knowledge distillation

FutureTOD: Teaching Future Knowledge to Pre-trained Language Model for Task-Oriented Dialogue ACL 2023 G3R: A Graph-Guided Generate-and-Rerank Framework for Complex and Cross-domain Text-to-SQL Generation ACL 2023 General In-hand Object Rotation with Vision and Touch CoRL 2023 Generating Data for Symbolic Language with Large Language Models EMNLP 2023 Generative Bias for Robust Visual Question Answering CVPR 2023 Generic-to-Specific Distillation of Masked Autoencoders CVPR 2023 Genie: Show Me the Data for Quantization CVPR 2023 Geometry and Uncertainty-Aware 3D Point Cloud Class-Incremental Semantic Segmentation CVPR 2023 GeoMIM: Towards Better 3D Knowledge Transfer via Masked Image Modeling for Multi-view 3D Understanding ICCV 2023 GKD: A General Knowledge Distillation Framework for Large-scale Pre-trained Language Model ACL 2023 GlobalFlowNet: Video Stabilization Using Deep Distilled Global Motion Estimates WACV 2023 Global Knowledge Calibration for Fast Open-Vocabulary Segmentation ICCV 2023 Goal-Conditioned Q-learning as Knowledge Distillation AAAI 2023 GPT4All: An Ecosystem of Open Source Compressed Language Models EMNLP 2023 Gradient-based Intra-attention Pruning on Pre-trained Language Models ACL 2023 Grouped Knowledge Distillation for Deep Face Recognition AAAI 2023 H2O Open Ecosystem for State-of-the-art Large Language Models EMNLP 2023 Harnessing Black-Box Control to Boost Commonsense in LM’s Generation EMNLP 2023 Heterogeneous-Branch Collaborative Learning for Dialogue Generation AAAI 2023 Heterogeneous Continual Learning CVPR 2023 Heterogeneous Forgetting Compensation for Class-Incremental Learning ICCV 2023 HOICLIP: Efficient Knowledge Transfer for HOI Detection With Vision-Language Models CVPR 2023 HomoDistil: Homotopic Task-Agnostic Distillation of Pre-trained Transformers ICLR 2023 How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources NeurIPS 2023 How Much do Knowledge Graphs Impact Transformer Models for Extracting Biomedical Events? ACL 2023