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model distillation

105 papers

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knowledge distillation (3680) model compression (3283) diffusion model (3720) large language model (12755) image generation (2069) generative model (2889) federated learning (1320) neural network (6616) one-step generation (20) transfer learning (5442)

Papers

Fast Grad-TTS: Towards Efficient Diffusion-Based Speech Generation on CPU INTERSPEECH 2022
F-coref: Fast, Accurate and Easy to Use Coreference Resolution IJCNLP 2022
DENSE: Data-Free One-Shot Federated Learning NIPS 2022
Towards Computationally Feasible Deep Active Learning NAACL 2022
EyePAD++: A Distillation-Based Approach for Joint Eye Authentication and Presentation Attack Detection Using Periocular Images CVPR 2022
Semantic Segmentation of Legal Documents via Rhetorical Roles EMNLP 2022
Production federated keyword spotting via distillation, filtering, and joint federated-centralized training INTERSPEECH 2022
Probing Multilingual Language Models for Discourse IJCNLP 2021
Learning to Explain: Generating Stable Explanations Fast IJCNLP 2021
Active Learning for Sequence Tagging with Deep Pre-trained Models and Bayesian Uncertainty Estimates EACL 2021
Federated Model Distillation with Noise-Free Differential Privacy IJCAI 2021
Positive-Congruent Training: Towards Regression-Free Model Updates CVPR 2021
Teacher-Student MixIT for Unsupervised and Semi-Supervised Speech Separation INTERSPEECH 2021
Anytime Inference with Distilled Hierarchical Neural Ensembles AAAI 2021
Ensemble Attention Distillation for Privacy-Preserving Federated Learning ICCV 2021
Probing Multilingual Language Models for Discourse ACL 2021
FP-NAS: Fast Probabilistic Neural Architecture Search CVPR 2021
Probabilistic Model Distillation for Semantic Correspondence CVPR 2021
Model Distillation for Revenue Optimization: Interpretable Personalized Pricing ICML 2021
Adaptive wavelet distillation from neural networks through interpretations NIPS 2021
Efficient EUD Parsing ACL 2020
Exploring the Boundaries of Low-Resource BERT Distillation EMNLP 2020
Fast, Accurate, and Simple Models for Tabular Data via Augmented Distillation NIPS 2020
Towards Non-task-specific Distillation of BERT via Sentence Representation Approximation AACL 2020
Flambé: A Customizable Framework for Machine Learning Experiments ACL 2019