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Optimization

14,983 papers

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Papers

AUC Optimization with a Reject Option AAAI 2020
Stable Learning via Sample Reweighting AAAI 2020
Fractional Skipping: Towards Finer-Grained Dynamic CNN Inference AAAI 2020
Quadruply Stochastic Gradient Method for Large Scale Nonlinear Semi-Supervised Ordinal Regression AUC Optimization AAAI 2020
HLHLp: Quantized Neural Networks Training for Reaching Flat Minima in Loss Surface AAAI 2020
Building Calibrated Deep Models via Uncertainty Matching with Auxiliary Interval Predictors AAAI 2020
Compact Autoregressive Network AAAI 2020
Adapting to Smoothness: A More Universal Algorithm for Online Convex Optimization AAAI 2020
Reinforcement Learning with Perturbed Rewards AAAI 2020
Differentially Private Learning with Small Public Data AAAI 2020
Transductive Ensemble Learning for Neural Machine Translation AAAI 2020
An Objective for Hierarchical Clustering in Euclidean Space and Its Connection to Bisecting K-means AAAI 2020
Learning Feature Interactions with Lorentzian Factorization Machine AAAI 2020
Harmonious Coexistence of Structured Weight Pruning and Ternarization for Deep Neural Networks AAAI 2020
Dynamical System Inspired Adaptive Time Stepping Controller for Residual Network Families AAAI 2020
Efficient Neural Architecture Search via Proximal Iterations AAAI 2020
Divide-and-Conquer Learning with Nyström: Optimal Rate and Algorithm AAAI 2020
Aggregated Gradient Langevin Dynamics AAAI 2020
CD-UAP: Class Discriminative Universal Adversarial Perturbation AAAI 2020
Policy Search by Target Distribution Learning for Continuous Control AAAI 2020
Local Regularizer Improves Generalization AAAI 2020
Bridging Maximum Likelihood and Adversarial Learning via α-Divergence AAAI 2020
Towards Query-Efficient Black-Box Adversary with Zeroth-Order Natural Gradient Descent AAAI 2020
HS-CAI: A Hybrid DCOP Algorithm via Combining Search with Context-Based Inference AAAI 2020
Distributed Stochastic Gradient Descent with Event-Triggered Communication AAAI 2020