, 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠 machine-learning reinforcement-learning deep-learning transformers pytorch transformer gan neural-networks literate-programming attention lora deep-learning-tutorial optimizers Updated Aug 24, 2024 Python ddbourgin / numpy-ml ...
have achieved outstanding success. However, since the relation modeling between windows was not the primary emphasis of previous work, it was not fully utilized. To address this issue, we propose a Graph-Segmenter, including
Logic Attention Based Neighborhood Aggregation for Inductive Knowledge Graph Embedding Peifeng Wang, Jialong Han, Chenliang Li, Rong Pan, AAAI, 2019. Cross-relation Cross-bag Attention for Distantly-supervised Relation Extraction Yujin Yuan, Liyuan Liu, Siliang Tang, Zhongfei Zhang, Yueting Zhuang, Sh...
our objective is to ascertain whether the sentence implies a specific relation between the two entities. But, due to the differences in training data and specific tasks, the
where \(dlw\) is a hyperparameter used to adjust the distillation weight, thereby controlling the relative weighting between the two loss terms, striking a balance between them. A larger distillation weight places more emphasis on the knowledge from the teacher model, whereas a smaller distillation...
Visual attentive tracking requires a balance of excitation and inhibition across large-scale frontoparietal cortical networks. Using methods borrowed from network science, we characterize the induced changes in network dynamics following low frequency (1
Temporal event prediction Hierarchical embeddings Graph neural networks Clinical notes Sorry, something went wrong. Please try again and make sure cookies are enabled Data availability We used publicly available data and gave a reference to it in our paper.References...
While deep learning has become the go-to method for image denoising due to its impressive noise removal capabilities, excessive network depth often plagues existing approaches, leading to significant computational burdens. To address this critical bottleneck, we propose a novel lightweight progressive res...
cViL: "cViL: Cross-Lingual Training of Vision-Language Models using Knowledge Distillation", ICPR, 2022 (IIIT, Hyderabad). [Paper] ?: "Weakly Supervised Grounding for VQA in Vision-Language Transformers", ECCV, 2022 (UCF). [Paper][PyTorch (in construction)] VGT: "Video Graph Transformer for...
H. Saliency detection via graph-based manifold ranking. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 3166–3173, 2013. Li, Y.; Hou, X. D.; Koch, C.; Rehg, J. M.; Yuille, A. L. The secrets of salient object segmentation. In: Proceedings of ...