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347 Results
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Poster
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Thu 8:45 |
FOCAL: Contrastive Learning for Multimodal Time-Series Sensing Signals in Factorized Orthogonal Latent Space Shengzhong Liu · Tomoyoshi Kimura · Dongxin Liu · Ruijie Wang · Jinyang Li · Suhas Diggavi · Mani Srivastava · Tarek Abdelzaher |
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Workshop
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Exploring the Potential of Large Language Models (LLMs) in Learning on Graph Zhikai Chen · Haitao Mao · Hang Li · Wei Jin · Hongzhi Wen · Xiaochi Wei · Shuaiqiang Wang · Dawei Yin · Wenqi Fan · Hui Liu · Jiliang Tang |
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Poster
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Thu 8:45 |
Predicting Global Label Relationship Matrix for Graph Neural Networks under Heterophily Langzhang Liang · Xiangjing Hu · Zenglin Xu · Zixing Song · Irwin King |
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Poster
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Thu 15:00 |
LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching Duy M. H. Nguyen · Hoang Nguyen · Nghiem Diep · Tan Ngoc Pham · Tri Cao · Binh Nguyen · Paul Swoboda · Paul Swoboda · Nhat Ho · Shadi Albarqouni · Pengtao Xie · Pengtao Xie · Daniel Sonntag · Mathias Niepert |
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Workshop
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Improving Domain Generalization in Contrastive Learning via Domain-Aware Temperature Control Robert Lewis · Katie Matton · Rosalind Picard · John Guttag |
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Poster
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Wed 8:45 |
Three Towers: Flexible Contrastive Learning with Pretrained Image Models Jannik Kossen · Mark Collier · Basil Mustafa · Xiao Wang · Xiaohua Zhai · Lucas Beyer · Andreas Steiner · Andreas Steiner · Jesse Berent · Rodolphe Jenatton · Effrosyni Kokiopoulou |
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Workshop
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PREMIER-TACO is a Few-Shot Policy Learner: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Loss Ruijie Zheng · Yongyuan Liang · Xiyao Wang · Shuang Ma · Hal Daumé III · Huazhe Xu · John Langford · Praveen Palanisamy · Kalyan Basu · Furong Huang |
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Poster
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Tue 8:45 |
Slimmed Asymmetrical Contrastive Learning and Cross Distillation for Lightweight Model Training Jian Meng · Li Yang · Kyungmin Lee · Jinwoo Shin · Deliang Fan · Jae-sun Seo |
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Workshop
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Generalized Contrastive Divergence: Joint Training of Energy-Based Model and Diffusion Model through Inverse Reinforcement Learning Sangwoong Yoon · Dohyun Kwon · Himchan Hwang · Yung-Kyun Noh · Frank Park |
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Poster
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Thu 8:45 |
Reconstructing the Mind's Eye: fMRI-to-Image with Contrastive Learning and Diffusion Priors Paul Scotti · Atmadeep Banerjee · Jimmie Goode · Stepan Shabalin · Alex Nguyen · ethan cohen · Aidan Dempster · Nathalie Verlinde · Elad Yundler · David Weisberg · Kenneth Norman · Tanishq Abraham |
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Workshop
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Fri 11:35 |
Does CLIP’s generalization performance mainly stem from high train-test similarity? Prasanna Mayilvahanan · Thaddäus Wiedemer · Evgenia Rusak · Matthias Bethge · Wieland Brendel |