Machine Teaching Group

출판물

자료 보기:

- Do Machine Teachers Dream of Algorithms?
  
  Gonzalo Ramos, Felicia Ng, Nicole Sultanum, Chris Meek, Jina Suh, Soroush Ghorashi
  
  December 2019
  
  PDF
- Using Expert Patterns in Assisted Interactive Machine Learning: A Study in Machine Teaching
  
  Emily Wall, Soroush Ghorashi, Gonzalo Ramos
  
  Interact 2019 | September 2019
  
  PDF
- AnchorViz: Facilitating Semantic Data Exploration and Concept Discovery for Interactive Machine Learning
  
  Jina Suh, Soroush Ghorashi, Gonzalo Ramos, Nan-Chen Chen, Steven Drucker, Johan Verwey, Patrice Simard
  
  ACM Transactions on Interactive Intelligent Systems (TiiS) | August 2019, 제 10 권(1)
  
  Publication DOI
- Grounding Interactive Machine Learning Tool Design in How Non-Experts Actually Build Models
  
  Qian Yang, Jina Suh, Nan-Chen Chen, Gonzalo Ramos
  
  Proceeding of the 2018 Designing of Interactive Systems Conference | June 2018
  
  Publication
- AnchorViz: Facilitating Classifier Error Discovery through Interactive Semantic Data Exploration
  
  Nan-Chen Chen, Jina Suh, Johan Verwey, Gonzalo Ramos, Steven Drucker, Patrice Simard
  
  IUI ’18 23rd International Conference on Intelligent User Interfaces | March 2018
  
  ISBN: 978-1-4503-4945-1
  
  출판 출판
- Machine Teaching: A New Paradigm for Building Machine Learning Systems
  
  Patrice Simard, Saleema Amershi, Max Chickering, Alicia Edelman Pelton, Soroush Ghorashi, Chris Meek, Gonzalo Ramos, Jina Suh, Johan Verwey, Mo Wang, John Wernsing
  
  MSR-TR-2017-26 | July 2017
  
  출판 프로젝트
- Revolt: Collaborative Crowdsourcing for Labeling Machine Learning Datasets
  
  Joseph Chee Chang, Saleema Amershi, Ece Kamar
  
  Proceedings of the Conference on Human Factors in Computing Systems (CHI 2017) | May 2017
  
  출판
- A Characterization of Prediction Errors
  
  Chris Meek
  
  MSR-TR-2016-1105 | November 2016
  
  출판 출판 프로젝트
- Analysis of a Design Pattern for Teaching with Features and Labels
  
  Chris Meek, Patrice Simard, Xiaojin Zhu
  
  MSR-TR-2016-1104 | November 2016
  
  출판 출판 프로젝트
- Squares: Supporting Interactive Performance Analysis for Multiclass Classifiers
  
  Donghao Ren, Saleema Amershi, Bongshin Lee, Jina Suh, Jason Williams
  
  IEEE TVCG, VAST | August 2016
  
  출판 동영상 프로젝트
- Interactive Semantic Featuring for Text Classification
  
  Patrice Simard, Max Chickering, Jina Suh
  
  Proceedings of the 2016 ICML Workshop on Human Interpretability in Machine Learning (WHI 2016) | June 2016
  
  출판
- The Label Complexity of Mixed-Initiative Classiï¬er Training
  
  Jina Suh, Xiaojin Zhu, Saleema Amershi
  
  Proceedings of the 33rd International Conference on Machine Learning | June 2016
  
  출판 출판 출판
- FeatureInsight: Visual Support for Error-Driven Feature Ideation in Text Classification
  
  Michael Brooks, Saleema Amershi, Bongshin Lee, Steven Drucker, Ashish Kapoor, Patrice Simard
  
  IEEE VAST | October 2015
  
  출판 프로젝트
- Fast and Easy Language Understanding For Dialog Systems With Microsoft Language Understanding Intelligent Service (LUIS)
  
  Jason Williams, Eslam Kamal, Mikhtar Ashour, Hani Amr, Jessica Miller, Geoffrey Zweig
  
  Proceedings of 2015 SIGDIAL Conference, Prague | September 2015
  
  Demonstration at SIGDIAL 2015.
  
