Self-supervised learning (SSL) refers to a machine learning paradigm, and corresponding methods, for processing unlabelled data to obtain useful representations that can help with downstream learning tasks. The most salient thing about SSL methods is that they do not need human-annotated labels, which means they are designed to take in datasets consisting entirely of unlab… WebNov 9, 2024 · 머신러닝의 학습 방법은 크게 지도학습(supervised learning, SL)과 비지도학습(unsupervised learning, UL)으로 나뉘는데요. 이 둘을 나누는 기준은 바로 학습 …

[2103.10994] Self-Supervised Classification Network

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Self-supervision for reinforcement learning (SSL-RL)

WebMay 7, 2024 · Self-Supervised Learning for a RL agent involves the agent learning (and possibly discovering) many predictions about it’s world. For example, a natural self-supervised prediction task within an agent is to learn the transition dynamics of the environment [1-4]. WebApr 13, 2024 · Results. In this work, we propose a novel structure-aware protein self-supervised learning method to effectively capture structural information of proteins. In particular, a graph neural network (GNN) model is pretrained to preserve the protein structural information with self-supervised tasks from a pairwise residue distance … WebSelf-supervised Learning on Graphs: Deep Insights and New Direction Wei Jin, Tyler Derr, Haochen Liu, Yiqi Wang, Suhang Wang, Zitao Liu, Jiliang Tang. Self-Supervised Learning of Contextual Embeddings for Link Prediction in Heterogeneous Networks Ping Wang, Khushbu Agarwal, Colby Ham, Sutanay Choudhury, and Chandan K. Reddy. WWW 2024 top gear america season 2 episode 2