Label-free Concept Bottleneck Models
- Tuomas Oikarinen
- Subhro Das
- et al.
- 2023
- ICLR 2023
Conference paper
Publications
1651 results for Machine Learning
Symmetries, flat minima, and the conserved quantities of gradient flow
- Bo Zhao
- Iordan Ganev
- et al.
- 2023
- ICLR 2023
Conference paperWhat Is Missing in IRM Training and Evaluation? Challenges and Solutions
- Yihua Zhang
- Pranay Sharma
- et al.
- 2023
- ICLR 2023
Conference paperMin-Max Multi-objective Bilevel Optimization with Applications in Robust Machine Learning
- Alex Gu
- Songtao Lu
- et al.
- 2023
- ICLR 2023
Conference paperSingle-shot General Hyper-parameter Optimization for Federated Learning
- Yi Zhou
- Parikshit Ram
- et al.
- 2023
- ICLR 2023
Conference paperQAID: Question Answering Inspired Few-shot Intent Detection
- Asaf Yehudai
- Matan Vetzler
- et al.
- 2023
- ICLR 2023
Conference paperFedExP: Speeding up Federated Averaging via Extrapolation
- Divyansh Jhunjhunwala
- Shiqiang Wang
- et al.
- 2023
- ICLR 2023
Conference paperUnderstanding new tasks through the lens of training data via exponential tilting
- Subha Maity
- Mikhail Yurochkin
- et al.
- 2023
- ICLR 2023
Conference paperGraph Neural Network-Inspired Kernels for Gaussian Processes in Semi-Supervised Learning
- Zehao Niu
- Mihai Anitescu
- et al.
- 2023
- ICLR 2023
Conference paperSampling with Mollified Interaction Energy Descent
- Lingxiao Li
- Qiang Liu
- et al.
- 2023
- ICLR 2023
Conference paper