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Found 5 papers, 2 papers with code
An Evaluation Dataset and Strategy for Building Robust Multi-turn Response Selection Model
Multi-turn response selection models have recently shown comparable performance to humans in several benchmark datasets.
Do Response Selection Models Really Know What's Next? Utterance Manipulation Strategies for Multi-turn Response Selection
In this paper, we study the task of selecting the optimal response given a user and system utterance history in retrieval-based multi-turn dialog systems.
Ranked #5 on
Conversational Response Selection
on E-commerce
Truly Batch Apprenticeship Learning with Deep Successor Features
We introduce a novel apprenticeship learning algorithm to learn an expert's underlying reward structure in off-policy model-free \emph{batch} settings.
Evaluating Reinforcement Learning Algorithms in Observational Health Settings
Much attention has been devoted recently to the development of machine learning algorithms with the goal of improving treatment policies in healthcare.
Deep Learning on Key Performance Indicators for Predictive Maintenance in SAP HANA
The experimental results with real-world data confirm the effectiveness of the system and models.
