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11/04/2022
Unsupervised Visual Representation Learning via Mutual Information Regularized Assignment
This paper proposes Mutual Information Regularized Assignment (MIRA), a ...
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07/08/2022
Few-Example Clustering via Contrastive Learning
We propose Few-Example Clustering (FEC), a novel algorithm that performs...
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06/22/2021
Unsupervised Embedding Adaptation via Early-Stage Feature Reconstruction for Few-Shot Classification
We propose unsupervised embedding adaptation for the downstream few-shot...
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05/28/2021
Improving Generalization in Meta-RL with Imaginary Tasks from Latent Dynamics Mixture
The generalization ability of most meta-reinforcement learning (meta-RL)...
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11/27/2019
Novelty Detection Via Blurring
Conventional out-of-distribution (OOD) detection schemes based on variat...
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10/22/2019
Robust Training with Ensemble Consensus
Since deep neural networks are over-parametrized, they may memorize nois...
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04/03/2019
Fourier Phase Retrieval with Extended Support Estimation via Deep Neural Network
We consider the problem of sparse phase retrieval from Fourier transform...
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04/03/2019
Bayesian Approach with Extended Support Estimation for Sparse Regression
A greedy algorithm called Bayesian multiple matching pursuit (BMMP) is p...
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04/01/2019
Tree Search Network for Sparse Regression
We consider the classical sparse regression problem of recovering a spar...
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05/31/2018