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Publication search results
found 74 matches
- 2015
- Forest Agostinelli
, Matthew D. Hoffman, Peter J. Sadowski, Pierre Baldi:
Learning Activation Functions to Improve Deep Neural Networks. ICLR (Workshop) 2015 - Maruan Al-Shedivat, Emre Neftci, Gert Cauwenberghs:
Learning Non-deterministic Representations with Energy-based Ensembles. ICLR (Workshop) 2015 - Kartik Audhkhasi, Abhinav Sethy, Bhuvana Ramabhadran:
Diverse Embedding Neural Network Language Models. ICLR (Workshop) 2015 - Kevin Bache, Dennis DeCoste, Padhraic Smyth:
Hot Swapping for Online Adaptation of Optimization Hyperparameters. ICLR (Workshop) 2015 - Gang Chen, Sargur N. Srihari:
Restricted Boltzmann Machine for Classification with Hierarchical Correlated Prior. ICLR (Workshop) 2015 - Liang-Chieh Chen, Alexander G. Schwing, Alan L. Yuille, Raquel Urtasun:
Learning Deep Structured Models. ICLR (Workshop) 2015 - Brian Cheung, Jesse A. Livezey, Arjun K. Bansal, Bruno A. Olshausen:
Discovering Hidden Factors of Variation in Deep Networks. ICLR (Workshop) 2015 - Gabriella Contardo, Ludovic Denoyer, Thierry Artières:
Representation Learning for cold-start recommendation. ICLR (Workshop) 2015 - Matthieu Courbariaux, Yoshua Bengio, Jean-Pierre David:
Low precision arithmetic for deep learning. ICLR (Workshop) 2015 - Weiguang Ding, Ruoyan Wang, Fei Mao, Graham W. Taylor:
Theano-based Large-Scale Visual Recognition with Multiple GPUs. ICLR (Workshop) 2015 - Laurent Dinh, David Krueger, Yoshua Bengio:
NICE: Non-linear Independent Components Estimation. ICLR (Workshop) 2015 - Georgiana Dinu, Marco Baroni:
Improving zero-shot learning by mitigating the hubness problem. ICLR (Workshop) 2015 - Otto Fabius, Joost R. van Amersfoort, Diederik P. Kingma:
Variational Recurrent Auto-Encoders. ICLR (Workshop) 2015 - Chelsea Finn, Lisa Anne Hendricks, Trevor Darrell:
Learning Compact Convolutional Neural Networks with Nested Dropout. ICLR (Workshop) 2015 - Daniel Fried, Kevin Duh:
Incorporating Both Distributional and Relational Semantics in Word Representations. ICLR (Workshop) 2015 - Raja Giryes, Guillermo Sapiro, Alexander M. Bronstein:
On the Stability of Deep Networks. ICLR (Workshop) 2015 - Marc Goessling, Yali Amit:
Compact Part-Based Image Representations: Extremal Competition and Overgeneralization. ICLR (Workshop) 2015 - Ian J. Goodfellow:
On distinguishability criteria for estimating generative models. ICLR (Workshop) 2015 - Ross Goroshin, Joan Bruna, Jonathan Tompson, David Eigen, Yann LeCun:
Unsupervised Feature Learning from Temporal Data. ICLR (Workshop) 2015 - Shixiang Gu, Luca Rigazio:
Towards Deep Neural Network Architectures Robust to Adversarial Examples. ICLR (Workshop) 2015 - Pitoyo Hartono, Paul Hollensen, Thomas Trappenberg:
Classifier with Hierarchical Topographical Maps as Internal Representation. ICLR (Workshop) 2015 - Felix Hill, Kyunghyun Cho, Sébastien Jean, Coline Devin, Yoshua Bengio:
Embedding Word Similarity with Neural Machine Translation. ICLR (Workshop) 2015 - Elad Hoffer, Nir Ailon:
Deep metric learning using Triplet network. ICLR (Workshop) 2015 - Jyh-Jing Hwang, Tyng-Luh Liu:
Pixel-wise Deep Learning for Contour Detection. ICLR (Workshop) 2015 - Daniel Jiwoong Im, Ethan Buchman, Graham W. Taylor:
Understanding Minimum Probability Flow for RBMs Under Various Kinds of Dynamics. ICLR (Workshop) 2015 - Majid Janzamin, Hanie Sedghi, Anima Anandkumar:
Score Function Features for Discriminative Learning. ICLR (Workshop) 2015 - Yangfeng Ji, Jacob Eisenstein:
Entity-Augmented Distributional Semantics for Discourse Relations. ICLR (Workshop) 2015 - Jonghoon Jin, Aysegul Dundar, Eugenio Culurciello:
Flattened Convolutional Neural Networks for Feedforward Acceleration. ICLR (Workshop) 2015 - Alexander Kalmanovich, Gal Chechik:
Gradual Training Method for Denoising Auto Encoders. ICLR (Workshop) 2015 - Martin Kiefel, Varun Jampani, Peter V. Gehler:
Permutohedral Lattice CNNs. ICLR (Workshop) 2015
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