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Efficient Computing

1253 directly classified papers

Papers per year

Papers

Training Adaptive Computation for Open-Domain Question Answering with Computational Constraints ACL 2021
ReadOnce Transformers: Reusable Representations of Text for Transformers ACL 2021
Instantaneous Grammatical Error Correction with Shallow Aggressive Decoding ACL 2021
Shortformer: Better Language Modeling using Shorter Inputs ACL 2021
Enabling Lightweight Fine-tuning for Pre-trained Language Model Compression based on Matrix Product Operators ACL 2021
Reservoir Transformers ACL 2021
EarlyBERT: Efficient BERT Training via Early-bird Lottery Tickets ACL 2021
Cascaded Head-colliding Attention ACL 2021
Efficient Machine Translation with Model Pruning and Quantization EMNLP 2021
Speeding Up Transformer Training By Using Dataset Subsampling - An Exploratory Analysis EMNLP 2021
HW-TSC’s Participation in the WMT 2021 Efficiency Shared Task EMNLP 2021
The NiuTrans System for the WMT 2021 Efficiency Task EMNLP 2021
TenTrans High-Performance Inference Toolkit for WMT2021 Efficiency Task EMNLP 2021
SOFT: Softmax-free Transformer with Linear Complexity NIPS 2021
Generic Neural Architecture Search via Regression NIPS 2021
Adder Attention for Vision Transformer NIPS 2021
BulletTrain: Accelerating Robust Neural Network Training via Boundary Example Mining NIPS 2021
Fast Certified Robust Training with Short Warmup NIPS 2021
Handling Long-tailed Feature Distribution in AdderNets NIPS 2021
Post-Training Sparsity-Aware Quantization NIPS 2021
Large-Scale Learning with Fourier Features and Tensor Decompositions NIPS 2021
Towards Stable and Robust AdderNets NIPS 2021
Memory-efficient Transformers via Top-k Attention EMNLP 2021
Deeplite NeutrinoTM: A BlackBox Framework for Constrained Deep Learning Model Optimization AAAI 2021
Goten: GPU-Outsourcing Trusted Execution of Neural Network Training AAAI 2021