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"Leveraging Lexical Resources for Learning Entity Embeddings in Multi-Relational Data". ACL 2016. paper (TransG) Han Xiao, Minlie Huang, Xiaoyan Zhu. "TransG: A Generative Model for Knowledge Graph Embedding". ACL 2016. paper code 🔥 ICML (ComplEx) Théo Trouillon, Johannes Welbl, Sebastian...
For example, in a problem where there is a large class imbalance, a model can predict the value of the majority class for all predictions and achieve a high classification accuracy, the problem is that this model is not useful in the problem domain. As we saw in our breast cancer example...
Both PyTorch and TensorFlow do basically the same thing (they're a framework for linear algebra + acceleration on GPU and TPU) - we support both, but you only need one! If PyTorch is easier to get working on your system then it's totally fine to just use it instead. ...
Hence, to train object detectors using SBIR, we also need to bridge the gap between object and image-level features. Towards this, we use a data augmenta- tion trick that is embarrassingly simple yet highly effective for robustness towards corruption and generalisation to out- of-voca...
(\tau _1\)are hyperparameters of the loss function. The first term corresponds to a cross-entropy loss function over the softmax function applied to the negative spike times (we use negative spike times as the class assignment is determined by the smallest spike time) and encourages an ...
We can also use the effective number [11] instead of nrk, which is defined as E(k) = \frac {(1 - \beta ^{n_k})}{(1-\beta )}, (3) where β = (N − 1)/N . Since CMO is a new approach for long-tailed classification, it is hard to ...
We can also use transformers for text summarization. In the example below, I used the T5 transformer to summarize Winston Churchill’s famous “Never Give In” speech in 1941 during one of the darkest times in World War II. from transformers import pipelinesummarizer = pipeline('summarization',...
For face detection, we have a .pb file- this is a protobuf file (protocol buffer); it holds the graph definition and the trained weights of the model. We can use this to run the trained model. And while a .pb file holds the protobuf in binary format, one with the .pbtxt extension...
axis: the axis or axes along which thelog_softmaxshould be computed. Either an integer or a tuple of integers. and an array is returned. Inside this function we go further down the lane to: lax.stop_gradient- is the identity function, that is, it returns argumentxunchanged. However,stop...