Dallas
I Learned More Than I Thought I Would From Using Food-Tracking Apps
The app reads your email inbox and your meeting calendar, then gives you a short audio summary. It can help you spend less time scrolling, but of course, there are privacy drawbacks to consider.
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
Conformal Prediction for Uncertainty-Aware Planning with Diffusion Dynamics Model
It is crucial to quantify the uncertainty of these dynamics models when using them for planning.
The RefinedWeb Dataset for Falcon LLM: Outperforming Curated Corpora with Web Data Only The Falcon LLM Team
Do not distribute. 1 Introduction
Temporal Robustness against Data Poisoning
Data poisoning considers cases when an adversary manipulates the behavior of machine learning algorithms through malicious training data.
G3: AnEffectiveandAdaptiveFrameworkfor WorldwideGeolocalizationUsingLarge Multi-ModalityModels
As a result, existing studies have clear limitations whenscaledtoaworldwidecontext.