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Model Compression

1,952 papers

Papers per year

6
114
489
'15
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'25

Papers

Functional Ensemble Distillation NIPS 2022
Spartan: Differentiable Sparsity via Regularized Transportation NIPS 2022
Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning NIPS 2022
Discovering and Overcoming Limitations of Noise-engineered Data-free Knowledge Distillation NIPS 2022
BiMLP: Compact Binary Architectures for Vision Multi-Layer Perceptrons NIPS 2022
Leveraging Inter-Layer Dependency for Post -Training Quantization NIPS 2022
BackdoorBench: A Comprehensive Benchmark of Backdoor Learning NIPS 2022
Symbolic Distillation for Learned TCP Congestion Control NIPS 2022
MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields NIPS 2022
Weighted Mutual Learning with Diversity-Driven Model Compression NIPS 2022
Dataset Inference for Self-Supervised Models NIPS 2022
PALBERT: Teaching ALBERT to Ponder NIPS 2022
Deep Compression of Pre-trained Transformer Models NIPS 2022
FP8 Quantization: The Power of the Exponent NIPS 2022
Provable Defense against Backdoor Policies in Reinforcement Learning NIPS 2022
DreamShard: Generalizable Embedding Table Placement for Recommender Systems NIPS 2022
Pruning has a disparate impact on model accuracy NIPS 2022
Information-Theoretic GAN Compression with Variational Energy-based Model NIPS 2022
Pre-activation Distributions Expose Backdoor Neurons 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
Redistribution of Weights and Activations for AdderNet Quantization NIPS 2022
On-Device Training Under 256KB Memory NIPS 2022
Online Deep Equilibrium Learning for Regularization by Denoising NIPS 2022
Deep Model Reassembly NIPS 2022