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04/25/2023
Bayesian Optimization Meets Self-Distillation
Bayesian optimization (BO) has contributed greatly to improving model pe...
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04/20/2023
Is Cross-modal Information Retrieval Possible without Training?
Encoded representations from a pretrained deep learning model (e.g., BER...
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04/18/2023
D2CSE: Difference-aware Deep continuous prompts for Contrastive Sentence Embeddings
This paper describes Difference-aware Deep continuous prompt for Contras...
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09/26/2022
Improving Multi-fidelity Optimization with a Recurring Learning Rate for Hyperparameter Tuning
Despite the evolution of Convolutional Neural Networks (CNNs), their per...
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09/01/2022
Enhancing Semantic Understanding with Self-supervised Methods for Abstractive Dialogue Summarization
Contextualized word embeddings can lead to state-of-the-art performances...
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01/27/2021
KoreALBERT: Pretraining a Lite BERT Model for Korean Language Understanding
A Lite BERT (ALBERT) has been introduced to scale up deep bidirectional ...
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10/25/2019
Reducing Domain Gap via Style-Agnostic Networks
Deep learning models often fail to maintain their performance on new tes...
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03/26/2019
SRM : A Style-based Recalibration Module for Convolutional Neural Networks
Following the advance of style transfer with Convolutional Neural Networ...
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11/30/2018