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Theory

1072 directly classified papers

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Papers

Scalable Partial Explainability in Neural Networks via Flexible Activation Functions (Student Abstract) AAAI 2021
Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning ACL 2021
How Many Layers and Why? An Analysis of the Model Depth in Transformers ACL 2021
Passive Inter-Photon Imaging CVPR 2021
The Neural Tangent Link Between CNN Denoisers and Non-Local Filters CVPR 2021
Positional Encoding As Spatial Inductive Bias in GANs CVPR 2021
Architectural Adversarial Robustness: The Case for Deep Pursuit CVPR 2021
Guided Integrated Gradients: An Adaptive Path Method for Removing Noise CVPR 2021
Hybrid Rotation Averaging: A Fast and Robust Rotation Averaging Approach CVPR 2021
An Information-Theoretic Characterization of Morphological Fusion EMNLP 2021
Expected Validation Performance and Estimation of a Random Variable’s Maximum EMNLP 2021
Overparameterization Improves Robustness to Covariate Shift in High Dimensions NIPS 2021
Rethinking the Variational Interpretation of Accelerated Optimization Methods NIPS 2021
A Central Limit Theorem for Differentially Private Query Answering NIPS 2021
Embedding Principle of Loss Landscape of Deep Neural Networks NIPS 2021
Analytic Study of Families of Spurious Minima in Two-Layer ReLU Neural Networks: A Tale of Symmetry II NIPS 2021
A Theoretical Analysis of Fine-tuning with Linear Teachers NIPS 2021
Linear Convergence of Gradient Methods for Estimating Structured Transition Matrices in High-dimensional Vector Autoregressive Models NIPS 2021
On Linear Stability of SGD and Input-Smoothness of Neural Networks NIPS 2021
Topological Detection of Trojaned Neural Networks NIPS 2021
The Implicit Bias of Minima Stability: A View from Function Space NIPS 2021
On the Frequency Bias of Generative Models NIPS 2021
Training Neural Networks is ER-complete NIPS 2021
Relative Flatness and Generalization NIPS 2021
On the Sample Complexity of Learning under Geometric Stability NIPS 2021