Our paper is accepted by ICLR 2023

Our paper is accepted by ICLR 2023

Author: nightsnack

README.md

@@ -4,11 +4,15 @@ This repo is the official implementation of:
 ### [Reversible Column Networks](https://arxiv.org/abs/2212.11696)
 [Yuxuan Cai](https://nightsnack.github.io), [Yizhuang Zhou](https://scholar.google.com/citations?user=VRSGDDEAAAAJ), [Qi Han](https://hanqer.github.io), Jianjian Sun, Xiangwen Kong, Jun Li, [Xiangyu Zhang](https://scholar.google.com/citations?user=yuB-cfoAAAAJ) \
 [MEGVII Technology](https://en.megvii.com)\
+International Conference on Learning Representations (ICLR) 2023\
 [\[arxiv\]](https://arxiv.org/abs/2212.11696) 
 
 
 
 ## Updates
+***1/21/2023***\
+RevCol was accepted by ICLR 2023!
+
 ***12/23/2022***\
 Initial commits: codes for ImageNet-1k and ImageNet-22k classification are released.
 
@@ -62,10 +66,11 @@ If you have any questions about this repo or the original paper, please contact
 
 ## Citation
 ```
-@article{cai2022reversible,
+@inproceedings{cai2022reversible,
   title={Reversible Column Networks},
   author={Cai, Yuxuan and Zhou, Yizhuang and Han, Qi and Sun, Jianjian and Kong, Xiangwen and Li, Jun and Zhang, Xiangyu},
-  journal={arXiv preprint arXiv:2212.11696},
-  year={2022}
+  booktitle={International Conference on Learning Representations},
+  year={2023},
+  url={https://openreview.net/forum?id=Oc2vlWU0jFY}
 }
 ```

optimizer.py

@@ -124,7 +124,7 @@ def param_groups_lrd(model, weight_decay=0.05, no_weight_decay_list=[], layer_de
 def get_layer_id(n, dp, layers):
     if n.startswith("subnet"):
         name_part = n.split('.')
-        subnet = int(name_part[0][-1])
+        subnet = int(name_part[0][6:])
         if name_part[1].startswith("alpha"):
             id = dp[0][subnet]
         else: