Researcher
Listed as author of the paper on robust learning with noisy labels
How media typically covers Ji Xiangyang
Ji Xiangyang as author
ε-Softmax modifies softmax outputs to approximate one-hot vectors with controllable error, achieving noise-tolerant learning with theoretical guarantees for mitigating label noise in deep neural networks.
“Listed as author of the paper on robust learning with noisy labels”