Knowledge Distillation

Cross-modality Data Augmentation for End-to-End Sign Language Translation EMNLP 2023 Curriculum Temperature for Knowledge Distillation AAAI 2023 D2TV: Dual Knowledge Distillation and Target-oriented Vision Modeling for Many-to-Many Multimodal Summarization EMNLP 2023 Data-Free Sketch-Based Image Retrieval CVPR 2023 Decoupled Multimodal Distilling for Emotion Recognition CVPR 2023 Democratizing Reasoning Ability: Tailored Learning from Large Language Model EMNLP 2023 Digging out Discrimination Information from Generated Samples for Robust Visual Question Answering ACL 2023 DiMS: Distilling Multiple Steps of Iterative Non-Autoregressive Transformers for Machine Translation ACL 2023 DISCO: Distilling Counterfactuals with Large Language Models ACL 2023 Discriminator-Cooperated Feature Map Distillation for GAN Compression CVPR 2023 Disentangle and Remerge: Interventional Knowledge Distillation for Few-Shot Object Detection from a Conditional Causal Perspective AAAI 2023 DisGUIDE: Disagreement-Guided Data-Free Model Extraction AAAI 2023 DistillCSE: Distilled Contrastive Learning for Sentence Embeddings EMNLP 2023 Distilling Calibrated Knowledge for Stance Detection ACL 2023 Distilling Cross-Temporal Contexts for Continuous Sign Language Recognition CVPR 2023 Distilling Efficient Language-Specific Models for Cross-Lingual Transfer ACL 2023 Distilling Focal Knowledge From Imperfect Expert for 3D Object Detection CVPR 2023 Distilling Influences to Mitigate Prediction Churn in Graph Neural Networks ACML 2023 Distilling Internet-Scale Vision-Language Models into Embodied Agents ICML 2023 Distilling Neural Fields for Real-Time Articulated Shape Reconstruction CVPR 2023 Distilling Out-of-Distribution Robustness from Vision-Language Foundation Models NeurIPS 2023 Distilling Reasoning Capabilities into Smaller Language Models ACL 2023 Distilling Script Knowledge from Large Language Models for Constrained Language Planning ACL 2023 Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes ACL 2023 Distill or Annotate? Cost-Efficient Fine-Tuning of Compact Models ACL 2023