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01/04/2023
Automating Nearest Neighbor Search Configuration with Constrained Optimization
The approximate nearest neighbor (ANN) search problem is fundamental to ...
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10/12/2022
Large Models are Parsimonious Learners: Activation Sparsity in Trained Transformers
This paper studies the curious phenomenon for machine learning models wi...
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10/11/2022
Decoupled Context Processing for Context Augmented Language Modeling
Language models can be augmented with a context retriever to incorporate...
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06/28/2022
TPU-KNN: K Nearest Neighbor Search at Peak FLOP/s
This paper presents a novel nearest neighbor search algorithm achieving ...
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08/27/2019
New Loss Functions for Fast Maximum Inner Product Search
Quantization based methods are popular for solving large scale maximum i...
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03/25/2019
Local Orthogonal Decomposition for Maximum Inner Product Search
Inverted file and asymmetric distance computation (IVFADC) have been suc...
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03/20/2019
Efficient Inner Product Approximation in Hybrid Spaces
Many emerging use cases of data mining and machine learning operate on l...
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10/01/2018
Truncated Laplacian Mechanism for Approximate Differential Privacy
We derive a class of noise probability distributions to preserve (ϵ, δ)-...
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09/26/2018
Optimal Noise-Adding Mechanism in Additive Differential Privacy
We derive the optimal (0, δ)-differentially private query-output indepen...
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11/29/2017
Now Playing: Continuous low-power music recognition
Existing music recognition applications require a connection to a server...
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05/01/2017
Efficient Natural Language Response Suggestion for Smart Reply
This paper presents a computationally efficient machine-learned method f...
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01/11/2017
Stochastic Generative Hashing
Learning-based binary hashing has become a powerful paradigm for fast se...
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09/04/2015
Quantization based Fast Inner Product Search
We propose a quantization based approach for fast approximate Maximum In...
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04/09/2015
