activity
20222024
most citedGradual Domain Adaptation without Indexed Intermediate Domains

13 citations · 33 across the 13 of their papers we have counts for

collaborators

13 papers

cs.CV20242 cited

VLM4Bio: A Benchmark Dataset to Evaluate Pretrained Vision-Language Models for Trait Discovery from Biological Images

M. Maruf, Arka Daw, Kazi Sajeed Mehrab +19

Images are increasingly becoming the currency for documenting biodiversity on the planet, providing novel opportunities for accelerating scientific discoveries in the field of orga…

q-bio.PE2024

Hierarchical Conditioning of Diffusion Models Using Tree-of-Life for Studying Species Evolution

Mridul Khurana, Arka Daw, M. Maruf +12

A central problem in biology is to understand how organisms evolve and adapt to their environment by acquiring variations in the observable characteristics or traits of species acr…

cs.LG20241 cited

Jigsaw Game: Federated Clustering

Jinxuan Xu, Hong-You Chen, Wei-Lun Chao +1

Federated learning has recently garnered significant attention, especially within the domain of supervised learning. However, despite the abundance of unlabeled data on end-users,…

cs.CV20241 cited

Dual-View Visual Contextualization for Web Navigation

Jihyung Kil, Chan Hee Song, Boyuan Zheng +3

Automatic web navigation aims to build a web agent that can follow language instructions to execute complex and diverse tasks on real-world websites. Existing work primarily takes…

cs.LG20231 cited

Holistic Transfer: Towards Non-Disruptive Fine-Tuning with Partial Target Data

Cheng-Hao Tu, Hong-You Chen, Zheda Mai +7

We propose a learning problem involving adapting a pre-trained source model to the target domain for classifying all classes that appeared in the source data, using target data tha…

cs.LG20237 cited

FLEE-GNN: A Federated Learning System for Edge-Enhanced Graph Neural Network in Analyzing Geospatial Resilience of Multicommodity Food Flows

Yuxiao Qu, Jinmeng Rao, Song Gao +6

Understanding and measuring the resilience of food supply networks is a global imperative to tackle increasing food insecurity. However, the complexity of these networks, with thei…