Amazon Research Awards (ARA)

קרן	Amazon
מדינה	U.S.A.
סוג	Fellowships/Scholarships, Research Grants, Postdoctoral Bursaries, Post-Doctoral Fellowships
תאריך אחרון	04/10/2019
פקולטה	Engineering, Exact Sciences, Humanities, Management, Social Sciences
תיאור	The ARA program funds projects conducted primarily by PhD students or post docs, under the supervision of the faculty member awarded the funds. Research topics: Computer vision Recognition: categorization, detection, segmentation Visual search Deep neural network compression and optimization Video understanding: actions, events Large-scale data annotation Computer vision for apparel Human body: detection, tracking, pose Motion: segmentation, tracking 3D modeling: structure-from-motion, slam, stereo and reconstruction Computational photography Computer vision for robotics Faces and gestures Image and video captioning Fairness in artificial intelligence Transparency, explainability, and accountability in AI systems Theories of computational/algorithm fairness and factors that affect algorithmic trustworthiness Ethical decision-support and decision-making systems Detecting and ameliorating adverse biases in data and algorithms, and fairness-aware design of algorithms Metrics and methods for designing, piloting, and evaluating systems that mitigate against adverse biases and ensure fairness, including the use of human-machine collaboration and decision support Statistical methods for detecting bias in systems as they are operating Knowledge management and data quality Data cleaning for machine learning Graph mining from knowledge graphs and user behaviors Knowledge embedding Knowledge extraction from unstructured and semi-structured data Knowledge verification Knowledge-based search Large-scale data alignment and integration Leveraging structured knowledge in deep learning and recommendation Quantitative and logical error detection Machine learning algorithms and theory Active learning and data cleaning Data and resource efficient learning Deep learning and representation learning Fair, explicable and interpretable learning Transfer and meta-learning Online and continual learning Parallel and distributed Learning Robust and privacy preserving learning Reinforcement learning Natural language processing Advances in neural MT for noisy and user-generated content Chatbots and dialogue systems Detection of inappropriate content Efficient training and fast inference for neural MT Context-aware MT Explainability in neural NLP methods Fact extraction, verification and trustworthiness in unstructured data Multitask and reinforcement learning for MT Named entity translation and transliteration NLP applications in search Question answering Text summarization Narrative understanding Common sense inference Online advertising AI methods for online advertising Algorithmic marketing Large scale experimentation and testing Learning mechanisms Measurement of brand advertising Online algorithms for targeting, bidding and pricing Optimizing for long term objectives Prediction, forecasting and automated decision making in ad systems Structure of advertising marketplaces Operations research and optimization Assortment management Management of warehouse operations Marketplace design: incentives/policies for increasing efficiency and growth in a multi-agent marketplace Strategic supply chain management: network design/topology Tactical supply chain management: vendor management (including supplier contract negotiation and procurement), inventory buying, inventory deployment, demand fulfillment Transportation: long-haul operations (including airline operations), last-mile operations Other supply chain optimization topic Personalization Approaches to estimate quality of recommenders using abundant implicit and sparse explicit feedback Detecting and responding to spam in behavioral data to protect customers in recommendation contexts Scalable NLP approaches for search query understanding for non-English Scalable approaches to detect incorrect catalog information Approaches to identity synonyms in noisy product catalog Item-to-item collaborative filtering using deep learning Robotics Affective and social interactions Autonomous navigation and mobility Dexterous and reactive manipulation Human machine interaction and collaboration Machine learning and learning from human preferences Motion planning Multi-robot systems and multi-agent pathfinding Object detection and pose estimation Sample-efficient reinforcement learning Semantic scene understanding for robotics Simulation and sim to real transfer SLAM and long-term autonomy Theoretical advances as well as practical applications Search and information retrieval Multilingual language understanding Conversational search Security, privacy and abuse prevention Funding: $80,000 Duration: 1 year Research Authority due date: 26.9.19
קבצים מצורפים
קישור	לאתר
עדכון אחרון	עדכון אחרון: 15/07/2019

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