bilevel optimization

Boosting Weakly Supervised Object Detection via Learning Bounding Box Adjusters ICCV 2021 Closing the Gap: Tighter Analysis of Alternating Stochastic Gradient Methods for Bilevel Problems NeurIPS 2021 Combining Physics and Machine Learning for Network Flow Estimation ICLR 2021 Convergence Properties of Stochastic Hypergradients AISTATS 2021 Debiasing a First-order Heuristic for Approximate Bi-level Optimization ICML 2021 ELLIPSDF: Joint Object Pose and Shape Optimization With a Bi-Level Ellipsoid and Signed Distance Function Description ICCV 2021 FairBatch: Batch Selection for Model Fairness ICLR 2021 Fast Algorithms for Stackelberg Prediction Game with Least Squares Loss ICML 2021 Generalization Guarantees for Neural Architecture Search with Train-Validation Split ICML 2021 GLISTER: Generalization based Data Subset Selection for Efficient and Robust Learning AAAI 2021 Graph Contrastive Learning Automated ICML 2021 Harmonized Dense Knowledge Distillation Training for Multi-Exit Architectures AAAI 2021 How Robust Are Randomized Smoothing Based Defenses to Data Poisoning? CVPR 2021 Implicit Task-Driven Probability Discrepancy Measure for Unsupervised Domain Adaptation NeurIPS 2021 Improved Penalty Method via Doubly Stochastic Gradients for Bilevel Hyperparameter Optimization AAAI 2021 Learning Data Augmentation With Online Bilevel Optimization for Image Classification WACV 2021 Learning to Defend by Learning to Attack AISTATS 2021 Learning to Learn Semantic Factors in Heterogeneous Image Classification NAACL 2021 LeeBERT: Learned Early Exit for BERT with cross-level optimization ACL 2021 Meta Label Correction for Noisy Label Learning AAAI 2021 Multi-Objective Meta Learning NeurIPS 2021 NAS-Bench-ASR: Reproducible Neural Architecture Search for Speech Recognition ICLR 2021 Neural Architecture Search as Sparse Supernet AAAI 2021 Neural Tangent Generalization Attacks ICML 2021 On lp-hyperparameter Learning via Bilevel Nonsmooth Optimization JMLR 2021