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Efficient Computing

596 directly classified papers

Papers per year

Papers

SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization JMLR 2022
EdgeFormer: A Parameter-Efficient Transformer for On-Device Seq2seq Generation EMNLP 2022
Carbink: Fault-Tolerant Far Memory OSDI 2022
Optimization for Classical Machine Learning Problems on the GPU AAAI 2022
Fast Monte-Carlo Approximation of the Attention Mechanism AAAI 2022
Forget-free Continual Learning with Winning Subnetworks ICML 2022
Efficient Test-Time Model Adaptation without Forgetting ICML 2022
Algorithms for the Communication of Samples ICML 2022
Virtual Data Augmentation: A Robust and General Framework for Fine-tuning Pre-trained Models EMNLP 2021
Finetuning Pretrained Transformers into RNNs EMNLP 2021
Understanding the wiring evolution in differentiable neural architecture search AISTATS 2021
Globalizing BERT-based Transformer Architectures for Long Document Summarization EACL 2021
Fast WordPiece Tokenization EMNLP 2021
Understanding and Overcoming the Challenges of Efficient Transformer Quantization 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
SUTD-TrafficQA: A Question Answering Benchmark and an Efficient Network for Video Reasoning Over Traffic Events CVPR 2021
OPANAS: One-Shot Path Aggregation Network Architecture Search for 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
AQD: Towards Accurate Quantized Object Detection CVPR 2021