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Roland Memisevic
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2020 – today
- 2024
- [c38]Apratim Bhattacharyya, Sunny Panchal, Reza Pourreza, Mingu Lee, Pulkit Madan, Roland Memisevic:
Look, Remember and Reason: Grounded Reasoning in Videos with Language Models. ICLR 2024 - [i27]Sunny Panchal, Apratim Bhattacharyya, Guillaume Berger, Antoine Mercier, Cornelius Böhm, Florian Dietrichkeit, Reza Pourreza, Xuanlin Li, Pulkit Madan, Mingu Lee, Mark Todorovich, Ingo Bax, Roland Memisevic:
Live Fitness Coaching as a Testbed for Situated Interaction. CoRR abs/2407.08101 (2024) - [i26]MohammadReza Ebrahimi, Sunny Panchal, Roland Memisevic:
Your Context Is Not an Array: Unveiling Random Access Limitations in Transformers. CoRR abs/2408.05506 (2024) - [i25]Rishit Dagli, Guillaume Berger, Joanna Materzynska, Ingo Bax, Roland Memisevic:
AirLetters: An Open Video Dataset of Characters Drawn in the Air. CoRR abs/2410.02921 (2024) - 2023
- [c37]Reza Pourreza, Apratim Bhattacharyya, Sunny Panchal, Mingu Lee, Pulkit Madan, Roland Memisevic:
Painter: Teaching Auto-regressive Language Models to Draw Sketches. ICCV (Workshops) 2023: 305-314 - [c36]Zhan Ling, Yunhao Fang, Xuanlin Li, Zhiao Huang, Mingu Lee, Roland Memisevic, Hao Su:
Deductive Verification of Chain-of-Thought Reasoning. NeurIPS 2023 - [i24]Antoine Mercier, Guillaume Berger, Sunny Panchal, Florian Letsch, Cornelius Böhm, Nahua Kang, Ingo Bax, Roland Memisevic:
Is end-to-end learning enough for fitness activity recognition? CoRR abs/2305.08191 (2023) - [i23]Zhan Ling, Yunhao Fang, Xuanlin Li, Zhiao Huang, Mingu Lee, Roland Memisevic, Hao Su:
Deductive Verification of Chain-of-Thought Reasoning. CoRR abs/2306.03872 (2023) - [i22]Apratim Bhattacharyya, Sunny Panchal, Mingu Lee, Reza Pourreza, Pulkit Madan, Roland Memisevic:
Look, Remember and Reason: Visual Reasoning with Grounded Rationales. CoRR abs/2306.17778 (2023) - [i21]Reza Pourreza, Apratim Bhattacharyya, Sunny Panchal, Mingu Lee, Pulkit Madan, Roland Memisevic:
Painter: Teaching Auto-regressive Language Models to Draw Sketches. CoRR abs/2308.08520 (2023) - [i20]Zhan Ling, Yunhao Fang, Xuanlin Li, Tongzhou Mu, Mingu Lee, Reza Pourreza, Roland Memisevic, Hao Su:
Unleashing the Creative Mind: Language Model As Hierarchical Policy For Improved Exploration on Challenging Problem Solving. CoRR abs/2311.00694 (2023) - 2022
- [i19]Roland Memisevic:
Metaphors We Learn By. CoRR abs/2211.06441 (2022)
2010 – 2019
- 2019
- [c35]Joanna Materzynska, Guillaume Berger, Ingo Bax, Roland Memisevic:
The Jester Dataset: A Large-Scale Video Dataset of Human Gestures. ICCV Workshops 2019: 2874-2882 - 2018
- [c34]Farzaneh Mahdisoltani, Roland Memisevic, David J. Fleet:
Hierarchical Video Understanding. ECCV Workshops (4) 2018: 659-663 - [c33]Raghav Goyal, Farzaneh Mahdisoltani, Guillaume Berger, Waseem Gharbieh, Ingo Bax, Roland Memisevic:
Evaluating visual "common sense" using fine-grained classification and captioning tasks. ICLR (Workshop) 2018 - [i18]Farzaneh Mahdisoltani, Guillaume Berger, Waseem Gharbieh, David J. Fleet, Roland Memisevic:
Fine-grained Video Classification and Captioning. CoRR abs/1804.09235 (2018) - [i17]Farzaneh Mahdisoltani, Roland Memisevic, David J. Fleet:
Hierarchical Video Understanding. CoRR abs/1809.03316 (2018) - 2017
- [c32]Daniel Jiwoong Im, Sungjin Ahn, Roland Memisevic, Yoshua Bengio:
Denoising Criterion for Variational Auto-Encoding Framework. AAAI 2017: 2059-2065 - [c31]Samira Ebrahimi Kahou, Vincent Michalski, Roland Memisevic, Christopher Joseph Pal, Pascal Vincent:
