Conference Paper (144)

241.
Conference Paper
Li, Y.; Bradshaw, J.; Sharma, Y.: Are Generative Classifiers More Robust to Adversarial Attacks? In: 36th International Conference on Machine Learning (ICML 2019), Vol. 10, pp. 6754 - 6783 (Eds. Chaudhuri, K.; Salakhutdinov, R.). 36th International Conference on Machine Learning (ICML 2019), Long Beach, CA, June 09, 2019 - June 15, 2019. Curran Associates, Inc., Red Hook, NY (2019)
242.
Conference Paper
Locatello, F.; Bauer, S.; Lucic, M.; Raetsch, G.; Gelly, S.; Schölkopf, B.; Bachem, O.: Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations. In: 36th International Conference on Machine Learning (ICML 2019), Vol. 11, pp. 7247 - 7283 (Eds. Chaudhuri, K.; Salakhutdinov, R.). 36th International Conference on Machine Learning (ICML 2019), Long Beach, CA, June 09, 2019 - June 15, 2019. Curran Associates, Inc., Red Hook, NY (2019)
243.
Conference Paper
Mohnert, F.; Pachur, T.; Lieder, F.: What's in the Adaptive Toolbox and How Do People Choose From It? Rational Models of Strategy Selection in Risky Choice. In: 41st Annual Meeting of the Cognitive Science Society (CogSci 2019), Vol. 4, pp. 2378 - 2384. 41st Annual Meeting of the Cognitive Science Society (CogSci 2019), Montreal, July 24, 2019 - July 27, 2019. Curran Associates, Inc., Red Hook, NY (2019)
244.
Conference Paper
Peharz, R.; Vergari, A.; Stelzner, K.; Molina, A.; Shao, X.; Trapp, M.; Kersting, K.; Ghahramani, Z.: Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning. In: 35th Conference on Uncertainty in Artificial Intelligence (UAI 2019), Vol. 1, 124, pp. 460 - 477. 35th Conference on Uncertainty in Artificial Intelligence (UAI 2019), Tel Aviv, July 22, 2019 - July 25, 2019. Curran Associates, Inc., Red Hook, NY (2019)
245.
Conference Paper
Pothos, E. M.; Busemeyer, J. R.; Pleskac, T.; Yearsley, J. M.; Tenenbaum, J. B.; Goodman, N. D.; Tessler, M. H.; Griffiths, T. L.; Lieder, F.; Hertwig, R. et al.; Pachur, T.; Leuker, C.; Shiffrin, R. M.: Extending Rationality. In: 41st Annual Meeting of the Cognitive Science Society (CogSci 2019), Vol. 1, pp. 39 - 40. 41st Annual Conference of the Cognitive Science Society (CogSci 2019), Montreal, July 24, 2019 - July 27, 2019. Curran Associates, Inc., Red Hook, NY (2019)
246.
Conference Paper
Simon-Gabriel, C.-J.; Ollivier, Y.; Schölkopf, B.; Bottou, L.; Lopez-Paz, D.: First-order Adversarial Vulnerability of Neural Networks and Input Dimension. In: 36th International Conference on Machine Learning (ICML 2019), Vol. 15, pp. 10184 - 10203 (Eds. Chaudhuri, K.; Salakhutdinov, R.). 36th International Conference on Machine Learning (ICML 2019), Long Beach, CA, June 09, 2019 - June 15, 2019. Curran Associates, Inc., Red Hook, NY (2019)
247.
Conference Paper
Suter, R.; Miladinovic, D.; Schölkopf, B.; Bauer, S.: Robustly Disentangled Causal Mechanisms: Validating Deep Representations for Interventional Robustness. In: 36th International Conference on Machine Learning (ICML 2019), Vol. 16, pp. 10593 - 10616 (Eds. Chaudhuri, K.; Salakhutdinov, R.). 36th International Conference on Machine Learning (ICML 2019), Long Beach, CA, June 09, 2019 - June 15, 2019. Curran Associates, Inc., Red Hook, NY (2019)
248.
