activity
20172020
most citedImplicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation

52 citations · 121 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2020★ 2 cited

Hypothesis Disparity Regularized Mutual Information Maximization

Qicheng Lao, Xiang Jiang, Mohammad Havaei

We propose a hypothesis disparity regularized mutual information maximization~(HDMI) approach to tackle unsupervised hypothesis transfer -- as an effort towards unifying hypothesis…

cs.LG2020★ 52 cited

Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation

Xiang Jiang, Qicheng Lao, Stan Matwin +1

We present an approach for unsupervised domain adaptation---with a strong focus on practical considerations of within-domain class imbalance and between-domain class distribution s…

cs.LG2020★ 29 cited

Continuous Domain Adaptation with Variational Domain-Agnostic Feature Replay

Qicheng Lao, Xiang Jiang, Mohammad Havaei +1

Learning in non-stationary environments is one of the biggest challenges in machine learning. Non-stationarity can be caused by either task drift, i.e., the drift in the conditiona…

cs.LG2018★ 13 cited

On the Importance of Attention in Meta-Learning for Few-Shot Text Classification

Xiang Jiang, Mohammad Havaei, Gabriel Chartrand +5

Current deep learning based text classification methods are limited by their ability to achieve fast learning and generalization when the data is scarce. We address this problem by…

cs.CV2017★ 25 cited

TrajectoryNet: An Embedded GPS Trajectory Representation for Point-based Classification Using Recurrent Neural Networks

Xiang Jiang, Erico N de Souza, Ahmad Pesaranghader +3

Understanding and discovering knowledge from GPS (Global Positioning System) traces of human activities is an essential topic in mobility-based urban computing. We propose Trajecto…