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- affiliation: Stanford University, Stanford, CA, USA
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2020 – today
- 2022
[j26]Xinlan Emily Hu, Rebecca Hinds, Melissa A. Valentine, Michael S. Bernstein:
A "Distance Matters" Paradox: Facilitating Intra-Team Collaboration Can Harm Inter-Team Collaboration. Proc. ACM Hum. Comput. Interact. 6(CSCW1): 48:1-48:36 (2022)- [j25]Durim Morina, Michael S. Bernstein:
A Web-Scale Analysis of the Community Origins of Image Memes. Proc. ACM Hum. Comput. Interact. 6(CSCW1): 74:1-74:25 (2022) - [j24]Christina A. Pan, Sahil Yakhmi, Tara P. Iyer, Evan Strasnick, Amy X. Zhang, Michael S. Bernstein:
Comparing the Perceived Legitimacy of Content Moderation Processes: Contractors, Algorithms, Expert Panels, and Digital Juries. Proc. ACM Hum. Comput. Interact. 6(CSCW1): 82:1-82:31 (2022) - [c108]Mitchell L. Gordon, Michelle S. Lam, Joon Sung Park, Kayur Patel, Jeffrey T. Hancock, Tatsunori Hashimoto, Michael S. Bernstein:
Jury Learning: Integrating Dissenting Voices into Machine Learning Models. CHI 2022: 115:1-115:19 - [c107]Joon Sung Park, Lindsay Popowski, Carrie J. Cai, Meredith Ringel Morris, Percy Liang, Michael S. Bernstein:
Social Simulacra: Creating Populated Prototypes for Social Computing Systems. UIST 2022: 74:1-74:18 - [i45]Xinlan Emily Hu, Rebecca Hinds, Melissa A. Valentine, Michael S. Bernstein:
A "Distance Matters" Paradox: Facilitating Intra-Team Collaboration Can Harm Inter-Team Collaboration. CoRR abs/2202.02484 (2022) - [i44]Mitchell L. Gordon, Michelle S. Lam, Joon Sung Park, Kayur Patel, Jeffrey T. Hancock, Tatsunori Hashimoto, Michael S. Bernstein:
Jury Learning: Integrating Dissenting Voices into Machine Learning Models. CoRR abs/2202.02950 (2022) - [i43]Christina A. Pan, Sahil Yakhmi, Tara P. Iyer, Evan Strasnick, Amy X. Zhang, Michael S. Bernstein:
Comparing the Perceived Legitimacy of Content Moderation Processes: Contractors, Algorithms, Expert Panels, and Digital Juries. CoRR abs/2202.06393 (2022) - [i42]Durim Morina, Michael S. Bernstein:
A Web-Scale Analysis of the Community Origins of Image Memes. CoRR abs/2204.05439 (2022) - [i41]Joon Sung Park, Lindsay Popowski, Carrie J. Cai, Meredith Ringel Morris, Percy Liang, Michael S. Bernstein:
Social Simulacra: Creating Populated Prototypes for Social Computing Systems. CoRR abs/2208.04024 (2022) - [i40]Joon Sung Park, Joseph Seering, Michael S. Bernstein:
Measuring the Prevalence of Anti-Social Behavior in Online Communities. CoRR abs/2208.13094 (2022) - [i39]Zixian Ma, Rose Wang, Li Fei-Fei, Michael S. Bernstein, Ranjay Krishna:
ELIGN: Expectation Alignment as a Multi-Agent Intrinsic Reward. CoRR abs/2210.04365 (2022) - [i38]Mina Lee, Megha Srivastava, Amelia Hardy, John Thickstun, Esin Durmus, Ashwin Paranjape, Ines Gerard-Ursin, Xiang Lisa Li, Faisal Ladhak, Frieda Rong, Rose E. Wang, Minae Kwon, Joon Sung Park, Hancheng Cao, Tony Lee, Rishi Bommasani, Michael S. Bernstein, Percy Liang:
Evaluating Human-Language Model Interaction. CoRR abs/2212.09746 (2022) - 2021
