Francesco Pinto
11 papers · 2022–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (12) π Interdisciplinary Bridge π£ Hot Topic Early Bird π§ Keyword Pioneer π Conference Polyglot (5)
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Taxonomy Completionist
(13)
π₯
Mega-Team
(25)
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Grand Slam
β‘
Prolific Year
(5)
π
Century Club
(11)
Conferences
ICLR (4)
ICML (3)
NIPS (2)
AAAI (1)
ECCV (1)
Top co-authors
Keywords
computer vision
(1)
visual perception
(1)
object recognition
(1)
data augmentation
(1)
multimodal learning
(1)
confidence calibration
(1)
covariate shift
(1)
shape recognition
(1)
out-of-distribution detection
(1)
vision-language model
(1)
uncertainty estimation
(1)
abstract shape
(1)
dataset evaluation
(1)
temperature scaling
(1)
expected calibration error
(1)
predictive uncertainty
(1)
neural network calibration
(1)
perception evaluation
(1)
Papers
Focus On This, Not That! Steering LLMs with Adaptive Feature Specification
ICML 2025
SafeWatch: An Efficient Safety-Policy Following Video Guardrail Model with Transparent Explanations
ICLR 2025
MMDT: Decoding the Trustworthiness and Safety of Multimodal Foundation Models
ICLR 2025
Copyright-Protected Language Generation via Adaptive Model Fusion
ICLR 2025
Towards Certification of Uncertainty Calibration under Adversarial Attacks
ICLR 2025
Extracting Training Data From Document-Based VQA Models
ICML 2024
Not Just Pretty Pictures: Toward Interventional Data Augmentation Using Text-to-Image Generators
ICML 2024
Hidden in Plain Sight: Evaluating Abstract Shape Recognition in Vision-Language Models
NIPS 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
NIPS 2022