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Found 8 papers, 2 papers with code
Don't Waste a Single Annotation: Improving Single-Label Classifiers Through Soft Labels
In this paper, we address the limitations of the common data annotation and training methods for objective single-label classification tasks.
Comparison between parameter-efficient techniques and full fine-tuning: A case study on multilingual news article classification
Adapters and Low-Rank Adaptation (LoRA) are parameter-efficient fine-tuning techniques designed to make the training of language models more efficient.
SheffieldVeraAI at SemEval-2023 Task 3: Mono and multilingual approaches for news genre, topic and persuasion technique classification
For Subtask 2 (Framing), we achieved first place in 3 languages, and the best average rank across all the languages, by using two separate ensembles: a monolingual RoBERTa-MUPPETLARGE and an ensemble of XLM-RoBERTaLARGE with adapters and task adaptive pretraining.
Sub-Nyquist Sampling with Optical Pulses for Photonic Blind Source Separation
We proposed and demonstrated an optical pulse sampling method for photonic blind source separation.
Photonic Interference Cancellation with Hybrid Free Space Optical Communication and MIMO Receiver
We proposed and demonstrated a hybrid blind source separation system which can switch between multiple-input and multi-output mode and free space optical communication mode depends on different situation to get best condition for separation.
Radio Frequency Interference Management with Free-Space Optical Communication and Photonic Signal Processing
We design and experimentally demonstrate a radio frequency interference management system with free-space optical communication and photonic signal processing.
Wideband photonic interference cancellation based on free space optical communication
We propose and experimentally demonstrate an interference management system that removes wideband wireless interference by using photonic signal processing and free space optical communication.
Wideband photonic blind source separation with optical pulse sampling
The ultra-fast optical pulse functions as a tweezer that collects samples of the signals at very low sampling rates, and each sample is short enough to maintain the statistical properties of the signals.
