Personalized Benchmarking with the Ludwig Benchmarking Toolkit
Avanika Narayan, Piero Molino, Karan Goel, Willie Neiswanger, Christopher RéPublished in Under Review, 2021.
Publications
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.
Mandoline: Model Evaluation under Distribution Shift
Mayee Chen*, Karan Goel*, Nimit Sohoni*, Fait Poms, Kayvon Fatahalian and Christopher RéPublished in ICML, 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.
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.
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.
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, Samson Tan, Jason Wu, Stephan Zheng, Caiming Xiong, Mohit Bansal and Christopher RéPublished in arXiv, 2021.
Learning Procedural Abstractions and Evaluating Discrete Latent Temporal Structure
Karan Goel and Emma BrunskillPublished in ICLR, 2019.
PLOTS: Procedure Learning from Observations using Subtask Structure
Tong Mu, Karan Goel and Emma BrunskillPublished in AAMAS, 2019.
Learning Procedural Abstractions
Karan Goel and Emma BrunskillPublished in Infer2Control Workshop, NeurIPS, 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.
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.
Shared Autonomy for an Interactive AI System
Sharon Zhou, Tong Mu, Karan Goel, Michael Bernstein and Emma BrunskillPublished in UIST Posters, 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.
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.
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.
Sample Efficient Policy Search for Optimal Stopping Domains
Karan Goel, Christoph Dann and Emma BrunskillPublished in IJCAI & RLDM, 2017.
Octopus: A Framework for Cost-Quality-Time Optimization in Crowdsourcing
Karan Goel, Shreya Rajpal and MausamPublished in HCOMP, 2017.
POMDP-Based Worker Pool Selection for Crowdsourcing
Shreya Rajpal*, Karan Goel* and MausamPublished in ICML CrowdML Workshop, 2015.