Richard S. Zemel

2009
42	EE	Jasper Snoek, Jesse Hoey, Liam Stewart, Richard S. Zemel, Alex Mihailidis: Automated detection of unusual events on stairs. Image Vision Comput. 27(1-2): 153-166 (2009)
2008
41	EE	Xuming He, Richard S. Zemel: Latent topic random fields: Learning using a taxonomy of labels. CVPR 2008
40	EE	Edward Meeds, David A. Ross, Richard S. Zemel, Sam T. Roweis: Learning stick-figure models using nonparametric Bayesian priors over trees. CVPR 2008
39	EE	David A. Ross, Daniel Tarlow, Richard S. Zemel: Unsupervised Learning of Skeletons from Motion. ECCV (3) 2008: 560-573
38	EE	Rama Natarajan, Iain Murray, Ladan Shams, Richard S. Zemel: Characterizing response behavior in multisensory perception with conflicting cues. NIPS 2008: 1153-1160
37	EE	Xuming He, Richard S. Zemel: Learning Hybrid Models for Image Annotation with Partially Labeled Data. NIPS 2008: 625-632
36	EE	Daniel Tarlow, Richard S. Zemel, Brendan J. Frey: Flexible Priors for Exemplar-based Clustering. UAI 2008: 537-545
35	EE	F. Klam, Richard S. Zemel, Alexandre Pouget: Population Coding with Motion Energy Filters: The Impact of Correlations. Neural Computation 20(1): 146-175 (2008)
34	EE	Rama Natarajan, Quentin J. M. Huys, Peter Dayan, Richard S. Zemel: Encoding and Decoding Spikes for Dynamic Stimuli. Neural Computation 20(9): 2325-2360 (2008)
2007
33	EE	Quentin J. M. Huys, Richard S. Zemel, Rama Natarajan, Peter Dayan: Fast Population Coding. Neural Computation 19(2): 404-441 (2007)
2006
32	EE	Jasper Snoek, Jesse Hoey, Liam Stewart, Richard S. Zemel: Automated Detection of Unusual Events on Stairs. CRV 2006: 5
31	EE	Xuming He, Richard S. Zemel, Debajyoti Ray: Learning and Incorporating Top-Down Cues in Image Segmentation. ECCV (1) 2006: 338-351
30	EE	David A. Ross, Simon Osindero, Richard S. Zemel: Combining discriminative features to infer complex trajectories. ICML 2006: 761-768
29	EE	Xuming He, Richard S. Zemel, Volodymyr Mnih: Topological map learning from outdoor image sequences. J. Field Robotics 23(11-12): 1091-1104 (2006)
28	EE	David A. Ross, Richard S. Zemel: Learning Parts-Based Representations of Data. Journal of Machine Learning Research 7: 2369-2397 (2006)
2004
27	EE	Xuming He, Richard S. Zemel, Miguel Á. Carreira-Perpiñán: Multiscale Conditional Random Fields for Image Labeling. CVPR (2) 2004: 695-702
26	EE	Benjamin Marlin, Richard S. Zemel: The multiple multiplicative factor model for collaborative filtering. ICML 2004
25	EE	Richard S. Zemel, Quentin J. M. Huys, Rama Natarajan, Peter Dayan: Probabilistic Computation in Spiking Populations. NIPS 2004
24	EE	Miguel Á. Carreira-Perpiñán, Richard S. Zemel: Proximity Graphs for Clustering and Manifold Learning. NIPS 2004
2003
23		Max Welling, Richard S. Zemel, Geoffrey E. Hinton: Efficient Parametric Projection Pursuit Density Estimation. UAI 2003: 575-582
22		Craig Boutilier, Richard S. Zemel, Benjamin Marlin: Active Collaborative Filtering. UAI 2003: 98-106
2002
21	EE	David A. Ross, Richard S. Zemel: Multiple Cause Vector Quantization. NIPS 2002: 1017-1024
20	EE	Max Welling, Richard S. Zemel, Geoffrey E. Hinton: Self Supervised Boosting. NIPS 2002: 665-672
2001
19		Richard S. Zemel, Michael Mozer: Localist Attractor Networks. Neural Computation 13(5): 1045-1064 (2001)
2000
18		Richard S. Zemel, Toniann Pitassi: A Gradient-Based Boosting Algorithm for Regression Problems. NIPS 2000: 696-702
17	EE	Richard S. Zemel, Jonathan Pillow: Encoding multiple orientations in a recurrent network. Neurocomputing 32-33: 609-616 (2000)
1999
16	EE	Richard S. Zemel, Michael Mozer: A Generative Model for Attractor Dynamics. NIPS 1999: 80-88
15	EE	Zhiyong Yang, Richard S. Zemel: Managing Uncertainty in Cue Combination. NIPS 1999: 869-878
1998
14	EE	Richard S. Zemel, Peter Dayan: Distributional Population Codes and Multiple Motion Models. NIPS 1998: 174-182
13		Richard S. Zemel, Peter Dayan, Alexandre Pouget: Probabilistic Interpretation of Population Codes. Neural Computation 10(2): 403-430 (1998)
1997
12		Richard S. Zemel, Peter Dayan: Combining Probabilistic Population Codes. IJCAI 1997: 1114-1119
1996
11	EE	Richard S. Zemel, Peter Dayan, Alexandre Pouget: Probabilistic Interpretation of Population Codes. NIPS 1996: 676-684
10	EE	Michael S. Gray, Alexandre Pouget, Richard S. Zemel, Steven J. Nowlan, Terrence J. Sejnowski: Selective Integration: A Model for Disparity Estimation. NIPS 1996: 866-872
1995
9	EE	Peter Dayan, Geoffrey E. Hinton, Radford M. Neal, Richard S. Zemel: The Helmholtz machine. Neural Computation 7(5): 889-904 (1995)
8	EE	Richard S. Zemel, Christopher K. I. Williams, Michael Mozer: Lending direction to neural networks. Neural Networks 8(4): 503-512 (1995)
1994
7	EE	Richard S. Zemel, Terrence J. Sejnowski: Grouping Components of Three-Dimensional Moving Objects in Area MST of Visual Cortex. NIPS 1994: 165-172
1993
6	EE	Richard S. Zemel, Geoffrey E. Hinton: Developing Population Codes by Minimizing Description Length. NIPS 1993: 11-18
5	EE	Geoffrey E. Hinton, Richard S. Zemel: Autoencoders, Minimum Description Length and Helmholtz Free Energy. NIPS 1993: 3-10
1992
4	EE	Richard S. Zemel, Christopher K. I. Williams, Michael Mozer: Directional-Unit Boltzmann Machines. NIPS 1992: 172-179
1991
3	EE	Michael Mozer, Richard S. Zemel, Marlene Behrmann: Learning to Segment Images Using Dynamic Feature Binding. NIPS 1991: 436-443
1990
2	EE	Richard S. Zemel, Geoffrey E. Hinton: Discovering Viewpoint-Invariant Relationships That Characterize Objects. NIPS 1990: 299-305
1989
1	EE	Richard S. Zemel, Michael Mozer, Geoffrey E. Hinton: TRAFFIC: Recognizing Objects Using Hierarchical Reference Frame Transformations. NIPS 1989: 266-273

