Improving Performance in Space-Hard Algorithms.
Hatice Kübra GünerCeyda MangirOguz YaylaPublished in: CSCML (2023)
Keyphrases
- orders of magnitude
- learning algorithm
- real world
- data structure
- search space
- benchmark datasets
- neural network
- hard problems
- equivalence classes
- computationally efficient
- computationally expensive
- times faster
- restrictive assumptions
- computationally hard
- linear space
- recently developed
- theoretical analysis
- optimization problems
- worst case
- significant improvement
- video sequences
- computer vision