model architecture

Any-Precision Deep Neural Networks AAAI 2021 A Practical Method for Constructing Equivariant Multilayer Perceptrons for Arbitrary Matrix Groups ICML 2021 Are Pretrained Convolutions Better than Pretrained Transformers? ACL 2021 Augmented Shortcuts for Vision Transformers NeurIPS 2021 Capsule Network Is Not More Robust Than Convolutional Network CVPR 2021 CATE: Computation-aware Neural Architecture Encoding with Transformers ICML 2021 Catformer: Designing Stable Transformers via Sensitivity Analysis ICML 2021 CondenseNet V2: Sparse Feature Reactivation for Deep Networks CVPR 2021 Convolutions and Self-Attention: Re-interpreting Relative Positions in Pre-trained Language Models ACL 2021 CvT: Introducing Convolutions to Vision Transformers ICCV 2021 Deformable Butterfly: A Highly Structured and Sparse Linear Transform NeurIPS 2021 Differentiable Dynamic Wirings for Neural Networks ICCV 2021 Discovering Better Model Architectures for Medical Query Understanding NAACL 2021 Diverse Branch Block: Building a Convolution as an Inception-Like Unit CVPR 2021 Dynamic Resolution Network NeurIPS 2021 Early Convolutions Help Transformers See Better NeurIPS 2021 Explaining heterogeneity in medial entorhinal cortex with task-driven neural networks NeurIPS 2021 Exploring the loss landscape in neural architecture search UAI 2021 FBNetV3: Joint Architecture-Recipe Search Using Predictor Pretraining CVPR 2021 FlexAE: flexibly learning latent priors for wasserstein auto-encoders UAI 2021 General Nonlinearities in SO(2)-Equivariant CNNs NeurIPS 2021 GLiT: Neural Architecture Search for Global and Local Image Transformer ICCV 2021 HEMET: A Homomorphic-Encryption-Friendly Privacy-Preserving Mobile Neural Network Architecture ICML 2021 HourNAS: Extremely Fast Neural Architecture Search Through an Hourglass Lens CVPR 2021 Improved Training of Generative Adversarial Networks Using Decision Forests WACV 2021