Deep Learning

Convex Programming for Estimation in Nonlinear Recurrent Models JMLR 2020 Conv-MPN: Convolutional Message Passing Neural Network for Structured Outdoor Architecture Reconstruction CVPR 2020 Convolutional Conditional Neural Processes ICLR 2020 Convolutional dictionary learning based auto-encoders for natural exponential-family distributions ICML 2020 Convolutional Generation of Textured 3D Meshes NeurIPS 2020 Convolutional Hierarchical Attention Network for Query-Focused Video Summarization AAAI 2020 Convolutional Kernel Networks for Graph-Structured Data ICML 2020 Convolutional Neural Networks with Compression Complexity Pooling for Out-of-Distribution Image Detection IJCAI 2020 Convolutional Tensor-Train LSTM for Spatio-Temporal Learning NeurIPS 2020 Convolution in the Cloud: Learning Deformable Kernels in 3D Graph Convolution Networks for Point Cloud Analysis CVPR 2020 Conv-TasSAN: Separative Adversarial Network Based on Conv-TasNet Interspeech 2020 Conv-Transformer Transducer: Low Latency, Low Frame Rate, Streamable End-to-End Speech Recognition Interspeech 2020 Co-Occurrence Estimation from Aggregated Data with Auxiliary Information AAAI 2020 CookGAN: Causality Based Text-to-Image Synthesis CVPR 2020 CookGAN: Meal Image Synthesis from Ingredients WACV 2020 Cooperative Initialization based Deep Neural Network Training WACV 2020 COOT: Cooperative Hierarchical Transformer for Video-Text Representation Learning NeurIPS 2020 CoPhy: Counterfactual Learning of Physical Dynamics ICLR 2020 Coping With Simulators That Don’t Always Return AISTATS 2020 Cops-Ref: A New Dataset and Task on Compositional Referring Expression Comprehension CVPR 2020 Copy and Paste GAN: Face Hallucination From Shaded Thumbnails CVPR 2020 CopyBERT: A Unified Approach to Question Generation with Self-Attention ACL 2020 CopyNext: Explicit Span Copying and Alignment in Sequence to Sequence Models EMNLP 2020 Copy or Rewrite: Hybrid Summarization with Hierarchical Reinforcement Learning AAAI 2020 Coresets for Estimating Means and Mean Square Error with Limited Greedy Samples UAI 2020