A Practical Near Optimal Deployment of Service Function Chains in Edge-to-Cloud Networks
- Rasoul Behravesh
- David Breitgand
- et al.
- 2024
- INFOCOM 2024
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Unraveling the Key Components of OOD Generalization via Diversification
- Harold Benoit
- Liangze Jiang
- et al.
- 2024
- ICLR 2024
Never Train from Scratch: Fair Comparison of Long-Sequence Models Requires Data-Driven Priors
- Ido Amos
- Jonathan Berant
- et al.
- 2024
- ICLR 2024
SalUn: Empowering Machine Unlearning via Gradient-Based Weight Saliency in Both Image Classification and Generation
- Chongyu Fan
- Jiancheng Liu
- et al.
- 2024
- ICLR 2024
A Probabilistic Framework for Modular Continual Learning
- Lazar Valkov
- Akash Srivastava
- et al.
- 2024
- ICLR 2024
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
- Akari Asai
- Zeqiu Wu
- et al.
- 2024
- ICLR 2024
Isogeny problems with level structure
- Luca De Feo
- Tako Boris Fouotsa
- et al.
- 2024
- Eurocrypt 2024
High-Resolution WRF Wind Field Dataset for GHG Applications: Navigating Computational Challenges in Energy Research
- Karthik Mukkavilli
- W. Trojak
- et al.
- 2023
- AGU Fall 2023
Model Sparsity Can Simplify Machine Unlearning
- Jinghan Jia
- Jiancheng Liu
- et al.
- 2023
- NeurIPS 2023
MIMONets: Multiple-Input-Multiple-Output Neural Networks Exploiting Computation in Superposition
- Nicolas Menet
- Michael Hersche
- et al.
- 2023
- NeurIPS 2023