https://github.com/apple2373/PyTorch-SmallGAN
Image Generation From Small Datasets via Batch Statistics Adaptation
Papers with Code 아카이브
Common Sense Reasoning
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 17
- 평가표
- 24
- 보존된 평가 기록
- 397
Common sense reasoning tasks are intended to require the model to go beyond pattern recognition. Instead, the model should use "common sense" or world knowledge to make inferences.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/areffarhadi/mamba-asr
Mamba: Linear-Time Sequence Modeling with Selective State Spaces
https://github.com/arielsho/decomposition-table-reasoning
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/arkel23/PyTorch-Pretrained-ViT
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/asahi417/lm-question-generation
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
https://github.com/asahi417/lmppl
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
https://github.com/asahi417/relbert
pair2vec: Compositional Word-Pair Embeddings for Cross-Sentence Inference
https://github.com/asgaardlab/test-case-similarity-technique
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/athms/learning-from-brains
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/autobotasia/vibert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/avichaychriqui/HeBERT
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/avishek-018/single_notebook_projects
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/aws-samples/amazon-sagemaker-bert-pytorch
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/awslabs/mlm-scoring
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/babelscape/wikineural
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/baichuan-inc/Baichuan-Omni-1.5
https://github.com/baichuan-inc/baichuan-audio
https://github.com/baithebest/adagp
SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot
https://github.com/baithebest/sparsellm
SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot
https://github.com/baotramduong/Sentiment-Analysis-with-Deep-Learning-using-BERT
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/baotramduong/Twitter-Sentiment-Analysis-with-Deep-Learning-using-BERT
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/batsresearch/alfred
https://github.com/bayer-science-for-a-better-life/data2text-bioleaflets
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
https://github.com/bcaitech1/p2-klue-Heeseok-Jeong
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/bentoml/openllm
AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration
https://github.com/bentrevett/pytorch-sentiment-analysis
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/benywon/ChiQA
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/benywon/Chinese-GPT-2
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
https://github.com/benywon/ChineseBert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/benywon/ComQA
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/benywon/ReCO
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/beomi/koalpaca
https://github.com/bfopengradient/NLP_ROBERTA
https://github.com/bhavitvyamalik/bert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/bigai-nlco/cream
AR-Diffusion: Auto-Regressive Diffusion Model for Text Generation
https://github.com/bigcode-project/starcoder
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.