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378 Results
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Poster
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Wed 16:30 |
Provable Benefits of Complex Parameterizations for Structured State Space Models Yuval Ran-Milo · Eden Lumbroso · Edo Cohen-Karlik · Raja Giryes · Amir Globerson · Nadav Cohen |
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Poster
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Gradual Domain Adaptation via Manifold-Constrained Distributionally Robust Optimization seyed amir saberi · Amir Najafi · Amin Behjati · Ala Emrani · Yasaman Zolfimoselo · Shadrooy · Abolfazl Motahari · Babak Khalaj |
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Workshop
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Narrow Transformer: Mono-lingual Code SLM for Desktop Kamalkumar Rathinasamy · Balaji J · Ankush Kumar · Gagan Gayari · Harshini K · Rajab Mondal · Sreenivasa S · Swayam Singh · Mohammed Rafee Tarafdar |
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Workshop
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Towards the Effect of Examples on In-Context Learning: A Theoretical Case Study Pengfei He · Yingqian Cui · Han Xu · Hui Liu · Makoto Yamada · Jiliang Tang · Yue XING |
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Poster
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Wed 16:30 |
Variation Spaces for Multi-Output Neural Networks: Insights on Multi-Task Learning and Network Compression Joseph Shenouda · Rahul Parhi · Kangwook Lee · Robert Nowak |
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Poster
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Wed 11:00 |
Sub-optimal Experts mitigate Ambiguity in Inverse Reinforcement Learning Riccardo Poiani · Curti Gabriele · Alberto Maria Metelli · Marcello Restelli |
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Workshop
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Emergence in non-neural models: grokking modular arithmetic via average gradient outer product Neil Mallinar · Daniel Beaglehole · Libin Zhu · Adityanarayanan Radhakrishnan · Parthe Pandit · Misha Belkin |
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Poster
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Thu 16:30 |
Fine-Tuning is Fine, if Calibrated Zheda Mai · Arpita Chowdhury · Ping Zhang · Cheng-Hao Tu · Hong-You Chen · Vardaan Pahuja · Tanya Berger-Wolf · Song Gao · Charles Stewart · Yu Su · Wei-Lun (Harry) Chao |
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Poster
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Wed 16:30 |
Cloud Object Detector Adaptation by Integrating Different Source Knowledge Shuaifeng Li · Mao Ye · Lihua Zhou · Nianxin Li · Siying Xiao · Song Tang · Xiatian Zhu |
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Workshop
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Enhancing Multivariate Time Series Forecasting via Multi-Task Learning and Random Matrix Theory Romain Ilbert · Malik Tiomoko · Cosme Louart · Vasilii Feofanov · Themis Palpanas · Ievgen Redko |
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Poster
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Wed 11:00 |
Offline Multitask Representation Learning for Reinforcement Learning Haque Ishfaq · Thanh Nguyen-Tang · Songtao Feng · Raman Arora · Mengdi Wang · Ming Yin · Doina Precup |
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Poster
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Thu 16:30 |
Analysing Multi-Task Regression via Random Matrix Theory with Application to Time Series Forecasting Romain Ilbert · Malik Tiomoko · Cosme Louart · Ambroise Odonnat · Vasilii Feofanov · Themis Palpanas · Ievgen Redko |