  출판 프로젝트 프로젝트
- ModelTracker: Redesigning Performance Analysis Tools for Machine Learning
  
  Saleema Amershi, Max Chickering, Steven Drucker, Bongshin Lee, Patrice Simard, Jina Suh
  
  Proceedings of the Conference on Human Factors in Computing Systems (CHI 2015) | April 2015
  
  출판 출판 프로젝트 프로젝트
- Rapidly Scaling Dialog Systems with Interactive Learning
  
  Jason Williams, Nobal B. Niraula, Pradeep Dasigi, Aparna Lakshmiratan, Carlos Garcia Jurado Suarez, Mouni Reddy, Geoffrey Zweig
  
  January 2015
  
  출판 프로젝트 프로젝트 프로젝트
- Power to the People: The Role of Humans in Interactive Machine Learning
  
  Saleema Amershi, Maya Cakmak, W. Bradley Knox, Todd Kulesza
  
  AI Magazine | December 2014
  
  출판 출판
- ICE: Enabling Non-Experts to Build Models Interactively for Large-Scale Lopsided Problems
  
  Patrice Simard, Max Chickering, Apama Lakshmiratan, Denis Charles, Leon Bottou, Carlos Garcia Jurado Suarez, David Grangier, Saleema Amershi, Johan Verwey, Jina Suh
  
  MSR-TR-2014-128 | September 2014
  
  출판 프로젝트
- Aggregating Ordinal Labels from Crowds by Minimax Conditional Entropy
  
  Denny Zhou, Qiang Liu, John Platt, Chris Meek
  
  Proceedings of the 31st International Conference on Machine Learning (ICML) | June 2014
  
  Proceedings of the 31st International Conference on Machine Learning (ICML)
  
  출판 출판 프로젝트
- Structured Labeling for Facilitating Concept Evolution in Machine Learning
  
  Todd Kulesza, Saleema Amershi, Rich Caruana, Danyel Fisher, Denis Charles
  
  Proceedings of the Conference on Human Factors in Computing Systems (CHI 2014) | May 2014
  
  Best Paper Award
  
  출판 출판
- Learning from Our Mistakes: Towards a Correctable Learning Algorithm
  
  Karthik Raman, Krysta M. Svore, Ran Gilad-Bachrach, Chris J.C. Burges
  
  21st International Conference on Information and Knowledge Management (CIKM) | October 2012
  
  21st International Conference on Information and Knowledge Management (CIKM)
  
  출판

- Do Machine Teachers Dream of Algorithms?
  
  Gonzalo Ramos, Felicia Ng, Nicole Sultanum, Chris Meek, Jina Suh, Soroush Ghorashi
  
  December 2019
  
  PDF
- Using Expert Patterns in Assisted Interactive Machine Learning: A Study in Machine Teaching
  
  Emily Wall, Soroush Ghorashi, Gonzalo Ramos
  
  Interact 2019 | September 2019
  
  PDF
- AnchorViz: Facilitating Semantic Data Exploration and Concept Discovery for Interactive Machine Learning
  
  Jina Suh, Soroush Ghorashi, Gonzalo Ramos, Nan-Chen Chen, Steven Drucker, Johan Verwey, Patrice Simard
  
  ACM Transactions on Interactive Intelligent Systems (TiiS) | August 2019, 제 10 권(1)
  
  Publication DOI
- Grounding Interactive Machine Learning Tool Design in How Non-Experts Actually Build Models
  
  Qian Yang, Jina Suh, Nan-Chen Chen, Gonzalo Ramos
  
  Proceeding of the 2018 Designing of Interactive Systems Conference | June 2018
  
  Publication
- AnchorViz: Facilitating Classifier Error Discovery through Interactive Semantic Data Exploration
  
  Nan-Chen Chen, Jina Suh, Johan Verwey, Gonzalo Ramos, Steven Drucker, Patrice Simard
  
  IUI ’18 23rd International Conference on Intelligent User Interfaces | March 2018
  
  ISBN: 978-1-4503-4945-1
  
  출판 출판
- Machine Teaching: A New Paradigm for Building Machine Learning Systems
  
  Patrice Simard, Saleema Amershi, Max Chickering, Alicia Edelman Pelton, Soroush Ghorashi, Chris Meek, Gonzalo Ramos, Jina Suh, Johan Verwey, Mo Wang, John Wernsing
  
