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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
About me
About me
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Posts
Future Blog Post
Published:
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Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
publications
POMDP-Based Worker Pool Selection for Crowdsourcing
Shreya Rajpal*, Karan Goel* and MausamPublished in ICML CrowdML Workshop, 2015.
Octopus: A Framework for Cost-Quality-Time Optimization in Crowdsourcing
Karan Goel, Shreya Rajpal and MausamPublished in HCOMP, 2017.
Sample Efficient Policy Search for Optimal Stopping Domains
Karan Goel, Christoph Dann and Emma BrunskillPublished in IJCAI & RLDM, 2017.
Importance-Sampled Option Critic for More Sample-Efficient Reinforcement Learning
Karan Goel and Emma BrunskillPublished in Hierarchical Reinforcement Learning Workshop & Deep Reinforcement Learning Symposium, NeurIPS, 2017.
Optimal Hierarchical Policy Extraction from Noisy Imperfect Demonstrations
Karan Goel, Tong Mu and Emma BrunskillPublished in Hierarchical Reinforcement Learning Workshop & Deep Reinforcement Learning Symposium, NeurIPS, 2017.
Program2Tutor: Combining Automatic Curriculum Generation with Multi-Armed Bandits for Intelligent Tutoring Systems
Karan Goel, Tong Mu and Emma BrunskillPublished in Workshop on Teaching Machines, Humans and Robots, NeurIPS, 2017.
Shared Autonomy for an Interactive AI System
Sharon Zhou, Tong Mu, Karan Goel, Michael Bernstein and Emma BrunskillPublished in UIST Posters, 2017.
It’s just a matter of perspectives: Crowd Powered Consensus Organization of Corpora
Ayush Jain, Karan Goel, Joon Young-Seo, Andrew Kuznetsov, Aditya Parameswaran and Hari SundaramPublished in arXiv, 2018.
Automatic Curriculum Generation Applied to Teaching Novices a Short Bach Piano Segment
Tong Mu, Karan Goel, Jonathan Bragg and Emma BrunskillPublished in Live Demonstration at NeurIPS, 2018.
Learning Procedural Abstractions
Karan Goel and Emma BrunskillPublished in Infer2Control Workshop, NeurIPS, 2018.
PLOTS: Procedure Learning from Observations using Subtask Structure
Tong Mu, Karan Goel and Emma BrunskillPublished in AAMAS, 2019.
Learning Procedural Abstractions and Evaluating Discrete Latent Temporal Structure
Karan Goel and Emma BrunskillPublished in ICLR, 2019.
Robustness Gym: Unifying the NLP Evaluation Landscape
Karan Goel, Nazneen Rajani, Jesse Vig, Samson Tan, Jason Wu, Stephan Zheng, Caiming Xiong, Mohit Bansal and Christopher RéPublished in arXiv, 2021.
Model Patching: Closing the Subgroup Performance Gap with Data Augmentation
Karan Goel*, Albert Gu*, Sharon Li and Christopher RéPublished in ICLR, 2021.
Robustness Gym: Unifying the NLP Evaluation Landscape
Karan Goel, Nazneen Rajani, Jesse Vig, Zachary Taschdjian, Mohit Bansal and Christopher RéPublished in NAACL Demo Track, 2021.
Goodwill Hunting: Analyzing and Repurposing Off-the-Shelf Named Entity Linking Systems
Karan Goel, Laurel Orr, Nazneen Rajani, Jesse Vig and Christopher RéPublished in NAACL Industry Track, 2021.
SummVis: Interactive Visual Analysis of Models, Data, and Evaluation for Text Summarization
Jesse Vig, Wojciech Kryscinski, Karan Goel, Nazneen RajaniPublished in ACL Demo Track, 2021.
Mandoline: Model Evaluation under Distribution Shift
Mayee Chen*, Karan Goel*, Nimit Sohoni*, Fait Poms, Kayvon Fatahalian and Christopher RéPublished in ICML, 2021.
Combining Recurrent, Convolutional, and Continuous-time Models with Structured Learned Linear State-Space Layers
Albert Gu, Isys Johnson, Karan Goel, Khaled Kamal Saab, Tri Dao, Atri Rudra, Christopher RéPublished in Under Review, 2021.
Personalized Benchmarking with the Ludwig Benchmarking Toolkit
Avanika Narayan, Piero Molino, Karan Goel, Willie Neiswanger, Christopher RéPublished in Under Review, 2021.
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014.
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015.
This is a description of a teaching experience. You can use markdown like any other post.