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TitleStatusHype
Generating Plausible Counterfactual Explanations for Deep Transformers in Financial Text Classification—0
Generating robust counterfactual explanations—0
Generating Robust Counterfactual Witnesses for Graph Neural Networks—0
Generative Counterfactual Introspection for Explainable Deep Learning—0
Generative Learning of Counterfactual for Synthetic Control Applications in Econometrics—0
LiDAR-EDIT: LiDAR Data Generation by Editing the Object Layouts in Real-World Scenes—0
GenHPE: Generative Counterfactuals for 3D Human Pose Estimation with Radio Frequency Signals—0
Genie: An Open Box Counterfactual Policy Estimator for Optimizing Sponsored Search Marketplace—0
Geometric Methods for Sampling, Optimisation, Inference and Adaptive Agents—0
Geometric Structure Based and Regularized Depth Estimation From 360 Indoor Imagery—0
Geometry matters: Exploring language examples at the decision boundary—0
Getting a CLUE: A Method for Explaining Uncertainty Estimates—0
GLANCE: Global Actions in a Nutshell for Counterfactual Explainability—0
Global Graph Counterfactual Explanation: A Subgraph Mapping Approach—0
G-Net: A Deep Learning Approach to G-computation for Counterfactual Outcome Prediction Under Dynamic Treatment Regimes—0
GNNAnatomy: Rethinking Model-Level Explanations for Graph Neural Networks—0
Going from a Representative Agent to Counterfactuals in Combinatorial Choice—0
Good and safe uses of AI Oracles—0
Good Counterfactuals and Where to Find Them: A Case-Based Technique for Generating Counterfactuals for Explainable AI (XAI)—0
Good Data Is All Imitation Learning Needs—0
Gradient-based Counterfactual Explanations using Tractable Probabilistic Models—0
Gradients of Counterfactuals—0
Graph Counterfactual Explainable AI via Latent Space Traversal—0
Graph Disentangle Causal Model: Enhancing Causal Inference in Networked Observational Data—0
Graph Edits for Counterfactual Explanations: A comparative study—0
GraphITE: Estimating Individual Effects of Graph-structured Treatments—0
Graph Neural Networks: Theory for Estimation with Application on Network Heterogeneity—0
GREASE: Generate Factual and Counterfactual Explanations for GNN-based Recommendations—0
GreeDy and CoDy: Counterfactual Explainers for Dynamic Graphs—0
Grounding Counterfactual Explanation of Image Classifiers to Textual Concept Space—0
Grounding Language Plans in Demonstrations Through Counterfactual Perturbations—0
Grounding Physical Concepts of Objects and Events Through Dynamic Visual Reasoning—0
Grounding Physical Object and Event Concepts Through Dynamic Visual Reasoning—0
Group Shapley Value and Counterfactual Simulations in a Structural Model—0
Growth, Inequality and Declining Business Dynamism in a Unified Schumpeter Mark I + II Model—0
G-Transformer: Counterfactual Outcome Prediction under Dynamic and Time-varying Treatment Regimes—0
Guided Diffusion-based Counterfactual Augmentation for Robust Session-based Recommendation—0
Hallucination Augmented Recitations for Language Models—0
HalluSegBench: Counterfactual Visual Reasoning for Segmentation Hallucination Evaluation—0
Handling Climate Change Using Counterfactuals: Using Counterfactuals in Data Augmentation to Predict Crop Growth in an Uncertain Climate Future—0
Heterogeneous Causal Learning for Effectiveness Optimization in User Marketing—0
Trade-Offs Between Ranking Objectives: Reduced-Form Evidence and Structural Estimation—0
Hi-CI: Deep Causal Inference in High Dimensions—0
Hierarchical and Density-based Causal Clustering—0
High-Confidence Off-Policy (or Counterfactual) Variance Estimation—0
HIT-SCIR at SemEval-2020 Task 5: Training Pre-trained Language Model with Pseudo-labeling Data for Counterfactuals Detection—0
Homophily in preferences or meetings? Identifying and estimating an iterative network formation model—0
Horizon: Facebook's Open Source Applied Reinforcement Learning Platform—0
How COVID-19 Has Changed Crowdfunding: Evidence From GoFundMe—0
How does online shopping affect offline price sensitivity?—0
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