Foundations and Applications in Large-scale AI Models: Pre-training, Fine-tuning, and Prompt-based Learning
- Derek Cheng
- Dhaval Patel
- et al.
- 2023
- KDD 2023
Publications
810 results for Foundation Models
MaxCorrMGNN: A Multi-Graph Neural Framework for Generalized Multimodal Fusion of Medical Data for Outcome Prediction
- Niharika DSouza
- Hongzhi Wang
- et al.
- 2023
- ICML 2023
Winning a Competition of Satellite Image Analysis
- Daiki Kimura
- Tatsuya Ishikawa
- et al.
- 2023
- MIRU 2023
Unifying Molecular and Textual Representations via Multi-task Language Modelling
- Dimitrios Christofidellis
- Giorgio Giannone
- et al.
- 2023
- ICML 2023
Probabilistic Attention-to-Influence Neural Models for Event Sequences
- Xiao Shou
- Debarun Bhattacharjya
- et al.
- 2023
- ICML 2023
On Robustness-Accuracy Characterization of Large Language Models using Synthetic Datasets
- Ching-yun Ko
- Pin-Yu Chen
- et al.
- 2023
- ICML 2023
The 2nd Workshop on New Frontiers in Adversarial Machine Learning
- Sijia Liu
- Pin-Yu Chen
- et al.
- 2023
- ICML 2023
Which Features are Learnt by Contrastive Learning? On the Role of Simplicity Bias in Class Collapse and Feature Suppression
- Yihao Xue
- Siddharth Joshi
- et al.
- 2023
- ICML 2023
Simple Disentanglement of Style and Content in Visual Representations
- Lilian Ngweta
- Subha Maity
- et al.
- 2023
- ICML 2023
Hierarchical Grammar-Induced Geometry for Data-Efficient Molecular Property Prediction
- Minghao Guo
- Veronika Thost
- et al.
- 2023
- ICML 2023