AUTOMATA: Gradient Based Data Subset Selection for Compute-Efficient Hyper-parameter Tuning
- Krishnateja Killamsetty
- Guttu Sai Abhishek
- et al.
- 2022
- NeurIPS 2022
Conference paper
Publications
97 results at NeurIPS 2022
Make an Omelette with Breaking Eggs: Zero-Shot Learning for Novel Attribute Synthesis
- Yu-Hsuan Li
- Tzu-Yin Chao
- et al.
- 2022
- NeurIPS 2022
Conference paperDeep Compression of Pre-trained Transformer Models
- Naigang Wang
- Chi-Chun Liu
- et al.
- 2022
- NeurIPS 2022
Conference paperFETA: Towards Specializing Foundational Models for Expert Task Applications
- Amit Alfassy
- Assaf Arbelle
- et al.
- 2022
- NeurIPS 2022
Conference paperRedeeming Intrinsic Rewards via Constrained Optimization
- Eric Chen
- Zhang-Wei Hong
- et al.
- 2022
- NeurIPS 2022
Conference paperFair Infinitesimal Jackknife: Mitigating the Influence of Biased Training Data Points Without Refitting
- Prasanna Sattigeri
- Soumya Ghosh
- et al.
- 2022
- NeurIPS 2022
Conference paperProcedural Image Programs for Representation Learning
- Manel Baradad
- Chun Fu Chen
- et al.
- 2022
- NeurIPS 2022
Conference paperHierarchical Lattice Layer for Partially Monotone Neural Networks
- Hiroki Yanagisawa
- Kohei Miyaguchi
- et al.
- 2022
- NeurIPS 2022
Conference paperHedging as Reward Augmentation in Probabilistic Graphical Models
- Debarun Bhattacharjya
- Radu Marinescu
- 2022
- NeurIPS 2022
Conference paperUnderstanding Benign Overfitting in Gradient-based Meta Learning
- Lisha Chen
- Songtao Lu
- et al.
- 2022
- NeurIPS 2022
Conference paper