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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/AminHonarmandiShandiz/cancerpredict

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Multimodal Deep Learning for Subtype Classification in Breast Cancer Using Histopathological Images and Gene Expression Data

https://github.com/Amir-Samadi/VVF-TP

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A Novel Deep Neural Network for Trajectory Prediction in Automated Vehicles Using Velocity Vector Field

https://github.com/AmirhoseinCh/DynamicPatch

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Dynamic Adversarial Attacks on Autonomous Driving Systems

https://github.com/AndreasPatakis/SAMAT

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Semantic-Aware Interpretable Multimodal Music Auto-Tagging

https://github.com/Annie983284450-1/NeuralLCB_C

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NeuroSep-CP-LCB: A Deep Learning-based Contextual Multi-armed Bandit Algorithm with Uncertainty Quantification for Early Sepsis Prediction

https://github.com/AriChow/EL

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Emergent symbolic language based deep medical image classification

https://github.com/AslanDing/Fidelity

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Towards Robust Fidelity for Evaluating Explainability of Graph Neural Networks

https://github.com/Ayush8120/COAT

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Physical Reasoning and Object Planning for Household Embodied Agents

https://github.com/BBVA/UMAL

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Modelling heterogeneous distributions with an Uncountable Mixture of Asymmetric Laplacians

https://github.com/Bahram-Mohammadi/ACK

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Augmented Commonsense Knowledge for Remote Object Grounding

https://github.com/BaitingLuo/Dynamic_Simplex

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Dynamic Simplex: Balancing Safety and Performance in Autonomous Cyber Physical Systems

https://github.com/Bam4d/conditional-action-trees

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Generalising Discrete Action Spaces with Conditional Action Trees

https://github.com/BayesBrain/Habi

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Habitizing Diffusion Planning for Efficient and Effective Decision Making

https://github.com/BenBals/Towards-Explainable-Real-Estate

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Towards Explainable Real Estate Valuation via Evolutionary Algorithms

https://github.com/BerkeleyAutomation/DART

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DART: Noise Injection for Robust Imitation Learning

https://github.com/BiDAlab/FairCVtest

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Bias in Multimodal AI: Testbed for Fair Automatic Recruitment

https://github.com/BioIntelligence-Lab/IntelligentStreaming

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ISLE: An Intelligent Streaming Framework for High-Throughput AI Inference in Medical Imaging

https://github.com/BioroboticsLab/IBA

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Restricting the Flow: Information Bottlenecks for Attribution

https://github.com/BioroboticsLab/IBA-paper-code

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Restricting the Flow: Information Bottlenecks for Attribution

https://github.com/Bluefin-Tuna/ApartResearch

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View From Above: A Framework for Evaluating Distribution Shifts in Model Behavior

https://github.com/BorealisAI/Autocast-plus-plus

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AutoCast++: Enhancing World Event Prediction with Zero-shot Ranking-based Context Retrieval

https://github.com/Breakend/OptionGAN

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OptionGAN: Learning Joint Reward-Policy Options using Generative Adversarial Inverse Reinforcement Learning

https://github.com/ByunghweeLee-IU/Belief-Embedding

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A semantic embedding space based on large language models for modelling human beliefs

https://github.com/CAHLR/goal-based-recommendation

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Goal-based Course Recommendation

https://github.com/CHNPAT005/PCRBTG-VT

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The Epps effect under alternative sampling schemes

https://github.com/CLArg-group/argumentative-llms

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Argumentative Large Language Models for Explainable and Contestable Claim Verification

https://github.com/CMVS-Lab/SAC-Residual-Fusion-CARLA

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Autonomous Driving using Residual Sensor Fusion and Deep Reinforcement Learning

https://github.com/COHRINT/FaMSeC

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"A Good Bot Always Knows Its Limitations": Assessing Autonomous System Decision-making Competencies through Factorized Machine Self-confidence

https://github.com/COLA-Laboratory/kpi

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Knee Point Identification Based on Trade-Off Utility

https://github.com/CORE-Robotics-Lab/ProLoNets

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Neural-encoding Human Experts' Domain Knowledge to Warm Start Reinforcement Learning

https://github.com/CORE-Robotics-Lab/Utility-of-Explainable-AI-NeurIPS2021

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The Utility of Explainable AI in Ad Hoc Human-Machine Teaming

https://github.com/CPJKU/score_following_game

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Learning to Listen, Read, and Follow: Score Following as a Reinforcement Learning Game

https://github.com/CSSLab/maia-chess

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Aligning Superhuman AI with Human Behavior: Chess as a Model System

https://github.com/CVC-Lab/SAC-for-H-Bond-Learning

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Reinforcement Learning for Molecular Dynamics Optimization: A Stochastic Pontryagin Maximum Principle Approach

https://github.com/CadenzaCoda/ConstraintAwareIL

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A Simple Approach to Constraint-Aware Imitation Learning with Application to Autonomous Racing

https://github.com/CaifengLiu/music-genre-classification

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Bottom-up Broadcast Neural Network For Music Genre Classification

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