Kamu erişimi zorunlu olan makaleler - Suraj SrinivasDaha fazla bilgi edinin
Bir yerde sunuluyor: 7
Full-gradient representation for neural network visualization
S Srinivas, F Fleuret
Neural Information Processing Systems (NeurIPS), 2019
Zorunlu olanlar: Swiss National Science Foundation
Knowledge Transfer with Jacobian Matching
S Srinivas, F Fleuret
International Conference on Machine Learning (ICML), 2018
Zorunlu olanlar: Swiss National Science Foundation
Which explanation should i choose? a function approximation perspective to characterizing post hoc explanations
T Han, S Srinivas, H Lakkaraju
Neural Information Processing Systems (NeurIPS), 2022
Zorunlu olanlar: US National Science Foundation
Efficient Training of Low-Curvature Neural Networks
S Srinivas, K Matoba, H Lakkaraju, F Fleuret
Neural Information Processing Systems (NeurIPS), 2022
Zorunlu olanlar: US National Science Foundation, Swiss National Science Foundation
Discriminative feature attributions: bridging post hoc explainability and inherent interpretability
U Bhalla, S Srinivas, H Lakkaraju
Advances in neural information processing systems 36, 44105-44122, 2023
Zorunlu olanlar: US National Science Foundation
Which models have perceptually-aligned gradients? an explanation via off-manifold robustness
S Srinivas, S Bordt, H Lakkaraju
Advances in neural information processing systems 36, 21172-21195, 2023
Zorunlu olanlar: US National Science Foundation, German Research Foundation
On Minimizing the impact of dataset shifts on actionable explanations
AP Meyer, D Ley, S Srinivas, H Lakkaraju
Uncertainty in Artificial Intelligence, 1434-1444, 2023
Zorunlu olanlar: US National Science Foundation
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