Deep Learning
Combining Observational Data and Language for Species Range Estimation Max Hamilton 1 Christian Lange 2 Elijah Cole 3 Alexander Shepard 4
Species range maps (SRMs) are essential tools for research and policy-making in ecology, conservation, and environmental management.
Visual Anchors Are Strong Information Aggregators For Multimodal Large Language Model
Despite its importance, the vision-language connector has been relatively less explored.
ESPACE: Dimensionality Reduction of Activations for Model Compression
ESP ACE projects activations onto a pre-calibrated set of principal components.
ORA: Towards Safety Alignment of T ext2Video Generation via a Human Preference Dataset
This dataset encompasses human preferences in text-to-video generation tasks along two primary dimensions: helpfulness and harmlessness.
Supra-Laplacian Encoding for Transformer on Dynamic Graphs
Fully connected Graph Transformers (GT) have rapidly become prominent in the static graph community as an alternative to Message-Passing models, which suffer from a lack of expressivity, oversquashing, and under-reaching.