knowledge distillation

Bridging Cross-task Protocol Inconsistency for Distillation in Dense Object Detection ICCV 2023 Bridging the Domain Gap: Self-Supervised 3D Scene Understanding with Foundation Models NeurIPS 2023 Bridging the Gap between Decision and Logits in Decision-based Knowledge Distillation for Pre-trained Language Models ACL 2023 Cache me if you Can: an Online Cost-aware Teacher-Student framework to Reduce the Calls to Large Language Models EMNLP 2023 Can Bad Teaching Induce Forgetting? Unlearning in Deep Networks Using an Incompetent Teacher AAAI 2023 Cap4Video: What Can Auxiliary Captions Do for Text-Video Retrieval? CVPR 2023 Cappy: Outperforming and Boosting Large Multi-Task LMs with a Small Scorer NeurIPS 2023 CaPriDe Learning: Confidential and Private Decentralized Learning Based on Encryption-Friendly Distillation Loss CVPR 2023 CaseEncoder: A Knowledge-enhanced Pre-trained Model for Legal Case Encoding EMNLP 2023 CKDST: Comprehensively and Effectively Distill Knowledge from Machine Translation to End-to-End Speech Translation ACL 2023 Class Attention Transfer Based Knowledge Distillation CVPR 2023 Class Lifelong Learning for Intent Detection via Structure Consolidation Networks ACL 2023 Class-relation Knowledge Distillation for Novel Class Discovery ICCV 2023 CLIPPING: Distilling CLIP-Based Models With a Student Base for Video-Language Retrieval CVPR 2023 CLIPTrans: Transferring Visual Knowledge with Pre-trained Models for Multimodal Machine Translation ICCV 2023 CL-NeRF: Continual Learning of Neural Radiance Fields for Evolving Scene Representation NeurIPS 2023 CLRL-Tuning: A Novel Continual Learning Approach for Automatic Speech Recognition Interspeech 2023 Coaching a Teachable Student CVPR 2023 CocaCLIP: Exploring Distillation of Fully-Connected Knowledge Interaction Graph for Lightweight Text-Image Retrieval ACL 2023 CoLaDa: A Collaborative Label Denoising Framework for Cross-lingual Named Entity Recognition ACL 2023 Collaborative Learning via Prediction Consensus NeurIPS 2023 Collaborative Multi-Teacher Knowledge Distillation for Learning Low Bit-Width Deep Neural Networks WACV 2023 CombLM: Adapting Black-Box Language Models through Small Fine-Tuned Models EMNLP 2023 Cometoid: Distilling Strong Reference-based Machine Translation Metrics into Even Stronger Quality Estimation Metrics EMNLP 2023 Commonsense Knowledge Transfer for Pre-trained Language Models ACL 2023