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Efficient Computing

1253 directly classified papers

Papers per year

Papers

MIA-Former: Efficient and Robust Vision Transformers via Multi-Grained Input-Adaptation AAAI 2022
MLink: Linking Black-Box Models for Collaborative Multi-Model Inference AAAI 2022
Training Up to 50 Class ML Models on 3 $ IoT Hardware via Optimizing One-vs-One Algorithm (Student Abstract) AAAI 2022
AdapLeR: Speeding up Inference by Adaptive Length Reduction ACL 2022
Long-range Sequence Modeling with Predictable Sparse Attention ACL 2022
Compact Token Representations with Contextual Quantization for Efficient Document Re-ranking ACL 2022
ClusterFormer: Neural Clustering Attention for Efficient and Effective Transformer ACL 2022
Token Dropping for Efficient BERT Pretraining ACL 2022
∞-former: Infinite Memory Transformer ACL 2022
Transkimmer: Transformer Learns to Layer-wise Skim ACL 2022
SkipBERT: Efficient Inference with Shallow Layer Skipping ACL 2022
Sparsifying Transformer Models with Trainable Representation Pooling ACL 2022
On the Locality of Attention in Direct Speech Translation ACL 2022
BMInf: An Efficient Toolkit for Big Model Inference and Tuning ACL 2022
Fast Nearest Neighbor Machine Translation ACL 2022
When Chosen Wisely, More Data Is What You Need: A Universal Sample-Efficient Strategy For Data Augmentation ACL 2022
A Simple Hash-Based Early Exiting Approach For Language Understanding and Generation ACL 2022
ED2LM: Encoder-Decoder to Language Model for Faster Document Re-ranking Inference ACL 2022
Attention Mechanism with Energy-Friendly Operations ACL 2022
Retrieval-Free Knowledge-Grounded Dialogue Response Generation with Adapters ACL 2022
Locality-Sensitive Hashing for Long Context Neural Machine Translation ACL 2022
Efficient yet Competitive Speech Translation: FBK@IWSLT2022 ACL 2022
DACT-BERT: Differentiable Adaptive Computation Time for an Efficient BERT Inference ACL 2022
Characterizing the Efficiency vs. Accuracy Trade-off for Long-Context NLP Models ACL 2022
Predicting Attention Sparsity in Transformers ACL 2022