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Anshumali Shrivastava

Rice University
Cornell University

192

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1967

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HALOS: Hashing Large Output Space for Cheap Inference.

2022 | MLSys
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Optimizing Learned Bloom Filters: How Much Should Be Learned?

2022 IEEE Embed. Syst. Lett.
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Learning to Retrieve Relevant Experiences for Motion Planning.

2022 CoRR
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Distributed SLIDE: Enabling Training Large Neural Networks on Low Bandwidth and Simple CPU-Clusters via Model Parallelism and Sparsity.

2022 CoRR
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Random Offset Block Embedding (ROBE) for compressed embedding tables in deep learning recommendation systems.

2022 | MLSys
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Active Sampling Count Sketch (ASCS) for Online Sparse Estimation of a Trillion Scale Covariance Matrix

2021 | ACM Symposium on Principles of Database Systems
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Solving hybrid Boolean constraints in continuous space via multilinear Fourier expansions

2021 Artificial Intelligence
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Breaking the Linear Iteration Cost Barrier for Some Well-known Conditional Gradient Methods Using MaxIP Data-structures.

2021 arXiv: Learning
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Locality Sensitive Teaching

2021 NeurIPS | Neural Information Processing Systems
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SOLAR: Sparse Orthogonal Learned and Random Embeddings

2021 ICLR | International Conference on Learning Representations
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Citations (6)