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ORCID3rd AIMLSystems 2023: Bangalore, India
- Proceedings of the Third International Conference on AI-ML Systems, AIMLSystems 2023, Bangalore, India, October 25-28, 2023. ACM 2023
- Onkar Susladkar
, Gayatri S. Deshmukh, Sparsh Mittal, R. Sai Chandra Teja, Rekha Singhal:
LiBERTy: A Novel Model for Natural Language Understanding. 1:1-1:9 - Prashanth H. C., Yash Dharmesh Mogal, Madhav Rao:
Design-Space Exploration of Systolic Array for Edge Inferencing Applications. 2:1-2:8 - Bidyut Saha, Riya Samanta, Soumya Kanti Ghosh, Ram Babu Roy:
TinyML-Driven On-Device Personalized Human Activity Recognition and Auto-Deployment to Smart Bands. 3:1-3:9 - Kshitij Garg, Prasant Misra, Yogesh Bichpuriya, Arunchandar Vasan:
Managed Bidirectional Charging of Electric Fleets with Arbitrage. 4:1-4:9 - Sourav Seal, Divyashikha Sethia:
Soil Moisture Prediction Using Deep Learning on Hyperspectral Data. 5:1-5:8 - Naveen Kanigiri, Manohar Suggula, Debanjali Bhattacharya, Neelam Sinha:
Investigating the changes in BOLD responses during viewing of images with varied complexity: An fMRI time-series based analysis on human vision. 6:1-6:6 - Neeraj Kumar Sharma, Sakeena Shahid, Subodh Kumar, Sanjeev Sharma, Rakesh Kumar Gupta, Naveen Kumar:
Predicting Depth of Anesthesia using EEG Signals and Deep Convolution Network. 7:1-7:8 - Renju C. Nair, Madhav Rao, Muralidhara V. N:
SecureFrameNet: A rich computing capable secure framework for deploying neural network models on edge protected system. 8:1-8:13 - Vikram Singh, Devanand Gamboir:
Unveiling User Influence: An Adaptive Algorithm for Socialness Estimation through User-Reply Semantics. 9:1-9:11 - Ratul Kishore Saha, Rekha Singhal, Manoj Nambiar:
CAMOT: Content Aware Multi Object Tracking. 10:1-10:9 - Luca Colombo, Alessandro Falcetta, Manuel Roveri:
TIFeD: a Tiny Integer-based Federated learning algorithm with Direct feedback alignment. 11:1-11:8 - Vamshi Krishna Kancharla, Neelam Sinha:
YOLOv7-DocInstSeg: Efficient Instance Segmentation Framework for Document Analysis and Recognition. 12:1-12:6 - Archana Ramachandran, Sumohana S. Channappayya:
Perceptually-Inspired Local Source Normalization for Adversarial Robustness. 13:1-13:8 - Saradindu Kar, Akash Mondal:
Leveraging Uncertainty for Credit Risk Estimation and Reliable Predictions in lending decision making. 14:1-14:5 - Soma Bandyopadhyay, Sudeshna Sarkar:
Exploring Causality Aware Data Synthesis. 15:1-15:9 - Rabina Khatun, Nilanjan Sinhababu:
Improved Sequence Predictions using Knowledge Graph Embedding for Large Language Models. 16:1-16:5 - Divya Jyoti Bajpai, Vivek Kumar Trivedi, Sohan L. Yadav, Manjesh Kumar Hanawal:
SplitEE: Early Exit in Deep Neural Networks with Split Computing. 17:1-17:9 - Jayeeta Mondal, Swarnava Dey, Arijit Mukherjee:
Binary Convolutional Neural Network for Efficient Gesture Recognition at Edge. 18:1-18:10 - Swarnava Dey:
Designing a Bare Minimum Face Recognition Architecture for Bare Metal Edge Devices: An Experience Report. 19:1-19:8 - Zitha Sasindran, Harsha Yelchuri, Prabhakar Venkata Tamma, Pooja Rao:
MobileASR: A resource-aware on-device learning framework for user voice personalization applications on mobile phones. 20:1-20:11 - Sharath M. Shankaranarayana:
