Techniques

AARM: Action Attention Recalibration Module for Action Recognition ACML 2020 A Baseline for Few-Shot Image Classification ICLR 2020 A Batch Normalized Inference Network Keeps the KL Vanishing Away ACL 2020 Ablation-CAM: Visual Explanations for Deep Convolutional Network via Gradient-free Localization WACV 2020 Accelerating Natural Language Understanding in Task-Oriented Dialog ACL 2020 Accelerating Training of Transformer-Based Language Models with Progressive Layer Dropping NeurIPS 2020 Accurate Word Alignment Induction from Neural Machine Translation EMNLP 2020 ACNe: Attentive Context Normalization for Robust Permutation-Equivariant Learning CVPR 2020 A Coarse-to-Fine Adaptive Network for Appearance-Based Gaze Estimation AAAI 2020 Acoustic Scene Classification Using Audio Tagging Interspeech 2020 A Cross-Stitch Architecture for Joint Registration and Segmentation in Adaptive Radiotherapy MIDL 2020 Action Modifiers: Learning From Adverbs in Instructional Videos CVPR 2020 Actor Conditioned Attention Maps for Video Action Detection WACV 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 AdapterHub: A Framework for Adapting Transformers EMNLP 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 Graph Convolutional Network With Attention Graph Clustering for Co-Saliency Detection CVPR 2020 Adaptive Loss-Aware Quantization for Multi-Bit Networks CVPR 2020 Adaptive Transformers for Learning Multimodal Representations ACL 2020 AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning NeurIPS 2020 AdaTune: Adaptive Tensor Program Compilation Made Efficient NeurIPS 2020