메뉴 건너뛰기




Volumn , Issue , 2017, Pages

Β-VAE: Learning basic visual concepts with a constrained variational framework

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATED DISCOVERY; HYPER-PARAMETER; RECONSTRUCTION ACCURACY; SEMI-SUPERVISED; STATE OF THE ART; UNSUPERVISED DATA; VARIATIONAL FRAMEWORK; VISUAL INSPECTION;

EID: 85087331890     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (3891)

References (36)
  • 1
    • 84911409986 scopus 로고    scopus 로고
    • Seeing 3d chairs: Exemplar part-based 2d-3d alignment using a large dataset of cad models
    • M. Aubry, D. Maturana, A. Efros, B. Russell, and J. Sivic. Seeing 3d chairs: exemplar part-based 2d-3d alignment using a large dataset of cad models. In CVPR, 2014.
    • (2014) CVPR
    • Aubry, M.1    Maturana, D.2    Efros, A.3    Russell, B.4    Sivic, J.5
  • 5
    • 85083950051 scopus 로고    scopus 로고
    • Transformation properties of learned visual representations
    • T. Cohen and M. Welling. Transformation properties of learned visual representations. In ICLR, 2015.
    • (2015) ICLR
    • Cohen, T.1    Welling, M.2
  • 9
    • 80052250414 scopus 로고    scopus 로고
    • Adaptive subgradient methods for online learning and stochastic optimization
    • John Duchi, Elad Hazan, and Yoram Singer. Adaptive subgradient methods for online learning and stochastic optimization. Journal of Machine Learning Research, 2011.
    • (2011) Journal of Machine Learning Research
    • Duchi, J.1    Hazan, E.2    Singer, Y.3
  • 11
    • 84965139813 scopus 로고    scopus 로고
    • Learning to linearize under uncertainty
    • Ross Goroshin, Michael Mathieu, and Yann LeCun. Learning to linearize under uncertainty. NIPS, 2015.
    • (2015) NIPS
    • Goroshin, R.1    Mathieu, M.2    LeCun, Y.3
  • 13
    • 0033225865 scopus 로고    scopus 로고
    • An introduction to variational methods for graphical models
    • Michael I Jordan, Zoubin Ghahramani, Tommi S Jaakkola, and Lawrence K Saul. An introduction to variational methods for graphical models. Machine learning, 37(2):183-233, 1999.
    • (1999) Machine Learning , vol.37 , Issue.2 , pp. 183-233
    • Jordan, M.I.1    Ghahramani, Z.2    Jaakkola, T.S.3    Saul, L.K.4
  • 14
    • 85083954103 scopus 로고    scopus 로고
    • Bayesian representation learning with oracle constraints
    • Theofanis Karaletsos, Serge Belongie, and Gunnar Rätsch. Bayesian representation learning with oracle constraints. ICLR, 2016.
    • (2016) ICLR
    • Karaletsos, T.1    Belongie, S.2    Rätsch, G.3
  • 17
    • 85083952489 scopus 로고    scopus 로고
    • Auto-encoding variational bayes
    • D. P. Kingma and M. Welling. Auto-encoding variational bayes. ICLR, 2014.
    • (2014) ICLR
    • Kingma, D.P.1    Welling, M.2
  • 21
    • 84973917446 scopus 로고    scopus 로고
    • Deep learning face attributes in the wild
    • Z. Liu, P. Luo, X. Wang, and X. Tang. Deep learning face attributes in the wild. ICCV, 2015.
    • (2015) ICCV
    • Liu, Z.1    Luo, P.2    Wang, X.3    Tang, X.4
  • 22
    • 72349091918 scopus 로고    scopus 로고
    • A 3d face model for pose and illumination invariant face recognition
    • P. Paysan, R. Knothe, B. Amberg, S. Romdhani, and T. Vetter. A 3d face model for pose and illumination invariant face recognition. AVSS, 2009.
    • (2009) AVSS
    • Paysan, P.1    Knothe, R.2    Amberg, B.3    Romdhani, S.4    Vetter, T.5
  • 25
    • 84919832734 scopus 로고    scopus 로고
    • Learning to disentangle factors of variation with manifold interaction
    • Scott Reed, Kihyuk Sohn, Yuting Zhang, and Honglak Lee. Learning to disentangle factors of variation with manifold interaction. ICML, 2014.
    • (2014) ICML
    • Reed, S.1    Sohn, K.2    Zhang, Y.3    Lee, H.4
  • 30
    • 0040422903 scopus 로고
    • Learning factorial codes by predictability minimization
    • Jürgen Schmidhuber. Learning factorial codes by predictability minimization. Neural Computation, 4(6):863-869, 1992.
    • (1992) Neural Computation , vol.4 , Issue.6 , pp. 863-869
    • Schmidhuber, J.1
  • 34
    • 84965161391 scopus 로고    scopus 로고
    • Weakly-supervised disentangling with recurrent transformations for 3d view synthesis
    • Jimei Yang, Scott Reed, Ming-Hsuan Yang, and Honglak Lee. Weakly-supervised disentangling with recurrent transformations for 3d view synthesis. NIPS, 2015.
    • (2015) NIPS
    • Yang, J.1    Reed, S.2    Yang, M.-H.3    Lee, H.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.