57
Bibliograph y Abadi, M., Agarw al, A., Barham, P ., Brevdo, E., Chen, Z., Citro, C., Corrado, G. S., Da vis, A., Dean, J., Devin, M., Ghema w at, S., Go o dfello w, I., Harp, A., Irving, G., Isard, M., Jia, Y., Jozefowicz, R., Kaiser, L., Kudlur, M., Leven berg, J., Mané, D., Monga, R., Mo ore, S., Murra y , D., Olah, C., Sch uster, M., Shlens, J., Steiner, B., Sutskev er, I., T alw ar, K., T uc k er, P ., V anhouc k e, V., V asudev an, V., Viégas, F., Viny als, O., W arden, P ., W atten b erg, M., Wic k e, M., Y u, Y., and Zheng, X. (2015). T ensorFlow: Large-scale mac hine learning on heterogeneous systems. Soft w are av ailable from tensoro w.org. , 25 212 449 , A c kley , D. H., Hinton, G. E., and Sejnowski, T. J. (1985). A learning algorithm for Boltzmann mac hines. Co gnitive Scienc e , , 147–169. , 9 573 656 Alain, G. and Bengio, Y. (2013). What regularized auto-enco ders learn from the data generating distribution. In . , , ICLR’2013, arXiv:1211.4246 510 516 524 Alain, G., Bengio, Y., Y ao, L., Éric Thib o deau-Laufer, Y osinski, J., and Vincen t, P . (2015). GSNs: Generative stochastic netw orks. arXiv:1503.05571. , 513 715 Anderson, E. (1935). The Irises of the Gaspé Peninsula. Bul letin of the Americ an Iris So ciety , , 2–5. 59 21 Ba, J., Mnih, V., and Kavuk cuoglu, K. (2014). Multiple ob ject recognition with visual atten tion. . arXiv:1412.7755 693 Bac hman, P . and Precup, D. (2015). V ariational generative sto chastic netw orks with collab orativ e shaping. In Pr o c e e dings of the 32nd International Confer enc e on Machine L e arning, ICML 2015, Lil le, F r anc e, 6-11 July 2015 , pages 1964–1972. 718 Bacon, P .-L., Bengio, E., Pineau, J., and Precup, D. (2015). Conditional computation in neural net w orks using a decision-theoretic approac h. In 2nd Multidisciplinary Confer enc e on R einfor c ement L e arning and De cision Making (RLDM 2015) . 453 Bagnell, J. A. and Bradley , D. M. (2009). Dieren tiable sparse co ding. In D. Koller, D. Sch uurmans, Y. Bengio, and L. Bottou, editors, A dvanc es in Neur al Information Pr o c essing Systems 21 (NIPS’08) , pages 113–120. 501 723

Bibliograph - bjpcjp.github.io

  • Upload
    others

  • View
    1

  • Download
    0

Embed Size (px)

Citation preview

Bengio, S. and
Bengio, Y. (2000a).
Bordes, A., W
eston, J., Collob
ert, R., and
R., and Niculescu-Mizil, A. (2006).R., and Niculescu-Mizil, A. (2006).R., and Niculescu-Mizil, A. (2006).
R., and Niculescu-Mizil, A. (2006).
MoMoMo
Mo
ert, R. and Wert, R. and Wert, R. and W
ert, R. and W
A unied arcA unied arcA unied arc
A unied arc
hitecture forhitecture forhitecture for
Desjardins, G., Courville, A.
C., Bengio, Y., Vincent, PC., Bengio, Y., Vincent, PC., Bengio, Y., Vincent, P
C., Bengio, Y., Vincent, P
., and., and., and
Dreyfus, S. E.
thistle, and Boltzmann
dings of the
., Gori, M., and
and Wierstra, D. (2014).and Wierstra, D. (2014).and Wierstra, D. (2014).
and Wierstra, D. (2014).
Hadsell, R., Sermanet, PHadsell, R., Sermanet, PHadsell, R., Sermanet, P
Hadsell, R., Sermanet, P
., Ben, J.,
A., Han, J., Muller,A., Han, J., Muller,A., Han, J., Muller,
A., Han, J., Muller,
U., andU., andU., and
606606606
606
InaInaIna
Ina
yyy
y
oshi, H. and Kurita, T. (2005).oshi, H. and Kurita, T. (2005).oshi, H. and Kurita, T. (2005).
oshi, H. and Kurita, T. (2005).
ImprovImprovImprov
Improv
adding both auto-
Citeseer.Citeseer.Citeseer.
Citeseer.
496496496
496
LaroLaroLaro
Laro
ccc
c
helle, H. and Bengio, Y.helle, H. and Bengio, Y.helle, H. and Bengio, Y.
helle, H. and Bengio, Y.
(2008).(2008).(2008).
(2008).
Classication using
LeCun, Y., Ka
cuoglu, K., and
Linnainmaa, S. (1976).
(2010). Articial
eh, Y. W.
Lippmann, editors,
digits in natural
ervised feature learning.
Deep Learning and
Rifai, S., Vincen
X., Glorot, X.,
Rumelhart, D., Hin
ton, G., and
v, R. and
ton, G. E.
Learning a nonlinear
her, R., P
ennington, J., Huang, E.ennington, J., Huang, E.ennington, J., Huang, E.
ennington, J., Huang, E.
H., Ng, A.
CurranCurranCurran
Curran
AssoAssoAsso
Asso
ciates,ciates,ciates,
ciates,
Inc.Inc.Inc.
Inc.
468468468
468
VinVinVin
Vin
yyy
y
als, O., Kaiser, L., Koo, T., Petroals, O., Kaiser, L., Koo, T., Petroals, O., Kaiser, L., Koo, T., Petro
als, O., Kaiser, L., Koo, T., Petro
v, S., Sutskv, S., Sutskv, S., Sutsk
v, S., Sutsk
er, I., and
eiss, Y., T
orralba, A., and
818181
81
403403403
403
WWW
W
eston, J., Chopra, S., andeston, J., Chopra, S., andeston, J., Chopra, S., and
eston, J., Chopra, S., and
Bordes, A.Bordes, A.Bordes, A.
and Deng, L. (2010).and Deng, L. (2010).and Deng, L. (2010).
and Deng, L. (2010).
tial labeling using deep-structured