Publications
Amazon is a great place to do science and have real business impact. But product and service impact is only one element of the story. Amazon scientists continue to publish, teach and engage with the worldwide research community.
Computer vision

  • Computer vision
    Efficient Exploration of Text Regions in Natural Scene Images Using Adaptive Image Sampling
    Author: I. Zeki Yalniz, Douglas Gray, R. Manmatha
    Conference: ECCV 2016
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Conversational AI

  • Conversational AI
    Deep Learning Based Automatic Volume Control And Limiter System
    Author: Jun Yang (IEEE Senior Member), Philip Hilmes, Brian Adair, David W. Krueger
    Conference: IEEE Intern. Conf. on Acoustics, Speech, and Signal Processing (ICASSP 2017), New Orleans, USA
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  • Conversational AI
    Domain-Specific Utterance End-Point Detection for Speech Recognition
    Author: Roland Maas, Ariya Rastrow, Kyle Goehner, Gautam Tiwari, Shaun Joseph, Björn Hoffmeister
    Conference: Interspeech 2017, Stockholm
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  • Conversational AI
    Building an Architecture for Extensible Self-ServiceSpoken Language Understanding
    Author: A. Kmar, A. Gupta, J. Chan, S. Tucker, B. Hoffmeister, M. Dreyer, S. Peshterliev, A. Gandhe, D. Filiminov, A. Rastrow, C. Monson, Agnika
    Conference: NIPS 2017
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  • Conversational AI
    Max-Pooling Loss Trained Long Short Term Memory Network For Small-Footprint Keyword Spotting
    Author: M. Sun, A. Raju, S. Panchapagesan, G. Fu, A. Mandal, S. Matsoukas, N. Strom, S. Vitaladevuni
    Conference: 2016 IEEE Workshop on Spoken Language Technology (SLT 2016)
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  • Conversational AI
    Optimizing Speech Recognition Evaluation Using Stratified Sampling
    Author: Janne Pylkkonen, Thomas Drugman, Max Bisani
    Conference: Interspeech 2016 conference
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  • Conversational AI
    Active and Semi-Supervised Learning in ASR: Benefits on the Acoustic and Language Models
    Author: Thomas Drugman, Janne Pylkkonen, Reinhard Kneser
    Conference: Interspeech 2016
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  • Conversational AI
    Multi-task learning and Weighted Cross-entropy for DNN-based Keyword Spotting
    Author: S. Panchapagesan† , M. Sun, A. Khare, S. Matsoukas Arindam Mandal, B. Hoffmeister, S. Vitaladevuni
    Conference: Interspeech 2016, San Francisco
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  • Conversational AI
    LatticeRnn: Recurrent Neural Networks Over Lattices
    Author: Faisal Ladhak, Ankur Gandhe, Markus Dreyer Lambert Mathias, Ariya Rastrow, Bjorn Hoffmeister
    Conference: Interspeech 2016
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  • Conversational AI
    Anchored Speech Detection
    Author: Roland Maas, Sree Hari Krishnan Parthasarathi, Brian King, Ruitong Huang Bjorn Hoffmeister
    Conference: Interspeech 2016, San Francisco
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  • Conversational AI
    Accurate Endpointing with Expected Pause Duration
    Author: Baiyang Liu, Bjorn Hoffmeister, Ariya Rastrow
    Conference: Interspeech 2015
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  • Conversational AI
    Robust i-Vector Based Adaptation of DNN Acoustic Model for Speech Recognition
    Author: Sri Garimella, Arindam Mandal, Nikko Strom, Bjorn Hoffmeister, Spyros Matsoukas, Sree Hari Krishnan Parthasarathi
    Conference: Interspeech 2015
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  • Conversational AI
    fMLLR Based Feature-Space Speaker Adaptation of DNN Acoustic Models
    Author: Sree Hari Krishnan Parthasarathi, Bjorn Hoffmeister, Spyros Matsoukas, Sri Garimella, Arindam Mandal, Nikko Strom
    Conference: Interspeech 2015
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  • Conversational AI
    Scalable Distributed DNN Training Using Commodity GPU Cloud Computing
    Author: Nikko Strom
    Conference: Interspeech 2015
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  • Conversational AI
    Context Aware Conversational Understanding for Intelligent Agents with a Screen
    Author: Vishal Ishwar Naik, Angeliki Metallinou, Rahul Goel
