The seminar aims to introduce the latest research papers.
2023 Dec 19, knowledge guided model, Measuring Human Perception to Improve Open Set Recognition
2023 Octorber 20 Invariant Risk Minimization
2023 September 8, Decopuling MaxLogit for Out-of_distribution detection
2023 August 17, a holistic assessment for the reliablity of machine learning systems
2023 July 20, Prompt Pre-Training with Twenty-Thousand Classes for Open-Vocabulary Visual Recognition
2023 May 23, OpenAUC: Towards AUC-Oriented Open-Set Recognition
2023 March 24 The familiarity hypothesis Explaining the behavior of deep open set methods
2023 January 6 visual prompting via image impainting
2024 Jan, (slides and speaking in Chinese) presentation in The Sixth “Forum on Frontier Innovation in Mathematics and its Interdisciplinary Disciplines in Capital Normal University”, AI+Agriculture: plant disease recognition with limited data, 第六届“首都师范大学数学及其交叉学科前沿创新论坛”, AI+农业：数据受限下的植物疾病识别.
2023 July, lightning talk in ASABE, Embracing Limited and Imperfect Data: A Review on Plant Stress Recognition Using Deep Learning, public slides.
2023 July, presentation in ASABE, Known and Unknown Class Recognition on Plant Species and Diseases, public slides.