Vivek Ramanujan
16 papers · 2018–2026 · 7 venues · across top CS/AI venues
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Deep Learning
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representation learning
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image classification
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neural network pruning
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zero-shot learning
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transfer learning
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distribution shift
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neural network
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diffusion model
(2)
scene understanding
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few-shot learning
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contrastive learning
(1)
image generation
(1)
domain generalization
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action recognition
(1)
3d reconstruction
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attention mechanism
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embedding learning
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gradient-based optimization
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catastrophic forgetting
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image retrieval
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Papers
VideoNet: A Large-Scale Dataset for Domain-Specific Action Recognition
CVPR 2026
Contrastive Flow Matching
ICCV 2025
From an Image to a Scene: Learning to Imagine the World from a Million 360Β° Videos
NeurIPS 2024
The Unmet Promise of Synthetic Training Images: Using Retrieved Real Images Performs Better
NeurIPS 2024
DataComp: In search of the next generation of multimodal datasets
NeurIPS 2023
Neural Priming for Sample-Efficient Adaptation
NeurIPS 2023
Neural Radiance Field Codebooks
ICLR 2023
On the Connection between Pre-training Data Diversity and Fine-tuning Robustness
NeurIPS 2023
Forward Compatible Training for Large-Scale Embedding Retrieval Systems
CVPR 2022
Matryoshka Representation Learning
NeurIPS 2022
Effects of Parameter Norm Growth During Transformer Training: Inductive Bias from Gradient Descent
EMNLP 2021
LLC: Accurate, Multi-purpose Learnt Low-dimensional Binary Codes
NeurIPS 2021
Soft Threshold Weight Reparameterization for Learnable Sparsity
ICML 2020
Supermasks in Superposition
NeurIPS 2020
What's Hidden in a Randomly Weighted Neural Network?
CVPR 2020
Improving Shape Deformation in Unsupervised Image-to-Image Translation
ECCV 2018