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Neural Network Optimization

3,648 papers

Papers per year

Papers

TORE: Token Reduction for Efficient Human Mesh Recovery with Transformer ICCV 2023
Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks ICCV 2023
Generalized Differentiable RANSAC ICCV 2023
Extensible and Efficient Proxy for Neural Architecture Search ICCV 2023
Clusterformer: Cluster-based Transformer for 3D Object Detection in Point Clouds ICCV 2023
Flatness-Aware Minimization for Domain Generalization ICCV 2023
MixPath: A Unified Approach for One-shot Neural Architecture Search ICCV 2023
Enhancing NeRF akin to Enhancing LLMs: Generalizable NeRF Transformer with Mixture-of-View-Experts ICCV 2023
Task-aware Adaptive Learning for Cross-domain Few-shot Learning ICCV 2023
Growing a Brain with Sparsity-Inducing Generation for Continual Learning ICCV 2023
Algebraically Rigorous Quaternion Framework for the Neural Network Pose Estimation Problem ICCV 2023
Adaptive Rotated Convolution for Rotated Object Detection ICCV 2023
Sensitivity-Aware Visual Parameter-Efficient Fine-Tuning ICCV 2023
FBLNet: FeedBack Loop Network for Driver Attention Prediction ICCV 2023
RecursiveDet: End-to-End Region-Based Recursive Object Detection ICCV 2023
Rapid Network Adaptation: Learning to Adapt Neural Networks Using Test-Time Feedback ICCV 2023
Domain Generalization Guided by Gradient Signal to Noise Ratio of Parameters ICCV 2023
Adaptive Positional Encoding for Bundle-Adjusting Neural Radiance Fields ICCV 2023
SAM operates far from home: eigenvalue regularization as a dynamical phenomenon ICML 2023
Second-order regression models exhibit progressive sharpening to the edge of stability ICML 2023
Nonlinear Advantage: Trained Networks Might Not Be As Complex as You Think ICML 2023
A Modern Look at the Relationship between Sharpness and Generalization ICML 2023
SGD with Large Step Sizes Learns Sparse Features ICML 2023
SGD with AdaGrad Stepsizes: Full Adaptivity with High Probability to Unknown Parameters, Unbounded Gradients and Affine Variance ICML 2023
Beyond the Universal Law of Robustness: Sharper Laws for Random Features and Neural Tangent Kernels ICML 2023