https://github.com/massquantity/LibRecommender
Large Scale Product Graph Construction for Recommendation in E-commerce
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
A methodology that involves selecting relevant data or examples from a large dataset to support tasks like prediction, learning, or inference. It enhances models by providing context or additional information, often used in systems like retrieval-augmented generation or in-context learning.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Large Scale Product Graph Construction for Recommendation in E-commerce
Localizing dexterous surgical tools in X-ray for image-based navigation
Building a Manga Dataset "Manga109" with Annotations for Multimedia Applications
A Regularized Conditional GAN for Posterior Sampling in Image Recovery Problems
Text2Shape: Generating Shapes from Natural Language by Learning Joint Embeddings
Chain-of-Skills: A Configurable Model for Open-domain Question Answering
Uncovering Hidden Challenges in Query-Based Video Moment Retrieval
From Unimodal to Multimodal: Scaling up Projectors to Align Modalities
Hybrid Style Siamese Network: Incorporating style loss in complementary apparels retrieval
Text2Tracks: Prompt-based Music Recommendation via Generative Retrieval
Med-HALT: Medical Domain Hallucination Test for Large Language Models
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Revisiting the Inverted Indices for Billion-Scale Approximate Nearest Neighbors
Improving Automatic Source Code Summarization via Deep Reinforcement Learning
Improving Automatic Source Code Summarization via Deep Reinforcement Learning
Latent Retrieval for Weakly Supervised Open Domain Question Answering
CodeSearchNet Challenge: Evaluating the State of Semantic Code Search
M3P: Learning Universal Representations via Multitask Multilingual Multimodal Pre-training
SCBench: A KV Cache-Centric Analysis of Long-Context Methods
Dissecting Deep Metric Learning Losses for Image-Text Retrieval
MosAIc: Finding Artistic Connections across Culture with Conditional Image Retrieval
Classification is a Strong Baseline for Deep Metric Learning
FreshDiskANN: A Fast and Accurate Graph-Based ANN Index for Streaming Similarity Search
From Local to Global: A Graph RAG Approach to Query-Focused Summarization
Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination
Scalable Zero-shot Entity Linking with Dense Entity Retrieval
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.