[Open DMQA Seminar] Contrastive Learning for Retriever Models

(38:21)

[Open DMQA Seminar] Open-set Algorithms in Deep Learning

(28:27)

[Open DMQA Seminar] Research Trends of Large Language Models

(43:10)

[Open DMQA Seminar] Curriculum learning

(21:25)

[DMQA Open Seminar] Open Set Recognition with Background Data

(25:22)

[Open DMQA Seminar] Audio transformer

(21:40)

[Open DMQA Seminar] Trends in Constrastive Learning

(20:23)

[Open DMQA Seminar] What is Hard Negative Sample?

(28:41)

[Open DMQA Seminar] Change Point Detection in Time Series

(20:2)

[Open DMQA Seminar] Various Normalization Techniques for Deep Learning

(25:6)

[Open DMQA Seminar] Various Normalization Techniques for Deep Learning_v1

(25:6)

[Open DMQA Seminar] Model Evaluation Metrics

(26:40)

[DMQA Open Seminar] Metrics is all you need for Model Evaluation

(40:46)

[Open DMQA Seminar] How to Transfer Knowledge Across Domains by Deep Neural Networks?

(44:27)

[Open DMQA Seminar] Few Shot Learning for Named Entity Recognition (NER)

(21:32)

[Open DMQA Seminar] Deep Neural Networks with Noise Labels

(21:20)

[Open DMQA Seminar] Calibration of Deep Neural Networks

(1:10:53)

[Open DMQA Seminar] Introduction to Deep Clustering

(34:57)

[Open DMQA Seminar] Connecting Texts and Images

(20:50)