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ORCID1st AIML-Systems 2021: Bangalore, India
- AIMLSystems 2021: The First International Conference on AI-ML-Systems, Bangalore India, October 21 - 23, 2021. ACM 2021, ISBN 978-1-4503-8594-7
- Sanuj Kumar, Tuan Le:
A Word Embedding Topic Model for Robust Inference of Topics and Visualization. 1:1-1:7 - Saksham Sharma, Vanshika V. Bhargava, Aditya Kumar Singh, Kshitij Bhardwaj, Sparsh Mittal:
Leveraging Prediction Confidence For Versatile Optimizations to CNNs. 2:1-2:7 - Zitha Sasindran
, Prabhakar Venkata Tamma:
Word-level beam search decoding and correction algorithm (WLBS) for end-to-end ASR. 3:1-3:7 - Bhargav Achary Dandpati Kumar, R. Sai Chandra Teja, Sparsh Mittal, Biswabandan Panda, C. Krishna Mohan:
Inferring DNN layer-types through a Hardware Performance Counters based Side Channel Attack. 4:1-4:7 - Sharad Shukla, Nisheeth Srivastava:
Federated matched averaging with information-gain based parameter sampling. 5:1-5:7 - Pranav U. Gadikar, Vinod Ganesan, Pratyush Kumar Panda:
Generalized Weight Agnostic Neural Networks for Configurable and Continual Autonomous Systems. 6:1-6:7 - Shikha Shikha, Manan Agrawal, Mohd Ayaan Anwar, Divyashikha Sethia:
Stacked Sparse Autoencoder and Machine Learning Based Anxiety Classification Using EEG Signals. 7:1-7:7 - Arjun Verma, Prateksha Udhayanan, Rahul Murali Shankar, Nikhila K. N., Sujit Kumar Chakrabarti:
Source-Code Similarity Measurement: Syntax Tree Fingerprinting for Automated Evaluation. 8:1-8:7 - Elias Werner, Lalith Manjunath, Jan Frenzel, Sunna Torge:
Bridging between Data Science and Performance Analysis: Tracing of Jupyter Notebooks. 9:1-9:7 - Piyush Sahoo, Romesh Rajoria, Shivam Chandhok, Sumit Jagdish Darak, Danilo Pietro Pau, Hemdutt Dabral:
Resource Constrained Neural Networks for Direction-of-Arrival Estimation in Micro-controllers. 10:1-10:7 - Suresh Kumar Amalapuram, Thushara Tippi Reddy, Sumohana S. Channappayya, Bheemarjuna Reddy Tamma:
On Handling Class Imbalance in Continual Learning based Network Intrusion Detection Systems. 11:1-11:7 - Vishnu Mohan M. S, Vivek Menon:
Measuring Viscosity of Fluids: A Deep Learning Approach Using a CNN-RNN Architecture. 12:1-12:5 - Nayna Jain, Karthik Nandakumar, Nalini K. Ratha, Sharath Pankanti, Uttam Kumar:
CryptInfer: Enabling Encrypted Inference on Skin Lesion Images for Melanoma Detection. 13:1-13:7 - Sanjay Agrawal, Mridul Sachdeva, Tridib Mukherjee:
Targeted Upskilling Framework based on Player Mistake Context in Online Skill Gaming Platforms. 14:1-14:7 - Tirthankar Banerjee, Dhanya Eledath, V. Ramasubramanian:
Few shot learning for cross-lingual isolated word recognition. 15:1-15:7 - Aebel Joe Shibu, Sadhana S, Shilpa N, Pratyush Kumar:
VeRLPy: Python Library for Verification of Digital Designs with Reinforcement Learning. 16:1-16:7 - Himanshu Gandhi, Misha Mehra, Vinay J. Ribeiro:
BOND: Efficient and Frugal DL Model Co-design for Botnet detection on IoT Gateways. 17:1-17:7 - S. Deepak Srinivasan, Rohit Pruthi:
Scarecrow - Intelligent Annotation platform for Engine Health Management. 18:1-18:4 - Durgadoss, Kausik Maiti, Sanju C. Sudhakaran, Isha Agarwal, Kartik Podugu, Pavan Kumar, Jitender Patil, Amit K. Chawla:
Optimizing Convolutions for an Inference Accelerator: Case Study: Intel's NNP-I 1000 DL Compute Grid. 19:1-19:7 - Morten Hagen, Piyush Arora, Rahul Ghosh, Dawn Thomas, Salil Rajeev Joshi:
Class-Based Order-Independent Models of Natural Language for Bayesian Auto-Complete Inference. 20:1-20:7 - Prabhat Kumar Saraswat, Samuel William, Eswar Reddy:
A Hybrid Approach for Offline A/B Evaluation for Item Ranking Algorithms in Recommendation Systems. 21:1-21:6 - Prem Kumar S. R., Vikas Kumar Anand, Sanjib Senapati, Arunan Murali:
InuAid Chest X-rays AI Product: Respiratory diseases detection using Artificial Intelligence to significantly improve productivity and quality of diagnosis. 22:1-22:6 - Shakkeel Ahmed, Prakash Bisht, Ravi S. Mula, Soma S. Dhavala:
A Deep Learning framework for Interoperable Machine Learning. 23:1-23:7 - Mayank Mishra, Rekha Singhal, Ravi Singh:
Towards Accelerating Offline RL based Recommender Systems. 24:1-24:7 - Gaku Nakano, Shoji Nishimura:
Real-time Social Distancing Detection System with Auto-calibration using Pose Information. 25:1-25:3 - Abir De:
Invited Tutorial: Human Assisted ML. 26:1-26:2 - Manish Gupta:
Compression of Deep Learning Models for NLP. 27:1-27:2 - Guoliang Li, Xuanhe Zhou, Lei Cao:
Machine Learning for Databases. 28:1-28:2
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last updated on 2024-09-25 00:52 CEST by the dblp team
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