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

https://github.com/buraksatar/car-detection-model-prediction

공식 코드

Deep Learning Based Vehicle Make-Model Classification

https://github.com/byungdoh/llm_decomposition

공식 코드

Token-wise Decomposition of Autoregressive Language Model Hidden States for Analyzing Model Predictions

https://github.com/cagatayyildiz/oderl

공식 코드

Continuous-Time Model-Based Reinforcement Learning

https://github.com/cake-lab/datafree-model-extraction

공식 코드

Data-Free Model Extraction

https://github.com/callsys/genpromp

공식 코드

Generative Prompt Model for Weakly Supervised Object Localization

https://github.com/cambridge-mlg/sgm

공식 코드

A Generative Model of Symmetry Transformations

https://github.com/casia-lm/mods

공식 코드

MoDS: Model-oriented Data Selection for Instruction Tuning

https://github.com/causalNLP/moralmachine

공식 코드

Language Model Alignment in Multilingual Trolley Problems

https://github.com/causalnlp/multitp

공식 코드

Language Model Alignment in Multilingual Trolley Problems

https://github.com/cdb342/dgz

공식 코드

Deconstructed Generation-Based Zero-Shot Model

https://github.com/cdebacco/SpringRank

공식 코드

A physical model for efficient ranking in networks

https://github.com/cdebacco/dynspringrank

공식 코드

A model for efficient dynamical ranking in networks

https://github.com/cgcl-codes/darksam

공식 코드

DarkSAM: Fooling Segment Anything Model to Segment Nothing

https://github.com/chaeyoon-jang/bomf

공식 코드

Model Fusion through Bayesian Optimization in Language Model Fine-Tuning

https://github.com/chandar-lab/amplify

공식 코드

Structure-Aligned Protein Language Model

https://github.com/chaneyddtt/Convolutional-Sequence-to-Sequence-Model-for-Human-Dynamics

공식 코드

Convolutional Sequence to Sequence Model for Human Dynamics

https://github.com/chaowenzheng/dynamic-network-quantile-model

공식 코드

Dynamic Network Quantile Regression Model

https://github.com/chenchenygu/auditing-prompt-caching

공식 코드

Auditing Prompt Caching in Language Model APIs

https://github.com/cheneyxuyimin/sam2dino-seg

공식 코드

DSU-Net:An Improved U-Net Model Based on DINOv2 and SAM2 with Multi-scale Cross-model Feature Enhancement

https://github.com/chenhaoxing/DiffUTE

공식 코드

DiffUTE: Universal Text Editing Diffusion Model

https://github.com/chenhaoxing/DiffusionInst

공식 코드

DiffusionInst: Diffusion Model for Instance Segmentation

https://github.com/chiangel/graphcm

공식 코드

A Graph-Enhanced Click Model for Web Search

https://github.com/chord-chen-30/uimer

공식 코드

Using Interpretation Methods for Model Enhancement

https://github.com/chq1155/A-Survey-on-Generative-Diffusion-Model

공식 코드

A Survey on Generative Diffusion Model

https://github.com/chrisqcwx/calor

공식 코드

CALoR: Towards Comprehensive Model Inversion Defense

https://github.com/cjreinforce/jowa

공식 코드

Scaling Offline Model-Based RL via Jointly-Optimized World-Action Model Pretraining

https://github.com/cjx96/loid

공식 코드

Enhancing Content-based Recommendation via Large Language Model

https://github.com/clarafy/autofocused_oracles

공식 코드

Autofocused oracles for model-based design

https://github.com/claude-liu/relm

공식 코드

Chinese Spelling Correction as Rephrasing Language Model

https://github.com/clearlyzerolxd/trdm

공식 코드

Two-stage Rainfall-Forecasting Diffusion Model

https://github.com/cleverhans-lab/entangled-watermark

공식 코드

Entangled Watermarks as a Defense against Model Extraction

https://github.com/clovaai/deep-text-recognition-benchmark

공식 코드

What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model Analysis

https://github.com/clovaai/rexnet

공식 코드

Rethinking Channel Dimensions for Efficient Model Design

https://github.com/clovaai/subword-qac

공식 코드

Subword Language Model for Query Auto-Completion

https://github.com/cmciris/romo

공식 코드

ROMO: Retrieval-enhanced Offline Model-based Optimization

https://github.com/cmnfriend/o-lora

공식 코드

Orthogonal Subspace Learning for Language Model Continual Learning

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