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Neural Networks

79 papers

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Papers

Shallow Neural Networks Learn Low-Degree Spherical Polynomials with Feature Learning by Learnable Channel Attention ALT 2026
Formal Synthesis of Barrier Certificates Using Fourier Kolmogorov-Arnold Network AAAI 2025
Universality of Real Minimal Complexity Reservoir AAAI 2025
Layered-Parameter Perturbation for Zeroth-Order Optimization of Optical Neural Networks AAAI 2025
Neural Networks Perform Sufficient Dimension Reduction AAAI 2025
Associative Transformer CVPR 2025
LoRACoE: Improving Large Language Model via Composition-based LoRA Expert EMNLP 2025
SpiLiFormer: Enhancing Spiking Transformers with Lateral Inhibition ICCV 2025
Better by default: Strong pre-tuned MLPs and boosted trees on tabular data NIPS 2024
Exact Gradients for Stochastic Spiking Neural Networks Driven by Rough Signals NIPS 2024
Monomial Matrix Group Equivariant Neural Functional Networks NIPS 2024
Nature-Inspired Local Propagation NIPS 2024
Training Binary Neural Networks via Gaussian Variational Inference and Low-Rank Semidefinite Programming NIPS 2024
Back to the Continuous Attractor NIPS 2024
Partial observation can induce mechanistic mismatches in data-constrained models of neural dynamics NIPS 2024
A provable control of sensitivity of neural networks through a direct parameterization of the overall bi-Lipschitzness NIPS 2024
Global Distortions from Local Rewards: Neural Coding Strategies in Path-Integrating Neural Systems NIPS 2024
Improving Neural Network Generalization on Data-Limited Regression with Doubly-Robust Boosting AAAI 2024
Neurons in Large Language Models: Dead, N-gram, Positional ACL 2024
Guiding GBFS through Learned Pairwise Rankings IJCAI 2024
On Sparse Modern Hopfield Model NIPS 2023
Training shallow ReLU networks on noisy data using hinge loss: when do we overfit and is it benign? NIPS 2023
Deep Reinforcement Learning with Plasticity Injection NIPS 2023
Training Neural Networks is NP-Hard in Fixed Dimension NIPS 2023
CORNN: Convex optimization of recurrent neural networks for rapid inference of neural dynamics NIPS 2023