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91 Results
Workshop
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Improving the Efficiency of Self-Supervised Adversarial Training through Latent Clustering-based Selection Somrita Ghosh · Yuelin Xu · Xiao Zhang |
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Workshop
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Understanding the Role of Equivariance in Self-supervised Learning Yifei Wang · Kaiwen Hu · Sharut Gupta · Ziyu Ye · Yisen Wang · Stefanie Jegelka |
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Poster
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Thu 4:30 |
Disentangled Graph Self-supervised Learning for Out-of-Distribution Generalization Haoyang Li · Xin Wang · Zeyang Zhang · Haibo Chen · Ziwei Zhang · Wenwu Zhu |
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Poster
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Tue 2:30 |
Fine-grained Local Sensitivity Analysis of Standard Dot-Product Self-Attention Aaron Havens · Alexandre Araujo · Huan Zhang · Bin Hu |
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Workshop
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Benchmarking Robust Self-Supervised Learning Across Diverse Downstream Tasks Antoni Kowalczuk · Jan Dubiński · Atiyeh Ashari · yi sui · George Stein · Jiapeng Wu · Jesse Cresswell · Franziska Boenisch · Adam Dziedzic |
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Poster
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Thu 2:30 |
Exploring Correlations of Self-Supervised Tasks for Graphs Taoran Fang · Wei Chow · Yifei Sun · Kaiqiao Han · Lvbin Ma · Yang Yang |
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Poster
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Thu 2:30 |
AnyTool: Self-Reflective, Hierarchical Agents for Large-Scale API Calls YU DU · Fangyun Wei · Hongyang Zhang |
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Poster
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Tue 4:30 |
Visual Representation Learning with Stochastic Frame Prediction Huiwon Jang · Dongyoung Kim · Junsu Kim · Jinwoo Shin · Pieter Abbeel · Younggyo Seo |
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Poster
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Thu 2:30 |
EquiAV: Leveraging Equivariance for Audio-Visual Contrastive Learning Jongsuk Kim · Hyeongkeun Lee · Kyeongha Rho · Junmo Kim · Joon Son Chung |
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Poster
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Wed 4:30 |
Self-Attention through Kernel-Eigen Pair Sparse Variational Gaussian Processes Yingyi Chen · Qinghua Tao · Francesco Tonin · Johan Suykens |
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Workshop
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Probabilistic World Modeling with Asymmetric Distance Measure Meng Song |
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Workshop
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An Empirical Study into Clustering of Unseen Datasets with Self-Supervised Foundation Models Scott C. Lowe · Joakim Haurum · Sageev Oore · Thomas Moeslund · Graham Taylor |