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Publication search results
found 21 matches
- 2023
- Josiah Rohrer, Simon Weber:
Reducing Nearest Neighbor Training Sets Optimally and Exactly. CoRR abs/2302.02132 (2023) - 2022
- Zirui Liu, Kaixiong Zhou, Fan Yang, Li Li, Rui Chen, Xia Hu:
EXACT: Scalable Graph Neural Networks Training via Extreme Activation Compression. ICLR 2022 - Gianluigi Silvestri, Daan Roos, Luca Ambrogioni:
Closing the gap: Exact maximum likelihood training of generative autoencoders using invertible layers. CoRR abs/2205.09546 (2022) - Florian Bacho, Dominique F. Chu:
Exact Error Backpropagation Through Spikes for Precise Training of Spiking Neural Networks. CoRR abs/2212.09500 (2022) - 2020
- Nuria Ferres-Forga, Justin Halberda:
Approximate Number System Discrimination Training for 7-8 Year Olds Improves Approximate, but not Exact, Arithmetics, and Only in Children With Low Pre-Training Arithmetic Scores. J. Numer. Cogn. 6(3): 275-303 (2020) - Tolga Ergen, Mert Pilanci:
Training Convolutional ReLU Neural Networks in Polynomial Time: Exact Convex Optimization Formulations. CoRR abs/2006.14798 (2020) - 2019
- Ping Li, Phan-Minh Nguyen:
On Random Deep Weight-Tied Autoencoders: Exact Asymptotic Analysis, Phase Transitions, and Implications to Training. ICLR 2019 - 2018
- Mathieu Guillame-Bert, Olivier Teytaud:
Exact Distributed Training: Random Forest with Billions of Examples. CoRR abs/1804.06755 (2018) - 2017
- Tianze Shi, Liang Huang, Lillian Lee:
Fast(er) Exact Decoding and Global Training for Transition-Based Dependency Parsing via a Minimal Feature Set. EMNLP 2017: 12-23 - Tianze Shi, Liang Huang, Lillian Lee:
Fast(er) Exact Decoding and Global Training for Transition-Based Dependency Parsing via a Minimal Feature Set. CoRR abs/1708.09403 (2017) - 2016
- Penghang Yin, Shuai Zhang, Jack Xin, Yingyong Qi:
Training Ternary Neural Networks with Exact Proximal Operator. CoRR abs/1612.06052 (2016) - 2015
- Pascal Vincent, Alexandre de Brébisson, Xavier Bouthillier:
Efficient Exact Gradient Update for training Deep Networks with Very Large Sparse Targets. NIPS 2015: 1108-1116 - Pascal Vincent:
Efficient Exact Gradient Update for training Deep Networks with Very Large Sparse Targets. ICLR (Workshop) 2015 - 2014
- Francisco Javier Martínez López, José Antonio Torres Arriaza, Sergio Martínez Puertas, María Mercedes Peralta López:
Multilevel RBF to resolve classification problems with large training sets: new pseudo-exact procedure. Soft Comput. 18(11): 2245-2252 (2014) - Masashi Kitamura, Akiko Takeda, Satoru Iwata:
Exact SVM training by Wolfe's minimum norm point algorithm. MLSP 2014: 1-6 - 2008
- Maaike Harbers, Karel van den Bosch, Frank Dignum, John-Jules Ch. Meyer:
A Cognitive Model for the Generation and Explanation of Behaviour in Virtual Training Systems. ExaCt 2008: 96-107 - Shigeo Abe:
Batch Support Vector Training Based on Exact Incremental Training. ICANN (1) 2008: 295-304 - Thomas Finley, Thorsten Joachims:
Training structural SVMs when exact inference is intractable. ICML 2008: 304-311 - 2004
- Ahmad Emami, Frederick Jelinek:
Exact training of a neural syntactic language model. ICASSP (1) 2004: 245-248 - 1998
- H. C. Rae, Peter Sollich, Anthony C. C. Coolen:
On-Line Learning with Restricted Training Sets: Exact Solution as Benchmark for General Theories. NIPS 1998: 316-322 - 1993
- Lars Kai Hansen:
Stochastic linear learning: Exact test and training error averages. Neural Networks 6(3): 393-396 (1993)
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