- [c106]Joon Sung Park, Michael S. Bernstein
, Robin N. Brewer, Ece Kamar, Meredith Ringel Morris:
Understanding the Representation and Representativeness of Age in AI Data Sets. AIES 2021: 834-842 - [c105]Xinlan Emily Hu, Mark E. Whiting, Michael S. Bernstein:
Can Online Juries Make Consistent, Repeatable Decisions? CHI 2021: 142:1-142:16 - [c104]Geza Kovacs, Zhengxuan Wu, Michael S. Bernstein:
Not Now, Ask Later: Users Weaken Their Behavior Change Regimen Over Time, But Expect To Re-Strengthen It Imminently. CHI 2021: 229:1-229:14 - [c103]Mitchell L. Gordon, Kaitlyn Zhou, Kayur Patel, Tatsunori Hashimoto, Michael S. Bernstein:
The Disagreement Deconvolution: Bringing Machine Learning Performance Metrics In Line With Reality. CHI 2021: 388:1-388:14 - [i37]Geza Kovacs, Zhengxuan Wu, Michael S. Bernstein:
Not Now, Ask Later: Users Weaken Their Behavior Change Regimen Over Time, But Expect To Re-Strengthen It Imminently. CoRR abs/2101.11743 (2021) - [i36]Joon Sung Park, Michael S. Bernstein, Robin N. Brewer, Ece Kamar, Meredith Ringel Morris:
Understanding the Representation and Representativeness of Age in AI Data Sets. CoRR abs/2103.09058 (2021) - [i35]Michael S. Bernstein, Margaret Levi, David Magnus, Betsy Rajala, Debra Satz, Charla Waeiss:
ESR: Ethics and Society Review of Artificial Intelligence Research. CoRR abs/2106.11521 (2021) - [i34]Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, Russ Altman, Simran Arora, Sydney von Arx, Michael S. Bernstein, Jeannette Bohg, Antoine Bosselut, Emma Brunskill, Erik Brynjolfsson, Shyamal Buch, Dallas Card, Rodrigo Castellon, Niladri S. Chatterji, Annie S. Chen, Kathleen Creel, Jared Quincy Davis, Dorottya Demszky, Chris Donahue, Moussa Doumbouya, Esin Durmus, Stefano Ermon, John Etchemendy, Kawin Ethayarajh, Li Fei-Fei, Chelsea Finn, Trevor Gale, Lauren Gillespie, Karan Goel, Noah D. Goodman, Shelby Grossman, Neel Guha, Tatsunori Hashimoto, Peter Henderson, John Hewitt, Daniel E. Ho, Jenny Hong, Kyle Hsu, Jing Huang, Thomas Icard, Saahil Jain, Dan Jurafsky, Pratyusha Kalluri, Siddharth Karamcheti, Geoff Keeling, Fereshte Khani, Omar Khattab, Pang Wei Koh, Mark S. Krass, Ranjay Krishna, Rohith Kuditipudi, et al.:
On the Opportunities and Risks of Foundation Models. CoRR abs/2108.07258 (2021) - [i33]Ranjay Krishna, Mitchell L. Gordon, Li Fei-Fei, Michael S. Bernstein:
Visual Intelligence through Human Interaction. CoRR abs/2111.06913 (2021) - [i32]Jacob Ritchie, Mark E. Whiting, Sorathan Chaturapruek, J. D. Zamfirescu-Pereira, Madhav V. Marathe, Achla Marathe, Stephen G. Eubank, Michael S. Bernstein:
Crowdsourcing County-Level Data on Early COVID-19 Policy Interventions in the United States: Technical Report. CoRR abs/2112.08279 (2021) - 2020
- [j23]Sharon Zhou, Alexandra Luccioni, Gautier Cosne, Michael S. Bernstein, Yoshua Bengio:
Establishing an evaluation metric to quantify climate change image realism. Mach. Learn. Sci. Technol. 1(2): 25005 (2020) - [j22]Mark E. Whiting, Irena Gao, Michelle Xing, N'godjigui Junior Diarrassouba, Tonya Nguyen, Michael S. Bernstein:
