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Efficient Computing

6,876 papers

Papers per year

Papers

Token Dropping for Efficient BERT Pretraining ACL 2022
The Trade-offs of Domain Adaptation for Neural Language Models ACL 2022
SimKGC: Simple Contrastive Knowledge Graph Completion with Pre-trained Language Models ACL 2022
Fine- and Coarse-Granularity Hybrid Self-Attention for Efficient BERT ACL 2022
Compression of Generative Pre-trained Language Models via Quantization ACL 2022
E-LANG: Energy-Based Joint Inferencing of Super and Swift Language Models ACL 2022
∞-former: Infinite Memory Transformer ACL 2022
UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning ACL 2022
SDR: Efficient Neural Re-ranking using Succinct Document Representation ACL 2022
SkipBERT: Efficient Inference with Shallow Layer Skipping ACL 2022
ABC: Attention with Bounded-memory Control ACL 2022
Pyramid-BERT: Reducing Complexity via Successive Core-set based Token Selection ACL 2022
BitFit: Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-models ACL 2022
DQ-BART: Efficient Sequence-to-Sequence Model via Joint Distillation and Quantization ACL 2022
Kronecker Decomposition for GPT Compression ACL 2022
Efficient Classification of Long Documents Using Transformers ACL 2022
MEKER: Memory Efficient Knowledge Embedding Representation for Link Prediction and Question Answering ACL 2022
TextPruner: A Model Pruning Toolkit for Pre-Trained Language Models ACL 2022
Dynatask: A Framework for Creating Dynamic AI Benchmark Tasks ACL 2022
BMInf: An Efficient Toolkit for Big Model Inference and Tuning ACL 2022
Fast Nearest Neighbor Machine Translation ACL 2022
Reframing Instructional Prompts to GPTk’s Language ACL 2022
Compressing Sentence Representation for Semantic Retrieval via Homomorphic Projective Distillation ACL 2022
MoEfication: Transformer Feed-forward Layers are Mixtures of Experts ACL 2022
Square One Bias in NLP: Towards a Multi-Dimensional Exploration of the Research Manifold ACL 2022