140 citations · 329 across the 8 of their papers we have counts for
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cs.CV2019★ 140 cited
AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning
Ximeng Sun, Rameswar Panda, Rogerio Feris +1
Multi-task learning is an open and challenging problem in computer vision. The typical way of conducting multi-task learning with deep neural networks is either through handcrafted…
cs.CV2019★ 23 cited
Weakly-supervised Compositional FeatureAggregation for Few-shot Recognition
Ping Hu, Ximeng Sun, Kate Saenko +1
Learning from a few examples is a challenging task for machine learning. While recent progress has been made for this problem, most of the existing methods ignore the compositional…
cs.CV2019★ 138 cited
Domain Agnostic Learning with Disentangled Representations
Xingchao Peng, Zijun Huang, Ximeng Sun +1
Unsupervised model transfer has the potential to greatly improve the generalizability of deep models to novel domains. Yet the current literature assumes that the separation of tar…