673 citations · 1k across the 10 of their papers we have counts for
5 papers · 1 filter
Planning in Dynamic Environments with Conditional Autoregressive Models
Johanna Hansen, Kyle Kastner, Aaron Courville +1
We demonstrate the use of conditional autoregressive generative models (van den Oord et al., 2016a) over a discrete latent space (van den Oord et al., 2017b) for forward planning w…
Representation Mixing for TTS Synthesis
Kyle Kastner, João Felipe Santos, Yoshua Bengio +1
Recent character and phoneme-based parametric TTS systems using deep learning have shown strong performance in natural speech generation. However, the choice between character or p…
Harmonic Recomposition using Conditional Autoregressive Modeling
Kyle Kastner, Rithesh Kumar, Tim Cooijmans +1
We demonstrate a conditional autoregressive pipeline for efficient music recomposition, based on methods presented in van den Oord et al.(2017). Recomposition (Casal & Casey, 2010)…
Blindfold Baselines for Embodied QA
Ankesh Anand, Eugene Belilovsky, Kyle Kastner +2
We explore blindfold (question-only) baselines for Embodied Question Answering. The EmbodiedQA task requires an agent to answer a question by intelligently navigating in a simulate…
Learning Distributed Representations from Reviews for Collaborative Filtering
Amjad Almahairi, Kyle Kastner, Kyunghyun Cho +1
Recent work has shown that collaborative filter-based recommender systems can be improved by incorporating side information, such as natural language reviews, as a way of regulariz…