Optimization

Convergence Rates of a Momentum Algorithm with Bounded Adaptive Step Size for Nonconvex Optimization ACML 2020 Coresets via Bilevel Optimization for Continual Learning and Streaming NeurIPS 2020 Curvature-corrected learning dynamics in deep neural networks ICML 2020 Deep Conservative Policy Iteration AAAI 2020 DeepEMD: Few-Shot Image Classification With Differentiable Earth Mover's Distance and Structured Classifiers CVPR 2020 Deep-n-Cheap: An Automated Search Framework for Low Complexity Deep Learning ACML 2020 Deep Unfolding Network for Image Super-Resolution CVPR 2020 DeltaGrad: Rapid retraining of machine learning models ICML 2020 Discrete Model Compression With Resource Constraint for Deep Neural Networks CVPR 2020 Distributed Stochastic Gradient Descent with Event-Triggered Communication AAAI 2020 DNU: Deep Non-Local Unrolling for Computational Spectral Imaging CVPR 2020 Do We Need Zero Training Loss After Achieving Zero Training Error? ICML 2020 DWM: A Decomposable Winograd Method for Convolution Acceleration AAAI 2020 Effective Estimation of Deep Generative Language Models ACL 2020 Efficient Algorithms for Device Placement of DNN Graph Operators NeurIPS 2020 Efficient Low Rank Gaussian Variational Inference for Neural Networks NeurIPS 2020 Efficient Minimum Word Error Rate Training of RNN-Transducer for End-to-End Speech Recognition Interspeech 2020 Efficient Projection-free Algorithms for Saddle Point Problems NeurIPS 2020 Efficient Second-Order TreeCRF for Neural Dependency Parsing ACL 2020 Eliminating the Invariance on the Loss Landscape of Linear Autoencoders ICML 2020 Encoding Physical Constraints in Differentiable Newton-Euler Algorithm L4DC 2020 End-to-End Learnable Geometric Vision by Backpropagating PnP Optimization CVPR 2020 Enhanced Transport Distance for Unsupervised Domain Adaptation CVPR 2020 Error Estimation for Sketched SVD via the Bootstrap ICML 2020 Extreme Tensoring for Low-Memory Preconditioning ICLR 2020