  MSR-TR-2017-26 | July 2017
  
  출판 프로젝트
- Revolt: Collaborative Crowdsourcing for Labeling Machine Learning Datasets
  
  Joseph Chee Chang, Saleema Amershi, Ece Kamar
  
  Proceedings of the Conference on Human Factors in Computing Systems (CHI 2017) | May 2017
  
  출판
- A Characterization of Prediction Errors
  
  Chris Meek
  
  MSR-TR-2016-1105 | November 2016
  
  출판 출판 프로젝트
- Analysis of a Design Pattern for Teaching with Features and Labels
  
  Chris Meek, Patrice Simard, Xiaojin Zhu
  
  MSR-TR-2016-1104 | November 2016
  
  출판 출판 프로젝트
- Squares: Supporting Interactive Performance Analysis for Multiclass Classifiers
  
  Donghao Ren, Saleema Amershi, Bongshin Lee, Jina Suh, Jason Williams
  
  IEEE TVCG, VAST | August 2016
  
  출판 동영상 프로젝트
- Interactive Semantic Featuring for Text Classification
  
  Patrice Simard, Max Chickering, Jina Suh
  
  Proceedings of the 2016 ICML Workshop on Human Interpretability in Machine Learning (WHI 2016) | June 2016
  
  출판
- The Label Complexity of Mixed-Initiative Classiï¬er Training
  
  Jina Suh, Xiaojin Zhu, Saleema Amershi
  
  Proceedings of the 33rd International Conference on Machine Learning | June 2016
  
  출판 출판 출판
- FeatureInsight: Visual Support for Error-Driven Feature Ideation in Text Classification
  
  Michael Brooks, Saleema Amershi, Bongshin Lee, Steven Drucker, Ashish Kapoor, Patrice Simard
  
  IEEE VAST | October 2015
  
  출판 프로젝트
- ModelTracker: Redesigning Performance Analysis Tools for Machine Learning
  
  Saleema Amershi, Max Chickering, Steven Drucker, Bongshin Lee, Patrice Simard, Jina Suh
  
  Proceedings of the Conference on Human Factors in Computing Systems (CHI 2015) | April 2015
  
  출판 출판 프로젝트 프로젝트
- Rapidly Scaling Dialog Systems with Interactive Learning
  
  Jason Williams, Nobal B. Niraula, Pradeep Dasigi, Aparna Lakshmiratan, Carlos Garcia Jurado Suarez, Mouni Reddy, Geoffrey Zweig
  
  January 2015
  
  출판 프로젝트 프로젝트 프로젝트
- Power to the People: The Role of Humans in Interactive Machine Learning
  
  Saleema Amershi, Maya Cakmak, W. Bradley Knox, Todd Kulesza
  
  AI Magazine | December 2014
  
  출판 출판
- ICE: Enabling Non-Experts to Build Models Interactively for Large-Scale Lopsided Problems
  
  Patrice Simard, Max Chickering, Apama Lakshmiratan, Denis Charles, Leon Bottou, Carlos Garcia Jurado Suarez, David Grangier, Saleema Amershi, Johan Verwey, Jina Suh
  
  MSR-TR-2014-128 | September 2014
  
  출판 프로젝트
- Aggregating Ordinal Labels from Crowds by Minimax Conditional Entropy
  
  Denny Zhou, Qiang Liu, John Platt, Chris Meek
  
  Proceedings of the 31st International Conference on Machine Learning (ICML) | June 2014
  
  Proceedings of the 31st International Conference on Machine Learning (ICML)
  
  출판 출판 프로젝트
- Structured Labeling for Facilitating Concept Evolution in Machine Learning
  
  Todd Kulesza, Saleema Amershi, Rich Caruana, Danyel Fisher, Denis Charles
  
  Proceedings of the Conference on Human Factors in Computing Systems (CHI 2014) | May 2014
  
  Best Paper Award
  
  출판 출판
- Learning from Our Mistakes: Towards a Correctable Learning Algorithm
  
  Karthik Raman, Krysta M. Svore, Ran Gilad-Bachrach, Chris J.C. Burges
  
  21st International Conference on Information and Knowledge Management (CIKM) | October 2012
  
  21st International Conference on Information and Knowledge Management (CIKM)
  
  출판
- Do Machine Teachers Dream of Algorithms?
  
