Jason Ramapuram
11 papers · 2020–2025 · 4 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (20) 🐣 Hot Topic Early Bird 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze
🔥
Unstoppable · Bronze
💎
Century Club · Bronze
Venues
Top co-authors
Research topics
Machine Learning
(9)
Deep Learning
(8)
Core Methods
(6)
Learning Types · Machine Learning
(6)
Architectures
(4)
Learning Types · Deep Learning
(4)
Artificial Intelligence
(3)
Optimization & Theory
(3)
Learning Paradigms
(2)
Techniques
(2)
Computer Vision
(1)
Analysis
(1)
Application Areas
(1)
Core AI
(1)
Models
(1)
Keywords
self-supervised learning
(6)
representation learning
(4)
contrastive learning
(3)
multi-view learning
(2)
multi-view self-supervised learning
(2)
bayesian inference
(1)
audio-visual learning
(1)
transfer learning
(1)
multimodal learning
(1)
attention mechanism
(1)
sim-to-real transfer
(1)
image reconstruction
(1)
neural network optimization
(1)
theoretical analysis
(1)
episodic memory
(1)
mutual information
(1)
optimization
(1)
semantic memory
(1)
embedding learning
(1)
image generation
(1)
Papers
Distillation Scaling Laws
ICML 2025
Theory, Analysis, and Best Practices for Sigmoid Self-Attention
ICLR 2025
Poly-View Contrastive Learning
ICLR 2024
DUET: 2D Structured and Approximately Equivariant Representations
ICML 2023
How to Scale Your EMA
NeurIPS 2023
Stabilizing Transformer Training by Preventing Attention Entropy Collapse
ICML 2023
The Role of Entropy and Reconstruction in Multi-View Self-Supervised Learning
ICML 2023
Position Prediction as an Effective Pretraining Strategy
ICML 2022
Hypersim: A Photorealistic Synthetic Dataset for Holistic Indoor Scene Understanding
ICCV 2021
Kanerva++: Extending the Kanerva Machine With Differentiable, Locally Block Allocated Latent Memory
ICLR 2021
Self-Supervised MultiModal Versatile Networks
NeurIPS 2020