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Neural Networks

11,300 papers

Papers per year

Papers

Learning Label Encodings for Deep Regression ICLR 2023
Global optimality of Elman-type RNNs in the mean-field regime ICML 2023
Nonlinear Advantage: Trained Networks Might Not Be As Complex as You Think ICML 2023
Interpretable Neural-Symbolic Concept Reasoning ICML 2023
Fast as CHITA: Neural Network Pruning with Combinatorial Optimization ICML 2023
Continuously Parameterized Mixture Models ICML 2023
Polyhedral Complex Extraction from ReLU Networks using Edge Subdivision ICML 2023
Invariant Slot Attention: Object Discovery with Slot-Centric Reference Frames ICML 2023
What Can Be Learnt With Wide Convolutional Neural Networks? ICML 2023
Multi-Layer Neural Networks as Trainable Ladders of Hilbert Spaces ICML 2023
Trompt: Towards a Better Deep Neural Network for Tabular Data ICML 2023
HarsanyiNet: Computing Accurate Shapley Values in a Single Forward Propagation ICML 2023
Fisher Information Embedding for Node and Graph Learning ICML 2023
How to address monotonicity for model risk management? ICML 2023
Tight Certification of Adversarially Trained Neural Networks via Nonconvex Low-Rank Semidefinite Relaxations ICML 2023
Patch-level Routing in Mixture-of-Experts is Provably Sample-efficient for Convolutional Neural Networks ICML 2023
What do CNNs Learn in the First Layer and Why? A Linear Systems Perspective ICML 2023
A Toy Model of Universality: Reverse Engineering how Networks Learn Group Operations ICML 2023
Spatial Implicit Neural Representations for Global-Scale Species Mapping ICML 2023
IRNeXt: Rethinking Convolutional Network Design for Image Restoration ICML 2023
Efficient Bound of Lipschitz Constant for Convolutional Layers by Gram Iteration ICML 2023
Surrogate Module Learning: Reduce the Gradient Error Accumulation in Training Spiking Neural Networks ICML 2023
Efficient Parametric Approximations of Neural Network Function Space Distance ICML 2023
Scaling Spherical CNNs ICML 2023
Neural Status Registers ICML 2023