knowledge distillation

An Empirical Study of Multilingual Reasoning Distillation for Question Answering EMNLP 2024 An Image-enhanced Molecular Graph Representation Learning Framework IJCAI 2024 An LLM-Enhanced Adversarial Editing System for Lexical Simplification COLING 2024 A Novel Two-step Fine-tuning Framework for Transfer Learning in Low-Resource Neural Machine Translation NAACL 2024 AntGPT: Can Large Language Models Help Long-term Action Anticipation from Videos? ICLR 2024 An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in Heterogeneous Federated Learning CVPR 2024 AP-Adapter: Improving Generalization of Automatic Prompts on Unseen Text-to-Image Diffusion Models NeurIPS 2024 Apprenticeship-Inspired Elegance: Synergistic Knowledge Distillation Empowers Spiking Neural Networks for Efficient Single-Eye Emotion Recognition IJCAI 2024 A Privacy-preserving Approach to Ingest Knowledge from Proprietary Web-based to Locally Run Models for Medical Progress Note Generation ACL 2024 AQ-DETR: Low-Bit Quantized Detection Transformer with Auxiliary Queries AAAI 2024 AraCLIP: Cross-Lingual Learning for Effective Arabic Image Retrieval ACL 2024 Archimedes-AUEB at SemEval-2024 Task 5: LLM explains Civil Procedure SemEval 2024 Are Large-scale Soft Labels Necessary for Large-scale Dataset Distillation? NeurIPS 2024 AS-ES Learning: Towards efficient CoT learning in small models ACL 2024 A Small and Fast BERT for Chinese Medical Punctuation Restoration Interspeech 2024 A Study of Dropout-Induced Modality Bias on Robustness to Missing Video Frames for Audio-Visual Speech Recognition CVPR 2024 Asymmetric Image Retrieval With Cross Model Compatible Ensembles WACV 2024 Asymmetric Masked Distillation for Pre-Training Small Foundation Models CVPR 2024 A teacher-teacher framework for clinical language representation learning NeurIPS 2024 A Unified Framework for 3D Scene Understanding NeurIPS 2024 Auto-Train-Once: Controller Network Guided Automatic Network Pruning from Scratch CVPR 2024 Aux-NAS: Exploiting Auxiliary Labels with Negligibly Extra Inference Cost ICLR 2024 A Versatile Framework for Continual Test-Time Domain Adaptation: Balancing Discriminability and Generalizability CVPR 2024 BabyHGRN: Exploring RNNs for Sample-Efficient Language Modeling CoNLL 2024 BabyLlama-2: Ensemble-Distilled Models Consistently Outperform Teachers With Limited Data CoNLL 2024