Ramakrishna Vedantam

39 papers A* 16Journal 21Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Emphasizing Discriminative Features for Dataset Distillation in Complex Scenarios. CVPR Kai Wang, Zekai Li, Zhi-Qi Cheng, Samir Khaki, Ahmad Sajedi, Ramakrishna Vedantam, Konstantinos N. Plataniotis, Alexander Hauptmann, Yang You
2024	J	`jnl`	Emphasizing Discriminative Features for Dataset Distillation in Complex Scenarios. CoRR Kai Wang, Zekai Li, Zhi-Qi Cheng, Samir Khaki, Ahmad Sajedi, Ramakrishna Vedantam, Konstantinos N. Plataniotis, Alex Hauptmann, Yang You
2024	J	`jnl`	Understanding the Detrimental Class-level Effects of Data Augmentation. CoRR Polina Kirichenko, Mark Ibrahim, Randall Balestriero, Diane Bouchacourt, Ramakrishna Vedantam, Hamed Firooz, Andrew Gordon Wilson
2023	A*	`conf`	Don't forget the nullspace! Nullspace occupancy as a mechanism for out of distribution failure. ICLR Daksh Idnani, Vivek Madan, Naman Goyal, David J. Schwab, Ramakrishna Vedantam
2023	J	`jnl`	Embarassingly Simple Dataset Distillation. CoRR Yunzhen Feng, Ramakrishna Vedantam, Julia Kempe
2023	J	`jnl`	Hyperbolic Image-Text Representations. CoRR Karan Desai, Maximilian Nickel, Tanmay Rajpurohit, Justin Johnson, Ramakrishna Vedantam
2023	A*	`conf`	Improving Selective Visual Question Answering by Learning from Your Peers. CVPR Corentin Dancette, Spencer Whitehead, Rishabh Maheshwary, Ramakrishna Vedantam, Stefan Scherer, Xinlei Chen, Matthieu Cord, Marcus Rohrbach
2023	J	`jnl`	Improving Selective Visual Question Answering by Learning from Your Peers. CoRR Corentin Dancette, Spencer Whitehead, Rishabh Maheshwary, Ramakrishna Vedantam, Stefan Scherer, Xinlei Chen, Matthieu Cord, Marcus Rohrbach
2022	A*	`conf`	COAT: Measuring Object Compositionality in Emergent Representations. ICML Sirui Xie, Ari S. Morcos, Song-Chun Zhu, Ramakrishna Vedantam
2021	A*	`conf`	An Empirical Investigation of Domain Generalization with Empirical Risk Minimizers. NeurIPS Ramakrishna Vedantam, David Lopez-Paz, David J. Schwab
2021	A*	`conf`	CURI: A Benchmark for Productive Concept Learning Under Uncertainty. ICML Ramakrishna Vedantam, Arthur Szlam, Maximilian Nickel, Ari Morcos, Brenden M. Lake
2020	J	`jnl`	CURI: A Benchmark for Productive Concept Learning Under Uncertainty. CoRR Ramakrishna Vedantam, Arthur Szlam, Maximilian Nickel, Ari Morcos, Brenden M. Lake
2020	J	`jnl`	Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization. Int. J. Comput. Vis. Ramprasaath R. Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh, Dhruv Batra
2020	A*	`conf`	IR-VIC: Unsupervised Discovery of Sub-goals for Transfer in RL. IJCAI Nirbhay Modhe, Prithvijit Chattopadhyay, Mohit Sharma, Abhishek Das, Devi Parikh, Dhruv Batra, Ramakrishna Vedantam
2020	A*	`conf`	Learning Optimal Representations with the Decodable Information Bottleneck. NeurIPS Yann Dubois, Douwe Kiela, David J. Schwab, Ramakrishna Vedantam
2020	J	`jnl`	Learning Optimal Representations with the Decodable Information Bottleneck. CoRR Yann Dubois, Douwe Kiela, David J. Schwab, Ramakrishna Vedantam
2019	—	`—`	Interpretation, grounding and imagination for machine intelligence. Ramakrishna Vedantam
2019	A*	`conf`	Probabilistic Neural Symbolic Models for Interpretable Visual Question Answering. ICML Ramakrishna Vedantam, Karan Desai, Stefan Lee, Marcus Rohrbach, Dhruv Batra, Devi Parikh
