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Optimization

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Papers

Maximizing the Spread of an Opinion in Few Steps: Opinion Diffusion in Non-Binary Networks IJCAI 2020 Maximum Margin Multi-Dimensional Classification AAAI 2020 Max-Margin Incremental CCG Parsing ACL 2020 Measuring and Relieving the Over-Smoothing Problem for Graph Neural Networks from the Topological View AAAI 2020 Mechanism Design with Predicted Task Revenue for Bike Sharing Systems AAAI 2020 Median Matrix Completion: from Embarrassment to Optimality ICML 2020 MemNAS: Memory-Efficient Neural Architecture Search With Grow-Trim Learning CVPR 2020 Memory-Efficient Hierarchical Neural Architecture Search for Image Denoising CVPR 2020 Memory-Efficient Learning of Stable Linear Dynamical Systems for Prediction and Control NeurIPS 2020 MergeNAS: Merge Operations into One for Differentiable Architecture Search IJCAI 2020 MetaFun: Meta-Learning with Iterative Functional Updates ICML 2020 Meta-Learning with Adaptive Hyperparameters NeurIPS 2020 MiLeNAS: Efficient Neural Architecture Search via Mixed-Level Reformulation CVPR 2020 Minibatch Stochastic Approximate Proximal Point Methods NeurIPS 2020 Minibatch vs Local SGD for Heterogeneous Distributed Learning NeurIPS 2020 Minimally distorted Adversarial Examples with a Fast Adaptive Boundary Attack ICML 2020 Minimal Solutions for Relative Pose With a Single Affine Correspondence CVPR 2020 Minimax Classification with 0-1 Loss and Performance Guarantees NeurIPS 2020 Minimax Dynamics of Optimally Balanced Spiking Networks of Excitatory and Inhibitory Neurons NeurIPS 2020 Minimax Estimation of Conditional Moment Models NeurIPS 2020 Minimax Pareto Fairness: A Multi Objective Perspective ICML 2020 Minimax Value Interval for Off-Policy Evaluation and Policy Optimization NeurIPS 2020 Minimizing Discrete Total Curvature for Image Processing CVPR 2020 Minimizing FLOPs to Learn Efficient Sparse Representations ICLR 2020 Minimizing the Bag-of-Ngrams Difference for Non-Autoregressive Neural Machine Translation AAAI 2020