| Dec 9, 2009 | Tea Talk | TBA: |
| Dec 2, 2009 | Tea Talk | Tijmen Tieleman: |
| Nov 25, 2009 | Tea Talk | Arnold Binas: |
| Nov 18, 2009 | Tea Talk | Tanya Schmah: Dense Image Registration through MRFs and Efficient Linear Programming
B. Glocker, N. Komodakis, G. Tziritas, N. Navab, N. Paragios
Medical Image Analysis, Volume 12, Issue 6, December 2008, pp. 731-741 |
| Nov 11, 2009 | Tea Talk | Josh Susskind: B. Theobald, Iain Matthews, Jeffrey Cohn, and S. Boker, "Real-time
expression cloning using active appearance models," Proceedings of the
ACM International Conference on Multimodal Interfaces (ICMI'07), 2007,
pp. 134 - 139. |
| Nov 4, 2009 | Tea Talk | Martin Renqiang Min: large margins in
deep learning and my previous experience on learning large-margin
classifiers for gene expression data analysis in a deep learning framework.
R. Min, D. A. Stanley, Z. Yuan, A. Bonner, and Z. Zhang.
A Deep Non-Linear Feature Mapping for Large-Margin kNN Classification.
IEEE International Conference on Data Mining (ICDM 2009).
|
| Oct 28, 2009 | Tea Talk | Danny Tarlow: Joint optimization of segmentation and appearance models
Sara Vicente, Vladimir Komogorov, Carsten Rother |
| Oct 21, 2009 | Tea Talk | Ben Marlin: Max Margin Restricted Boltzmann Machines. |
| Oct 14, 2009 | Tea Talk | Clement Chung: Markov clustering versus affinity propagation for the partitioning of
protein interaction graphs
by James Vlasblom and Shoshana J Wodak |
| Sep 23, 2009 | Tea Talk | George Dahl: Nearest Neighbors in High-Dimensional Data: The Emergence and
Influence of Hubs, by Milos Radovanovic, Alexandros Nanopoulos and Mirjana Ivanovic |
| Sep 16, 2009 | Tea Talk | Jasper Snoek: Healing the Relevance Vector Machine through Augmentation, by Carl
Rasmussen and Joaquin Quinonero-Candela |
| Sep 9, 2009 | Tea Talk | Vlad Mnih: Integrating CUDA into python, by Vlad Mnih |
| Sep 2, 2009 | Tea Talk | David Warde-Farley: Herding Dynamic Weights to Learn, by Max Welling |
| Aug 26, 2009 | Tea Talk | Alex Krizhevsky: Recent results on training
autoencoders for image retrieval, by Alex Krizhevsky |
| Aug 19, 2009 | Tea Talk | Maksims Volkovs: Bayesian inference for Plackett-Luce ranking models, by Guiver and Esnelson |
| Aug 12, 2009 | Tea Talk | Hugo Larochelle: Emergence of complex cell
properties by learning to
generalize in natural scenes, by Yan Karklin & Michael S. Lewicki |
| Jul 29, 2009 | Tea Talk | Ilya Sutskever: Spectral Hashing, by Weiss, Torralba, and Fergus, |
| Jul 22, 2009 | Tea Talk | Iain Murray: Split variational inference, by by Bouchard, G. and Zoeter, O. |
| Jul 15, 2009 | Tea Talk | James Martens: Curriculum Learning |
| Jul 8, 2009 | Tea Talk | Marc'Aurelio Ranzato: Learning features by contrasting natural images with noise. Proc. Int. Conf. on Artificial Neural Networks,
by Limassol, Cyprus, 2009. |
| Jun 10, 2009 | Tea Talk | Sonya Allin: Neural control of computer cursor velocity by decoding motor cortical spiking activity in humans with tetraplegia,
|
| May 20, 2009 | Tea Talk | Vincent Cheung:
Epitomic location recognition |
| May 13, 2009 | Tea Talk | Jim Huang: Factorial mixture of Gaussians and the marginal independence model.
Silva, R. and Ghahramani, Z |
| Apr 29, 2009 | Tea Talk | Ilya Sutskever: Linear spatial pyramid matching using sparse coding for image classification
by Yang, Yu, Gong, and Huang |
| Apr 22, 2009 | Tea Talk | Maks Volkvos: COFIRANK - Maximum Margin Matrix Factorization for Collaborative Ranking |
| Apr 15, 2009 | Tea Talk | Ilya Sutskever: Backpropagation can train sigmoid belief networks. |
| Apr 8, 2009 | Tea Talk | Arnold Binas: "Fast Solvers and Efficient Implementations for Distance Metric Learning" |
| Apr 1, 2009 | Tea Talk | Laurent Charlin: A Joint Model of Text and Aspect Ratings for Sentiment Summarization |
| Mar 25, 2009 | Tea Talk | Vlad Mnih: "Topmoumoute online natural gradient algorithm"
by Le Roux, Manzagol, Bengio. |
| Mar 18, 2009 | Tea Talk | Geoff Hinton: Robust Object Recognition with Cortex-Like Mechanisms,
by Thomas Serre, Lior Wolf, Stanley Bileschi, Maximilian Riesenhuber, and Tomaso Poggio
|
| Mar 11, 2009 | Tea Talk | George Dahl
:
Efficient auditory coding
by Smith and Lewicki |
| Mar 4, 2009 | Tea Talk | Ilya Sutskever: Representing structured knowledge using hierarchical Bayesian models. |
| Feb 25, 2009 | Tea Talk | Eddie Ng: Most Likely Heteroscedastic Gaussian Process Regression
By Kersting, Plagemann, Pfaff, and Burgard. |
| Feb 11, 2009 | Tea Talk | Andriy Mnih: Topic Models Conditioned on Arbitrary Features with Dirichlet-multinomial Regression.,
by David Mimno and Andrew McCallum |
| Feb 4, 2009 | Tea Talk | Ruslan Salakhutdinov: Fixing max-product: Convergent message passing algorithms for MAP LP-relaxations, by Amir Globerson , Tommi Jaakkola
|
| Jan 21, 2009 | Tea Talk | David Warde-Farley: Efficient Inference in Phylogenetic InDel Trees by Bouchard-Cote, Jordan, and Klein.
|
| Jan 14, 2009 | Tea Talk | Jasper Snoek: Histograms of Oriented Gradients for Human Detection by Dalal and Triggs. |
| Dec 3, 2008 | Tea Talk | Alex Krizhevsky: An efficient parallel algorithm for Contrastive Divergence.
|
| Nov 26, 2008 | Tea Talk | Graham Taylor: Chapter 6 of Probabilistic Models for Music, Jean-Francois Paiement, PhD thesis |
| Sep 1, 2008 | Tea Talk | Past Tea Talks |