teacher-student learning

ProtGO: Function-Guided Protein Modeling for Unified Representation Learning NeurIPS 2024 Ranking Distillation for Open-Ended Video Question Answering with Insufficient Labels CVPR 2024 Rethinking Centered Kernel Alignment in Knowledge Distillation IJCAI 2024 Scaled Decoupled Distillation CVPR 2024 SD-DiT: Unleashing the Power of Self-supervised Discrimination in Diffusion Transformer CVPR 2024 Self-Distilled Masked Auto-Encoders are Efficient Video Anomaly Detectors CVPR 2024 Taming Self-Training for Open-Vocabulary Object Detection CVPR 2024 Text Simplification via Adaptive Teaching ACL 2024 Toward Student-oriented Teacher Network Training for Knowledge Distillation ICLR 2024 TS-Align: A Teacher-Student Collaborative Framework for Scalable Iterative Finetuning of Large Language Models EMNLP 2024 Your Student is Better Than Expected: Adaptive Teacher-Student Collaboration for Text-Conditional Diffusion Models CVPR 2024 A Teacher-Student Approach for Extracting Informative Speaker Embeddings From Speech Mixtures Interspeech 2023 A Training and Inference Strategy Using Noisy and Enhanced Speech as Target for Speech Enhancement without Clean Speech Interspeech 2023 Boosting Accuracy and Robustness of Student Models via Adaptive Adversarial Distillation CVPR 2023 Cache me if you Can: an Online Cost-aware Teacher-Student framework to Reduce the Calls to Large Language Models EMNLP 2023 Can Language Models Teach? Teacher Explanations Improve Student Performance via Personalization NeurIPS 2023 Consistent-Teacher: Towards Reducing Inconsistent Pseudo-Targets in Semi-Supervised Object Detection CVPR 2023 Continual Variational Autoencoder via Continual Generative Knowledge Distillation AAAI 2023 Curriculum Temperature for Knowledge Distillation AAAI 2023 Distantly-Supervised Named Entity Recognition with Adaptive Teacher Learning and Fine-Grained Student Ensemble AAAI 2023 Hybrid Knowledge Transfer for Improved Cross-Lingual Event Detection via Hierarchical Sample Selection ACL 2023 KD-Zero: Evolving Knowledge Distiller for Any Teacher-Student Pairs NeurIPS 2023 Knowledge Amalgamation for Multi-Label Classification via Label Dependency Transfer AAAI 2023 KT-Net: Knowledge Transfer for Unpaired 3D Shape Completion AAAI 2023 L2T-DLN: Learning to Teach with Dynamic Loss Network NeurIPS 2023