The Association for the Advancement of Artificial Intelligence is an annual conference on promote research in artificial intelligence. AAAI incorporates a diverse technical track, student abstracts, poster sessions, tutorials, workshops and competition programs. It is ranked as one of the top conferences in the field of Artificial Intelligence by Google Scholar. AAAI 2017 was held in San Francisco from February 4-9, 2017.
A total of 638 papers out 2,590 papers were accepted in AAAI 2017. US tops the chart and has been the top research contributor with the highest number of accepts. China has a significant increase in its accepts from 2016, whereas the figures for UK, Canada and India dropped, with lesser number of accepts in 2017.
| S.No | |||
| 1. | Oak S. | Depression detection and analysis | |
| 2. | Bhattacharyya M. | In search of health doubles | |
| 3. | Chatterjee S., Mukhopadhyay A., Bhattacharyya M. | Smart city planning with constrained crowd judgment analysis | |
| 4. | Rai P. | Non-negative inductive matrix completion for discrete dyadic data | |
| 5. | Ghosh A., Bhattacharya B., Chowdhury S.B.R. | Handwriting profiling using generative adversarial networks | |
| 6. | Bhattacharya S., Rajan V., Shrivastava H. | ICU mortality prediction: A classification algorithm for imbalanced datasets | |
| 7. | Chaudhuri A.R., Kalyanakrishnan S. | PAC identification of a bandit arm relative to a reward quantile | |
| 8. | Dey P. | Query complexity of tournament solutions | |
| 9. | Gupta R., Pal S., Kanade A., Shevade S. | DeepFix: Fixing Common C language errors by deep learning | |
| 10. | Lakshminarayanan A.S., Sharma S., Ravindran B. | Dynamic action repetition for deep reinforcement learning | |
| 11. | Kumar S., Rengarajan P., Annie A.X. | Wikitop: Using wikipedia category network to generate topic trees | |
| 12. | Aswani R., Munnangi S.K., Paruchuri P. | Improving surveillance using cooperative target observation | |
| 13. | Ghosh A., Kumar H., Sastry P.S. | Robust loss functions under label noise for deep neural networks | |
| 14. | Fatma N., Chinnakotla M.K., Shrivastava M. | The unusual suspects: Deep learning based mining of interesting entity trivia from knowledge graphs | |
| 15. | Joshi A., Kanojia D., Bhattacharyya P., Carman M. | Sarcasm suite: A browser-based engine for sarcasm detection and generation | |
| 16. | Aggarwal A., Ghoshal S., Ankith M.S., Sinha S., Ramakrishnan G., Kar P., Jain P. | Scalable optimization of multivariate performance measures in multi-instance multi-label learning | |
| 17. | Ghosh A., Chowdhury S.R., Gopalan A. | Misspecified linear bandits | |
| 18. | Gopalan A., Prashanth L.A., Fu M., Marcus S. | Weighted bandits or: How bandits learn distorted values that are not expected | |
| 19. | Batra N., Wang H., Singh A., Whitehouse K. | Matrix factorisation for scalable energy breakdown | |
| 20. | Niranjan U.N., Rajkumar A. | Inductive pairwise ranking: Going beyond the n log(n) barrier | |
| 21. | Maheshwari T., Reganti A.N., Kumar U., Chakraborty T., Das A. | Semantic interpretation of social network communities | |
| 22. | Kulharia V., Ghosh A., Mukerjee A., Namboodiri V., Bansal M. | Contextual RNN-GANs for abstract reasoning diagram generation | |
| 23. | Simon S., Wojtczak D. | Constrained pure nash equilibria in polymatrix games |