Privacy for Fairness: Information Obfuscation for Fair Representation Learning with Local Differential Privacyby Songjie Xie,…
Learning Interpretable Concepts: Unifying Causal Representation Learning and Foundation Modelsby Goutham Rajendran, Simon Buchholz, Bryon…
When Representations Align: Universality in Representation Learning Dynamicsby Loek van Rossem, Andrew M. SaxeFirst submitted…
Random Representations Outperform Online Continually Learned Representationsby Ameya Prabhu, Shiven Sinha, Ponnurangam Kumaraguru, Philip H.S.…
Disambiguated Node Classification with Graph Neural Networksby Tianxiang Zhao, Xiang Zhang, Suhang WangFirst submitted to…
Position: Topological Deep Learning is the New Frontier for Relational Learningby Theodore Papamarkou, Tolga Birdal,…
Auxiliary Reward Generation with Transition Distance Representation Learningby Siyuan Li, Shijie Han, Yingnan Zhao, By…
Self-Correcting Self-Consuming Loops for Generative Model Trainingby Nate Gillman, Michael Freeman, Daksh Aggarwal, Chia-Hong Hsu,…
An Empirical Study on the Power of Future Prediction in Partially Observable Environmentsby Jeongyeol Kwon,…
Topological Neural Networks: Mitigating the Bottlenecks of Graph Neural Networks via Higher-Order Interactionsby Lorenzo GiustiFirst…