Konda, Kishore

1. EmoNets: Multimodal deep learning approaches for emotion recognition in\n video
   2015/03/05 by Samira Ebrahimi Kahou, Xavier Bouthillier, Kahou, Samira Ebrahimi +34 · 3 citations
   Psychology · Computer Science · #Emotion and Mood Recognition #Face recognition and analysis #Human Pose and Action Recognition
2. How far can we go without convolution: Improving fully-connected networks
   2015/11/09 by Zhouhan Lin, Roland Memisevic, Lin, Zhouhan +3 · 2 citations
   Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Human Pose and Action Recognition #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE)
3. Zero-bias autoencoders and the benefits of co-adapting features
   2014/02/13 by Konda, Kishore, Memisevic, Roland, Krueger, David · 1 citation
   #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE)
4. Dropout as data augmentation
   2015/06/29 by Bouthillier, Xavier, Konda, Kishore, Vincent, Pascal +1 · 1 citation
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
5. Building effective deep neural network architectures one feature at a time
   2017/05/18 by Martin Mundt, Mundt, Martin, Tobias Weis +5 · 1 voice
   Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Domain Adaptation and Few-Shot Learning #cs.CV #cs.NE