  Gonzalo Ramos, Felicia Ng, Nicole Sultanum, Chris Meek, Jina Suh, Soroush Ghorashi
  
  December 2019
  
  PDF
- Using Expert Patterns in Assisted Interactive Machine Learning: A Study in Machine Teaching
  
  Emily Wall, Soroush Ghorashi, Gonzalo Ramos
  
  Interact 2019 | September 2019
  
  PDF
- AnchorViz: Facilitating Semantic Data Exploration and Concept Discovery for Interactive Machine Learning
  
  Jina Suh, Soroush Ghorashi, Gonzalo Ramos, Nan-Chen Chen, Steven Drucker, Johan Verwey, Patrice Simard
  
  ACM Transactions on Interactive Intelligent Systems (TiiS) | August 2019, 제 10 권(1)
  
  Publication DOI
- Grounding Interactive Machine Learning Tool Design in How Non-Experts Actually Build Models
  
  Qian Yang, Jina Suh, Nan-Chen Chen, Gonzalo Ramos
  
  Proceeding of the 2018 Designing of Interactive Systems Conference | June 2018
  
  Publication
- AnchorViz: Facilitating Classifier Error Discovery through Interactive Semantic Data Exploration
  
  Nan-Chen Chen, Jina Suh, Johan Verwey, Gonzalo Ramos, Steven Drucker, Patrice Simard
  
  IUI ’18 23rd International Conference on Intelligent User Interfaces | March 2018
  
  ISBN: 978-1-4503-4945-1
  
  출판 출판
- Machine Teaching: A New Paradigm for Building Machine Learning Systems
  
  Patrice Simard, Saleema Amershi, Max Chickering, Alicia Edelman Pelton, Soroush Ghorashi, Chris Meek, Gonzalo Ramos, Jina Suh, Johan Verwey, Mo Wang, John Wernsing
  
  MSR-TR-2017-26 | July 2017
  
  출판 프로젝트
- Revolt: Collaborative Crowdsourcing for Labeling Machine Learning Datasets
  
  Joseph Chee Chang, Saleema Amershi, Ece Kamar
  
  Proceedings of the Conference on Human Factors in Computing Systems (CHI 2017) | May 2017
  
  출판
- The Label Complexity of Mixed-Initiative Classiï¬er Training
  
  Jina Suh, Xiaojin Zhu, Saleema Amershi
  
  Proceedings of the 33rd International Conference on Machine Learning | June 2016
  
  출판 출판 출판
- ModelTracker: Redesigning Performance Analysis Tools for Machine Learning
  
  Saleema Amershi, Max Chickering, Steven Drucker, Bongshin Lee, Patrice Simard, Jina Suh
  
  Proceedings of the Conference on Human Factors in Computing Systems (CHI 2015) | April 2015
  
  출판 출판 프로젝트 프로젝트
- Rapidly Scaling Dialog Systems with Interactive Learning
  
  Jason Williams, Nobal B. Niraula, Pradeep Dasigi, Aparna Lakshmiratan, Carlos Garcia Jurado Suarez, Mouni Reddy, Geoffrey Zweig
  
  January 2015
  
  출판 프로젝트 프로젝트 프로젝트
- Power to the People: The Role of Humans in Interactive Machine Learning
  
  Saleema Amershi, Maya Cakmak, W. Bradley Knox, Todd Kulesza
  
  AI Magazine | December 2014
  
  출판 출판
- ICE: Enabling Non-Experts to Build Models Interactively for Large-Scale Lopsided Problems
  
  Patrice Simard, Max Chickering, Apama Lakshmiratan, Denis Charles, Leon Bottou, Carlos Garcia Jurado Suarez, David Grangier, Saleema Amershi, Johan Verwey, Jina Suh
  
  MSR-TR-2014-128 | September 2014
  
  출판 프로젝트
- Structured Labeling for Facilitating Concept Evolution in Machine Learning
  
  Todd Kulesza, Saleema Amershi, Rich Caruana, Danyel Fisher, Denis Charles
  
  Proceedings of the Conference on Human Factors in Computing Systems (CHI 2014) | May 2014
  
  Best Paper Award
  
  출판 출판
- AnchorViz: Facilitating Classifier Error Discovery through Interactive Semantic Data Exploration
  
  Nan-Chen Chen, Jina Suh, Johan Verwey, Gonzalo Ramos, Steven Drucker, Patrice Simard
  
