Neural Networks

Conformal Time-series Forecasting NeurIPS 2021 Conformation-Guided Molecular Representation with Hamiltonian Neural Networks ICLR 2021 Conformer: Local Features Coupling Global Representations for Visual Recognition ICCV 2021 Connecting Sphere Manifolds Hierarchically for Regularization ICML 2021 Consistency-Sensitivity Guided Ensemble Black-Box Adversarial Attacks in Low-Dimensional Spaces ICCV 2021 Contact-Aware Retargeting of Skinned Motion ICCV 2021 ContactOpt: Optimizing Contact To Improve Grasps CVPR 2021 Container: Context Aggregation Networks NeurIPS 2021 Contemplating Real-World Object Classification ICLR 2021 Contemporary NLP Modeling in Six Comprehensive Programming Assignments NAACL 2021 Context-aware Cross-level Fusion Network for Camouflaged Object Detection IJCAI 2021 Context Reasoning Attention Network for Image Super-Resolution ICCV 2021 Continual learning in recurrent neural networks ICLR 2021 Continuous Geodesic Convolutions for Learning on 3D Shapes WACV 2021 Continuous then discrete: A recommendation for building robotic brains CoRL 2021 Contrastive Document Representation Learning with Graph Attention Networks EMNLP 2021 Contrastive Learning of Image Representations With Cross-Video Cycle-Consistency ICCV 2021 Convex Geometry and Duality of Over-parameterized Neural Networks JMLR 2021 Convex Regularization behind Neural Reconstruction ICLR 2021 Convolutional Dynamic Alignment Networks for Interpretable Classifications CVPR 2021 Convolutional Hough Matching Networks CVPR 2021 Convolutional Neural Networks Are Not Invariant to Translation, but They Can Learn to Be JMLR 2021 Convolutional Normalization: Improving Deep Convolutional Network Robustness and Training NeurIPS 2021 Coordinate Attention for Efficient Mobile Network Design CVPR 2021 Corrected CBOW Performs as well as Skip-gram EMNLP 2021