Summary of Fair: Filtering Of Automatically Induced Rules, by Divya Jyoti Bajpai et al.
FAIR: Filtering of Automatically Induced Rulesby Divya Jyoti Bajpai, Ayush Maheshwari, Manjesh Kumar Hanawal, Ganesh…
Summary of Effects Of Term Weighting Approach with and Without Stop Words Removing on Arabic Text Classification, by Esra’a Alhenawi et al.
Effects of term weighting approach with and without stop words removing on Arabic text classificationby…
Summary of Beyond Simple Averaging: Improving Nlp Ensemble Performance with Topological-data-analysis-based Weighting, by Polina Proskura et al.
Beyond Simple Averaging: Improving NLP Ensemble Performance with Topological-Data-Analysis-Based Weightingby Polina Proskura, Alexey ZaytsevFirst submitted…
Summary of Stencil: Submodular Mutual Information Based Weak Supervision For Cold-start Active Learning, by Nathan Beck et al.
STENCIL: Submodular Mutual Information Based Weak Supervision for Cold-Start Active Learningby Nathan Beck, Adithya Iyer,…
Summary of Algoformer: An Efficient Transformer Framework with Algorithmic Structures, by Yihang Gao et al.
AlgoFormer: An Efficient Transformer Framework with Algorithmic Structuresby Yihang Gao, Chuanyang Zheng, Enze Xie, Han…
Summary of On Sensitivity Of Learning with Limited Labelled Data to the Effects Of Randomness: Impact Of Interactions and Systematic Choices, by Branislav Pecher et al.
On Sensitivity of Learning with Limited Labelled Data to the Effects of Randomness: Impact of…
Summary of Comparing Specialised Small and General Large Language Models on Text Classification: 100 Labelled Samples to Achieve Break-even Performance, by Branislav Pecher et al.
Comparing Specialised Small and General Large Language Models on Text Classification: 100 Labelled Samples to…
Summary of Balancing the Causal Effects in Class-incremental Learning, by Junhao Zheng et al.
Balancing the Causal Effects in Class-Incremental Learningby Junhao Zheng, Ruiyan Wang, Chongzhi Zhang, Huawen Feng,…
Summary of Improving Black-box Robustness with In-context Rewriting, by Kyle O’brien et al.
Improving Black-box Robustness with In-Context Rewritingby Kyle O'Brien, Nathan Ng, Isha Puri, Jorge Mendez, Hamid…
Summary of Accuracy Of Textfooler Black Box Adversarial Attacks on 01 Loss Sign Activation Neural Network Ensemble, by Yunzhe Xue and Usman Roshan
Accuracy of TextFooler black box adversarial attacks on 01 loss sign activation neural network ensembleby…