teacher network

Adaptive Dual Guidance Knowledge Distillation AAAI 2025 Distilling the Knowledge in Data Pruning ICML 2025 Multi-Teacher Knowledge Distillation with Reinforcement Learning for Visual Recognition AAAI 2025 Direct Distillation between Different Domains ECCV 2024 Efficient Anatomy Segmentation in Laparoscopic Surgery using Multi-Teacher Knowledge Distillation MIDL 2024 PeerAiD: Improving Adversarial Distillation from a Specialized Peer Tutor CVPR 2024 Text Simplification via Adaptive Teaching ACL 2024 Function-Consistent Feature Distillation ICLR 2023 MT4SSL: Boosting Self-Supervised Speech Representation Learning by Integrating Multiple Targets Interspeech 2023 BERT Learns to Teach: Knowledge Distillation with Meta Learning ACL 2022 KNOT: Knowledge Distillation Using Optimal Transport for Solving NLP Tasks COLING 2022 Reliable Adversarial Distillation with Unreliable Teachers ICLR 2022 Robust and Resource-Efficient Data-Free Knowledge Distillation by Generative Pseudo Replay AAAI 2022 Tutoring Helps Students Learn Better: Improving Knowledge Distillation for BERT with Tutor Network EMNLP 2022 Data-Free Knowledge Distillation with Soft Targeted Transfer Set Synthesis AAAI 2021 Distilling Knowledge via Knowledge Review CVPR 2021 Distilling Object Detectors via Decoupled Features CVPR 2021 Self-boosting for Feature Distillation IJCAI 2021 Zero-Shot Knowledge Distillation from a Decision-Based Black-Box Model ICML 2021 PADS: Policy-Adapted Sampling for Visual Similarity Learning CVPR 2020 A Comprehensive Overhaul of Feature Distillation ICCV 2019 Amalgamating Knowledge towards Comprehensive Classification AAAI 2019 Efficient Video Classification Using Fewer Frames CVPR 2019 Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons AAAI 2019 LIT: Learned Intermediate Representation Training for Model Compression ICML 2019