Get our free extension to see links to code for papers anywhere online!

Add to Chrome

Add to Firefox

Picture for Olga Russakovsky

Olga Russakovsky

Overlooked factors in concept-based explanations: Dataset choice, concept salience, and human capability

Jul 20, 2022
Vikram V. Ramaswamy , Sunnie S. Y. Kim , Ruth Fong , Olga Russakovsky

Figure 1 for Overlooked factors in concept-based explanations: Dataset choice, concept salience, and human capability

Figure 2 for Overlooked factors in concept-based explanations: Dataset choice, concept salience, and human capability

Figure 3 for Overlooked factors in concept-based explanations: Dataset choice, concept salience, and human capability

Figure 4 for Overlooked factors in concept-based explanations: Dataset choice, concept salience, and human capability

Access Paper or Ask Questions

Remember the Past: Distilling Datasets into Addressable Memories for Neural Networks

Jun 06, 2022
Zhiwei Deng , Olga Russakovsky

Figure 1 for Remember the Past: Distilling Datasets into Addressable Memories for Neural Networks

Figure 2 for Remember the Past: Distilling Datasets into Addressable Memories for Neural Networks

Figure 3 for Remember the Past: Distilling Datasets into Addressable Memories for Neural Networks

Figure 4 for Remember the Past: Distilling Datasets into Addressable Memories for Neural Networks

Access Paper or Ask Questions

Towards Intersectionality in Machine Learning: Including More Identities, Handling Underrepresentation, and Performing Evaluation

May 10, 2022
Angelina Wang , Vikram V. Ramaswamy , Olga Russakovsky

Figure 1 for Towards Intersectionality in Machine Learning: Including More Identities, Handling Underrepresentation, and Performing Evaluation

Figure 2 for Towards Intersectionality in Machine Learning: Including More Identities, Handling Underrepresentation, and Performing Evaluation

Figure 3 for Towards Intersectionality in Machine Learning: Including More Identities, Handling Underrepresentation, and Performing Evaluation

Figure 4 for Towards Intersectionality in Machine Learning: Including More Identities, Handling Underrepresentation, and Performing Evaluation

* ACM Conference on Fairness, Accountability, and Transparency (FAccT) 2022

Access Paper or Ask Questions

CARETS: A Consistency And Robustness Evaluative Test Suite for VQA

Mar 15, 2022
Carlos E. Jimenez , Olga Russakovsky , Karthik Narasimhan

Figure 1 for CARETS: A Consistency And Robustness Evaluative Test Suite for VQA

Figure 2 for CARETS: A Consistency And Robustness Evaluative Test Suite for VQA

Figure 3 for CARETS: A Consistency And Robustness Evaluative Test Suite for VQA

Figure 4 for CARETS: A Consistency And Robustness Evaluative Test Suite for VQA

* ACL 2022

Access Paper or Ask Questions

Multi-query Video Retrieval

Jan 10, 2022
Zeyu Wang , Yu Wu , Karthik Narasimhan , Olga Russakovsky

Figure 1 for Multi-query Video Retrieval

Figure 2 for Multi-query Video Retrieval

Figure 3 for Multi-query Video Retrieval

Figure 4 for Multi-query Video Retrieval

Access Paper or Ask Questions

Understanding and Evaluating Racial Biases in Image Captioning

Jun 16, 2021
Dora Zhao , Angelina Wang , Olga Russakovsky

Figure 1 for Understanding and Evaluating Racial Biases in Image Captioning

Figure 2 for Understanding and Evaluating Racial Biases in Image Captioning

Figure 3 for Understanding and Evaluating Racial Biases in Image Captioning

Figure 4 for Understanding and Evaluating Racial Biases in Image Captioning

Access Paper or Ask Questions