30 citations · 53 across the 2 of their papers we have counts for
4 papers
Predictive Information Accelerates Learning in RL
Kuang-Huei Lee, Ian Fischer, Anthony Liu +4
The Predictive Information is the mutual information between the past and the future, I(X_past; X_future). We hypothesize that capturing the predictive information is useful in RL,…
Learning Visual Relation Priors for Image-Text Matching and Image Captioning with Neural Scene Graph Generators
Kuang-Huei Lee, Hamid Palangi, Xi Chen +2
Grounding language to visual relations is critical to various language-and-vision applications. In this work, we tackle two fundamental language-and-vision tasks: image-text matchi…
Stacked Cross Attention for Image-Text Matching
Kuang-Huei Lee, Xi Chen, Gang Hua +2
In this paper, we study the problem of image-text matching. Inferring the latent semantic alignment between objects or other salient stuff (e.g. snow, sky, lawn) and the correspond…
CleanNet: Transfer Learning for Scalable Image Classifier Training with Label Noise
Kuang-Huei Lee, Xiaodong He, Lei Zhang +1
In this paper, we study the problem of learning image classification models with label noise. Existing approaches depending on human supervision are generally not scalable as manua…