model compression

FT-DeepNets: Fault-Tolerant Convolutional Neural Networks With Kernel-Based Duplication WACV 2022 Functional Ensemble Distillation NeurIPS 2022 Get More at Once: Alternating Sparse Training with Gradient Correction NeurIPS 2022 GPT3.int8(): 8-bit Matrix Multiplication for Transformers at Scale NeurIPS 2022 Gradient and Mangitude Based Pruning for Sparse Deep Neural Networks AAAI 2022 Graph-less Neural Networks: Teaching Old MLPs New Tricks Via Distillation ICLR 2022 GreedyNASv2: Greedier Search With a Greedy Path Filter CVPR 2022 HashFormers: Towards Vocabulary-independent Pre-trained Transformers EMNLP 2022 Hessian-Aware Pruning and Optimal Neural Implant WACV 2022 Heterogeneous Ensemble Knowledge Transfer for Training Large Models in Federated Learning IJCAI 2022 Hilbert Distillation for Cross-Dimensionality Networks NeurIPS 2022 HODEC: Towards Efficient High-Order DEcomposed Convolutional Neural Networks CVPR 2022 HW-TSC’s Submission for the WMT22 Efficiency Task EMNLP 2022 Hybrid Neural Networks for On-Device Directional Hearing AAAI 2022 Hypoformer: Hybrid Decomposition Transformer for Edge-friendly Neural Machine Translation EMNLP 2022 Implicit Feature Decoupling With Depthwise Quantization CVPR 2022 Improved Knowledge Distillation for Pre-trained Language Models via Knowledge Selection EMNLP 2022 Improving Ensemble Distillation With Weight Averaging and Diversifying Perturbation ICML 2022 Information-Theoretic GAN Compression with Variational Energy-based Model NeurIPS 2022 Instance-Aware Dynamic Neural Network Quantization CVPR 2022 Interspace Pruning: Using Adaptive Filter Representations To Improve Training of Sparse CNNs CVPR 2022 Intriguing Properties of Compression on Multilingual Models EMNLP 2022 Is Integer Arithmetic Enough for Deep Learning Training? NeurIPS 2022 i-SpaSP: Structured Neural Pruning via Sparse Signal Recovery L4DC 2022 It's All in the Teacher: Zero-Shot Quantization Brought Closer to the Teacher CVPR 2022