Search Results for author: Qizhe Xie

Found 13 papers, 8 papers with code

Meta Pseudo Labels

7 code implementations CVPR 2021 Hieu Pham, Zihang Dai, Qizhe Xie, Minh-Thang Luong, Quoc V. Le

We present Meta Pseudo Labels, a semi-supervised learning method that achieves a new state-of-the-art top-1 accuracy of 90. 2% on ImageNet, which is 1. 6% better than the existing state-of-the-art.

Meta-Learning Semi-Supervised Image Classification

Self-training with Noisy Student improves ImageNet classification

11 code implementations CVPR 2020 Qizhe Xie, Minh-Thang Luong, Eduard Hovy, Quoc V. Le

During the learning of the student, we inject noise such as dropout, stochastic depth, and data augmentation via RandAugment to the student so that the student generalizes better than the teacher.

Ranked #14 on Image Classification on ImageNet ReaL (using extra training data)

Data Augmentation General Classification +1

Unsupervised Data Augmentation for Consistency Training

20 code implementations NeurIPS 2020 Qizhe Xie, Zihang Dai, Eduard Hovy, Minh-Thang Luong, Quoc V. Le

In this work, we present a new perspective on how to effectively noise unlabeled examples and argue that the quality of noising, specifically those produced by advanced data augmentation methods, plays a crucial role in semi-supervised learning.

Image Augmentation Semi-Supervised Image Classification +2

The Profiling Machine: Active Generalization over Knowledge

no code implementations1 Oct 2018 Filip Ilievski, Eduard Hovy, Qizhe Xie, Piek Vossen

The human mind is a powerful multifunctional knowledge storage and management system that performs generalization, type inference, anomaly detection, stereotyping, and other tasks.

Anomaly Detection Management

From Credit Assignment to Entropy Regularization: Two New Algorithms for Neural Sequence Prediction

1 code implementation ACL 2018 Zihang Dai, Qizhe Xie, Eduard Hovy

In this work, we study the credit assignment problem in reward augmented maximum likelihood (RAML) learning, and establish a theoretical equivalence between the token-level counterpart of RAML and the entropy regularized reinforcement learning.

reinforcement-learning reinforcement Learning

Large-scale Cloze Test Dataset Designed by Teachers

no code implementations ICLR 2018 Qizhe Xie, Guokun Lai, Zihang Dai, Eduard Hovy

Cloze test is widely adopted in language exams to evaluate students' language proficiency.

Cloze Test

Controllable Invariance through Adversarial Feature Learning

1 code implementation NeurIPS 2017 Qizhe Xie, Zihang Dai, Yulun Du, Eduard Hovy, Graham Neubig

Learning meaningful representations that maintain the content necessary for a particular task while filtering away detrimental variations is a problem of great interest in machine learning.

General Classification Image Classification +1

An Interpretable Knowledge Transfer Model for Knowledge Base Completion

no code implementations ACL 2017 Qizhe Xie, Xuezhe Ma, Zihang Dai, Eduard Hovy

Knowledge bases are important resources for a variety of natural language processing tasks but suffer from incompleteness.

Knowledge Base Completion Transfer Learning

Recurrent Polynomial Network for Dialogue State Tracking

no code implementations14 Jul 2015 Kai Sun, Qizhe Xie, Kai Yu

Dialogue state tracking (DST) is a process to estimate the distribution of the dialogue states as a dialogue progresses.

dialog state tracking Dialogue State Tracking

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