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Model Architecture

4,354 papers

Papers per year

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Papers

UniPC: A Unified Predictor-Corrector Framework for Fast Sampling of Diffusion Models NIPS 2023
Coop: Memory is not a Commodity NIPS 2023
SyncDiffusion: Coherent Montage via Synchronized Joint Diffusions NIPS 2023
Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling NIPS 2023
Module-wise Training of Neural Networks via the Minimizing Movement Scheme NIPS 2023
A General Framework for Equivariant Neural Networks on Reductive Lie Groups NIPS 2023
Towards Anytime Classification in Early-Exit Architectures by Enforcing Conditional Monotonicity NIPS 2023
Residual Alignment: Uncovering the Mechanisms of Residual Networks NIPS 2023
Blurred-Dilated Method for Adversarial Attacks NIPS 2023
Path Regularization: A Convexity and Sparsity Inducing Regularization for Parallel ReLU Networks NIPS 2023
Scaling MLPs: A Tale of Inductive Bias NIPS 2023
Don’t just prune by magnitude! Your mask topology is a secret weapon NIPS 2023
Primal-Attention: Self-attention through Asymmetric Kernel SVD in Primal Representation NIPS 2023
Riemannian SAM: Sharpness-Aware Minimization on Riemannian Manifolds NIPS 2023
Deep Contract Design via Discontinuous Networks NIPS 2023
Dynamic Sparsity Is Channel-Level Sparsity Learner NIPS 2023
MG-ViT: A Multi-Granularity Method for Compact and Efficient Vision Transformers NIPS 2023
ScaleLong: Towards More Stable Training of Diffusion Model via Scaling Network Long Skip Connection NIPS 2023
Training-free Diffusion Model Adaptation for Variable-Sized Text-to-Image Synthesis NIPS 2023
Enhancing Sharpness-Aware Optimization Through Variance Suppression NIPS 2023
The expressive power of pooling in Graph Neural Networks NIPS 2023
Deep Fractional Fourier Transform NIPS 2023
Rethinking Bias Mitigation: Fairer Architectures Make for Fairer Face Recognition NIPS 2023
DAC-DETR: Divide the Attention Layers and Conquer NIPS 2023
Towards Stable Backdoor Purification through Feature Shift Tuning NIPS 2023