81 citations · 642 across the 37 of their papers we have counts for
4 papers · 1 filter
Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation
Risto Vuorio, Shao-Hua Sun, Hexiang Hu +1
Model-agnostic meta-learners aim to acquire meta-learned parameters from similar tasks to adapt to novel tasks from the same distribution with few gradient updates. With the flexib…
Learning Adaptive Classifiers Synthesis for Generalized Few-Shot Learning
Han-Jia Ye, Hexiang Hu, De-Chuan Zhan
Object recognition in the real-world requires handling long-tailed or even open-ended data. An ideal visual system needs to recognize the populated head visual concepts reliably an…
Synthesized Policies for Transfer and Adaptation across Tasks and Environments
Hexiang Hu, Liyu Chen, Boqing Gong +1
The ability to transfer in reinforcement learning is key towards building an agent of general artificial intelligence. In this paper, we consider the problem of learning to simulta…
Evaluating Text-to-Image Matching using Binary Image Selection (BISON)
Hexiang Hu, Ishan Misra, Laurens van der Maaten
Providing systems the ability to relate linguistic and visual content is one of the hallmarks of computer vision. Tasks such as text-based image retrieval and image captioning were…