ON THE DESIGN OF DEEP PRIORS FOR UNSUPERVISED AUDIO RESTORATION

von Narayanaswamy, Vivek Sivaraman
Veröffentlicht in INTERSPEECH (22. : 2021 : Brünn; Online) 22nd Annual Conference of the International Speech Communication Association (INTERSPEECH 2021) ; Volume 4 of 6 (2021)

Single Model Uncertainty Estimation via Stochastic Data Centering

von Thiagarajan, Jayaraman
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 12 of 50 (2023)

Improving Reliability of Clinical Models Using Prediction Calibration

von Thiagarajan, Jayaraman J.
Veröffentlicht in UNSURE (2. : 2020 : Online) Uncertainty for safe utilization of machine learning in medical imaging, and graphs in biomedical image analysis (2020)

Analyzing Data-Centric Properties for Graph Contrastive Learning

von Trivedi, Puja
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 19 of 50 (2023)

Improved StyleGAN-V2 Based Inversion for Out-Of-Distribution Images

von Subramanyam, Rakshith
Veröffentlicht in International Conference on Machine Learning (39. : 2022 : Baltimore, Md.; Online) International Conference on Machine Learning (ICML 2022) ; Part 35 of 33 (2023)

A STATISTICAL MECHANICS FRAMEWORK FOR TASK-AGNOSTIC SAMPLE DESIGN IN MACHINE LEARNING

von Kailkhura, Bhavya
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 15 of 27 (2021)

Designing Counterfactual Generators using Deep Model Inversion

von Thiagarajan, Jayaraman
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 20 of 36 (2022)