Ramakrishna Vedantam

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 30

Top Topics

Question Answering

Image Description

Reinforcement Learning

Information Bottleneck

Top Venues

Publications

Polina Kirichenko, Mark Ibrahim, Randall Balestriero, Diane Bouchacourt, Ramakrishna Vedantam, Hamed Firooz, Andrew Gordon Wilson
Understanding the Detrimental Class-level Effects of Data Augmentation. CoRR (2024)
Daksh Idnani, Vivek Madan, Naman Goyal, David J. Schwab, Ramakrishna Vedantam
Don't forget the nullspace! Nullspace occupancy as a mechanism for out of distribution failure. ICLR (2023)
Corentin Dancette, Spencer Whitehead, Rishabh Maheshwary, Ramakrishna Vedantam, Stefan Scherer, Xinlei Chen, Matthieu Cord, Marcus Rohrbach
Improving Selective Visual Question Answering by Learning from Your Peers. CoRR (2023)
Corentin Dancette, Spencer Whitehead, Rishabh Maheshwary, Ramakrishna Vedantam, Stefan Scherer, Xinlei Chen, Matthieu Cord, Marcus Rohrbach
Improving Selective Visual Question Answering by Learning from Your Peers. CVPR (2023)
Yunzhen Feng, Ramakrishna Vedantam, Julia Kempe
Embarassingly Simple Dataset Distillation. CoRR (2023)
Karan Desai, Maximilian Nickel, Tanmay Rajpurohit, Justin Johnson, Ramakrishna Vedantam
Hyperbolic Image-Text Representations. CoRR (2023)
Sirui Xie, Ari S. Morcos, Song-Chun Zhu, Ramakrishna Vedantam
COAT: Measuring Object Compositionality in Emergent Representations. ICML (2022)
Ramakrishna Vedantam, David Lopez-Paz, David J. Schwab
An Empirical Investigation of Domain Generalization with Empirical Risk Minimizers. NeurIPS (2021)
Ramakrishna Vedantam, Arthur Szlam, Maximilian Nickel, Ari Morcos, Brenden M. Lake
CURI: A Benchmark for Productive Concept Learning Under Uncertainty. ICML (2021)
Yann Dubois, Douwe Kiela, David J. Schwab, Ramakrishna Vedantam
Learning Optimal Representations with the Decodable Information Bottleneck. NeurIPS (2020)
Ramprasaath R. Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh, Dhruv Batra
Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization. Int. J. Comput. Vis. 128 (2) (2020)
Yann Dubois, Douwe Kiela, David J. Schwab, Ramakrishna Vedantam
Learning Optimal Representations with the Decodable Information Bottleneck. CoRR (2020)
Nirbhay Modhe, Prithvijit Chattopadhyay, Mohit Sharma, Abhishek Das, Devi Parikh, Dhruv Batra, Ramakrishna Vedantam
IR-VIC: Unsupervised Discovery of Sub-goals for Transfer in RL. IJCAI (2020)
Ramakrishna Vedantam, Arthur Szlam, Maximilian Nickel, Ari Morcos, Brenden M. Lake
CURI: A Benchmark for Productive Concept Learning Under Uncertainty. CoRR (2020)
Ramakrishna Vedantam, Karan Desai, Stefan Lee, Marcus Rohrbach, Dhruv Batra, Devi Parikh
Probabilistic Neural Symbolic Models for Interpretable Visual Question Answering. ICML (2019)
Nirbhay Modhe, Prithvijit Chattopadhyay, Mohit Sharma, Abhishek Das, Devi Parikh, Dhruv Batra, Ramakrishna Vedantam
Unsupervised Discovery of Decision States for Transfer in Reinforcement Learning. CoRR (2019)
