gradient-based optimization

CMA-ES for Post Hoc Ensembling in AutoML: A Great Success and Salvageable Failure AutoML 2023 DiFA: Differentiable Feature Acquisition AAAI 2023 Differentiable Multi-Target Causal Bayesian Experimental Design ICML 2023 DiffVL: Scaling Up Soft Body Manipulation using Vision-Language Driven Differentiable Physics NeurIPS 2023 DiSProD: Differentiable Symbolic Propagation of Distributions for Planning IJCAI 2023 Energy-Inspired Self-Supervised Pretraining for Vision Models ICLR 2023 Fast Regularized Discrete Optimal Transport with Group-Sparse Regularizers AAAI 2023 Fighting Uncertainty with Gradients: Offline Reinforcement Learning via Diffusion Score Matching CoRL 2023 Global Optimality in Bivariate Gradient-based DAG Learning NeurIPS 2023 GRAND-SLAMIN’ Interpretable Additive Modeling with Structural Constraints NeurIPS 2023 Hard Prompts Made Easy: Gradient-Based Discrete Optimization for Prompt Tuning and Discovery NeurIPS 2023 Hierarchical-Hyperplane Kernels for Actively Learning Gaussian Process Models of Nonstationary Systems AISTATS 2023 Meta-Tuning Loss Functions and Data Augmentation for Few-Shot Object Detection CVPR 2023 Model Interpretability and Rationale Extraction by Input Mask Optimization ACL 2023 One-Shot Model for Mixed-Precision Quantization CVPR 2023 Performance Scaling via Optimal Transport: Enabling Data Selection from Partially Revealed Sources NeurIPS 2023 Plateau-Reduced Differentiable Path Tracing CVPR 2023 Probabilistic Categorical Adversarial Attack and Adversarial Training ICML 2023 Revisiting Item Promotion in GNN-Based Collaborative Filtering: A Masked Targeted Topological Attack Perspective AAAI 2023 Revisiting Sampling for Combinatorial Optimization ICML 2023 Robust and Efficient Alignment of Calcium Imaging Data Through Simultaneous Low Rank and Sparse Decomposition WACV 2023 Searching for Robust Binary Neural Networks via Bimodal Parameter Perturbation WACV 2023 Structured Kernel Estimation for Photon-Limited Deconvolution CVPR 2023 The Dynamics of Sharpness-Aware Minimization: Bouncing Across Ravines and Drifting Towards Wide Minima JMLR 2023 Towards One-shot Neural Combinatorial Solvers: Theoretical and Empirical Notes on the Cardinality-Constrained Case ICLR 2023