Upload folder using huggingface_hub
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- LICENSE +201 -0
- README.md +19 -3
- model_checkpoints/.DS_Store +0 -0
- model_checkpoints/CAD/.DS_Store +0 -0
- model_checkpoints/CAD/DynamicTransformer_COS/.DS_Store +0 -0
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- model_checkpoints/PolyMNIST/DynamicTransformer_EU/checkpoint_best_acc.ckpt +3 -0
- model_checkpoints/PolyMNIST/DynamicTransformer_EU/gaussian/subset_gaussian_EU.pt +3 -0
- model_checkpoints/PolyMNIST/Imputer_CMVAE/model.pt +3 -0
- model_checkpoints/PolyMNIST/Imputer_MMVAE_Plus/model.pt +3 -0
- model_checkpoints/PolyMNIST/Imputer_MoPoE/mm_vae +3 -0
- upload_scripts.py +11 -0
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README.md
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<div align="center">
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<h1><a href="https://openreview.net/forum?id=PWhDUWRVhM¬eId=PWhDUWRVhM">Inference-Time Dynamic Modality Selection for Incomplete Multimodal Classification (ICLR 2026)</a></h1>
|
| 4 |
+
|
| 5 |
+
**[Siyi Du](https://scholar.google.com/citations?user=zsOt8MYAAAAJ&hl=en), [Xinzhe Luo](https://scholar.google.com/citations?user=l-oyIaAAAAAJ&hl=en&oi=ao), [Declan P. O'Regan](https://scholar.google.com/citations?user=85u-LbAAAAAJ&hl=en&oi=ao), and [Chen Qin](https://scholar.google.com/citations?view_op=list_works&hl=en&hl=en&user=mTWrOqHOqjoC&pagesize=80&sortby=pubdate)**
|
| 6 |
+
|
| 7 |
+
[](#License)
|
| 8 |
+
[](https://arxiv.org/abs/2601.22853)
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+
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+
</div>
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| 11 |
+
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| 12 |
+

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+
<p align="center">(a-b) Evidence of the discarding-imputation dilemma: (a-1) vs. (a-2) recovery-free methods (e.g., ModDrop) learn less discriminative features because they ignore highly task-relevant missing modalities {M,T}; (b) recovery-based methods (e.g., MoPoE) generate unreliable reconstructions, e.g., low-fidelity (orange) or misaligned (yellow). (c) Our DyMo, which addresses the dilemma by dynamically fusing task-relevant recovered modalities, improving accuracy by 1.61% on PolyMNIST, 1.68% on MST, and 3.88% on CelebA (Tab 1).</p>
|
| 14 |
+
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| 15 |
+
|
| 16 |
+
This repository provides **pretrained model checkpoints** for [Inference-Time Dynamic Modality Selection for Incomplete Multimodal Classification](https://openreview.net/forum?id=PWhDUWRVhM¬eId=PWhDUWRVhM).
|
| 17 |
+
|
| 18 |
+
For the **training code, evaluation scripts, and usage instructions**, please refer to the official GitHub repository:
|
| 19 |
+
👉 [https://github.com/siyi-wind/DyMo](https://github.com/siyi-wind/DyMo).
|
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size 85091
|
model_checkpoints/PolyMNIST/DynamicTransformer_EU/checkpoint_best_acc.ckpt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:32fd50ba7cefe6186637a7cc255d5dcaa500adfad58e9882d1dafbd845ff1373
|
| 3 |
+
size 11617893
|
model_checkpoints/PolyMNIST/DynamicTransformer_EU/gaussian/subset_gaussian_EU.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8f658deb4c2acf31d2e49e7e8bf64de7d59794c905de9ded7b5063183b45b901
|
| 3 |
+
size 88991
|
model_checkpoints/PolyMNIST/Imputer_CMVAE/model.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:36d81cf219aebe026d204af36ab2dbe91fff8972c300f58add6babd85c44af36
|
| 3 |
+
size 88772739
|
model_checkpoints/PolyMNIST/Imputer_MMVAE_Plus/model.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3b485abb5e89db1fe96972922a4e6d5e87e4ae6f6c763d5e03fcabbb68d3405c
|
| 3 |
+
size 88737765
|
model_checkpoints/PolyMNIST/Imputer_MoPoE/mm_vae
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b973407597151c0bc5f16dd182101f82c30e236074cb61b83f349009b23637f8
|
| 3 |
+
size 56264697
|
upload_scripts.py
ADDED
|
@@ -0,0 +1,11 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
from huggingface_hub import upload_folder
|
| 2 |
+
import os
|
| 3 |
+
current_dir = os.getcwd()
|
| 4 |
+
print(current_dir)
|
| 5 |
+
|
| 6 |
+
|
| 7 |
+
upload_folder(
|
| 8 |
+
folder_path=current_dir,
|
| 9 |
+
repo_id="siyiwind/DyMo",
|
| 10 |
+
repo_type="model"
|
| 11 |
+
)
|