Parallel Worlds: Repeated Initializations of the Same Team to Improve Team Viability. Proc. ACM Hum. Comput. Interact. 4(CSCW): 067:1-067:22 (2020) - [j21]Pranav Khadpe, Ranjay Krishna, Li Fei-Fei, Jeffrey T. Hancock, Michael S. Bernstein:
Conceptual Metaphors Impact Perceptions of Human-AI Collaboration. Proc. ACM Hum. Comput. Interact. 4(CSCW2): 163:1-163:26 (2020) - [j20]Hancheng Cao, Vivian Yang, Victor Chen, Yu Jin Lee, Lydia Stone, N'godjigui Junior Diarrassouba, Mark E. Whiting, Michael S. Bernstein:
My Team Will Go On: Differentiating High and Low Viability Teams through Team Interaction. Proc. ACM Hum. Comput. Interact. 4(CSCW3): 1-27 (2020) - [c102]Michael S. Bernstein, Irene Greif, Wendy E. Mackay, Hiroshi Ishii, Jonathan Grudin, Karrie Karahalios, Meredith Ringel Morris, Aniket Kittur, Jaime Teevan, Amy X. Zhang, Niloufar Salehi:
UIST+CSCW: A Celebration of Systems Research in Collaborative and Social Computing. UIST 2020: 1-3 - [c101]Amy X. Zhang, Grant Hugh, Michael S. Bernstein:
PolicyKit: Building Governance in Online Communities. UIST 2020: 365-378 - [i31]Pranav Khadpe, Ranjay Krishna, Li Fei-Fei, Jeffrey T. Hancock, Michael S. Bernstein:
Conceptual Metaphors Impact Perceptions of Human-AI Collaboration. CoRR abs/2008.02311 (2020) - [i30]Amy X. Zhang, Grant Hugh, Michael S. Bernstein:
PolicyKit: Building Governance in Online Communities. CoRR abs/2008.04236 (2020) - [i29]Hancheng Cao, Vivian Yang, Victor Chen, Yu Jin Lee, Lydia Stone, N'godjigui Junior Diarrassouba, Mark E. Whiting, Michael S. Bernstein:
My Team Will Go On: Differentiating High and Low Viability Teams through Team Interaction. CoRR abs/2010.07292 (2020)
2010 – 2019
- 2019
- [j19]Mark E. Whiting, Allie Blaising, Chloe Barreau, Laura Fiuza, Nik Marda, Melissa A. Valentine, Michael S. Bernstein:
Did It Have To End This Way?: Understanding The Consistency of Team Fracture. Proc. ACM Hum. Comput. Interact. 3(CSCW): 209:1-209:23 (2019) - [c100]Geza Kovacs, Drew Mylander Gregory, Zilin Ma, Zhengxuan Wu, Golrokh Emami, Jacob Ray, Michael S. Bernstein:
Conservation of Procrastination: Do Productivity Interventions Save Time Or Just Redistribute It? CHI 2019: 330 - [c99]Ali Alkhatib, Michael S. Bernstein:
Street-Level Algorithms: A Theory at the Gaps Between Policy and Decisions. CHI 2019: 530 - [c98]Michelle S. Lam, Grace B. Young, Catherine Y. Xu, Ranjay Krishna, Michael S. Bernstein:
Eevee: Transforming Images by Bridging High-level Goals and Low-level Edit Operations. CHI Extended Abstracts 2019 - [c97]Ranjay Krishna, Michael S. Bernstein, Li Fei-Fei:
Information Maximizing Visual Question Generation. CVPR 2019: 2008-2018 - [c96]Junwon Park, Ranjay Krishna, Pranav Khadpe, Li Fei-Fei, Michael S. Bernstein:
AI-Based Request Augmentation to Increase Crowdsourcing Participation. HCOMP 2019: 115-124 - [c95]Mark E. Whiting, Grant Hugh, Michael S. Bernstein:
Fair Work: Crowd Work Minimum Wage with One Line of Code. HCOMP 2019: 197-206 - [c94]Ranjay Krishna, Vincent S. Chen, Paroma Varma, Michael S. Bernstein, Christopher Ré, Li Fei-Fei:
