Jihoon Tack | DeepAI

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∙ 02/01/2023

Efficient Meta-Learning via Error-based Context Pruning for Implicit Neural Representations

We introduce an efficient optimization-based meta-learning technique for...

0 Jihoon Tack, et al. ∙

∙ 01/23/2023

Modality-Agnostic Variational Compression of Implicit Neural Representations

We introduce a modality-agnostic neural data compression algorithm based...

0 Jonathan Richard Schwarz, et al. ∙

∙ 10/11/2022

Meta-Learning with Self-Improving Momentum Target

The idea of using a separately trained target model (or teacher) to impr...

11 Jihoon Tack, et al. ∙

∙ 02/21/2022

Generating Videos with Dynamics-aware Implicit Generative Adversarial Networks

In the deep learning era, long video generation of high-quality still re...

8 Sihyun Yu, et al. ∙

∙ 10/27/2021

Meta-Learning Sparse Implicit Neural Representations

Implicit neural representations are a promising new avenue of representi...

16 Jaeho Lee, et al. ∙

∙ 03/08/2021

Consistency Regularization for Adversarial Robustness

Adversarial training (AT) is currently one of the most successful method...

6 Jihoon Tack, et al. ∙

∙ 07/16/2020

CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances

Novelty detection, i.e., identifying whether a given sample is drawn fro...

5 Jihoon Tack, et al. ∙

∙ 06/13/2020

Adversarial Self-Supervised Contrastive Learning

Existing adversarial learning approaches mostly use class labels to gene...

1 Minseon Kim, et al. ∙

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