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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/kareem-metwaly/car-api

공식 코드

CAR -- Cityscapes Attributes Recognition A Multi-category Attributes Dataset for Autonomous Vehicles

https://github.com/kartikgupta-at-anu/spline-calibration

공식 코드

Calibration of Neural Networks using Splines

https://github.com/kas-lab/rosa

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ROSA: A Knowledge-based Solution for Robot Self-Adaptation

https://github.com/katejarne/RNN_study_with_keras

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Exploring weight initialization, diversity of solutions, and degradation in recurrent neural networks trained for temporal and decision-making tasks

https://github.com/katiekang1998/cautious_extrapolation

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Deep Neural Networks Tend To Extrapolate Predictably

https://github.com/kaushalkumarsimmons/forecasting-crude-oil-prices-using-reservoir-computing-models

공식 코드

Forecasting Crude Oil Prices Using Reservoir Computing Models

https://github.com/keisuke198619/PO-MC-DHVRNN

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Decentralized policy learning with partial observation and mechanical constraints for multiperson modeling

https://github.com/kelicht/ordce

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Ordered Counterfactual Explanation by Mixed-Integer Linear Optimization

https://github.com/kenza-ily/diagnose_treat_bias_llm

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How Can We Diagnose and Treat Bias in Large Language Models for Clinical Decision-Making?

https://github.com/kernel-calibration/kernel-calibration

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Calibration by Distribution Matching: Trainable Kernel Calibration Metrics

https://github.com/kevaldoshi17/Prediction-based-Video-Anomaly-Detection-

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Online Anomaly Detection in Surveillance Videos with Asymptotic Bounds on False Alarm Rate

https://github.com/kevinkamm/aquaculturestochasticfeeding

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On the Impact of Feeding Cost Risk in Aquaculture Valuation and Decision Making

https://github.com/kevinsrr/unicmr

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Towards End-to-End Open Conversational Machine Reading

https://github.com/kevinz8866/epo

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EPO: Hierarchical LLM Agents with Environment Preference Optimization

https://github.com/kfu02/jaxmarl

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Capability-Aware Shared Hypernetworks for Flexible Heterogeneous Multi-Robot Coordination

https://github.com/kguo-cs/lsail

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LASIL: Learner-Aware Supervised Imitation Learning For Long-term Microscopic Traffic Simulation

https://github.com/khalil-research/neur2ro

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Deep Learning for Two-Stage Robust Integer Optimization

https://github.com/khalil-research/neur2sp

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Neur2SP: Neural Two-Stage Stochastic Programming

https://github.com/khanhptnk/hanna

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Help, Anna! Visual Navigation with Natural Multimodal Assistance via Retrospective Curiosity-Encouraging Imitation Learning

https://github.com/khanhptnk/iliad

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Interactive Learning from Activity Description

https://github.com/khanhtungtran/mgl4mep

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Multimodal Graph Learning for Modeling Emerging Pandemics with Big Data

https://github.com/kiakh93/Virtual_FFPE

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A generative adversarial approach to facilitate archival-quality histopathologic diagnoses from frozen tissue sections

https://github.com/killingbear999/iclstm

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Real-Time Machine-Learning-Based Optimization Using Input Convex Long Short-Term Memory Network

https://github.com/kittimatechulajata/predicting-outcomes-in-two-player-games-with-lstm

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Predicting Outcomes in Video Games with Long Short Term Memory Networks

https://github.com/kiymetkaya/xai-catboosted-anomale

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X-CBA: Explainability Aided CatBoosted Anomal-E for Intrusion Detection System

https://github.com/kkhetarpal/unrealwithattention

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Attend Before you Act: Leveraging human visual attention for continual learning

https://github.com/kkskkkskr/epd

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EPD: Long-term Memory Extraction, Context-awared Planning and Multi-iteration Decision @ EgoPlan Challenge ICML 2024

https://github.com/knowledgedefinednetworking/DRL-GNN

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Deep Reinforcement Learning meets Graph Neural Networks: exploring a routing optimization use case

https://github.com/konsfik/Pandemic-AI-Framework

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Playing Against the Board: Rolling Horizon Evolutionary Algorithms Against Pandemic

https://github.com/konstantinhess/G_transformer

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G-Transformer for Conditional Average Potential Outcome Estimation over Time

https://github.com/konstantinhess/bayesian-neural-cde

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Bayesian Neural Controlled Differential Equations for Treatment Effect Estimation

https://github.com/koo-ec/owf_repair_action_recommender

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A Deep Learning Framework for Wind Turbine Repair Action Prediction Using Alarm Sequences and Long Short Term Memory Algorithms

https://github.com/koriavinash1/BioExp

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Abstracting Deep Neural Networks into Concept Graphs for Concept Level Interpretability

https://github.com/kovalalvi/beira

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fMRI from EEG is only Deep Learning away: the use of interpretable DL to unravel EEG-fMRI relationships

https://github.com/kozodoi/Fair_Credit_Scoring

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Fairness in Credit Scoring: Assessment, Implementation and Profit Implications

https://github.com/kpdonahue/benefits_harms_joint_decision_making

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When Are Two Lists Better than One?: Benefits and Harms in Joint Decision-making

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