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Based on the notion of information bottleneck (IB), we formulate a quantization problem called "IB quantization".
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Tishby, N., Pereira, F. C., and Bialek, W · 1999
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Orlitsky, A. and Roche, J · 2001
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An information theoretic tradeoff between complexity and accuracy
Navot, R. G.-B. A. and Tishby, N · 2003
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A sentimental education: Sentiment analysis using subjectivity summarization based on minimum cuts
Pang, B. and Lee, L · 2004
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Seeing stars: Exploiting class relationships for sentiment categorization with respect to rating scales
Pang, B. and Lee, L · 2005
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Elements of Information Theory (Wiley Series in Telecommunications and Signal Processing)
Cover, T. M. and Thomas, J. A · 2006
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Least squares quantization in pcm
Lloyd, S · 2006
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Learning and generalization with the information bottleneck
Shamir, O., Sabato, S., and Tishby, N · 2010
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Network Information Theory
El Gamal, A. and Kim, Y.-H · 2011
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Imagenet large scale visual recognition challenge
Russakovsky, O., Deng, J., Su, H., Krause, J., Satheesh, S., Ma, S., Huang, Z., Karpathy, A., Khosla, A., Bernstein, M. S., Berg, A. C., and Li, F · 2014
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Deep learning
LeCun, Y., Bengio, Y., and Hinton, G. E · 2015
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Identity mappings in deep residual networks
He, K., Zhang, X., Ren, S., and Sun, J · 2016
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Liu, K · 2017
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Opening the black box of deep neural networks via information
Shwartz-Ziv, R. and Tishby, N · 2017
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Mutual information neural estimation
Belghazi, M. I., Baratin, A., Rajeshwar, S., Ozair, S., Bengio, Y., Hjelm, R. D., and Courville, A. C · 2018
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Compressing neural networks using the variational information bottleneck
Dai, B., Zhu, C., Guo, B., and Wipf, D. P · 2018
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Tensorflow: A system for large-scale machine learning
Abadi, M., Barham, P., Chen, J., Chen, Z., Davis, A., Dean, J., Devin, M., Ghemawat, S., Irving, G., Isard, M., Kudlur, M., Levenberg, J., Monga, R., Moore, S., Murray, D. G., Steiner, B., Tucker, P., Vasudevan, V., Warden, P., Wicke, M., Yu, Y., and Zheng, X · 2016
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Deep variational information bottleneck
Alemi, A. A., Fischer, I., Dillon, J. V., and Murphy, K · 2016
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Convolutional neural networks for sentence classification
Kim, Y
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https://github.com/yoonkim/cnn_sentence, 2014b
Kim, Y
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Zagoruyko, S. and Komodakis, N
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https://github.com/szagoruyko/ wide-residual-networks, 2016b
Zagoruyko, S. and Komodakis, N
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On the information bottleneck theory of deep learning
Saxe, A. M., Bansal, Y., Dapello, J., Advani, M., Kolchinsky, A., Tracey, B. D., and Cox, D. D · 2018
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Manifold mixup: Encouraging meaningful on-manifold interpolation as a regularizer
Verma, V., Lamb, A., Beckham, C., Courville, A. C., Mitliagkas, I., and Bengio, Y · 2018
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