Publication

Bayesian Model-Agnostic Meta-Learning

Jaesik Yoon, Taesup Kim, Ousmane Dia, Sungwoong Kim, Yoshua Bengio, Sungjin Ahn

Annual Conference on Neural Information Processing Systems (NeurIPS…

Contrastive Self-Supervised Learning for Commonsense Reasoning

Tassilo Klein, Moin Nabi

Annual Conference of the Association for Computational Linguistics (ACL 2020), Seattle, United States

Uncertainty-Driven Semantic Segmentation through Human-Machine Collaborative Learning

Mahdyar Ravanbakhsh, Tassilo Klein, Kayhan Batmanghelich and Moin Nabi

International Conference on…

Attention Is (not) All You Need for Commonsense Reasoning

Tassilo Klein and Moin Nabi

Annual Meeting of the Association for Computational Linguistics (ACL 2019), Florence, Italy (to appear)

Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning?

Oleksiy Ostapenko, Tassilo Klein, Mihai Puscas, Patrick Jaehnichen and Moin Nabi

Conference on Computer…

Prune Your Neurons Blindly: Neural Network Compression Through Structured Class-Blind Pruning

Abdullah Salama, Oleksiy Ostapenko, Tassilo Klein and Moin Nabi

International Conference on…

Training Adversarial Discriminators for Cross-channel Abnormal Event Detection in Crowds

Mahdyar Ravanbakhsh, Enver Sangineto, Moin Nabi and Nicu Sebe

Winter Conference on Applications of…

Self Paced Adversarial Training for Multimodal Few-shot Learning

Frederik Pahde, Oleksiy Ostapenko, Patrick Jähnichen, Tassilo Klein and Moin Nabi

Winter Conference on Applications of…

Low-Shot Learning from Imaginary 3D Model

Frederik Pahde, Mihai Puscas, Jannik Wolff, Tassilo Klein, Nicu Sebe and Moin Nabi

Winter Conference on Applications of Computer Vision (WACV…

Business Analytics for Sales Pipeline Management in the Software Industry: A Machine Learning Perspective

Verena Eitle and Peter Buxmann

Hawaii International Conference on System Sciences…