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TitleStatusHype
Robust Counterfactual Explanations in Machine Learning: A Survey—0
Robust Counterfactual Explanations on Graph Neural Networks—0
Robust Counterfactual Explanations under Model Multiplicity Using Multi-Objective Optimization—0
Robust Counterfactual Inference in Markov Decision Processes—0
Robust Counterfactual Inferences using Feature Learning and their Applications—0
Robust Emotion Recognition in Context Debiasing—0
Robust Explanations for Private Support Vector Machines—0
Robustifying Multi-hop QA through Pseudo-Evidentiality Training—0
Robust Machine Learning by Transforming and Augmenting Imperfect Training Data—0
Robust Multi-agent Counterfactual Prediction—0
Robust Network Targeting with Multiple Nash Equilibria—0
Robust Stochastic Graph Generator for Counterfactual Explanations—0
RoCoDA: Counterfactual Data Augmentation for Data-Efficient Robot Learning from Demonstrations—0
Sacred Ecology: The Environmental Impact of African Traditional Religions—0
SACSoN: Scalable Autonomous Control for Social Navigation—0
Debiased Off-Policy Evaluation for Recommendation Systems—0
SAFE: Saliency-Aware Counterfactual Explanations for DNN-based Automated Driving Systems—0
SALAD: Improving Robustness and Generalization through Contrastive Learning with Structure-Aware and LLM-Driven Augmented Data—0
Saliency Maps Generation for Automatic Text Summarization—0
Sample-Efficient Reinforcement Learning via Counterfactual-Based Data Augmentation—0
Sample size planning for conditional counterfactual mean estimation with a K-armed randomized experiment—0
Sanctions and Imports of Essential Goods: A Closer Look at the Equipo Anova (2021) Results—0
Sayer: Using Implicit Feedback to Optimize System Policies—0
Scalable Counterfactual Distribution Estimation in Multivariate Causal Models—0
Scalable Hierarchical Reinforcement Learning for Hyper Scale Multi-Robot Task Planning—0
Scaling Guarantees for Nearest Counterfactual Explanations—0
Counterfactual Critic Multi-Agent Training for Scene Graph Generation—0
SCENE: Evaluating Explainable AI Techniques Using Soft Counterfactuals—0
School-age Vaccination, School Openings and Covid-19 diffusion—0
SC-ML: Self-supervised Counterfactual Metric Learning for Debiased Visual Question Answering—0
Score-Based Explanations in Data Management and Machine Learning—0
Score-Based Explanations in Data Management and Machine Learning: An Answer-Set Programming Approach to Counterfactual Analysis—0
SCouT: Synthetic Counterfactuals via Spatiotemporal Transformers for Actionable Healthcare—0
SECRETS: Subject-Efficient Clinical Randomized Controlled Trials using Synthetic Intervention—0
Selecting Treatment Effects Models for Domain Adaptation Using Causal Knowledge—0
Selection, Ignorability and Challenges With Causal Fairness—0
Self-eXplainable AI for Medical Image Analysis: A Survey and New Outlooks—0
Self-Interpretable Time Series Prediction with Counterfactual Explanations—0
Self-Supervised Learning of Motion Concepts by Optimizing Counterfactuals—0
Self-Supervised Representation Learning with Meta Comprehensive Regularization—0
Seller-Side Experiments under Interference Induced by Feedback Loops in Two-Sided Platforms—0
Semantics and explanation: why counterfactual explanations produce adversarial examples in deep neural networks—0
Yseop at SemEval-2020 Task 5: Cascaded BERT Language Model for Counterfactual Statement Analysis—0
Semi-supervised Batch Learning From Logged Data—0
Semi-supervised counterfactual explanations—0
Semi-supervised Learning From Demonstration Through Program Synthesis: An Inspection Robot Case Study—0
Sensitivity Analysis in Unconditional Quantile Effects—0
Sensitivity of Regular Estimators—0
Separating and Learning Latent Confounders to Enhancing User Preferences Modeling—0
Sequential Counterfactual Decision-Making Under Confounded Reward—0
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