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Theory

5,579 papers

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Papers

On the Faithfulness of Vision Transformer Explanations CVPR 2024 On the Generalization of Equivariant Graph Neural Networks ICML 2024 On the Generalization of Stochastic Gradient Descent with Momentum JMLR 2024 On the Identifiability of Hybrid Deep Generative Models: Meta-Learning as a Solution NeurIPS 2024 On the Identifiability of Quantized Factors CLeaR 2024 On the Impact of Overparameterization on the Training of a Shallow Neural Network in High Dimensions AISTATS 2024 On the Impacts of the Random Initialization in the Neural Tangent Kernel Theory NeurIPS 2024 On the (In)feasibility of ML Backdoor Detection as an Hypothesis Testing Problem AISTATS 2024 On the Intrinsic Structures of Spiking Neural Networks JMLR 2024 On the Learnability of Out-of-distribution Detection JMLR 2024 On the Limitations of Fractal Dimension as a Measure of Generalization NeurIPS 2024 On the Minimal Degree Bias in Generalization on the Unseen for non-Boolean Functions ICML 2024 On the Misspecification of Linear Assumptions in Synthetic Controls AISTATS 2024 On the Optimality of Misspecified Spectral Algorithms JMLR 2024 On the Outcome Equivalence of Extensive-Form and Behavioral Correlated Equilibria AAAI 2024 On the Parameter Identifiability of Partially Observed Linear Causal Models NeurIPS 2024 On the Power of the Weisfeiler-Leman Test for Graph Motif Parameters ICLR 2024 On the Representational Capacity of Neural Language Models with Chain-of-Thought Reasoning ACL 2024 On the Robustness of Spectral Algorithms for Semirandom Stochastic Block Models NeurIPS 2024 On the Role of Attention Masks and LayerNorm in Transformers NeurIPS 2024 On the Saturation Effects of Spectral Algorithms in Large Dimensions NeurIPS 2024 On the Scaling Laws of Geographical Representation in Language Models COLING 2024 On the Stability and Generalization of Meta-Learning NeurIPS 2024 On the Stability of Expressive Positional Encodings for Graphs ICLR 2024 On the Stability of Iterative Retraining of Generative Models on their own Data ICLR 2024