Efficient Computing

Distribution Adaptive INT8 Quantization for Training CNNs AAAI 2021 Distribution-Aware Adaptive Multi-Bit Quantization CVPR 2021 Diverse Branch Block: Building a Convolution as an Inception-Like Unit CVPR 2021 Diversifying Sample Generation for Accurate Data-Free Quantization CVPR 2021 Double-Win Quant: Aggressively Winning Robustness of Quantized Deep Neural Networks via Random Precision Training and Inference ICML 2021 Doubly Residual Neural Decoder: Towards Low-Complexity High-Performance Channel Decoding AAAI 2021 Do We Actually Need Dense Over-Parameterization? In-Time Over-Parameterization in Sparse Training ICML 2021 DPFPS: Dynamic and Progressive Filter Pruning for Compressing Convolutional Neural Networks from Scratch AAAI 2021 DPOQ: Dynamic Precision Onion Quantization ACML 2021 DRIFT: A Toolkit for Diachronic Analysis of Scientific Literature EMNLP 2021 DRIVE: One-bit Distributed Mean Estimation NeurIPS 2021 DRONE: Data-aware Low-rank Compression for Large NLP Models NeurIPS 2021 Dynaboard: An Evaluation-As-A-Service Platform for Holistic Next-Generation Benchmarking NeurIPS 2021 Dynamic Coordination Graph for Cooperative Multi-Agent Reinforcement Learning ACML 2021 Dynamic Domain Adaptation for Efficient Inference CVPR 2021 Dynamic Encoder Transducer: A Flexible Solution for Trading Off Accuracy for Latency Interspeech 2021 Dynamic Grained Encoder for Vision Transformers NeurIPS 2021 Dynamic Memory based Attention Network for Sequential Recommendation AAAI 2021 Dynamic Network Quantization for Efficient Video Inference ICCV 2021 Dynamic Region-Aware Convolution CVPR 2021 Dynamic Resolution Network NeurIPS 2021 Dynamic Routing Networks WACV 2021 Dynamic Slimmable Network CVPR 2021 DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification NeurIPS 2021 EarlyBERT: Efficient BERT Training via Early-bird Lottery Tickets ACL 2021