research
∙
06/20/2023
Representation Sparsification with Hybrid Thresholding for Fast SPLADE-based Document Retrieval
Learned sparse document representations using a transformer-based neural...
share
research
∙
05/02/2023
Optimizing Guided Traversal for Fast Learned Sparse Retrieval
Recent studies show that BM25-driven dynamic index skipping can greatly ...
research
∙
04/26/2022
Bamboo: Making Preemptible Instances Resilient for Affordable Training of Large DNNs
DNN models across many domains continue to grow in size, resulting in hi...
research
∙
04/23/2022
Dual Skipping Guidance for Document Retrieval with Learned Sparse Representations
This paper proposes a dual skipping guidance scheme with hybrid scoring ...
research
∙
03/29/2022
Compact Token Representations with Contextual Quantization for Efficient Document Re-ranking
Transformer based re-ranking models can achieve high search relevance th...
research
∙
03/17/2022
Canvas: Isolated and Adaptive Swapping for Multi-Applications on Remote Memory
Remote memory techniques for datacenter applications have recently gaine...
research
∙
05/24/2021
Dorylus: Affordable, Scalable, and Accurate GNN Training with Distributed CPU Servers and Serverless Threads
A graph neural network (GNN) enables deep learning on structured graph d...
research
∙
03/11/2021
Composite Re-Ranking for Efficient Document Search with BERT
Although considerable efforts have been devoted to transformer-based ran...
research
∙
04/16/2019
