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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/jano1906/TokenRecycling

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TORE: Token Recycling in Vision Transformers for Efficient Active Visual Exploration

https://github.com/jaromiru/cwcf

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Classification with Costly Features using Deep Reinforcement Learning

https://github.com/jarrycyx/unn

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CUTS+: High-dimensional Causal Discovery from Irregular Time-series

https://github.com/jasoneramirez/collectivece

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Generating collective counterfactual explanations in score-based classification via mathematical optimization

https://github.com/jasonlim131/looksRdeceiving

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Measuring Agreeableness Bias in Multimodal Models

https://github.com/jasonma2016/smodice

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Versatile Offline Imitation from Observations and Examples via Regularized State-Occupancy Matching

https://github.com/jasonrute/lean-proof-recording-public

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Proof Artifact Co-training for Theorem Proving with Language Models

https://github.com/jasonrute/lean_proof_recording

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Proof Artifact Co-training for Theorem Proving with Language Models

https://github.com/javiersgjavi/costi

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CoSTI: Consistency Models for (a faster) Spatio-Temporal Imputation

https://github.com/jayLEE0301/vq_bet_official

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Behavior Generation with Latent Actions

https://github.com/jayabrata97/Deep-Attention-Driven-Reinforccement-Learning-DAD-RL

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Deep Attention Driven Reinforcement Learning (DAD-RL) for Autonomous Decision-Making in Dynamic Environment

https://github.com/jayman91/ltr-predopt

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Decision-Focused Learning: Through the Lens of Learning to Rank

https://github.com/jayneelparekh/flint

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A Framework to Learn with Interpretation

https://github.com/jayparanjape/m-cd

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A Mamba-based Siamese Network for Remote Sensing Change Detection

https://github.com/jdchang1/milo

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Mitigating Covariate Shift in Imitation Learning via Offline Data Without Great Coverage

https://github.com/jdh-algo/Citrus

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Citrus: Leveraging Expert Cognitive Pathways in a Medical Language Model for Advanced Medical Decision Support

https://github.com/jdieber/WhyModelWhy

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Why model why? Assessing the strengths and limitations of LIME

https://github.com/jeffhj/lm-reasoning

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Towards Reasoning in Large Language Models: A Survey

https://github.com/jeffnclark/trace

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TraCE: Trajectory Counterfactual Explanation Scores

https://github.com/jellychen7/alemo

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Machine Learning-Accelerated Multi-Objective Design of Fractured Geothermal Systems

https://github.com/jennyqsun/EEG-Decision-SincNet

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Decision SincNet: Neurocognitive models of decision making that predict cognitive processes from neural signals

https://github.com/jeremy-qin/medical_confidence_elicitation

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Enhancing Healthcare LLM Trust with Atypical Presentations Recalibration

https://github.com/jeremyalain/imitation_learning_from_language_feedback

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Training Language Models with Language Feedback at Scale

https://github.com/jesse-michael-han/lean-step-public

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Proof Artifact Co-training for Theorem Proving with Language Models

https://github.com/jethrojames/tuned

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Trusted Unified Feature-Neighborhood Dynamics for Multi-View Classification

https://github.com/jgehrcke/covid-19-germany-gae

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Data-Driven Methods to Monitor, Model, Forecast and Control Covid-19 Pandemic: Leveraging Data Science, Epidemiology and Control Theory

https://github.com/jgonsior/ImitAL

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ImitAL: Learning Active Learning Strategies from Synthetic Data

https://github.com/jhejna/remix

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Re-Mix: Optimizing Data Mixtures for Large Scale Imitation Learning

https://github.com/jhliu0807/agentcf-plus

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AgentCF++: Memory-enhanced LLM-based Agents for Popularity-aware Cross-domain Recommendations

https://github.com/ji-youn-kim/ehrnoteqa

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EHRNoteQA: An LLM Benchmark for Real-World Clinical Practice Using Discharge Summaries

https://github.com/jiabei-yang/CIT

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Causal Interaction Trees: Tree-Based Subgroup Identification for Observational Data

https://github.com/jiachenwestlake/MMKD

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Adversarial Moment-Matching Distillation of Large Language Models

https://github.com/jiahaoxun/imrec

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Why Do We Click: Visual Impression-aware News Recommendation

https://github.com/jiangnanhugo/vsr-dpg

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Vertical Symbolic Regression via Deep Policy Gradient

https://github.com/jiaruzouu/prb

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PageRank Bandits for Link Prediction

https://github.com/jiayuzou2020/hft

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HFT: Lifting Perspective Representations via Hybrid Feature Transformation

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