Low-Rank Quantization-Aware Training for LLMs.
Yelysei BondarenkoRiccardo Del ChiaroMarkus NagelPublished in: CoRR (2024)
Keyphrases
- low rank
- linear combination
- missing data
- matrix factorization
- convex optimization
- rank minimization
- matrix completion
- singular value decomposition
- low rank matrix
- semi supervised
- high dimensional data
- high order
- kernel matrix
- low rank matrices
- matrix decomposition
- trace norm
- training set
- minimization problems
- collaborative filtering
- nearest neighbor
- stochastic gradient descent
- affinity matrix
- small number
- feature vectors
- pattern recognition
- feature selection
- machine learning