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…
Lightweight Adaptation of Neural Language Models via Subspace Embedding
Amit Kumar Jaiswal, Haiming Liu
Traditional neural word embeddings are usually dependent on a richer diversity of vocabulary. However, the language models recline to cover major vocabularies via the word embeddin…
A Novel Deep Learning based Model for Erythrocytes Classification and Quantification in Sickle Cell Disease
Manish Bhatia, Balram Meena, Vipin Kumar Rathi +5
The shape of erythrocytes or red blood cells is altered in several pathological conditions. Therefore, identifying and quantifying different erythrocyte shapes can help diagnose va…
Reinforcement Learning-driven Information Seeking: A Quantum Probabilistic Approach
Amit Kumar Jaiswal, Haiming Liu, Ingo Frommholz
Understanding an information forager's actions during interaction is very important for the study of interactive information retrieval. Although information spread in uncertain inf…
Information Foraging for Enhancing Implicit Feedback in Content-based Image Recommendation
Amit Kumar Jaiswal, Haiming Liu, Ingo Frommholz
User implicit feedback plays an important role in recommender systems. However, finding implicit features is a tedious task. This paper aims to identify users' preferences through…
Effects of Foraging in Personalized Content-based Image Recommendation
Amit Kumar Jaiswal, Haiming Liu, Ingo Frommholz
A major challenge of recommender systems is to help users locating interesting items. Personalized recommender systems have become very popular as they attempt to predetermine the…
Semi-Supervised Learning for Cancer Detection of Lymph Node Metastases
Amit Kumar Jaiswal, Ivan Panshin, Dimitrij Shulkin +2
Pathologists find tedious to examine the status of the sentinel lymph node on a large number of pathological scans. The examination process of such lymph node which encompasses met…
Parsec: A State Channel for the Internet of Value
Amit Kumar Jaiswal
We propose Parsec, a web-scale State channel for the Internet of Value to exterminate the consensus bottleneck in Blockchain by leveraging a network of state channels which enable…