efficient inference

Efficient Certified Defenses Against Patch Attacks on Image Classifiers ICLR 2021 FrameExit: Conditional Early Exiting for Efficient Video Recognition CVPR 2021 Generalizable Mixed-Precision Quantization via Attribution Rank Preservation ICCV 2021 Knowledge-aware Leap-LSTM: Integrating Prior Knowledge into Leap-LSTM towards Faster Long Text Classification AAAI 2021 Learning Specialized Activation Functions With the Piecewise Linear Unit ICCV 2021 Length-Adaptive Transformer: Train Once with Length Drop, Use Anytime with Search ACL 2021 LightningDOT: Pre-training Visual-Semantic Embeddings for Real-Time Image-Text Retrieval NAACL 2021 LinearSpeech: Parallel Text-to-Speech with Linear Complexity Interspeech 2021 MeliusNet: An Improved Network Architecture for Binary Neural Networks WACV 2021 NetAdaptV2: Efficient Neural Architecture Search With Fast Super-Network Training and Architecture Optimization CVPR 2021 Not All Images are Worth 16x16 Words: Dynamic Transformers for Efficient Image Recognition NeurIPS 2021 Searching for Fast Model Families on Datacenter Accelerators CVPR 2021 Slow Learning and Fast Inference: Efficient Graph Similarity Computation via Knowledge Distillation NeurIPS 2021 Sparse is Enough in Scaling Transformers NeurIPS 2021 Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks JMLR 2021 SUTD-TrafficQA: A Question Answering Benchmark and an Efficient Network for Video Reasoning Over Traffic Events CVPR 2021 AANet: Adaptive Aggregation Network for Efficient Stereo Matching CVPR 2020 DiPair: Fast and Accurate Distillation for Trillion-Scale Text Matching and Pair Modeling EMNLP 2020 Edinburgh’s Submissions to the 2020 Machine Translation Efficiency Task ACL 2020 Efficient and High-Quality Neural Machine Translation with OpenNMT ACL 2020 Efficient Inference For Neural Machine Translation EMNLP 2020 Fast Sparse ConvNets CVPR 2020 HAT: Hardware-Aware Transformers for Efficient Natural Language Processing ACL 2020 MCUNet: Tiny Deep Learning on IoT Devices NeurIPS 2020 Once-for-All: Train One Network and Specialize it for Efficient Deployment ICLR 2020