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Positional Information Matters for Invariant In-Context Learning: A Case Study of Simple Function Classes.

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Learning Neural Set Functions Under the Optimal Subset Oracle., , , , , and . NeurIPS, (2022)Not All Low-Pass Filters are Robust in Graph Convolutional Networks., , , , , , , and . NeurIPS, page 25058-25071. (2021)p-Laplacian Based Graph Neural Networks., , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 6878-6917. PMLR, (2022)From Sets to Multisets: Provable Variational Inference for Probabilistic Integer Submodular Models., , , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 8388-8397. PMLR, (2020)On Self-Distilling Graph Neural Network., , , , , and . IJCAI, page 2278-2284. ijcai.org, (2021)MoDNA: motif-oriented pre-training for DNA language model., , , , , , and . BCB, page 5:1-5:5. ACM, (2022)ImDrug: A Benchmark for Deep Imbalanced Learning in AI-aided Drug Discovery., , , , , , , , , and 4 other author(s). CoRR, (2022)Bundle CDN: A Highly Parallelized Approach for Large-Scale ℓ1-Regularized Logistic Regression., , , and . ECML/PKDD (3), volume 8190 of Lecture Notes in Computer Science, page 81-95. Springer, (2013)SyNDock: N Rigid Protein Docking via Learnable Group Synchronization., , , , and . CoRR, (2023)Curriculum Graph Poisoning., , , , , , and . WWW, page 2011-2021. ACM, (2023)