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Pregled bibliografske jedinice broj: 1146433

BricksND - Benchmark for disentangled concept learning


Grubišić, Ivan; Lipić, Tomislav; Mesić, Benjamin; Šmuc, Tomislav
BricksND - Benchmark for disentangled concept learning // 5th International Workshop on Data Science (IWDS 2020)
Zagreb, Hrvatska, 2020. (predavanje, nije recenziran, pp prezentacija, znanstveni)


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Naslov
BricksND - Benchmark for disentangled concept learning

Autori
Grubišić, Ivan ; Lipić, Tomislav ; Mesić, Benjamin ; Šmuc, Tomislav

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, pp prezentacija, znanstveni

Skup
5th International Workshop on Data Science (IWDS 2020)

Mjesto i datum
Zagreb, Hrvatska, 24-24.11.2020

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Nije recenziran

Ključne riječi
disentangled representations ; benchmark datasets ; concept-based representation learning ; explainable artificial intelligence

Sažetak
This presentation talks about a novel benchmark for disentangled concept learning, called “BricksND”. The benchmark consists of synthetically generated brick scenes in 1D, 2D and 3D spaces. This benchmark is designed to address the challenges of machine learning, especially disentanglement representations and concept learning.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo



POVEZANOST RADA


Ustanove:
Institut "Ruđer Bošković", Zagreb

Profili:

Avatar Url Ivan Grubišić (autor)

Avatar Url Benjamin Mesić (autor)

Avatar Url Tomislav Lipić (autor)

Avatar Url Tomislav Šmuc (autor)

Poveznice na cjeloviti tekst rada:

fulir.irb.hr fulir.irb.hr fulir.irb.hr

Citiraj ovu publikaciju:

Grubišić, Ivan; Lipić, Tomislav; Mesić, Benjamin; Šmuc, Tomislav
BricksND - Benchmark for disentangled concept learning // 5th International Workshop on Data Science (IWDS 2020)
Zagreb, Hrvatska, 2020. (predavanje, nije recenziran, pp prezentacija, znanstveni)
Grubišić, I., Lipić, T., Mesić, B. & Šmuc, T. (2020) BricksND - Benchmark for disentangled concept learning. U: 5th International Workshop on Data Science (IWDS 2020).
@article{article, year = {2020}, keywords = {disentangled representations, benchmark datasets, concept-based representation learning, explainable artificial intelligence}, title = {BricksND - Benchmark for disentangled concept learning}, keyword = {disentangled representations, benchmark datasets, concept-based representation learning, explainable artificial intelligence}, publisherplace = {Zagreb, Hrvatska} }
@article{article, year = {2020}, keywords = {disentangled representations, benchmark datasets, concept-based representation learning, explainable artificial intelligence}, title = {BricksND - Benchmark for disentangled concept learning}, keyword = {disentangled representations, benchmark datasets, concept-based representation learning, explainable artificial intelligence}, publisherplace = {Zagreb, Hrvatska} }




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