Search Results for author:
Found 4 papers, 4 papers with code
QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks
Second, QuIP# uses vector quantization techniques to take advantage of the ball-shaped sub-Gaussian distribution that incoherent weights possess: specifically, we introduce a set of hardware-efficient codebooks based on the highly symmetric $E_8$ lattice, which achieves the optimal 8-dimension unit ball packing.
Beyond Invariance: Test-Time Label-Shift Adaptation for Distributions with "Spurious" Correlations
However, we assume that the generative model for features $p(x|y, z)$ is invariant across domains.
Individualized and Global Feature Attributions for Gradient Boosted Trees in the Presence of $\ell_2$ Regularization
We propose Prediction Decomposition Attribution (PreDecomp), a novel individualized feature attribution for gradient boosted trees when they are trained with $\ell_2$ regularization.
Action2Motion: Conditioned Generation of 3D Human Motions
Action recognition is a relatively established task, where givenan input sequence of human motion, the goal is to predict its ac-tion category.
