research
∙
09/05/2023
Bilevel Scheduled Sampling for Dialogue Generation
Exposure bias poses a common challenge in numerous natural language proc...
share
research
∙
05/23/2023
Advances and Challenges of Multi-task Learning Method in Recommender System: A Survey
Multi-task learning has been widely applied in computational vision, nat...
research
∙
03/21/2023
Heterogeneous-Branch Collaborative Learning for Dialogue Generation
With the development of deep learning, advanced dialogue generation meth...
research
∙
12/02/2022
Towards Diverse, Relevant and Coherent Open-Domain Dialogue Generation via Hybrid Latent Variables
Conditional variational models, using either continuous or discrete late...
research
∙
12/01/2022
Modeling Complex Dialogue Mappings via Sentence Semantic Segmentation Guided Conditional Variational Auto-Encoder
Complex dialogue mappings (CDM), including one-to-many and many-to-one m...
research
∙
05/23/2022
Stop Filtering: Multi-View Attribute-Enhanced Dialogue Learning
There is a growing interest in improving the conversational ability of m...
research
∙
05/05/2022
Diversifying Neural Dialogue Generation via Negative Distillation
Generative dialogue models suffer badly from the generic response proble...
research
∙
03/20/2022
Hierarchical Inductive Transfer for Continual Dialogue Learning
Pre-trained models have achieved excellent performance on the dialogue t...
research
∙
06/07/2021
Generating Relevant and Coherent Dialogue Responses using Self-separated Conditional Variational AutoEncoders
Conditional Variational AutoEncoder (CVAE) effectively increases the div...
research
∙
05/28/2021
THINK: A Novel Conversation Model for Generating Grammatically Correct and Coherent Responses
Many existing conversation models that are based on the encoder-decoder ...
research
∙
02/22/2021
Multi-View Feature Representation for Dialogue Generation with Bidirectional Distillation
Neural dialogue models suffer from low-quality responses when interacted...
research
∙
10/05/2020
Regularizing Dialogue Generation by Imitating Implicit Scenarios
Human dialogues are scenario-based and appropriate responses generally r...
research
∙
09/16/2020
Collaborative Group Learning
Collaborative learning has successfully applied knowledge transfer to gu...
research
∙
03/04/2020
Posterior-GAN: Towards Informative and Coherent Response Generation with Posterior Generative Adversarial Network
Neural conversational models learn to generate responses by taking into ...
research
∙
01/01/2020
Fast Estimation of Information Theoretic Learning Descriptors using Explicit Inner Product Spaces
Kernel methods form a theoretically-grounded, powerful and versatile fra...
research
∙
12/10/2019
No-Trick (Treat) Kernel Adaptive Filtering using Deterministic Features
Kernel methods form a powerful, versatile, and theoretically-grounded un...
research
∙
11/24/2019
Functional Bayesian Filter
We present a general nonlinear Bayesian filter for high-dimensional stat...
research
∙
08/04/2019
Behavior Pattern and Compiled Information Based Performance Prediction in MOOCs
With the development of MOOCs massive open online courses, increasingly ...
research
∙
07/15/2018
Magnitude Bounded Matrix Factorisation for Recommender Systems
Low rank matrix factorisation is often used in recommender systems as a ...
research
∙
03/05/2018