2019	J	`jnl`	Probabilistic Neural-symbolic Models for Interpretable Visual Question Answering. CoRR Ramakrishna Vedantam, Karan Desai, Stefan Lee, Marcus Rohrbach, Dhruv Batra, Devi Parikh
2019	J	`jnl`	Unsupervised Discovery of Decision States for Transfer in Reinforcement Learning. CoRR Nirbhay Modhe, Prithvijit Chattopadhyay, Mohit Sharma, Abhishek Das, Devi Parikh, Dhruv Batra, Ramakrishna Vedantam
2018	—	`conf`	Generative Models of Visually Grounded Imagination. ICLR (Poster) Ramakrishna Vedantam, Ian Fischer, Jonathan Huang, Kevin Murphy
2017	A*	`conf`	Context-Aware Captions from Context-Agnostic Supervision. CVPR Ramakrishna Vedantam, Samy Bengio, Kevin Murphy, Devi Parikh, Gal Chechik
2017	J	`jnl`	Context-aware Captions from Context-agnostic Supervision. CoRR Ramakrishna Vedantam, Samy Bengio, Kevin Murphy, Devi Parikh, Gal Chechik
2017	A*	`conf`	Counting Everyday Objects in Everyday Scenes. CVPR Prithvijit Chattopadhyay, Ramakrishna Vedantam, Ramprasaath R. Selvaraju, Dhruv Batra, Devi Parikh
2017	J	`jnl`	Generative Models of Visually Grounded Imagination. CoRR Ramakrishna Vedantam, Ian Fischer, Jonathan Huang, Kevin Murphy
2017	A*	`conf`	Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization. ICCV Ramprasaath R. Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh, Dhruv Batra
2017	A*	`conf`	Sound-Word2Vec: Learning Word Representations Grounded in Sounds. EMNLP Ashwin K. Vijayakumar, Ramakrishna Vedantam, Devi Parikh
2017	J	`jnl`	Sound-Word2Vec: Learning Word Representations Grounded in Sounds. CoRR Ashwin K. Vijayakumar, Ramakrishna Vedantam, Devi Parikh
2016	J	`jnl`	Adopting Abstract Images for Semantic Scene Understanding. IEEE Trans. Pattern Anal. Mach. Intell. C. Lawrence Zitnick, Ramakrishna Vedantam, Devi Parikh
2016	J	`jnl`	Counting Everyday Objects in Everyday Scenes. CoRR Prithvijit Chattopadhyay, Ramakrishna Vedantam, Ramprasaath R. Selvaraju, Dhruv Batra, Devi Parikh
2016	J	`jnl`	Grad-CAM: Why did you say that? CoRR Ramprasaath R. Selvaraju, Abhishek Das, Ramakrishna Vedantam, Michael Cogswell, Devi Parikh, Dhruv Batra
2016	J	`jnl`	Grad-CAM: Why did you say that? Visual Explanations from Deep Networks via Gradient-based Localization. CoRR Ramprasaath R. Selvaraju, Abhishek Das, Ramakrishna Vedantam, Michael Cogswell, Devi Parikh, Dhruv Batra
2016	A*	`conf`	VisualWord2Vec (Vis-W2V): Learning Visually Grounded Word Embeddings Using Abstract Scenes. CVPR Satwik Kottur, Ramakrishna Vedantam, José M. F. Moura, Devi Parikh
2015	A*	`conf`	CIDEr: Consensus-based image description evaluation. CVPR Ramakrishna Vedantam, C. Lawrence Zitnick, Devi Parikh
2015	A*	`conf`	Learning Common Sense through Visual Abstraction. ICCV Ramakrishna Vedantam, Xiao Lin, Tanmay Batra, C. Lawrence Zitnick, Devi Parikh
2015	J	`jnl`	Microsoft COCO Captions: Data Collection and Evaluation Server. CoRR Xinlei Chen, Hao Fang, Tsung-Yi Lin, Ramakrishna Vedantam, Saurabh Gupta, Piotr Dollár, C. Lawrence Zitnick
2015	J	`jnl`	Visual Word2Vec (vis-w2v): Learning Visually Grounded Word Embeddings Using Abstract Scenes. CoRR Satwik Kottur, Ramakrishna Vedantam, José M. F. Moura, Devi Parikh
2014	J	`jnl`	CIDEr: Consensus-based Image Description Evaluation. CoRR Ramakrishna Vedantam, C. Lawrence Zitnick, Devi Parikh
2014	J	`jnl`	Collecting Image Description Datasets using Crowdsourcing. CoRR Ramakrishna Vedantam, C. Lawrence Zitnick, Devi Parikh