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Knowledge Distillation

3,219 papers

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Papers

AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning ICLR 2024 An Inversion Attack Against Obfuscated Embedding Matrix in Language Model Inference EMNLP 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 An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in Heterogeneous Federated Learning CVPR 2024 API-BLEND: A Comprehensive Corpora for Training and Benchmarking API LLMs ACL 2024 Apprenticeship-Inspired Elegance: Synergistic Knowledge Distillation Empowers Spiking Neural Networks for Efficient Single-Eye Emotion Recognition IJCAI 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 Assessing the Portability of Parameter Matrices Trained by Parameter-Efficient Finetuning Methods EACL 2024 A Study of Dropout-Induced Modality Bias on Robustness to Missing Video Frames for Audio-Visual Speech Recognition CVPR 2024 ATAP: Automatic Template-Augmented Commonsense Knowledge Graph Completion via Pre-Trained Language Models EMNLP 2024 A teacher-teacher framework for clinical language representation learning NeurIPS 2024 A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image Analysis NeurIPS 2024 A Toolbox for Modelling Engagement with Educational Videos AAAI 2024 AuG-KD: Anchor-Based Mixup Generation for Out-of-Domain Knowledge Distillation ICLR 2024 A Unified Framework for 3D Scene Understanding NeurIPS 2024 A Unified Self-Distillation Framework for Multimodal Sentiment Analysis with Uncertain Missing Modalities AAAI 2024 AutoGPT+P: Affordance-based Task Planning using Large Language Models RSS 2024 AutoVP: An Automated Visual Prompting Framework and Benchmark ICLR 2024 Aux-NAS: Exploiting Auxiliary Labels with Negligibly Extra Inference Cost ICLR 2024 BabyLlama-2: Ensemble-Distilled Models Consistently Outperform Teachers With Limited Data CoNLL 2024