inference efficiency

Degree-Quant: Quantization-Aware Training for Graph Neural Networks ICLR 2021 DeRF: Decomposed Radiance Fields CVPR 2021 Direction is what you need: Improving Word Embedding Compression in Large Language Models ACL 2021 Dynamic Routing Networks WACV 2021 Efficient Inference for Multilingual Neural Machine Translation EMNLP 2021 Exploring Sparsity in Image Super-Resolution for Efficient Inference CVPR 2021 FATNN: Fast and Accurate Ternary Neural Networks ICCV 2021 Finetuning Pretrained Transformers into RNNs EMNLP 2021 Growing Efficient Deep Networks by Structured Continuous Sparsification ICLR 2021 I-BERT: Integer-only BERT Quantization ICML 2021 Improving Neural Network Efficiency via Post-Training Quantization With Adaptive Floating-Point ICCV 2021 MOOD: Multi-Level Out-of-Distribution Detection CVPR 2021 Selective Feature Compression for Efficient Activity Recognition Inference ICCV 2021 Softmax Tree: An Accurate, Fast Classifier When the Number of Classes Is Large EMNLP 2021 Abusive Language Detection using Syntactic Dependency Graphs EMNLP 2020 BERT Loses Patience: Fast and Robust Inference with Early Exit NeurIPS 2020 Early Exiting BERT for Efficient Document Ranking EMNLP 2020 Efficient EUD Parsing ACL 2020 Exploring the Boundaries of Low-Resource BERT Distillation EMNLP 2020 FastFormers: Highly Efficient Transformer Models for Natural Language Understanding EMNLP 2020 General Purpose Text Embeddings from Pre-trained Language Models for Scalable Inference EMNLP 2020 Improving the Efficiency of Grammatical Error Correction with Erroneous Span Detection and Correction EMNLP 2020 Layerwise Sparse Coding for Pruned Deep Neural Networks with Extreme Compression Ratio AAAI 2020 Learning Efficient Task-Specific Meta-Embeddings with Word Prisms COLING 2020 Losing Heads in the Lottery: Pruning Transformer Attention in Neural Machine Translation EMNLP 2020