Optimization

Towards Efficient Tensor Decomposition-Based DNN Model Compression With Optimization Framework CVPR 2021 Towards Stable and Robust AdderNets NeurIPS 2021 Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds NeurIPS 2021 Training Generative Adversarial Networks in One Stage CVPR 2021 Training Networks in Null Space of Feature Covariance for Continual Learning CVPR 2021 Training Over-parameterized Models with Non-decomposable Objectives NeurIPS 2021 Training Quantized Neural Networks to Global Optimality via Semidefinite Programming ICML 2021 Unchain the Search Space with Hierarchical Differentiable Architecture Search AAAI 2021 Understanding Decoupled and Early Weight Decay AAAI 2021 Understanding How Over-Parametrization Leads to Acceleration: A case of learning a single teacher neuron ACML 2021 Vis2Mesh: Efficient Mesh Reconstruction From Unstructured Point Clouds of Large Scenes With Learned Virtual View Visibility ICCV 2021 When Does Gradient Descent with Logistic Loss Find Interpolating Two-Layer Networks? JMLR 2021 Why resampling outperforms reweighting for correcting sampling bias with stochastic gradients ICLR 2021 You Only Look One-Level Feature CVPR 2021 Zen-NAS: A Zero-Shot NAS for High-Performance Image Recognition ICCV 2021 A Batch Normalized Inference Network Keeps the KL Vanishing Away ACL 2020 Accelerating Stratified Sampling SGD by Reconstructing Strata IJCAI 2020 AdaTune: Adaptive Tensor Program Compilation Made Efficient NeurIPS 2020 A Generalized Framework for Edge-Preserving and Structure-Preserving Image Smoothing AAAI 2020 A General System of Differential Equations to Model First-Order Adaptive Algorithms JMLR 2020 A Graduated Filter Method for Large Scale Robust Estimation CVPR 2020 A Greedy Bit-flip Training Algorithm for Binarized Knowledge Graph Embeddings EMNLP 2020 A Multigrid Method for Efficiently Training Video Models CVPR 2020 An ADMM Based Framework for AutoML Pipeline Configuration AAAI 2020 An Effective Hard Thresholding Method Based on Stochastic Variance Reduction for Nonconvex Sparse Learning AAAI 2020