David Simcha

According to our database1, David Simcha authored at least 10 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
SOAR: Improved Indexing for Approximate Nearest Neighbor Search.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2021
Scaling Hierarchical Agglomerative Clustering to Billion-sized Datasets.
CoRR, 2021

2020
Accelerating Large-Scale Inference with Anisotropic Vector Quantization.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
New Loss Functions for Fast Maximum Inner Product Search.
CoRR, 2019

Local Orthogonal Decomposition for Maximum Inner Product Search.
CoRR, 2019

Efficient Inner Product Approximation in Hybrid Spaces.
CoRR, 2019

2017
Multiscale Quantization for Fast Similarity Search.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Fast Classification with Binary Prototypes.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016
Quantization based Fast Inner Product Search.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015
Exemplar-based large vocabulary speech recognition using k-nearest neighbors.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015


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