Research map / Learning theory and algorithms / Matrix and tensor methods
Supervised Learning with Tensor Networks
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| increase MPS maximum bond dimension from 10 to 20 to 120 (ablation) | MPS sweeping classifier · MNIST (14x14 downscaled) | test error: about 5% -> 2% -> 0.97% | Helped |
| train with more sweeps (converges in about five or fewer) | MPS sweeping classifier · MNIST (14x14 downscaled) | test error: changes of hundredths of a percent after convergence | No clear effect |
| replace full-batch gradient with stochastic gradient descent when mixed with MPS sweeping | MPS sweeping classifier · MNIST (14x14 downscaled) | accuracy | Hurt |
| no explicit parameter regularization (no weight decay or L1) | MPS sweeping classifier · MNIST (14x14 downscaled) | generalization | No clear effect |
Closest papers by meaning
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