neural network architecture

Scaling Local Self-Attention for Parameter Efficient Visual Backbones CVPR 2021 Score-Based Point Cloud Denoising ICCV 2021 Sketch based Memory for Neural Networks AISTATS 2021 Sparse linear networks with a fixed butterfly structure: theory and practice UAI 2021 Speech Separation Using an Asynchronous Fully Recurrent Convolutional Neural Network NeurIPS 2021 Topological Machine Learning Methods for Power System Responses to Contingencies AAAI 2021 Towards Deeper Deep Reinforcement Learning with Spectral Normalization NeurIPS 2021 Towards Extracting Graph Neural Network Models via Prediction Queries (Student Abstract) AAAI 2021 Unsupervised Depth Completion With Calibrated Backprojection Layers ICCV 2021 UV-Net: Learning From Boundary Representations CVPR 2021 Adaptive Activation Network and Functional Regularization for Efficient and Flexible Deep Multi-Task Learning AAAI 2020 AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning NeurIPS 2020 A Diagnostic Study of Explainability Techniques for Text Classification EMNLP 2020 Computing the Testing Error Without a Testing Set CVPR 2020 Conquering the CNN Over-Parameterization Dilemma: A Volterra Filtering Approach for Action Recognition AAAI 2020 CvxNet: Learnable Convex Decomposition CVPR 2020 Dataless Model Selection With the Deep Frame Potential CVPR 2020 Deep Adaptive Wavelet Network WACV 2020 Deep Archimedean Copulas NeurIPS 2020 Dialogue over Context and Structured Knowledge using a Neural Network Model with External Memories AACL 2020 DIANet: Dense-and-Implicit Attention Network AAAI 2020 Differential Equation Units: Learning Functional Forms of Activation Functions from Data AAAI 2020 Disentangling neural mechanisms for perceptual grouping ICLR 2020 EfficientDet: Scalable and Efficient Object Detection CVPR 2020 EXI-Net: EXplicitly/Implicitly Conditioned Network for Multiple Environment Sim-to-Real Transfer CoRL 2020