NSCL-PyTorch-Release
NSCL-PyTorch-Release copied to clipboard
vacancy
PyTorch implementation for the Neuro-Symbolic Concept Learner (NS-CL).
Hi! Just wanted to make a request. Would it be possible for you to add instructions in the README.md for how one can replicate results on the VQS dataset? Thanks!
Hi! We are currently doing a research on your VQA papers, and would really like to have the source code for zero annotation parser training, as it was one of...
RuntimeError: one of the variables needed for gradient computation has been modified by an in-place operation: [torch.cuda.FloatTensor [3, 256, 7, 7]], which is output 0 of CudnnConvolutionBackward, is at version...
> This current release contains only training codes for the visual modules. That is, currently we still assume that a semantic parser is pre-trained using program annotations. In the full...
Hi, you mention that the code for training full semantic parser will be released later. It will be helpful if instructions for training semantic parser can be provided or full...
Hello, any chance you could release a one-or-two self contained file with the trained mask-rcnn model, I'd like to use to perform some experiments. Thanks in advance
Hello, I can train the model since the process kills itself after this message: Building the data loader. Curriculum = 3/8, length = 32218. Epoch 15 acc/qa=1.000000 loss=0.046158 loss/qa=0.046158 time/data=0.008719...
Suppose the model predicts a synonym for metal, e.g. "shiny", how does the program executor map shiny to what it is really supposed to mean, i.e. metal?
I run your code, while the following message doesn't appear. [07 16:30:54 [email protected]:/data/vision/billf/scratch/jiayuanm/projects/NSCL-PyTorch/nscl/datasets/factory.py] Filtering out questions containing "how big" and "made of", #before = 699989, #after = 633615.
