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TitleStatusHype
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
Sequential Treatment Effect Estimation with Unmeasured Confounders—0
Serious errors impair an assessment of forest carbon projects: A rebuttal of West et al. (2023)—0
SFR-RAG: Towards Contextually Faithful LLMs—0
Shaking the foundations: delusions in sequence models for interaction and control—0
Shapelet-based Model-agnostic Counterfactual Local Explanations for Time Series Classification—0
Shapley Counterfactual Credits for Multi-Agent Reinforcement Learning—0
Bounds and Sensitivity Analysis of the Causal Effect Under Outcome-Independent MNAR Confounding—0
A Computational Approach to Identification of Treatment Effects for Policy Evaluation—0
Shift in house price estimates during COVID-19 reveals effect of crisis on collective speculation—0
Shopping in the Multiverse: A Counterfactual Approach to In-Session Attribution—0
Shortcomings of Counterfactual Fairness and a Proposed Modification—0
Should I Trust You? Detecting Deception in Negotiations using Counterfactual RL—0
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