Aditya Desai
According to our database1,
Aditya Desai
authored at least 29 papers
between 2010 and 2024.
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Bibliography
2024
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
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
Proceedings of the 38th International Conference on Software Engineering, 2016
2015
IEEE Trans. Vis. Comput. Graph., 2015
2014
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
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011
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
Proceedings of the Database and Expert Systems Applications, 21th International Conference, 2010