Eric Crawford

3 papers · 2018–2020 · 2 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (12) 🐣 Hot Topic Early Bird 🚀 Conference Pioneer

Venues

AAAI (2) EMNLP (1)

Top co-authors

Joelle Pineau (2) Yikang Shen (1) Yue Dong (1) Herke van Hoof (1) Jackie Chi Kit CHEUNG (1)

Research topics

Machine Learning (3) Learning Types · Machine Learning (3) Computer Vision (2) Deep Learning (2) Analysis (2) Learning Types · Deep Learning (2) Natural Language Processing (1) Reinforcement Learning (1) Architectures (1) Core AI (1) Generation (1) Methods (1) Processing (1)

Keywords

object discovery (2) convolutional neural network (2) spatial invariance (2) computer vision (1) policy gradient (1) unsupervised object detection (1) extractive summarization (1) video understanding (1) object tracking (1) contextual bandit (1) convolutional network (1) rouge score (1) spatial attention (1) attend infer repeat (1) unsupervised learning (1) unsupervised object tracking (1) deep reinforcement learning (1) reinforcement learning (1)

Papers

Exploiting Spatial Invariance for Scalable Unsupervised Object Tracking AAAI 2020 Spatially Invariant Unsupervised Object Detection with Convolutional Neural Networks AAAI 2019 BanditSum: Extractive Summarization as a Contextual Bandit EMNLP 2018