Invariance, encodings, and generalization: learning identity effects
with neural networks

v1v2v3v4v5 (latest)

Invariance, encodings, and generalization: learning identity effects with neural networks

21 January 2021

Simone Brugiapaglia

ArXiv (abs)PDF HTML

Papers citing "Invariance, encodings, and generalization: learning identity effects with neural networks"

9 / 9 papers shown

Title
Generalizing Outside the Training Set: When Can Neural Networks Learn Identity Effects? Simone Brugiapaglia Maoqing Liu P. Tupper 46 6 0 09 May 2020
What do AI algorithms actually learn? - On false structures in deep learning L. Thesing Vegard Antun A. Hansen 36 21 0 04 Jun 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.8K 95,175 0 11 Oct 2018
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 732 132,363 0 12 Jun 2017
Which Learning Algorithms Can Generalize Identity-Based Rules to Novel Inputs? P. Tupper Bobak Shahriari 29 7 0 12 May 2016
LSTM: A Search Space Odyssey Klaus Greff R. Srivastava Jan Koutník Bas R. Steunebrink Jürgen Schmidhuber AI4TS VLM 130 5,309 0 13 Mar 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.0K 150,312 0 22 Dec 2014
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 282 19,121 0 20 Dec 2014
ADADELTA: An Adaptive Learning Rate Method Matthew D. Zeiler ODL 163 6,632 0 22 Dec 2012