knowledge distillation

ABC-KD: Attention-Based-Compression Knowledge Distillation for Deep Learning-Based Noise Suppression Interspeech 2023 Accelerating Dataset Distillation via Model Augmentation CVPR 2023 Accelerating Molecular Graph Neural Networks via Knowledge Distillation NeurIPS 2023 Accelerating Multiple Intent Detection and Slot Filling via Targeted Knowledge Distillation EMNLP 2023 Accelerating Vision-Language Pretraining With Free Language Modeling CVPR 2023 Accurate and Structured Pruning for Efficient Automatic Speech Recognition Interspeech 2023 A Comparative Analysis of Task-Agnostic Distillation Methods for Compressing Transformer Language Models EMNLP 2023 A Comparative Study on the Impact of Model Compression Techniques on Fairness in Language Models ACL 2023 Acoustic NLOS Imaging with Cross Modal Knowledge Distillation IJCAI 2023 Active Exploration of Multimodal Complementarity for Few-Shot Action Recognition CVPR 2023 AdapterDistillation: Non-Destructive Task Composition with Knowledge Distillation EMNLP 2023 Adapting Offline Speech Translation Models for Streaming with Future-Aware Distillation and Inference EMNLP 2023 Adaptive Contrastive Knowledge Distillation for BERT Compression ACL 2023 Adaptive Data-Free Quantization CVPR 2023 Adaptive Mixing of Auxiliary Losses in Supervised Learning AAAI 2023 AD-KD: Attribution-Driven Knowledge Distillation for Language Model Compression ACL 2023 ADU-Depth: Attention-based Distillation with Uncertainty Modeling for Depth Estimation CoRL 2023 Adversarial Finetuning with Latent Representation Constraint to Mitigate Accuracy-Robustness Tradeoff ICCV 2023 Adversarial Local Distribution Regularization for Knowledge Distillation WACV 2023 A framework for benchmarking Class-out-of-distribution detection and its application to ImageNet ICLR 2023 A Good Student is Cooperative and Reliable: CNN-Transformer Collaborative Learning for Semantic Segmentation ICCV 2023 AIO-P: Expanding Neural Performance Predictors beyond Image Classification AAAI 2023 Alleviating Catastrophic Forgetting of Incremental Object Detection via Within-Class and Between-Class Knowledge Distillation ICCV 2023 A Metric-Driven Approach to Conformer Layer Pruning for Efficient ASR Inference Interspeech 2023 A Multiple-Teacher Pruning Based Self-Distillation (MT-PSD) Approach to Model Compression for Audio-Visual Wake Word Spotting Interspeech 2023