Asia
Generalizable One-shot 3D Neural Head Avatar
We present a method that reconstructs and animates a 3D head avatar from a single-view portrait image.
Federated Graph Learning for Cross-Domain Recommendation Ziqi Y ang
Cross-domain recommendation (CDR) offers a promising solution to the data sparsity problem by enabling knowledge transfer between source and target domains. However, many recent CDR models overlook crucial issues such as privacy as well as the risk of negative transfer (which negatively impact model performance), especially in multi-domain settings.
Connecting Pre-trained Language Models and Downstream Tasks via Properties of Representations
Recently, researchers have found that representations learned by large-scale pre-trained language models are useful in various downstream tasks.
Optimization Can Learn Johnson Lindenstrauss Embeddings
Embeddings play a pivotal role across various disciplines, offering compact representations of complex data structures.
ContiFormer: Continuous-Time Transformer for Irregular Time Series Modeling Y uqi Chen
The work was conducted during the internship of Y uqi Chen and Y uchen Fang at Microsoft Research.
