| Incremental Learning with Concept Drift Detection and Prototype-based Embeddings for Graph Stream Classification | Apr 3, 2024 | Decision MakingDrift Detection | —Unverified | 0 |
| Indexing Cost Sensitive Prediction | Aug 15, 2014 | BIG-bench Machine LearningDecision Making | —Unverified | 0 |
| IndigoVX: Where Human Intelligence Meets AI for Optimal Decision Making | Jul 21, 2023 | Decision Making | —Unverified | 0 |
| Individual Calibration with Randomized Forecasting | Jun 18, 2020 | Decision MakingFairness | —Unverified | 0 |
| Individual Fairness in Hindsight | Dec 10, 2018 | Decision MakingFairness | —Unverified | 0 |
| Individualized Decision-Making Under Partial Identification: Three Perspectives, Two Optimality Results, and One Paradox | Oct 21, 2021 | Causal InferenceDecision Making | —Unverified | 0 |
| Individual Sensing can Gain more Fitness than its Information | Dec 27, 2017 | Decision Making | —Unverified | 0 |
| Inducing anxiety in large language models can induce bias | Apr 21, 2023 | Decision MakingPrompt Engineering | —Unverified | 0 |
| Inducing Functions through Reinforcement Learning without Task Specification | Nov 23, 2021 | Decision Makingimage-classification | —Unverified | 0 |
| Inducing Point Allocation for Sparse Gaussian Processes in High-Throughput Bayesian Optimisation | Jan 24, 2023 | Bayesian OptimisationDecision Making | —Unverified | 0 |
| Inducing Stackelberg Equilibrium through Spatio-Temporal Sequential Decision-Making in Multi-Agent Reinforcement Learning | Apr 20, 2023 | Decision MakingMulti-agent Reinforcement Learning | —Unverified | 0 |
| Inductive Inference and the Representation of Uncertainty | Mar 27, 2013 | Decision Making | —Unverified | 0 |
| Infection-responsivity of Commercial Dressings Through Halochromic Drop-casting | Nov 28, 2023 | Decision MakingDiagnostic | —Unverified | 0 |
| Preemptive Detection and Correction of Misaligned Actions in LLM Agents | Jul 16, 2024 | Action DetectionDecision Making | —Unverified | 0 |
| Inference and dynamic decision-making for deteriorating systems with probabilistic dependencies through Bayesian networks and deep reinforcement learning | Sep 2, 2022 | Decision MakingDecision Making Under Uncertainty | —Unverified | 0 |
| Inference for an Algorithmic Fairness-Accuracy Frontier | Feb 14, 2024 | Decision MakingFairness | —Unverified | 0 |
| Inference of Quantized Neural Networks on Heterogeneous All-Programmable Devices | Jun 21, 2018 | AllCPU | —Unverified | 0 |
| Inference of Utilities and Time Preference in Sequential Decision-Making | May 24, 2024 | Decision MakingSequential Decision Making | —Unverified | 0 |
| Inference of ventricular activation properties from non-invasive electrocardiography | Oct 28, 2020 | Decision MakingDiagnostic | —Unverified | 0 |
| Inference-Time Rule Eraser: Fair Recognition via Distilling and Removing Biased Rules | Apr 7, 2024 | Decision MakingFairness | —Unverified | 0 |
| Inference with Choice Functions Made Practical | May 7, 2020 | Decision Making | —Unverified | 0 |
| Inferential Moments of Uncertain Multivariable Systems | May 3, 2023 | Bayesian InferenceDecision Making | —Unverified | 0 |
| Inferring and Learning from Neuronal Correspondences | Jan 23, 2015 | Decision Making | —Unverified | 0 |
| Inferring Gene Regulatory Neural Networks for Bacterial Decision Making in Biofilms | Jan 10, 2023 | Decision MakingGraph Neural Network | —Unverified | 0 |
| Inferring Parameters Through Inverse Multiobjective Optimization | Aug 2, 2018 | Decision MakingMultiobjective Optimization | —Unverified | 0 |