Ramakrishna Vedantam, Karan Desai, Stefan Lee, Marcus Rohrbach, Dhruv Batra, Devi Parikh
Probabilistic Neural-symbolic Models for Interpretable Visual Question Answering. CoRR (2019)
Ramakrishna Vedantam, Ian Fischer, Jonathan Huang, Kevin Murphy
Generative Models of Visually Grounded Imagination. ICLR (Poster) (2018)
Ramakrishna Vedantam, Samy Bengio, Kevin Murphy, Devi Parikh, Gal Chechik
Context-Aware Captions from Context-Agnostic Supervision. CVPR (2017)
Prithvijit Chattopadhyay, Ramakrishna Vedantam, Ramprasaath R. Selvaraju, Dhruv Batra, Devi Parikh
Counting Everyday Objects in Everyday Scenes. CVPR (2017)
Ramprasaath R. Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh, Dhruv Batra
Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization. ICCV (2017)
Ramakrishna Vedantam, Ian Fischer, Jonathan Huang, Kevin Murphy
Generative Models of Visually Grounded Imagination. CoRR (2017)
Ashwin K. Vijayakumar, Ramakrishna Vedantam, Devi Parikh
Sound-Word2Vec: Learning Word Representations Grounded in Sounds. EMNLP (2017)
Ashwin K. Vijayakumar, Ramakrishna Vedantam, Devi Parikh
Sound-Word2Vec: Learning Word Representations Grounded in Sounds. CoRR (2017)
Ramakrishna Vedantam, Samy Bengio, Kevin Murphy, Devi Parikh, Gal Chechik
Context-aware Captions from Context-agnostic Supervision. CoRR (2017)
Prithvijit Chattopadhyay, Ramakrishna Vedantam, Ramprasaath R. Selvaraju, Dhruv Batra, Devi Parikh
Counting Everyday Objects in Everyday Scenes. CoRR (2016)
Ramprasaath R. Selvaraju, Abhishek Das, Ramakrishna Vedantam, Michael Cogswell, Devi Parikh, Dhruv Batra
Grad-CAM: Why did you say that? CoRR (2016)
C. Lawrence Zitnick, Ramakrishna Vedantam, Devi Parikh
Adopting Abstract Images for Semantic Scene Understanding. IEEE Trans. Pattern Anal. Mach. Intell. 38 (4) (2016)
Satwik Kottur, Ramakrishna Vedantam, José M. F. Moura, Devi Parikh
VisualWord2Vec (Vis-W2V): Learning Visually Grounded Word Embeddings Using Abstract Scenes. CVPR (2016)
Ramprasaath R. Selvaraju, Abhishek Das, Ramakrishna Vedantam, Michael Cogswell, Devi Parikh, Dhruv Batra
Grad-CAM: Why did you say that? Visual Explanations from Deep Networks via Gradient-based Localization. CoRR (2016)
Xinlei Chen, Hao Fang, Tsung-Yi Lin, Ramakrishna Vedantam, Saurabh Gupta, Piotr Dollár, C. Lawrence Zitnick
Microsoft COCO Captions: Data Collection and Evaluation Server. CoRR (2015)
Ramakrishna Vedantam, Xiao Lin, Tanmay Batra, C. Lawrence Zitnick, Devi Parikh
Learning Common Sense through Visual Abstraction. ICCV (2015)
Ramakrishna Vedantam, C. Lawrence Zitnick, Devi Parikh
CIDEr: Consensus-based image description evaluation. CVPR (2015)
Satwik Kottur, Ramakrishna Vedantam, José M. F. Moura, Devi Parikh
Visual Word2Vec (vis-w2v): Learning Visually Grounded Word Embeddings Using Abstract Scenes. CoRR (2015)
Ramakrishna Vedantam, C. Lawrence Zitnick, Devi Parikh
CIDEr: Consensus-based Image Description Evaluation. CoRR (2014)
Ramakrishna Vedantam, C. Lawrence Zitnick, Devi Parikh
Collecting Image Description Datasets using Crowdsourcing. CoRR (2014)