    Conference: AAAI 2018
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  • Conversational AI
    Multi-Task Learning For Parsing The Alexa Meaning Representation Language
    Author: Vittorio Perera, Tagyoung Chung, Thomas Kollar, Emma Strubell
    Conference: AAAI 2018
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  • Conversational AI
    Direct Modeling of Raw Audio with DNNS for Wake Word Detection
    Author: Kenichi Kumatani, Sankaran Panchapagesan, Minhua Wu, Minjae Kim, Nikko Strom, Gautam Tiwari, Arindam Mandal
    Conference: ASRU 2017
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  • Conversational AI
    Robust Speech Recognition Via Anchor Word Representations
    Author: Brian King, I-Fan Chen, Yonatan Vaizman, Yuzong Liu, Roland Maas, SHK (Hari) Parthasarathi, Bjorn Hoffmeister
    Conference: Interspeech 2017
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  • Conversational AI
    Robust online i-vectors for unsupervised adaptation of DNN acoustic models: A study in the context of digital voice assistants"
    Author: Harish Arsikere, Sri Garimella
    Conference: Interspeech 2017
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  • Conversational AI
    Compressed time delay neural network for small-footprint keyword spotting
    Author: Ming Sun, David Snyder, Yixin Gao, Varun Nagaraja, Mike Rodehorst, Sankaran Panchapagesan, Nikko Strom, Spyros Matsoukas, Shiv Vitaladevuni
    Conference: Interspeech 2017
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  • Conversational AI
    Model Compression applied to small- footprint keyword spotting
    Author: George Tucker, Minhua Wu, Ming Sun, Sankaran Panchapagesan, Gengshen Fu, Shiv Vitaladevuni
    Conference: Interspeech 2016
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  • Conversational AI
    Search-based Evaluation from Truth Transcripts for Voice Search Applications
    Author: Francois Mairesse, Paul Raccuglia, Shiv Vitaladevuni
    Conference: SIGIR 2016
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  • Conversational AI
    Information Measures for Microphone Arrays
    Author: Mohamed Mansour
    Conference: EEE Intl. Conf. on Acoustics, Speech, and Signal Processing (ICASSP 2018)
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  • Conversational AI
    Monophone-Based Background Modeling for Two-Stage On-Device Wake Word Detection
    Authors: Minhua Wu, Sankaran Panchapagesan, Ming Sun, Jiacheng Gu, Ian Thomas, Shiv Naga Prasad Vitaladevuni, Bjorn Hoffmeister, Arindam Mandal
    Conference: ICASSP, 2018
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  • Conversational AI
    Time-Delayed Bottleneck Highway Networks Using A DFT Feature for Keyword Spotting
    Author(s): Jinxi Guo, Kenichi Kumatani, Ming Sun, Minhua Wu, Anirudh Raju, Nikko Strom, Arindam Mandal
    Conference: ICASSP, 2018
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  • Conversational AI
    Multilayer Adaptation-Based Complex Echo Cancellation and Voice Enhancement
    Author: Jun Yang
    Conference: ICASSP, 2018
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  • Conversational AI
    Combining Acoustic Embeddings and Decoding Features for End-of-Utterance Detection in Real-Time Far-Field Speech Recognition Systems
    Authors: Roland Maas, Ariya Rastrow, Chengyuan Ma, Guitang Lan Kyle Goehner, Gautam Tiwari, Shaun Joseph, Bjorn Hoffmeister
    Conference: ICASSP, 2018
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  • Conversational AI
    Efficient Large-Scale Domain Classification with Personalized Attention
    Authors: Young-Bum Kim, Dongchan Kim,Anjishnu Kumar, Ruhi Sarikaya
    Conference: ACL, 2018
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  • Conversational AI
    A Scalable Neural Shortlisting-Reranking Approach for Large-Scale Domain Classification in Natural Language Understanding
    Authors: Young-Bum Kim, Dongchan Kim, Joo-Kyung Kim, Ruhi Sarikaya
    Conference: NAACL 2018
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  • Dialog management
    Learning Robust Dialog Policies in Noisy Environments
    Author: Maryam Fazel-Zarandi, Shang-Wen Li, Jin Cao, Jared Casale, Peter Henderson, David Whitney, Alborz Geramifard
    Conference: NIPS 2017, Conversational AI Workshop
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Machine learning

