Meta-Stock: Task-Difficulty-Adaptive Meta-learning for Sub-new Stock Price Prediction.
CoRR, 2023
Scale-teaching: Robust Multi-scale Training for Time Series Classification with Noisy Labels.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
CTW: Confident Time-Warping for Time-Series Label-Noise Learning.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Preserving Commonsense Knowledge from Pre-trained Language Models via Causal Inference.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Temporal-Frequency Co-training for Time Series Semi-supervised Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023