Scene Graph Prediction With Limited Labels. ICCV 2019: 2580-2590 - [c93]Apoorva Dornadula, Austin Narcomey, Ranjay Krishna, Michael S. Bernstein, Li Fei-Fei:
Visual Relationships as Functions: Enabling Few-Shot Scene Graph Prediction. ICCV Workshops 2019: 1730-1739 - [c92]Vincent S. Chen, Paroma Varma, Ranjay Krishna, Michael S. Bernstein, Christopher Ré, Li Fei-Fei:
Scene Graph Prediction with Limited Labels. ICCV Workshops 2019: 1772-1782 - [c91]Sharon Zhou, Mitchell L. Gordon, Ranjay Krishna, Austin Narcomey, Durim Morina, Michael S. Bernstein:
HYPE: Human-eYe Perceptual Evaluation of Generative Models. DGS@ICLR 2019 - [c90]Sharon Zhou, Mitchell L. Gordon, Ranjay Krishna, Austin Narcomey, Li Fei-Fei, Michael S. Bernstein:
HYPE: A Benchmark for Human eYe Perceptual Evaluation of Generative Models. NeurIPS 2019: 3444-3456 - [e2]François Guimbretière, Michael S. Bernstein, Katharina Reinecke:
Proceedings of the 32nd Annual ACM Symposium on User Interface Software and Technology, UIST 2019, New Orleans, LA, USA, October 20-23, 2019. ACM 2019, ISBN 978-1-4503-6816-2 [contents] - [e1]François Guimbretière, Michael S. Bernstein, Katharina Reinecke:
Adjunct Proceedings of the 32nd Annual ACM Symposium on User Interface Software and Technology, UIST 2019, New Orleans, LA, USA, October 20-23, 2019. ACM 2019, ISBN 978-1-4503-6817-9 [contents] - [i28]Ranjay Krishna, Michael S. Bernstein, Li Fei-Fei:
Information Maximizing Visual Question Generation. CoRR abs/1903.11207 (2019) - [i27]Sharon Zhou, Mitchell L. Gordon, Ranjay Krishna, Austin Narcomey, Durim Morina, Michael S. Bernstein:
HYPE: Human eYe Perceptual Evaluation of Generative Models. CoRR abs/1904.01121 (2019) - [i26]Snehalkumar (Neil) S. Gaikwad, Durim Morina, Adam Ginzberg, Catherine A. Mullings, Shirish Goyal, Dilrukshi Gamage, Christopher Diemert, Mathias Burton, Sharon Zhou, Mark E. Whiting, Karolina R. Ziulkoski, Alipta Ballav, Aaron Gilbee, Senadhipathige S. Niranga, Vibhor Sehgal, Jasmine Lin, Leonardy Kristianto, Angela Richmond-Fuller, Jeff Regino, Nalin Chhibber, Dinesh Majeti, Sachin Sharma, Kamila Mananova, Dinesh Dhakal, William Dai, Victoria Purynova, Samarth Sandeep, Varshine Chandrakanthan, Tejas Sarma, Sekandar Matin, Ahmed Nasser, Rohit Nistala, Alexander Stolzoff, Kristy Milland, Vinayak Mathur, Rajan Vaish, Michael S. Bernstein:
Boomerang: Rebounding the Consequences of Reputation Feedback on Crowdsourcing Platforms. CoRR abs/1904.06722 (2019) - [i25]Vincent S. Chen, Paroma Varma, Ranjay Krishna, Michael S. Bernstein, Christopher Ré, Li Fei-Fei:
Scene Graph Prediction with Limited Labels. CoRR abs/1904.11622 (2019) - [i24]Apoorva Dornadula, Austin Narcomey, Ranjay Krishna, Michael S. Bernstein, Li Fei-Fei:
Visual Relationships as Functions: Enabling Few-Shot Scene Graph Prediction. CoRR abs/1906.04876 (2019) - [i23]Sharon Zhou, Alexandra Luccioni, Gautier Cosne, Michael S. Bernstein, Yoshua Bengio:
Establishing an Evaluation Metric to Quantify Climate Change Image Realism. CoRR abs/1910.10143 (2019) - [i22]Khaled Jedoui, Ranjay Krishna, Michael S. Bernstein, Li Fei-Fei:
