Papers with Code 아카이브

model

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

0

평가표

0

보존된 평가 기록

0

코드

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

https://github.com/rebnej/libra

공식 코드

Model-Agnostic Gender Debiased Image Captioning

https://github.com/recusant7/gan_secom

공식 코드

Evolving Semantic Communication with Generative Model

https://github.com/redlessme/transmission-bvm

공식 코드

Transmission-Guided Bayesian Generative Model for Smoke Segmentation

https://github.com/redwoodresearch/rust_circuit_public

공식 코드

Localizing Model Behavior with Path Patching

https://github.com/reliable-ai/fairml-multiverse

공식 코드

One Model Many Scores: Using Multiverse Analysis to Prevent Fairness Hacking and Evaluate the Influence of Model Design Decisions

https://github.com/renll/RSAM

공식 코드

Recurrent Soft Attention Model for Common Object Recognition

https://github.com/renll/sparselt

공식 코드

Language Model Pre-Training with Sparse Latent Typing

https://github.com/restuccia-group/entropyr

공식 코드

Resilience of Entropy Model in Distributed Neural Networks

https://github.com/richard-guyunqi/BlenderGym-Open

공식 코드

BlenderGym: Benchmarking Foundational Model Systems for Graphics Editing

https://github.com/richard759/fetsmcs

공식 코드

fETSmcs: Feature-based ETS model component selection

https://github.com/richardbaihe/robustlm

공식 코드

Better Language Model with Hypernym Class Prediction

https://github.com/ricsinaruto/meg-transfer-decoding

공식 코드

Foundational GPT Model for MEG

https://github.com/riflezhang/llava-reasoner-dpo

공식 코드

Improve Vision Language Model Chain-of-thought Reasoning

https://github.com/rktamplayo/AutoSense

공식 코드

AutoSense Model for Word Sense Induction

https://github.com/rktamplayo/MicroASM

공식 코드

Aspect Sentiment Model for Micro Reviews

https://github.com/rmbpo-eval/rmbpo-eval

공식 코드

Robust Model-Based Reinforcement Learning with an Adversarial Auxiliary Model

https://github.com/roadcross-assistant/Project

공식 코드

A Dataset and Model for Crossing Indian Roads

https://github.com/roatienza/efficientspeech

공식 코드

EfficientSpeech: An On-Device Text to Speech Model

https://github.com/robinjw/dma_model

공식 코드

Electromagnetic Based Communication Model for Dynamic Metasurface Antennas

https://github.com/romina72/paml

공식 코드

Policy-Aware Model Learning for Policy Gradient Methods

https://github.com/rommeoijcai2019/rommeo

공식 코드

A Regularized Opponent Model with Maximum Entropy Objective

https://github.com/roshnigiyer/nmm

공식 코드

Non-Euclidean Mixture Model for Social Network Embedding

https://github.com/rowedenny/MULTR

공식 코드

Model-based Unbiased Learning to Rank

https://github.com/royabel/top-down-networks

공식 코드

Biologically-Motivated Learning Model for Instructed Visual Processing

https://github.com/rssalessio/modelfreeactivateexplorationrl

공식 코드

Model-Free Active Exploration in Reinforcement Learning

https://github.com/ruc-gsai/yulan-chat

공식 코드

YuLan: An Open-source Large Language Model

https://github.com/ruc-gsai/yulan-mini

공식 코드

YuLan-Mini: An Open Data-efficient Language Model

https://github.com/rudazhang/gpsr

공식 코드

Gaussian Process Subspace Regression for Model Reduction

https://github.com/rutgerswiselab/genrec

공식 코드

GenRec: Large Language Model for Generative Recommendation

https://github.com/ruthless-man/awesome-learn-from-model

공식 코드

Learn From Model Beyond Fine-Tuning: A Survey

https://github.com/rvl-lab-utoronto/dibs

공식 코드

Diversity inducing Information Bottleneck in Model Ensembles

https://github.com/rwth-i6/returnn

공식 코드

Librispeech Transducer Model with Internal Language Model Prior Correction

https://github.com/rwth-i6/returnn-experiments/tree/master/2021-transducer

공식 코드

Librispeech Transducer Model with Internal Language Model Prior Correction

https://github.com/ryanburnell/revealing-llm-capabilities

공식 코드

Revealing the structure of language model capabilities

https://github.com/ryanhlewis/computegpteval

공식 코드

ComputeGPT: A computational chat model for numerical problems

https://github.com/ryoryon66/taam

공식 코드

Theme Aspect Argumentation Model for Handling Fallacies

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