https://github.com/AlibabaResearch/DAMO-ConvAI/tree/main/pace
공식 코드PaCE: Unified Multi-modal Dialogue Pre-training with Progressive and Compositional Experts
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Intent recognition on multimodal content.
Image source: MIntRec: A New Dataset for Multimodal Intent Recognition
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
PaCE: Unified Multi-modal Dialogue Pre-training with Progressive and Compositional Experts
Speech-Text Dialog Pre-training for Spoken Dialog Understanding with Explicit Cross-Modal Alignment
ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Token-Level Contrastive Learning with Modality-Aware Prompting for Multimodal Intent Recognition
MMDialog: A Large-scale Multi-turn Dialogue Dataset Towards Multi-modal Open-domain Conversation
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.