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Neural Networks

11,300 papers

Papers per year

Papers

Complex-valued Neurons Can Learn More but Slower than Real-valued Neurons via Gradient Descent NIPS 2023
Learning a Neuron by a Shallow ReLU Network: Dynamics and Implicit Bias for Correlated Inputs NIPS 2023
Provable Advantage of Curriculum Learning on Parity Targets with Mixed Inputs NIPS 2023
Permutation Equivariant Neural Functionals NIPS 2023
RayDF: Neural Ray-surface Distance Fields with Multi-view Consistency NIPS 2023
The Simplicity Bias in Multi-Task RNNs: Shared Attractors, Reuse of Dynamics, and Geometric Representation NIPS 2023
Polynomially Over-Parameterized Convolutional Neural Networks Contain Structured Strong Winning Lottery Tickets NIPS 2023
NeRF Revisited: Fixing Quadrature Instability in Volume Rendering NIPS 2023
Wasserstein distributional robustness of neural networks NIPS 2023
High dimensional, tabular deep learning with an auxiliary knowledge graph NIPS 2023
Learning Space-Time Continuous Latent Neural PDEs from Partially Observed States NIPS 2023
DISCOVER: Making Vision Networks Interpretable via Competition and Dissection NIPS 2023
The Clock and the Pizza: Two Stories in Mechanistic Explanation of Neural Networks NIPS 2023
Leveraging sparse and shared feature activations for disentangled representation learning NIPS 2023
A Unified Framework for U-Net Design and Analysis NIPS 2023
What is the Inductive Bias of Flatness Regularization? A Study of Deep Matrix Factorization Models NIPS 2023
Two Sides of The Same Coin: Bridging Deep Equilibrium Models and Neural ODEs via Homotopy Continuation NIPS 2023
Learning Layer-wise Equivariances Automatically using Gradients NIPS 2023
Performance-optimized deep neural networks are evolving into worse models of inferotemporal visual cortex NIPS 2023
Efficient Beam Tree Recursion NIPS 2023
Battle of the Backbones: A Large-Scale Comparison of Pretrained Models across Computer Vision Tasks NIPS 2023
Implicit Bias of Gradient Descent for Two-layer ReLU and Leaky ReLU Networks on Nearly-orthogonal Data NIPS 2023
LithoBench: Benchmarking AI Computational Lithography for Semiconductor Manufacturing NIPS 2023
LightSpeed: Light and Fast Neural Light Fields on Mobile Devices NIPS 2023
Training biologically plausible recurrent neural networks on cognitive tasks with long-term dependencies NIPS 2023