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Robust High-dimensional Memory-augmented Neural Networks

5 October 2020

Luca Benini

Papers citing "Robust High-dimensional Memory-augmented Neural Networks"

21 / 21 papers shown

Title
Retro-li: Small-Scale Retrieval Augmented Generation Supporting Noisy Similarity Searches and Domain Shift Generalization Gentiana Rashiti G. Karunaratne Mrinmaya Sachan Abu Sebastian Abbas Rahimi RALM 216 0 0 12 Sep 2024
Vector-Symbolic Architecture for Event-Based Optical Flow Hongzhi You Yijun Cao Wei Yuan Fanjun Wang Ning Qiao Yongjie Li 108 2 0 14 May 2024
In-Memory Nearest Neighbor Search with FeFET Multi-Bit Content-Addressable Memories Arman Kazemi M. Sharifi Ann Franchesca Laguna F. Müller R. Rajaei R. Olivo T. Kämpfe Michael Niemier X. S. Hu MQ 58 37 0 13 Nov 2020
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments Mathilde Caron Ishan Misra Julien Mairal Priya Goyal Piotr Bojanowski Armand Joulin OCL SSL 264 4,098 0 17 Jun 2020
Few-Shot Learning with Global Class Representations Tiange Luo Aoxue Li Tao Xiang Weiran Huang Liwei Wang 120 114 0 14 Aug 2019
Contrastive Multiview Coding Yonglong Tian Dilip Krishnan Phillip Isola SSL 174 2,409 0 13 Jun 2019
In-memory hyperdimensional computing G. Karunaratne Manuel Le Gallo G. Cherubini Luca Benini Abbas Rahimi Abu Sebastian 72 253 0 04 Jun 2019
Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination Zhirong Wu Yuanjun Xiong Stella X. Yu Dahua Lin SSL 182 3,468 0 05 May 2018
The Kanerva Machine: A Generative Distributed Memory Yan Wu Greg Wayne Alex Graves Timothy Lillicrap VLM SyDa 51 38 0 05 Apr 2018
XNORBIN: A 95 TOp/s/W Hardware Accelerator for Binary Convolutional Neural Networks A. Bahou G. Karunaratne Renzo Andri Lukas Cavigelli Luca Benini MQ 44 45 0 05 Mar 2018
Learning to Compare: Relation Network for Few-Shot Learning Flood Sung Yongxin Yang Li Zhang Tao Xiang Philip Torr Timothy M. Hospedales 308 4,049 0 16 Nov 2017
The High-Dimensional Geometry of Binary Neural Networks Alexander G. Anderson C. P. Berg MQ 68 76 0 19 May 2017
Prototypical Networks for Few-shot Learning Jake C. Snell Kevin Swersky R. Zemel 305 8,154 0 15 Mar 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 829 11,952 0 09 Mar 2017
Matching Networks for One Shot Learning Oriol Vinyals Charles Blundell Timothy Lillicrap Koray Kavukcuoglu Daan Wierstra VLM 378 7,333 0 13 Jun 2016
TensorFlow: A system for large-scale machine learning Martín Abadi P. Barham Jianmin Chen Zhiwen Chen Andy Davis ... Vijay Vasudevan Pete Warden Martin Wicke Yuan Yu Xiaoqiang Zhang GNN AI4CE 433 18,361 0 27 May 2016
One-shot Learning with Memory-Augmented Neural Networks Adam Santoro Sergey Bartunov M. Botvinick Daan Wierstra Timothy Lillicrap 79 525 0 19 May 2016
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.1K 150,364 0 22 Dec 2014
Neural Turing Machines Alex Graves Greg Wayne Ivo Danihelka 111 2,333 0 20 Oct 2014
Memory Networks Jason Weston S. Chopra Antoine Bordes GNN KELM 147 1,709 0 15 Oct 2014
An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks Ian Goodfellow M. Berk Mirza Xia Da Aaron Courville Yoshua Bengio 151 1,455 0 21 Dec 2013