PACT
PACT: Parameterized Clipping Activation for Quantized Neural NetworksLLM quantization · first seen May 16, 2018
superseded — cited as a baseline and beaten by newer methods
1 papers critique it · 2 beat it on benchmarks
What papers say
Verbatim critique sentences, each from a paper that cites PACT as a baseline.
“For instance, the state-of-the-art PACT choi2018pact entails a minimum of $10^{8.12}$ iterations with $1.2M$ training samples to converge on ImageNet.”
— Reclaiming Residual Knowledge: A Novel Paradigm to Low-Bit Quantization
Beaten on benchmarks
Head-to-head results where a newer method reports beating PACT. Values are copied from the source paper's tables — verify against the cited paper.
- GABFusion: Rethinking Feature Fusion for Low-Bit Quantization of Multi-Task Networks
+ Ours beats PACT · mAP [YOLOv5s W4A4]
80.6 vs 79.1
- GABFusion: Rethinking Feature Fusion for Low-Bit Quantization of Multi-Task Networks
+ Ours beats PACT · mAP [YOLOv5s W3A3]
66.6 vs 62.9
- GABFusion: Rethinking Feature Fusion for Low-Bit Quantization of Multi-Task Networks
+ Ours beats PACT · mAP [YOLOv11s W4A4]
84.8 vs 83.8
- GABFusion: Rethinking Feature Fusion for Low-Bit Quantization of Multi-Task Networks
+ Ours beats PACT · mAP [YOLOv11s W3A3]
78.2 vs 75.1
- MEC-Quant: Maximum Entropy Coding for Extremely Low Bit Quantization-Aware Training
MEC-Qaunt (Setting (A)) beats PACT · Res18 [W/A 4/4]
90.22 vs 88.15
- MEC-Quant: Maximum Entropy Coding for Extremely Low Bit Quantization-Aware Training
MEC-Qaunt (Setting (A)) beats PACT · Res50 [W/A 4/4]
91.25 vs 85.27
- MEC-Quant: Maximum Entropy Coding for Extremely Low Bit Quantization-Aware Training
MEC-Qaunt (Setting (A)) beats PACT · MBV1 [W/A 4/4]
85.44 vs 80.77
- MEC-Quant: Maximum Entropy Coding for Extremely Low Bit Quantization-Aware Training
MEC-Qaunt (Setting (A)) beats PACT · MBV2 [W/A 4/4]
85.52 vs 79.88
- MEC-Quant: Maximum Entropy Coding for Extremely Low Bit Quantization-Aware Training
MEC-Qaunt (Setting (B)) beats PACT · Res18 [W/A 2/4]
89.98 vs 87.55
- MEC-Quant: Maximum Entropy Coding for Extremely Low Bit Quantization-Aware Training
MEC-Qaunt (Setting (B)) beats PACT · Res50 [W/A 2/4]
91.23 vs 85.24
- MEC-Quant: Maximum Entropy Coding for Extremely Low Bit Quantization-Aware Training
MEC-Qaunt (Setting (A)) beats PACT · MBV1 [W/A 2/4]
80.79 vs 69.04
- MEC-Quant: Maximum Entropy Coding for Extremely Low Bit Quantization-Aware Training
MEC-Qaunt (Setting (A)) beats PACT · MBV2 [W/A 2/4]
81.20 vs 67.18
Newer alternatives
Recent methods in the same sub-problem, not yet superseded in the knowledge base.
- Nov 8, 2025
- Sep 19, 2025