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02/03/2023
Gradient Estimation for Unseen Domain Risk Minimization with Pre-Trained Models
Domain generalization aims to build generalized models that perform well...
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10/13/2022
TiDAL: Learning Training Dynamics for Active Learning
Active learning (AL) aims to select the most useful data samples from an...
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10/11/2022
Measuring and Improving Semantic Diversity of Dialogue Generation
Response diversity has become an important criterion for evaluating the ...
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08/16/2022
Reliable Decision from Multiple Subtasks through Threshold Optimization: Content Moderation in the Wild
Social media platforms struggle to protect users from harmful content th...
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04/22/2022
Meet Your Favorite Character: Open-domain Chatbot Mimicking Fictional Characters with only a Few Utterances
In this paper, we consider mimicking fictional characters as a promising...
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12/13/2021
Understanding and Improving the Exemplar-based Generation for Open-domain Conversation
Exemplar-based generative models for open-domain conversation produce re...
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11/29/2021
Learning with Noisy Labels by Efficient Transition Matrix Estimation to Combat Label Miscorrection
Recent studies on learning with noisy labels have shown remarkable perfo...
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10/27/2021
Temporal Knowledge Distillation for On-device Audio Classification
Improving the performance of on-device audio classification models remai...
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08/28/2021
Distilling the Knowledge of Large-scale Generative Models into Retrieval Models for Efficient Open-domain Conversation
Despite the remarkable performance of large-scale generative models in o...
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04/15/2021
Efficient Click-Through Rate Prediction for Developing Countries via Tabular Learning
Despite the rapid growth of online advertisement in developing countries...
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01/15/2021
"Killing Me" Is Not a Spoiler: Spoiler Detection Model using Graph Neural Networks with Dependency Relation-Aware Attention Mechanism
Several machine learning-based spoiler detection models have been propos...
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12/01/2020
