https://github.com/Somedaywilldo/AutoGCL
공식 코드AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Semantic textual similarity deals with determining how similar two pieces of texts are. This can take the form of assigning a score from 1 to 5. Related tasks are paraphrase or duplicate identification.
Image source: Learning Semantic Textual Similarity from Conversations
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators
Squeezed Attention: Accelerating Long Context Length LLM Inference
Contextualized Semantic Distance between Highly Overlapped Texts
Self-Supervised Image-to-Point Distillation via Semantically Tolerant Contrastive Loss
Cross-lingual Text Classification with Heterogeneous Graph Neural Network
Sentence Embedding Models for Ancient Greek Using Multilingual Knowledge Distillation
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
Explaining Neural Network Predictions on Sentence Pairs via Learning Word-Group Masks
InstructSAM: A Training-Free Framework for Instruction-Oriented Remote Sensing Object Recognition
Cross-Lingual Cross-Platform Rumor Verification Pivoting on Multimedia Content
Towards Bridging the Cross-modal Semantic Gap for Multi-modal Recommendation
Deep Metric Learning by Online Soft Mining and Class-Aware Attention
Does the Objective Matter? Comparing Training Objectives for Pronoun Resolution
Pcc-tuning: Breaking the Contrastive Learning Ceiling in Semantic Textual Similarity
Instance Similarity Learning for Unsupervised Feature Representation
Distilling Coarse-to-Fine Semantic Matching Knowledge for Weakly Supervised 3D Visual Grounding
Generating More Interesting Responses in Neural Conversation Models with Distributional Constraints
Longitudinal Data and a Semantic Similarity Reward for Chest X-Ray Report Generation
Semantic similarity prediction is better than other semantic similarity measures
NextLevelBERT: Masked Language Modeling with Higher-Level Representations for Long Documents
The Impact of Word Splitting on the Semantic Content of Contextualized Word Representations
Ditto: A Simple and Efficient Approach to Improve Sentence Embeddings
Text Representation Distillation via Information Bottleneck Principle
Exploring Key Point Analysis with Pairwise Generation and Graph Partitioning
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.