  • Machine learning
    A Multi-Horizon Quantile Recurrent Forecaster
    Author: Ruofeng Wen, Kari Torkkola, Balakrishnan Narayanaswamy
    Conference: NIPS 2017 Time Series Workshop and arXiv
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  • Machine learning
    An Interpretable Latent Variable Model For Attribute Applicability In The Amazon Catalogue
    Author: Tammo Rukat, Dustin Lange, Cédric Archambeau
    Conference: NIPS 2017 Symposium on Interpretable Machine Learning
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  • Machine learning
    Machine Learning (ML) in the Real World
    Author: Gourav Roy, Rajeev Rastogi, Vineet Chaoji
    Conference: International Conference on Very Large Databases
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  • Machine learning
    Compacting Neural Network Classifiers via Dropout Training
    Author: Yotaru Kubo, George Tucker, Simon Wiesler
    Conference: NIPS 2016
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  • Machine learning
    Sparse and low-rank decomposition for big data systems via smoothed Riemannian optimization
    Author: Bamdev Misrha, Yuanming Shi
    Conference: NIPS 2016
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  • Machine learning
    Robust Random Cut Forest Based Anomaly Detection on Streams
    Author: Sudipto Guha, Nina Mishra, Gourav Roy, Okke Schrijvers
    Conference: ICML June 2016
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  • Machine learning
    Online Sparse Linear Regression
    Author: Dean Foster, Satyen Kale, Howard Karloff
    Conference: arXiv (STOC 2012)
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  • Machine learning
    Generative Adversarial Structured Networks
    Author: Ben London, Alex Schwing (UIUC)
    Conference: NIPS 2016 Workshop on Adversarial Training
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  • Machine learning
    Generalization Bounds for Randomized Learning with Application to Stochastic Gradient Descent
    Author: Ben London
    Conference: NIPS 2016 Workshop on Optimizing the Optimizers
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  • Machine learning
    An Efficient Bandit Algorithm for Realtime Multivariate Optimization
    Author: Daniel Hill, Houssam Nassif, Yi Liu, Anand Iyer, S. V. N. Vishwanathan
    Conference: KDD 2017
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  • Machine learning
    MRNet-Product2Vec: A Multi-task Recurrent Neural Network for Product Embeddings
    Author: Arijit Biswas, Mukul Bhutani, Subhajit Sanyal
    Conference: ECML-PKDD 2017
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Natural language processing

  • Natural language processing
    Achieving Fluency and Coherency in Task-Oriented Dialog
    Author: Rashmi Gangadharaiah, Balakrishnan Narayanaswamy, Charles Elkan
    Conference: NIPS 2017, Conversational AI Workshop
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  • Natural language processing
    Bingo at IJCNLP-2017 Task 4: Augmenting Data using Machine Translation for Cross-linguistic Customer Feedback Classification
    Author: Heba Elfardy, Jared Kramer, Manisha Srivastava, Wei Xiao, Tarun Agarwal
    Conference: IJCNLP 2017
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  • Natural language processing
    Labeling Topics with Images Using a Deep Neural Network
    Author: Nikolaos Aletras, Arpit Mittal
    Conference: EMNLP 2016
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  • Natural language processing
    Learning Structured Predictors from Bandit Feedback for Interactive NLP
    Author: Artem Sokolov, Julia Kreuzter, Chirstopher Lo, Stefan Riezler
    Conference: ACL 2016
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  • Natural language processing
    Stronger Baselines for Trustable Results in Neural Machine Translation
    Author: Michael Denkowski, Graham Neubig
    Conference: ACL 2017 Workshop on Neural Machine Translation
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  • Natural language processing
    Inducing Semantic Micro-Clusters from Deep Multi-View Representations of Novels
    Author: Lea Frermann, Gyorgy Szarvas
    Conference: EMNLP 2017
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  • Natural language processing
    Using Target-side Monolingual Data for Neural Machine Translation through Multi-task Learning
    Author: Tobias Domhan and Felix Hieber
    Conference: EMNLP 2017
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  • Natural language processing
    Multimodal Topic Labelling
    Author: I. Soroduc, J. H. Lau, N. Aletras, T. Baldwin
    Conference: EACL 2017
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  • Natural language processing
    Labeling Topics with Images using Neural Networks
    Author: Nikolaos Aletras and Arpit Mittal
    Conference: ECIR 2017
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  • Natural language processing
    Zero-Shot Learning across Heterogenous Overlapping Domains
    Author: Anjishnu Kumar, Pavankumar Reddy Muddireddy, Markus Dreyer, Björn Hoffmeister
    Conference: Interspeech 2017
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  • Natural language processing
    Transfer Learning for Neural Semantic Parsing
    Author: Xing Fan, Emilio Monti, Lambert Mathias, Markus Dreyer
    Conference: ACL 2017, Workshop "Representation Learning for NLP"
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  • Natural language processing
    Cynical Selection of Language Model Training Data
    Author: Amittai Axelrod
    Conference: arXiv [cs.CL]
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  • Natural language processing
    Data Selection with Cluster-Based Language Difference Models and Cynical Selection
    Author: Lucía Santamaría, Amittai Axelrod
    Conference: International Workshop on Spoken Language Translation (IWSLT) 2017
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  • Natural language processing
    Simple Large-scale Relation Extraction from Unstructured Text
    Authors: Christos Christodoulopoulos, Arpit Mittal
    Conference: Language Resources and Evaluation Conference (LREC) 2018
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  • Natural language processing
    CogCompNLP: Your Swiss Army Knife for NLP
    Author: Daniel Khashabi, Mark Sammons, Christos Christodoulopoulos, Bhargav Mangipudi, Tom Redman, Ben Zhou, Guanheng Luo, Shaoshi Ling and Dan Roth
    Conference: Language Resources and Evaluation Conference (LREC) 2018
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  • Natural language processing
    Sockeye: A Toolkit for Neural Machine Translation
    Author: Felix Hieber, Tobias Domhan, Michael Denkowski, David Vilar, Artem Sokolov, Ann Clifton, Matt Post
    Conference: arXiv
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  • Natural language processing
    Salience Rank: Efficient Keyphrase Extraction with Topic Modeling
    Author: Nedelina Teneva, Weiwei Cheng
    Conference: The 55th annual meeting of the Association for Computational Linguistics (ACL 2017)
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Operations research

