Daniela Massiceti
11 papers · 2018–2025 · 7 venues · across top CS/AI venues
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Research topics
Machine Learning
(10)
Artificial Intelligence
(6)
Computer Vision
(6)
Learning Types Β· Machine Learning
(6)
Deep Learning
(5)
Analysis
(4)
Application Areas
(4)
Core AI
(4)
Learning Types Β· Deep Learning
(4)
Models
(3)
Natural Language Processing
(2)
Core Methods
(2)
Learning Paradigms
(2)
Computer Science
(1)
Applications
(1)
Keywords
image classification
(3)
few-shot learning
(3)
neural process
(2)
semi-supervised learning
(2)
transfer learning
(2)
visual question answering
(1)
object recognition
(1)
vision transformer
(1)
domain adaptation
(1)
factual knowledge
(1)
semantic segmentation
(1)
uncertainty quantification
(1)
domain generalization
(1)
knowledge distillation
(1)
model evaluation
(1)
question answering
(1)
dialogue generation
(1)
multimodal learning
(1)
contrastive learning
(1)
representation learning
(1)
Papers
Investigating Dictionary Expansion for Video-based Sign Language Dictionaries
EMNLP 2025
Distilling Knowledge from Text-to-Image Generative Models Improves Visio-Linguistic Reasoning in CLIP
EMNLP 2024
Explaining CLIP's Performance Disparities on Data from Blind/Low Vision Users
CVPR 2024
Strong Baselines for Parameter-Efficient Few-Shot Fine-Tuning
AAAI 2024
Understanding Information Storage and Transfer in Multi-Modal Large Language Models
NeurIPS 2024
Hard-Meta-Dataset++: Towards Understanding Few-Shot Performance on Difficult Tasks
ICLR 2023
NP-SemiSeg: When Neural Processes meet Semi-Supervised Semantic Segmentation
ICML 2023
NP-Match: When Neural Processes meet Semi-Supervised Learning
ICML 2022
Memory Efficient Meta-Learning with Large Images
NeurIPS 2021
ORBIT: A Real-World Few-Shot Dataset for Teachable Object Recognition
ICCV 2021
FlipDial: A Generative Model for Two-Way Visual Dialogue
CVPR 2018