Coauthor Index

1	Marlene Behrmann	[3]
2	Craig Boutilier	[22]
3	Miguel Á. Carreira-Perpiñán	[24] [27]
4	Peter Dayan	[9] [11] [12] [13] [14] [25] [33] [34]
5	Brendan J. Frey	[36]
6	Michael S. Gray	[10]
7	Xuming He	[27] [29] [31] [37] [41]
8	Geoffrey E. Hinton	[1] [2] [5] [6] [9] [20] [23]
9	Jesse Hoey	[32] [42]
10	Quentin J. M. Huys	[25] [33] [34]
11	F. Klam	[35]
12	Benjamin Marlin	[22] [26]
13	Edward Meeds	[40]
14	Alex Mihailidis	[42]
15	Volodymyr Mnih	[29]
16	Michael C. Mozer (Michael Mozer)	[1] [3] [4] [8] [16] [19]
17	Iain Murray	[38]
18	Rama Natarajan	[25] [33] [34] [38]
19	Radford M. Neal	[9]
20	Steven J. Nowlan	[10]
21	Simon Osindero	[30]
22	Jonathan Pillow	[17]
23	Toniann Pitassi	[18]
24	Alexandre Pouget	[10] [11] [13] [35]
25	Debajyoti Ray	[31]
26	David A. Ross	[21] [28] [30] [39] [40]
27	Sam T. Roweis	[40]
28	Terrence J. Sejnowski	[7] [10]
29	Ladan Shams	[38]
30	Jasper Snoek	[32] [42]
31	Liam Stewart	[32] [42]
32	Daniel Tarlow	[36] [39]
33	Max Welling	[20] [23]
34	Christopher K. I. Williams	[4] [8]
35	Zhiyong Yang	[15]

Colors in the list of coauthors