Papers with Code 아카이브
Decision Making
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/autonomousvision/CaRL
공식 코드CaRL: Learning Scalable Planning Policies with Simple Rewards
https://github.com/autonomousvision/king
공식 코드KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics Gradients
https://github.com/autonomousvision/neat
공식 코드NEAT: Neural Attention Fields for End-to-End Autonomous Driving
https://github.com/autonomousvision/plant
공식 코드PlanT: Explainable Planning Transformers via Object-Level Representations
https://github.com/autonomousvision/transfuser
공식 코드Multi-Modal Fusion Transformer for End-to-End Autonomous Driving
https://github.com/avakanski/creep-uncertainty-quantification
공식 코드https://github.com/avic3nna/joint-mtl-cpath
공식 코드Joint multi-task learning improves weakly-supervised biomarker prediction in computational pathology
https://github.com/avivne/bilinear-transduction
공식 코드https://github.com/awaisali37405/lstm---daemon-action
공식 코드Enhancing the Accuracy of Predictors of Activity Sequences of Business Processes
https://github.com/awav/conjugate-gradient-sparse-gp
공식 코드Numerically Stable Sparse Gaussian Processes via Minimum Separation using Cover Trees
https://github.com/awjuliani/neuro-nav
공식 코드Neuro-Nav: A Library for Neurally-Plausible Reinforcement Learning
https://github.com/axelabels/CDM_BIAS
공식 코드https://github.com/axelabels/fakenews
공식 코드Mitigating Biases in Collective Decision-Making: Enhancing Performance in the Face of Fake News
https://github.com/ayanglab/xai_covid-19
공식 코드Explainable COVID-19 Infections Identification and Delineation Using Calibrated Pseudo Labels
https://github.com/ayanmaj92/fair-nonbin-treatment
공식 코드A Causal Framework to Measure and Mitigate Non-binary Treatment Discrimination
https://github.com/ayanmaj92/fairall
공식 코드Don't Throw it Away! The Utility of Unlabeled Data in Fair Decision Making
https://github.com/aycignl/peak
공식 코드PEAK: Explainable Privacy Assistant through Automated Knowledge Extraction
https://github.com/aypan17/machiavelli
공식 코드https://github.com/azadsaeed/ecogen-ccd
공식 코드https://github.com/azamshoaib/drfuser
공식 코드Multi-Modal Fusion for Sensorimotor Coordination in Steering Angle Prediction
https://github.com/azarafrooz/FTNPL
공식 코드Follow the Neurally-Perturbed Leader for Adversarial Training
https://github.com/b-carter/SufficientInputSubsets
공식 코드What made you do this? Understanding black-box decisions with sufficient input subsets
https://github.com/babylonhealth/counterfactual-diagnosis
공식 코드https://github.com/bach1292/KDD_Cup_2019_LOLS_Team
공식 코드https://github.com/baeseongsu/ehrxqa
공식 코드https://github.com/baeseongsu/mimic-cxr-vqa
공식 코드https://github.com/baitingluo/l-map
공식 코드Scalable Decision-Making in Stochastic Environments through Learned Temporal Abstraction
https://github.com/baitingzbt/peda
공식 코드Scaling Pareto-Efficient Decision Making Via Offline Multi-Objective RL
https://github.com/baixuechunzi/llm-implicit-bias
공식 코드Measuring Implicit Bias in Explicitly Unbiased Large Language Models
https://github.com/baiyang4/Sjogrens_questionnaire
공식 코드https://github.com/bala93/marginloss
공식 코드Trust your neighbours: Penalty-based constraints for model calibration
https://github.com/baltaci-r/CulturedAgents
공식 코드Persona Inconstancy in Multi-Agent LLM Collaboration: Conformity, Confabulation, and Impersonation
https://github.com/banking-analytics-lab/multimodalfusionratings
공식 코드Multi-Modal Deep Learning for Credit Rating Prediction Using Text and Numerical Data Streams
https://github.com/bark-simulator/bark
공식 코드Counterfactual Policy Evaluation for Decision-Making in Autonomous Driving
https://github.com/bark-simulator/bark-ml
공식 코드Counterfactual Policy Evaluation for Decision-Making in Autonomous Driving
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.