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Decision Making

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코드

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

https://github.com/nisargshah1999/glsformer

공식 코드

GLSFormer : Gated - Long, Short Sequence Transformer for Step Recognition in Surgical Videos

https://github.com/nitinkamra1992/FQA

공식 코드

Multi-agent Trajectory Prediction with Fuzzy Query Attention

https://github.com/nixtla/hierarchicalforecast

공식 코드

HierarchicalForecast: A Reference Framework for Hierarchical Forecasting in Python

https://github.com/nju-rl/glider

공식 코드

Divide and Conquer: Grounding LLMs as Efficient Decision-Making Agents via Offline Hierarchical Reinforcement Learning

https://github.com/nka77/dahitra

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Large-scale Building Damage Assessment using a Novel Hierarchical Transformer Architecture on Satellite Images

https://github.com/nkai-decision-team/llm-pysc2

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LLM-PySC2: Starcraft II learning environment for Large Language Models

https://github.com/nkees/active-learning-argument-strength

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Active Learning for Argument Strength Estimation

https://github.com/nlie2/triage

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TRIAGE: Ethical Benchmarking of AI Models Through Mass Casualty Simulations

https://github.com/nliulab/AutoScore-Imbalance

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AutoScore-Imbalance: An interpretable machine learning tool for development of clinical scores with rare events data

https://github.com/nliulab/autoscore-ordinal

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AutoScore-Ordinal: An interpretable machine learning framework for generating scoring models for ordinal outcomes

https://github.com/nliulab/balanceshap

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Balanced background and explanation data are needed in explaining deep learning models with SHAP: An empirical study on clinical decision making

https://github.com/nliulab/shapleyvic

공식 코드

A novel interpretable machine learning system to generate clinical risk scores: An application for predicting early mortality or unplanned readmission in a retrospective cohort study

https://github.com/nmattei/peerselection

공식 코드

Strategyproof Peer Selection using Randomization, Partitioning, and Apportionment

https://github.com/noahshinn024/reflexion

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Reflexion: Language Agents with Verbal Reinforcement Learning

https://github.com/noanonkes/Hallucination-Detection-in-LLMs

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Leveraging Graph Structures to Detect Hallucinations in Large Language Models

https://github.com/npnkhoi/mcts-lp

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Lookahead Pathology in Monte-Carlo Tree Search

https://github.com/nrel/rlc4clr

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Curriculum-based Reinforcement Learning for Distribution System Critical Load Restoration

https://github.com/nrhine1/deep_imitative_models

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Deep Imitative Models for Flexible Inference, Planning, and Control

https://github.com/nsaph-projects/weather2alert

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Optimizing Heat Alert Issuance with Reinforcement Learning

https://github.com/ntu-icg/fm-planner

공식 코드

FM-Planner: Foundation Model Guided Path Planning for Autonomous Drone Navigation

https://github.com/nudt-bi-marl/pmat

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PMAT: Optimizing Action Generation Order in Multi-Agent Reinforcement Learning

https://github.com/nuritci/fairttts

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FairTTTS: A Tree Test Time Simulation Method for Fairness-Aware Classification

https://github.com/nusdbsystem/ARM-Net

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ARM-Net: Adaptive Relation Modeling Network for Structured Data

https://github.com/nustm/semeval-2024_ecac

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SemEval-2024 Task 3: Multimodal Emotion Cause Analysis in Conversations

https://github.com/nuwansribandara/elemantra

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Elemantra: An End-to-End Automated Framework Empowered with AI and IoT for Tackling Human-Elephant Conflict in Elephant-Range Countries

https://github.com/nv-tlabs/padl

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PADL: Language-Directed Physics-Based Character Control

https://github.com/nvedant07/Fairness-Through-Robustness

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Fairness Through Robustness: Investigating Robustness Disparity in Deep Learning

https://github.com/nvedant07/effort_reward_fairness

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On the Long-term Impact of Algorithmic Decision Policies: Effort Unfairness and Feature Segregation through Social Learning

https://github.com/nvlabs/omnidrive

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OmniDrive: A Holistic Vision-Language Dataset for Autonomous Driving with Counterfactual Reasoning

https://github.com/nwbarendregt/DynamicDecisionCKEquations

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Analyzing dynamic decision-making models using Chapman-Kolmogorov equations

https://github.com/nyu-dl/WebNav

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End-to-End Goal-Driven Web Navigation

https://github.com/nyu-mll/ILF-for-code-generation

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Improving Code Generation by Training with Natural Language Feedback

https://github.com/nyukat/COVID-19_prognosis

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An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department

https://github.com/nyuolab/model_sensitivity

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Language Model Classifier Aligns Better with Physician Word Sensitivity than XGBoost on Readmission Prediction

https://github.com/o-l1ru1/behaviorchain

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How Far are LLMs from Being Our Digital Twins? A Benchmark for Persona-Based Behavior Chain Simulation

https://github.com/o4lc/sgf-blo

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Safe Gradient Flow for Bilevel Optimization

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