Deep Bayesian Active Learning for Multiple Correct Outputs. CoRR abs/1912.01119 (2019) - 2018
- [j18]Geza Kovacs, Zhengxuan Wu, Michael S. Bernstein:
Rotating Online Behavior Change Interventions Increases Effectiveness But Also Increases Attrition. Proc. ACM Hum. Comput. Interact. 2(CSCW): 95:1-95:25 (2018) - [j17]Niloufar Salehi, Michael S. Bernstein:
Hive: Collective Design Through Network Rotation. Proc. ACM Hum. Comput. Interact. 2(CSCW): 151:1-151:26 (2018) - [j16]Niloufar Salehi, Michael S. Bernstein:
Ink: Increasing Worker Agency to Reduce Friction in Hiring Crowd Workers. ACM Trans. Comput. Hum. Interact. 25(2): 10:1-10:17 (2018) - [c89]Sharon Zhou, Melissa A. Valentine, Michael S. Bernstein:
In Search of the Dream Team: Temporally Constrained Multi-Armed Bandits for Identifying Effective Team Structures. CHI 2018: 108 - [c88]Ethan Fast, Binbin Chen, Julia Mendelsohn, Jonathan Bassen, Michael S. Bernstein:
Iris: A Conversational Agent for Complex Tasks. CHI 2018: 473 - [c87]Ranjay Krishna, Ines Chami, Michael S. Bernstein, Li Fei-Fei:
Referring Relationships. CVPR 2018: 6867-6876 - [c86]Sharon Zhou, Tong Mu, Karan Goel, Michael S. Bernstein, Emma Brunskill:
Shared Autonomy for an Interactive AI System. UIST (Adjunct Volume) 2018: 20-22 - [c85]Ranjay Krishna, Donsuk Lee, Li Fei-Fei, Michael S. Bernstein:
Engagement Learning: Expanding Visual Knowledge by Engaging Online Participants. UIST (Adjunct Volume) 2018: 87-89 - [i21]Ranjay Krishna, Ines Chami, Michael S. Bernstein, Li Fei-Fei:
Referring Relationships. CoRR abs/1803.10362 (2018) - 2017
- [j15]Ranjay Krishna, Yuke Zhu, Oliver Groth, Justin Johnson, Kenji Hata, Joshua Kravitz, Stephanie Chen, Yannis Kalantidis, Li-Jia Li, David A. Shamma, Michael S. Bernstein, Li Fei-Fei:
Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations. Int. J. Comput. Vis. 123(1): 32-73 (2017) - [j14]Daniela Retelny, Michael S. Bernstein, Melissa A. Valentine:
No Workflow Can Ever Be Enough: How Crowdsourcing Workflows Constrain Complex Work. Proc. ACM Hum. Comput. Interact. 1(CSCW): 89:1-89:23 (2017) - [c84]Nicolas Kokkalis, Chengdiao Fan, Johannes Roith, Michael S. Bernstein, Scott R. Klemmer:
MyriadHub: Efficiently Scaling Personalized Email Conversations with Valet Crowdsourcing. CHI 2017: 73-84 - [c83]Katherine M. Cheng, Veronica J. Lin, Kush Nijhawan, Ashley Westhem, Michael S. Bernstein:
Apps with Benefits: Using Benefits and Burdens to Predict Mobile App Usage. CHI Extended Abstracts 2017: 2452-2458 - [c82]Melissa A. Valentine, Daniela Retelny, Alexandra To, Negar Rahmati, Tulsee Doshi, Michael S. Bernstein:
Flash Organizations: Crowdsourcing Complex Work by Structuring Crowds As Organizations. CHI 2017: 3523-3537 - [c81]Ali Alkhatib, Michael S. Bernstein, Margaret Levi:
Examining Crowd Work and Gig Work Through The Historical Lens of Piecework. CHI 2017: 4599-4616 - [c80]Snehalkumar (Neil) S. Gaikwad, Mark E. Whiting, Dilrukshi Gamage, Catherine A. Mullings, Dinesh Majeti, Shirish Goyal, Aaron Gilbee, Nalin Chhibber, Adam Ginzberg, Angela Richmond-Fuller, Sekandar Matin, Vibhor Sehgal, Tejas Seshadri Sarma, Ahmed Nasser, Alipta Ballav, Jeff Regino, Sharon Zhou, Kamila Mananova, Preethi Srinivas, Karolina R. Ziulkoski, Dinesh Dhakal, Alexander Stolzoff, Senadhipathige S. Niranga, Mohamed Hashim Salih, Akshansh Sinha, Rajan Vaish, Michael S. Bernstein:
