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Papers
Junk DNA Hypothesis: Pruning Small Pre-Trained Weights Irreversibly and Monotonically Impairs “Difficult" Downstream Tasks in LLMs
ICML 2024
Non-transferable Pruning
ECCV 2024
Optimal Eye Surgeon: Finding image priors through sparse generators at initialization
ICML 2024
Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity
ICML 2024
SLEB: Streamlining LLMs through Redundancy Verification and Elimination of Transformer Blocks
ICML 2024
Soft Prompt Recovers Compressed LLMs, Transferably
ICML 2024
SPADE: Sparsity-Guided Debugging for Deep Neural Networks
ICML 2024
Sparsest Models Elude Pruning: An Exposé of Pruning’s Current Capabilities
ICML 2024