107 citations · 274 across the 28 of their papers we have counts for
7 papers · 1 filter
Classifier and Exemplar Synthesis for Zero-Shot Learning
Soravit Changpinyo, Wei-Lun Chao, Boqing Gong +1
Zero-shot learning (ZSL) enables solving a task without the need to see its examples. In this paper, we propose two ZSL frameworks that learn to synthesize parameters for novel uns…
Cross-Modal and Hierarchical Modeling of Video and Text
Bowen Zhang, Hexiang Hu, Fei Sha
Visual data and text data are composed of information at multiple granularities. A video can describe a complex scene that is composed of multiple clips or shots, where each depict…
Actor-Attention-Critic for Multi-Agent Reinforcement Learning
Shariq Iqbal, Fei Sha
Reinforcement learning in multi-agent scenarios is important for real-world applications but presents challenges beyond those seen in single-agent settings. We present an actor-cri…
Aiming to Know You Better Perhaps Makes Me a More Engaging Dialogue Partner
Yury Zemlyanskiy, Fei Sha
There have been several attempts to define a plausible motivation for a chit-chat dialogue agent that can lead to engaging conversations. In this work, we explore a new direction w…
Multi-Task Learning for Sequence Tagging: An Empirical Study
Soravit Changpinyo, Hexiang Hu, Fei Sha
We study three general multi-task learning (MTL) approaches on 11 sequence tagging tasks. Our extensive empirical results show that in about 50% of the cases, jointly learning all…
Cross-Dataset Adaptation for Visual Question Answering
Wei-Lun Chao, Hexiang Hu, Fei Sha
We investigate the problem of cross-dataset adaptation for visual question answering (Visual QA). Our goal is to train a Visual QA model on a source dataset but apply it to another…