The Daemo Crowdsourcing Marketplace. CSCW Companion 2017: 1-4 - [c79]Joy Kim, Sarah Sterman, Allegra Argent Beal Cohen, Michael S. Bernstein:
Mechanical Novel: Crowdsourcing Complex Work through Reflection and Revision. CSCW 2017: 233-245 - [c78]Joy Kim, Maneesh Agrawala, Michael S. Bernstein:
Mosaic: Designing Online Creative Communities for Sharing Works-in-Progress. CSCW 2017: 246-258 - [c77]Kenji Hata, Ranjay Krishna, Li Fei-Fei, Michael S. Bernstein:
A Glimpse Far into the Future: Understanding Long-term Crowd Worker Quality. CSCW 2017: 889-901 - [c76]Justin Cheng, Michael S. Bernstein, Cristian Danescu-Niculescu-Mizil, Jure Leskovec:
Anyone Can Become a Troll: Causes of Trolling Behavior in Online Discussions. CSCW 2017: 1217-1230 - [c75]Niloufar Salehi, Andrew McCabe, Melissa A. Valentine, Michael S. Bernstein:
Huddler: Convening Stable and Familiar Crowd Teams Despite Unpredictable Availability. CSCW 2017: 1700-1713 - [c74]Mark E. Whiting, Dilrukshi Gamage, Snehalkumar (Neil) S. Gaikwad, Aaron Gilbee, Shirish Goyal, Alipta Ballav, Dinesh Majeti, Nalin Chhibber, Angela Richmond-Fuller, Freddie Vargus, Tejas Seshadri Sarma, Varshine Chandrakanthan, Teógenes Moura, Mohamed Hashim Salih, Gabriel Bayomi Tinoco Kalejaiye, Adam Ginzberg, Catherine A. Mullings, Yoni Dayan, Kristy Milland, Henrique Orefice, Jeff Regino, Sayna Parsi, Kunz Mainali, Vibhor Sehgal, Sekandar Matin, Akshansh Sinha, Rajan Vaish, Michael S. Bernstein:
Crowd Guilds: Worker-led Reputation and Feedback on Crowdsourcing Platforms. CSCW 2017: 1902-1913 - [c73]Nicolas Kokkalis, Chengdiao Fan, Thomas Breier, Michael S. Bernstein:
Founder Center: Enabling Access to Collective Social Capital. CSCW 2017: 2010-2022 - [c72]Zhiyuan Lin, Niloufar Salehi, Bowen Yao, Yiqi Chen, Michael S. Bernstein:
Better When It Was Smaller? Community Content and Behavior After Massive Growth. ICWSM 2017: 132-141 - [c71]Ethan Fast, Binbin Chen, Michael S. Bernstein:
Lexicons on Demand: Neural Word Embeddings for Large-Scale Text Analysis. IJCAI 2017: 4836-4840 - [c70]Rajan Vaish, Snehalkumar (Neil) S. Gaikwad, Geza Kovacs, Andreas Veit, Ranjay Krishna, Imanol Arrieta Ibarra, Camelia Simoiu, Michael J. Wilber, Serge J. Belongie, Sharad Goel, James Davis, Michael S. Bernstein:
Crowd Research: Open and Scalable University Laboratories. UIST 2017: 829-843 - [i20]Justin Cheng, Michael S. Bernstein, Cristian Danescu-Niculescu-Mizil, Jure Leskovec:
Anyone Can Become a Troll: Causes of Trolling Behavior in Online Discussions. CoRR abs/1702.01119 (2017) - [i19]Ethan Fast, Binbin Chen, Julia Mendelsohn, Jonathan Bassen, Michael S. Bernstein:
