The Unreasonable Effectiveness of Structured Random Orthogonal Embeddings

2 March 2017

Papers citing "The Unreasonable Effectiveness of Structured Random Orthogonal Embeddings"

14 / 14 papers shown

Title
Scalable Neural Network Kernels Arijit Sehanobish Krzysztof Choromanski Yunfan Zhao Kumar Avinava Dubey Valerii Likhosherstov 41 4 0 20 Oct 2023
Implicit Two-Tower Policies Yunfan Zhao Qingkai Pan K. Choromanski Deepali Jain Vikas Sindhwani OffRL 31 3 0 02 Aug 2022
Pure Transformers are Powerful Graph Learners Jinwoo Kim Tien Dat Nguyen Seonwoo Min Sungjun Cho Moontae Lee Honglak Lee Seunghoon Hong 43 189 0 06 Jul 2022
Chefs' Random Tables: Non-Trigonometric Random Features Valerii Likhosherstov K. Choromanski Kumar Avinava Dubey Frederick Liu Tamás Sarlós Adrian Weller 33 17 0 30 May 2022
Uniform Approximations for Randomized Hadamard Transforms with Applications Yeshwanth Cherapanamjeri Jelani Nelson 38 11 0 03 Mar 2022
EDEN: Communication-Efficient and Robust Distributed Mean Estimation for Federated Learning S. Vargaftik Ran Ben-Basat Amit Portnoy Gal Mendelson Y. Ben-Itzhak Michael Mitzenmacher FedML 46 45 0 19 Aug 2021
On the Expressive Power of Self-Attention Matrices Valerii Likhosherstov K. Choromanski Adrian Weller 37 34 0 07 Jun 2021
Semi-orthogonal Embedding for Efficient Unsupervised Anomaly Segmentation Jin-Hwa Kim Do-Hyeong Kim Saehoon Yi Taehoon Lee 24 53 0 31 May 2021
Denoising Score Matching with Random Fourier Features Olga Tsymboi Yermek Kapushev Evgeny Burnaev Ivan V. Oseledets 31 1 0 13 Jan 2021
Rethinking Attention with Performers K. Choromanski Valerii Likhosherstov David Dohan Xingyou Song Andreea Gane ... Afroz Mohiuddin Lukasz Kaiser David Belanger Lucy J. Colwell Adrian Weller 31 1,521 0 30 Sep 2020
Random Features for Kernel Approximation: A Survey on Algorithms, Theory, and Beyond Fanghui Liu Xiaolin Huang Yudong Chen Johan A. K. Suykens BDL 44 172 0 23 Apr 2020
Generalisation error in learning with random features and the hidden manifold model Federica Gerace Bruno Loureiro Florent Krzakala M. Mézard Lenka Zdeborová 25 165 0 21 Feb 2020
Compressing RNNs for IoT devices by 15-38x using Kronecker Products Urmish Thakker Jesse G. Beu Dibakar Gope Chu Zhou Igor Fedorov Ganesh S. Dasika Matthew Mattina 19 36 0 07 Jun 2019
Structured adaptive and random spinners for fast machine learning computations Mariusz Bojarski A. Choromańska K. Choromanski Francois Fagan Cédric Gouy-Pailler Anne Morvan Nourhan Sakr Tamás Sarlós Jamal Atif 35 35 0 19 Oct 2016