← Optimization & Theory
Deep Learning › Optimization & Theory ›

Efficient Computing

1253 directly classified papers

Papers per year

Papers

Efficient Nearest Neighbor Search for Cross-Encoder Models using Matrix Factorization EMNLP 2022
BBTv2: Towards a Gradient-Free Future with Large Language Models EMNLP 2022
FiE: Building a Global Probability Space by Leveraging Early Fusion in Encoder for Open-Domain Question Answering EMNLP 2022
LittleBird: Efficient Faster & Longer Transformer for Question Answering EMNLP 2022
Understanding and Improving Knowledge Distillation for Quantization Aware Training of Large Transformer Encoders EMNLP 2022
Automatic Document Selection for Efficient Encoder Pretraining EMNLP 2022
Fine-Tuning Pre-trained Transformers into Decaying Fast Weights EMNLP 2022
An Empirical Study on the Transferability of Transformer Modules in Parameter-efficient Fine-tuning EMNLP 2022
Model Cascading: Towards Jointly Improving Efficiency and Accuracy of NLP Systems EMNLP 2022
Non-Autoregressive Models for Fast Sequence Generation EMNLP 2022
Zero-Shot Dynamic Quantization for Transformer Inference EMNLP 2022
Sparse Mixers: Combining MoE and Mixing to build a more efficient BERT EMNLP 2022
Mask More and Mask Later: Efficient Pre-training of Masked Language Models by Disentangling the [MASK] Token EMNLP 2022
Partitioned Gradient Matching-based Data Subset Selection for Compute-Efficient Robust ASR Training EMNLP 2022
FPT: Improving Prompt Tuning Efficiency via Progressive Training EMNLP 2022
Modeling Context With Linear Attention for Scalable Document-Level Translation EMNLP 2022
Revisiting Transformer-based Models for Long Document Classification EMNLP 2022
Who Says Elephants Can’t Run: Bringing Large Scale MoE Models into Cloud Scale Production EMNLP 2022
Findings of the WMT 2022 Shared Task on Efficient Translation EMNLP 2022
The RoyalFlush System for the WMT 2022 Efficiency Task EMNLP 2022
HW-TSC’s Submission for the WMT22 Efficiency Task EMNLP 2022
Revisiting Locality Sensitive Hashing for Vocabulary Selection in Fast Neural Machine Translation EMNLP 2022
Resource-Adaptive Federated Learning with All-In-One Neural Composition NIPS 2022
A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking NIPS 2022
Distributed Optimization for Overparameterized Problems: Achieving Optimal Dimension Independent Communication Complexity NIPS 2022