![]() ![]() States do this to get patients medicine they need quickly and easily. Historically, states have created very few restrictions on medical marijuana sales and use. Medical marijuana legalization is a step towards fully legalizing marijuana for recreational use. Generally, states legalize medical marijuana first. It is important to consider state and local laws and regulations. Unfortunately, although this may be the reality one day, it is not entirely the case today. Meaning, they have a license to legally sell marijuana to you at any time. One would think that all New Baltimore dispensaries and delivery services are legal. Medical and recreational marijuana legalization is now becoming a reality for most states. If you search the Internet or drive around New Baltimore, you may see a few New Baltimore dispensaries or delivery service vehicles. Quality Matters: Assessing cQA Pair Quality via Transductive Multi-View Learningĭiscrete Factorization Machines for Fast Feature-based RecommendationĮxploring User-Specific Information in Music RetrievalĮmbedding Factorization Models for Jointly Recommending Items and User Generated Lists.Share Tweet New Baltimore Dispensaries Medical and Recreational Marijuana Multi-modal Preference Modeling for Product SearchĬross-modal Moment Localization in Videos Venue Prediction for Social Images by Exploiting Rich Temporal Patterns in LBSNs Neural Compatibility Modeling with Attentive Knowledge Distillation TEM: Tree-enhanced Embedding Model for Explainable RecommendationĪ Personal Privacy Preserving Framework: I Let You Know Who Can See WhatĬhat More: Deepening and Widening the Chatting Topic via A Deep Model Supervised Hierarchical Cross-Modal Hashing User Attention-guided Multimodal Dialog Systems Prototype-guided Attribute-wise Interpretable Scheme for Clothing Matching Quantifying and Alleviating the Language Prior Problem in Visual Question Answering Seeking Micro-influencers for Brand PromotionĪttentive Long Short-Term Preference Modeling for Personalized Product Searchįrom Question to Text: Question-Oriented Feature Attention for Answer Selection ![]() User Diverse Preference Modeling by Multimodal Attentive Metric Learning MMGCN: Multi-modal Graph Convolution Network for Personalized Recommendation of Micro-video Personalized Hashtag Recommendation for Micro-videos Routing Micro-videos via A Temporal Graph-guided Recommendation System Virtually Trying on New Clothing with Arbitrary Poses Personalized Capsule Wardrobe Creation with Garment and User Modeling Multimodal Dialog System: Generating Responses via Adaptive Decoders Large-Scale Question Tagging via Joint Question-Topic Embedding Learning Generative Attribute Manipulation Scheme for Flexible Fashion Searchįashion Compatibility Modeling through a Multi-modal Try-on-guided Scheme Graph-Refined Convolutional Network for Multimedia Recommendation with Implicit FeedbackĬontext-Aware Multi-View Summarization Network for Image-Text Matching What Aspect Do You Like: Multi-scale Time-aware User Interest Modeling for Micro-video Recommendation Iterative Local-Global Collaboration Learning Towards One-Shot Video Person Re-Identificationįine-Grained Privacy Detection with Graph-Regularized Hierarchical Attentive Representation LearningĪn End-to-End Attention-Based Neural Model for Complementary Clothing Matching Neural Multimodal Cooperative Learning Toward Micro-Video Understanding Neural Compatibility Modeling With Probabilistic Knowledge Distillation Multimodal Activation: Awakening Dialog Robots without Wake Words Multimodal Dialog System: Relational Graph-based Context-aware Question UnderstandingĬollocation and Try-on Network: Whether an Outfit is CompatibleĬomplementary Factorization towards Outfit Compatibility Modelingįocal and Composed Vision-semantic Modeling for Visual Question answeringĭynamic Modality Interaction Modeling for Image-Text RetrievalĬomprehensive Linguistic-Visual Composition Network for Image RetrievalĪdversarial-Enhanced Hybrid Graph Network for User Identity Linkage ![]() Video Moment Localization via Deep Cross-Modal HashingĬoarse-to-Fine Semantic Alignment for Cross-Modal Moment Localization Question Tagging via Graph-guided Ranking User-controllable Recommendation Against Filter Bubblesĭynamic Graph Reasoning for Conversational Open-Domain Question Answering MMCoQA: Conversational Question Answering over Text, Tables, and Images Stacked Hybrid-Attention and Group Collaborative Learning for Unbiased Scene Graph Generation Loss Re-Scaling VQA: Revisiting the Language Prior Problem From a Class-Imbalance View Nie has released the following codes and data since 2016: Year A paper without accessible codes and data is a pure paper Otherwise, it is beyond a paper, maybe a work of art. ![]()
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