Optimization

Keyphrase Generation via Soft and Hard Semantic Corrections EMNLP 2022 Keypoint-Guided Optimal Transport with Applications in Heterogeneous Domain Adaptation NeurIPS 2022 Kill a Bird with Two Stones: Closing the Convergence Gaps in Non-Strongly Convex Optimization by Directly Accelerated SVRG with Double Compensation and Snapshots ICML 2022 KL Guided Domain Adaptation ICLR 2022 KNOT: Knowledge Distillation Using Optimal Transport for Solving NLP Tasks COLING 2022 KOALA: A Kalman Optimization Algorithm with Loss Adaptivity AAAI 2022 Label noise (stochastic) gradient descent implicitly solves the Lasso for quadratic parametrisation COLT 2022 Label-Only Model Inversion Attacks via Boundary Repulsion CVPR 2022 Lagrangian Method for Q-Function Learning (with Applications to Machine Translation) ICML 2022 Large-batch Optimization for Dense Visual Predictions: Training Faster R-CNN in 4.2 Minutes NeurIPS 2022 Large Learning Rate Tames Homogeneity: Convergence and Balancing Effect ICLR 2022 Large-Scale Differentiable Causal Discovery of Factor Graphs NeurIPS 2022 Large-Scale Graph Neural Architecture Search ICML 2022 Large-scale Optimization of Partial AUC in a Range of False Positive Rates NeurIPS 2022 Large-scale Stochastic Optimization of NDCG Surrogates for Deep Learning with Provable Convergence ICML 2022 LAS-AT: Adversarial Training With Learnable Attack Strategy CVPR 2022 LassoBench: A High-Dimensional Hyperparameter Optimization Benchmark Suite for Lasso AutoML 2022 Last-Iterate Convergence of Optimistic Gradient Method for Monotone Variational Inequalities NeurIPS 2022 Latent Reweighting, an Almost Free Improvement for GANs WACV 2022 LC-FDNet: Learned Lossless Image Compression With Frequency Decomposition Network CVPR 2022 Learning Adaptive Axis Attentions in Fine-tuning: Beyond Fixed Sparse Attention Patterns ACL 2022 Learning Adaptive Segmentation Policy for End-to-End Simultaneous Translation ACL 2022 Learning a neural Pareto manifold extractor with constraints UAI 2022 Learning a Single Neuron with Adversarial Label Noise via Gradient Descent COLT 2022 Learning-based Optimisation of Particle Accelerators Under Partial Observability Without Real-World Training ICML 2022