NIPS Proceedingsβ

Alexander Schwing

10 Papers

  • Deep Structured Prediction with Nonlinear Output Transformations (2018)
  • GradiVeQ: Vector Quantization for Bandwidth-Efficient Gradient Aggregation in Distributed CNN Training (2018)
  • Out of the Box: Reasoning with Graph Convolution Nets for Factual Visual Question Answering (2018)
  • Pipe-SGD: A Decentralized Pipelined SGD Framework for Distributed Deep Net Training (2018)
  • Asynchronous Parallel Coordinate Minimization for MAP Inference (2017)
  • Diverse and Accurate Image Description Using a Variational Auto-Encoder with an Additive Gaussian Encoding Space (2017)
  • Dualing GANs (2017)
  • High-Order Attention Models for Visual Question Answering (2017)
  • Interpretable and Globally Optimal Prediction for Textual Grounding using Image Concepts (2017)
  • MaskRNN: Instance Level Video Object Segmentation (2017)