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Sketching Algorithms for Sparse Dictionary Learning: PTAS and Turnstile Streaming
Classically, sketching has been applied to design low-memory algorithms in the streaming setting, when the input is presented to the algorithm as a sequence of updates.
Sketching Algorithms for Sparse Dictionary Learning: PTAS and Turnstile Streaming
Classically, sketching has been applied to design low-memory algorithms in the streaming setting, when the input is presented to the algorithm as a sequence of updates.
A Unified Generalization Analysis of Re-Weighting and Logit-Adjustment for Imbalanced Learning Zitai Wang
As a result, a naïve ERM learning process will be biased towards the majority classes, making it difficult to generalize to the minority classes.
DropCompute: simple and more robust distributed synchronous training via compute variance reduction
Thus, these methods are limited by the delays caused by straggling workers.
Chain-of-Thought Reasoning without Prompting
These methods, while effective, often involve manually intensive prompt engineering.
Locality-Aware Generalizable Implicit Neural Representation
Generalizable implicit neural representation (INR) enables a single continuous function, i.e., a coordinate-based neural network, to represent multiple data instances
