Deep Learning

Towards Crowdsourced Training of Large Neural Networks using Decentralized Mixture-of-Experts NeurIPS 2020 Towards data-driven stroke rehabilitation via wearable sensors and deep learning MLHC 2020 Towards Debiasing Sentence Representations ACL 2020 Towards Deeper Graph Neural Networks with Differentiable Group Normalization NeurIPS 2020 Towards Discriminability and Diversity: Batch Nuclear-Norm Maximization Under Label Insufficient Situations CVPR 2020 Towards Domain-Independent Text Structuring Trainable on Large Discourse Treebanks EMNLP 2020 Towards Efficient Model Compression via Learned Global Ranking CVPR 2020 Towards Emotion-aided Multi-modal Dialogue Act Classification ACL 2020 Towards End-to-End In-Image Neural Machine Translation EMNLP 2020 Towards Fairness in Visual Recognition: Effective Strategies for Bias Mitigation CVPR 2020 Towards Faithful Neural Table-to-Text Generation with Content-Matching Constraints ACL 2020 Towards Fine-Grained Temporal Network Representation via Time-Reinforced Random Walk AAAI 2020 Towards Fully 8-bit Integer Inference for the Transformer Model IJCAI 2020 Towards Ghost-Free Shadow Removal via Dual Hierarchical Aggregation Network and Shadow Matting GAN AAAI 2020 Towards Global Explanations of Convolutional Neural Networks With Concept Attribution CVPR 2020 Towards Good Practice for CNN-Based Monocular Depth Estimation WACV 2020 Towards Hands-Free Visual Dialog Interactive Recommendation AAAI 2020 Towards Hierarchical Importance Attribution: Explaining Compositional Semantics for Neural Sequence Models ICLR 2020 Towards High-Fidelity 3D Face Reconstruction From In-the-Wild Images Using Graph Convolutional Networks CVPR 2020 Towards Holistic and Automatic Evaluation of Open-Domain Dialogue Generation ACL 2020 Towards Interpretable Semantic Segmentation via Gradient-Weighted Class Activation Mapping (Student Abstract) AAAI 2020 Towards Interpreting BERT for Reading Comprehension Based QA EMNLP 2020 Towards Interpreting Deep Learning Models to Understand Loss of Speech Intelligibility in Speech Disorders — Step 1: CNN Model-Based Phone Classification Interspeech 2020 Towards Learning Affine-Invariant Representations via Data-Efficient CNNs WACV 2020 Towards Learning a Generic Agent for Vision-and-Language Navigation via Pre-Training CVPR 2020