940 citations · 2k across the 39 of their papers we have counts for
8 papers · 1 filter
Reinforcement Learning from Imperfect Demonstrations under Soft Expert Guidance
Mingxuan Jing, Xiaojian Ma, Wenbing Huang +4
In this paper, we study Reinforcement Learning from Demonstrations (RLfD) that improves the exploration efficiency of Reinforcement Learning (RL) by providing expert demonstrations…
Imitation Learning from Observations by Minimizing Inverse Dynamics Disagreement
Chao Yang, Xiaojian Ma, Wenbing Huang +4
This paper studies Learning from Observations (LfO) for imitation learning with access to state-only demonstrations. In contrast to Learning from Demonstration (LfD) that involves…
Regularized Adversarial Sampling and Deep Time-aware Attention for Click-Through Rate Prediction
Yikai Wang, Liang Zhang, Quanyu Dai +5
Improving the performance of click-through rate (CTR) prediction remains one of the core tasks in online advertising systems. With the rise of deep learning, CTR prediction models…
Deep Point-wise Prediction for Action Temporal Proposal
Luxuan Li, Tao Kong, Fuchun Sun +1
Detecting actions in videos is an important yet challenging task. Previous works usually utilize (a) sliding window paradigms, or (b) per-frame action scoring and grouping to enume…
Attention-based Transfer Learning for Brain-computer Interface
Chuanqi Tan, Fuchun Sun, Tao Kong +2
Different functional areas of the human brain play different roles in brain activity, which has not been paid sufficient research attention in the brain-computer interface (BCI) fi…
FoveaBox: Beyond Anchor-based Object Detector
Tao Kong, Fuchun Sun, Huaping Liu +3
We present FoveaBox, an accurate, flexible, and completely anchor-free framework for object detection. While almost all state-of-the-art object detectors utilize predefined anchors…
Making Sense of Audio Vibration for Liquid Height Estimation in Robotic Pouring
Hongzhuo Liang, Shuang Li, Xiaojian Ma +4
In this paper, we focus on the challenging perception problem in robotic pouring. Most of the existing approaches either leverage visual or haptic information. However, these techn…
Consistent Optimization for Single-Shot Object Detection
Tao Kong, Fuchun Sun, Huaping Liu +2
We present consistent optimization for single stage object detection. Previous works of single stage object detectors usually rely on the regular, dense sampled anchors to generate…