Deep Multi-view Subspace Clustering with Anchor GraphDMCAGIJCAI 2023- Incomplete Multi-view Clustering via Prototype-based ImputationProImpIJCAI 2023- Dual Mutual Information Constraints for Discriminative Clus
Efficient Deep Embedded Subspace Clustering Jinyu Cai1,3, Jicong Fan2,3∗, Wenzhong Guo1, Shiping Wang1, Yunhe Zhang1, Zhao Zhang4 1College of Computer and Data Science, Fuzhou University, China 2School of Data Science, The Chinese University of Hong Kong (Shenzhen), China 3Shenzhen ...
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PyTorch implementation of DML. Citation Please cite our paper if you use the results of our work. @article{sadeghi2022deep, title={Deep Multi-Representation Learning for Data Clustering}, author={Sadeghi, Mohammadreza and Armanfard, Narges}, journal={IEEE Transactions on Neural Networks and Learnin...
Our model is implemented using PyTorch 1.7.1 and trained on a desktop computer equipped with an NVIDIA GeForce RTX 3080 and 64GB RAM. We utilize the Adam optimizer with its default parameters. 4.2. Compared Methods We conducted a comparison of CTCC...
The models are implemented in PyTorch. For the baseline models, we consider the vanilla DeepEmoCluster (Lin et al., 2021). In addition, we also implement conventional reconstruction-based SSL frameworks for SER using AE, VAE, and LadderNet. These models have an encoder–decoder architecture ...
我们提供了全 面的经验证据说明这些残差网络很容易优化,并可以显著增加深度来 提高准确性。在 ImageNet 数据集上我们评估了深度高达 152 层的残 差网络——比 VGG[40]深 8 倍但仍具有较低的复杂度。这些残差网络 的集合在 ImageNet 测试集上取得了 3.57%的错误率。这个结果在 ILSVRC 2015 分类任务上赢得了第...
A. Paszke, S. Gross, F. Massa, A. Lerer, J. Bradbury, G. Chanan, T. Killeen, Z. M. Lin, N. Gimelshein, L. Antiga, A. Desmaison, A. Köpf, E. Yang, Z. DeVito, M. Raison, A. Tejani, S. Chilamkurthy, B. Steiner, L. Fang, J. J. Bai, S. Chintala. PyTorch: An...
#1] [PyTorch Reimpl. #2] 2017-ICLR-Pruning Convolutional Neural Networks for Resource Efficient Inference 2017-ICLR-Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights [Code] 2017-ICLR-Do Deep Convolutional Nets Really Need to be Deep and Convolutional? 2017-ICLR-DSD...
https://github.com/lucidrains/self-rewarding-lm-pytorch A couple of more recent related papers: Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models https://arxiv.org/pdf/2401.01335v1.pdf and Self-Rewarding Language Models https://arxiv.org/pdf/2401.10020.pdf Tuesday...