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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/mitmedialab/mdagents

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MDAgents: An Adaptive Collaboration of LLMs for Medical Decision-Making

https://github.com/mitmedialab/powerful_names

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Algorithmic Inheritance: Surname Bias in AI Decisions Reinforces Intergenerational Inequality

https://github.com/mitre/arlin

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Utilizing Explainability Techniques for Reinforcement Learning Model Assurance

https://github.com/mjschleich/GeCo.jl

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GeCo: Quality Counterfactual Explanations in Real Time

https://github.com/mkaep/transformer-explainability

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Attention Please: What Transformer Models Really Learn for Process Prediction

https://github.com/mkduong-ai/fairness-uncertainty-score

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(Un)certainty of (Un)fairness: Preference-Based Selection of Certainly Fair Decision-Makers

https://github.com/mkt1412/testtime-smoothing-defense

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An Adaptive View of Adversarial Robustness from Test-time Smoothing Defense

https://github.com/mkuzma96/customprod

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Addressing distributional shifts in operations management: The case of order fulfillment in customized production

https://github.com/mkuzma96/dta

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Deconfounding Temporal Autoencoder: Estimating Treatment Effects over Time Using Noisy Proxies

https://github.com/ml-edm/ml_edm

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ml_edm package: a Python toolkit for Machine Learning based Early Decision Making

https://github.com/ml-group-sdu/diffail

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DiffAIL: Diffusion Adversarial Imitation Learning

https://github.com/ml-health/treatment-rspn

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Treatment-RSPN: Recurrent Sum-Product Networks for Sequential Treatment Regimes

https://github.com/mlallikivi/cautious-calibration

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Cautious Calibration in Binary Classification

https://github.com/mld3/combining-chest-x-rays-and-ehr-data-arf

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Combining chest X-rays and electronic health record (EHR) data using machine learning to diagnose acute respiratory failure

https://github.com/mld3/dcem

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From Biased Selective Labels to Pseudo-Labels: An Expectation-Maximization Framework for Learning from Biased Decisions

https://github.com/mlisicki/neuralkernelbandits

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Empirical analysis of representation learning and exploration in neural kernel bandits

https://github.com/mlsm-at-dtu/floods_transport_rl

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Climate Adaptation with Reinforcement Learning: Experiments with Flooding and Transportation in Copenhagen

https://github.com/mneuronico/griw-world-spatial-orientation-task

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From Text to Space: Mapping Abstract Spatial Models in LLMs during a Grid-World Navigation Task

https://github.com/moamirian/CNN_RBFs

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Radial Basis Function Networks for Convolutional Neural Networks to Learn Similarity Distance Metric and Improve Interpretability

https://github.com/modeloriented/survex

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Interpretable machine learning for time-to-event prediction in medicine and healthcare

https://github.com/mohaEs/image-to-images-translation

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Image to Images Translation for Multi-Task Organ Segmentation and Bone Suppression in Chest X-Ray Radiography

https://github.com/mohaes/vl4ml

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Affective Medical Estimation and Decision Making via Visualized Learning and Deep Learning

https://github.com/mohsen-raoufi/icra_2023

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Estimation of continuous environments by robot swarms: Correlated networks and decision-making

https://github.com/moienr/soilnet

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SSL-SoilNet: A Hybrid Transformer-based Framework with Self-Supervised Learning for Large-scale Soil Organic Carbon Prediction

https://github.com/monjurulkarim/xai-accident

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Towards explainable artificial intelligence (XAI) for early anticipation of traffic accidents

https://github.com/montaserFath/Reinforcement-Learning-for-Prosthetics

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Transfer Learning for Prosthetics Using Imitation Learning

https://github.com/montenegroalessandro/bestarmidsrb

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Best Arm Identification for Stochastic Rising Bandits

https://github.com/morgancthomas/molscore

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ACEGEN: Reinforcement learning of generative chemical agents for drug discovery

https://github.com/morning9393/etpo

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Entropy-Regularized Token-Level Policy Optimization for Language Agent Reinforcement

https://github.com/mozerwang/demo

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DEMO: Reframing Dialogue Interaction with Fine-grained Element Modeling

https://github.com/mpatacchiola/imujoco

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Comparing the Efficacy of Fine-Tuning and Meta-Learning for Few-Shot Policy Imitation

https://github.com/mrsfgl/supervised-tensor-fusion

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Coupled Support Tensor Machine Classification for Multimodal Neuroimaging Data

https://github.com/mrzilinxiao/llmheuristicreheat

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Will the Real Linda Please Stand up...to Large Language Models? Examining the Representativeness Heuristic in LLMs

https://github.com/mslars/mare

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Multi-Attribute Relation Extraction (MARE) -- Simplifying the Application of Relation Extraction

https://github.com/msohaildanish/divalign

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Improving Single Domain-Generalized Object Detection: A Focus on Diversification and Alignment

https://github.com/mtandhj/sevo

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Graph-enhanced Optimizers for Structure-aware Recommendation Embedding Evolution

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.