  • Operations research
    Near-Optimal Disjoint-Path Facility Location Through Set Cover by Pairs
    Author: D.S. Johnson, L.Breslau, I. Diakonikolas, N. Duffield, Y. Gu, M. Hajiaghayi, H. Karloff, M.G.C. Resende, and S. Sen
    This report was submitted to Operations Research and is under review.
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  • Operations research
    Joint Inventory and Revenue Management with Removal Decisions
    Author: Alvaro Maggiar, Ali Sadighian
    This report was submitted as operations research to optimization-online.org.
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  • Operations research
    Velocity-Based Storage Assignment in Semi-Automated Storage Systems
    Author: Rong Yuan,Tolga Cezik, Stephen C. Graves
    Conference: Management Science, MSOM or POMS
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  • Operations research
    Bayesian Intermittent Demand Forecasting for Large Inventories
    Author: Matthias Seeger, David Salinas, Valentin Flunkert
    Conference: NIPS 2016
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  • Operations research
    A Relaxed Approach to Estimating Large Portfolios and Gross Exposure
    Author: Laurent Callot, Caner, Ulasan, Önder
    Conference: arXiv
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Optimization

  • Optimization
    Bayesian Optimization with Tree-structured Dependencies.
    Author: R. Jenatton, C. Archambeau, J. Gonzalez, M. Seeger
    Conference: 34th International Conference on Machine Learning (ICML 2017)
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  • Optimization
    Preferential Bayesian Optimization
    Author: Javier González · Zhenwen Dai · Andreas Damianou · Neil Lawrence
    Conference: 34th International Conference on Machine Learning (ICML 2017)
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  • Optimization
    A Riemannian gossip approach to decentralized matrix completion
    Author: Bamdev Mishra, Hiroyuki Kasai, Atul Saroop
    Conference: NIPS 2016 and arXiv
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  • Optimization
    Riemannian stochastic variance reduced gradient on Grassmann manifold
    Author: Bamdev Mishra,Hiroyuki Kasai, Hiroyuki Sato
    Conference: NIPS 2016 and arXiv
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  • Optimization
    Adaptive Algorithms for Online Convex Optimization with Long-term Constraints
    Author: Rodolphe Jenatton, Jim C. Huang, Cedric Archambeau
    Conference: ICML 2016
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  • Optimization
    Online Dual Decomposition for Performance and Delivery-Based Distributed Ad Allocation
    Author: Jim Huang, Rodolphe Jenatton, Cedric Archambeau
    Conference: KDD 2016
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  • Optimization
    Bounding the Integrality Distance of LP Relaxations for Structured Prediction
    Author: Ben London, Ofer Meshi (Google), Adrian Weller (U. of Cambridge)
    Conference: NIPS 2016 Workshop on Optimization for Machine Learning
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  • Optimization
    A PAC-Bayesian Analysis of Randomized Learning with Application to Stochastic Gradient Descent
    Author: Ben London
    Conference: NIPS 2017
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Search and personalization

