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Training Simplification and Model Simplification for Deep Learning: A Minimal Effort Back Propagation Method.

, , , , , and . CoRR, (2017)

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Exploring and Distilling Cross-Modal Information for Image Captioning., , , , and . CoRR, (2020)A Hierarchical End-to-End Model for Jointly Improving Text Summarization and Sentiment Classification., , , and . IJCAI, page 4251-4257. ijcai.org, (2018)Regularizing Output Distribution of Abstractive Chinese Social Media Text Summarization for Improved Semantic Consistency., , , , , and . ACM Trans. Asian Low Resour. Lang. Inf. Process., 18 (3): 31:1-31:15 (2019)CAPT: Contrastive Pre-Training for Learning Denoised Sequence Representations., , , , and . CoRR, (2020)Well-classified Examples are Underestimated in Classification with Deep Neural Networks., , , , and . CoRR, (2021)Rethinking Skip Connection with Layer Normalization in Transformers and ResNets., , , , and . CoRR, (2021)Transferring General Multimodal Pretrained Models to Text Recognition., , , , , , and . CoRR, (2022)Distance-wise Graph Contrastive Learning., , , , , , and . CoRR, (2020)A Global Past-Future Early Exit Method for Accelerating Inference of Pre-trained Language Models., , , , , and . NAACL-HLT, page 2013-2023. Association for Computational Linguistics, (2021)Rethinking Skip Connection with Layer Normalization., , , , and . COLING, page 3586-3598. International Committee on Computational Linguistics, (2020)