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Found 10 papers, 3 papers with code
Context Retrieval via Normalized Contextual Latent Interaction for Conversational Agent
However, existing methods are still not able to effectively and efficiently exploit relevant information from these auxiliary supplements to further unleash the power of the conversational agents and the language models they use.
Persona-Coded Poly-Encoder: Persona-Guided Multi-Stream Conversational Sentence Scoring
Recent advances in machine learning and deep learning have led to the widespread use of Conversational AI in many practical applications.
Persona-Based Conversational AI: State of the Art and Challenges
First, we provide a literature review focusing on the current state-of-the-art methods that utilize persona information.
On the Unreasonable Efficiency of State Space Clustering in Personalization Tasks
In this effort we consider a reinforcement learning (RL) technique for solving personalization tasks with complex reward signals.
Consistency Regularization with Generative Adversarial Networks for Semi-Supervised Learning
Our experiments show that this new composite consistency regularization based semi-GAN significantly improves its performance and achieves new state-of-the-art performance among GAN-based SSL approaches.
Local Clustering with Mean Teacher for Semi-supervised Learning
In MT, each data point is considered independent of other points during training; however, data points are likely to be close to each other in feature space if they share similar features.
A Survey of Single-Scene Video Anomaly Detection
This survey article summarizes research trends on the topic of anomaly detection in video feeds of a single scene.
Learning a distance function with a Siamese network to localize anomalies in videos
The learned distance function, which is not specific to the target video, is used to measure the distance between each video patch in the testing video and the video patches found in normal training video.
Ranked #18 on
Anomaly Detection
on CUHK Avenue
Estimating a Manifold from a Tangent Bundle Learner
We formulate three methods that use the data assigned to each tangent space to estimate the underlying bounded subspaces for which the tangent space is a faithful estimate of the manifold and offer thoughts on how this perspective is theoretically grounded in the manifold assumption.
Relational Long Short-Term Memory for Video Action Recognition
By doing this, our Relational LSTM is capable of capturing long and short-range spatio-temporal relations between objects in videos in a principled way.
