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

https://github.com/julianknodt/structural_dropout

공식 코드

Structural Dropout for Model Width Compression

https://github.com/juliansester/robust-portfolio-optimization

공식 코드

Markov Decision Processes under Model Uncertainty

https://github.com/junhua-liao/light-asd

공식 코드

A Light Weight Model for Active Speaker Detection

https://github.com/junming-yang/moan

공식 코드

Model-based Offline Policy Optimization with Adversarial Network

https://github.com/juntongkuki/birkhoff-model-compression

공식 코드

Compress Any Segment Anything Model (SAM)

https://github.com/juntongkuki/hyper-compression

공식 코드

Hyper-Compression: Model Compression via Hyperfunction

https://github.com/junwenchen/GAP_SRAM

공식 코드

Group Activity Prediction with Sequential Relational Anticipation Model

https://github.com/jwaladhamala/BO-GVAE

공식 코드

Bayesian Optimization on Large Graphs via a Graph Convolutional Generative Model: Application in Cardiac Model Personalization

https://github.com/jwoo5/fairseq-signals

공식 코드

ECG-FM: An Open Electrocardiogram Foundation Model

https://github.com/jxmorris12/vec2text

공식 코드

Language Model Inversion

https://github.com/jych/nips2015_vrnn

공식 코드

A Recurrent Latent Variable Model for Sequential Data

https://github.com/jyopari/compatible_specialization

공식 코드

Collective Model Intelligence Requires Compatible Specialization

https://github.com/jzhang38/tinyllama

공식 코드

TinyLlama: An Open-Source Small Language Model

https://github.com/jzhang538/badmerging

공식 코드

BadMerging: Backdoor Attacks Against Model Merging

https://github.com/jzhoulab/ddsm

공식 코드

Dirichlet Diffusion Score Model for Biological Sequence Generation

https://github.com/jzitovsky/sbv

공식 코드

Revisiting Bellman Errors for Offline Model Selection

https://github.com/kairawal/evaluating-model-explanations-without-ground-truth

공식 코드

Evaluating Model Explanations without Ground Truth

https://github.com/kairong-han/causal_agent

공식 코드

Causal Agent based on Large Language Model

https://github.com/kaist-lklab/gap

공식 코드

Gradient Ascent Post-training Enhances Language Model Generalization

https://github.com/kaistmm/seed-pytorch

공식 코드

SEED: Speaker Embedding Enhancement Diffusion Model

https://github.com/kananmahammadli/sllmbo

공식 코드

Sequential Large Language Model-Based Hyper-parameter Optimization

https://github.com/kantamasuki/rgdm

공식 코드

Generative diffusion model with inverse renormalization group flows

https://github.com/katzfuss-group/scaledVecchia

공식 코드

Scaled Vecchia approximation for fast computer-model emulation

https://github.com/kavosh8/Lip

공식 코드

Lipschitz Continuity in Model-based Reinforcement Learning

https://github.com/kazuyanagimoto/unitdid

공식 코드

On Causal Inference with Model-Based Outcomes

https://github.com/kcarnold/counterfactual-lm

공식 코드

Counterfactual Language Model Adaptation for Suggesting Phrases

https://github.com/keiserlab/exceiver

공식 코드

A single-cell gene expression language model

https://github.com/kent0n-li/chatdoctor

공식 코드

ChatDoctor: A Medical Chat Model Fine-Tuned on a Large Language Model Meta-AI (LLaMA) Using Medical Domain Knowledge

https://github.com/kevin-thu/epona

공식 코드

Epona: Autoregressive Diffusion World Model for Autonomous Driving

https://github.com/kevinyaobytedance/llm_unlearn

공식 코드

Large Language Model Unlearning

https://github.com/keyonvafa/career-code

공식 코드

CAREER: A Foundation Model for Labor Sequence Data

https://github.com/keyonvafa/world-model-evaluation

공식 코드

Evaluating the World Model Implicit in a Generative Model

https://github.com/kiv-air/Czert

공식 코드

Czert -- Czech BERT-like Model for Language Representation

https://github.com/kkkls/evssm

공식 코드

Efficient Visual State Space Model for Image Deblurring

https://github.com/konstmish/opt_methods

공식 코드

MAST: Model-Agnostic Sparsified Training

https://github.com/koudounasalkis/voc2vec

공식 코드

voc2vec: A Foundation Model for Non-Verbal Vocalization

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