In this work, we propose SemEnr, a code semantic enrichment approach for deep code search. Fig. 3 provides an overview of SemEnr and shows that it mainly includes two modules: code enrichment and code search. The code enrichment module contains a retrieval base, which is based on the train...
4. Code LLM for Low-Resource, Low-Level, and Domain-Specific Languages 5. Methods/Models for Downstream Tasks Code Generation Code RAG Code Ranking Code Translation Code Commenting and Summarization Program Repair Code Similarity and Embedding (Clone Detection, Code Search) Code Refactoring and Migrat...
According to Robert Hoekstra, Ph.D., senior manager of Extreme Scale Computing at Sandia, organizations across several industries, including Sandia, are unlocking valuable insights with NVIDIA generative AI, enabling semantic search of their enterprise data. Sandia and NVIDIA are coll...
LabelPrompt: Effective Prompt-based Learning for Relation Classificationno code implementations • 16 Feb 2023 • Wenjie Zhang, Xiaoning Song, ZhenHua Feng, Tianyang Xu, XiaoJun Wu Specifically, associating natural language words that fill the masked token with semantic relation labels (\textit{e....
Sample Enrichment via Temporary Operations on Subsequences for Sequential Recommendation (Sequential + DA) arXiv 2024, [PDF], [Code] Discovering Collaborative Signals for Next POI Recommendation with Iterative Seq2Graph Augmentation (POI Rec + DA) IJCAI 2021, [PDF] Federated Recommender System Based ...
Semantic-aware Contrastive Learning for Electroencephalography-to-Text Generation with Curriculum Learning no code implementations • 23 Jan 2023 • Xiachong Feng, Xiaocheng Feng, Bing Qin To mitigate this challenge, we devise a Curriculum Semantic-aware Contrastive Learning strategy (C-SCL), whi...
Dandelion is semantic text analytics as a service. They provide actions for entity extraction, sentiment analysis, keyword extraction, semantic similarity, and Wikisearch results. View this connector in GitHub. Fun Translations by Troy Taylor Ha...
TAFT: "Task-Adaptive Feature Transformer with Semantic Enrichment for Few-Shot Segmentation", arXiv, 2022 (KAIST). [Paper] MSANet: "MSANet: Multi-Similarity and Attention Guidance for Boosting Few-Shot Segmentation", arXiv, 2022 (AiV Research Group, Korea). [Paper][PyTorch] X-Supervised: ...
This enormous structural variability of glycans is unsurpassed in nature, defining the semantic variation within the “glyco-code” (Gabius, 2018; Gabius and Roth, 2017). It is very likely but not yet proven, that a hypothetical glyco-code of interaction expands to an inter-species “...
Keywords: Feature Selection; Search Methods; Exhaustive Search; Multi-Exhaustive Search; Classification; Machine Learning. Deep learning-based hybrid optimisation for multiclass plant disease detection using leaf images in a distributed environment