Deep Learning

Adapting Grad-CAM for Embedding Networks WACV 2020 Adapting Language Models for Non-Parallel Author-Stylized Rewriting AAAI 2020 Adaptive Activation Network and Functional Regularization for Efficient and Flexible Deep Multi-Task Learning AAAI 2020 Adaptive Adversarial Multi-task Representation Learning ICML 2020 Adaptive Approximation and Generalization of Deep Neural Network with Intrinsic Dimensionality JMLR 2020 Adaptive Checkpoint Adjoint Method for Gradient Estimation in Neural ODE ICML 2020 Adaptive Compression of Word Embeddings ACL 2020 Adaptive Convolutional ReLUs AAAI 2020 Adaptive Cross-Modal Embeddings for Image-Text Alignment AAAI 2020 Adaptive Dilated Network With Self-Correction Supervision for Counting CVPR 2020 Adaptive, Distribution-Free Prediction Intervals for Deep Networks AISTATS 2020 Adaptive Factorization Network: Learning Adaptive-Order Feature Interactions AAAI 2020 Adaptive Fractional Dilated Convolution Network for Image Aesthetics Assessment CVPR 2020 Adaptive Graph Convolutional Network With Attention Graph Clustering for Co-Saliency Detection CVPR 2020 Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting NeurIPS 2020 Adaptive Hierarchical Down-Sampling for Point Cloud Classification CVPR 2020 Adaptive Interaction Modeling via Graph Operations Search CVPR 2020 Adaptive Loss-Aware Quantization for Multi-Bit Networks CVPR 2020 Adaptive Neural Speech Enhancement with a Denoising Variational Autoencoder Interspeech 2020 Adaptive Quantitative Trading: An Imitative Deep Reinforcement Learning Approach AAAI 2020 Adaptive Structural Fingerprints for Graph Attention Networks ICLR 2020 Adaptive Subspaces for Few-Shot Learning CVPR 2020 Adaptive Transformers for Learning Multimodal Representations ACL 2020 AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning NeurIPS 2020 A Data-Centric Framework for Composable NLP Workflows EMNLP 2020