Optimization & Theory

Adaptive Attention Span in Transformers ACL 2019 Adaptive Ensemble Prediction for Deep Neural Networks based on Confidence Level AISTATS 2019 Adaptive Gradient Methods with Dynamic Bound of Learning Rate ICLR 2019 Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture Search ICML 2019 Adaptivity and Optimality: A Universal Algorithm for Online Convex Optimization UAI 2019 AdaShift: Decorrelation and Convergence of Adaptive Learning Rate Methods ICLR 2019 A Dual Approach to Verify and Train Deep Networks IJCAI 2019 Adversarial Examples Are a Natural Consequence of Test Error in Noise ICML 2019 A Fast Sampling Algorithm for Maximum Inner Product Search AISTATS 2019 A First-Order Algorithmic Framework for Distributionally Robust Logistic Regression NeurIPS 2019 A Flexible Convolutional Solver for Fast Style Transfers CVPR 2019 A General and Adaptive Robust Loss Function CVPR 2019 A Generic Acceleration Framework for Stochastic Composite Optimization NeurIPS 2019 Aggregated Momentum: Stability Through Passive Damping ICLR 2019 A Graph Theoretic Framework of Recomputation Algorithms for Memory-Efficient Backpropagation NeurIPS 2019 A Lightweight Recurrent Network for Sequence Modeling ACL 2019 All You Need Is a Few Shifts: Designing Efficient Convolutional Neural Networks for Image Classification CVPR 2019 A Logic-Driven Framework for Consistency of Neural Models EMNLP 2019 A Margin-based Loss with Synthetic Negative Samples for Continuous-output Machine Translation EMNLP 2019 A Mean Field Theory of Quantized Deep Networks: The Quantization-Depth Trade-Off NeurIPS 2019 A Meta-Learning Approach for Custom Model Training AAAI 2019 An Adaptive Empirical Bayesian Method for Sparse Deep Learning NeurIPS 2019 Analyzing Compositionality-Sensitivity of NLI Models AAAI 2019 Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned ACL 2019 An Efficient Compressive Convolutional Network for Unified Object Detection and Image Compression AAAI 2019