STM-GAN: Sequentially Trained Multiple Generators for Mitigating Mode Collapse

von Varshney, Sakshi
Veröffentlicht in ICONIP (27. : 2020 : Bangkok; Online) Neural information processing ; Part 5 (2020)

Transformer based Multitask Learning for Image Captioning and Object Detection

von Basak, Debolena
Veröffentlicht in Pacific-Asia Conference on Knowledge Discovery and Data Mining (28. : 2024 : Taipeh) Advances in knowledge discovery and data mining ; Part 2 (2024)

SUBSET-OF-DATA VARIATIONAL INFERENCE FOR DEEP GAUSSIAN-PROCESSES REGRESSION

von Jain, Ayush
Veröffentlicht in Conference on Uncertainty in Artificial Intelligence (37. : 2021 : Online) 37th Conference on Uncertainty in Artificial Intelligence (UAI 2021) ; Part 2 of 3 (2022)

Improving Adaptive Bayesian Optimization with Spectral Mixture Kernel

von Raj, Harsh
Veröffentlicht in ICONIP (27. : 2020 : Bangkok; Online) Neural information processing ; Part 5 (2020)

Modeling Implicit Communities from Geo-Tagged Event Traces Using Spatio-Temporal Point Processes

von Likhyani, Ankita
Veröffentlicht in WISE (21. : 2020 : Amsterdam) Web information systems engineering - WISE 2020, 21st International Conference, Amsterdam, The Netherlands, October 20-24, 2020 : proceedings ; Part 1 (2020)

CAM-GAN: Continual Adaptation Modules for Generative Adversarial Networks

von Varshney, Sakshi
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 18 of 36 (2022)

Adiabatic Quantum Feature Selection for Sparse Linear Regression

von Desu, Surya Sai Teja
Veröffentlicht in ICCS (21. : 2021 : Online) Computational science - ICCS 2021 ; Part 6 (2021)