Progressive Neural Networks for Transfer Learning in Emotion Recognition

S. E. Fahlman and C. Lebiere, “The cascade-correlation learning architecture,” 1990

1990

Earlier work this paper cites.

D. Ververidis and C. Kotropoulos, “Automatic speech classification to five emotional states based on gender information,” in

2004

Earlier work this paper cites.

R. R. Bouckaert and E. Frank, “Evaluating the replicability of significance tests for comparing learning algorithms,” in

Original

2004

Earlier work this paper cites.

C. M. Lee and S. S. Narayanan, “Toward detecting emotions in spoken dialogs,”

2005

Earlier work this paper cites.

T. Vogt and E. André, “Improving automatic emotion recognition from speech via gender differentiation,” in

2006

Earlier work this paper cites.

C. Busso, M. Bulut, C.-C. Lee, A. Kazemzadeh, E. Mower, S. Kim, J. N. Chang, S. Lee, and S. S. Narayanan, “Iemocap: Interactive emotional dyadic motion capture database,”

2008

Earlier work this paper cites.

B. W. Schuller, S. Steidl, A. Batliner

2009

Earlier work this paper cites.

B. Schuller, S. Steidl, A. Batliner, F. Burkhardt, L. Devillers, C. MüLler, and S. Narayanan, “Paralinguistics in speech and language—state-of-the-art and the challenge,”

2013

Cited alongside, same era.

J. Deng, Z. Zhang, E. Marchi, and B. Schuller, “Sparse autoencoder-based feature transfer learning for speech emotion recognition,” in

2013

Cited alongside, same era.

M. Sidorov, S. Ultes, and A. Schmitt, “Comparison of gender-and speaker-adaptive emotion recognition.” in

2014

Cited alongside, same era.

R. Xia and Y. Liu, “A multi-task learning framework for emotion recognition using 2d continuous space,”

2015

Cited alongside, same era.

A. Das and M. Hasegawa-Johnson, “Cross-lingual transfer learning during supervised training in low resource scenarios.” in

2015

Cited alongside, same era.

A. A. Rusu, N. C. Rabinowitz, G. Desjardins, H. Soyer, J. Kirkpatrick, K. Kavukcuoglu, R. Pascanu, and R. Hadsell, “Progressive neural networks,”

Original

2016

Later among the works it cites.

A. A. Rusu, M. Vecerik, T. Rothörl, N. Heess, R. Pascanu, and R. Hadsell, “Sim-to-real robot learning from pixels with progressive nets,”

Original

2016

Later among the works it cites.

C. Busso, S. Parthasarathy, A. Burmania, M. Abdel-Wahab, N. Sadoughi, and E. M. Provost, “Msp-improv: An acted corpus of dyadic interactions to study emotion perception,”

2016

Later among the works it cites.

Y. Kim and E. M. Provost, “Emotion spotting: Discovering regions of evidence in audio-visual emotion expressions,” in

2016

Later among the works it cites.

R. Lotfian and C. Busso, “Retrieving categorical emotions using a probabilistic framework to define preference learning samples,” in