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Found 6 papers, 2 papers with code
LoRCoN-LO: Long-term Recurrent Convolutional Network-based LiDAR Odometry
We propose a deep learning-based LiDAR odometry estimation method called LoRCoN-LO that utilizes the long-term recurrent convolutional network (LRCN) structure.
GIN: Graph-based Interaction-aware Constraint Policy Optimization for Autonomous Driving
Applying reinforcement learning to autonomous driving entails particular challenges, primarily due to dynamically changing traffic flows.
Graph Similarities and Dual Approach for Sequential Text-to-Image Retrieval
We set a video captioning as a dual learning task that reconstructs the input story from the sampled image sequence.
Learning Neural Processes on the Fly
In this paper, we propose a new algorithm called anytime neural processes that combines DNNs and SNNs and can work in both low-data and high-data regimes.
A Robotic Dating Coaching System Leveraging Online Communities Posts
Can a robot be a personal dating coach?
A Scalable Chatbot Platform Leveraging Online Community Posts: A Proof-of-Concept Study
The development of natural language processing algorithms and the explosive growth of conversational data are encouraging researches on the human-computer conversation.
