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01/26/2023
Class-Incremental Learning with Repetition
Real-world data streams naturally include the repetition of previous con...
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08/06/2022
Graph Pooling with Maximum-Weight k-Independent Sets
Graph reductions are fundamental when dealing with large scale networks ...
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07/04/2022
It's all About Consistency: A Study on Memory Composition for Replay-Based Methods in Continual Learning
Continual Learning methods strive to mitigate Catastrophic Forgetting (C...
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04/11/2022
Learning heuristics for A*
Path finding in graphs is one of the most studied classes of problems in...
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12/13/2021
Ex-Model: Continual Learning from a Stream of Trained Models
Learning continually from non-stationary data streams is a challenging r...
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07/08/2021
Calliope – A Polyphonic Music Transformer
The polyphonic nature of music makes the application of deep learning to...
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10/03/2020
Perplexity-free Parametric t-SNE
The t-distributed Stochastic Neighbor Embedding (t-SNE) algorithm is a u...
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02/28/2020
