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Publication search results
found 82 matches
- 2023
- Walid Krichene, Prateek Jain, Shuang Song, Mukund Sundararajan, Abhradeep Guha Thakurta, Li Zhang:
Multi-Task Differential Privacy Under Distribution Skew. ICML 2023: 17784-17807 - Mukund Sundararajan, Walid Krichene:
Inflow, Outflow, and Reciprocity in Machine Learning. ICML 2023: 33195-33208 - Mihaela Curmei
, Walid Krichene
, Li Zhang
, Mukund Sundararajan
:
Private Matrix Factorization with Public Item Features. RecSys 2023: 805-812 - Walid Krichene, Prateek Jain, Shuang Song, Mukund Sundararajan, Abhradeep Thakurta, Li Zhang:
Multi-Task Differential Privacy Under Distribution Skew. CoRR abs/2302.07975 (2023) - Sid Mittal, Vineet Gupta, Frederick Liu, Mukund Sundararajan:
Using Foundation Models to Detect Policy Violations with Minimal Supervision. CoRR abs/2306.06234 (2023) - Mihaela Curmei, Walid Krichene, Li Zhang, Mukund Sundararajan:
Private Matrix Factorization with Public Item Features. CoRR abs/2309.11516 (2023) - 2022
- Chih-Kuan Yeh, Ankur Taly, Mukund Sundararajan, Frederick Liu, Pradeep Ravikumar:
First is Better Than Last for Language Data Influence. NeurIPS 2022 - Mukund Sundararajan, Walid Krichene:
Reciprocity in Machine Learning. CoRR abs/2202.09480 (2022) - Chih-Kuan Yeh, Ankur Taly, Mukund Sundararajan, Frederick Liu, Pradeep Ravikumar:
First is Better Than Last for Training Data Influence. CoRR abs/2202.11844 (2022) - Arya Tafvizi, Besim Avci, Mukund Sundararajan:
Attributing AUC-ROC to Analyze Binary Classifier Performance. CoRR abs/2205.11781 (2022) - 2020
- Mukund Sundararajan, Qiqi Yan:
Robust mechanisms for risk-averse sellers. Games Econ. Behav. 124: 644-658 (2020) - Shawn Xu, Subhashini Venugopalan, Mukund Sundararajan:
Attribution in Scale and Space. CVPR 2020: 9677-9686 - Mukund Sundararajan, Kedar Dhamdhere, Ashish Agarwal:
The Shapley Taylor Interaction Index. ICML 2020: 9259-9268 - Mukund Sundararajan, Amir Najmi:
The Many Shapley Values for Model Explanation. ICML 2020: 9269-9278 - Garima Pruthi, Frederick Liu, Satyen Kale, Mukund Sundararajan:
Estimating Training Data Influence by Tracing Gradient Descent. NeurIPS 2020 - Garima Pruthi, Frederick Liu, Mukund Sundararajan, Satyen Kale:
Estimating Training Data Influence by Tracking Gradient Descent. CoRR abs/2002.08484 (2020) - Shawn Xu, Subhashini Venugopalan, Mukund Sundararajan:
Attribution in Scale and Space. CoRR abs/2004.03383 (2020) - Frederick Liu, Amir Najmi, Mukund Sundararajan:
The Penalty Imposed by Ablated Data Augmentation. CoRR abs/2006.04769 (2020) - 2019
- Mukundan Sundararajan, Priti Srikrishnan, Kiran Nayak, Siddharth K. Saraya:
Early determination of Optimal Test Flows with Requirements Analytics. IC3I 2019: 217-221 - Kedar Dhamdhere, Mukund Sundararajan, Qiqi Yan:
How Important is a Neuron. ICLR (Poster) 2019 - Mukund Sundararajan, Jinhua Xu, Ankur Taly, Rory Sayres, Amir Najmi:
Exploring Principled Visualizations for Deep Network Attributions. IUI Workshops 2019 - Ashish Agarwal, Kedar Dhamdhere, Mukund Sundararajan:
A New Interaction Index inspired by the Taylor Series. CoRR abs/1902.05622 (2019) - Mukund Sundararajan, Amir Najmi:
The many Shapley values for model explanation. CoRR abs/1908.08474 (2019) - 2018
- Shahar Dobzinski, Aranyak Mehta, Tim Roughgarden, Mukund Sundararajan:
Is Shapley cost sharing optimal? Games Econ. Behav. 108: 130-138 (2018) - Pramod Kaushik Mudrakarta, Ankur Taly, Mukund Sundararajan, Kedar Dhamdhere:
Did the Model Understand the Question? ACL (1) 2018: 1896-1906 - Matthias Ruhl, Mukund Sundararajan, Qiqi Yan:
The Cascading Analysts Algorithm. SIGMOD Conference 2018: 1083-1096 - Pramod Kaushik Mudrakarta, Ankur Taly, Mukund Sundararajan, Kedar Dhamdhere:
It was the training data pruning too! CoRR abs/1803.04579 (2018) - Pramod Kaushik Mudrakarta, Ankur Taly, Mukund Sundararajan, Kedar Dhamdhere:
Did the Model Understand the Question? CoRR abs/1805.05492 (2018) - Kedar Dhamdhere, Mukund Sundararajan, Qiqi Yan:
How Important Is a Neuron? CoRR abs/1805.12233 (2018) - Mukund Sundararajan, Ankur Taly:
A Note about: Local Explanation Methods for Deep Neural Networks lack Sensitivity to Parameter Values. CoRR abs/1806.04205 (2018)
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