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Self-Contrastive Learning: Single-Viewed Supervised Contrastive Framework Using Sub-network., , , , , and . AAAI, page 197-205. AAAI Press, (2023)Revisiting Intermediate Layer Distillation for Compressing Language Models: An Overfitting Perspective., , , , , , and . EACL (Findings), page 158-175. Association for Computational Linguistics, (2023)NASH: A Simple Unified Framework of Structured Pruning for Accelerating Encoder-Decoder Language Models., , , , , , and . EMNLP (Findings), page 6076-6093. Association for Computational Linguistics, (2023)Self-Contrastive Learning., , , , , and . CoRR, (2021)FINE Samples for Learning with Noisy Labels., , , , and . NeurIPS, page 24137-24149. (2021)A Gift from Label Smoothing: Robust Training with Adaptive Label Smoothing via Auxiliary Classifier under Label Noise., , and . AAAI, page 8325-8333. AAAI Press, (2023)Fine tuning Pre trained Models for Robustness Under Noisy Labels., , , and . CoRR, (2023)Improving Adaptability and Generalizability of Efficient Transfer Learning for Vision-Language Models., , and . CoRR, (2023)Synergy with Translation Artifacts for Training and Inference in Multilingual Tasks., , and . EMNLP, page 6747-6754. Association for Computational Linguistics, (2022)CUDA: Curriculum of Data Augmentation for Long-tailed Recognition., , and . ICLR, OpenReview.net, (2023)