Pinned Repositories
HeddacohenIndelman.github.io
indi-hard-negative-selection
InDi: Informative and Diverse Sampling for Dense Retrieval (ECIR 2024)
Learning-Constrained-Structured-Spaces-with-Application-to-Multi-Graph-Matching
This is the official code for the AISTATS 2023 paper "Learning Constrained Structured Spaces with Application to Multi-Graph Matching"
Learning-Gumbel-Sinkhorn-Permutations-w-Pytorch
LEARNING LATENT PERMUTATIONS WITH GUMBEL-SINKHORN NETWORKS IMPLEMENTATION WITH PYTORCH
Learning-Latent-Partial-Matchings-with-Gumbel-IPF-Networks
This is the PyTorch implementation of the AISTATS 2024 paper titled "Learning Latent Partial Matchings with Gumbel-IPF Networks".
PerturbedStructuredPredictorsDirect
This is the official implementation of the bipartite matching experiment from the paper "Learning Randomly Perturbed Structured Predictors for Direct Loss Minimization".
TransferLearning-in-Medical-Imaging
This is a case study of experimenting with Pneumonia detection in chest X-ray images of a public dataset
HeddaCohenIndelman's Repositories
HeddaCohenIndelman/Learning-Gumbel-Sinkhorn-Permutations-w-Pytorch
LEARNING LATENT PERMUTATIONS WITH GUMBEL-SINKHORN NETWORKS IMPLEMENTATION WITH PYTORCH
HeddaCohenIndelman/TransferLearning-in-Medical-Imaging
This is a case study of experimenting with Pneumonia detection in chest X-ray images of a public dataset
HeddaCohenIndelman/PerturbedStructuredPredictorsDirect
This is the official implementation of the bipartite matching experiment from the paper "Learning Randomly Perturbed Structured Predictors for Direct Loss Minimization".
HeddaCohenIndelman/Learning-Latent-Partial-Matchings-with-Gumbel-IPF-Networks
This is the PyTorch implementation of the AISTATS 2024 paper titled "Learning Latent Partial Matchings with Gumbel-IPF Networks".
HeddaCohenIndelman/HeddacohenIndelman.github.io
HeddaCohenIndelman/indi-hard-negative-selection
InDi: Informative and Diverse Sampling for Dense Retrieval (ECIR 2024)
HeddaCohenIndelman/Learning-Constrained-Structured-Spaces-with-Application-to-Multi-Graph-Matching
This is the official code for the AISTATS 2023 paper "Learning Constrained Structured Spaces with Application to Multi-Graph Matching"