https://github.com/2000zrl/lcsa_c2slr_srm
공식 코드Improving Continuous Sign Language Recognition with Consistency Constraints and Signer Removal
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Improving Continuous Sign Language Recognition with Consistency Constraints and Signer Removal
ComStreamClust: a communicative multi-agent approach to text clustering in streaming data
Decoding Decoders: Finding Optimal Representation Spaces for Unsupervised Similarity Tasks
SBERT-WK: A Sentence Embedding Method by Dissecting BERT-based Word Models
SBERT-WK: A Sentence Embedding Method by Dissecting BERT-based Word Models
Hierarchical Attention: What Really Counts in Various NLP Tasks
Sentence Embeddings in NLI with Iterative Refinement Encoders
WhiteningBERT: An Easy Unsupervised Sentence Embedding Approach
ColBERT: Using BERT Sentence Embedding in Parallel Neural Networks for Computational Humor
Efficient Sentence Embedding using Discrete Cosine Transform
Sentence Embedding Models for Ancient Greek Using Multilingual Knowledge Distillation
Concatenated Power Mean Word Embeddings as Universal Cross-Lingual Sentence Representations
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
Natural Language Decompositions of Implicit Content Enable Better Text Representations
A Survey on Sentence Embedding Models Performance for Patent Analysis
A Comparative Study on Structural and Semantic Properties of Sentence Embeddings
Ditto: A Simple and Efficient Approach to Improve Sentence Embeddings
Learning Dialogue Representations from Consecutive Utterances
In-Context Example Selection via Similarity Search Improves Low-Resource Machine Translation
IPCGRL: Language-Instructed Reinforcement Learning for Procedural Level Generation
Just Rank: Rethinking Evaluation with Word and Sentence Similarities
Relational Sentence Embedding for Flexible Semantic Matching
InfoCSE: Information-aggregated Contrastive Learning of Sentence Embeddings
ESimCSE: Enhanced Sample Building Method for Contrastive Learning of Unsupervised Sentence Embedding
InfoCSE: Information-aggregated Contrastive Learning of Sentence Embeddings
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.