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Neural Networks

11,300 papers

Papers per year

Papers

Data Representations’ Study of Latent Image Manifolds ICML 2023
Neural Wave Machines: Learning Spatiotemporally Structured Representations with Locally Coupled Oscillatory Recurrent Neural Networks ICML 2023
CrossSplit: Mitigating Label Noise Memorization through Data Splitting ICML 2023
Trainability, Expressivity and Interpretability in Gated Neural ODEs ICML 2023
Controlling Posterior Collapse by an Inverse Lipschitz Constraint on the Decoder Network ICML 2023
On Computing Optimal Tree Ensembles ICML 2023
Masked Bayesian Neural Networks : Theoretical Guarantee and its Posterior Inference ICML 2023
Benign Overfitting in Two-layer ReLU Convolutional Neural Networks ICML 2023
H-Likelihood Approach to Deep Neural Networks with Temporal-Spatial Random Effects for High-Cardinality Categorical Features ICML 2023
On the Correctness of Automatic Differentiation for Neural Networks with Machine-Representable Parameters ICML 2023
TIPS: Topologically Important Path Sampling for Anytime Neural Networks ICML 2023
Minimum Width of Leaky-ReLU Neural Networks for Uniform Universal Approximation ICML 2023
FAIRER: Fairness as Decision Rationale Alignment ICML 2023
How Powerful are Shallow Neural Networks with Bandlimited Random Weights? ICML 2023
Architecture-Agnostic Masked Image Modeling -- From ViT back to CNN ICML 2023
Conformal Inference is (almost) Free for Neural Networks Trained with Early Stopping ICML 2023
Unveiling The Mask of Position-Information Pattern Through the Mist of Image Features ICML 2023
Can Neural Network Memorization Be Localized? ICML 2023
Neural Network Approximations of PDEs Beyond Linearity: A Representational Perspective ICML 2023
Optimal Sets and Solution Paths of ReLU Networks ICML 2023
The Numerical Stability of Hyperbolic Representation Learning ICML 2023
A Fast, Well-Founded Approximation to the Empirical Neural Tangent Kernel ICML 2023
Neural signature kernels as infinite-width-depth-limits of controlled ResNets ICML 2023
Equivariant Architectures for Learning in Deep Weight Spaces ICML 2023
Building Neural Networks on Matrix Manifolds: A Gyrovector Space Approach ICML 2023