RATM: Recurrent Attentive Tracking Model. CVPR Workshops 2017: 1613-1622 - [c30]Raghav Goyal, Samira Ebrahimi Kahou, Vincent Michalski, Joanna Materzynska, Susanne Westphal, Heuna Kim, Valentin Haenel, Ingo Fründ, Peter Yianilos, Moritz Mueller-Freitag, Florian Hoppe, Christian Thurau, Ingo Bax, Roland Memisevic:
The "Something Something" Video Database for Learning and Evaluating Visual Common Sense. ICCV 2017: 5843-5851 - [c29]Guillaume Berger, Roland Memisevic:
Incorporating long-range consistency in CNN-based texture generation. ICLR (Poster) 2017 - [i16]Raghav Goyal, Samira Ebrahimi Kahou, Vincent Michalski, Joanna Materzynska, Susanne Westphal, Heuna Kim, Valentin Haenel, Ingo Fründ, Peter Yianilos, Moritz Mueller-Freitag, Florian Hoppe, Christian Thurau, Ingo Bax, Roland Memisevic:
The "something something" video database for learning and evaluating visual common sense. CoRR abs/1706.04261 (2017) - 2016
- [j7]Samira Ebrahimi Kahou, Xavier Bouthillier, Pascal Lamblin, Çaglar Gülçehre
, Vincent Michalski, Kishore Konda, Sébastien Jean, Pierre Froumenty, Yann N. Dauphin, Nicolas Boulanger-Lewandowski, Raul Chandias Ferrari, Mehdi Mirza, David Warde-Farley, Aaron C. Courville, Pascal Vincent, Roland Memisevic, Christopher Joseph Pal, Yoshua Bengio:
EmoNets: Multimodal deep learning approaches for emotion recognition in video. J. Multimodal User Interfaces 10(2): 99-111 (2016) - [c28]Daniel Jiwoong Im, Mohamed Ishmael Diwan Belghazi, Roland Memisevic:
Conservativeness of Untied Auto-Encoders. AAAI 2016: 1694-1700 - [c27]Harm de Vries, Roland Memisevic, Aaron C. Courville:
Deep Learning Vector Quantization. ESANN 2016 - [c26]Saizheng Zhang, Yuhuai Wu, Tong Che, Zhouhan Lin, Roland Memisevic, Ruslan Salakhutdinov, Yoshua Bengio:
Architectural Complexity Measures of Recurrent Neural Networks. NIPS 2016: 1822-1830 - [c25]David Krueger, Roland Memisevic:
Regularizing RNNs by Stabilizing Activations. ICLR 2016 - [c24]Zhouhan Lin, Matthieu Courbariaux, Roland Memisevic, Yoshua Bengio:
Neural Networks with Few Multiplications. ICLR 2016 - [i15]Daniel Jiwoong Im, Chris Dongjoo Kim, Hui Jiang, Roland Memisevic:
Generating images with recurrent adversarial networks. CoRR abs/1602.05110 (2016) - [i14]Saizheng Zhang, Yuhuai Wu, Tong Che, Zhouhan Lin, Roland Memisevic, Ruslan Salakhutdinov, Yoshua Bengio:
Architectural Complexity Measures of Recurrent Neural Networks. CoRR abs/1602.08210 (2016) - [i13]Rami Al-Rfou, Guillaume Alain, Amjad Almahairi, Christof Angermüller, Dzmitry Bahdanau, Nicolas Ballas, Frédéric Bastien, Justin Bayer, Anatoly Belikov, Alexander Belopolsky, Yoshua Bengio, Arnaud Bergeron, James Bergstra, Valentin Bisson, Josh Bleecher Snyder, Nicolas Bouchard, Nicolas Boulanger-Lewandowski, Xavier Bouthillier, Alexandre de Brébisson, Olivier Breuleux, Pierre Luc Carrier, Kyunghyun Cho, Jan Chorowski, Paul F. Christiano, Tim Cooijmans, Marc-Alexandre Côté, Myriam Côté, Aaron C. Courville, Yann N. Dauphin, Olivier Delalleau, Julien Demouth, Guillaume Desjardins, Sander Dieleman, Laurent Dinh, Melanie Ducoffe, Vincent Dumoulin, Samira Ebrahimi Kahou, Dumitru Erhan, Ziye Fan, Orhan Firat, Mathieu Germain, Xavier Glorot, Ian J. Goodfellow, Matthew Graham, Çaglar Gülçehre, Philippe Hamel, Iban Harlouchet, Jean-Philippe Heng, Balázs Hidasi, Sina Honari, Arjun Jain, Sébastien Jean, Kai Jia, Mikhail Korobov, Vivek Kulkarni, Alex Lamb, Pascal Lamblin, Eric Larsen, César Laurent, Sean Lee, Simon Lefrançois, Simon Lemieux, Nicholas Léonard, Zhouhan Lin, Jesse A. Livezey, Cory Lorenz, Jeremiah Lowin, Qianli Ma, Pierre-Antoine Manzagol, Olivier Mastropietro, Robert