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Found 9 papers, 2 papers with code
Building Korean Abstract Meaning Representation Corpus
To explore the potential sembanking in Korean and ways to represent the meaning of Korean sentences, this paper reports on the process of applying Abstract Meaning Representation to Korean, a semantic representation framework that has been studied in wide range of languages, and its output: the Korean AMR corpus.
Emerging Property of Masked Token for Effective Pre-training
Initially, we delve into an exploration of the inherent properties that a masked token ought to possess.
Salience-Based Adaptive Masking: Revisiting Token Dynamics for Enhanced Pre-training
In this paper, we introduce Saliency-Based Adaptive Masking (SBAM), a novel and cost-effective approach that significantly enhances the pre-training performance of Masked Image Modeling (MIM) approaches by prioritizing token salience.
MedBN: Robust Test-Time Adaptation against Malicious Test Samples
In response to the emerging threat, we propose median batch normalization (MedBN), leveraging the robustness of the median for statistics estimation within the batch normalization layer during test-time inference.
Data Distribution Dynamics in Real-World WiFi-Based Patient Activity Monitoring for Home Healthcare
This paper examines the application of WiFi signals for real-world monitoring of daily activities in home healthcare scenarios.
Automated Audio Captioning and Language-Based Audio Retrieval
This project involved participation in the DCASE 2022 Competition (Task 6) which had two subtasks: (1) Automated Audio Captioning and (2) Language-Based Audio Retrieval.
Robustness Evaluation of Stacked Generative Adversarial Networks using Metamorphic Testing
Synthesising photo-realistic images from natural language is one of the challenging problems in computer vision.
Transfer Learning in Bandits with Latent Continuity
To cope with the latent structural parameter, we consider a transfer learning setting in which an agent must learn to transfer the structural information from the prior tasks to the next task, which is inspired by practical problems such as rate adaptation in wireless link.
Copula and Case-Stacking Annotations for Korean AMR
This paper concerns the application of Abstract Meaning Representation (AMR) to Korean.
