Ajay Jaiswal
Orcid: 0000-0001-9032-2916
According to our database1,
Ajay Jaiswal
authored at least 58 papers
between 2011 and 2024.
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Bibliography
2024
Expert Syst. J. Knowl. Eng., July, 2024
CancerGPT for few shot drug pair synergy prediction using large pretrained language models.
npj Digit. Medicine, 2024
Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge.
Medical Image Anal., 2024
Modeling the impact of noise and uncertain operational environment on software release decisions considering testing coverage-based SRGM.
Intell. Decis. Technol., 2024
All Against Some: Efficient Integration of Large Language Models for Message Passing in Graph Neural Networks.
CoRR, 2024
From GaLore to WeLore: How Low-Rank Weights Non-uniformly Emerge from Low-Rank Gradients.
CoRR, 2024
Q-GaLore: Quantized GaLore with INT4 Projection and Layer-Adaptive Low-Rank Gradients.
CoRR, 2024
FarSight: A Physics-Driven Whole-Body Biometric System at Large Distance and Altitude.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Junk DNA Hypothesis: Pruning Small Pre-Trained Weights Irreversibly and Monotonically Impairs "Difficult" Downstream Tasks in LLMs.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
FFN-SkipLLM: A Hidden Gem for Autoregressive Decoding with Adaptive Feed Forward Skipping.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Is C4 Dataset Optimal for Pruning? An Investigation of Calibration Data for LLM Pruning.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
2023
Software reliability testing coverage model using feed-forward back propagation neural network.
Int. J. Model. Identif. Control., 2023
Junk DNA Hypothesis: A Task-Centric Angle of LLM Pre-trained Weights through Sparsity.
CoRR, 2023
FarSight: A Physics-Driven Whole-Body Biometric System at Large Distance and Altitude.
CoRR, 2023
CancerGPT: Few-shot Drug Pair Synergy Prediction using Large Pre-trained Language Models.
CoRR, 2023
Attend Who is Weak: Pruning-assisted Medical Image Localization under Sophisticated and Implicit Imbalances.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023
The Emergence of Essential Sparsity in Large Pre-trained Models: The Weights that Matter.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the Information for a Better World: Normality, Virtuality, Physicality, Inclusivity, 2023
Proceedings of the International Conference on Machine Learning, 2023
Instant Soup: Cheap Pruning Ensembles in A Single Pass Can Draw Lottery Tickets from Large Models.
Proceedings of the International Conference on Machine Learning, 2023
Graph Ladling: Shockingly Simple Parallel GNN Training without Intermediate Communication.
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
2022
Fiber Bragg grating sensors driven structural health monitoring by using multimedia-enabled iot and big data technology.
Multim. Tools Appl., 2022
Further divided gender gaps in research productivity and collaboration during the COVID-19 pandemic: Evidence from coronavirus-related literature.
J. Informetrics, 2022
Team formation and team impact: The balance between team freshness and repeat collaboration.
J. Informetrics, 2022
Team formation and team performance: The balance between team freshness and repeat collaboration.
CoRR, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the International Conference on Machine Learning, 2022
RoS-KD: A Robust Stochastic Knowledge Distillation Approach for Noisy Medical Imaging.
Proceedings of the IEEE International Conference on Data Mining, 2022
Single Frame Atmospheric Turbulence Mitigation: A Benchmark Study and a New Physics-Inspired Transformer Model.
Proceedings of the Computer Vision - ECCV 2022, 2022
2021
RadBERT-CL: Factually-Aware Contrastive Learning For Radiology Report Classification.
Proceedings of the Machine Learning for Health, 2021
Proceedings of the Diversity, Divergence, Dialogue, 2021
SCALP - Supervised Contrastive Learning for Cardiopulmonary Disease Classification and Localization in Chest X-rays using Patient Metadata.
Proceedings of the IEEE International Conference on Data Mining, 2021
Using Radiomics as Prior Knowledge for Thorax Disease Classification and Localization in Chest X-rays.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
2020
Segmentation and Ranking of Online Reviewer Community: The Role of Reviewers' Frequency, Helpfulness, and Recency.
Int. J. E Adopt., 2020
Using Radiomics as Prior Knowledge for Abnormality Classification and Localization in Chest X-rays.
CoRR, 2020
Team Solomon at SemEval-2020 Task 4: Be Reasonable: Exploiting Large-scale Language Models for Commonsense Reasoning.
Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2020
Solomon at SemEval-2020 Task 11: Ensemble Architecture for Fine-Tuned Propaganda Detection in News Articles.
Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2020
2017
Proceedings of the 2017 ACM/IEEE Joint Conference on Digital Libraries, 2017
2016
Incremental and Decremental Nonparametric Discriminant Analysis for Face Recognition.
Comput. Informatics, 2016
Proceedings of the Advances in Artificial Intelligence, 2016
2015
Int. J. Appl. Pattern Recognit., 2015
2014
Int. J. Comput. Vis. Image Process., 2014
A Comparative Study of Linear Discriminant and Linear Regression Based Methods for Expression Invariant Face Recognition.
Proceedings of the Advances in Signal Processing and Intelligent Recognition Systems, 2014
2012
Int. J. Comput. Vis. Image Process., 2012
Proceedings of the Advances in Artificial Intelligence, 2012
Performance evaluation of subspace methods to tackle small sample size problem in face recognition.
Proceedings of the 2012 International Conference on Advances in Computing, 2012
A Hybrid of Principal Component Analysis and Partial Least Squares for Face Recognition across Pose.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2012
Expert Webest Tool: A Web Based Application, Estimate the Cost and Risk of Software Project Using Function Points.
Proceedings of the Advances in Computing and Information Technology - Proceedings of the Second International Conference on Advances in Computing and Information Technology (ACITY) July 13-15, 2012, Chennai, India, 2012
2011
Performance evaluation of linear subspace methods for face recognition under illumination variation.
Proceedings of the Fourth International C* Conference on Computer Science & Software Engineering, 2011