Learning Decorrelated Representations Efficiently Using Fast Fourier Transform

Author:

Shigeto Yutaro1,Shimbo Masashi1,Yoshikawa Yuya1,Takeuchi Akikazu1

Affiliation:

1. Chiba Institute of Technology,STAIR Lab,Narashino, Chiba,Japan

Funder

New Energy and Industrial Technology Development Organization (NEDO)

JSPS Kakenhi

Publisher

IEEE

Reference30 articles.

1. Bootstrap your own latent: A new approach to self-supervised learning;grill;NeurIPS,2020

2. DisCo: Remedying self-supervised learning on lightweight models with distilled contrastive learning;gao;ECCV,2022

3. Momentum Contrast for Unsupervised Visual Representation Learning

4. On the Equivalence of Holographic and Complex Embeddings for Link Prediction

5. Zero-CL: Instance and feature decorrelation for negative-free symmetric contrastive learning;zhang;ICLRE,2022

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