51 citations · 52 across the 3 of their papers we have counts for
3 papers
stat.ML2019★ 1 cited
Higher-order Count Sketch: Dimensionality Reduction That Retains Efficient Tensor Operations
Yang Shi, Animashree Anandkumar
Sketching is a randomized dimensionality-reduction method that aims to preserve relevant information in large-scale datasets. Count sketch is a simple popular sketch which uses a r…
cs.CV2017
Compact Tensor Pooling for Visual Question Answering
Yang Shi, Tommaso Furlanello, Anima Anandkumar
Performing high level cognitive tasks requires the integration of feature maps with drastically different structure. In Visual Question Answering (VQA) image descriptors have spati…
cs.LG2015★ 51 cited
Tensor vs Matrix Methods: Robust Tensor Decomposition under Block Sparse Perturbations
Animashree Anandkumar, Prateek Jain, Yang Shi +1
Robust tensor CP decomposition involves decomposing a tensor into low rank and sparse components. We propose a novel non-convex iterative algorithm with guaranteed recovery. It alt…