15 citations · 15 across the 5 of their papers we have counts for
5 papers
Kolmogorov Arnold Networks and Multi-Layer Perceptrons: A Paradigm Shift in Neural Modelling
Aradhya Gaonkar, Nihal Jain, Vignesh Chougule +3
The research undertakes a comprehensive comparative analysis of Kolmogorov-Arnold Networks (KAN) and Multi-Layer Perceptrons (MLP), highlighting their effectiveness in solving esse…
Self-supervised Multi-view Disentanglement for Expansion of Visual Collections
Nihal Jain, Praneetha Vaddamanu, Paridhi Maheshwari +2
Image search engines enable the retrieval of images relevant to a query image. In this work, we consider the setting where a query for similar images is derived from a collection o…
ContraCLM: Contrastive Learning For Causal Language Model
Nihal Jain, Dejiao Zhang, Wasi Uddin Ahmad +9
Despite exciting progress in causal language models, the expressiveness of the representations is largely limited due to poor discrimination ability. To remedy this issue, we prese…
MultiViz: Towards Visualizing and Understanding Multimodal Models
Paul Pu Liang, Yiwei Lyu, Gunjan Chhablani +5
The promise of multimodal models for real-world applications has inspired research in visualizing and understanding their internal mechanics with the end goal of empowering stakeho…
Generating Compositional Color Representations from Text
Paridhi Maheshwari, Nihal Jain, Praneetha Vaddamanu +3
We consider the cross-modal task of producing color representations for text phrases. Motivated by the fact that a significant fraction of user queries on an image search engine fo…