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07/15/2023
RegExplainer: Generating Explanations for Graph Neural Networks in Regression Task
Graph regression is a fundamental task and has received increasing atten...
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07/15/2023
MixupExplainer: Generalizing Explanations for Graph Neural Networks with Data Augmentation
Graph Neural Networks (GNNs) have received increasing attention due to t...
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05/17/2023
UniEX: An Effective and Efficient Framework for Unified Information Extraction via a Span-extractive Perspective
We propose a new paradigm for universal information extraction (IE) that...
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03/16/2023
Self-Consistent Learning: Cooperation between Generators and Discriminators
Using generated data to improve the performance of downstream discrimina...
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11/21/2022
TCBERT: A Technical Report for Chinese Topic Classification BERT
Bidirectional Encoder Representations from Transformers or BERT <cit.> h...
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10/16/2022
Zero-Shot Learners for Natural Language Understanding via a Unified Multiple Choice Perspective
We propose a new paradigm for zero-shot learners that is format agnostic...
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06/24/2022
Unified BERT for Few-shot Natural Language Understanding
Even as pre-trained language models share a semantic encoder, natural la...
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04/08/2022
BioBART: Pretraining and Evaluation of A Biomedical Generative Language Model
Pretrained language models have served as important backbones for natura...
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03/02/2020
Long Short-Term Sample Distillation
In the past decade, there has been substantial progress at training incr...
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02/21/2020
Accelerating Reinforcement Learning with a Directional-Gaussian-Smoothing Evolution Strategy
Evolution strategy (ES) has been shown great promise in many challenging...
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11/24/2014
The Application of Two-level Attention Models in Deep Convolutional Neural Network for Fine-grained Image Classification
Fine-grained classification is challenging because categories can only b...
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11/24/2014
Scale-Invariant Convolutional Neural Networks
Even though convolutional neural networks (CNN) has achieved near-human ...
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11/19/2014
