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The TCN model and the max-pooling loss are basically the same as the one used inside Mobvoi.
Also, one of the contributors did his internship at Mobvoi.
I would recommend adding acknowledgement t…
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These show typical hashrate jumps when difficulty accidentally falls about 20% low. The **magenta spikes** are when the avg of 11 solvetimes were > 2.1x faster than the target, indicating a large inc…
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Hey Nils
Can you share the hyperparameters for the msmarco-MiniLM-L6-cos-v5 model and script call as well? I assume you used the train_bi-encoder_mnrl.py.
I'm trying to reproduce it but I'm not even…
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- [ ] Fig 12 has to be unified in the same style as the rest of the paper.
Please use the style used by Dave Luo in Figure 5
- Reviewers Notes (Please clarify these in your section content and…
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I believe it's time to seriously review the proof of work algorithm used in Monero in light of the very serious consequences we have all witness with mining centralization in the Bitcoin community.
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I am unable to understand how the boundary of single exemplar classifier is shifted and scaled in calibration. Could you please elaborate?
Thanks
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![image](https://user-images.githubusercontent.com/25037295/45598928-bd6e4480-ba15-11e8-96f8-bb080a4bb0a5.png)
Launch script:
```
@echo off
xmrig-nvidia.exe -l cuda.log --donate-level 0 --cuda-b…
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facenet use triplet-loss to train net,minimizes the distance between anchor and a positive,maximizes the distance between anchor and a negative of a different identity.
while the network is training,…
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Epoch 1/60
97/97 [==============================] - 24s - loss: 1.0072 - mAP: 0.1649 - val_loss: 0.9624 - val_mAP: 0.1296
Epoch 2/60
97/97 [==============================] - 22s - loss: 1.0060 - …