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Efficient Computing

6,876 papers

Papers per year

Papers

GPT3.int8(): 8-bit Matrix Multiplication for Transformers at Scale NIPS 2022
Look More but Care Less in Video Recognition NIPS 2022
Get More at Once: Alternating Sparse Training with Gradient Correction NIPS 2022
Learning a Condensed Frame for Memory-Efficient Video Class-Incremental Learning NIPS 2022
Unifying and Boosting Gradient-Based Training-Free Neural Architecture Search NIPS 2022
New Definitions and Evaluations for Saliency Methods: Staying Intrinsic, Complete and Sound NIPS 2022
MorphTE: Injecting Morphology in Tensorized Embeddings NIPS 2022
DropCov: A Simple yet Effective Method for Improving Deep Architectures NIPS 2022
The trade-offs of model size in large recommendation models : 100GB to 10MB Criteo-tb DLRM model NIPS 2022
VoxGRAF: Fast 3D-Aware Image Synthesis with Sparse Voxel Grids NIPS 2022
AutoMTL: A Programming Framework for Automating Efficient Multi-Task Learning NIPS 2022
Q-ViT: Accurate and Fully Quantized Low-bit Vision Transformer NIPS 2022
SInGE: Sparsity via Integrated Gradients Estimation of Neuron Relevance NIPS 2022
Expediting Large-Scale Vision Transformer for Dense Prediction without Fine-tuning NIPS 2022
Fast Neural Kernel Embeddings for General Activations NIPS 2022
A Multilabel Classification Framework for Approximate Nearest Neighbor Search NIPS 2022
Not All Bits have Equal Value: Heterogeneous Precisions via Trainable Noise NIPS 2022
Data-Efficient Structured Pruning via Submodular Optimization NIPS 2022
Latency-aware Spatial-wise Dynamic Networks NIPS 2022
ClimbQ: Class Imbalanced Quantization Enabling Robustness on Efficient Inferences NIPS 2022
PhysGNN: A Physics--Driven Graph Neural Network Based Model for Predicting Soft Tissue Deformation in Image--Guided Neurosurgery NIPS 2022
Degradation-Aware Unfolding Half-Shuffle Transformer for Spectral Compressive Imaging NIPS 2022
Pruning’s Effect on Generalization Through the Lens of Training and Regularization NIPS 2022
Pruning Neural Networks via Coresets and Convex Geometry: Towards No Assumptions NIPS 2022
Scalable and Efficient Training of Large Convolutional Neural Networks with Differential Privacy NIPS 2022