gradient-based optimization

TextHoaxer: Budgeted Hard-Label Adversarial Attacks on Text AAAI 2022 The Importance of Being Parameters: An Intra-Distillation Method for Serious Gains EMNLP 2022 Two-layer neural network on infinite dimensional data: global optimization guarantee in the mean-field regime NeurIPS 2022 Unifying and Boosting Gradient-Based Training-Free Neural Architecture Search NeurIPS 2022 Vision Transformers provably learn spatial structure NeurIPS 2022 When AUC meets DRO: Optimizing Partial AUC for Deep Learning with Non-Convex Convergence Guarantee ICML 2022 4D Cloud Scattering Tomography ICCV 2021 AdvantageNAS: Efficient Neural Architecture Search with Credit Assignment AAAI 2021 A Lazy Approach to Long-Horizon Gradient-Based Meta-Learning ICCV 2021 Cross-Lingual Transfer with MAML on Trees EACL 2021 Differentiable Spline Approximations NeurIPS 2021 Distance-Aware Quantization ICCV 2021 DOTS: Decoupling Operation and Topology in Differentiable Architecture Search CVPR 2021 Efficient Differentiable Simulation of Articulated Bodies ICML 2021 EvoGrad: Efficient Gradient-Based Meta-Learning and Hyperparameter Optimization NeurIPS 2021 Gradient-based Adversarial Attacks against Text Transformers EMNLP 2021 Gradient-based optimization for multi-resource spatial coverage problems UAI 2021 GradTS: A Gradient-Based Automatic Auxiliary Task Selection Method Based on Transformer Networks EMNLP 2021 It’s Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners NAACL 2021 Meta Navigator: Search for a Good Adaptation Policy for Few-Shot Learning ICCV 2021 Multi-Objective Meta Learning NeurIPS 2021 Online Continual Learning With Natural Distribution Shifts: An Empirical Study With Visual Data ICCV 2021 Parameter Inference with Bifurcation Diagrams NeurIPS 2021 Pareto Domain Adaptation NeurIPS 2021 PiRank: Scalable Learning To Rank via Differentiable Sorting NeurIPS 2021