Model Architecture

Associative Convolutional Layers AISTATS 2021 Asynchronous Optimization Methods for Efficient Training of Deep Neural Networks with Guarantees AAAI 2021 Asynchronous Stochastic Gradient Descent for Extreme-Scale Recommender Systems AAAI 2021 Attending Self-Attention: A Case Study of Visually Grounded Supervision in Vision-and-Language Transformers ACL 2021 Attend What You Need: Motion-Appearance Synergistic Networks for Video Question Answering ACL 2021 Attentional Feature Fusion WACV 2021 Attention Bottlenecks for Multimodal Fusion NeurIPS 2021 AttentionRank: Unsupervised Keyphrase Extraction using Self and Cross Attentions EMNLP 2021 Attention via Scattering Transforms for Segmentation of Small Intravascular Ultrasound Data Sets MIDL 2021 AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling CVPR 2021 Augmented Shortcuts for Vision Transformers NeurIPS 2021 A Unified Framework for Compressive Video Recovery From Coded Exposure Techniques WACV 2021 A unified framework for Hamiltonian deep neural networks L4DC 2021 AutoAttend: Automated Attention Representation Search ICML 2021 Autobahn: Automorphism-based Graph Neural Nets NeurIPS 2021 AutoDropout: Learning Dropout Patterns to Regularize Deep Networks AAAI 2021 Auto-Exposure Fusion for Single-Image Shadow Removal CVPR 2021 AutoFormer: Searching Transformers for Visual Recognition ICCV 2021 Automated Log-Scale Quantization for Low-Cost Deep Neural Networks CVPR 2021 Automated Model Design and Benchmarking of Deep Learning Models for COVID-19 Detection with Chest CT Scans AAAI 2021 Automated Symbolic Law Discovery: A Computer Vision Approach AAAI 2021 Automatic Quantification of Plant Disease From Field Image Data Using Deep Learning WACV 2021 Auto-NBA: Efficient and Effective Search Over the Joint Space of Networks, Bitwidths, and Accelerators ICML 2021 AutoRC: Improving BERT Based Relation Classification Models via Architecture Search ACL 2021 A Vector-Based Representation to Enhance Head Pose Estimation WACV 2021