537 citations · 584 across the 9 of their papers we have counts for
4 papers · 1 filter
Stable Phase Retrieval from Locally Stable and Conditionally Connected Measurements
Cheng Cheng, Ingrid Daubechies, Nadav Dym +1
This paper is concerned with stable phase retrieval for a family of phase retrieval models we name "locally stable and conditionally connected" (LSCC) measurement schemes. For ever…
LightPAFF: A Two-Stage Distillation Framework for Pre-training and Fine-tuning
Kaitao Song, Hao Sun, Xu Tan +4
While pre-training and fine-tuning, e.g., BERT~\citep{devlin2018bert}, GPT-2~\citep{radford2019language}, have achieved great success in language understanding and generation tasks…
MPNet: Masked and Permuted Pre-training for Language Understanding
Kaitao Song, Xu Tan, Tao Qin +2
BERT adopts masked language modeling (MLM) for pre-training and is one of the most successful pre-training models. Since BERT neglects dependency among predicted tokens, XLNet intr…
Non-Convex Planar Harmonic Maps
Shahar Z. Kovalsky, Noam Aigerman, Ingrid Daubechies +3
We formulate a novel characterization of a family of invertible maps between two-dimensional domains. Our work follows two classic results: The Radó-Kneser-Choquet (RKC) theorem, w…