Ramakrishna Vedantam
16 papers · 2015–2025 · 7 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (42) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π§
Keyword Pioneer
ποΈ
Keyword Collector
(84)
π
Trend Setter
π
Renaissance Researcher
(5)
π₯
Unstoppable Β· Bronze
π
Conference Pioneer
π
Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(10)
Artificial Intelligence
(9)
Computer Vision
(7)
Core AI
(7)
Deep Learning
(6)
Core Methods
(6)
Natural Language Processing
(4)
Application Areas
(4)
Learning Paradigms
(4)
Learning Types Β· Deep Learning
(4)
Learning Types Β· Machine Learning
(4)
Analysis
(3)
Applications
(2)
Generation Β· Natural Language Processing
(2)
Generation Β· Computer Vision
(2)
Keywords
multimodal learning
(3)
visual question answering
(3)
scene understanding
(3)
abstract scene
(2)
image captioning
(2)
word embedding
(2)
representation learning
(2)
risk management
(1)
image generation
(1)
image classification
(1)
information bottleneck
(1)
image retrieval
(1)
natural language processing
(1)
few-shot learning
(1)
image synthesis
(1)
variational inference
(1)
supervised learning
(1)
visual reasoning
(1)
visual grounding
(1)
domain generalization
(1)
Papers
Emphasizing Discriminative Features for Dataset Distillation in Complex Scenarios
CVPR 2025
Improving Selective Visual Question Answering by Learning From Your Peers
CVPR 2023
COAT: Measuring Object Compositionality in Emergent Representations
ICML 2022
An Empirical Investigation of Domain Generalization with Empirical Risk Minimizers
NeurIPS 2021
CURI: A Benchmark for Productive Concept Learning Under Uncertainty
ICML 2021
IR-VIC: Unsupervised Discovery of Sub-goals for Transfer in RL
IJCAI 2020
Learning Optimal Representations with the Decodable Information Bottleneck
NeurIPS 2020
Probabilistic Neural Symbolic Models for Interpretable Visual Question Answering
ICML 2019
Generative Models of Visually Grounded Imagination
ICLR 2018
Context-Aware Captions From Context-Agnostic Supervision
CVPR 2017
Counting Everyday Objects in Everyday Scenes
CVPR 2017
Grad-CAM: Visual Explanations From Deep Networks via Gradient-Based Localization
ICCV 2017
Sound-Word2Vec: Learning Word Representations Grounded in Sounds
EMNLP 2017
Visual Word2Vec (vis-w2v): Learning Visually Grounded Word Embeddings Using Abstract Scenes
CVPR 2016
CIDEr: Consensus-Based Image Description Evaluation
CVPR 2015
Learning Common Sense Through Visual Abstraction
ICCV 2015