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Robust Multimodal Learning via Cross-Modal Proxy Tokens
Imagine an AI designed to understand the world through multiple senses—like sight and hearing. It can identify a cat by both its picture (vision) and its “meow” (audio).
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Basin-wide groundwater level forecasting with Transfer Learning and LSTM
Groundwater is the lifeline of millions, but predicting its levels—especially over large areas—is very difficult. Traditional physically based models demand immense data and computational …
Read moreIncrease Your Research Visibility: How to Ensure Your Research Gets the Attention It Deserves
You have spent a few months, maybe even years, into your research. The late-night experiments, the endless cycle of writing and revising, the nail-biting wait for peer review.
Read moreRobust Multimodal Learning via Cross-Modal Proxy Tokens
Imagine an AI designed to understand the world through multiple senses—like sight and hearing. It can identify a cat by both its picture (vision) and its “meow” (audio).
Read moreFrom Paper to Podium: How to Convert a LaTeX Project to a Presentation Using LLMs
Imagine this: you’ve just wrapped up a semester-long research project. Your LaTeX paper is polished, perfected, and submitted to a top-tier conference.
Read moreU2A: Unified Unimodal Adaptation for Robust and Efficient Multimodal Learning
Imagine you are using an AI system that analyzes both images and text to classify food items. It works great—until suddenly, the text data is missing.
Read moreModel, Analyze, and Comprehend User Interactions within a Social Media Platform
Social media has transformed how we communicate, but have you ever wondered what really happens beneath the surface? Who drives the discussions?
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