adaptive sampling

Dionysus: Recovering Scene Structures by Dividing Into Semantic Pieces CVPR 2023 Dynamic PlenOctree for Adaptive Sampling Refinement in Explicit NeRF ICCV 2023 Learning Regions of Interest for Bayesian Optimization with Adaptive Level-Set Estimation ICML 2023 Let’s Sample Step by Step: Adaptive-Consistency for Efficient Reasoning and Coding with LLMs EMNLP 2023 RL-based Stateful Neural Adaptive Sampling and Denoising for Real-Time Path Tracing NeurIPS 2023 Towards Reliable Item Sampling for Recommendation Evaluation AAAI 2023 AdaMixer: A Fast-Converging Query-Based Object Detector CVPR 2022 Adaptive Sampling for Discovery NeurIPS 2022 Approximate Function Evaluation via Multi-Armed Bandits AISTATS 2022 Forging Multiple Training Objectives for Pre-trained Language Models via Meta-Learning EMNLP 2022 Input-Specific Robustness Certification for Randomized Smoothing AAAI 2022 Is this the Right Neighborhood? Accurate and Query Efficient Model Agnostic Explanations NeurIPS 2022 Nearly Optimal Algorithms for Level Set Estimation AISTATS 2022 On Elimination Strategies for Bandit Fixed-Confidence Identification NeurIPS 2022 Optimal Sampling Gaps for Adaptive Submodular Maximization AAAI 2022 Rethinking InfoNCE: How Many Negative Samples Do You Need? IJCAI 2022 SGD with Coordinate Sampling: Theory and Practice JMLR 2022 Adaptive Focus for Efficient Video Recognition ICCV 2021 Adaptive Sampling for Best Policy Identification in Markov Decision Processes ICML 2021 Adaptive Sampling for Estimating Distributions: A Bayesian Upper Confidence Bound Approach L4DC 2021 Adaptive Sampling for Minimax Fair Classification NeurIPS 2021 ASHF-Net: Adaptive Sampling and Hierarchical Folding Network for Robust Point Cloud Completion AAAI 2021 A Tale of Two Efficient and Informative Negative Sampling Distributions ICML 2021 Dynamic influence maximization NeurIPS 2021 Learn to Predict Vertical Track Irregularity with Extremely Imbalanced Data ACML 2021