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