22 citations · 28 across the 10 of their papers we have counts for
13 papers
OrBIT: Structure-Guided Embedding Compression
Yunied Puig, Amit Kumar Jaiswal
Embedding tables are among the largest components of modern language models. Most compression methods fix a coding geometry such as coordinate blocks, low-rank subspaces, or unrest…
Correlation-Guided Fast Machine Unlearning via Hessian Analysis
Ayushi Thakur, Ruchir Gupta, Amit Kumar Jaiswal +1
The increasing adoption of machine learning in network and distributed security systems has created an urgent need for mechanisms that can selectively and efficiently remove the in…
Generative Replay Mitigates Sample Starvation in Quantum Architecture Search
Akash Kundu, Amit Kumar Jaiswal, Sebastian Feld +1
Reinforcement learning (RL) can automate quantum architecture search, but its scalability is limited when useful circuit trajectories become rare in the rapidly expanding search sp…
Multimodal RAG Enhanced Visual Description
Amit Kumar Jaiswal, Haiming Liu, Ingo Frommholz
Textual descriptions for multimodal inputs entail recurrent refinement of queries to produce relevant output images. Despite efforts to address challenges such as scaling model siz…
Investigating Context Effects in Similarity Judgements in Large Language Models
Sagar Uprety, Amit Kumar Jaiswal, Haiming Liu +1
Large Language Models (LLMs) have revolutionised the capability of AI models in comprehending and generating natural language text. They are increasingly being used to empower and…
Towards Subject Agnostic Affective Emotion Recognition
Amit Kumar Jaiswal, Haiming Liu, Prayag Tiwari
This paper focuses on affective emotion recognition, aiming to perform in the subject-agnostic paradigm based on EEG signals. However, EEG signals manifest subject instability in s…