NeuralFuse: Learning to Recover the Accuracy of Access-Limited Neural Network Inference in Low-Voltage Regimes
- Hao-lun Sun
- Lei Hsiung
- et al.
- 2024
- NeurIPS 2024
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- Machine Learning
1423 results for Machine Learning
Hierarchical Federated Learning with Multi-Timescale Gradient Correction
- Wenzhi Fang
- Dong-jun Han
- et al.
- 2024
- NeurIPS 2024
Distributional Preference Alignment of LLMs via Optimal Transport
- Igor Melnyk
- Youssef Mroueh
- et al.
- 2024
- NeurIPS 2024
Abstracted Shapes as Tokens - A Generalizable and Interpretable Model for Time-series Classification
- Yunshi Wen
- Tengfei Ma
- et al.
- 2024
- NeurIPS 2024
Towards Exact Gradient-based Training on Analog In-memory Computing
- Zhaoxian Wu
- Tayfun Gokmen
- et al.
- 2024
- NeurIPS 2024
Reversing the Forget-Retain Objectives: An Efficient LLM Unlearning Framework from Logit Difference
- Jiabao Ji
- Yujian Liu
- et al.
- 2024
- NeurIPS 2024
Fine-Tuned MLP-Mixers as data-driven Numerical Surrogates?
- 2024
- NeurIPS 2024
Regress, Don’t Guess – A Regression-like Loss on Number Tokens for Language Models
- Jonas Zausinger
- Lars Pennig
- et al.
- 2024
- NeurIPS 2024
Combining Domain and Alignment Vectors to Achieve Better Knowledge-Safety Trade-offs in LLMs
- Megh Thakkar
- Yash More
- et al.
- 2024
- NeurIPS 2024
Guaranteeing Conservation Laws with Projection in Physics-Informed Neural Networks
- Anthony Baez
- Wang Zhang
- et al.
- 2024
- NeurIPS 2024