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300 Results
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Poster
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Tue 14:00 |
GOOD: A Graph Out-of-Distribution Benchmark Shurui Gui · Xiner Li · Limei Wang · Shuiwang Ji |
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Poster
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Wed 14:00 |
Continual Learning with Evolving Class Ontologies Zhiqiu Lin · Deepak Pathak · Yu-Xiong Wang · Deva Ramanan · Shu Kong |
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Poster
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Wed 9:00 |
Learning from Few Samples: Transformation-Invariant SVMs with Composition and Locality at Multiple Scales Tao Liu · P. R. Kumar · Ruida Zhou · Xi Liu |
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Workshop
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Fri 7:42 |
MAFEA: Multimodal Attribution Framework for Embodied AI Vidhi Jain · Jayant Sravan Tamarapalli · Sahiti Yerramilli · Yonatan Bisk |
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Workshop
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Informative rewards and generalization in curriculum learning Rahul Siripurapu · Vihang Patil · Kajetan Schweighofer · Marius-Constantin Dinu · Markus Holzleitner · Hamid Eghbalzadeh · Luis Ferro · Thomas Schmied · Michael Kopp · Sepp Hochreiter |
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Workshop
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Fri 7:54 |
Addressing Mistake Severity in Neural Networks with Semantic Knowledge Victoria Helus · Nathan Vaska · Natalie Abreu |
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Affinity Workshop
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Boosting Multi-modal Contrastive Learning with Modern Hopfield Networks and InfoLOOB 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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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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Fri 11:00 |
Scientific Experiments in Reinforcement Learning Scott Jordan |
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Poster
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Wed 9:00 |
The Impact of Task Underspecification in Evaluating Deep Reinforcement Learning Vindula Jayawardana · Catherine Tang · Sirui Li · Dajiang Suo · Cathy Wu |
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Poster
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Thu 14:00 |
No-regret learning in games with noisy feedback: Faster rates and adaptivity via learning rate separation Yu-Guan Hsieh · Kimon Antonakopoulos · Volkan Cevher · Panayotis Mertikopoulos |