Vedantam, Ramakrishna

15 publications

CVPR 2025 Emphasizing Discriminative Features for Dataset Distillation in Complex Scenarios Kai Wang, Zekai Li, Zhi-Qi Cheng, Samir Khaki, Ahmad Sajedi, Ramakrishna Vedantam, Konstantinos N Plataniotis, Alexander Hauptmann, Yang You

CVPR 2023 Improving Selective Visual Question Answering by Learning from Your Peers Corentin Dancette, Spencer Whitehead, Rishabh Maheshwary, Ramakrishna Vedantam, Stefan Scherer, Xinlei Chen, Matthieu Cord, Marcus Rohrbach

ICML 2022 COAT: Measuring Object Compositionality in Emergent Representations Sirui Xie, Ari S Morcos, Song-Chun Zhu, Ramakrishna Vedantam

NeurIPS 2021 An Empirical Investigation of Domain Generalization with Empirical Risk Minimizers Ramakrishna Vedantam, David Lopez-Paz, David J Schwab

ICML 2021 CURI: A Benchmark for Productive Concept Learning Under Uncertainty Ramakrishna Vedantam, Arthur Szlam, Maximillian Nickel, Ari Morcos, Brenden M Lake

IJCAI 2020 IR-VIC: Unsupervised Discovery of Sub-Goals for Transfer in RL Nirbhay Modhe, Prithvijit Chattopadhyay, Mohit Sharma, Abhishek Das, Devi Parikh, Dhruv Batra, Ramakrishna Vedantam

NeurIPS 2020 Learning Optimal Representations with the Decodable Information Bottleneck Yann Dubois, Douwe Kiela, David J Schwab, Ramakrishna Vedantam

ICML 2019 Probabilistic Neural Symbolic Models for Interpretable Visual Question Answering Ramakrishna Vedantam, Karan Desai, Stefan Lee, Marcus Rohrbach, Dhruv Batra, Devi Parikh

ICLR 2018 Generative Models of Visually Grounded Imagination Ramakrishna Vedantam, Ian Fischer, Jonathan Huang, Kevin Murphy

CVPR 2017 Context-Aware Captions from Context-Agnostic Supervision Ramakrishna Vedantam, Samy Bengio, Kevin Murphy, Devi Parikh, Gal Chechik

CVPR 2017 Counting Everyday Objects in Everyday Scenes Prithvijit Chattopadhyay, Ramakrishna Vedantam, Ramprasaath R. Selvaraju, Dhruv Batra, Devi Parikh

ICCV 2017 Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization Ramprasaath R. Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh, Dhruv Batra

CVPR 2016 Visual Word2Vec (vis-W2v): Learning Visually Grounded Word Embeddings Using Abstract Scenes Satwik Kottur, Ramakrishna Vedantam, Jose M. F. Moura, Devi Parikh

CVPR 2015 CIDEr: Consensus-Based Image Description Evaluation Ramakrishna Vedantam, C. Lawrence Zitnick, Devi Parikh

ICCV 2015 Learning Common Sense Through Visual Abstraction Ramakrishna Vedantam, Xiao Lin, Tanmay Batra, C. Lawrence Zitnick, Devi Parikh