SIMONE CALDERARA
25 papers · 2015–2025 · 9 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (40) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Dynamic Duo
(18)
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Prolific Year Β· Productive
π₯
Unstoppable Β· Bronze
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The Questioner
(3)
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Century Club Β· Bronze
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Conference Pioneer
ποΈ
Keyword Collector
(94)
Top co-authors
Research topics
Machine Learning
(17)
Learning Types Β· Machine Learning
(12)
Artificial Intelligence
(7)
Computer Vision
(7)
Analysis
(7)
Application Areas
(7)
Deep Learning
(6)
Core Methods
(6)
Architectures
(4)
Core AI
(4)
Learning Paradigms
(3)
Learning Types Β· Deep Learning
(3)
Optimization & Theory
(3)
Knowledge & Reasoning
(1)
Models
(1)
Keywords
continual learning
(7)
catastrophic forgetting
(4)
experience replay
(2)
convolutional neural network
(2)
knowledge distillation
(2)
self-supervised learning
(2)
multi-object tracking
(2)
multi-task learning
(1)
semantic segmentation
(1)
unsupervised learning
(1)
anomaly detection
(1)
cluster analysis
(1)
density estimation
(1)
feature selection
(1)
domain generalization
(1)
pedestrian detection
(1)
image generation
(1)
trajectory prediction
(1)
algorithmic fairness
(1)
assignment problem
(1)
Papers
A Second-Order Perspective on Model Compositionality and Incremental Learning
ICLR 2025
Closed-Form Merging of Parameter-Efficient Modules for Federated Continual Learning
ICLR 2025
Towards Unbiased Continual Learning: Avoiding Forgetting in the Presence of Spurious Correlations
WACV 2025
U-Net Transplant: The Role of Pre-training for Model Merging in 3D Medical Segmentation
MICCAI 2025
Update Your Transformer to the Latest Release: Re-Basin of Task Vectors
ICML 2025
ClusterFix: A Cluster-Based Debiasing Approach Without Protected-Group Supervision
WACV 2024
Is Multiple Object Tracking a Matter of Specialization?
NeurIPS 2024
Saliency-driven Experience Replay for Continual Learning
NeurIPS 2024
Self-Labeling the Job Shop Scheduling Problem
NeurIPS 2024
Semantic Residual Prompts for Continual Learning
ECCV 2024
Input Perturbation Reduces Exposure Bias in Diffusion Models
ICML 2023
Neuro-Symbolic Continual Learning: Knowledge, Reasoning Shortcuts and Concept Rehearsal
ICML 2023
TrackFlow: Multi-Object tracking with Normalizing Flows
ICCV 2023
How Many Observations Are Enough? Knowledge Distillation for Trajectory Forecasting
CVPR 2022
On the Effectiveness of Lipschitz-Driven Rehearsal in Continual Learning
NeurIPS 2022
Transfer without Forgetting
ECCV 2022
MOTSynth: How Can Synthetic Data Help Pedestrian Detection and Tracking?
ICCV 2021
Compressed Volumetric Heatmaps for Multi-Person 3D Pose Estimation
CVPR 2020
Conditional Channel Gated Networks for Task-Aware Continual Learning
CVPR 2020
Dark Experience for General Continual Learning: a Strong, Simple Baseline
NeurIPS 2020
Robust Re-Identification by Multiple Views Knowledge Distillation
ECCV 2020
Classifying Signals on Irregular Domains via Convolutional Cluster Pooling
AISTATS 2019
Latent Space Autoregression for Novelty Detection
CVPR 2019
Learning to Detect and Track Visible and Occluded Body Joints in a Virtual World
ECCV 2018
Learning to Divide and Conquer for Online Multi-Target Tracking
ICCV 2015