- Umang Bhatt, Alice Xiang, Shubham Sharma, Adrian Weller, Ankur Taly, Yunhan Jia, Joydeep Ghosh, Ruchir Puri, José M. F. Moura, Peter Eckersley:
Explainable machine learning in deployment. FAT* 2020: 648-657 - Jette Henderson, Shubham Sharma, Alan H. Gee, Valeri Alexiev, Steve Draper, Carlos Marin, Yessel Hinojosa, Christine Draper, Michael Perng, Luis Aguirre, Michael Li, Sara Rouhani, Shorya Consul, Susan Michalski, Akarsh Prasad, Mayank Chutani, Aditya Kumar, Shahzad Alam, Prajna Kandarpa, Binnu Jesudasan, Colton Lee, Michael Criscolo, Sinead Williamson, Matt Sanchez, Joydeep Ghosh:
Certifai: A Toolkit for Building Trust in AI Systems. IJCAI 2020: 5249-5251 - Shubham Sharma, Alan H. Gee, David Paydarfar, Joydeep Ghosh:
FaiR-N: Fair and Robust Neural Networks for Structured Data. CoRR abs/2010.06113 (2020) - Aditya Jain, Manish Ravula, Joydeep Ghosh:
Biased Models Have Biased Explanations. CoRR abs/2012.10986 (2020) - 2019
- Dean Teffer, Ravi Srinivasan, Joydeep Ghosh:
AdaHash: hashing-based scalable, adaptive hierarchical clustering of streaming data on Mapreduce frameworks. Int. J. Data Sci. Anal. 8(3): 257-267 (2019) - Luiz F. S. Coletta, Moacir Ponti, Eduardo R. Hruschka, Ayan Acharya, Joydeep Ghosh:
Combining clustering and active learning for the detection and learning of new image classes. Neurocomputing 358: 150-165 (2019) - Rajiv Khanna, Been Kim, Joydeep Ghosh, Sanmi Koyejo:
Interpreting Black Box Predictions using Fisher Kernels. AISTATS 2019: 3382-3390 - Michael Motro, Joydeep Ghosh:
Scaling Data Association for Hypothesis-Oriented MHT. FUSION 2019: 1-8 - Alan H. Gee, Diego García-Olano, Joydeep Ghosh, David Paydarfar:
Explaining Deep Classification of Time-Series Data with Learned Prototypes. KDH@IJCAI 2019: 15-22 - Taewan Kim, Joydeep Ghosh:
On Single Source Robustness in Deep Fusion Models. NeurIPS 2019: 4815-4826 - Jette Henderson, Bradley A. Malin, Joshua C. Denny, Abel N. Kho, Jimeng Sun, Joydeep Ghosh, Joyce C. Ho:
CP Tensor Decomposition with Cannot-Link Intermode Constraints. SDM 2019: 711-719 - Dany Haddad, Joydeep Ghosh:
Learning More From Less: Towards Strengthening Weak Supervision for Ad-Hoc Retrieval. SIGIR 2019: 857-860 - Alan H. Gee, Diego García-Olano, Joydeep Ghosh, David Paydarfar:
Explaining Deep Classification of Time-Series Data with Learned Prototypes. CoRR abs/1904.08935 (2019) - Shubham Sharma, Jette Henderson, Joydeep Ghosh:
CERTIFAI: Counterfactual Explanations for Robustness, Transparency, Interpretability, and Fairness of Artificial Intelligence models. CoRR abs/1905.07857 (2019) - Taewan Kim, Joydeep Ghosh:
On Single Source Robustness in Deep Fusion Models. CoRR abs/1906.04691 (2019) - Dany Haddad, Joydeep Ghosh:
Learning More From Less: Towards Strengthening Weak Supervision for Ad-Hoc Retrieval. CoRR abs/1907.08657 (2019) - Shalmali Joshi, Oluwasanmi Koyejo, Warut Vijitbenjaronk, Been Kim, Joydeep Ghosh:
Towards Realistic Individual Recourse and Actionable Explanations in Black-Box Decision Making Systems. CoRR abs/1907.09615 (2019) - Michael Motro, Joydeep Ghosh:
Vehicular Multi-object Tracking with Persistent Detector Failures. CoRR abs/1907.11306 (2019) - Umang Bhatt, Alice Xiang, Shubham Sharma, Adrian Weller, Ankur Taly, Yunhan Jia, Joydeep Ghosh, Ruchir Puri, José M. F. Moura, Peter Eckersley:
Explainable Machine Learning in Deployment. CoRR abs/1909.06342 (2019) - 2018
- Rahi Kalantari, Joydeep Ghosh, Mingyuan Zhou:
Nonparametric Bayesian sparse graph linear dynamical systems. AISTATS 2018: 1952-1960 - Francesco Locatello, Rajiv Khanna, Joydeep Ghosh, Gunnar Rätsch:
Boosting Variational Inference: an Optimization Perspective. AISTATS 2018: 464-472 - Jette Henderson, Huan He, Bradley A. Malin, Joshua C. Denny, Abel N. Kho, Joydeep Ghosh, Joyce C. Ho:
Phenotyping through Semi-Supervised Tensor Factorization (PSST). AMIA 2018 - Alan H. Gee, Joshua Chang, Joydeep Ghosh, David Paydarfar:
Bayesian Online Changepoint Detection Of Physiological Transitions. EMBC 2018: 45-48 - Michael Motro, Joydeep Ghosh:
Measurement-Wise Occlusion in Multi-Object Tracking. FUSION 2018: 2384-2391 - Dean Teffer, Joydeep Ghosh:
Non-parametric Discovery of Topics and Communities in Distributed and Streaming Environments. INISTA 2018: 1-7 - Taewan Kim, Michael Motro, Patricia Lavieri, Saharsh Samir Oza, Joydeep Ghosh, Chandra R. Bhat:
Pedestrian Detection with Simplified Depth Prediction. ITSC 2018: 2712-2717 - Ayan Acharya, Joydeep Ghosh, Mingyuan Zhou:
A Dual Markov Chain Topic Model for Dynamic Environments. KDD 2018: 1099-1108 - Shalmali Joshi, Rajiv Khanna, Joydeep Ghosh:
Co-regularized Monotone Retargeting for Semi-supervised LeTOR. SDM 2018: 432-440 - Michael Motro, Joydeep Ghosh:
Measurement-wise Occlusion in Multi-object Tracking. CoRR abs/1805.08324 (2018)