model compression

Back Razor: Memory-Efficient Transfer Learning by Self-Sparsified Backpropagation NeurIPS 2022 Batch Normalization Tells You Which Filter Is Important WACV 2022 BATUDE: Budget-Aware Neural Network Compression Based on Tucker Decomposition AAAI 2022 Be Like Water: Adaptive Floating Point for Machine Learning ICML 2022 Benchmarking Transformers-based models on French Spoken Language Understanding tasks Interspeech 2022 bert2BERT: Towards Reusable Pretrained Language Models ACL 2022 BERT Learns to Teach: Knowledge Distillation with Meta Learning ACL 2022 BiBERT: Accurate Fully Binarized BERT ICLR 2022 BiFSMN: Binary Neural Network for Keyword Spotting IJCAI 2022 BigDL 2.0: Seamless Scaling of AI Pipelines From Laptops to Distributed Cluster CVPR 2022 BiMLP: Compact Binary Architectures for Vision Multi-Layer Perceptrons NeurIPS 2022 Binary Early-Exit Network for Adaptive Inference on Low-Resource Devices Interspeech 2022 Bi-volution: A Static and Dynamic Coupled Filter AAAI 2022 Block-Skim: Efficient Question Answering for Transformer AAAI 2022 BMCook: A Task-agnostic Compression Toolkit for Big Models EMNLP 2022 BMInf: An Efficient Toolkit for Big Model Inference and Tuning ACL 2022 Boosted Dense Retriever NAACL 2022 Bridging Fairness and Environmental Sustainability in Natural Language Processing EMNLP 2022 Bunched LPCNet2: Efficient Neural Vocoders Covering Devices from Cloud to Edge Interspeech 2022 Causal Distillation for Language Models NAACL 2022 Channel Balancing for Accurate Quantization of Winograd Convolutions CVPR 2022 Channel Pruning via Lookahead Search Guided Reinforcement Learning WACV 2022 CHEX: CHannel EXploration for CNN Model Compression CVPR 2022 Class-Incremental Learning by Knowledge Distillation With Adaptive Feature Consolidation CVPR 2022 Co-Advise: Cross Inductive Bias Distillation CVPR 2022