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Model Architecture

4,351 papers

Papers per year

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Papers

Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning NIPS 2022
Neural Network Architecture Beyond Width and Depth NIPS 2022
Log-Polar Space Convolution Layers NIPS 2022
High-Order Pooling for Graph Neural Networks with Tensor Decomposition NIPS 2022
Non-deep Networks NIPS 2022
Mixture-of-Experts with Expert Choice Routing NIPS 2022
Path Independent Equilibrium Models Can Better Exploit Test-Time Computation NIPS 2022
Transform Once: Efficient Operator Learning in Frequency Domain NIPS 2022
Semantic Diffusion Network for Semantic Segmentation NIPS 2022
GhostNetV2: Enhance Cheap Operation with Long-Range Attention NIPS 2022
Parameter-Efficient Masking Networks NIPS 2022
On the Symmetries of Deep Learning Models and their Internal Representations NIPS 2022
NAS-Bench-360: Benchmarking Neural Architecture Search on Diverse Tasks NIPS 2022
Neural Circuit Architectural Priors for Embodied Control NIPS 2022
ZARTS: On Zero-order Optimization for Neural Architecture Search NIPS 2022
EfficientFormer: Vision Transformers at MobileNet Speed NIPS 2022
Increasing Confidence in Adversarial Robustness Evaluations NIPS 2022
Bridge the Gap Between Architecture Spaces via A Cross-Domain Predictor NIPS 2022
Signal Processing for Implicit Neural Representations NIPS 2022
Neural Matching Fields: Implicit Representation of Matching Fields for Visual Correspondence NIPS 2022
Do Current Multi-Task Optimization Methods in Deep Learning Even Help? NIPS 2022
Stochastic Adaptive Activation Function NIPS 2022
VTC-LFC: Vision Transformer Compression with Low-Frequency Components NIPS 2022
Rare Gems: Finding Lottery Tickets at Initialization NIPS 2022
Fast Vision Transformers with HiLo Attention NIPS 2022