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Found 7 papers, 1 papers with code
Interpretable pap smear cell representation for cervical cancer screening
Findings demonstrate that a score can be calculated for cell abnormality without training models with abnormal samples and localize abnormality to interpret our results with a novel metric based on absolute difference in cross entropy in agglomerative clustering.
Wide Receptive Field and Channel Attention Network for JPEG Compressed Image Deblurring
Therefore, it is very difficult to restore the original image from a blurred and JPEG-compressed image.
Deep Reinforcement Learning for Chatbots Using Clustered Actions and Human-Likeness Rewards
Training chatbots using the reinforcement learning paradigm is challenging due to high-dimensional states, infinite action spaces and the difficulty in specifying the reward function.
Ensemble-Based Deep Reinforcement Learning for Chatbots
Experimental results using chitchat data reveal that (1) near human-like dialogue policies can be induced, (2) generalisation to unseen data is a difficult problem, and (3) training an ensemble of chatbot agents is essential for improved performance over using a single agent.
A Study on Dialogue Reward Prediction for Open-Ended Conversational Agents
The amount of dialogue history to include in a conversational agent is often underestimated and/or set in an empirical and thus possibly naive way.
