Sfoglia per Serie ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS
Mostrati risultati da 1 a 10 di 10
Adversarial Style Augmentation for Domain Generalized Urban-Scene Segmentation
2022-01-01 Zhong, Z.; Zhao, Y.; Lee, G. H.; Sebe, N.
ColdGANs: Taming language GANs with cautious sampling strategies
2020-01-01 Scialom, T.; Dray, P. -A.; Lamprier, S.; Piwowarski, B.; Staiano, J.
A Compositional Atlas of Tractable Circuit Operations for Probabilistic Inference
2021-01-01 Vergari, Antonio; Choi, Yoojung; Liu, Anji; Teso, Stefano; Van den Broeck, Guy
Efficient Generation of Structured Objects with Constrained Adversarial Networks
2020-01-01 Di Liello, Luca; Ardino, Pierfrancesco; Gobbi, Jacopo; Morettin, Paolo; Teso, Stefano; Passerini, Andrea
GlanceNets: Interpretabile, Leak-proof Concept-based Models
2022-01-01 Marconato, Emanuele; Passerini, Andrea; Teso, Stefano
Interactive label cleaning with example-based explanations
2021-01-01 Teso, Stefano; Bontempelli, Andrea; Giunchiglia, Fausto; Passerini, Andrea
Latent World Models For Intrinsically Motivated Exploration
2020-01-01 Ermolov, Aleksandr; Sebe, Nicu
RankFeat: Rank-1 Feature Removal for Out-of-distribution Detection
2022-01-01 Song, Y.; Sebe, N.; Wang, W.
Semantic Probabilistic Layers for Neuro-Symbolic Learning
2022-01-01 Ahmed, Kareem; Teso, Stefano; Chang, Kai-Wei; Van den Broeck, Guy; Vergari, Antonio
To Beam Or Not To Beam: That is a Question of Cooperation for Language GANs
2021-01-01 Scialom, T.; Dray, P. -A.; Lamprier, S.; Piwowarski, B.; Staiano, J.
Mostrati risultati da 1 a 10 di 10
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