Papers › Progressive Neural Networks
Progressive Neural Networks
Andrei A. Rusu, Neil C. Rabinowitz, Guillaume Desjardins, Hubert Soyer, James Kirkpatrick, Koray Kavukcuoglu, Razvan Pascanu, Raia Hadsell
Learning to solve complex sequences of tasks--while both leveraging transfer and avoiding catastrophic forgetting--remains a key obstacle to achieving human-level intelligence. The progressive networks approach represents a step forward in this direction: they are immune to forgetting and can leverage prior knowledge via lateral connections to previously learned features. We evaluate this architecture extensively on a wide variety of reinforcement learning tasks (Atari and 3D maze games), and show that it outperforms common baselines based on pretraining and finetuning. Using a novel sensitivity measure, we demonstrate that transfer occurs at both low-level sensory and high-level control layers of the learned policy.
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Code
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Code Syntology ran Syntology
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Continual Learning | CUBS (Fine-grained 6 Tasks) | ProgressiveNet | Accuracy | 78.94 | #6 of 6 | Archive leaderboard | report |
| Continual Learning | Flowers (Fine-grained 6 Tasks) | ProgressiveNet | Accuracy | 93.41 | #5 of 6 | Archive leaderboard | report |
| Continual Learning | ImageNet (Fine-grained 6 Tasks) | ProgressiveNet | Accuracy | 76.16 | #1 of 6 | Archive leaderboard | report |
| Continual Learning | Sketch (Fine-grained 6 Tasks) | ProgressiveNet | Accuracy | 76.35 | #4 of 6 | Archive leaderboard | report |
| Continual Learning | Stanford Cars (Fine-grained 6 Tasks) | ProgressiveNet | Accuracy | 89.21 | #5 of 6 | Archive leaderboard | report |
| Continual Learning | Wikiart (Fine-grained 6 Tasks) | ProgressiveNet | Accuracy | 74.94 | #4 of 6 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
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