knowledge distillation

Layer-Wise Searching for 1-Bit Detectors CVPR 2021 Learning an Augmented RGB Representation With Cross-Modal Knowledge Distillation for Action Detection ICCV 2021 Learning a Neural Diff for Speech Models Interspeech 2021 Learning Compact Metrics for MT EMNLP 2021 Learning Compatible Embeddings ICCV 2021 Learning Conditional Knowledge Distillation for Degraded-Reference Image Quality Assessment ICCV 2021 Learning Distilled Collaboration Graph for Multi-Agent Perception NeurIPS 2021 Learning From the Master: Distilling Cross-Modal Advanced Knowledge for Lip Reading CVPR 2021 Learning Light-Weight Translation Models from Deep Transformer AAAI 2021 Learning Scene Structure Guidance via Cross-Task Knowledge Transfer for Single Depth Super-Resolution CVPR 2021 Learning Self-Consistency for Deepfake Detection ICCV 2021 Learning Student-Friendly Teacher Networks for Knowledge Distillation NeurIPS 2021 Learning Student Networks in the Wild CVPR 2021 Learning to Augment for Data-scarce Domain BERT Knowledge Distillation AAAI 2021 Learning to Distill Convolutional Features Into Compact Local Descriptors WACV 2021 Learning to Explain: Generating Stable Explanations Fast ACL 2021 Learning to Reweight with Deep Interactions AAAI 2021 Limitations of Knowledge Distillation for Zero-shot Transfer Learning EMNLP 2021 Lipschitz Continuity Guided Knowledge Distillation ICCV 2021 LMdiff: A Visual Diff Tool to Compare Language Models EMNLP 2021 LRC-BERT: Latent-representation Contrastive Knowledge Distillation for Natural Language Understanding AAAI 2021 Marginal Utility Diminishes: Exploring the Minimum Knowledge for BERT Knowledge Distillation ACL 2021 Matching Distributions between Model and Data: Cross-domain Knowledge Distillation for Unsupervised Domain Adaptation ACL 2021 MATE-KD: Masked Adversarial TExt, a Companion to Knowledge Distillation ACL 2021 Membership Privacy for Machine Learning Models Through Knowledge Transfer AAAI 2021