knowledge distillation

Knowledge Transfer via Compact Model in Federated Learning (Student Abstract) AAAI 2024 KOALA: Empirical Lessons Toward Memory-Efficient and Fast Diffusion Models for Text-to-Image Synthesis NeurIPS 2024 KW-Design: Pushing the Limit of Protein Design via Knowledge Refinement ICLR 2024 Label Attentive Distillation for GNN-Based Graph Classification AAAI 2024 Label-efficient Semantic Scene Completion with Scribble Annotations IJCAI 2024 LaKD: Length-agnostic Knowledge Distillation for Trajectory Prediction with Any Length Observations NeurIPS 2024 LaMini-LM: A Diverse Herd of Distilled Models from Large-Scale Instructions EACL 2024 Language-Informed Visual Concept Learning ICLR 2024 Language Models are Homer Simpson! Safety Re-Alignment of Fine-tuned Language Models through Task Arithmetic ACL 2024 Large Language Model as a Policy Teacher for Training Reinforcement Learning Agents IJCAI 2024 Large Language Model Guided Knowledge Distillation for Time Series Anomaly Detection IJCAI 2024 Large Language Models are Efficient Learners of Noise-Robust Speech Recognition ICLR 2024 Large Language Models for Data Annotation and Synthesis: A Survey EMNLP 2024 Large Language Models for Time Series: A Survey IJCAI 2024 Layer Attack Unlearning: Fast and Accurate Machine Unlearning via Layer Level Attack and Knowledge Distillation AAAI 2024 Layer Compression of Deep Networks with Straight Flows AAAI 2024 Learning Background Prompts to Discover Implicit Knowledge for Open Vocabulary Object Detection CVPR 2024 Learning Better Representations From Less Data For Propositional Satisfiability NeurIPS 2024 Learning Continual Compatible Representation for Re-indexing Free Lifelong Person Re-identification CVPR 2024 Learning from Imperfect Data: Towards Efficient Knowledge Distillation of Autoregressive Language Models for Text-to-SQL EMNLP 2024 Learning from Natural Language Explanations for Generalizable Entity Matching EMNLP 2024 Learning from Teaching Regularization: Generalizable Correlations Should be Easy to Imitate NeurIPS 2024 Learning Global Controller in Latent Space for Parameter-Efficient Fine-Tuning ACL 2024 Learning to Maximize Mutual Information for Chain-of-Thought Distillation ACL 2024 Learning to Plan for Retrieval-Augmented Large Language Models from Knowledge Graphs EMNLP 2024