Pennington等(2014),Glove: Global vectors for word representation. In Proceedings of the 2014 conference on empirical methods in natural language processing (EMNLP) Qi等(2018),When and why are pre-trained word
Building computational systems that can communicate with humans using natural language has been a central goal for what we now think of as AI research. Understanding real, naturally occurring human language is the key to reaching this goal. This course will briefly survey the fundamental technical m...
7. LEIA: Latent View-invariant Embeddings for Implicit 3D Articulation LEIA, ECCV 2024 📄 Paper | 🌐 Project Page | 💻 Code Dataset: PartNet-Mobility Input: RGB Images Abstract Neural Radiance Fields (NeRFs) have revolutionized the reconstruction of static scenes and objects in 3D, offering...
such as by flattening nodes and edges into a text sequence, enabling their processing by LLMs for graph-based tasks [56, 6]. However, this method faces critical scalability issues. Converting a graph with thousands of nodes and edges into a text sequence...
Mixed sample data augmentation是一种在机器学习中常用的技术,它通过结合不同样本的特征来创建新的训练样本,从而提高模型的泛化能力和鲁棒性。以下是关于mixed sample...
In the feature-based approach, we load a pretrained LLM and apply it to our target dataset. Here, we are particularly interested in generating the output embeddings for the training set, which we can use as input features to train a classification model. While this approach is particularly com...