Papers with Code 아카이브

Language Modeling

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

https://github.com/nmfisher/bert-modified

Semi-supervised Sequence Learning

https://github.com/nocoolsandwich/pinyin_gen_error_sentence

Spelling Error Correction with Soft-Masked BERT

https://github.com/nocotan/born_again_neuralnet

Born Again Neural Networks

https://github.com/noise-field/Russian-ULMFit

Regularizing and Optimizing LSTM Language Models

https://github.com/nokia-bell-labs/papagei-foundation-model

AnyMAL: An Efficient and Scalable Any-Modality Augmented Language Model

https://github.com/noob-life/VAE-for-Collaborative-Filtering-Pytorch

Variational Autoencoders for Collaborative Filtering

https://github.com/noriyukipy/tfchat

The Curious Case of Neural Text Degeneration

https://github.com/noriyukipy/tfdlg

The Curious Case of Neural Text Degeneration

https://github.com/normal-computing/extended-mind-transformers

Memorizing Transformers

https://github.com/npuliyang/Personality-Detection-MTL

Multitask Learning for Emotion and Personality Detection

https://github.com/nunezpaul/MNIST

Breaking the Softmax Bottleneck: A High-Rank RNN Language Model

https://github.com/nus-hpc-ai-lab/dyvm

Mamba: Linear-Time Sequence Modeling with Selective State Spaces

https://github.com/nutellamok/advrush

DARTS: Differentiable Architecture Search

https://github.com/nvidia/transformerengine

Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism

https://github.com/nvlabs/vila

AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration

https://github.com/nx-ai/xlstm-jax

xLSTM: Extended Long Short-Term Memory

https://github.com/obi-ml-public/ehr_deidentification

RoBERTa: A Robustly Optimized BERT Pretraining Approach

https://github.com/octanove/shiba

RoBERTa: A Robustly Optimized BERT Pretraining Approach

https://github.com/oddguan/audio_visual_video_caption

Sequence to Sequence -- Video to Text

https://github.com/ofirpress/sandwich_transformer

Adaptive Attention Span in Transformers

https://github.com/oj9040/GraphSAGE_RL

DeepWalk: Online Learning of Social Representations

https://github.com/okanvk/ENELPI---Soru-Cevap-Sistemi

ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators

https://github.com/okanvk/Turkish-Reading-Comprehension-Question-Answering-Dataset

ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators

https://github.com/oki5656/Estimating_Distance

ESPNetv2: A Light-weight, Power Efficient, and General Purpose Convolutional Neural Network

https://github.com/okkteam/Transformer-Transducer

Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context

https://github.com/okuchaiev/f-lm

Exploring the Limits of Language Modeling

https://github.com/oleehyo/texteller

TrOCR: Transformer-based Optical Character Recognition with Pre-trained Models

https://github.com/om00839/machine-suneung

Multi-Task Deep Neural Networks for Natural Language Understanding

https://github.com/omerlux/NLP-PTB

Breaking the Softmax Bottleneck: A High-Rank RNN Language Model

https://github.com/omerlux/Recurrent_Neural_Network_-_Part_2

Breaking the Softmax Bottleneck: A High-Rank RNN Language Model

https://github.com/oneflow-inc/libai

RoBERTa: A Robustly Optimized BERT Pretraining Approach

https://github.com/onehaitao/R-BERT-relation-extraction

Enriching Pre-trained Language Model with Entity Information for Relation Classification

https://github.com/oneil512/lstmn

Long Short-Term Memory-Networks for Machine Reading

https://github.com/ongunuzaymacar/comparatively-finetuning-bert

How to Fine-Tune BERT for Text Classification?

https://github.com/onurboyar/RecommenderSystems

Variational Autoencoders for Collaborative Filtering

https://github.com/oooranz/baby-cothought

Call for Papers -- The BabyLM Challenge: Sample-efficient pretraining on a developmentally plausible corpus

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