Model Uncertainty based Active Learning on Tabular Data using Boosted Trees. 21:1-21:9 - Ashwin Krishnan, Manoj Nambiar, Rekha Singhal:
Hetero-Rec++: Modelling-based Robust and Optimal Deployment of Embeddings Recommendations. 22:1-22:9 - Ajay Kattepur, Swarup Kumar Mohalik, Ian Burdick, Marin Orlic, Leonid Mokrushin:
CONRAD: Cognitive Intent Driven 5G Network Slice Planning and Design. 23:1-23:8 - Vishal Verma, Vinod Reddy, Jaiprakash Ravi:
Accelerating Causal Algorithms for Industrial-scale Data: A Distributed Computing Approach with Ray Framework. 24:1-24:6 - Preeti Gopal, Sivaram Prasad Mudunuri, Sumit Kumar Dutta, Kamiya Motwani:
Uncovering Critical Products in Retail Baskets: A Predictive Modelling Approach to Increase Order Fulfilment. 25:1-25:6 - Vishal Verma, Akriti Upreti, Kartavya Kothari, Utkarsh Thukral:
FENCE: Fairplay Ensuring Network Chain Entity for Real-Time Multiple ID Detection at Scale In Fantasy Sports. 26:1-26:7 - Aayush Chaudhary, Abhinav Rai, Abhishek Gupta:
Maximizing Success Rate of Payment Routing using Non-stationary Bandits. 27:1-27:7 - Debanjan Sadhukhan, Sachin Kumar, Swarit Sankule, Tridib Mukherjee:
t-RELOAD: A REinforcement Learning-based Recommendation for Outcome-driven Application. 28:1-28:7 - Soma Bandyopadhyay, Anish Datta, Mudassir Ali Sayyed, Tapas Chakravarty, Arpan Pal, Chirabrata Bhaumik:
Physics Guided Generative Learning for Domain Adaptable Data Synthesis : Progressive Fault Synthesization for Predictive Machine Maintenance. 29:1-29:7 - Mandeep Singh, Viraj Patel, Ritik Kumar, Samrat Nath, Abhishek Mishra:
Machine Learning Driven Performance Benchmarking for Energy Efficiency. 30:1-30:7 - Abhijeet Pandey, Rishav Gupta, Abhishek Mishra:
SToRM: Smart ticket resolution steps recommendation in facilities management. 31:1-31:7 - Jaykumar Kasundra, Shreyans Dhankhar:
Adapting Open-Source LLMs for Contract Drafting and Analyzing Multi-Role vs. Single-Role Behavior of ChatGPT for Synthetic Data Generation. 32:1-32:8 - Kartikay Bagla, Shivam Gupta, Ankit Kumar, Anuj Gupta:
Noisy Text Data: foible of popular Transformer based NLP models. 33:1-33:5 - Guneet Singh Kohli, Shantipriya Parida, Sambit Sekhar, Samirit Saha, Nipun B. Nair, Parul Agarwal, Sonal Khosla, Kusumlata Patiyal, Debasish Dhal:
Building a Llama2-finetuned LLM for Odia Language Utilizing Domain Knowledge Instruction Set. 34:1-34:7 - Vishruth Veerendranath, Vibha Masti, Utkarsh Gupta, Hrishit Chaudhuri, Gowri Srinivasa:
ScripTONES: Sentiment-Conditioned Music Generation for Movie Scripts. 35:1-35:6 - Sumit Soman, H. G. Ranjani:
Observations on LLMs for Telecom Domain: Capabilities and Limitations. 36:1-36:5 - Kalpesh Barde, Parth Atul Kulkarni:
Applications of Generative AI in Fintech. 37:1-37:5 - Ritesh S. Soun, Aadya Nair:
ChatGPT for Mental Health Applications: A study on biases. 38:1-38:5 - Bhaskarjit Sarmah, Dhagash Mehta, Stefano Pasquali, Tianjie Zhu:
Towards reducing hallucination in extracting information from financial reports using Large Language Models. 39:1-39:5 - Binay Gupta, Saptarshi Misra, Anirban Chatterjee, Kunal Banerjee:
Are you a Foodie looking for New Cookies to try out? Better not ask an LLM. 40:1-40:4 - Aditya Kasliwal, Ishaan Gakhar, Aryan Bhavin Kamani:
