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718 Results
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Workshop
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Bayesian Optimization of High-dimensional Outputs with Human Feedback Qing Feng · Zhiyuan Jerry Lin · Yujia Zhang · Ben Letham · Jelena Markovic-Voronov · Ryan-Rhys Griffiths · Peter Frazier · Eytan Bakshy |
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Poster
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Wed 11:00 |
Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models Kaican Li · Weiyan XIE · Yongxiang Huang · Didan Deng · Lanqing Hong · Zhenguo Li · Ricardo Silva · Nevin L. Zhang |
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Poster
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Fri 11:00 |
Do's and Don'ts: Learning Desirable Skills with Instruction Videos HYUNSEUNG KIM · BYUNG KUN LEE · Hojoon Lee · Dongyoon Hwang · Donghu Kim · Jaegul Choo |
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Affinity Event
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Feasibility of Forecasting Highly Resolved Power Grid Frequency Utilizing Deep Learning Hadeer El Ashhab · Benjamin Schäfer · Sebastian Pütz · Matthias Hertel · Ralf Mikut · Markus Götz · Veit Hagenmeyer |
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Poster
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Thu 11:00 |
Archaeoscape: Bringing Aerial Laser Scanning Archaeology to the Deep Learning Era Yohann PERRON · Vladyslav Sydorov · Adam P. Wijker · Damian Evans · Christophe Pottier · Loic Landrieu |
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Poster
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Fri 16:30 |
G3: An Effective and Adaptive Framework for Worldwide Geolocalization Using Large Multi-Modality Models Pengyue Jia · Yiding Liu · Xiaopeng Li · Xiangyu Zhao · Yuhao Wang · Yantong Du · Xiao Han · Xuetao Wei · Shuaiqiang Wang · Dawei Yin |
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Workshop
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Preference-based Multi-Objective Bayesian Optimization with Gradients Joshua Hang Sai Ip · Ankush Chakrabarty · Ali Mesbah · Diego Romeres |
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Poster
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Wed 16:30 |
DISP-LLM: Dimension-Independent Structural Pruning for Large Language Models Shangqian Gao · Chi-Heng Lin · Ting Hua · Zheng Tang · Yilin Shen · Hongxia Jin · Yen-Chang Hsu |
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Poster
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Fri 11:00 |
HORSE: Hierarchical Representation for Large-Scale Neural Subset Selection Binghui Xie · Yixuan Wang · Yongqiang Chen · Kaiwen Zhou · Yu Li · Wei Meng · James Cheng |
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Workshop
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Meta-Learned Bayesian Optimization for Energy Yield in Inertial Confinement Fusion Vineet Gundecha · Ricardo Luna Gutierrez · Sahand Ghorbanpour · Desik Rengarajan · Rahman Ejaz · Varchas Gopalaswamy · Riccardo Betti · Soumyendu Sarkar |
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Poster
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Fri 16:30 |
Many-Shot In-Context Learning Rishabh Agarwal · Avi Singh · Lei Zhang · Bernd Bohnet · Luis Rosias · Stephanie Chan · Biao Zhang · Ankesh Anand · Zaheer Abbas · Azade Nova · John Co-Reyes · Eric Chu · Feryal Behbahani · Aleksandra Faust · Hugo Larochelle |
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Poster
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Thu 16:30 |
SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors Vijay Chandra Lingam · Atula Neerkaje · Aditya Vavre · Aneesh Shetty · Gautham Krishna Gudur · Joydeep Ghosh · Eunsol Choi · Alex Dimakis · Aleksandar Bojchevski · Sujay Sanghavi |