Deep Learning

Robust and Interpretable Grounding of Spatial References with Relation Networks EMNLP 2020 Robust Backed-off Estimation of Out-of-Vocabulary Embeddings EMNLP 2020 Robust compressed sensing using generative models NeurIPS 2020 Robust Data Programming with Precision-guided Labeling Functions AAAI 2020 Robust Deep Learning as Optimal Control: Insights and Convergence Guarantees L4DC 2020 Robust Deep Ordinal Regression under Label Noise ACML 2020 Robust Design of Deep Neural Networks Against Adversarial Attacks Based on Lyapunov Theory CVPR 2020 Robust Disentanglement of a Few Factors at a Time using rPU-VAE NeurIPS 2020 Robust estimation of local affine maps and its applications to image matching WACV 2020 Robust Facial Landmark Detection via Aggregation on Geometrically Manipulated Faces WACV 2020 Robust Graph Representation Learning via Neural Sparsification ICML 2020 Robust Learning Through Cross-Task Consistency CVPR 2020 Robust Low-Rank Discovery of Data-Driven Partial Differential Equations AAAI 2020 Robust modal regression with direct gradient approximation of modal regression risk UAI 2020 Robust Multi-View Representation Learning (Student Abstract) AAAI 2020 Robust Named Entity Recognition with Truecasing Pretraining AAAI 2020 Robustness Analysis of Non-Convex Stochastic Gradient Descent using Biased Expectations NeurIPS 2020 Robustness Certificates for Sparse Adversarial Attacks by Randomized Ablation AAAI 2020 Robustness Guarantees for Deep Neural Networks on Videos CVPR 2020 Robustness of Autoencoders for Anomaly Detection Under Adversarial Impact IJCAI 2020 Robustness of Bayesian Neural Networks to Gradient-Based Attacks NeurIPS 2020 Robustness to Modification with Shared Words in Paraphrase Identification EMNLP 2020 Robustness to Programmable String Transformations via Augmented Abstract Training ICML 2020 Robustness Verification for Transformers ICLR 2020 Robust Neural Machine Translation with ASR Errors ACL 2020