Browse by Journal / Conference

Sasindran, Z and Yelchuri, H and Prabhakar, TV (2023) Ed-Fed: A generic federated learning framework with resource-aware client selection for edge devices. In: 2023 International Joint Conference on Neural Networks, IJCNN 2023, 18-23 June 2023, Gold Coast, Australia.

Kashyap, S and Garani, SS (2023) Quantum Convolutional Neural Network Architecture for Multi-Class Classification. In: 2023 International Joint Conference on Neural Networks, IJCNN 2023, 18 - 23 June 2023, Gold Coast.

Yemme, A and Garani, SS (2023) A Scalable GPT-2 Inference Hardware Architecture on FPGA. In: 2023 International Joint Conference on Neural Networks, IJCNN 2023, 18-23 June 2023, Gold Coast.

Raj, R and Devi, VS (2023) Towards Robustness of Few-Shot Text Classifiers. In: 2023 International Joint Conference on Neural Networks, IJCNN 2023, 18-23 June 2023, Gold Coast, Australia.

Diddigi, RB and Jain, P and Prabuchandran, JK and Bhatnagar, S (2022) Neural Network Compatible Off-Policy Natural Actor-Critic Algorithm. In: 2022 International Joint Conference on Neural Networks, IJCNN 2022, 18 - 23 July 2022, Padua.

Rao, N and Sundaram, S (2021) Spatio-Temporal Look-Ahead Trajectory Prediction using Memory Neural Network. In: 2021 International Joint Conference on Neural Networks, 18 - 22 July 2021, Shenzhen.

MacHireddy, A and Gowgi, P and Garani, SS (2021) Extracting Temporal Correlations Using Hierarchical Spatio-Temporal Feature Maps. In: 2021 International Joint Conference on Neural Networks, IJCNN 2021, 18- 22 July 2021, Virtual, Shenzhen.

Mishra, S and Sundaram, S (2021) Self Regulated Learning Mechanism for Data Efficient Knowledge Distillation. In: Proceedings of the International Joint Conference on Neural Networks, 18 - 22 July 2021, Shenzhen.

Ghosh, S (2021) Adversarial Training of Variational Auto-encoders for Continual Zero-shot Learning(A-CZSL). In: International Joint Conference on Neural Networks, IJCNN 2021, 18 - 22 July 2021, Virtual, Shenzhen.

John, I and Bhatnagar, S (2020) Deep Reinforcement Learning with Successive Over-Relaxation and its Application in Autoscaling Cloud Resources. In: Proceedings of the International Joint Conference on Neural Networks, 19-24 July 2020, Virtual, Glasgow.

Prabhakar, KR and Ramaswamy, A and Bhambri, S and Gubbi, J and Babu, RV and Purushothaman, B (2020) CDNet++: Improved Change Detection with Deep Neural Network Feature Correlation. In: International Joint Conference on Neural Networks, IJCNN 2020;, 19 July 2020 through 24 July 2020, Virtual, Glasgow; United Kingdom.

Gowgi, P and Garani, SS (2020) Hessian-based Bounds on Learning Rate for Gradient Descent Algorithms. In: 2020 International Joint Conference on Neural Networks, IJCNN 2020, 19-24 Jul 2020, Glasgow; United Kingdom.

Machingal, P and Thousif, M and Dora, S and Sundaram, S (2020) Self-regulated Learning Algorithm for Distributed Coding Based Spiking Neural Classifier. In: 2020 International Joint Conference on Neural Networks, IJCNN 2020, 19-24 July 2020, United Kingdom.

MacHireddy, A and Garani, SS (2019) Guessing the Code: Learning Encoding Mappings Using the Back Propagation Algorithm. In: 2019 International Joint Conference on Neural Networks, IJCNN 2019, 14 July 2019 - 19 July 2019, Budapest.

Kumaraswamy, SK and Sastr, P and Ramakrishnan, K (2018) Multi-source Subnetwork-level Transfer in CNNs Using Filter-Trees. In: International Joint Conference on Neural Networks, IJCNN 2018, 8 - 13 July 2018, Rio de Janeiro.

Gowgi, P and Machireddy, A and Garani, SS (2018) Priority-based Soft Vector Quantization Feature Maps. In: International Joint Conference on Neural Networks, IJCNN 2018, 8 - 13 July 2018, Rio de Janeiro.