Francesco Pinto
11 papers · 2022–2025 · 5 venues · across top CS/AI venues
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🗺️ Taxonomy Completionist (23) 🌍 Conference Polyglot · Silver 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge · Bronze 👥 Mega-Team · Squad
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Artificial Intelligence
(7)
Machine Learning
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Core AI · Artificial Intelligence
(7)
Deep Learning
(4)
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Models
(3)
Optimization & Theory
(3)
Computer Vision
(1)
Natural Language Processing
(1)
Analysis
(1)
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Core AI · Computer Vision
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Learning Types · Deep Learning
(1)
Learning Types · Machine Learning
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Keywords
vision-language model
(2)
expected calibration error
(2)
robustness
(1)
visual perception
(1)
object recognition
(1)
data augmentation
(1)
multimodal learning
(1)
out-of-distribution detection
(1)
confidence calibration
(1)
model fusion
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instruction tuning
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covariate shift
(1)
shape recognition
(1)
adversarial attack
(1)
generative model
(1)
text generation
(1)
computer vision
(1)
multimodal large language model
(1)
uncertainty estimation
(1)
adversarial robustness
(1)
Papers
Copyright-Protected Language Generation via Adaptive Model Fusion
ICLR 2025
Focus On This, Not That! Steering LLMs with Adaptive Feature Specification
ICML 2025
MMDT: Decoding the Trustworthiness and Safety of Multimodal Foundation Models
ICLR 2025
SafeWatch: An Efficient Safety-Policy Following Video Guardrail Model with Transparent Explanations
ICLR 2025
Towards Certification of Uncertainty Calibration under Adversarial Attacks
ICLR 2025
Extracting Training Data From Document-Based VQA Models
ICML 2024
Hidden in Plain Sight: Evaluating Abstract Shape Recognition in Vision-Language Models
NeurIPS 2024
Not Just Pretty Pictures: Toward Interventional Data Augmentation Using Text-to-Image Generators
ICML 2024
Sample-Dependent Adaptive Temperature Scaling for Improved Calibration
AAAI 2023
An Impartial Take to the CNN vs Transformer Robustness Contest
ECCV 2022
Using Mixup as a Regularizer Can Surprisingly Improve Accuracy & Out-of-Distribution Robustness
NeurIPS 2022