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cs.LG2023
RESTORE: Graph Embedding Assessment Through Reconstruction
Hong Yung Yip, Chidaksh Ravuru, Neelabha Banerjee +4
Following the success of Word2Vec embeddings, graph embeddings (GEs) have gained substantial traction. GEs are commonly generated and evaluated extrinsically on downstream applicat…
cs.LG2023
Few-shot Multimodal Multitask Multilingual Learning
Aman Chadha, Vinija Jain
While few-shot learning as a transfer learning paradigm has gained significant traction for scenarios with limited data, it has primarily been explored in the context of building u…