Models

Through Fog High-Resolution Imaging Using Millimeter Wave Radar CVPR 2020 TOD-BERT: Pre-trained Natural Language Understanding for Task-Oriented Dialogue EMNLP 2020 Topic Enhanced Controllable CVAE for Dialogue Generation (Student Abstract) AAAI 2020 Topic-relevant Response Generation using Optimal Transport for an Open-domain Dialog System COLING 2020 Top-k Training of GANs: Improving GAN Performance by Throwing Away Bad Samples NeurIPS 2020 To Pretrain or Not to Pretrain: Examining the Benefits of Pretrainng on Resource Rich Tasks ACL 2020 To Relieve Your Headache of Training an MRF, Take AdVIL ICLR 2020 Toward a neuro-inspired creative decoder IJCAI 2020 Toward Better Storylines with Sentence-Level Language Models ACL 2020 Toward Micro-Dialect Identification in Diaglossic and Code-Switched Environments EMNLP 2020 Towards Accurate Post-training Network Quantization via Bit-Split and Stitching ICML 2020 Towards Adversarially Robust Knowledge Graph Embeddings AAAI 2020 Towards Better Understanding of Adaptive Gradient Algorithms in Generative Adversarial Nets ICLR 2020 Towards Consistent Variational Auto-Encoding (Student Abstract) AAAI 2020 Towards End-to-End In-Image Neural Machine Translation EMNLP 2020 Towards Ghost-Free Shadow Removal via Dual Hierarchical Aggregation Network and Shadow Matting GAN AAAI 2020 Towards Making the Most of BERT in Neural Machine Translation AAAI 2020 Towards multi-sequence MR image recovery from undersampled k-space data MIDL 2020 Towards Photographic Image Manipulation with Balanced Growing of Generative Autoencoders WACV 2020 Towards Photo-Realistic Virtual Try-On by Adaptively Generating-Preserving Image Content CVPR 2020 Towards Unsupervised Learning of Generative Models for 3D Controllable Image Synthesis CVPR 2020 Towards Visually Explaining Variational Autoencoders CVPR 2020 Training Deep Energy-Based Models with f-Divergence Minimization ICML 2020 Training Generative Adversarial Networks by Solving Ordinary Differential Equations NeurIPS 2020 Training Generative Adversarial Networks from Incomplete Observations using Factorised Discriminators ICLR 2020