4 papers
Web-Scale Multimodal Summarization using CLIP-Based Semantic Alignment
Mounvik K, N Harshit
We introduce Web-Scale Multimodal Summarization, a lightweight framework for generating summaries by combining retrieved text and image data from web sources. Given a user-defined…
Accuracy-Constrained CNN Pruning for Efficient and Reliable EEG-Based Seizure Detection
Mounvik K, N Harshit
Deep learning models, especially convolutional neural networks (CNNs), have shown considerable promise for biomedical signals such as EEG-based seizure detection. However, these mo…
Counterfactual Reward Model Training for Bias Mitigation in Multimodal Reinforcement Learning
Sheryl Mathew, N Harshit
In reinforcement learning with human feedback (RLHF), reward models can efficiently learn and amplify latent biases within multimodal datasets, which can lead to imperfect policy o…
Improving Real-Time Concept Drift Detection using a Hybrid Transformer-Autoencoder Framework
N Harshit, K Mounvik
In applied machine learning, concept drift, which is either gradual or abrupt changes in data distribution, can significantly reduce model performance. Typical detection methods,su…