Browsing by Author "De, Abir"

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  • Samanta, Bidisha; De, Abir; Jana, Gourhari; Gómez, Vicenç; Chattaraj, Pratim Kumar; Ganguly, Niloy; Gomez-Rodriguez, Manuel (Journal of Machine Learning Research, 2020)
    Deep generative models have been praised for their ability to learn smooth latent representations of images, text, and audio, which can then be used to generate new, plausible data. Motivated by these success stories, there ...
  • Tabibian, Behzad; Gómez, Vicenç; De, Abir; Schölkopf, Bernhard; Gomez-Rodriguez, Manuel (Proceedings of Machine Learning Research, 2020)
    Ranking models are typically designed to optimize some measure of immediate utility to the users. As a result, they have been unable to anticipate an increasing number of undesirable long-term consequences of their proposed ...