Yuesong Shen - RankMe

19 papers A* 4A 2Journal 11Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Improving LoRA with Variational Learning. CoRR Bai Cong, Nico Daheim, Yuesong Shen, Rio Yokota, Mohammad Emtiyaz Khan, Thomas Möllenhoff
2025	—	`—`	Probabilistic Modeling and Uncertainty Awareness in Deep learning. Yuesong Shen
2024	A*	`conf`	Variational Learning is Effective for Large Deep Networks. ICML Yuesong Shen, Nico Daheim, Bai Cong, Peter Nickl, Gian Maria Marconi, Clement Bazan, Rio Yokota, Iryna Gurevych, Daniel Cremers, Mohammad Emtiyaz Khan, Thomas Möllenhoff
2024	J	`jnl`	Variational Learning is Effective for Large Deep Networks. CoRR Yuesong Shen, Nico Daheim, Bai Cong, Peter Nickl, Gian Maria Marconi, Clement Bazan, Rio Yokota, Iryna Gurevych, Daniel Cremers, Mohammad Emtiyaz Khan, Thomas Möllenhoff
2024	J	`jnl`	Variational Low-Rank Adaptation Using IVON. CoRR Bai Cong, Nico Daheim, Yuesong Shen, Daniel Cremers, Rio Yokota, Mohammad Emtiyaz Khan, Thomas Möllenhoff
2023	A*	`conf`	Beyond In-Domain Scenarios: Robust Density-Aware Calibration. ICML Christian Tomani, Futa Kai Waseda, Yuesong Shen, Daniel Cremers
2023	J	`jnl`	Beyond In-Domain Scenarios: Robust Density-Aware Calibration. CoRR Christian Tomani, Futa Waseda, Yuesong Shen, Daniel Cremers
2023	J	`jnl`	ResolvNet: A Graph Convolutional Network with multi-scale Consistency. CoRR Christian Koke, Abhishek Saroha, Yuesong Shen, Marvin Eisenberger, Daniel Cremers
2022	J	`jnl`	A Graph Is More Than Its Nodes: Towards Structured Uncertainty-Aware Learning on Graphs. CoRR Hans Hao-Hsun Hsu, Yuesong Shen, Daniel Cremers
2022	A*	`conf`	Deep Combinatorial Aggregation. NeurIPS Yuesong Shen, Daniel Cremers
2022	J	`jnl`	Deep Combinatorial Aggregation. CoRR Yuesong Shen, Daniel Cremers
2022	A*	`conf`	What Makes Graph Neural Networks Miscalibrated? NeurIPS Hans Hao-Hsun Hsu, Yuesong Shen, Christian Tomani, Daniel Cremers
2022	J	`jnl`	What Makes Graph Neural Networks Miscalibrated? CoRR Hans Hao-Hsun Hsu, Yuesong Shen, Christian Tomani, Daniel Cremers
2021	J	`jnl`	Explicit Pairwise Factorized Graph Neural Network for Semi-Supervised Node Classification. CoRR Yu Wang, Yuesong Shen, Daniel Cremers
2021	A	`conf`	Explicit pairwise factorized graph neural network for semi-supervised node classification. UAI Yu Wang, Yuesong Shen, Daniel Cremers
2020	J	`jnl`	Deriving Neural Network Design and Learning from the Probabilistic Framework of Chain Graphs. CoRR Yuesong Shen, Daniel Cremers
2019	J	`jnl`	Probabilistic Discriminative Learning with Layered Graphical Models. CoRR Yuesong Shen, Tao Wu, Csaba Domokos, Daniel Cremers
2017	A	`conf`	Deep learning for multimodal-based video interestingness prediction. ICME Yuesong Shen, Claire-Hélène Demarty, Ngoc Q. K. Duong
2016	—	`conf`	Technicolor@MediaEval 2016 Predicting Media Interestingness Task. MediaEval Yuesong Shen, Claire-Hélène Demarty, Ngoc Q. K. Duong