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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/harinisuresh/ml-trust-materials

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Misplaced Trust: Measuring the Interference of Machine Learning in Human Decision-Making

https://github.com/haritheja-e/robot-utility-models

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Robot Utility Models: General Policies for Zero-Shot Deployment in New Environments

https://github.com/haroldliuj/multiapi

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Beyond Text: Unveiling Multimodal Proficiency of Large Language Models with MultiAPI Benchmark

https://github.com/harrymok/E-Learning

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Efficient Learning of Optimal Individualized Treatment Rules for Heteroscedastic or Misspecified Treatment-Free Effect Models

https://github.com/harvard-edge/quarl

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QuaRL: Quantization for Fast and Environmentally Sustainable Reinforcement Learning

https://github.com/hashimsayed0/SubOmiEmbed

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SubOmiEmbed: Self-supervised Representation Learning of Multi-omics Data for Cancer Type Classification

https://github.com/hauf3n/backward-learning-for-goal-conditioned-policies

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Backward Learning for Goal-Conditioned Policies

https://github.com/haydengunraj/COVIDNet-CT

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COVIDNet-CT: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest CT Images

https://github.com/hbaniecki/adversarial-explainable-ai

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Adversarial attacks and defenses in explainable artificial intelligence: A survey

https://github.com/hcmlab/ganterfactual-rl

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GANterfactual-RL: Understanding Reinforcement Learning Agents' Strategies through Visual Counterfactual Explanations

https://github.com/hcording/ecomapper

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Segmentation of arbitrary features in very high resolution remote sensing imagery

https://github.com/hcorinna/utility-based-fairness

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A Justice-Based Framework for the Analysis of Algorithmic Fairness-Utility Trade-Offs

https://github.com/hcshipra/researchpublication

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Strategic Evaluation in Optimizing the Internal Supply Chain Using TOPSIS: Evidence In A Coil Winding Machine Manufacturer

https://github.com/hduanac/gradframe

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Predicting Practically? Domain Generalization for Predictive Analytics in Real-world Environments

https://github.com/he159ok/benchmark-of-uncertainty-estimation-methods-in-text-summarization

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Can We Trust the Performance Evaluation of Uncertainty Estimation Methods in Text Summarization?

https://github.com/healthylaife/ConTextual

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ConTextual: Improving Clinical Text Summarization in LLMs with Context-preserving Token Filtering and Knowledge Graphs

https://github.com/healthylaife/faircdsllm

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Bias patterns in the application of LLMs for clinical decision support: A comprehensive study

https://github.com/hegasz/large-legislative-models

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Large Legislative Models: Towards Efficient AI Policymaking in Economic Simulations

https://github.com/heidmic/suprb

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Separating Rule Discovery and Global Solution Composition in a Learning Classifier System

https://github.com/helloscm/res-cbm

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Incremental Residual Concept Bottleneck Models

https://github.com/hengruicai/coda

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Calibrated Optimal Decision Making with Multiple Data Sources and Limited Outcome

https://github.com/henriTUD/musculoco_learning

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Exciting Action: Investigating Efficient Exploration for Learning Musculoskeletal Humanoid Locomotion

https://github.com/heorhiis/fimba-attack

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FIMBA: Evaluating the Robustness of AI in Genomics via Feature Importance Adversarial Attacks

https://github.com/herolab-uga/matsee

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Object-Oriented Material Classification and 3D Clustering for Improved Semantic Perception and Mapping in Mobile Robots

https://github.com/hesedaniel/lcgln

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Locally Convex Global Loss Network for Decision-Focused Learning

https://github.com/heyinUCB/IQCbased_ImitationLearning

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Imitation Learning with Stability and Safety Guarantees

https://github.com/hharcolezi/ldp-protocols-mobility-cdrs/tree/main/papers/%5B3%5D

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Differentially Private Multivariate Time Series Forecasting of Aggregated Human Mobility With Deep Learning: Input or Gradient Perturbation?

https://github.com/hhyhrhy/owmm-agent

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OWMM-Agent: Open World Mobile Manipulation With Multi-modal Agentic Data Synthesis

https://github.com/hiaac-finance/credit_pipeline

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Best Practices for Responsible Machine Learning in Credit Scoring

https://github.com/hiaac-finance/xai_aggregation

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Multi-criteria Rank-based Aggregation for Explainable AI

https://github.com/hidayetersindursun/Imitation-Learning-for-Autonomous-Driving-Insights-from-Real-World-Testing

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Imitation Learning for Autonomous Driving: Insights from Real-World Testing

https://github.com/hifexplo/pcbvision

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PCB-Vision: A Multiscene RGB-Hyperspectral Benchmark Dataset of Printed Circuit Boards

https://github.com/hil-se/RelativeFairnessTesting

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Testing Relative Fairness in Human Decisions With Machine Learning

https://github.com/him229/fultr

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Policy-Gradient Training of Fair and Unbiased Ranking Functions

https://github.com/hitsz-tmg/cognitive-visual-language-mapper

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A Comprehensive Evaluation of GPT-4V on Knowledge-Intensive Visual Question Answering

https://github.com/hiwonjoon/ICML2019-TREX

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Extrapolating Beyond Suboptimal Demonstrations via Inverse Reinforcement Learning from Observations

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