  IUI ’18 23rd International Conference on Intelligent User Interfaces | March 2018
  
  ISBN: 978-1-4503-4945-1
  
  출판 출판
- Squares: Supporting Interactive Performance Analysis for Multiclass Classifiers
  
  Donghao Ren, Saleema Amershi, Bongshin Lee, Jina Suh, Jason Williams
  
  IEEE TVCG, VAST | August 2016
  
  출판 동영상 프로젝트
- FeatureInsight: Visual Support for Error-Driven Feature Ideation in Text Classification
  
  Michael Brooks, Saleema Amershi, Bongshin Lee, Steven Drucker, Ashish Kapoor, Patrice Simard
  
  IEEE VAST | October 2015
  
  출판 프로젝트
- Fast and Easy Language Understanding For Dialog Systems With Microsoft Language Understanding Intelligent Service (LUIS)
  
  Jason Williams, Eslam Kamal, Mikhtar Ashour, Hani Amr, Jessica Miller, Geoffrey Zweig
  
  Proceedings of 2015 SIGDIAL Conference, Prague | September 2015
  
  Demonstration at SIGDIAL 2015.
  
  출판 프로젝트 프로젝트
- Fast and Easy Language Understanding For Dialog Systems With Microsoft Language Understanding Intelligent Service (LUIS)
  
  Jason Williams, Eslam Kamal, Mikhtar Ashour, Hani Amr, Jessica Miller, Geoffrey Zweig
  
  Proceedings of 2015 SIGDIAL Conference, Prague | September 2015
  
  Demonstration at SIGDIAL 2015.
  
  출판 프로젝트 프로젝트
- Learning from Our Mistakes: Towards a Correctable Learning Algorithm
  
  Karthik Raman, Krysta M. Svore, Ran Gilad-Bachrach, Chris J.C. Burges
  
  21st International Conference on Information and Knowledge Management (CIKM) | October 2012
  
  21st International Conference on Information and Knowledge Management (CIKM)
  
  출판

- AnchorViz: Facilitating Semantic Data Exploration and Concept Discovery for Interactive Machine Learning
  
  Jina Suh, Soroush Ghorashi, Gonzalo Ramos, Nan-Chen Chen, Steven Drucker, Johan Verwey, Patrice Simard
  
  ACM Transactions on Interactive Intelligent Systems (TiiS) | August 2019, 제 10 권(1)
  
  Publication DOI
- Power to the People: The Role of Humans in Interactive Machine Learning
  
  Saleema Amershi, Maya Cakmak, W. Bradley Knox, Todd Kulesza
  
  AI Magazine | December 2014
  
  출판 출판
- Using Expert Patterns in Assisted Interactive Machine Learning: A Study in Machine Teaching
  
  Emily Wall, Soroush Ghorashi, Gonzalo Ramos
  
  Interact 2019 | September 2019
  
  PDF
- Grounding Interactive Machine Learning Tool Design in How Non-Experts Actually Build Models
  
  Qian Yang, Jina Suh, Nan-Chen Chen, Gonzalo Ramos
  
  Proceeding of the 2018 Designing of Interactive Systems Conference | June 2018
  
  Publication
- AnchorViz: Facilitating Classifier Error Discovery through Interactive Semantic Data Exploration
  
  Nan-Chen Chen, Jina Suh, Johan Verwey, Gonzalo Ramos, Steven Drucker, Patrice Simard
  
  IUI ’18 23rd International Conference on Intelligent User Interfaces | March 2018
  
  ISBN: 978-1-4503-4945-1
  
  출판 출판
- Revolt: Collaborative Crowdsourcing for Labeling Machine Learning Datasets
  
  Joseph Chee Chang, Saleema Amershi, Ece Kamar
  
  Proceedings of the Conference on Human Factors in Computing Systems (CHI 2017) | May 2017
  
  출판
- Squares: Supporting Interactive Performance Analysis for Multiclass Classifiers
  
  Donghao Ren, Saleema Amershi, Bongshin Lee, Jina Suh, Jason Williams
  
  IEEE TVCG, VAST | August 2016
  
  출판 동영상 프로젝트
- Interactive Semantic Featuring for Text Classification
  
  Patrice Simard, Max Chickering, Jina Suh
  
  Proceedings of the 2016 ICML Workshop on Human Interpretability in Machine Learning (WHI 2016) | June 2016
  