McGibbon, Roland Memisevic, Bart van Merriënboer, Vincent Michalski, Mehdi Mirza, Alberto Orlandi, Christopher Joseph Pal, Razvan Pascanu, Mohammad Pezeshki, Colin Raffel, Daniel Renshaw, Matthew Rocklin, Adriana Romero, Markus Roth, Peter Sadowski, John Salvatier, François Savard, Jan Schlüter, John Schulman, Gabriel Schwartz, Iulian Vlad Serban, Dmitriy Serdyuk, Samira Shabanian, Étienne Simon, Sigurd Spieckermann, S. Ramana Subramanyam, Jakub Sygnowski, Jérémie Tanguay, Gijs van Tulder, Joseph P. Turian, Sebastian Urban, Pascal Vincent, Francesco Visin, Harm de Vries, David Warde-Farley, Dustin J. Webb, Matthew Willson, Kelvin Xu, Lijun Xue, Li Yao, Saizheng Zhang, Ying Zhang:
Theano: A Python framework for fast computation of mathematical expressions. CoRR abs/1605.02688 (2016) - [i12]Guillaume Berger, Roland Memisevic:
Incorporating long-range consistency in CNN-based texture generation. CoRR abs/1606.01286 (2016) - 2015
- [j6]Hanna Kamyshanska, Roland Memisevic:
The Potential Energy of an Autoencoder. IEEE Trans. Pattern Anal. Mach. Intell. 37(6): 1261-1273 (2015) - [c23]Sébastien Jean, KyungHyun Cho, Roland Memisevic, Yoshua Bengio:
On Using Very Large Target Vocabulary for Neural Machine Translation. ACL (1) 2015: 1-10 - [c22]Kishore Konda, Pramod Chandrashekhariah, Roland Memisevic, Jochen Triesch:
Real-time activity recognition via deep learning of motion features. ESANN 2015 - [c21]Roland Memisevic:
Deep learning: Architectures, algorithms, applications. Hot Chips Symposium 2015: 1-127 - [c20]Samira Ebrahimi Kahou, Vincent Michalski, Kishore Reddy Konda, Roland Memisevic, Christopher Joseph Pal:
Recurrent Neural Networks for Emotion Recognition in Video. ICMI 2015: 467-474 - [c19]Kishore Reddy Konda, Roland Memisevic:
Learning Visual Odometry with a Convolutional Network. VISAPP (1) 2015: 486-490 - [c18]Sébastien Jean, Orhan Firat, Kyunghyun Cho, Roland Memisevic, Yoshua Bengio:
Montreal Neural Machine Translation Systems for WMT'15. WMT@EMNLP 2015: 134-140 - [c17]Roland Memisevic, Kishore Reddy Konda, David Krueger:
Zero-bias autoencoders and the benefits of co-adapting features. ICLR (Poster) 2015 - [i11]Samira Ebrahimi Kahou, Xavier Bouthillier, Pascal Lamblin, Çaglar Gülçehre, Vincent Michalski, Kishore Reddy Konda, Sébastien Jean, Pierre Froumenty, Yann N. Dauphin, Nicolas Boulanger-Lewandowski, Raul Chandias Ferrari, Mehdi Mirza, David Warde-Farley, Aaron C. Courville, Pascal Vincent, Roland Memisevic, Christopher J. Pal, Yoshua Bengio:
EmoNets: Multimodal deep learning approaches for emotion recognition in video. CoRR abs/1503.01800 (2015) - [i10]Daniel Jiwoong Im, Mohamed Ishmael Diwan Belghazi, Roland Memisevic:
Conservativeness of untied auto-encoders. CoRR abs/1506.07643 (2015) - [i9]Kishore Reddy Konda, Xavier Bouthillier, Roland Memisevic, Pascal Vincent:
Dropout as data augmentation. CoRR abs/1506.08700 (2015) - [i8]Samira Ebrahimi Kahou, Vincent Michalski, Roland Memisevic:
RATM: Recurrent Attentive Tracking Model. CoRR abs/1510.08660 (2015) - [i7]Zhouhan Lin, Roland Memisevic, Kishore Reddy Konda:
How far can we go without convolution: Improving fully-connected networks. CoRR abs/1511.02580 (2015) - [i6]Daniel Jiwoong Im, Sungjin Ahn, Roland Memisevic, Yoshua Bengio:
Denoising Criterion for Variational Auto-Encoding Framework. CoRR abs/1511.06406 (2015) - 2014
- [c16]Kishore Reddy Konda, Roland Memisevic:
A unified approach to learning depth and motion features. ICVGIP 2014: 78:1-78:7 - [c15]Vincent Michalski, Roland Memisevic, Kishore Reddy Konda:
Modeling Deep Temporal Dependencies with Recurrent "Grammar Cells". NIPS 2014: 1925-1933 - [c14]Kishore Reddy Konda, Roland Memisevic, Vincent Michalski:
