Search Results for author: Inchul Choi

Found 5 papers, 1 papers with code

BLOOD: Bi-level Learning Framework for Out-of-distribution Generalization

no code implementations29 Sep 2021 Jun-Hyun Bae, Inchul Choi, Minho Lee

In this paper, we propose a novel bi-level learning framework for OOD generalization, which can effectively remove multiple unknown types of biases without any prior bias information or separate re-training steps of a model.

Out-of-Distribution Generalization

Meta-Learned Invariant Risk Minimization

no code implementations24 Mar 2021 Jun-Hyun Bae, Inchul Choi, Minho Lee

Our method is more robust to the data with spurious correlations and can provide an invariant optimal classifier even when data from each distribution are scarce.

Meta-Learning

Distributed Associative Memory Network with Association Reinforcing Loss

no code implementations1 Jan 2021 Taewon Park, Inchul Choi, Minho Lee

To address these problems, here we introduce a novel Distributed Associative Memory architecture (DAM) with Association Reinforcing Loss (ARL) function which enhances the relation reasoning performance of memory augmented neural network.

Memorization Relational Reasoning

Distributed Associative Memory Network with Memory Refreshing Loss

1 code implementation21 Jul 2020 Taewon Park, Inchul Choi, Minho Lee

For this procedure, we replace a single external memory with a set of multiple smaller associative memory blocks and update these sub-memory blocks simultaneously and independently for the distributed representation of input data.

Memorization Question Answering +1

Multi-Scale Generalized Plane Match for Optical Flow

no code implementations11 Apr 2018 Inchul Choi, Arunava Banerjee

In this paper, we propose a novel optical flow estimation framework which can provide accurate dense correspondence and occlusion localization through a multi-scale generalized plane matching approach.

object-detection Object Detection +1

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