Privacy without Noisy Gradients: Slicing Mechanism for Generative Model TrainingKristjan GreenewaldYuancheng Yuet 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
Self-Taught Recognizer: Toward Unsupervised Adaptation for Speech Foundation ModelsYuchen HuChen Chenet al.2024NeurIPS 2024
Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time SeriesVijay EArindam Jatiet al.2024NeurIPS 2024
Reversing the Forget-Retain Objectives: An Efficient LLM Unlearning Framework from Logit DifferenceJiabao JiYujian Liuet al.2024NeurIPS 2024
Towards Using Large Language Models and Deep Reinforcement Learning for Inertial Fusion EnergyVadim ElisseevMax Espositoet al.2024NeurIPS 2024
Automating Thought of Search: A Journey Towards Soundness and CompletenessDaniel CaoMichael Katzet al.2024NeurIPS 2024
Protecting Users From Themselves: Safeguarding Contextual Privacy in Interactions with Conversational AgentsIvoline NgongSwanand Ravindra Kadheet al.2024NeurIPS 2024