Natalia Ponomareva
13 papers · 2012–2025 · 8 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (8) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (13)
🐝
Cross-Pollinator
(14)
🌈
Renaissance Researcher
(6)
🌍
Conference Polyglot
(8)
💎
Century Club
(13)
🔥
Unstoppable
(6)
❓
The Questioner
(2)
Conferences
ICML (3)
AISTATS (2)
EMNLP (2)
NAACL (2)
ACL (1)
CONLL (1)
ICLR (1)
NIPS (1)
Top co-authors
Research topics
Keywords
differential privacy
(4)
domain adaptation
(2)
text-to-text transformer
(2)
privacy-preserving training
(2)
ensemble learning
(2)
model compression
(2)
model memorization
(2)
contrastive learning
(1)
in-context learning
(1)
neural network pruning
(1)
weak learner
(1)
model architecture
(1)
conditional computation
(1)
privacy-preserving learning
(1)
transformer architecture
(1)
generative model
(1)
tree ensemble
(1)
semi-supervised learning
(1)
differentiable programming
(1)
gradient boosting
(1)
Papers
Scaling Laws for Downstream Task Performance in Machine Translation
ICLR 2025
Synthetic Query Generation for Privacy-Preserving Deep Retrieval Systems using Differentially Private Language Models
NAACL 2024
Private prediction for large-scale synthetic text generation
EMNLP 2024
OSSCAR: One-Shot Structured Pruning in Vision and Language Models with Combinatorial Optimization
ICML 2024
Fast as CHITA: Neural Network Pruning with Combinatorial Optimization
ICML 2023
Mind the (optimality) Gap: A Gap-Aware Learning Rate Scheduler for Adversarial Nets
AISTATS 2023
Training Text-to-Text Transformers with Privacy Guarantees
NAACL 2022
Training Text-to-Text Transformers with Privacy Guarantees
ACL 2022
Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training data
NIPS 2021
The Tree Ensemble Layer: Differentiability meets Conditional Computation
ICML 2020
Accelerating Gradient Boosting Machines
AISTATS 2020
Do Neighbours Help? An Exploration of Graph-based Algorithms for Cross-domain Sentiment Classification
EMNLP 2012
Do Neighbours Help? An Exploration of Graph-based Algorithms for Cross-domain Sentiment Classification
CONLL 2012