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Decision Making

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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/delftcrowd/iui2025_convxai

공식 코드

Is Conversational XAI All You Need? Human-AI Decision Making With a Conversational XAI Assistant

https://github.com/denisbless/variational_sampling_methods

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Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling

https://github.com/derEitel/explainableMS

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Uncovering convolutional neural network decisions for diagnosing multiple sclerosis on conventional MRI using layer-wise relevance propagation

https://github.com/derenlei/CS_Net

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Learning to Reason in Round-based Games: Multi-task Sequence Generation for Purchasing Decision Making in First-person Shooters

https://github.com/devanshgupta160/stochastic-differentially-private-and-fair-learning

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Stochastic Differentially Private and Fair Learning

https://github.com/devendrachaplot/DeepRL-Grounding

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Gated-Attention Architectures for Task-Oriented Language Grounding

https://github.com/devindeng94/llm-smac

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A New Approach to Solving SMAC Task: Generating Decision Tree Code from Large Language Models

https://github.com/devmotion/calibration_iclr2021

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Calibration tests beyond classification

https://github.com/dfki-av/mikasa-3dvg

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MiKASA: Multi-Key-Anchor & Scene-Aware Transformer for 3D Visual Grounding

https://github.com/dholzmueller/probmetrics

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Rethinking Early Stopping: Refine, Then Calibrate

https://github.com/dholzmueller/pytabkit

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Rethinking Early Stopping: Refine, Then Calibrate

https://github.com/diambra/arena

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DIAMBRA Arena: a New Reinforcement Learning Platform for Research and Experimentation

https://github.com/dibya404/gastrointestinal-disease-classification-through-explainable-and-cost-sensitive-dnn-with-scl

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Gastrointestinal Disease Classification through Explainable and Cost-Sensitive Deep Neural Networks with Supervised Contrastive Learning

https://github.com/dicelab-rhul/lelma

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Towards Logically Sound Natural Language Reasoning with Logic-Enhanced Language Model Agents

https://github.com/digital-ecmt/coronet_tool

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Assessing the communication gap between AI models and healthcare professionals: explainability, utility and trust in AI-driven clinical decision-making

https://github.com/digitalphonetics/intrinsic-subgraph-generation-for-vqa

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Intrinsic Subgraph Generation for Interpretable Graph based Visual Question Answering

https://github.com/dilyabareeva/grad-slingshot

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Manipulating Feature Visualizations with Gradient Slingshots

https://github.com/dimarkov/aibandits

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An empirical evaluation of active inference in multi-armed bandits

https://github.com/dimipan/hrl-llm

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Selective Exploration and Information Gathering in Search and Rescue Using Hierarchical Learning Guided by Natural Language Input

https://github.com/dingyiming0427/goalgail

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Goal-conditioned Imitation Learning

https://github.com/dipeshtamboli/posnegdm-reinforced-sequential-decision-making-for-sepsis-treatment

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Reinforced Sequential Decision-Making for Sepsis Treatment: The POSNEGDM Framework with Mortality Classifier and Transformer

https://github.com/dipkamal/chestxrayclassifier

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Multi-Label Classification of Thoracic Diseases using Dense Convolutional Network on Chest Radiographs

https://github.com/dipteshdas/cp-shim

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A Confidence Machine for Sparse High-Order Interaction Model

https://github.com/divyat09/cf-feasibility

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Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers

https://github.com/dixantmittal/expose

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ExPoSe: Combining State-Based Exploration with Gradient-Based Online Search

https://github.com/djl11/ESM

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End-to-End Egospheric Spatial Memory

https://github.com/dkollias/fair-consistent-affect-analysis

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Bridging the Gap: Protocol Towards Fair and Consistent Affect Analysis

https://github.com/dkw-aau/medic_transformer

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Hospitalization Length of Stay Prediction using Patient Event Sequences

https://github.com/dlej/grapl

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Thresholding Graph Bandits with GrAPL

https://github.com/dlr-mi/dati

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Learning Representative Trajectories of Dynamical Systems via Domain-Adaptive Imitation

https://github.com/dlr-rm/interactive-incremental-learning

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Interactive incremental learning of generalizable skills with local trajectory modulation

https://github.com/dlut-lab-zmn/mtdm

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Temporal Knowledge Graph Reasoning Triggered by Memories

https://github.com/dmirlab-group/causal-aware_llms

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Causal-aware Large Language Models: Enhancing Decision-Making Through Learning, Adapting and Acting

https://github.com/dmis-lab/demographic-prediction

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Predicting Multiple Demographic Attributes with Task Specific Embedding Transformation and Attention Network

https://github.com/dmitrykazhdan/MEME-RNN-XAI

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MEME: Generating RNN Model Explanations via Model Extraction

https://github.com/dmksjfl/seabo

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SEABO: A Simple Search-Based Method for Offline Imitation Learning

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