Summary of Whisperner: Unified Open Named Entity and Speech Recognition, by Gil Ayache et al.
WhisperNER: Unified Open Named Entity and Speech Recognitionby Gil Ayache, Menachem Pirchi, Aviv Navon, Aviv…
Summary of Fpmt: Enhanced Semi-supervised Model For Traffic Incident Detection, by Xinying Lu and Jianli Xiao
FPMT: Enhanced Semi-Supervised Model for Traffic Incident Detectionby Xinying Lu, Jianli XiaoFirst submitted to arxiv…
Summary of Cross-refine: Improving Natural Language Explanation Generation by Learning in Tandem, By Qianli Wang et al.
Cross-Refine: Improving Natural Language Explanation Generation by Learning in Tandemby Qianli Wang, Tatiana Anikina, Nils…
Summary of Unsupervised Novelty Detection Methods Benchmarking with Wavelet Decomposition, by Ariel Priarone et al.
Unsupervised Novelty Detection Methods Benchmarking with Wavelet Decompositionby Ariel Priarone, Umberto Albertin, Carlo Cena, Mauro…
Summary of Semi-supervised Reward Modeling Via Iterative Self-training, by Yifei He et al.
Semi-Supervised Reward Modeling via Iterative Self-Trainingby Yifei He, Haoxiang Wang, Ziyan Jiang, Alexandros Papangelis, Han…
Summary of Extending Explainable Ensemble Trees (e2tree) to Regression Contexts, by Massimo Aria et al.
Extending Explainable Ensemble Trees (E2Tree) to regression contextsby Massimo Aria, Agostino Gnasso, Carmela Iorio, Marjolein…
Summary of A Small Claims Court For the Nlp: Judging Legal Text Classification Strategies with Small Datasets, by Mariana Yukari Noguti and Edduardo Vellasques and Luiz Eduardo Soares Oliveira
A Small Claims Court for the NLP: Judging Legal Text Classification Strategies With Small Datasetsby…
Summary of Selective Self-rehearsal: a Fine-tuning Approach to Improve Generalization in Large Language Models, by Sonam Gupta et al.
Selective Self-Rehearsal: A Fine-Tuning Approach to Improve Generalization in Large Language Modelsby Sonam Gupta, Yatin…
Summary of Active Learning For Regression in Engineering Populations: a Risk-informed Approach, by Daniel R. Clarkson et al.
Active learning for regression in engineering populations: A risk-informed approachby Daniel R. Clarkson, Lawrence A.…
Summary of Dynamics Of Supervised and Reinforcement Learning in the Non-linear Perceptron, by Christian Schmid and James M. Murray
Dynamics of Supervised and Reinforcement Learning in the Non-Linear Perceptronby Christian Schmid, James M. MurrayFirst…