  출판
- The Label Complexity of Mixed-Initiative Classiï¬er Training
  
  Jina Suh, Xiaojin Zhu, Saleema Amershi
  
  Proceedings of the 33rd International Conference on Machine Learning | June 2016
  
  출판 출판 출판
- FeatureInsight: Visual Support for Error-Driven Feature Ideation in Text Classification
  
  Michael Brooks, Saleema Amershi, Bongshin Lee, Steven Drucker, Ashish Kapoor, Patrice Simard
  
  IEEE VAST | October 2015
  
  출판 프로젝트
- Fast and Easy Language Understanding For Dialog Systems With Microsoft Language Understanding Intelligent Service (LUIS)
  
  Jason Williams, Eslam Kamal, Mikhtar Ashour, Hani Amr, Jessica Miller, Geoffrey Zweig
  
  Proceedings of 2015 SIGDIAL Conference, Prague | September 2015
  
  Demonstration at SIGDIAL 2015.
  
  출판 프로젝트 프로젝트
- ModelTracker: Redesigning Performance Analysis Tools for Machine Learning
  
  Saleema Amershi, Max Chickering, Steven Drucker, Bongshin Lee, Patrice Simard, Jina Suh
  
  Proceedings of the Conference on Human Factors in Computing Systems (CHI 2015) | April 2015
  
  출판 출판 프로젝트 프로젝트
- Rapidly Scaling Dialog Systems with Interactive Learning
  
  Jason Williams, Nobal B. Niraula, Pradeep Dasigi, Aparna Lakshmiratan, Carlos Garcia Jurado Suarez, Mouni Reddy, Geoffrey Zweig
  
  January 2015
  
  출판 프로젝트 프로젝트 프로젝트
- Aggregating Ordinal Labels from Crowds by Minimax Conditional Entropy
  
  Denny Zhou, Qiang Liu, John Platt, Chris Meek
  
  Proceedings of the 31st International Conference on Machine Learning (ICML) | June 2014
  
  Proceedings of the 31st International Conference on Machine Learning (ICML)
  
  출판 출판 프로젝트
- Structured Labeling for Facilitating Concept Evolution in Machine Learning
  
  Todd Kulesza, Saleema Amershi, Rich Caruana, Danyel Fisher, Denis Charles
  
  Proceedings of the Conference on Human Factors in Computing Systems (CHI 2014) | May 2014
  
  Best Paper Award
  
  출판 출판
- Learning from Our Mistakes: Towards a Correctable Learning Algorithm
  
  Karthik Raman, Krysta M. Svore, Ran Gilad-Bachrach, Chris J.C. Burges
  
  21st International Conference on Information and Knowledge Management (CIKM) | October 2012
  
  21st International Conference on Information and Knowledge Management (CIKM)
  
  출판
- Do Machine Teachers Dream of Algorithms?
  
  Gonzalo Ramos, Felicia Ng, Nicole Sultanum, Chris Meek, Jina Suh, Soroush Ghorashi
  
  December 2019
  
  PDF
- Machine Teaching: A New Paradigm for Building Machine Learning Systems
  
  Patrice Simard, Saleema Amershi, Max Chickering, Alicia Edelman Pelton, Soroush Ghorashi, Chris Meek, Gonzalo Ramos, Jina Suh, Johan Verwey, Mo Wang, John Wernsing
  
  MSR-TR-2017-26 | July 2017
  
  출판 프로젝트
- A Characterization of Prediction Errors
  
  Chris Meek
  
  MSR-TR-2016-1105 | November 2016
  
  출판 출판 프로젝트
- Analysis of a Design Pattern for Teaching with Features and Labels
  
  Chris Meek, Patrice Simard, Xiaojin Zhu
  
  MSR-TR-2016-1104 | November 2016
  
  출판 출판 프로젝트
- ICE: Enabling Non-Experts to Build Models Interactively for Large-Scale Lopsided Problems
  
  Patrice Simard, Max Chickering, Apama Lakshmiratan, Denis Charles, Leon Bottou, Carlos Garcia Jurado Suarez, David Grangier, Saleema Amershi, Johan Verwey, Jina Suh
  
  MSR-TR-2014-128 | September 2014
  
  출판 프로젝트