Iris: A Conversational Agent for Complex Tasks. CoRR abs/1707.05015 (2017) - [i18]Snehalkumar (Neil) S. Gaikwad, Nalin Chhibber, Vibhor Sehgal, Alipta Ballav, Catherine A. Mullings, Ahmed Nasser, Angela Richmond-Fuller, Aaron Gilbee, Dilrukshi Gamage, Mark E. Whiting, Sharon Zhou, Sekandar Matin, Senadhipathige S. Niranga, Shirish Goyal, Dinesh Majeti, Preethi Srinivas, Adam Ginzberg, Kamila Mananova, Karolina R. Ziulkoski, Jeff Regino, Tejas Sarma, Akshansh Sinha, Abhratanu Paul, Christopher Diemert, Mahesh Murag, William Dai, Manoj Pandey, Rajan Vaish, Michael S. Bernstein:
Prototype Tasks: Improving Crowdsourcing Results through Rapid, Iterative Task Design. CoRR abs/1707.05645 (2017) - 2016
- [c69]Ethan Fast, William McGrath, Pranav Rajpurkar, Michael S. Bernstein:
Augur: Mining Human Behaviors from Fiction to Power Interactive Systems. CHI 2016: 237-247 - [c68]Ryo Suzuki, Niloufar Salehi, Michelle S. Lam, Juan C. Marroquin, Michael S. Bernstein:
Atelier: Repurposing Expert Crowdsourcing Tasks as Micro-internships. CHI 2016: 2645-2656 - [c67]Danaë Metaxa-Kakavouli, Gili Rusak, Jaime Teevan, Michael S. Bernstein:
The Web Is Flat: The Inflation of Uncommon Experiences Online. CHI Extended Abstracts 2016: 2893-2899 - [c66]Ranjay A. Krishna, Kenji Hata, Stephanie Chen, Joshua Kravitz, David A. Shamma, Li Fei-Fei, Michael S. Bernstein:
Embracing Error to Enable Rapid Crowdsourcing. CHI 2016: 3167-3179 - [c65]Jaime Teevan, Shamsi T. Iqbal, Carrie J. Cai, Jeffrey P. Bigham, Michael S. Bernstein, Elizabeth M. Gerber:
Productivity Decomposed: Getting Big Things Done with Little Microtasks. CHI Extended Abstracts 2016: 3500-3507 - [c64]Kazushi Ikeda, Michael S. Bernstein:
Pay It Backward: Per-Task Payments on Crowdsourcing Platforms Reduce Productivity. CHI 2016: 4111-4121 - [c63]Ethan Fast, Binbin Chen, Michael S. Bernstein:
Empath: Understanding Topic Signals in Large-Scale Text. CHI 2016: 4647-4657 - [c62]Yuke Zhu, Oliver Groth, Michael S. Bernstein, Li Fei-Fei:
Visual7W: Grounded Question Answering in Images. CVPR 2016: 4995-5004 - [c61]Cewu Lu, Ranjay Krishna, Michael S. Bernstein, Li Fei-Fei:
Visual Relationship Detection with Language Priors. ECCV (1) 2016: 852-869 - [c60]Ethan Fast, Tina Vachovsky, Michael S. Bernstein:
Shirtless and Dangerous: Quantifying Linguistic Signals of Gender Bias in an Online Fiction Writing Community. ICWSM 2016: 112-120 - [c59]Ethan Fast, Michael S. Bernstein:
Meta: Enabling Programming Languages to Learn from the Crowd. UIST 2016: 259-270 - [c58]Snehalkumar (Neil) S. Gaikwad, Durim Morina, Adam Ginzberg, Catherine A. Mullings, Shirish Goyal, Dilrukshi Gamage, Christopher Diemert, Mathias Burton, Sharon Zhou, Mark E. Whiting, Karolina R. Ziulkoski, Alipta Ballav, Aaron Gilbee, Senadhipathige S. Niranga, Vibhor Sehgal, Jasmine Lin, Leonardy Kristianto, Angela Richmond-Fuller, Jeff Regino, Nalin Chhibber, Dinesh Majeti, Sachin Sharma, Kamila Mananova, Dinesh Dhakal, William Dai, Victoria Purynova, Samarth Sandeep, Varshine Chandrakanthan, Tejas Sarma, Sekandar Matin, Ahmed Nasser, Rohit Nistala, Alexander Stolzoff, Kristy Milland, Vinayak Mathur, Rajan Vaish, Michael S. Bernstein:
