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322 Results
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Workshop
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Monitoring of Perception Systems: Deterministic, Probabilistic, and Learning-based Fault Detection and Identification Pasquale Antonante · Heath Nilsen · Luca Carlone |
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Poster
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Wed 14:00 |
CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP Andreas Fürst · Elisabeth Rumetshofer · Johannes Lehner · Viet T. Tran · Fei Tang · Hubert Ramsauer · David Kreil · Michael Kopp · Günter Klambauer · Angela Bitto · Sepp Hochreiter |
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Poster
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Thu 14:00 |
Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnable Classifier at the End of Deep Neural Network? Yibo Yang · Shixiang Chen · Xiangtai Li · Liang Xie · Zhouchen Lin · Dacheng Tao |
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Workshop
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A probabilistic deep learning model to distinguish cusps and cores in dwarf galaxies Julen Expósito Márquez · Marc Huertas-Company · Arianna Di Cintio · Chris Brook · Andrea Macciò · Rob Grant · Elena Arjona |
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Poster
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Thu 9:00 |
Semantic Probabilistic Layers for Neuro-Symbolic Learning Kareem Ahmed · Stefano Teso · Kai-Wei Chang · Guy Van den Broeck · Antonio Vergari |
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Poster
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Tue 9:00 |
Learning Probabilistic Models from Generator Latent Spaces with Hat EBM Mitch Hill · Erik Nijkamp · Jonathan Mitchell · Bo Pang · Song-Chun Zhu |
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Poster
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A Differentiable Semantic Metric Approximation in Probabilistic Embedding for Cross-Modal Retrieval Hao Li · Jingkuan Song · Lianli Gao · Pengpeng Zeng · Haonan Zhang · Gongfu Li |
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Poster
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Wed 14:00 |
On A Mallows-type Model For (Ranked) Choices Yifan Feng · Yuxuan Tang |
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Poster
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Wed 14:00 |
FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear Modulation Mehmet Ozgur Turkoglu · Alexander Becker · Hüseyin Anil Gündüz · Mina Rezaei · Bernd Bischl · Rodrigo Caye Daudt · Stefano D'Aronco · Jan Wegner · Konrad Schindler |
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Workshop
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PropertyDAG: Multi-objective Bayesian optimization of partially ordered, mixed-variable properties for biological sequence design Ji Won Park · Samuel Stanton · Saeed Saremi · Andrew Watkins · Stephen Ra · Vladimir Gligorijevic · Kyunghyun Cho · Richard Bonneau |