Papers with Code 아카이브

Decision Making

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

https://github.com/salesforce/warp-drive

공식 코드

WarpDrive: Extremely Fast End-to-End Deep Multi-Agent Reinforcement Learning on a GPU

https://github.com/samahkh/npb-rec

공식 코드

NPB-REC: Non-parametric Assessment of Uncertainty in Deep-learning-based MRI Reconstruction from Undersampled Data

https://github.com/samahkh/npbdreg_prj

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NPBDREG: Uncertainty Assessment in Diffeomorphic Brain MRI Registration using a Non-parametric Bayesian Deep-Learning Based Approach

https://github.com/samcohen16/Aligning-Time-Series

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Aligning Time Series on Incomparable Spaces

https://github.com/sampo-kuutti/adversarial-mixture-density-networks

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Adversarial Mixture Density Networks: Learning to Drive Safely from Collision Data

https://github.com/samuelstanton/conformal-bayesopt

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Bayesian Optimization with Conformal Prediction Sets

https://github.com/sang-woo-seo/pgib

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Interpretable Prototype-based Graph Information Bottleneck

https://github.com/sangjoon-park/medical_x-vl

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Self-supervised Multi-modal Training from Uncurated Image and Reports Enables Zero-shot Oversight Artificial Intelligence in Radiology

https://github.com/sanglinwei/se2e_dataset

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Safety-aware Semi-end-to-end Coordinated Decision Model for Voltage Regulation in Active Distribution Network

https://github.com/sanjaylopa22/FANTF

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Enhancing Time Series Forecasting with Fuzzy Attention-Integrated Transformers

https://github.com/sarah-keren/rlpe

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Explainable Reinforcement Learning via Model Transforms

https://github.com/sarahmart/llm-abs-armman-prediction

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LLM-based Agent Simulation for Maternal Health Interventions: Uncertainty Estimation and Decision-focused Evaluation

https://github.com/sarahwie/attention

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Attention is not not Explanation

https://github.com/sarapohland/explainable-competency

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Understanding the Dependence of Perception Model Competency on Regions in an Image

https://github.com/sarinasajadi/DeepGroup

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DeepGroup: Representation Learning for Group Recommendation with Implicit Feedback

https://github.com/sashayd/mat

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Jump to Conclusions: Short-Cutting Transformers With Linear Transformations

https://github.com/satyaborg/bnn-post-hoc

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Bayesian Neural Network Versus Ex-Post Calibration For Prediction Uncertainty

https://github.com/saurabac/Wasserstein-Data-Markets

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Wasserstein Markets for Differentially-Private Data

https://github.com/saurabhhssaurabh/reviews_summarization

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MRCBert: A Machine Reading ComprehensionApproach for Unsupervised Summarization

https://github.com/sautenich/uav-vla

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UAV-VLA: Vision-Language-Action System for Large Scale Aerial Mission Generation

https://github.com/sbb03124/Explainable-AI-for-Ship-Collision-Avoidance-Decoding-Decision-Making-Processes-and-Behavioral-Inten

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Explainable AI for Ship Collision Avoidance: Decoding Decision-Making Processes and Behavioral Intentions

https://github.com/sbhakim/ansr-dt

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ANSR-DT: An Adaptive Neuro-Symbolic Learning and Reasoning Framework for Digital Twins

https://github.com/sbhattacharyay/ordinal_GOSE_prediction

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The leap to ordinal: detailed functional prognosis after traumatic brain injury with a flexible modelling approach

https://github.com/scale-lab/politune

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PoliTune: Analyzing the Impact of Data Selection and Fine-Tuning on Economic and Political Biases in Large Language Models

https://github.com/schmidtjonathan/climate2weather

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A Generative Framework for Probabilistic, Spatiotemporally Coherent Downscaling of Climate Simulation

https://github.com/scientific-computing-lab-nrcn/multi-view-explainability

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Explainable Multi-View Deep Networks Methodology for Experimental Physics

https://github.com/sclbd/accelerated-lpbox-admm

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Learning to Accelerate Approximate Methods for Solving Integer Programming via Early Fixing

https://github.com/scnu-rislab/overlapmamba

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OverlapMamba: Novel Shift State Space Model for LiDAR-based Place Recognition

https://github.com/scope-lab-vu/PAMCTS

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Decision Making in Non-Stationary Environments with Policy-Augmented Search

https://github.com/scope-lab-vu/ada-mcts

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Act as You Learn: Adaptive Decision-Making in Non-Stationary Markov Decision Processes

https://github.com/scope-lab-vu/ns_gym

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NS-Gym: Open-Source Simulation Environments and Benchmarks for Non-Stationary Markov Decision Processes

https://github.com/scottemmons/sgm

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Sparse Graphical Memory for Robust Planning

https://github.com/sdfk72auga1kwsi/aalf

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AALF: Almost Always Linear Forecasting

https://github.com/se7esx/eib

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Understanding the Information Propagation Effects of Communication Topologies in LLM-based Multi-Agent Systems

https://github.com/seanjia/cotpc

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Chain-of-Thought Predictive Control

https://github.com/seanjia/gsl

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Improving Policy Optimization with Generalist-Specialist Learning

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