04

2022 April

Full List of papers - updated weekly

• 3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data (Seungwook)
• SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks (Seungwook)
• Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time (Seungwook)
• What is being transferred in transfer learning? (Seungwook)
• Industrial Style Transfer with Large-scale Geometric Warping and Content Preservation (Sohyun)
• Rethinking Semantic Segmentation: A Prototype View (Sohyun)
• OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks (Seungwook)
• Rich feature hierarchies for accurate object detection and semantic segmentation (Seungwook)
• Fast R-CNN (Seungwook)
• Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks (Seungwook)
• Semantic-Aware Domain Generalized Segmentation (Sohyun)
• MR-GNN: Multi-Resolution and Dual Graph Neural Network for PRedicting Structured Entity Interactions (JiYe)
• Communicative Representation Learning on attributed molecular graphs (JiYe)
• Type-aware anchor link prediction across heterogeneous networks based on graph attention network (JiYe)
• Multi-hop Attention Graph neural networks (JiYe)