Co-occurring keywords · papers mentioning both
Papers
Deep Submodular Peripteral Networks
NeurIPS 2024
From Linear to Linearizable Optimization: A Novel Framework with Applications to Stationary and Non-stationary DR-submodular Optimization
NeurIPS 2024
Informative Path Planning with Limited Adaptivity
AISTATS 2024
Less is More: Fewer Interpretable Region via Submodular Subset Selection
ICLR 2024
Measures of diversity and space-filling designs for categorical data
ICML 2024
Seed Selection in the Heterogeneous Moran Process
IJCAI 2024
STONE: A Submodular Optimization Framework for Active 3D Object Detection
NeurIPS 2024
Submodular-based In-context Example Selection for LLMs-based Machine Translation
COLING 2024
Submodular information selection for hypothesis testing with misclassification penalties
L4DC 2024
Submodular Minimax Optimization: Finding Effective Sets
AISTATS 2024
Sum-max Submodular Bandits
AISTATS 2024
Unified Projection-Free Algorithms for Adversarial DR-Submodular Optimization
ICLR 2024
Weighted Envy-Freeness for Submodular Valuations
AAAI 2024
Bandit Multi-linear DR-Submodular Maximization and Its Applications on Adversarial Submodular Bandits
ICML 2023
Building a Winning Team: Selecting Source Model Ensembles using a Submodular Transferability Estimation Approach
ICCV 2023
Constrained Submodular Optimization for Vaccine Design
AAAI 2023
Detecting Sources of Healthcare Associated Infections
AAAI 2023
Discrete Continuous Optimization Framework for Simultaneous Clustering and Training in Mixture Models
ICML 2023
DITTO: Data-efficient and Fair Targeted Subset Selection for ASR Accent Adaptation
ACL 2023
Diverse Approximations for Monotone Submodular Maximization Problems with a Matroid Constraint
IJCAI 2023
Dynamic Constrained Submodular Optimization with Polylogarithmic Update Time
ICML 2023
Fair Allocation of Indivisible Chores: Beyond Additive Costs
NeurIPS 2023
Fantastic Style Channels and Where To Find Them: A Submodular Framework for Discovering Diverse Directions in GANs
WACV 2023
H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models
NeurIPS 2023
INGENIOUS: Using Informative Data Subsets for Efficient Pre-Training of Language Models
EMNLP 2023