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Selective Differential Privacy for Language Modeling

How Knowledge Graph and Attention Help? A Quantitative Analysis into Bag-level Relation Extraction

A Data-Driven Approach to Full-Field Damage and Failure Pattern Prediction in Microstructure-Dependent Composites using Deep Learning

Learning Physics-guided Neural Networks with Competing Physics Loss: A Summary of Results in Solving Eigenvalue Problems

Mohannad Elhamod, Jie Bu, Christopher Singh, Matthew Redell, Abantika Ghosh, Viktor Podolskiy, Wei-Cheng Lee, Anuj Karpatne: Learning Physics-guided Neural Networks with Competing Physics Loss: A Summary of Results in Solving Eigenvalue Problems. AAAI Spring Symposium: MLPS 2021

Welcome to AI Matters 7(2)

Pose with Style: Detail-Preserving Pose-Guided Image Synthesis with Conditional StyleGAN

Hybrid Neural Fusion for Full-frame Video Stabilization

Interpolation of sparse high-dimensional data

Automated Feature-Topic Pairing: Aligning Semantic and Embedding Spaces in Spatial Representation Learning

Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks