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08/19/2023
Robust Mixture-of-Expert Training for Convolutional Neural Networks
Sparsely-gated Mixture of Expert (MoE), an emerging deep model architect...
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04/12/2023
Improving Diffusion Models for Scene Text Editing with Dual Encoders
Scene text editing is a challenging task that involves modifying or inse...
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03/28/2023
Exploring Natural Language Processing Methods for Interactive Behaviour Modelling
Analysing and modelling interactive behaviour is an important topic in h...
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12/23/2021
Revisiting and Advancing Fast Adversarial Training Through The Lens of Bi-Level Optimization
Adversarial training (AT) has become a widely recognized defense mechani...
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10/15/2020
Reliable Evaluations for Natural Language Inference based on a Unified Cross-dataset Benchmark
Recent studies show that crowd-sourced Natural Language Inference (NLI) ...
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06/10/2020
Why is Attention Not So Attentive?
Attention-based methods have played an important role in model interpret...
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04/29/2020
Demographics Should Not Be the Reason of Toxicity: Mitigating Discrimination in Text Classifications with Instance Weighting
With the recent proliferation of the use of text classifications, resear...
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04/07/2020
CSRN: Collaborative Sequential Recommendation Networks for News Retrieval
Nowadays, news apps have taken over the popularity of paper-based media,...
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09/10/2019
Mitigating Annotation Artifacts in Natural Language Inference Datasets to Improve Cross-dataset Generalization Ability
Natural language inference (NLI) aims at predicting the relationship bet...
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05/15/2019