical Data.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

Knowledge management and software testing.
Proceedings of the ICWET '11 International Conference & Workshop on Emerging Trends in Technology, Mumbai, Maharashtra, India, February 25, 2011

2010
SEAR - Scalable, Efficient, Accurate, Robust kNN-based Regression.
Proceedings of the KDIR 2010, 2010

PAGER: Parameterless, Accurate, Generic, Efficient <i>k</i>NN-Based Regression.
Proceedings of the Database and Expert Systems Applications, 21th International Conference, 2010


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