https://github.com/zes0v0inn/dwt_eeg_reconstruction
공식 코드Category-aware EEG image generation based on wavelet transform and contrast semantic loss
Papers with Code 아카이브
Semantic Similarity
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 2
- 평가표
- 28
- 보존된 평가 기록
- 21
The main objective Semantic Similarity is to measure the distance between the semantic meanings of a pair of words, phrases, sentences, or documents. For example, the word “car” is more similar to “bus” than it is to “cat”. The two main approaches to measuring Semantic Similarity are knowledge-based approaches and corpus-based, distributional methods.
Source: Visual and Semantic Knowledge Transfer for Large Scale Semi-supervised Object Detection
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/zexuanqiu/hihpq
공식 코드HiHPQ: Hierarchical Hyperbolic Product Quantization for Unsupervised Image Retrieval
https://github.com/zhangy0822/user
공식 코드USER: Unified Semantic Enhancement with Momentum Contrast for Image-Text Retrieval
https://github.com/zhangyiqun018/avengers
공식 코드The Avengers: A Simple Recipe for Uniting Smaller Language Models to Challenge Proprietary Giants
https://github.com/zhaorui-tan/pdf-gan
공식 코드SSD: Towards Better Text-Image Consistency Metric in Text-to-Image Generation
https://github.com/zhaozh10/mcgip
공식 코드Mining Gaze for Contrastive Learning toward Computer-Assisted Diagnosis
https://github.com/ziliwang/MSnet-for-Gendered-Pronoun-Resolution
공식 코드https://github.com/zmzhang2000/MIGCN
공식 코드Multi-Modal Interaction Graph Convolutional Network for Temporal Language Localization in Videos
https://github.com/zukang-liao/context-sensitive-image-similarity
공식 코드Image Similarity using An Ensemble of Context-Sensitive Models
https://gitlab.com/guyemerson/pixie
공식 코드https://github.com/2023-MindSpore-1/ms-code-196
https://github.com/2023-MindSpore-1/ms-code-5/tree/main/emotect
ERNIE: Enhanced Representation through Knowledge Integration
https://github.com/2023-MindSpore-1/ms-code-5/tree/main/ernie
ERNIE: Enhanced Representation through Knowledge Integration
https://github.com/2023-MindSpore-1/ms-code-84
https://github.com/2024-MindSpore-1/Code2/tree/main/model-1/ernie
ERNIE: Enhanced Representation through Knowledge Integration
https://github.com/2024-MindSpore-1/Code2/tree/main/model-1/ernie_m
ERNIE: Enhanced Representation through Knowledge Integration
https://github.com/8023looker/med-rr
DataSculpt: Crafting Data Landscapes for Long-Context LLMs through Multi-Objective Partitioning
https://github.com/8023looker/versatune
DataSculpt: Crafting Data Landscapes for Long-Context LLMs through Multi-Objective Partitioning
https://github.com/Alexey-Borisov/3_course_diary
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
https://github.com/AnzorGozalishvili/sentence_transformers_serving
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
https://github.com/BM-K/KoSentenceBERT
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
https://github.com/BM-K/KoSentenceBERT_ETRI
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
https://github.com/BM-K/KoSentenceBERT_SKT
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
https://github.com/BM-K/KoSentenceBERT_SKTBERT
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
https://github.com/BinWang28/BERT_Sentence_Embedding
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
https://github.com/BinWang28/SBERT-WK-Sentence-Embedding
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
https://github.com/CatherineWong/dancin_seq2seq
TextBugger: Generating Adversarial Text Against Real-world Applications
https://github.com/ChristophReich1996/Semantic_Pyramid_for_Image_Generation
https://github.com/ClaudiuChelcea/2NHACK2021-CoverLetter-Generator-ML
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
https://github.com/Dahny/IN4325-Core-IR-Project
https://github.com/Danqi7/584-final
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
https://github.com/EmilReinert/DeepLearningPipelines
Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks
https://github.com/FreddeFrallan/Contrastive-Tension
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
https://github.com/FreddeFrallan/Multilingual-CLIP
https://github.com/IMPLabUniPr/UniParma-at-semeval-2021-task-5
https://github.com/INK-USC/AFET
Label Noise Reduction in Entity Typing by Heterogeneous Partial-Label Embedding
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.