student model

DisCo: Distilled Student Models Co-training for Semi-supervised Text Mining EMNLP 2023 DisWOT: Student Architecture Search for Distillation WithOut Training CVPR 2023 DOT: A Distillation-Oriented Trainer ICCV 2023 Dual Student Networks for Data-Free Model Stealing ICLR 2023 HomoDistil: Homotopic Task-Agnostic Distillation of Pre-trained Transformers ICLR 2023 IDEAL: Query-Efficient Data-Free Learning from Black-Box Models ICLR 2023 IMF: Integrating Matched Features Using Attentive Logit in Knowledge Distillation IJCAI 2023 KD-Boost: Boosting Real-Time Semantic Matching in E-commerce with Knowledge Distillation EMNLP 2023 Knowledge Distillation Performs Partial Variance Reduction NeurIPS 2023 Let GPT be a Math Tutor: Teaching Math Word Problem Solvers with Customized Exercise Generation EMNLP 2023 Linkless Link Prediction via Relational Distillation ICML 2023 Progressive Ensemble Distillation: Building Ensembles for Efficient Inference NeurIPS 2023 Scaffolding a Student to Instill Knowledge ICLR 2023 ScaleKD: Distilling Scale-Aware Knowledge in Small Object Detector CVPR 2023 SKDBERT: Compressing BERT via Stochastic Knowledge Distillation AAAI 2023 Towards a Smaller Student: Capacity Dynamic Distillation for Efficient Image Retrieval CVPR 2023 COACH: Cooperative Robot Teaching CoRL 2022 KNOT: Knowledge Distillation Using Optimal Transport for Solving NLP Tasks COLING 2022 Knowledge Distillation As Efficient Pre-Training: Faster Convergence, Higher Data-Efficiency, and Better Transferability CVPR 2022 Knowledge Distillation Transfer Sets and their Impact on Downstream NLU Tasks EMNLP 2022 Learning to Scaffold: Optimizing Model Explanations for Teaching NeurIPS 2022 Multi-Granularity Structural Knowledge Distillation for Language Model Compression ACL 2022 RAIL-KD: RAndom Intermediate Layer Mapping for Knowledge Distillation NAACL 2022 Respecting Transfer Gap in Knowledge Distillation NeurIPS 2022 Rethinking Task-Specific Knowledge Distillation: Contextualized Corpus as Better Textbook EMNLP 2022