representational learning

Beyond World Models: Rethinking Understanding in AI Models AAAI 2026 Compress to One Point: Neural Collapse for Pre-Trained Model-Based Class-Incremental Learning AAAI 2025 Deep Change Monitoring: A Hyperbolic Representative Learning Framework and a Dataset for Long-term Fine-grained Tree Change Detection CVPR 2025 A Graph per Persona: Reasoning about Subjective Natural Language Descriptions ACL 2024 A theoretical design of concept sets: improving the predictability of concept bottleneck models NeurIPS 2024 Data-Efficient Contrastive Self-supervised Learning: Most Beneficial Examples for Supervised Learning Contribute the Least ICML 2023 Not All Semantics are Created Equal: Contrastive Self-supervised Learning with Automatic Temperature Individualization ICML 2023 Curriculum learning as a tool to uncover learning principles in the brain ICLR 2022 PMAL: Open Set Recognition via Robust Prototype Mining AAAI 2022 Self-Supervised Models of Audio Effectively Explain Human Cortical Responses to Speech ICML 2022 Learning a Self-Expressive Network for Subspace Clustering CVPR 2021 Avoiding Latent Variable Collapse with Generative Skip Models AISTATS 2019 Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations ICML 2019 Improved Generalization of Arabic Text Classifiers ACL 2019