CoReGAN: Contrastive Regularized Generative Adversarial Network for Guided Depth Map Super Resolution. 41:1-41:5 - Sharan Mourya Bathala, Saidhiraj Amuru, Kiran Kumar Kuchi:
Multi-Task Learning for massive MIMO CSI Feedback. 42:1-42:4 - Raghav Venkata Ambati, Ayon Borthakur:
A Study on Tiny YOLO for Resource Constrained XRay Threat Detection. 43:1-43:5 - Nistala Krishna, Ashwin Krishnan, Manoj Nambiar:
GPU Implementation: Accelerating 3D-Bin Packing Problem. 44:1-44:5 - Vivek Parmar, Manan Suri:
Binarized-Distance Computation for performing low-power Face Recognition with optimized storage. 45:1-45:5 - Satyapreet Singh Yadav, Chetan Singh Thakur, Adithya M. D, Shreyansh Anand, Madhu Munasala, Dileep Kankipati:
Live Demonstration: Real-time Gesture Recognition Using tinyRadar for Edge Computing. 46:1-46:2 - Bidyut Saha, Riya Samanta, Soumya Kanti Ghosh, Ram Babu Roy:
From Wrist to World: Harnessing Wearable IMU Sensors and TinyML to Enable Smart Environment Interactions. 47:1-47:3 - Ishika Agarwal, Shradha Sehgal, Varun Goyal, Prathamesh Sonawane:
QuickAns: A Virtual Teaching Assisstant. 48:1-48:2 - Sadbodh Sharma, Umar Abdullah, Jagadeeshwar Reddy, Surya Prabha Vadlamani:
SmartShadow: Re-ID Solution for Multi-Target Multi-Camera Scenarios. 49:1-49:5 - Amresh Kumar, Dhipu T. M, Ramachandran Rajesh:
SWAra ROOPantaran (SWAROOP) : A Tool for Transcription, Translation and Speech Synthesis. 50:1-50:3 - Anupam Borthakur, Apoorva Srivastava, Aditya Kasliwal, Debdoot Sheet:
Fed2Tier: A Two-Tier Federated Learning System Towards Green Computation. 51:1-51:3 - Sabarish Vadarevu, Ajith Kumar Battaje, Alexander Berkovich:
DataExplorer - Computer Vision data management, exploration, curation, and modeling at scale. 52:1-52:3 - Sandhya Singh, Prasoon Gupta:
Talent Recommendation Engine with Real-Time Feedback Loop. 53:1-53:4 - Krishan Sharma, Shikha Gupta, Raaga Narla:
TrafficMon: A Traffic Monitoring Suite. 54:1-54:3 - Renu M. Rameshan, Meet Pandya, Somya Goel:
DepScan: 3D Under Vehicle Scanning System. 55:1-55:3 - Nupur Sumeet, Manoj Nambiar, Shreeyans Singh, Rekha Singhal:
Demo Paper: Hetero-Vis Framework for Optimized Heterogeneous Deployment of Convolutional Neural Networks. 56:1-56:3 - Rahul Sundar, Shreyash Gadgil, Tankala Satya Sai, Sathi Sai Krishna Reddy, Gautam B, Ishita Mittal, Jyotsna Sree Guduguntla, Shanmukesh Pujala:
InnoGuideGPT: Integrating conversational interface and command interpretation for navigation robots. 57:1-57:3 - Anupam Purwar, Rahul Sundar:
Keyword Augmented Retrieval: Novel framework for Information Retrieval integrated with speech interface. 58:1-58:5 - Amit Sangroya, Suparshva Jain, C. Anantaram, Lovekesh Vig:
Conceptual Explanations of ECG Classification using Large Language Models. 59:1-59:3 - Syed Mujibul Islam, Jayeeta Mondal, Shalini Mukhopadhyay, Abhishek Roychoudhury, Swarnava Dey, Arijit Mukherjee:
TinyML Demonstration of Time-series Prediction and Vision-based Gesture Recognition. 60:1-60:3 - Karthik Leburi, Hrishikesh Sharma, Arpan Pal, Srinivas Raghu Raman Gadepally:
Supervised Vision-based Anomaly Detection. 61:1-61:3 - Prudhvi Nokku:
Democratic Evaluation Framework among Organizations. 62:1-62:4
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last updated on 2025-11-18 22:27 CET by the dblp team
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