Computing & Information Technology
Clock Skewing Strategy to Minimize Dynamic Power and Eliminate Hold Violations in ASIC Circuits
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Improving Shape Awareness and Interpretability in Deep Networks
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Polynomial Implicit Neural Representations for Large Diverse Datasets
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Model for TCR Analysis and its Application to TCR-Epitope Binding Prediction and TCR Clustering
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Implementing Improved Diversity Using Adversarially Learned Transformations for Domain Generalization
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Self-Supervised Technique for Training Vision Transformers
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Regularization Technique for Training Vision Transformers
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Full-stack Obfuscation Tool to Mitigate Neural Architecture Stealing
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Machine Learning Algorithm for Inferring User Activities from IoT Device Events
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SRAM Design with Embedded XNOR Functionality for Binary and Ternary Neural Networks
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