28 citations · 67 across the 6 of their papers we have counts for
6 papers
DSPNet: Towards Slimmable Pretrained Networks based on Discriminative Self-supervised Learning
Shaoru Wang, Zeming Li, Jin Gao +2
Self-supervised learning (SSL) has achieved promising downstream performance. However, when facing various resource budgets in real-world applications, it costs a huge computation…
Multiple Kernel Clustering with Dual Noise Minimization
Junpu Zhang, Liang Li, Siwei Wang +4
Clustering is a representative unsupervised method widely applied in multi-modal and multi-view scenarios. Multiple kernel clustering (MKC) aims to group data by integrating comple…
Open-Vocabulary One-Stage Detection with Hierarchical Visual-Language Knowledge Distillation
Zongyang Ma, Guan Luo, Jin Gao +5
Open-vocabulary object detection aims to detect novel object categories beyond the training set. The advanced open-vocabulary two-stage detectors employ instance-level visual-to-vi…
Fast-R2D2: A Pretrained Recursive Neural Network based on Pruned CKY for Grammar Induction and Text Representation
Xiang Hu, Haitao Mi, Liang Li +1
Recently CKY-based models show great potential in unsupervised grammar induction thanks to their human-like encoding paradigm, which runs recursively and hierarchically, but requir…
TreeBERT: A Tree-Based Pre-Trained Model for Programming Language
Xue Jiang, Zhuoran Zheng, Chen Lyu +2
Source code can be parsed into the abstract syntax tree (AST) based on defined syntax rules. However, in pre-training, little work has considered the incorporation of tree structur…
Logical Parsing from Natural Language Based on a Neural Translation Model
Liang Li, Pengyu Li, Yifan Liu +2
Semantic parsing has emerged as a significant and powerful paradigm for natural language interface and question answering systems. Traditional methods of building a semantic parser…