Boomerang: Rebounding the Consequences of Reputation Feedback on Crowdsourcing Platforms. UIST 2016: 625-637 - [i17]Ranjay Krishna, Kenji Hata, Stephanie Chen, Joshua Kravitz, David A. Shamma, Li Fei-Fei, Michael S. Bernstein:
Embracing Error to Enable Rapid Crowdsourcing. CoRR abs/1602.04506 (2016) - [i16]Ryo Suzuki, Niloufar Salehi, Michelle S. Lam, Juan C. Marroquin, Michael S. Bernstein:
Atelier: Repurposing Expert Crowdsourcing Tasks as Micro-internships. CoRR abs/1602.06634 (2016) - [i15]Ethan Fast, William McGrath, Pranav Rajpurkar, Michael S. Bernstein:
Augur: Mining Human Behaviors from Fiction to Power Interactive Systems. CoRR abs/1602.06977 (2016) - [i14]Ethan Fast, Binbin Chen, Michael S. Bernstein:
Empath: Understanding Topic Signals in Large-Scale Text. CoRR abs/1602.06979 (2016) - [i13]Ranjay Krishna, Yuke Zhu, Oliver Groth, Justin Johnson, Kenji Hata, Joshua Kravitz, Stephanie Chen, Yannis Kalantidis, Li-Jia Li, David A. Shamma, Michael S. Bernstein, Li Fei-Fei:
Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations. CoRR abs/1602.07332 (2016) - [i12]Ethan Fast, Tina Vachovsky, Michael S. Bernstein:
Shirtless and Dangerous: Quantifying Linguistic Signals of Gender Bias in an Online Fiction Writing Community. CoRR abs/1603.08832 (2016) - [i11]Cewu Lu, Ranjay Krishna, Michael S. Bernstein, Li Fei-Fei:
Visual Relationship Detection with Language Priors. CoRR abs/1608.00187 (2016) - [i10]Kenji Hata, Ranjay Krishna, Li Fei-Fei, Michael S. Bernstein:
A Glimpse Far into the Future: Understanding Long-term Crowd Worker Accuracy. CoRR abs/1609.04855 (2016) - [i9]Niloufar Salehi, Andrew McCabe, Melissa A. Valentine, Michael S. Bernstein:
Huddler: Convening Stable and Familiar Crowd Teams Despite Unpredictable Availability. CoRR abs/1610.08216 (2016) - [i8]Mark E. Whiting, Dilrukshi Gamage, Snehalkumar (Neil) S. Gaikwad, Aaron Gilbee, Shirish Goyal, Alipta Ballav, Dinesh Majeti, Nalin Chhibber, Angela Richmond-Fuller, Freddie Vargus, Tejas Seshadri Sarma, Varshine Chandrakanthan, Teógenes Moura, Mohamed Hashim Salih, Gabriel Bayomi Tinoco Kalejaiye, Adam Ginzberg, Catherine A. Mullings, Yoni Dayan, Kristy Milland, Henrique Orefice, Jeff Regino, Sayna Parsi, Kunz Mainali, Vibhor Sehgal, Sekandar Matin, Akshansh Sinha, Rajan Vaish, Michael S. Bernstein:
Crowd Guilds: Worker-led Reputation and Feedback on Crowdsourcing Platforms. CoRR abs/1611.01572 (2016) - [i7]Joy Kim, Maneesh Agrawala, Michael S. Bernstein:
Mosaic: Designing Online Creative Communities for Sharing Works-in-Progress. CoRR abs/1611.02666 (2016) - [i6]Joy Kim, Sarah Sterman, Allegra Argent Beal Cohen, Michael S. Bernstein:
Mechanical Novel: Crowdsourcing Complex Work through Reflection and Revision. CoRR abs/1611.02682 (2016) - 2015
- [j13]Michael S. Bernstein, Greg Little, Robert C. Miller, Björn Hartmann, Mark S. Ackerman, David R. Karger, David Crowell, Katrina Panovich:
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ImageNet Large Scale Visual Recognition Challenge. Int. J. Comput. Vis. 115(3): 211-252 (2015) - [c57]Joy Kim, Avi Bagla, Michael S. Bernstein:
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