Optimization

Adaptive Estimation of Graphical Models under Total Positivity ICML 2023 Adaptive Hyper-parameter Learning for Deep Semantic Retrieval EMNLP 2023 Adaptive Low-Precision Training for Embeddings in Click-Through Rate Prediction AAAI 2023 Adaptive Mixing of Auxiliary Losses in Supervised Learning AAAI 2023 Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo CVPR 2023 Adaptive Perturbation-Based Gradient Estimation for Discrete Latent Variable Models AAAI 2023 Adaptive Policy with Wait-k Model for Simultaneous Translation EMNLP 2023 Adaptive Reordering Sampler with Neurally Guided MAGSAC ICCV 2023 Adaptive Riemannian stochastic gradient descent and reparameterization for Gaussian mixture model fitting ACML 2023 Adaptive SGD with Polyak stepsize and Line-search: Robust Convergence and Variance Reduction NeurIPS 2023 Adaptive Zone-Aware Hierarchical Planner for Vision-Language Navigation CVPR 2023 AdaTask: A Task-Aware Adaptive Learning Rate Approach to Multi-Task Learning AAAI 2023 Addressing Budget Allocation and Revenue Allocation in Data Market Environments Using an Adaptive Sampling Algorithm ICML 2023 A Deep Conjugate Direction Method for Iteratively Solving Linear Systems ICML 2023 A Differential Geometric View and Explainability of GNN on Evolving Graphs ICLR 2023 AD-TUNING: An Adaptive CHILD-TUNING Approach to Efficient Hyperparameter Optimization of Child Networks for Speech Processing Tasks in the SUPERB Benchmark Interspeech 2023 Advancing Example Exploitation Can Alleviate Critical Challenges in Adversarial Training ICCV 2023 Adversarial Examples Might be Avoidable: The Role of Data Concentration in Adversarial Robustness NeurIPS 2023 Adversarial Framework with Certified Robustness for Time-Series Domain via Statistical Features (Extended Abstract) IJCAI 2023 Adversarial Robustness in Discontinuous Spaces via Alternating Sampling & Descent WACV 2023 Adversarial Robustness via Random Projection Filters CVPR 2023 Adversarial Weight Perturbation Improves Generalization in Graph Neural Networks AAAI 2023 A Fair Generative Model Using LeCam Divergence AAAI 2023 A Fast Adaptive Randomized PCA Algorithm IJCAI 2023 A Fast and Accurate Estimator for Large Scale Linear Model via Data Averaging NeurIPS 2023