Publications

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
Conference paper
Self-Taught Recognizer: Toward Unsupervised Adaptation for Speech Foundation Models
- - Yuchen Hu
  - Chen Chen
  - et al.
- 2024
- NeurIPS 2024
Conference paper
Gradient Cuff: Detecting Jailbreak Attacks on Large Language Models by Exploring Refusal Loss Landscapes
- - Xiaomeng Xu
  - Pin-Yu Chen
  - et al.
- 2024
- NeurIPS 2024
Conference paper
Safe LoRA: the Silver Lining of Reducing Safety Risks when Fine-tuning Large Language Models
- - Chia-yi Hsu
  - Yu-Lin Tsai
  - et al.
- 2024
- NeurIPS 2024
Conference paper
Navigating the Safety Landscape: Measuring Risks in Finetuning Large Language Models
- - Shengyun Peng
  - Pin-Yu Chen
  - et al.
- 2024
- NeurIPS 2024
Conference paper
Neural Network Reparametrization for Accelerated Optimization in Molecular Simulations
- - Nima Dehmamy
  - Csaba Both
  - et al.
- 2024
- NeurIPS 2024
Conference paper
Trans-LoRA: towards data-free Transferable Parameter Efficient Finetuning
- - Runqian Wang
  - Soumya Ghosh
  - et al.
- 2024
- NeurIPS 2024
Conference paper
Symmetry-Informed Governing Equation Discovery
- - Jianke Yang
  - Wang Rao
  - et al.
- 2024
- NeurIPS 2024
Conference paper
Abductive Reasoning in Logical Credal Networks
- - Radu Marinescu
  - Junkyu Lee
  - et al.
- 2024
- NeurIPS 2024
Conference paper
Dense Associative Memory Through the Lens of Random Features
- - Benjamin Hoover
  - Duen Horng Chau
  - et al.
- 2024
- NeurIPS 2024
Conference paper