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

https://bitbucket.org/Cross_Product/optical_flow

공식 코드

A torus model for optical flow

https://bitbucket.org/RLinRL/intelligenttrainerpublic

공식 코드

Intelligent Trainer for Model-Based Reinforcement Learning

https://git.uwaterloo.ca/data-analytics-lab/symbolicgpt2

공식 코드

SymbolicGPT: A Generative Transformer Model for Symbolic Regression

https://github.com/0frett/po-uncertainty-benchmarking

공식 코드

Benchmarking Large Language Model Uncertainty for Prompt Optimization

https://github.com/20000yshust/Backdoor-Defense-Via-Suppressing-Model-Shortcuts

공식 코드

Backdoor Defense via Suppressing Model Shortcuts

https://github.com/7vik/mi_challenges_with_representations

공식 코드

Challenges in Mechanistically Interpreting Model Representations

https://github.com/AaronHeee/MEAL

공식 코드

MEAL: Multi-Model Ensemble via Adversarial Learning

https://github.com/AbhijeetKrishnan/aml-for-player-modeling

공식 코드

Towards Action Model Learning for Player Modeling

https://github.com/AfifaKhaled/Two-Independent-Teachers-are-Better-Role-Model

공식 코드

Two Independent Teachers are Better Role Model

https://github.com/AleksandarPetrov/tokenization-fairness

공식 코드

Language Model Tokenizers Introduce Unfairness Between Languages

https://github.com/AliaksandrSiarohin/first-order-model

공식 코드

First Order Motion Model for Image Animation

https://github.com/AlignmentResearch/scaling-llm-robustness-paper

공식 코드

Scaling Trends in Language Model Robustness

https://github.com/Amazingren/AnyIR

공식 코드

Restore Anything Model via Efficient Degradation Adaptation

https://github.com/Ascend-Research/Turtle

공식 코드

Learning Truncated Causal History Model for Video Restoration

https://github.com/Ata-Tuna/DAMCC_1.2

공식 코드

A Deep Autoregressive Model for Dynamic Combinatorial Complexes

https://github.com/BZX667/DMPO

공식 코드

Finetuning Large Language Model for Personalized Ranking

https://github.com/Babylonpartners/MCSG

공식 코드

Model Comparison for Semantic Grouping

https://github.com/BerivanIsik/SuRP

공식 코드

An Information-Theoretic Justification for Model Pruning

https://github.com/BestAnHongjun/GILM

공식 코드

Large model enhanced computational ghost imaging

https://github.com/BierOne/Attention-Faithfulness

공식 코드

Rethinking Attention-Model Explainability through Faithfulness Violation Test

https://github.com/BorealisAI/cross_domain_coherence

공식 코드

A Cross-Domain Transferable Neural Coherence Model

https://github.com/BorjaBalle/amplification-by-shuffling

공식 코드

The Privacy Blanket of the Shuffle Model

https://github.com/ByungKwanLee/CoLLaVO

공식 코드

CoLLaVO: Crayon Large Language and Vision mOdel

https://github.com/CMURobotAndVisualLearningLab/Pushing-Dataset

공식 코드

Object-centric Forward Modeling for Model Predictive Control

https://github.com/CVMI-Lab/TEXGen

공식 코드

TEXGen: a Generative Diffusion Model for Mesh Textures

https://github.com/CarstenEpic/humos

공식 코드

HUMOS: Human Motion Model Conditioned on Body Shape

https://github.com/CharlieLeee/Sharpness-Aware-Generalization

공식 코드

Model Generalization: A Sharpness Aware Optimization Perspective

https://github.com/ChenxiLiu-HNU/ST-LLM

공식 코드

Spatial-Temporal Large Language Model for Traffic Prediction

https://github.com/ChineseBest/AT-505

공식 코드

An Intelligent Model for Solving Manpower Scheduling Problems

https://github.com/ChunyuLiu188/SpectrumFM

공식 코드

SpectrumFM: A Foundation Model for Intelligent Spectrum Management

https://github.com/ChyaZhang/ChatTraffic

공식 코드

ChatTraffic: Text-to-Traffic Generation via Diffusion Model

https://github.com/CiscoCTA/nci_eval

공식 코드

On Model Evaluation under Non-constant Class Imbalance

https://github.com/CompVis/zigma

공식 코드

ZigMa: A DiT-style Zigzag Mamba Diffusion Model

https://github.com/CyberAgentAILab/annotation-efficient-po

공식 코드

Annotation-Efficient Preference Optimization for Language Model Alignment

https://github.com/CyberAgentAILab/layout-dm

공식 코드

LayoutDM: Discrete Diffusion Model for Controllable Layout Generation

https://github.com/DS3Lab/online-active-model-selection

공식 코드

Online Active Model Selection for Pre-trained Classifiers

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