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Optimization & Theory

7,804 papers (27 classified directly here)

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Papers (including subtopics)

Neural Architecture Search Using Deep Neural Networks and Monte Carlo Tree Search AAAI 2020 Neural Complexity Measures NeurIPS 2020 Neural Contextual Bandits with UCB-based Exploration ICML 2020 Neural Inheritance Relation Guided One-Shot Layer Assignment Search AAAI 2020 Neural Network Branching for Neural Network Verification ICLR 2020 Neural Networks are Convex Regularizers: Exact Polynomial-time Convex Optimization Formulations for Two-layer Networks ICML 2020 Neural Networks Learning and Memorization with (almost) no Over-Parameterization NeurIPS 2020 Neural Path Features and Neural Path Kernel : Understanding the role of gates in deep learning NeurIPS 2020 NeuralScale: Efficient Scaling of Neurons for Resource-Constrained Deep Neural Networks CVPR 2020 Neuromorphic Camera Guided High Dynamic Range Imaging CVPR 2020 Neuron Shapley: Discovering the Responsible Neurons NeurIPS 2020 New Interpretations of Normalization Methods in Deep Learning AAAI 2020 Nimble: Lightweight and Parallel GPU Task Scheduling for Deep Learning NeurIPS 2020 Nonasymptotic Guarantees for Spiked Matrix Recovery with Generative Priors NeurIPS 2020 Non-Euclidean Universal Approximation NeurIPS 2020 Normalized Flat Minima: Exploring Scale Invariant Definition of Flat Minima for Neural Networks Using PAC-Bayesian Analysis ICML 2020 Norm-Based Curriculum Learning for Neural Machine Translation ACL 2020 Norm-Explicit Quantization: Improving Vector Quantization for Maximum Inner Product Search AAAI 2020 Obtaining Faithful Interpretations from Compositional Neural Networks ACL 2020 Once-for-All Adversarial Training: In-Situ Tradeoff between Robustness and Accuracy for Free NeurIPS 2020 O(n) Connections are Expressive Enough: Universal Approximability of Sparse Transformers NeurIPS 2020 On Correctness of Automatic Differentiation for Non-Differentiable Functions NeurIPS 2020 On Infinite-Width Hypernetworks NeurIPS 2020 Online Knowledge Distillation via Collaborative Learning CVPR 2020 On the Ability and Limitations of Transformers to Recognize Formal Languages EMNLP 2020