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53 Results
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Poster
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Wed 2:30 |
Sparse is Enough in Fine-tuning Pre-trained Large Language Models Weixi Song · Zuchao Li · Lefei Zhang · hai zhao · Bo Du |
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Workshop
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Liouna: Biologically Plausible Learning for Efficient Pre-Training of Transferrable Deep Models Fady Rezk · Antreas Antoniou · Henry Gouk · Timothy Hospedales |
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Workshop
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Combining Pre-trained LoRA Modules Improves Few-shot Adaptation of Foundation Models to New Tasks Nader Asadi · Mahdi Beitollahi · Yasser Khalil · Yinchuan Li · Guojun Zhang · Xi Chen |
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Poster
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Thu 4:30 |
Better Safe than Sorry: Pre-training CLIP against Targeted Data Poisoning and Backdoor Attacks Wenhan Yang · Jingdong Gao · Baharan Mirzasoleiman |
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Poster
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Wed 4:30 |
Retrieval Across Any Domains via Large-scale Pre-trained Model Jiexi Yan · Zhihui Yin · Chenghao Xu · Cheng Deng · Heng Huang |
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Poster
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Tue 4:30 |
Getting the most out of your tokenizer for pre-training and domain adaptation Gautier Dagan · Gabriel Synnaeve · Baptiste Roziere |
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Poster
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Thu 2:30 |
Defense against Backdoor Attack on Pre-trained Language Models via Head Pruning and Attention Normalization Xingyi Zhao · Depeng Xu · Shuhan Yuan |
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Workshop
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Boost your crystal model with denoising pre-training Shuaike Shen · Ke Liu · Muzhi Zhu · Hao Chen |
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Workshop
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Implementability of Information Elicitation Mechanisms with Pre-Trained Language Models Zach Robertson · Hannah Cha · Andrew Sheha · Sanmi Koyejo |
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Poster
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Thu 2:30 |
Improving fine-grained understanding in image-text pre-training Ioana Bica · Anastasija Ilic · Matthias Bauer · Goker Erdogan · Matko Bošnjak · Christos Kaplanis · Alexey Gritsenko · Matthias Minderer · Charles Blundell · Razvan Pascanu · Jovana Mitrovic |
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Affinity Workshop
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Towards Learning Activity Cliff-Aware Molecular Representations César Miguel Valdez Córdova |
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Poster
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Wed 2:30 |
Investigating Pre-Training Objectives for Generalization in Vision-Based Reinforcement Learning Donghu Kim · Hojoon Lee · Kyungmin Lee · Dongyoon Hwang · Jaegul Choo |