Siddharth Joshi
7 papers · 2023–2025 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Taxonomy Completionist
(17)
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Keywords
representation learning
(4)
contrastive learning
(3)
self-supervised learning
(2)
feature learning
(1)
domain generalization
(1)
knowledge distillation
(1)
gradient descent
(1)
distribution shift
(1)
subset selection
(1)
foundation model
(1)
data selection
(1)
zero-shot generalization
(1)
dataset distillation
(1)
edge computing
(1)
zero-shot classification
(1)
contrastive language-image pretraining
(1)
feature suppression
(1)
simplicity bia
(1)
representational learning
(1)
mixed precision
(1)
Papers
Dataset Distillation via Knowledge Distillation: Towards Efficient Self-Supervised Pre-training of Deep Networks
ICLR 2025
Data-Efficient Contrastive Language-Image Pretraining: Prioritizing Data Quality over Quantity
AISTATS 2024
Edge Inference With Fully Differentiable Quantized Mixed Precision Neural Networks
WACV 2024
Investigating the Benefits of Projection Head for Representation Learning
ICLR 2024
Understanding the Robustness of Multi-modal Contrastive Learning to Distribution Shift
ICLR 2024
Data-Efficient Contrastive Self-supervised Learning: Most Beneficial Examples for Supervised Learning Contribute the Least
ICML 2023
Which Features are Learnt by Contrastive Learning? On the Role of Simplicity Bias in Class Collapse and Feature Suppression
ICML 2023