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I was unable to run the experiments in this [folder](https://github.com/google-research/google-research/tree/master/local_forward_gradient).
I installed all the requirements mentioned in the requir…
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Hey @JegZheng
I implemented this repo but could not find any code to train any self-supervised method along with ResNet18 backbone on cifar10 dataset?
Thanks
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In the Amazon paper "Supervised Clustering Loss for Clustering-Friendly Sentence Embeddings: an Application to Intent Clustering", they calculate PRAUC of the model rather differently: "using the true…
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Hi,
I have read your paper "Transferable Curriculum for Weakly-Supervised Domain Adaptation", and inspired a lot. Meanwhile, I notice that you say source code will be available in this repository …
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Testing TraX protocol support for tracker eco.
TraX support detected.
Experiment baseline
Tracker eco
Sequence bag
Sequence ball1
Repetition 1
Tracker execution interrupte…
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Where are the code and model for the semi-supervised experiment?
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Hello,
Very nice work.
It doesn't appear that the engine data set you've collected is apt survival analysis given that the target event (engine failure) is recored. E.g. "(engine/day, 2) tensor c…
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Traceback (most recent call last):
File "./tools/trainval_net.py", line 150, in
max_iters=args.max_iters)
File "/home/nieqinqin/liuxiaoyu/CLWS/tools/../lib/model/train_val.py", line 365, i…
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Self-supervision/semi-supervised learning is ultra-hot now, with new SOTAs being set in DRL using shockingly simple method, and self-supervised being competitive with classical supervised CNNs at Imag…
gwern updated
4 years ago
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I am trying to replicate your CIFAR-10 results but am only reaching accuracy of 0.55, not 0.64 as in Table 11.
Can you help me figure out what's going on? Thanks!
I have added CIFAR to the code by…