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03/30/2023
BOLT: An Automated Deep Learning Framework for Training and Deploying Large-Scale Neural Networks on Commodity CPU Hardware
Efficient large-scale neural network training and inference on commodity...
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01/29/2022
Distributed SLIDE: Enabling Training Large Neural Networks on Low Bandwidth and Simple CPU-Clusters via Model Parallelism and Sparsity
More than 70 of these idle compute are cheap CPUs with few cores that ar...
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03/17/2021
IRLI: Iterative Re-partitioning for Learning to Index
Neural models have transformed the fundamental information retrieval pro...
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12/31/2020
A Constant-time Adaptive Negative Sampling
Softmax classifiers with a very large number of classes naturally occur ...
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08/30/2020
SOLAR: Sparse Orthogonal Learned and Random Embeddings
Dense embedding models are commonly deployed in commercial search engine...
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10/28/2019
Extreme Classification in Log Memory using Count-Min Sketch: A Case Study of Amazon Search with 50M Products
In the last decade, it has been shown that many hard AI tasks, especiall...
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10/07/2019
RAMBO: Repeated And Merged Bloom Filter for Multiple Set Membership Testing (MSMT) in Sub-linear time
Approximate set membership is a common problem with wide applications in...
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09/10/2019
Semantic Similarity Based Softmax Classifier for Zero-Shot Learning
Zero-Shot Learning (ZSL) is a classification task where we do not have e...
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03/07/2019
SLIDE : In Defense of Smart Algorithms over Hardware Acceleration for Large-Scale Deep Learning Systems
Deep Learning (DL) algorithms are the central focus of modern machine le...
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10/09/2018
