adabits: neural network quantization with adaptive bit-widths
Published 4 years ago • 226 plays • Length 1:01Download video MP4
Download video MP3
Similar videos
-
8:17
improved techniques for quantizing deep networks with adaptive bit-widths
-
3:10
on quantizing implicit neural representations
-
1:01
adaptive loss-aware quantization for multi-bit networks
-
4:04
neural network quantization with adaround
-
1:01
automatic neural network compression by sparsity-quantization joint learning: a constrained...
-
3:53
deep learning with low precision by half-wave gaussian quantization | spotlight 4-1a
-
4:01
spiq: data-free static per-channel input quantization
-
1:01
apq: joint search for network architecture, pruning and quantization policy
-
4:00
collaborative multi-teacher knowledge distillation for learning low bit-width deep neural networks
-
1:01:20
tinyml talks: a practical guide to neural network quantization
-
1:00
neural architecture search for lightweight non-local networks
-
3:04
module-wise network quantization for 6d object pose estimation
-
13:04
quantization in deep learning (llms)
-
6:12
hessian aware quantization v3: dyadic neural network quantization