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Saizheng Zhang
Saizheng Zhang
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Titel
Zitiert von
Zitiert von
Jahr
HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering
Z Yang, P Qi, S Zhang, Y Bengio, WW Cohen, R Salakhutdinov, ...
EMNLP 2018, 2018
25882018
Personalizing Dialogue Agents: I have a dog, do you have pets too?
S Zhang, E Dinan, J Urbanek, A Szlam, D Kiela, J Weston
ACL 2018, 2018
17272018
Theano: A Python framework for fast computation of mathematical expressions
R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, N Ballas, ...
arXiv, 2016
1177*2016
Professor Forcing: A New Algorithm for Training Recurrent Networks
AM Lamb, AGAP GOYAL, Y Zhang, S Zhang, AC Courville, Y Bengio
NIPS 2016, 2016
7892016
Towards end-to-end speech recognition with deep convolutional neural networks
Y Zhang, M Pezeshki, P Brakel, S Zhang, C Laurent, Y Bengio, ...
INTERSPEECH 2016, 2016
5002016
Difference target propagation
DH Lee, S Zhang, A Fischer, Y Bengio
ECMLPKDD 2015, 2015
4332015
A Deep Reinforcement Learning Chatbot
IV Serban, C Sankar, M Germain, S Zhang, Z Lin, S Subramanian, T Kim, ...
NIPS 2017 Workshop, 2017
3962017
Machine Comprehension by Text-to-Text Neural Question Generation
X Yuan, T Wang, C Gulcehre, A Sordoni, P Bachman, S Subramanian, ...
ACL 2017 Workshop on Representation Learning for NLP, 2017
2292017
Architectural Complexity Measures of Recurrent Neural Networks
S Zhang, Y Wu, T Che, Z Lin, R Memisevic, RR Salakhutdinov, Y Bengio
NIPS 2016, 2016
2012016
STDP-Compatible Approximation of Backpropagation in an Energy-Based Model
Y Bengio, T Mesnard, A Fischer, S Zhang, Y Wu
Neural Computation, 2017, 2017
196*2017
On multiplicative integration with recurrent neural networks
S Zhang, Y Wu, Y Zhang, Y Bengio, RR Salakhutdinov
NIPS 2016, 2016
187*2016
Neural Models for Key Phrase Detection and Question Generation
S Subramanian, T Wang, X Yuan, S Zhang, A Trischler, Y Bengio
ACL 2018 Workshop on MRQA, 2017
1422017
GSNs: generative stochastic networks
G Alain, Y Bengio, L Yao, J Yosinski, É Thibodeau-Laufer, S Zhang, ...
Information and Inference: A Journal of the IMA, 2016, 2016
782016
Mastering the Dungeon: Grounded Language Learning by Mechanical Turker Descent
Z Yang, S Zhang, J Urbanek, W Feng, AH Miller, A Szlam, D Kiela, ...
ICLR 2018, 2018
322018
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