gradient-based optimization

Trial matching: capturing variability with data-constrained spiking neural networks NeurIPS 2023 Understanding In-Context Learning via Supportive Pretraining Data ACL 2023 Weighted Clock Logic Point Process ICLR 2023 AdapterShare: Task Correlation Modeling with Adapter Differentiation EMNLP 2022 A Flexible Meta Learning Model for Image Registration MIDL 2022 Closed-Form Diffeomorphic Transformations for Time Series Alignment ICML 2022 Complex Query Answering with Neural Link Predictors (Extended Abstract)* IJCAI 2022 Differentiable Causal Discovery Under Latent Interventions CLeaR 2022 Differentiable Scaffolding Tree for Molecule Optimization ICLR 2022 Efficient Riemannian Meta-Optimization by Implicit Differentiation AAAI 2022 Fast Aquatic Swimmer Optimization with Differentiable Projective Dynamics and Neural Network Hydrodynamic Models ICML 2022 First-Order Convex Fitting and Its Application to Economics and Optimization AAAI 2022 Gradient-based Constrained Sampling from Language Models EMNLP 2022 Inverse Design for Fluid-Structure Interactions using Graph Network Simulators NeurIPS 2022 Leaping through Time with Gradient-Based Adaptation for Recommendation AAAI 2022 Learngene: From Open-World to Your Learning Task AAAI 2022 Module-Aware Optimization for Auxiliary Learning NeurIPS 2022 Monotonic Differentiable Sorting Networks ICLR 2022 Multi-Objective Deep Learning with Adaptive Reference Vectors NeurIPS 2022 Neural Architecture Search for Efficient Uncalibrated Deep Photometric Stereo WACV 2022 On Enforcing Better Conditioned Meta-Learning for Rapid Few-Shot Adaptation NeurIPS 2022 On Implicit Bias in Overparameterized Bilevel Optimization ICML 2022 On the Learning and Learnability of Quasimetrics ICLR 2022 Rethinking Optimization with Differentiable Simulation from a Global Perspective CoRL 2022 Supervised Learning with General Risk Functionals ICML 2022