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Optimization

1638 directly classified papers

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Papers

Distribution Consistent Neural Architecture Search CVPR 2022
Image Based Reconstruction of Liquids From 2D Surface Detections CVPR 2022
Quantization-Aware Deep Optics for Diffractive Snapshot Hyperspectral Imaging CVPR 2022
A Unified Framework for Implicit Sinkhorn Differentiation CVPR 2022
A Faster Decentralized Algorithm for Nonconvex Minimax Problems NIPS 2021
Learning Generalized Intersection Over Union for Dense Pixelwise Prediction ICML 2021
Optimization of Graph Neural Networks: Implicit Acceleration by Skip Connections and More Depth ICML 2021
Positive-Negative Momentum: Manipulating Stochastic Gradient Noise to Improve Generalization ICML 2021
The Implicit Bias for Adaptive Optimization Algorithms on Homogeneous Neural Networks ICML 2021
Fast Algorithms for Stackelberg Prediction Game with Least Squares Loss ICML 2021
1-bit Adam: Communication Efficient Large-Scale Training with Adam’s Convergence Speed ICML 2021
K-shot NAS: Learnable Weight-Sharing for NAS with K-shot Supernets ICML 2021
Connecting Sphere Manifolds Hierarchically for Regularization ICML 2021
Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers ICML 2021
Low-Rank Sinkhorn Factorization ICML 2021
Tilting the playing field: Dynamical loss functions for machine learning ICML 2021
On the Predictability of Pruning Across Scales ICML 2021
Opening the Blackbox: Accelerating Neural Differential Equations by Regularizing Internal Solver Heuristics ICML 2021
On the Proof of Global Convergence of Gradient Descent for Deep ReLU Networks with Linear Widths ICML 2021
HardCoRe-NAS: Hard Constrained diffeRentiable Neural Architecture Search ICML 2021
Stability and Convergence of Stochastic Gradient Clipping: Beyond Lipschitz Continuity and Smoothness ICML 2021
Meta-Cal: Well-controlled Post-hoc Calibration by Ranking ICML 2021
How Do Adam and Training Strategies Help BNNs Optimization ICML 2021
GRAD-MATCH: Gradient Matching based Data Subset Selection for Efficient Deep Model Training ICML 2021
Marginalized Stochastic Natural Gradients for Black-Box Variational Inference ICML 2021