  • Search and personalization
    A New Local Search For The P-Center Problem Based On The Critical Vertex Concept
    Author: Daniele Ferone, Paola Festa, Antonio Napoletano, and Mauricio G. C. Resende
    Conference: 11th Learning and Intelligent Optimization Conference (LION 2017)
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  • Search and personalization
    Optimization by GRASP: Greedy Randomized Adaptive Search Procedures
    Author: Mauricio G. C. Resende and Celso C. Ribeiro
    This is a book published in November 2016 by Springer.
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  • Search and personalization
    Two Decades of Recommender Systems at Amazon.com
    Author: Brent Smith and Greg Linden
    Conference: IEEE Internet Computing
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  • Search and personalization
    One-Pass Ranking Models for Low-Latency Product Recommendations
    Author: Antonino Freno, Martin Saveski, Rodolphe Jenatton, Cédric Archambeau
    Conference: ACM SIGKDD 2015
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  • Search and personalization
    Diversifying Music Recommendations
    Author: Houssam Nassif, Kemal Oral Cansizlar, Mitchell Goodman, S.V.N. Vishwanathan
    Conference: ICML 2016 Machine Learning for Music Discovery Workshop
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  • Search and personalization
    Adaptive, Personalized Diversity for Visual Discovery
    Author: Choon Hui Teo, Houssam Nassif, Daniel N. Hill, Sriram Srinivasan, Mitchell Goodman, Vijai Mohan, SVN (Vishy) Vishwanathan
    Conference: RecSys 2016
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  • Search and personalization
    Ranking and Calibrating Click-Attributed Purchases in Performance Display Advertising
    Author: Sougata Chaudhuri, abraham Bagherjeiran, James Liu
    Conference: AdKDD and TargetAd, 2017 (KDD 2017 Workshop)
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  • Search and personalization
    Intent Based Relevance Estimation from Click Logs
    Author: Prakash Mandayam Comar, Srinivasan H. Sengamedu
    Conference: CIKM 2017
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  • Search and personalization
    Recommending Product Sizes to Customers
    Author: Vivek Sembium, Rajeev Rastogi, Atul Saroop, Srujana Merugu
    Conference: RecSys 2017
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  • Search and personalization
    Amazon Search: The Joy of Ranking Products
    Author: Daria Sorokina, Erick Cantú-Paz
    Conference: SIGIR 2016, MLConf 2016, San Francisco
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  • Search and personalization
    Fashion Personalization
    Author: Madhu Kurup, Soo-Min Pantel
    Conference: Articifical Intelligence Conference
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Software engineering

  • Software engineering
    Kalman Folding 5: Non-Linear Models and the EKF
    Author: Brian Beckman
    Conference: ACM Queue / Communications of the ACM June 2016
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  • Software engineering
    Amazon Redshift and the Case for Simpler Data Warehouses
    Author: Anurag Gupta, Deepak Agarwal, Derek Tan, Jakub Kulesza, Rahul Pathak, Stefano Stefani, Vidhya Srinivasan
    Conference: ACM SIGMOD 2015
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  • Software engineering
    Amazon Aurora: Design Considerations for High Throughput Cloud-Native Relational Databases
    Author: A. Verbitski, A. Gupta, D. Saha, M. Brahmadesam, K. Gupta, R. Mittal, S. Krishnamurthy, S. Maurice, T. Kharatishvili, X. Bao
    Conference: ACM SIGMOD 2017
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Systems

  • Systems
    Probabilistic Demand Forecasting at Scale
    Author: J. Boese, V. Flunkert, J. Gasthaus, T. Januschowski, D. Lange, D. Salinas, S. Schelter, M. Seeger, Y. Wang
    Conference: VLDB 2017
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  • Systems
    Automatically Tracking Metadata and Provenance of Machine Learning Experiments
    Author: Sebastian Schelter, Joos-Hendrik Böse, Johannes Kirschnick, Thoralf Klein, Stephan Seufert
    Conference: Machine Learning Systems workshop at NIPS 2017
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  • Systems
    Declarative Metadata Management: A Missing Piece in End-To-End Machine Learning
    Author: Sebastian Schelter, Joos-Hendrik Böse, Johannes Kirschnick, Thoralf Klein, Stephan Seufert
    Conference: SysML 2018
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Text-to-Speech

  • Text-to-speech
    Phrase break prediction for long-form reading TTS: exploiting text structure information
    Author: Viacheslav Klimkov, Adam Nadolski, Alexis Moinet, Bartosz Putrycz, Roberto Barra-Chicote, Thomas Merritt, and Thomas Drugman
    Conference: Interspeech 2017
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