Towards reinforcement learning Reinforcement means the act of making something stronger, especially a feeling or an idea. So, what kinds of things do we need to make stronger in reinforcement learning? 2022-09-21 Machine learning Deep learning reinforcement learning deep reinforcement learning
PhD thinking accumulation 2022 first half year Robyn said, "Be confused. Confusion is where inspiration comes from." Without a responsible supervisor, I have to do self-supervision. And that's also one of the important reasons I keep focus on the 2022-09-20 Lifetalk PhD
Curriculum learning imitates human learning order from easier classes to harder classes Curriculum learning (CL) is a training strategy that trains a machine learning model from easier data to harder data (with a curriculum), which imitates the meaningful learning order in human curricul 2022-09-20 Machine learning Deep learning curriculum learning
Arxiv preprint generation and jounral sharing rules For a wider impression on the community, we often publish our manuscript to the public (e.g., arxiv) before it is accepted by a journal. 2022-09-20 Scientific Research/科研 scientific research 科研 PhD graduate school plan
MarsLab holes - don't come, please MarsLab is not a place illustrated like its official website. The supervisor doesn't give you any practical suggestions for doing research. This guy hire two PhD students this year for other professor 2022-09-20 Scientific Research/科研 Lifetalk scientific research 科研 PhD graduate school plan
Object detection and detection heads 2 We are continuing to talk about regression/classification based detection framework. 2022-09-12 Machine learning Deep learning Computer vision object detection detection heads
Object detection and detection heads Object detection has a significant relationship with video analysis and image understanding. Region selection is an essential part of object detection. Usually, we call it a (detection) head to distin 2022-09-09 Machine learning Deep learning Computer vision object detection detection heads
Classification vs. localisation vs. semantic segmentation vs. instance segmentation I am confused about segmentation, localisation, and tracking from time to time. Therefore, I want to take some notes and summarise the differences among them. 2022-06-04 Machine learning Deep learning classification localisation segmentation tracking
Self-supervised learning learns representations from the physical nature Self-supervised visual representation learning is a method that learns the physical essence of nature objectives. It is a promising subclass of unsupervised learning. 2022-05-29 Machine learning Deep learning self-supervised nature
Word embedding - Class review We use word embedding to feature representation. The contents of the blog are a note rearranging of course Sequence Model. 2022-05-26 Machine learning Deep learning word embedding representations