Travelled to:1 × China
1 × France
2 × United Kingdom
4 × USA
Collaborated with:K.Q.Weinberger Y.Chen F.Sha Z.E.Xu A.X.Zheng Y.Bengio L.v.d.Maaten S.Tyree M.J.Kusner J.Sun X.Ni M.R.Brent A.E.Tenney
Talks about:margin (4) represent (2) featur (2) denois (2) train (2) learn (2) encod (2) adapt (2) decomposit (1) nonlinear (1)
Person: Minmin Chen
DBLP: Chen:Minmin
Contributed to:
201420132013
2012201220112011
2009Wrote 9 papers:
- ICML-c2-2014-ChenWSB
- Marginalized Denoising Auto-encoders for Nonlinear Representations (MC, KQW, FS, YB), pp. 1476–1484.
- ICML-c1-2013-MaatenCTW #learning
- Learning with Marginalized Corrupted Features (LvdM, MC, ST, KQW), pp. 410–418.
- ICML-c1-2013-XuKWC #classification
- Cost-Sensitive Tree of Classifiers (ZEX, MJK, KQW, MC), pp. 133–141.
- ICML-c3-2013-ChenZW #image #performance
- Fast Image Tagging (MC, AXZ, KQW), pp. 1274–1282.
- CIKM-2012-XuCWS #representation
- From sBoW to dCoT marginalized encoders for text representation (ZEX, MC, KQW, FS), pp. 1879–1884.
- ICML-2012-ChenXWS #adaptation
- Marginalized Denoising Autoencoders for Domain Adaptation (MC, ZEX, KQW, FS), p. 212.
- CIKM-2011-ChenSNC #adaptation #classification #query #self
- Improving context-aware query classification via adaptive self-training (MC, JTS, XN, YC), pp. 115–124.
- ICML-2011-ChenWC #automation #composition
- Automatic Feature Decomposition for Single View Co-training (MC, KQW, YC), pp. 953–960.
- KDD-2009-ChenCBT #learning #optimisation #random
- Constrained optimization for validation-guided conditional random field learning (MC, YC, MRB, AET), pp. 189–198.