A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
Revisiting Uncertainty in Graph Cut Solutions. Tarlow, D, Adams RP.  IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2012.   { PDF | Google Scholar | BibTex }
Bootstrap Learning Via Modular Concept Discovery. Dechter, E, Malmaud J, Adams RP, Tenenbaum JB.  23rd International Joint Conference on Artificial Intelligence. 2013.   { PDF | Google Scholar | BibTex }
Contrastive Learning Using Spectral Methods. Zou, J, Hsu D, Parkes D, Adams RP.  Advances in Neural Information Processing Systems 26. 2013.   { PDF | Google Scholar | BibTex }
Tractable Nonparametric Bayesian Inference in Poisson Processes with Gaussian Process Intensities. Adams, RP, Murray I, MacKay DJC.  Proceedings of the 26th International Conference on Machine Learning. 2009.   { PDF | Code | Google Scholar | BibTex } Honorable Mention for Best Student Paper
Training Restricted Boltzmann Machines on Word Observations. Dahl, GE, Adams RP, Larochelle H.  Proceedings of the 29th International Conference on Machine Learning. 2012.   { arXiv:1202.5695 [cs.LG] | PDF | Google Scholar | BibTex }
Learning Ordered Representations with Nested Dropout. Rippel, O, Gelbart MA, Adams RP.  Thirty-First International Conference on Machine Learning (ICML). 2014.   { arXiv:1402.0915 [stat.ML] | PDF | Google Scholar | BibTex }
Avoiding Pathologies in Very Deep Networks. Duvenaud, D, Rippel O, Adams RP, Ghahramani Z.  Seventeenth International Conference on Artificial Intelligence and Statistics (AISTATS). 2014.   { arXiv:1402.5836 [stat.ML] | PDF | Code | Google Scholar | BibTex }
Priors for Diversity in Generative Latent Variable Models. Zou, JY, Adams RP.  Advances in Neural Information Processing Systems 25. 2012.   { PDF | Google Scholar | BibTex }
Learning Ordered Representations with Nested Dropout. Rippel, O, Gelbart MA, Adams RP.  Thirty-First International Conference on Machine Learning (ICML). 2014.   { arXiv:1402.0915 [stat.ML] | PDF | Google Scholar | BibTex }
Tractable Nonparametric Bayesian Inference in Poisson Processes with Gaussian Process Intensities. Adams, RP, Murray I, MacKay DJC.  Proceedings of the 26th International Conference on Machine Learning. 2009.   { PDF | Code | Google Scholar | BibTex } Honorable Mention for Best Student Paper
Archipelago: Nonparametric Bayesian Semi-Supervised Learning. Adams, RP, Ghahramani Z.  Proceedings of the 26th International Conference on Machine Learning. 2009.   { PDF | Google Scholar | BibTex } Honourable Mention for Best Paper
Gaussian Process Kernels for Pattern Discovery and Extrapolation. Wilson, AG, Adams RP.  Proceedings of the 30th International Conference on Machine Learning. 2013.   { arXiv:1302.4245 [stat.ML] | PDF | Code | Google Scholar | BibTex }