Search Results for author:
Found 4 papers, 2 papers with code
PAL: Pluralistic Alignment Framework for Learning from Heterogeneous Preferences
We propose using the ideal point model as a lens to view alignment using preference comparisons.
AdANNS: A Framework for Adaptive Semantic Search
Finally, we demonstrate that AdANNS can enable inference-time adaptivity for compute-aware search on ANNS indices built non-adaptively on matryoshka representations.
Matryoshka Representation Learning
The flexibility within the learned Matryoshka Representations offer: (a) up to 14x smaller embedding size for ImageNet-1K classification at the same level of accuracy; (b) up to 14x real-world speed-ups for large-scale retrieval on ImageNet-1K and 4K; and (c) up to 2% accuracy improvements for long-tail few-shot classification, all while being as robust as the original representations.
Ranked #25 on
Image Classification
on ObjectNet
(using extra training data)
Spatio-Temporal Video Representation Learning for AI Based Video Playback Style Prediction
Ever-increasing smartphone-generated video content demands intelligent techniques to edit and enhance videos on power-constrained devices.
