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Efficient Computing

6,876 papers

Papers per year

Papers

Model Cascading: Towards Jointly Improving Efficiency and Accuracy of NLP Systems EMNLP 2022
PEVL: Position-enhanced Pre-training and Prompt Tuning for Vision-language Models EMNLP 2022
Finding Skill Neurons in Pre-trained Transformer-based Language Models EMNLP 2022
Modular and Parameter-Efficient Fine-Tuning for NLP Models EMNLP 2022
BMCook: A Task-agnostic Compression Toolkit for Big Models EMNLP 2022
Iterative Stratified Testing and Measurement for Automated Model Updates EMNLP 2022
SpeechNet: Weakly Supervised, End-to-End Speech Recognition at Industrial Scale EMNLP 2022
Learning Geolocations for Cold-Start and Hard-to-Resolve Addresses via Deep Metric Learning EMNLP 2022
Zero-Shot Dynamic Quantization for Transformer Inference EMNLP 2022
A Stacking-based Efficient Method for Toxic Language Detection on Live Streaming Chat 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
RedApt: An Adaptor for wav2vec 2 EncodingFaster and Smaller Speech Translation without Quality Compromise EMNLP 2022
EdiT5: Semi-Autoregressive Text Editing with T5 Warm-Start EMNLP 2022
SparseAdapter: An Easy Approach for Improving the Parameter-Efficiency of Adapters EMNLP 2022
AlphaTuning: Quantization-Aware Parameter-Efficient Adaptation of Large-Scale Pre-Trained Language Models EMNLP 2022
Different Tunes Played with Equal Skill: Exploring a Unified Optimization Subspace for Parameter-Efficient Tuning EMNLP 2022
Prompt Compression and Contrastive Conditioning for Controllability and Toxicity Reduction in Language Models EMNLP 2022
Hidden State Variability of Pretrained Language Models Can Guide Computation Reduction for Transfer Learning 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
Stock Price Volatility Prediction: A Case Study with AutoML EMNLP 2022
Exploring Robustness of Prefix Tuning in Noisy Data: A Case Study in Financial Sentiment Analysis EMNLP 2022
How Long Is Enough? Exploring the Optimal Intervals of Long-Range Clinical Note Language Modeling EMNLP 2022