The role of spatio-temporal synchrony in the encoding of motion. ICLR (Poster) 2014 - [i5]Vincent Michalski, Roland Memisevic, Kishore Reddy Konda:
Modeling sequential data using higher-order relational features and predictive training. CoRR abs/1402.2333 (2014) - [i4]Sébastien Jean, Kyunghyun Cho, Roland Memisevic, Yoshua Bengio:
On Using Very Large Target Vocabulary for Neural Machine Translation. CoRR abs/1412.2007 (2014) - 2013
- [j5]Roland Memisevic:
Learning to Relate Images. IEEE Trans. Pattern Anal. Mach. Intell. 35(8): 1829-1846 (2013) - [c13]Samira Ebrahimi Kahou, Christopher J. Pal, Xavier Bouthillier, Pierre Froumenty, Çaglar Gülçehre
Combining modality specific deep neural networks for emotion recognition in video. ICMI 2013: 543-550 - [c12]Roland Memisevic, Georgios Exarchakis:
Learning invariant features by harnessing the aperture problem. ICML (3) 2013: 100-108 - [c11]Hanna Kamyshanska, Roland Memisevic:
On autoencoder scoring. ICML (3) 2013: 720-728 - [c10]Felix Bauer, Roland Memisevic:
Feature grouping from spatially constrained multiplicative interaction. ICLR 2013 - [i3]Kishore Reddy Konda, Roland Memisevic:
Unsupervised learning of depth and motion. CoRR abs/1312.3429 (2013) - 2012
- [j4]Roland Memisevic, Leonid Sigal, David J. Fleet
Shared Kernel Information Embedding for Discriminative Inference. IEEE Trans. Pattern Anal. Mach. Intell. 34(4): 778-790 (2012) - [c9]Roland Memisevic:
On multi-view feature learning. ICML 2012 - [i2]Roland Memisevic:
On multi-view feature learning. CoRR abs/1206.4609 (2012) - 2011
- [c8]Joshua M. Susskind, Geoffrey E. Hinton, Roland Memisevic, Marc Pollefeys
Modeling the joint density of two images under a variety of transformations. CVPR 2011: 2793-2800 - [c7]Roland Memisevic:
Gradient-based learning of higher-order image features. ICCV 2011: 1591-1598 - [i1]Roland Memisevic:
Learning to relate images: Mapping units, complex cells and simultaneous eigenspaces. CoRR abs/1110.0107 (2011) - 2010
- [j3]Roland Memisevic, Geoffrey E. Hinton:
Learning to Represent Spatial Transformations with Factored Higher-Order Boltzmann Machines. Neural Comput. 22(6): 1473-1492 (2010) - [c6]Roland Memisevic, Christopher Zach, Geoffrey E. Hinton, Marc Pollefeys:
Gated Softmax Classification. NIPS 2010: 1603-1611
2000 – 2009
- 2009
- [c5]Leonid Sigal, Roland Memisevic, David J. Fleet
Shared Kernel Information Embedding for discriminative inference. CVPR 2009: 2852-2859 - 2008
- [b1]Roland Memisevic:
Non-linear Latent Factor Models for Revealing Structure in High-dimensional Data. University of Toronto, Canada, 2008 - 2007
- [c4]Horst Samulowitz, Roland Memisevic:
Learning to Solve QBF. AAAI 2007: 255-260 - [c3]Roland Memisevic, Geoffrey E. Hinton:
Unsupervised Learning of Image Transformations. CVPR 2007 - 2006
- [c2]Roland Memisevic:
Kernel information embeddings. ICML 2006: 633-640 - 2005
- [j2]Roland Memisevic, Geoffrey E. Hinton:
Improving dimensionality reduction with spectral gradient descent. Neural Networks 18(5-6): 702-710 (2005) - [j1]Peter Meinicke, Stefan Klanke, Roland Memisevic, Helge J. Ritter:
Principal Surfaces from Unsupervised Kernel Regression. IEEE Trans. Pattern Anal. Mach. Intell. 27(9): 1379-1391 (2005) - 2004
- [c1]Roland Memisevic, Geoffrey E. Hinton:
Multiple Relational Embedding. NIPS 2004: 913-920
Coauthor Index
Kishore Reddy Konda
aka: Kishore Konda
aka: Kishore Konda
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last updated on 2024-11-08 20:28 CET by the dblp team
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