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Model Compression

1,785 papers

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Papers

Rare Gems: Finding Lottery Tickets at Initialization NIPS 2022
FP8 Quantization: The Power of the Exponent NIPS 2022
Compressible-composable NeRF via Rank-residual Decomposition NIPS 2022
Advancing Model Pruning via Bi-level Optimization NIPS 2022
UDC: Unified DNAS for Compressible TinyML Models for Neural Processing Units NIPS 2022
Lottery Tickets on a Data Diet: Finding Initializations with Sparse Trainable Networks NIPS 2022
Layer Freezing & Data Sieving: Missing Pieces of a Generic Framework for Sparse Training NIPS 2022
A Win-win Deal: Towards Sparse and Robust Pre-trained Language Models NIPS 2022
Low-rank lottery tickets: finding efficient low-rank neural networks via matrix differential equations NIPS 2022
Towards Efficient 3D Object Detection with Knowledge Distillation NIPS 2022
Entropy-Driven Mixed-Precision Quantization for Deep Network Design NIPS 2022
To update or not to update? Neurons at equilibrium in deep models NIPS 2022
One-shot Neural Backdoor Erasing via Adversarial Weight Masking NIPS 2022
On-Device Training Under 256KB Memory NIPS 2022
Deep Model Reassembly NIPS 2022
TREC: Transient Redundancy Elimination-based Convolution NIPS 2022
Knowledge Distillation: Bad Models Can Be Good Role Models NIPS 2022
Back Razor: Memory-Efficient Transfer Learning by Self-Sparsified Backpropagation NIPS 2022
GPT3.int8(): 8-bit Matrix Multiplication for Transformers at Scale NIPS 2022
Get More at Once: Alternating Sparse Training with Gradient Correction NIPS 2022
Make Sharpness-Aware Minimization Stronger: A Sparsified Perturbation Approach NIPS 2022
Teach Less, Learn More: On the Undistillable Classes in Knowledge Distillation NIPS 2022
Recall Distortion in Neural Network Pruning and the Undecayed Pruning Algorithm NIPS 2022
The trade-offs of model size in large recommendation models : 100GB to 10MB Criteo-tb DLRM model NIPS 2022
Fairness Reprogramming NIPS 2022