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Optimization

1638 directly classified papers

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Papers

Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data ICML 2020
EA-CG: An Approximate Second-Order Method for Training Fully-Connected Neural Networks AAAI 2019
Truly Proximal Policy Optimization UAI 2019
One-Shot Marginal MAP Inference in Markov Random Fields UAI 2019
Are Girls Neko or Shōjo? Cross-Lingual Alignment of Non-Isomorphic Embeddings with Iterative Normalization ACL 2019
Photometric Mesh Optimization for Video-Aligned 3D Object Reconstruction CVPR 2019
Reflection Removal Using a Dual-Pixel Sensor CVPR 2019
Snapshot Distillation: Teacher-Student Optimization in One Generation CVPR 2019
Deep Rigid Instance Scene Flow CVPR 2019
Robust Video Stabilization by Optimization in CNN Weight Space CVPR 2019
Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses CVPR 2019
A General and Adaptive Robust Loss Function CVPR 2019
Learning to Quantize Deep Networks by Optimizing Quantization Intervals With Task Loss CVPR 2019
Parallel Optimal Transport GAN CVPR 2019
Taking a Deeper Look at the Inverse Compositional Algorithm CVPR 2019
Hyperspectral Image Reconstruction Using a Deep Spatial-Spectral Prior CVPR 2019
MAGSAC: Marginalizing Sample Consensus CVPR 2019
Douglas-Rachford Networks: Learning Both the Image Prior and Data Fidelity Terms for Blind Image Deconvolution CVPR 2019
A Theoretically Sound Upper Bound on the Triplet Loss for Improving the Efficiency of Deep Distance Metric Learning CVPR 2019
Max-Sliced Wasserstein Distance and Its Use for GANs CVPR 2019
Self-Supervised 3D Hand Pose Estimation Through Training by Fitting CVPR 2019
A Sufficient Condition for Convergences of Adam and RMSProp CVPR 2019
ECC: Platform-Independent Energy-Constrained Deep Neural Network Compression via a Bilinear Regression Model CVPR 2019
On Stabilizing Generative Adversarial Training With Noise CVPR 2019
Large-Scale Distributed Second-Order Optimization Using Kronecker-Factored Approximate Curvature for Deep Convolutional Neural Networks CVPR 2019