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Found 5 papers, 4 papers with code
Foundation Models Meet Imbalanced Single-Cell Data When Learning Cell Type Annotations
We benchmark three foundation models, scGPT, scBERT, and Geneformer, using skewed single-cell cell-type distribution for cell-type annotation.
Whispering LLaMA: A Cross-Modal Generative Error Correction Framework for Speech Recognition
We introduce a new cross-modal fusion technique designed for generative error correction in automatic speech recognition (ASR).
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
A Parameter-Efficient Learning Approach to Arabic Dialect Identification with Pre-Trained General-Purpose Speech Model
In this work, we explore Parameter-Efficient-Learning (PEL) techniques to repurpose a General-Purpose-Speech (GSM) model for Arabic dialect identification (ADI).
IHCV: Discovery of Hidden Time-Dependent Control Variables in Non-Linear Dynamical Systems
However, it remains challenging to model hidden non-observable control variables governing switching between different dynamical regimes.
Controllability, Multiplexing, and Transfer Learning in Networks using Evolutionary Learning
Next, (2) the learned networks are technically controllable as only a small number of driver nodes are required to move the system to a new state.
