Ramakrishna Vedantam
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
15
Venues
6
Active years
2015–2025
Best venue rank
A*
Where they publish
Papers
15 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CVPR | 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 |
| 2023 | CVPR | 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 |
| 2023 | ICLR | Don't forget the nullspace! Nullspace occupancy as a mechanism for out of distribution failure. | Daksh Idnani, Vivek Madan, Naman Goyal, David J. Schwab, Ramakrishna Vedantam |
| 2022 | ICML | COAT: Measuring Object Compositionality in Emergent Representations. | Sirui Xie, Ari S. Morcos, Song-Chun Zhu, Ramakrishna Vedantam |
| 2021 | ICML | CURI: A Benchmark for Productive Concept Learning Under Uncertainty. | Ramakrishna Vedantam, Arthur Szlam, Maximilian Nickel, Ari Morcos, Brenden M. Lake |
| 2020 | IJCAI | 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 |
| 2019 | ICML | Probabilistic Neural Symbolic Models for Interpretable Visual Question Answering. | Ramakrishna Vedantam, Karan Desai, Stefan Lee, Marcus Rohrbach, Dhruv Batra, Devi Parikh |
| 2018 | ICLR | Generative Models of Visually Grounded Imagination. | Ramakrishna Vedantam, Ian Fischer, Jonathan Huang, Kevin Murphy |
| 2017 | CVPR | Counting Everyday Objects in Everyday Scenes. | Prithvijit Chattopadhyay, Ramakrishna Vedantam, Ramprasaath R. Selvaraju, Dhruv Batra, Devi Parikh |
| 2017 | CVPR | Context-Aware Captions from Context-Agnostic Supervision. | Ramakrishna Vedantam, Samy Bengio, Kevin Murphy, Devi Parikh, Gal Chechik |
| 2017 | EMNLP | Sound-Word2Vec: Learning Word Representations Grounded in Sounds. | Ashwin K. Vijayakumar, Ramakrishna Vedantam, Devi Parikh |
| 2017 | ICCV | Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization. | Ramprasaath R. Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh, Dhruv Batra |
| 2016 | CVPR | VisualWord2Vec (Vis-W2V): Learning Visually Grounded Word Embeddings Using Abstract Scenes. | Satwik Kottur, Ramakrishna Vedantam, Jos M. F. Moura, Devi Parikh |
| 2015 | CVPR | CIDEr: Consensus-based image description evaluation. | Ramakrishna Vedantam, C. Lawrence Zitnick, Devi Parikh |
| 2015 | ICCV | Learning Common Sense through Visual Abstraction. | Ramakrishna Vedantam, Xiao Lin, Tanmay Batra, C. Lawrence Zitnick, Devi Parikh |