1 citations · 2 across the 8 of their papers we have counts for
5 papers · 1 filter
Characterizing the Predictive Impact of Modalities with Supervised Latent-Variable Modeling
Divyam Madaan, Sumit Chopra, Kyunghyun Cho
Despite the recent success of Multimodal Large Language Models (MLLMs), existing approaches predominantly assume the availability of multiple modalities during training and inferen…
Multi-modal Data Spectrum: Multi-modal Datasets are Multi-dimensional
Divyam Madaan, Varshan Muhunthan, Kyunghyun Cho +1
Understanding the interplay between intra-modality dependencies (the contribution of an individual modality to a target task) and inter-modality dependencies (the relationships bet…
Jointly Modeling Inter- & Intra-Modality Dependencies for Multi-modal Learning
Divyam Madaan, Taro Makino, Sumit Chopra +1
Supervised multi-modal learning involves mapping multiple modalities to a target label. Previous studies in this field have concentrated on capturing in isolation either the inter-…
Heterogeneous Continual Learning
Divyam Madaan, Hongxu Yin, Wonmin Byeon +2
We propose a novel framework and a solution to tackle the continual learning (CL) problem with changing network architectures. Most CL methods focus on adapting a single architectu…
VayuAnukulani: Adaptive Memory Networks for Air Pollution Forecasting
Divyam Madaan, Radhika Dua, Prerana Mukherjee +1
Air pollution is the leading environmental health hazard globally due to various sources which include factory emissions, car exhaust and cooking stoves. As a precautionary measure…