150 citations · 488 across the 33 of their papers we have counts for
4 papers · 1 filter
Follow the Geometry, Not the Model: Cold Start Semi-Supervised Learning
Itai David, Daphna Weinshall
Modern semi-supervised learning (SSL) couples pseudo-label generation and classifier training, using the classifier's own confidence to select the pseudo-labels that are then used…
Coordination on a Budget: Federated Active Learning with Few Labels
Liam Mohr, Daphna Weinshall
Federated Active Learning (FAL) addresses the dual challenges of data privacy and label scarcity, where the absence of a global data view introduces additional hurdles for coordina…
VISTA: Validation-Informed Trajectory Adaptation via Self-Distillation
Eli Corn, Daphna Weinshall
Deep learning models may converge to suboptimal solutions despite strong validation accuracy, masking an optimization failure we term Trajectory Deviation. This is because as train…
Leveraging Complementary Embeddings for Replay Selection in Continual Learning with Small Buffers
Danit Yanowsky, Daphna Weinshall
Catastrophic forgetting remains a key challenge in Continual Learning (CL). In replay-based CL with severe memory constraints, performance critically depends on the sample selectio…