KIDA: Knowledge Inheritance in Data Aggregation

Overview
Data augmentation for NLP, accepted at EMNLP 2021 Findings

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Code accompanying the paper on "An Empirical Investigation of Domain Generalization with Empirical Risk Minimizers" published at NeurIPS, 2021

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Source code of the paper "Deep Learning of Latent Variable Models for Industrial Process Monitoring".

Source code of the paper "Deep Learning of Latent Variable Models for Industrial Process Monitoring".

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PyTorch code for EMNLP 2021 paper: Don't be Contradicted with Anything! CI-ToD: Towards Benchmarking Consistency for Task-oriented Dialogue System

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Wenzhou-Kean University AI-LAB

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Code for the paper "SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness" (NeurIPS 2021)

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This library contains a Tensorflow implementation of the paper Stability Analysis of Unfolded WMMSE for Power Allocation

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