2020 AI for Social Good Workshop
Bibliographic References tagged with 2020 AI for Social Good Workshop
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Killian, J. A., Perrault, A. & Tambe, M. Beyond “To Act or Not to Act”: Fast Lagrangian Approaches to General Multi-Action Restless Bandits. IJCAI 2021 Workshop on AI for Social Good (2021).
Killian, J. A., Perrault, A. & Tambe, M. Beyond “To Act or Not to Act”: Fast Lagrangian Approaches to General Multi-Action Restless Bandits. IJCAI 2021 Workshop on AI for Social Good (2021).
Sarkar, R., Mahinder, S., Sarkar, H. & KhudaBukhsh, A. R. Social Media Attributions in the Context of Water Crisis. in IJCAI 2021 Workshop on AI for Social Good (2021).
Sarkar, R., Mahinder, S., Sarkar, H. & KhudaBukhsh, A. R. Social Media Attributions in the Context of Water Crisis. in IJCAI 2021 Workshop on AI for Social Good (2021).
Gupta, U., Ferber, A., Dilkina, B. & Steeg, G. V. Controllable Guarantees for Fair Outcomes via Contrastive Information Estimation. in IJCAI 2021 Workshop on AI for Social Good (2021).
Gupta, U., Ferber, A., Dilkina, B. & Steeg, G. V. Controllable Guarantees for Fair Outcomes via Contrastive Information Estimation. in IJCAI 2021 Workshop on AI for Social Good (2021).
Choi, B. & Kamalu, J. Crowd-Sourced Road Quality Mapping in the Developing World. in IJCAI 2021 Workshop on AI for Social Good (2021).
Choi, B. & Kamalu, J. Crowd-Sourced Road Quality Mapping in the Developing World. in IJCAI 2021 Workshop on AI for Social Good (2021).
Tolkova, I. Feature Representations for Conservation Bioacoustics: Review and Discussion. in IJCAI 2021 Workshop on AI for Social Good (2021).
Tolkova, I. Feature Representations for Conservation Bioacoustics: Review and Discussion. in IJCAI 2021 Workshop on AI for Social Good (2021).
Kung, C. & Yu, R. Interpretable Models Do Not Compromise Accuracy or Fairness in Predicting College Success. in IJCAI 2021 Workshop on AI for Social Good (2021).
Kung, C. & Yu, R. Interpretable Models Do Not Compromise Accuracy or Fairness in Predicting College Success. in IJCAI 2021 Workshop on AI for Social Good (2021).
Khadilkar, K. & KhudaBukhsh, A. R. An Unfair Affinity Toward Fairness: Characterizing 70 Years of Social Biases in BHollywood. in IJCAI 2021 Workshop on AI for Social Good (2021).
Khadilkar, K. & KhudaBukhsh, A. R. An Unfair Affinity Toward Fairness: Characterizing 70 Years of Social Biases in BHollywood. in IJCAI 2021 Workshop on AI for Social Good (2021).
Gerani, S. et al. Reducing suicide contagion effect by detecting sentences from media reports with explicit methods of suicide. in IJCAI 2021 Workshop on AI for Social Good (2021).
Gerani, S. et al. Reducing suicide contagion effect by detecting sentences from media reports with explicit methods of suicide. in IJCAI 2021 Workshop on AI for Social Good (2021).
Leung, R. How can computer vision widen the evidence base around on-screen representation. in IJCAI 2021 Workshop on AI for Social Good (2021).
Leung, R. How can computer vision widen the evidence base around on-screen representation. in IJCAI 2021 Workshop on AI for Social Good (2021).
Morrison, K. Reducing Discrimination in Learning Algorithms for Social Good in Sociotechnical Systems. in IJCAI 2021 Workshop on AI for Social Good (2021).
Morrison, K. Reducing Discrimination in Learning Algorithms for Social Good in Sociotechnical Systems. in IJCAI 2021 Workshop on AI for Social Good (2021).