Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time SeriesVijay EArindam Jatiet al.2024NeurIPS 2024
Safe LoRA: the Silver Lining of Reducing Safety Risks when Fine-tuning Large Language ModelsChia-yi HsuYu-Lin Tsaiet al.2024NeurIPS 2024
Privacy without Noisy Gradients: Slicing Mechanism for Generative Model TrainingKristjan GreenewaldYuancheng Yuet al.2024NeurIPS 2024
Self-Taught Recognizer: Toward Unsupervised Adaptation for Speech Foundation ModelsYuchen HuChen Chenet al.2024NeurIPS 2024
GREAT Score: Global Robustness Evaluation of Adversarial Perturbation using Generative ModelsZhaitang LiPin-Yu Chenet al.2024NeurIPS 2024
Distributional Preference Alignment of LLMs via Optimal TransportIgor MelnykYoussef Mrouehet al.2024NeurIPS 2024
Score Distillation via Reparametrized DDIMArtem LukoianovHaitz Saez De Ocariz Bordeet al.2024NeurIPS 2024
Reversing the Forget-Retain Objectives: An Efficient LLM Unlearning Framework from Logit DifferenceJiabao JiYujian Liuet al.2024NeurIPS 2024
Protecting Users From Themselves: Safeguarding Contextual Privacy in Interactions with Conversational AgentsIvoline NgongSwanand Ravindra Kadheet al.2024NeurIPS 2024