Search Results for author:
Found 7 papers, 3 papers with code
A reaction network model of microscale liquid-liquid phase separation reveals effects of spatial dimension
After further analyzing the model, we find that it predicts that the space dimension induces qualitatively different features of LLPS which are consistent with recent experiments.
Joint-Embedding Predictive Architecture for Self-Supervised Learning of Mask Classification Architecture
In this work, we introduce Mask-JEPA, a self-supervised learning framework tailored for mask classification architectures (MCA), to overcome the traditional constraints associated with training segmentation models.
GrowOVER: How Can LLMs Adapt to Growing Real-World Knowledge?
In the real world, knowledge is constantly evolving, which can render existing knowledge-based datasets outdated.
Groupwise Query Specialization and Quality-Aware Multi-Assignment for Transformer-based Visual Relationship Detection
Groupwise Query Specialization trains a specialized query by dividing queries and relations into disjoint groups and directing a query in a specific query group solely toward relations in the corresponding relation group.
Ranked #1 on
Scene Graph Generation
on Visual Genome
CNG-SFDA: Clean-and-Noisy Region Guided Online-Offline Source-Free Domain Adaptation
Source-Free Domain Adaptation (SFDA) addresses this domain shift problem, aiming to adopt a trained model on the source domain to the target domain in a scenario where only a well-trained source model and unlabeled target data are available.
Addressing Negative Transfer in Diffusion Models
Through this, our approach addresses the issue of negative transfer in diffusion models by allowing for efficient computation of MTL methods.
SAICL: Student Modelling with Interaction-level Auxiliary Contrastive Tasks for Knowledge Tracing and Dropout Prediction
Knowledge tracing and dropout prediction are crucial for online education to estimate students' knowledge states or to prevent dropout rates.
