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Efficient Computing

716 papers

Papers per year

47
183
'20
'25

Papers

OPANAS: One-Shot Path Aggregation Network Architecture Search for Object Detection CVPR 2021
Landmark Regularization: Ranking Guided Super-Net Training in Neural Architecture Search CVPR 2021
AQD: Towards Accurate Quantized Object Detection CVPR 2021
Prioritized Architecture Sampling With Monto-Carlo Tree Search CVPR 2021
Neural Architecture Search With Random Labels CVPR 2021
BCNet: Searching for Network Width With Bilaterally Coupled Network CVPR 2021
Globalizing BERT-based Transformer Architectures for Long Document Summarization EACL 2021
Fast WordPiece Tokenization EMNLP 2021
Virtual Data Augmentation: A Robust and General Framework for Fine-tuning Pre-trained Models EMNLP 2021
Understanding and Overcoming the Challenges of Efficient Transformer Quantization EMNLP 2021
PermuteFormer: Efficient Relative Position Encoding for Long Sequences EMNLP 2021
Finetuning Pretrained Transformers into RNNs EMNLP 2021
Training Dynamic based data filtering may not work for NLP datasets EMNLP 2021
Multi-Layer Random Perturbation Training for improving Model Generalization Efficiently EMNLP 2021
Evaluating the carbon footprint of NLP methods: a survey and analysis of existing tools EMNLP 2021
Memory-efficient Transformers via Top-k Attention EMNLP 2021
Findings of the WMT 2021 Shared Task on Efficient Translation EMNLP 2021
Time-Multiplexed Coded Aperture Imaging: Learned Coded Aperture and Pixel Exposures for Compressive Imaging Systems ICCV 2021
Motion-Aware Dynamic Architecture for Efficient Frame Interpolation ICCV 2021
Extending Neural P-Frame Codecs for B-Frame Coding ICCV 2021
Zen-NAS: A Zero-Shot NAS for High-Performance Image Recognition ICCV 2021
Machine Unlearning for Random Forests ICML 2021
DeepReDuce: ReLU Reduction for Fast Private Inference ICML 2021
K-shot NAS: Learnable Weight-Sharing for NAS with K-shot Supernets ICML 2021
HAWQ-V3: Dyadic Neural Network Quantization ICML 2021