Vikram V. Ramaswamy

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 14

Top Topics

Perceptual Information

Benchmark Datasets

Visual Attributes

Top Venues

Publications

Nicole Meister, Dora Zhao, Angelina Wang, Vikram V. Ramaswamy, Ruth Fong, Olga Russakovsky
Gender Artifacts in Visual Datasets. ICCV (2023)
Vikram V. Ramaswamy, Sing Yu Lin, Dora Zhao, Aaron B. Adcock, Laurens van der Maaten, Deepti Ghadiyaram, Olga Russakovsky
Beyond web-scraping: Crowd-sourcing a geographically diverse image dataset. CoRR (2023)
Vikram V. Ramaswamy, Sunnie S. Y. Kim, Ruth Fong, Olga Russakovsky
UFO: A unified method for controlling Understandability and Faithfulness Objectives in concept-based explanations for CNNs. CoRR (2023)
Vikram V. Ramaswamy, Sunnie S. Y. Kim, Ruth Fong, Olga Russakovsky
Overlooked Factors in Concept-Based Explanations: Dataset Choice, Concept Learnability, and Human Capability. CVPR (2023)
Vikram V. Ramaswamy, Sing Yu Lin, Dora Zhao, Aaron Adcock, Laurens van der Maaten, Deepti Ghadiyaram, Olga Russakovsky
GeoDE: a Geographically Diverse Evaluation Dataset for Object Recognition. NeurIPS (2023)
Angelina Wang, Vikram V. Ramaswamy, Olga Russakovsky
Towards Intersectionality in Machine Learning: Including More Identities, Handling Underrepresentation, and Performing Evaluation. CoRR (2022)
Angelina Wang, Vikram V. Ramaswamy, Olga Russakovsky
Towards Intersectionality in Machine Learning: Including More Identities, Handling Underrepresentation, and Performing Evaluation. FAccT (2022)
Vikram V. Ramaswamy, Sunnie S. Y. Kim, Nicole Meister, Ruth Fong, Olga Russakovsky
ELUDE: Generating interpretable explanations via a decomposition into labelled and unlabelled features. CoRR (2022)
Nicole Meister, Dora Zhao, Angelina Wang, Vikram V. Ramaswamy, Ruth Fong, Olga Russakovsky
Gender Artifacts in Visual Datasets. CoRR (2022)
Sunnie S. Y. Kim, Nicole Meister, Vikram V. Ramaswamy, Ruth Fong, Olga Russakovsky
HIVE: Evaluating the Human Interpretability of Visual Explanations. ECCV (12) (2022)
Vikram V. Ramaswamy, Sunnie S. Y. Kim, Ruth Fong, Olga Russakovsky
Overlooked factors in concept-based explanations: Dataset choice, concept salience, and human capability. CoRR (2022)
Vikram V. Ramaswamy, Sunnie S. Y. Kim, Olga Russakovsky
Fair Attribute Classification Through Latent Space De-Biasing. CVPR (2021)
Sunnie S. Y. Kim, Nicole Meister, Vikram V. Ramaswamy, Ruth Fong, Olga Russakovsky
HIVE: Evaluating the Human Interpretability of Visual Explanations. CoRR (2021)
Vikram V. Ramaswamy, Sunnie S. Y. Kim, Olga Russakovsky
Fair Attribute Classification through Latent Space De-biasing. CoRR (2020)