Africa
CondTSF: One-line Plugin of Dataset Condensation for Time Series Forecasting
The objective of dataset condensation is to ensure that the model trained with the synthetic dataset can perform comparably to the model trained with full datasets. However, existing methods predominantly concentrate on classification tasks, posing challenges in their adaptation to time series forecasting (TS-forecasting).
DAT: Improving Adversarial Robustness via Generative Amplitude Mix-up in Frequency Domain Fengpeng Li1 Kemou Li1 Haiwei Wu
Recent studies show that adversarial attacks disproportionately impact the patterns within the phase of the sample's frequency spectrum--typically containing
Coherence-free Entrywise Estimation of Eigenvectors in Low-rank Signal-plus-noise Matrix Models
Throughout this paper, we assume that the entries of W are subgaussian.
Gradient Cuff: Detecting Jailbreak Attacks on Large Language Models by Exploring Refusal Loss Landscapes
Large Language Models (LLMs) are becoming a prominent generative AI tool, where the user enters a query and the LLM generates an answer.
User-Creator Feature Polarization in Recommender Systems with Dual Influence Tao Lin Harvard University
The dual nature of these systems naturally influences both users and creators: users' preferences are
Neural Pfaffians: Solving Many Many-Electron Schrödinger Equations
Recent works proposed amortizing the cost by learning generalized wave functions across different structures and compounds instead of solving each problem independently.
Unique3D: High-Quality and Efficient 3D Mesh Generation from a Single Image
Overall, our method can generate high-fidelity, diverse, and multi-view consistent meshes from single-view wild images within 30 seconds, as shown in Figure 1. We conduct extensive experiments on various wild 2D images with different styles.