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Optimization & Theory

7,804 papers (27 classified directly here)

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Papers (including subtopics)

Towards Fast Computation of Certified Robustness for ReLU Networks ICML 2018 Towards Faster Training of Global Covariance Pooling Networks by Iterative Matrix Square Root Normalization CVPR 2018 Towards Provable Learning of Polynomial Neural Networks Using Low-Rank Matrix Estimation AISTATS 2018 Training Deep Models Faster with Robust, Approximate Importance Sampling NeurIPS 2018 Training Deep Neural Networks with 8-bit Floating Point Numbers NeurIPS 2018 Training DNNs with Hybrid Block Floating Point NeurIPS 2018 TRAINING GENERATIVE ADVERSARIAL NETWORKS VIA PRIMAL-DUAL SUBGRADIENT METHODS: A LAGRANGIAN PERSPECTIVE ON GAN ICLR 2018 Trust Your Model: Light Field Depth Estimation With Inline Occlusion Handling CVPR 2018 Unbiased Online Recurrent Optimization ICLR 2018 Understanding Deep Learning Performance through an Examination of Test Set Difficulty: A Psychometric Case Study EMNLP 2018 Understanding Generalization and Optimization Performance of Deep CNNs ICML 2018 Understanding Short-Horizon Bias in Stochastic Meta-Optimization ICLR 2018 Understanding the Loss Surface of Neural Networks for Binary Classification ICML 2018 Variance-Reduced Stochastic Gradient Descent on Streaming Data NeurIPS 2018 Visualizing the Loss Landscape of Neural Nets NeurIPS 2018 Weighted SGD for ℓ_p Regression with Randomized Preconditioning JMLR 2018 What Do Deep Networks Like to See? CVPR 2018 When data permutations are pathological: the case of neural natural language inference EMNLP 2018 Which Neural Net Architectures Give Rise to Exploding and Vanishing Gradients? NeurIPS 2018 Which Training Methods for GANs do actually Converge? ICML 2018 Wide Compression: Tensor Ring Nets CVPR 2018 Wing Loss for Robust Facial Landmark Localisation With Convolutional Neural Networks CVPR 2018 WSNet: Compact and Efficient Networks Through Weight Sampling ICML 2018 xUnit: Learning a Spatial Activation Function for Efficient Image Restoration CVPR 2018 Accelerated Doubly Stochastic Gradient Algorithm for Large-scale Empirical Risk Minimization IJCAI 2017