Conference Paper
Vardar, Y.; Wallraven, C.; Kuchenbecker, K. J.: Fingertip Interaction Metrics Correlate with Visual and Haptic Perception of Real Surfaces. In: 2019 IEEE World Haptics Conference (WHC 2019), pp. 395 - 400. IEEE World Haptics Conference (WHC 2019) , Tokyo, July 09, 2019 - July 12, 2019. IEEE, Piscataway, NJ (2019)
249.
Conference Paper
Wirzberger, M.; Borst, J. P.; Krems, J. F.; Rey, G. D.: An ACT-R approach to investigating mechanisms of performance-related changes in an interrupted learning task. In: 41st Annual Meeting of the Cognitive Science Society (CogSci 2019), Vol. 2, pp. 1206 - 1211. 41st Annual Meeting of the Cognitive Science Society (CogSci 2019), Montreal, July 24, 2019 - July 27, 2019. Curran Associates, Inc., Red Hook, NY (2019)
250.
Conference Paper
Xu, L.; Wirzberger, M.; Lieder, F.: How should we incentivize learning? An optimal feedback mechanism for educational games and online courses. In: 41st Annual Meeting of the Cognitive Science Society (CogSci 2019), Vol. 5, pp. 3136 - 3142. 41st Annual Meeting of the Cognitive Science Society (CogSci 2019), Montreal, July 24, 2019 - July 27, 2019. Curran Associates, Inc., Red Hook, NY (2019)
251.
Conference Paper
Thaler, A.; Pujades, S.; Stefanucci, J. K.; Creem-Regehr, S. H.; Tesch, J.; Black, M. J.; Mohler, B. J.: The Influence of Visual Perspective on Body Size Estimation in Immersive Virtual Reality. In: SAP '19: ACM Symposium on Applied Perception 2019, 5 (Ed. Spencer, S. N.). ACM Symposium on Applied Perception (SAP 2019), Barcelona, September 19, 2019 - September 20, 2019. ACM, New York, NY (2019)
252.
Conference Paper
Adel, T.; Valera, I.; Ghahramani, Z.; Weller, A.: One-Network Adversarial Fairness. In: The Thirty-Third AAAI Conference on Artificial Intelligence, the Thirty-First Innovative Applications of Artificial Intelligence Conference, the Ninth AAAI Symposium on Educational Advances in Artificial Intelligence, pp. 2412 - 2420. Thirty-Third AAAI Conference on Artificial Intelligence (AAAI 2019), Thirty-First Innovative Applications of Artificial Intelligence Conference (IAAI 2019), Ninth Symposium on Educational Advances in Artificial Intelligence (EAAI 2019), Honolulu, HI, January 27, 2019 - February 01, 2019. AAAI Press, Palo Alto, CA (2019)
253.
Conference Paper
Ghosh, P.; Losalka, A.; Black, M. J.: Resisting Adversarial Attacks Using Gaussian Mixture Variational Autoencoders. In: The Thirty-Third AAAI Conference on Artificial Intelligence, the Thirty-First Innovative Applications of Artificial Intelligence Conference, the Ninth AAAI Symposium on Educational Advances in Artificial Intelligence, pp. 541 - 548. Thirty-Third AAAI Conference on Artificial Intelligence (AAAI 2019), Thirty-First Innovative Applications of Artificial Intelligence Conference (IAAI 2019), Ninth AAAI Symposium on Educational Advances in Artificial Intelligence (EAAI 2019), Honolulu, HI, January 27, 2019 - February 01, 2019. AAAI Press, Palo Alto, CA (2019)
254.
