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Adaptive Few-Shot Learning Algorithm for Rare Sound Event Detection
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Augmentation-induced Consistency Regularization for Classification
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Blur the Linguistic Boundary: Interpreting Chinese Buddhist Sutra in English via Neural Machine Translation
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Debias the Black-Box: A Fair Ranking Framework via Knowledge Distillation
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Efficient Private Set Intersection Based on Functional Encryption
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Improving Human Image Synthesis with Residual Fast Fourier Transformation and Wasserstein Distance
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Learning Invariant Representation and Risk Minimized for Unsupervised Accent Domain Adaptation
Unsupervised representation learning for speech audios attained impressive performances for speech recognition tasks, particularly when …
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Leveraging Causal Inference for Explainable Automatic Program Repair
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Machine Unlearning Method Based On Projection Residual
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Micro-Expression Recognition Based on Attribute Information Embedding and Cross-modal Contrastive Learning
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