research
∙
12/30/2022
An Analysis of Attention via the Lens of Exchangeability and Latent Variable Models
With the attention mechanism, transformers achieve significant empirical...
share
research
∙
11/15/2022
3D Cascade RCNN: High Quality Object Detection in Point Clouds
Recent progress on 2D object detection has featured Cascade RCNN, which ...
research
∙
09/26/2022
Out-of-Distribution Detection with Hilbert-Schmidt Independence Optimization
Outlier detection tasks have been playing a critical role in AI safety. ...
research
∙
06/13/2022
Silver-Bullet-3D at ManiSkill 2021: Learning-from-Demonstrations and Heuristic Rule-based Methods for Object Manipulation
This paper presents an overview and comparative analysis of our systems ...
research
∙
05/26/2022
Embed to Control Partially Observed Systems: Representation Learning with Provable Sample Efficiency
Reinforcement learning in partially observed Markov decision processes (...
research
∙
04/20/2022
Sample-Efficient Reinforcement Learning for POMDPs with Linear Function Approximations
Despite the success of reinforcement learning (RL) for Markov decision p...
research
∙
08/05/2021
A Low Rank Promoting Prior for Unsupervised Contrastive Learning
Unsupervised learning is just at a tipping point where it could really t...
research
∙
03/02/2021
A Pose-only Solution to Visual Reconstruction and Navigation
Visual navigation and three-dimensional (3D) scene reconstruction are es...
research
∙
10/11/2020
Segmenting Epipolar Line
Identifying feature correspondence between two images is a fundamental p...
research
∙
09/30/2020
Joint Contrastive Learning with Infinite Possibilities
This paper explores useful modifications of the recent development in co...
research
∙
09/15/2020
A Self Contour-based Rotation and Translation-Invariant Transformation for Point Clouds Recognition
Recently, several direct processing point cloud models have achieved sta...
research
∙
06/23/2020
On the Global Optimality of Model-Agnostic Meta-Learning
Model-agnostic meta-learning (MAML) formulates meta-learning as a bileve...
research
∙
06/11/2020
Learning a Unified Sample Weighting Network for Object Detection
Region sampling or weighting is significantly important to the success o...
research
∙
06/08/2020
Can Temporal-Difference and Q-Learning Learn Representation? A Mean-Field Theory
Temporal-difference and Q-learning play a key role in deep reinforcement...
research
∙
03/08/2020
Generative Adversarial Imitation Learning with Neural Networks: Global Optimality and Convergence Rate
Generative adversarial imitation learning (GAIL) demonstrates tremendous...
research
∙
12/12/2019
Provably Efficient Exploration in Policy Optimization
While policy-based reinforcement learning (RL) achieves tremendous succe...
research
∙
10/08/2019
Multi-Source Domain Adaptation and Semi-Supervised Domain Adaptation with Focus on Visual Domain Adaptation Challenge 2019
This notebook paper presents an overview and comparative analysis of our...
research
∙
08/29/2019
Neural Policy Gradient Methods: Global Optimality and Rates of Convergence
Policy gradient methods with actor-critic schemes demonstrate tremendous...
research
∙
06/25/2019
Neural Proximal/Trust Region Policy Optimization Attains Globally Optimal Policy
Proximal policy optimization and trust region policy optimization (PPO a...
research
∙
06/20/2019
vireoJD-MM at Activity Detection in Extended Videos
This notebook paper presents an overview and comparative analysis of our...
research
∙
06/14/2019
Trimmed Action Recognition, Dense-Captioning Events in Videos, and Spatio-temporal Action Localization with Focus on ActivityNet Challenge 2019
This notebook paper presents an overview and comparative analysis of our...
research
∙
05/24/2019
Neural Temporal-Difference Learning Converges to Global Optima
Temporal-difference learning (TD), coupled with neural networks, is amon...
research
∙
05/09/2019
General Method for Prime-point Cyclic Convolution over the Real Field
A general and fast method is conceived for computing the cyclic convolut...
research
∙
04/25/2019
Exploring Object Relation in Mean Teacher for Cross-Domain Detection
Rendering synthetic data (e.g., 3D CAD-rendered images) to generate anno...
research
∙
01/11/2019
On the Global Convergence of Imitation Learning: A Case for Linear Quadratic Regulator
We study the global convergence of generative adversarial imitation lear...
research
∙
10/13/2018
Equivalent Constraints for Two-View Geometry: Pose Solution/Pure Rotation Identification and 3D Reconstruction
Two-view relative pose estimation and structure reconstruction is a clas...
research
∙
08/11/2018
Fast RodFIter for Attitude Reconstruction from Inertial Measurements
Attitude computation is of vital importance for a variety of application...
research
∙
04/23/2018
