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Higher-order Count Sketch: Dimensionality Reduction That Retains
  Efficient Tensor Operations

Higher-order Count Sketch: Dimensionality Reduction That Retains Efficient Tensor Operations

31 January 2019
Yang Shi
Anima Anandkumar
ArXivPDFHTML

Papers citing "Higher-order Count Sketch: Dimensionality Reduction That Retains Efficient Tensor Operations"

5 / 5 papers shown
Title
Tensor Sketch: Fast and Scalable Polynomial Kernel Approximation
Tensor Sketch: Fast and Scalable Polynomial Kernel Approximation
Ninh Pham
Rasmus Pagh
37
0
0
13 May 2025
Sketch-GNN: Scalable Graph Neural Networks with Sublinear Training
  Complexity
Sketch-GNN: Scalable Graph Neural Networks with Sublinear Training Complexity
Mucong Ding
Tahseen Rabbani
Bang An
Evan Z Wang
Furong Huang
31
21
0
21 Jun 2024
Comfetch: Federated Learning of Large Networks on Constrained Clients
  via Sketching
Comfetch: Federated Learning of Large Networks on Constrained Clients via Sketching
Tahseen Rabbani
Brandon Yushan Feng
Marco Bornstein
Kyle Rui Sang
Yifan Yang
Arjun Rajkumar
A. Varshney
Furong Huang
FedML
59
2
0
17 Sep 2021
Lower Memory Oblivious (Tensor) Subspace Embeddings with Fewer Random
  Bits: Modewise Methods for Least Squares
Lower Memory Oblivious (Tensor) Subspace Embeddings with Fewer Random Bits: Modewise Methods for Least Squares
M. Iwen
Deanna Needell
E. Rebrova
A. Zare
20
22
0
17 Dec 2019
Multimodal Compact Bilinear Pooling for Visual Question Answering and
  Visual Grounding
Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding
Akira Fukui
Dong Huk Park
Daylen Yang
Anna Rohrbach
Trevor Darrell
Marcus Rohrbach
167
1,464
0
06 Jun 2016
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