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Showing 1901–1950 of 2765 papers

TitleStatusHype
BOSS: Bottom-up Cross-modal Semantic Composition with Hybrid Counterfactual Training for Robust Content-based Image Retrieval—0
Bounding probabilities of causation through the causal marginal problem—0
Bounds on Average Effects in Discrete Choice Panel Data Models—0
Bounds on Distributional Treatment Effect Parameters using Panel Data with an Application on Job Displacement—0
BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimization and Diffusion Modeling—0
Bridging the Domain Gap: Improve Informal Language Translation via Counterfactual Domain Adaptation—0
Bridging the gap: Towards an Expanded Toolkit for AI-driven Decision-Making in the Public Sector—0
Bubble Necessity Theorem—0
Budgeting Counterfactual for Offline RL—0
BYteam at SemEval-2020 Task 5: Detecting Counterfactual Statements with BERT and Ensembles—0
C^3: Compositional Counterfactual Contrastive Learning for Video-grounded Dialogues—0
CAB: Continuous Adaptive Blending Estimator for Policy Evaluation and Learning—0
CAISA at SemEval-2023 Task 8: Counterfactual Data Augmentation for Mitigating Class Imbalance in Causal Claim Identification—0
Calibrating Healthcare AI: Towards Reliable and Interpretable Deep Predictive Models—0
CAMEF: Causal-Augmented Multi-Modality Event-Driven Financial Forecasting by Integrating Time Series Patterns and Salient Macroeconomic Announcements—0
CANDOR: Counterfactual ANnotated DOubly Robust Off-Policy Evaluation—0
Can LLMs Explain Themselves Counterfactually?—0
Can't make an Omelette without Breaking some Eggs: Plausible Action Anticipation using Large Video-Language Models—0
Can We Improve Model Robustness through Secondary Attribute Counterfactuals?—0
Cascade Model-based Propensity Estimation for Counterfactual Learning to Rank—0
Case Level Counterfactual Reasoning in Process Mining—0
Causal and Counterfactual Views of Missing Data Models—0
Causal Augmentation for Causal Sentence Classification—0
CausalBench: A Comprehensive Benchmark for Causal Learning Capability of LLMs—0
CausalCity: Complex Simulations with Agency for Causal Discovery and Reasoning—0
Causal Conceptions of Fairness and their Consequences—0
Causal Contrastive Learning for Counterfactual Regression Over Time—0
Causal Discovery and Counterfactual Explanations for Personalized Student Learning—0
Causal Discovery and Counterfactual Reasoning to Optimize Persuasive Dialogue Policies—0
Causal Disentanglement for Robust Long-tail Medical Image Generation—0
CausalDyna: Improving Generalization of Dyna-style Reinforcement Learning via Counterfactual-Based Data Augmentation—0
Causal Dynamic Variational Autoencoder for Counterfactual Regression in Longitudinal Data—0
Causal Effect Estimation with Global Probabilistic Forecasting: A Case Study of the Impact of Covid-19 Lockdowns on Energy Demand—0
Causal effect of racial bias in data and machine learning algorithms on user persuasiveness & discriminatory decision making: An Empirical Study—0
Causal effects based on distributional distances—0
Causal Explanations and XAI—0
Causal Fair Metric: Bridging Causality, Individual Fairness, and Adversarial Robustness—0
Causal Generative Explainers using Counterfactual Inference: A Case Study on the Morpho-MNIST Dataset—0
Causal Graph ODE: Continuous Treatment Effect Modeling in Multi-agent Dynamical Systems—0
Causal Image Synthesis of Brain MR in 3D—0
Causal Impact of Masks, Policies, Behavior on Early Covid-19 Pandemic in the U.S—0
Causal Imputation for Counterfactual SCMs: Bridging Graphs and Latent Factor Models—0
Causal inference for climate change events from satellite image time series using computer vision and deep learning—0
Causal inference for data-driven debugging and decision making in cloud computing—0
Causal Inference in Finance: An Expertise-Driven Model for Instrument Variables Identification and Interpretation—0
Causal Inference in Non-linear Time-series using Deep Networks and Knockoff Counterfactuals—0
Causal Inference under Data Restrictions—0
Predictive Coding beyond Correlations—0
Causal Inference with Deep Causal Graphs—0
Causal Inference with Latent Variables: Recent Advances and Future Prospectives—0
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