Conference Paper
Vergari, A.; Molina, A.; Peharz, R.; Ghahramani, Z.; Kersting, K.; Valera, I.: Automatic Bayesian Density Analysis. In: The Thirty-Third AAAI Conference on Artificial Intelligence, the Thirty-First Innovative Applications of Artificial Intelligence Conference, the Ninth AAAI Symposium on Educational Advances in Artificial Intelligence, pp. 5207 - 5215. Thirty-Third AAAI Conference on Artificial Intelligence (AAAI 2019), Thirty-First Innovative Applications of Artificial Intelligence Conference (IAAI 2019), Ninth Symposium on Educational Advances in Artificial Intelligence (EAAI 2019), Honolulu, HI, January 27, 2019 - February 01, 2019. AAAI Press, Palo Alto, CA (2019)
255.
Conference Paper
Geirhos, R.; Temme, C.R.M.; Rauber, J.; Schütt, H.; Bethge, M.; Wichmann, F.: Generalisation in humans and deep neural networks. In: Advances in Neural Information Processing Systems 31, Vol. 11, pp. 7538 - 7550 (Eds. Bengio, S.; Wallach, H.; Larochelle, H.; Grauman, K.; Cesa-Bianchi , N.). 32nd Conference on Neural Information Processing Systems (NeurIPS 2018), Montreal, December 02, 2018 - December 08, 2018. Curran Associates, Inc., Red Hook, NY (2019)
256.
Conference Paper
Ghoshdastidar, D.; von Luxburg, U.: Practical Methods for Graph Two-Sample Testing. In: Advances in Neural Information Processing Systems 31, Vol. 5, pp. 3015 - 3024 (Eds. Bengio, S.; Wallach, H.; Larochelle, H.; Grauman, K.; Cesa-Bianchi, N. et al.). 32nd Conference on Neural Information Processing Systems (NeurIPS 2018), Montreal, December 02, 2018 - December 08, 2018. Curran Associates, Inc., Red Hook, NY (2019)
257.
Conference Paper
Jitkrittum, W.; Kanagawa, H.; Sangkloy, P.; Hays, J.; Schölkopf, B.: Informative Features for Model Comparison. In: Advances in Neural Information Processing Systems 31, Vol. 2, pp. 808 - 819 (Eds. Bengio, S.; Wallach, H.; Larochelle, H.; Grauman, K.; Cesa-Bianchi , N.). 32nd Conference on Neural Information Processing Systems (NeurIPS 2018), Montreal, December 02, 2018 - December 08, 2018. Curran Associates, Inc., Red Hook, NY (2019)
258.
Conference Paper
Locatello, F.; Dresdner, G.R.K.; Khanna, R.; Valera, I.; Rätsch, G.: Boosting Black Box Variational Inference. In: Advances in Neural Information Processing Systems 31, Vol. 5, pp. 3401 - 3411 (Eds. Bengio, S.; Wallach, H.; Larochelle, H.; Grauman, K.; Cesa-Bianchi , N.). 32nd Conference on Neural Information Processing Systems (NeurIPS 2018), Montreal, December 02, 2018 - December 08, 2018. Curran Associates, Inc., Red Hook, NY (2019)
259.
Conference Paper
Nachum, O.; Gu, S.; Lee, H.; Levine, S.: Data-Efficient Hierarchical Reinforcement Learning. In: Advances in Neural Information Processing Systems 31, Vol. 5, pp. 3303 - 3313 (Eds. Bengio, S.; Wallach, H.; Larochelle, H.; Grauman, K.; Cesa-Bianchi , N.). 32nd Conference on Neural Information Processing Systems (NeurIPS 2018), Montreal, December 02, 2018 - December 08, 2018. Curran Associates, Inc., Red Hook, NY (2019)
260.
Conference Paper
Neitz, A.; Parascandolo, G.; Bauer, S.; Schölkopf, B.: Adaptive Skip Intervals: Temporal Abstraction for Recurrent Dynamical Models. In: Advances in Neural Information Processing Systems 31, Vol. 14, pp. 9816 - 9826 (Eds. Bengio, S.; Wallach, H.; Larochelle, H.; Grauman, K.; Cesa-Bianchi, N. et al.). 32nd Conference on Neural Information Processing Systems (NeurIPS 2018) , Montreal, December 02, 2018 - December 08, 2018. Curran Associates, Inc., Red Hook, NY (2019)
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