1 code implementation • NeurIPS 2023 • Chenyu You, Weicheng Dai, Yifei Min, Fenglin Liu, David A. Clifton, S Kevin Zhou, Lawrence Hamilton Staib, James S Duncan
For medical image segmentation, contrastive learning is the dominant practice to improve the quality of visual representations by contrasting semantically similar and dissimilar pairs of samples.
no code implementations • NeurIPS Workshop DL-IG 2020 • Juntang Zhuang, Tommy Tang, Sekhar Tatikonda, Nicha C Dvornek, Yifan Ding, Xenophon Papademetris, James S Duncan
We propose AdaBelief optimizer to simultaneously achieve three goals: fast convergence as in adaptive methods, good generalization as in SGD, and training stability.