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Tensor sketch
Low-Rank Tucker Approximation of a Tensor from Streaming Data : ; \ \ } Yiming Sun , Yang Guo , Charlene Luo , Joel Tropp , and Madeleine Udell
Polynomial Tensor Sketch for Element-Wise Function of Low-Rank Matrix
CV Link
Low-Rank Pairwise Alignment Bilinear Network for Few-Shot Fine
Fast and Guaranteed Tensor Decomposition Via Sketching
High-Order Attention Models for Visual Question Answering
Visual Attribute Transfer Through Deep Image Analogy ∗
Monet: Moments Embedding Network
Multi-Objective Matrix Normalization for Fine-Grained Visual Recognition
High-Order Attention Models for Visual Question Answering
Monet: Moments Embedding Network∗
Polynomial Tensor Sketch for Element-Wise Function of Low-Rank Matrix
Hadamard Product for Low-Rank Bilinear Pooling
Higher-Order Count Sketch: Dimensionality Reduction That Retains Efficient Tensor Operations
ICML-2020-Paper-Digests.Pdf
Informing Artificial Intelligence Generative Techniques Using Cognitive Theories of Human Creativity
So Far, We Have Introduced…
Efficient Tensor Contraction Via Fast Count Sketch
Top View
Tight Dimensionality Reduction for Sketching Low Degree Polynomial Kernels
15-780: Machine Learning
686: Non-PSD Matrix Sketching with Applications to Regression And
Random Feature Maps for the Itemset Kernel
Tight Dimensionality Reduction for Sketching Low Degree Polynomial Kernels
Oblivious Sketching of High-Degree Polynomial Kernels∗
Multimodal Deep Learning Methods for Person Annotation in Video Sequences
Almost Optimal Tensor Sketch
Aunifying Framework of Bilinear Lstms
Multi-Dimensional Tensor Sketch: Dimensionality Reduction That Retains Efficient Tensor Operations
The CRO Kernel: Using Concomitant Rank Order Hashes for Sparse High Dimensional Randomized Feature Maps
Efficient Tensor Operations Via Compression and Parallel Computation
Kernel Pooling for Convolutional Neural Networks
On Global Feature Pooling for Fine-Grained Visual
Deep Neural Network Approximation Using Tensor Sketching
Self-Supervised Face Representation Learning
Kernel Pooling for Convolutional Neural Networks
Spherical Random Features for Polynomial Kernels