230 citations · 513 across the 30 of their papers we have counts for
6 papers · 1 filter
Blockwisely Supervised Neural Architecture Search with Knowledge Distillation
Changlin Li, Jiefeng Peng, Liuchun Yuan +4
Neural Architecture Search (NAS), aiming at automatically designing network architectures by machines, is hoped and expected to bring about a new revolution in machine learning. De…
Vision-Language Navigation with Self-Supervised Auxiliary Reasoning Tasks
Fengda Zhu, Yi Zhu, Xiaojun Chang +1
Vision-Language Navigation (VLN) is a task where agents learn to navigate following natural language instructions. The key to this task is to perceive both the visual scene and nat…
Multi-Head Attention with Diversity for Learning Grounded Multilingual Multimodal Representations
Po-Yao Huang, Xiaojun Chang, Alexander Hauptmann
With the aim of promoting and understanding the multilingual version of image search, we leverage visual object detection and propose a model with diverse multi-head attention to l…
Continual Reinforcement Learning with Diversity Exploration and Adversarial Self-Correction
Fengda Zhu, Xiaojun Chang, Runhao Zeng +1
Deep reinforcement learning has made significant progress in the field of continuous control, such as physical control and autonomous driving. However, it is challenging for a rein…
Ensemble Teaching for Hybrid Label Propagation
Chen Gong, Dacheng Tao, Xiaojun Chang +1
Label propagation aims to iteratively diffuse the label information from labeled examples to unlabeled examples over a similarity graph. Current label propagation algorithms cannot…
Forensic shoe-print identification: a brief survey
Imad Rida, Lunke Fei, Hugo Proença +2
As an advanced research topic in forensics science, automatic shoe-print identification has been extensively studied in the last two decades, since shoe marks are the clues most fr…