https://github.com/tylerjthomas9/TabularNetworks.jl
TabTransformer: Tabular Data Modeling Using Contextual Embeddings
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Pre-training a neural network using unsupervised (self-supervised) auxiliary tasks on unlabeled data.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
TabTransformer: Tabular Data Modeling Using Contextual Embeddings
Unsupervised Vision-and-Language Pre-training Without Parallel Images and Captions
How far can we go without convolution: Improving fully-connected networks
SeCo: Exploring Sequence Supervision for Unsupervised Representation Learning
Reinforcement Learning with Action-Free Pre-Training from Videos
Don't Stop Pretraining? Make Prompt-based Fine-tuning Powerful Learner
Leveraging Pre-trained Checkpoints for Sequence Generation Tasks
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.