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/jageshmaharjan/BERT_Service

Semi-supervised Sequence Learning

https://github.com/jaketae/conformer

Conformer: Convolution-augmented Transformer for Speech Recognition

https://github.com/jaketae/pytorch-malware-detection

DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

https://github.com/jaketae/realformer

RealFormer: Transformer Likes Residual Attention

https://github.com/jamestjw/OCR

Evaluating Sequence-to-Sequence Models for Handwritten Text Recognition

https://github.com/jangjoongkeon/JK

Semi-supervised Sequence Learning

https://github.com/jannenev/ulmfit-language-model

Universal Language Model Fine-tuning for Text Classification

https://github.com/jarfo/kchar

Character-Aware Neural Language Models

https://github.com/jasonshaoshun/amsal

An Empirical Survey of the Effectiveness of Debiasing Techniques for Pre-trained Language Models

https://github.com/jayleicn/ClipBERT

Revealing Single Frame Bias for Video-and-Language Learning

https://github.com/jaywonchung/BERT4Rec-VAE-Pytorch

Variational Autoencoders for Collaborative Filtering

https://github.com/jb1999/eesen

First-Pass Large Vocabulary Continuous Speech Recognition using Bi-Directional Recurrent DNNs

https://github.com/jb33k/awd-lstm-lm-ThinkNet

Improving Neural Language Models with a Continuous Cache

https://github.com/jbeno/sentiment

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

https://github.com/jcblaisecruz02/Filipino-Text-Benchmarks

Evaluating Language Model Finetuning Techniques for Low-resource Languages

https://github.com/jctian98/e2e_lfmmi

Improving Mandarin End-to-End Speech Recognition with Word N-gram Language Model

https://github.com/jeffreyruffolo/AntiBERTy

Deciphering antibody affinity maturation with language models and weakly supervised learning

https://github.com/jellyfish042/rwkv-statetuning

GPT Understands, Too

https://github.com/jennhu/reflexive-anaphor-licensing

Targeted Syntactic Evaluation of Language Models

https://github.com/jeongukjae/smaller-labse

Language-agnostic BERT Sentence Embedding

https://github.com/jerrodparker20/adaptive-transformers-in-rl

Adaptive Attention Span in Transformers

https://github.com/jfisher52/influence_theory

Pointer Sentinel Mixture Models

https://github.com/jhave/RERITES-AvgWeightDescentLSTM-PoetryGeneration

Improving Neural Language Models with a Continuous Cache

https://github.com/jiamingkong/infoxlm_paddle

InfoXLM: An Information-Theoretic Framework for Cross-Lingual Language Model Pre-Training

https://github.com/jiangyingjunn/i-darts

DARTS: Differentiable Architecture Search

https://github.com/jiangyitong/AutoDIR

AutoDIR: Automatic All-in-One Image Restoration with Latent Diffusion

https://github.com/jiaruncao/BioCopyMechanism

MASS: Masked Sequence to Sequence Pre-training for Language Generation

https://github.com/jiean001/models_m/tree/main/transformer_xl

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

https://github.com/jincan333/lot

Recurrent Neural Network Regularization

https://github.com/jindongjiang/slotssms

Mamba: Linear-Time Sequence Modeling with Selective State Spaces

https://github.com/jingyaogong/minimind

Mixtral of Experts

https://github.com/jinhxu/how-much-hate-with-china

TweetEval: Unified Benchmark and Comparative Evaluation for Tweet Classification

https://github.com/jinzhenfan/BERT

Semi-supervised Sequence Learning

https://github.com/jishubasak/Punny-Caption--Exploring-Image-Captioning

Where to put the Image in an Image Caption Generator

https://github.com/jkooy/NAS-UDA

DARTS: Differentiable Architecture Search

https://github.com/jlamprou/Fourier-Analysis-Networks-FAN

FAN: Fourier Analysis Networks

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