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cs.LG2026
Domain-Aware Pruning: Sparsity and Domain Generalization via Regularized Probabilistic Masking
Parham Sazdar, Mostafa Tavassolipour, Reshad Hosseini
Domain generalization (DG) and neural network pruning are conventionally treated as distinct objectives, targeting out-of-distribution (OOD) robustness and model efficiency, respec…
cs.LG2025
Out-of-distribution detection using normalizing flows on the data manifold
Seyedeh Fatemeh Razavi, Mohammad Mahdi Mehmanchi, Reshad Hosseini +1
Using the intuition that out-of-distribution data have lower likelihoods, a common approach for out-of-distribution detection involves estimating the underlying data distribution.…
cs.LG2024
Efficient Relation-aware Neighborhood Aggregation in Graph Neural Networks via Tensor Decomposition
Peyman Baghershahi, Reshad Hosseini, Hadi Moradi
Numerous Graph Neural Networks (GNNs) have been developed to tackle the challenge of Knowledge Graph Embedding (KGE). However, many of these approaches overlook the crucial role of…