{"total":22,"rows":[{"id":"2310.01647","title":"Equivariant Adaptation of Large Pretrained Models","created":"2023-10-02","cited_by_count":41,"area":null},{"id":"2306.02866","title":"Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance","created":"2023-06-05","cited_by_count":26,"area":null},{"id":"2410.02698","title":"Lie Algebra Canonicalization: Equivariant Neural Operators under arbitrary Lie Groups","created":"2024-10-03","cited_by_count":24,"area":null},{"id":"2408.13242","title":"Improving Equivariant Model Training via Constraint Relaxation","created":"2024-08-23","cited_by_count":23,"area":null},{"id":"2403.03103","title":"Emergent Equivariance in Deep Ensembles","created":"2024-03-05","cited_by_count":18,"area":null},{"id":"2406.04064","title":"Ask LLMs Directly, \"What shapes your bias?\": Measuring Social Bias in Large Language Models","created":"2024-06-06","cited_by_count":14,"area":null},{"id":"2410.17878","title":"Relaxed Equivariance via Multitask Learning","created":"2024-10-23","cited_by_count":13,"area":null},{"id":"2305.09900","title":"Efficient Equivariant Transfer Learning from Pretrained Models","created":"2023-05-17","cited_by_count":11,"area":null},{"id":"2308.03312","title":"Exploiting Code Symmetries for Learning Program Semantics","created":"2023-08-07","cited_by_count":10,"area":null},{"id":"2306.02840","title":"Learning to Substitute Spans towards Improving Compositional Generalization","created":"2023-06-05","cited_by_count":8,"area":null},{"id":"2405.14089","title":"Improved Canonicalization for Model Agnostic Equivariance","created":"2024-05-23","cited_by_count":7,"area":null},{"id":"2311.07143","title":"Learning Symmetrization for Equivariance with Orbit Distance Minimization","created":"2023-11-13","cited_by_count":4,"area":null},{"id":"2406.06504","title":"Equivariant Neural Tangent Kernels","created":"2024-06-10","cited_by_count":4,"area":null},{"id":"2506.16189","title":"CP$^2$: Leveraging Geometry for Conformal Prediction via Canonicalization","created":"2025-06-19","cited_by_count":2,"area":null},{"id":"2508.14187","title":"Local Scale Equivariance with Latent Deep Equilibrium Canonicalizer","created":"2025-08-19","cited_by_count":2,"area":null},{"id":"2310.09675","title":"Efficient Model-Agnostic Multi-Group Equivariant Networks","created":"2023-10-14","cited_by_count":1,"area":null},{"id":"2402.15413","title":"G-RepsNet: A Fast and General Construction of Equivariant Networks for Arbitrary Matrix Groups","created":"2024-02-23","cited_by_count":1,"area":null},{"id":"2502.20834","title":"Learning to Substitute Components for Compositional Generalization","created":"2025-02-28","cited_by_count":1,"area":null},{"id":"2507.14793","title":"Flow Equivariant Recurrent Neural Networks","created":"2025-07-20","cited_by_count":1,"area":null},{"id":"2406.04876","title":"HateDebias: On the Diversity and Variability of Hate Speech Debiasing","created":"2024-06-07","cited_by_count":0,"area":null},{"id":"2603.26657","title":"Tunable Soft Equivariance with Guarantees","created":"2026-03-27","cited_by_count":0,"area":null},{"id":"2606.02079","title":"FACT: A Simple and Efficient Framework for Active Finetuning","created":"2026-06-01","cited_by_count":0,"area":null}],"next_cursor":null}