Related Issues (20)
- Missing Files
- Missing txt files
- Why is task2vec agnostic to the model? HOT 6
- Reproducing semantic clustering and taxonomical correlation HOT 1
- what would a task2vec (cosine) distance of -1 mean? HOT 1
- How to add new dataset,
- task2vec complexity using normalized/standardized values
- probe network need to re-train head for each task?
- why are task2vec embeddings using diagonal of FIM better than using raw activations? HOT 2
- How to handle single data points? how does task2vec work in this setting?
- Computing Norm of Embedding
- Strengths and weaknesses of task2vec?
- readme missing citation
- Missing taxonomical txt files? HOT 3
- cannot compute distance matrix for only mnist HOT 1
- speeding up FIM computation
- Are task2vec embeddings valid when the network used doesn't perfectly fit the data? HOT 1
- Replication
- Can the true entropy of the distribution of a task be computed using task2vec?
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from aws-cv-task2vec.