Valeriia Cherepanova
6 papers · 2020–2024 · 3 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(19)
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Hot Topic Early Bird
Venues
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Research topics
Artificial Intelligence
(5)
Machine Learning
(5)
Core Methods
(4)
Learning Paradigms
(3)
Deep Learning
(2)
Application Areas
(2)
Core AI
(2)
Learning Types · Deep Learning
(2)
Learning Types · Machine Learning
(2)
Optimization & Theory
(2)
Natural Language Processing
(1)
Generation
(1)
Models
(1)
Techniques
(1)
Keywords
representation learning
(1)
few-shot learning
(1)
transfer learning
(1)
feature selection
(1)
face detection
(1)
in-context learning
(1)
text generation
(1)
adversarial attack
(1)
adversarial perturbation
(1)
parameter-efficient fine-tuning
(1)
feature engineering
(1)
tabular data
(1)
privacy protection
(1)
tabular deep learning
(1)
tabular classification
(1)
feature extractor
(1)
prior-data fitted network
(1)
context optimization
(1)
gradient boosted decision tree
(1)
input gradient
(1)
Papers
Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text
ICML 2024
TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks
NeurIPS 2024
A Performance-Driven Benchmark for Feature Selection in Tabular Deep Learning
NeurIPS 2023
Transfer Learning with Deep Tabular Models
ICLR 2023
LowKey: Leveraging Adversarial Attacks to Protect Social Media Users from Facial Recognition
ICLR 2021
Unraveling Meta-Learning: Understanding Feature Representations for Few-Shot Tasks
ICML 2020