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Papers
Deep versus Wide: An Analysis of Student Architectures for Task-Agnostic Knowledge Distillation of Self-Supervised Speech Models
INTERSPEECH 2022
Accelerating Inference for Pretrained Language Models by Unified Multi-Perspective Early Exiting
COLING 2022
Causal Distillation for Language Models
NAACL 2022
FNet: Mixing Tokens with Fourier Transforms
NAACL 2022
SmartIdx: Reducing Communication Cost in Federated Learning by Exploiting the CNNs Structures
AAAI 2022
Topology-Aware Network Pruning using Multi-stage Graph Embedding and Reinforcement Learning
ICML 2022
Adversarial Data Augmentation for Task-Specific Knowledge Distillation of Pre-trained Transformers
AAAI 2022
FedDUAP: Federated Learning with Dynamic Update and Adaptive Pruning Using Shared Data on the Server
IJCAI 2022
Heterogeneous Ensemble Knowledge Transfer for Training Large Models in Federated Learning
IJCAI 2022
Mr.BiQ: Post-Training Non-Uniform Quantization Based on Minimizing the Reconstruction Error
CVPR 2022
Online Convolutional Re-Parameterization
CVPR 2022
Slimmable Domain Adaptation
CVPR 2022