575 citations
- University of WashingtonUS32 papers
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- Allen Institute for Brain ScienceUS16 papers
- Allen Institute for Artificial IntelligenceUS11 papers
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9 papers · 1 filter
Pushing it out of the Way: Interactive Visual Navigation
Kuo-Hao Zeng, Luca Weihs, Ali Farhadi +1
We have observed significant progress in visual navigation for embodied agents. A common assumption in studying visual navigation is that the environments are static; this is a lim…
Unlabeled Data Guided Semi-supervised Histopathology Image Segmentation
Hongxiao Wang, Hao Zheng, Jianxu Chen +3
Automatic histopathology image segmentation is crucial to disease analysis. Limited available labeled data hinders the generalizability of trained models under the fully supervised…
Visual Semantic Navigation using Scene Priors
Wei Yang, Xiaolong Wang, Ali Farhadi +2
How do humans navigate to target objects in novel scenes? Do we use the semantic/functional priors we have built over years to efficiently search and navigate? For example, to sear…
Probabilistic Fluorescence-Based Synapse Detection
Anish K. Simhal, Cecilia Aguerrebere, Forrest Collman +5
Brain function results from communication between neurons connected by complex synaptic networks. Synapses are themselves highly complex and diverse signaling machines, containing…
Target-driven Visual Navigation in Indoor Scenes using Deep Reinforcement Learning
Yuke Zhu, Roozbeh Mottaghi, Eric Kolve +4
Two less addressed issues of deep reinforcement learning are (1) lack of generalization capability to new target goals, and (2) data inefficiency i.e., the model requires several (…
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks
Mohammad Rastegari, Vicente Ordonez, Joseph Redmon +1
We propose two efficient approximations to standard convolutional neural networks: Binary-Weight-Networks and XNOR-Networks. In Binary-Weight-Networks, the filters are approximated…