Model Compression

Dual Lottery Ticket Hypothesis ICLR 2022 DyRep: Bootstrapping Training With Dynamic Re-Parameterization CVPR 2022 EdgeFormer: A Parameter-Efficient Transformer for On-Device Seq2seq Generation EMNLP 2022 Edinburgh’s Submission to the WMT 2022 Efficiency Task EMNLP 2022 Efficient Adversarial Training with Robust Early-Bird Tickets EMNLP 2022 Efficient and Accurate Conversion of Spiking Neural Network with Burst Spikes IJCAI 2022 Efficient Two-Stage Progressive Quantization of BERT EMNLP 2022 E-LANG: Energy-Based Joint Inferencing of Super and Swift Language Models ACL 2022 Elastic-Link for Binarized Neural Networks AAAI 2022 Entropy-Driven Mixed-Precision Quantization for Deep Network Design NeurIPS 2022 EPIC TTS Models: Empirical Pruning Investigations Characterizing Text-To-Speech Models Interspeech 2022 Equal Bits: Enforcing Equally Distributed Binary Network Weights AAAI 2022 Evaluating the Impact of Model Scale for Compositional Generalization in Semantic Parsing EMNLP 2022 Evo-ViT: Slow-Fast Token Evolution for Dynamic Vision Transformer AAAI 2022 Exposing and Exploiting Fine-Grained Block Structures for Fast and Accurate Sparse Training NeurIPS 2022 Fairness Reprogramming NeurIPS 2022 Fast Vocabulary Transfer for Language Model Compression EMNLP 2022 FedDUAP: Federated Learning with Dynamic Update and Adaptive Pruning Using Shared Data on the Server IJCAI 2022 Federated Dynamic Sparse Training: Computing Less, Communicating Less, Yet Learning Better AAAI 2022 Finding the Dominant Winning Ticket in Pre-Trained Language Models ACL 2022 Focal and Global Knowledge Distillation for Detectors CVPR 2022 FP8 Quantization: The Power of the Exponent NeurIPS 2022 From Dense to Sparse: Contrastive Pruning for Better Pre-trained Language Model Compression AAAI 2022 From Fully Trained to Fully Random Embeddings: Improving Neural Machine Translation with Compact Word Embedding Tables AAAI 2022 FrugalScore: Learning Cheaper, Lighter and Faster Evaluation Metrics for Automatic Text Generation ACL 2022