-
- [ ] [[2202.12837] Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?](https://arxiv.org/abs/2202.12837)
# [2202.12837] Rethinking the Role of Demonstrations: What Makes In-…
-
gcn_output, logits = self.gcn(graph_batch.x, graph_batch.edge_index)
graph_batch.y = graph_batch.y.to(logits.device)
node_loss = ce_cri(logits, graph_batch.y)
The input of…
-
## 一言でいうと
クラス分類のタスクについて、マルチタスク+半教師ありを組み合わせた手法の提案。各タスクでラベル情報をEncodeした空間を共通で持ち、そこから各タスクに応じたラベルの予測を行う(主タスク)。同時にこのラベル空間を元にラベルなしデータへのラベルづけを行い、本体側の予測と比較する(補助タスク)
![image](https://user-images.githubuse…
-
# Sponsor
- VRCREW 엔지니어 채용
- [회사 페이지 링크](https://www.vrcrew.com/technology)
- [채용 공고 링크](https://www.vrcrew.com/careers)
- VRCREW 라이다 & 3D 스캐너 중고판매
![image](https://github.com/use…
-
A Deep learning based streamlit web app which can identify similar faces
Approach:
- using the MTCNN (Multi-task Cascaded Convolutional Networks) for face detection.
- using a pre-trained VGGFa…
-
I have a dataset with 4 channel input imagery, 2 labels set - one label set is in MS COCO JSON Format and another labels format is in TIF format.
The dataset is designed for instance segmentation mul…
-
## ざっくり言うと
- キーワード検索におけるランク学習と次のキーワードのsuggestionをmulti-taskで学習する
- 内部状態を共有してmulti-task学習することが両者の精度向上につながる
- 一連の検索の過程(session)をLSTMでencodingして,履歴を活かしたranking及びsuggestionを行なっている
- multi-task neural …
-
# 🚀 Feature request
## Motivation
## Your contribution
-
LREC-COLING:
- MentalRiskES: A New Corpus for Early Detection of Mental Disorders in Spanish
- MentalHelp: A Multi-Task Dataset for Mental Health in Social Media
- ESDM: Early Sensing Depression Mo…
-
Hello!
I am training a image classification model with multiple outputs:
```python
trained_model = tf.keras.applications.xception.Xception(
include_top=False,
weights='imagenet'…