Angelo Porrello
18 papers · 2019–2025 · 9 venues · across top CS/AI venues
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continual learning
(4)
catastrophic forgetting
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experience replay
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self-supervised learning
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knowledge distillation
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algorithmic fairness
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density estimation
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adversarial robustness
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cluster analysis
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anomaly detection
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multi-task learning
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domain generalization
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transformer
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trajectory prediction
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incremental learning
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image generation
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class-incremental learning
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hierarchical clustering
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empirical risk minimization
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unsupervised learning
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Papers
A Second-Order Perspective on Model Compositionality and Incremental 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
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
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