Publications (18)
Scalable, High-Quality Object Detection
Christian Szegedy, Scott Reed, Dumitru Erhan +2
Neural Programmer-Interpreters
Scott Reed, Nando de Freitas
Neural Arithmetic Logic Units
Andrew Trask, Felix Hill, Scott Reed +3
Going Deeper with Convolutions
Christian Szegedy, Wei Liu, Yangqing Jia +6
SSD: Single Shot MultiBox Detector
Wei Liu, Dragomir Anguelov, Dumitru Erhan +4
One-Shot High-Fidelity Imitation: Training Large-Scale Deep Nets with RL
Tom Le Paine, Sergio Gómez Colmenarejo, Ziyu Wang +8
Learning Deep Representations of Fine-grained Visual Descriptions
Scott Reed, Zeynep Akata, Bernt Schiele +1
Parallel Multiscale Autoregressive Density Estimation
Scott Reed, Aäron van den Oord, Nal Kalchbrenner +4
Few-shot Autoregressive Density Estimation: Towards Learning to Learn Distributions
Scott Reed, Yutian Chen, Thomas Paine +5
ScanComplete: Large-Scale Scene Completion and Semantic Segmentation for 3D Scans
Angela Dai, Daniel Ritchie, Martin Bokeloh +3
Biologically Inspired Nanomaterials: A Conference Report
Melik Demirel, Atul Parikh, Vincent Crespi +1
Evaluation of Output Embeddings for Fine-Grained Image Classification
Zeynep Akata, Scott Reed, Daniel Walter +2
Sample Efficient Adaptive Text-to-Speech
Yutian Chen, Yannis Assael, Brendan Shillingford +11
Robust Imitation of Diverse Behaviors
Ziyu Wang, Josh Merel, Scott Reed +3
Learning What and Where to Draw
Scott Reed, Zeynep Akata, Santosh Mohan +3
Training Deep Neural Networks on Noisy Labels with Bootstrapping
Scott Reed, Honglak Lee, Dragomir Anguelov +3
Generative Adversarial Text to Image Synthesis
Scott Reed, Zeynep Akata, Xinchen Yan +3
Weakly-supervised Disentangling with Recurrent Transformations for 3D View Synthesis
Jimei Yang, Scott Reed, Ming-Hsuan Yang +1