Thus, in this paper, we seek to establish a new gold standard for small molecule drug discovery benchmarking, W elQrate .

The increasing realism of synthetic speech, driven by advancements in text-to-speech models, raises ethical concerns regarding impersonation and disinformation. Audio watermarking offers a promising solution via embedding human-imperceptible watermarks into AI-generated audios.

Each voxel in a diffusion MRI (dMRI) image contains a spherical signal corresponding to the direction and strength of water diffusion in the brain.

In open-world scenarios, where both novel classes and domains may exist, an ideal segmentation model should detect anomaly classes for safety and generalize to new domains.

During the CL of VLMs, we need not only to prevent the catastrophic forgetting on incrementally learned knowledge but also to preserve the zero-shot ability of VLMs.

This paper presents the first benchmark of uncertainty disentanglement.

Work done while doing an internship at NA VER Cloud.

This also makes the outputs more amenable for training species classifiers on prediction crops, if species are known.

Anomaly detection in time series data is fundamental to the design, deployment, and evaluation of industrial control systems.