5 citations · 7 across the 2 of their papers we have counts for
3 papers · 1 filter
Factorized Contrastive Learning: Going Beyond Multi-view Redundancy
Paul Pu Liang, Zihao Deng, Martin Ma +3
In a wide range of multimodal tasks, contrastive learning has become a particularly appealing approach since it can successfully learn representations from abundant unlabeled data…
DIME: Fine-grained Interpretations of Multimodal Models via Disentangled Local Explanations
Yiwei Lyu, Paul Pu Liang, Zihao Deng +2
The ability for a human to understand an Artificial Intelligence (AI) model's decision-making process is critical in enabling stakeholders to visualize model behavior, perform mode…
Training with Multi-Layer Embeddings for Model Reduction
Benjamin Ghaemmaghami, Zihao Deng, Benjamin Cho +4
Modern recommendation systems rely on real-valued embeddings of categorical features. Increasing the dimension of embedding vectors improves model accuracy but comes at a high cost…