Conference Paper (144)
241.
Conference Paper
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)
Are Generative Classifiers More Robust to Adversarial Attacks? In: 36th International Conference on Machine Learning (ICML 2019), Vol. 242.
Conference Paper
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)
Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations. In: 36th International Conference on Machine Learning (ICML 2019), Vol. 243.
Conference Paper
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)
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. 244.
Conference Paper
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)
Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning. In: 35th Conference on Uncertainty in Artificial Intelligence (UAI 2019), Vol. 245.
Conference Paper
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)
Extending Rationality. In: 41st Annual Meeting of the Cognitive Science Society (CogSci 2019), Vol. 246.
Conference Paper
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)
First-order Adversarial Vulnerability of Neural Networks and Input Dimension. In: 36th International Conference on Machine Learning (ICML 2019), Vol. 247.
Conference Paper
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)
Robustly Disentangled Causal Mechanisms: Validating Deep Representations for Interventional Robustness. In: 36th International Conference on Machine Learning (ICML 2019), Vol. 248.
Conference Paper
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
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)
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. 250.
Conference Paper
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)
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. 251.
Conference Paper
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
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
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
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
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)
Generalisation in humans and deep neural networks. In: Advances in Neural Information Processing Systems 31, Vol. 256.
Conference Paper
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)
Practical Methods for Graph Two-Sample Testing. In: Advances in Neural Information Processing Systems 31, Vol. 257.
Conference Paper
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)
Informative Features for Model Comparison. In: Advances in Neural Information Processing Systems 31, Vol. 258.
Conference Paper
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)
Boosting Black Box Variational Inference. In: Advances in Neural Information Processing Systems 31, Vol. 259.
Conference Paper
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)
Data-Efficient Hierarchical Reinforcement Learning. In: Advances in Neural Information Processing Systems 31, Vol. 260.
Conference Paper
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)
Adaptive Skip Intervals: Temporal Abstraction for Recurrent Dynamical Models. In: Advances in Neural Information Processing Systems 31, Vol.