Model Architecture

Visformer: The Vision-Friendly Transformer ICCV 2021 ViTAE: Vision Transformer Advanced by Exploring Intrinsic Inductive Bias NeurIPS 2021 VQ-GNN: A Universal Framework to Scale up Graph Neural Networks using Vector Quantization NeurIPS 2021 Weisfeiler and Lehman Go Topological: Message Passing Simplicial Networks ICML 2021 What’s in the Box? Exploring the Inner Life of Neural Networks with Robust Rules ICML 2021 Why Approximate Matrix Square Root Outperforms Accurate SVD in Global Covariance Pooling? ICCV 2021 Why Lottery Ticket Wins? A Theoretical Perspective of Sample Complexity on Sparse Neural Networks NeurIPS 2021 You Only Look One-Level Feature CVPR 2021 3D Shape Completion with Multi-View Consistent Inference AAAI 2020 Accelerating Natural Language Understanding in Task-Oriented Dialog ACL 2020 Accelerating Training of Transformer-Based Language Models with Progressive Layer Dropping NeurIPS 2020 Acoustic Scene Classification Using Audio Tagging Interspeech 2020 A Cross-Stitch Architecture for Joint Registration and Segmentation in Adaptive Radiotherapy MIDL 2020 AdaBits: Neural Network Quantization With Adaptive Bit-Widths CVPR 2020 AdaFilter: Adaptive Filter Fine-Tuning for Deep Transfer Learning AAAI 2020 Adam with Bandit Sampling for Deep Learning NeurIPS 2020 Adapting Grad-CAM for Embedding Networks WACV 2020 Adaptive Activation Network and Functional Regularization for Efficient and Flexible Deep Multi-Task Learning AAAI 2020 Adaptive Convolutional ReLUs AAAI 2020 Adaptive Loss-Aware Quantization for Multi-Bit Networks CVPR 2020 AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning NeurIPS 2020 AdaTune: Adaptive Tensor Program Compilation Made Efficient NeurIPS 2020 AdderNet: Do We Really Need Multiplications in Deep Learning? CVPR 2020 A Diagnostic Study of Explainability Techniques for Text Classification EMNLP 2020 Adjustable Real-time Style Transfer ICLR 2020