Optimization & Theory

Relating RNN Layers with the Spectral WFA Ranks in Sequence Modelling ACL 2019 RENAS: Reinforced Evolutionary Neural Architecture Search CVPR 2019 REO-Relevance, Extraness, Omission: A Fine-grained Evaluation for Image Captioning EMNLP 2019 Representation Degeneration Problem in Training Natural Language Generation Models ICLR 2019 RePr: Improved Training of Convolutional Filters CVPR 2019 ResNet and Batch-normalization Improve Data Separability ACML 2019 Rethinking Cooperative Rationalization: Introspective Extraction and Complement Control EMNLP 2019 Rethinking the Evaluation of Video Summaries CVPR 2019 Revealing the Dark Secrets of BERT EMNLP 2019 Reversible GANs for Memory-Efficient Image-To-Image Translation CVPR 2019 Revisit Batch Normalization: New Understanding and Refinement via Composition Optimization AISTATS 2019 Revisiting Perspective Information for Efficient Crowd Counting CVPR 2019 Riemannian Adaptive Optimization Methods ICLR 2019 Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference ACL 2019 RNN Architecture Learning with Sparse Regularization EMNLP 2019 Robust Attribution Regularization NeurIPS 2019 Robustness Verification of Classification Deep Neural Networks via Linear Programming CVPR 2019 Robustness via Curvature Regularization, and Vice Versa CVPR 2019 Robust Text Classifier on Test-Time Budgets EMNLP 2019 Robust Video Stabilization by Optimization in CNN Weight Space CVPR 2019 RSN: Randomized Subspace Newton NeurIPS 2019 Sampled Softmax with Random Fourier Features NeurIPS 2019 Scalable and Efficient Pairwise Learning to Achieve Statistical Accuracy AAAI 2019 Scalable Distributed DL Training: Batching Communication and Computation AAAI 2019 Searching for a Robust Neural Architecture in Four GPU Hours CVPR 2019