model architecture

The Tree Ensemble Layer: Differentiability meets Conditional Computation ICML 2020 Vector-Vector-Matrix Architecture: A Novel Hardware-Aware Framework for Low-Latency Inference in NLP Applications EMNLP 2020 What It Thinks Is Important Is Important: Robustness Transfers Through Input Gradients CVPR 2020 What shapes feature representations? Exploring datasets, architectures, and training NeurIPS 2020 Wide Hidden Expansion Layer for Deep Convolutional Neural Networks WACV 2020 You CAN Teach an Old Dog New Tricks! On Training Knowledge Graph Embeddings ICLR 2020 ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks ICCV 2019 Adaptive Neural Trees ICML 2019 All You Need Is a Few Shifts: Designing Efficient Convolutional Neural Networks for Image Classification CVPR 2019 AOGNets: Compositional Grammatical Architectures for Deep Learning CVPR 2019 Auto-ReID: Searching for a Part-Aware ConvNet for Person Re-Identification ICCV 2019 Building Efficient Deep Neural Networks With Unitary Group Convolutions CVPR 2019 CondConv: Conditionally Parameterized Convolutions for Efficient Inference NeurIPS 2019 Differentiable Learning-to-Normalize via Switchable Normalization ICLR 2019 Discovering Neural Wirings NeurIPS 2019 Do Better ImageNet Models Transfer Better? CVPR 2019 HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs CVPR 2019 Neural Persistence: A Complexity Measure for Deep Neural Networks Using Algebraic Topology ICLR 2019 NeuronBlocks: Building Your NLP DNN Models Like Playing Lego EMNLP 2019 Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks ICLR 2019 Propagation Mechanism for Deep and Wide Neural Networks CVPR 2019 Rethinking Complex Neural Network Architectures for Document Classification NAACL 2019 SNR: Sub-Network Routing for Flexible Parameter Sharing in Multi-Task Learning AAAI 2019 Structure Learning for Neural Module Networks EMNLP 2019 T-Net: Parametrizing Fully Convolutional Nets With a Single High-Order Tensor CVPR 2019