Summary of Fostering Trust and Quantifying Value Of Ai and Ml, by Dalmo Cirne and Veena Calambur
Fostering Trust and Quantifying Value of AI and MLby Dalmo Cirne, Veena CalamburFirst submitted to…
Summary of New Directions in Text Classification Research: Maximizing the Performance Of Sentiment Classification From Limited Data, by Surya Agustian et al.
New Directions in Text Classification Research: Maximizing The Performance of Sentiment Classification from Limited Databy…
Summary of The Cooperative Network Architecture: Learning Structured Networks As Representation Of Sensory Patterns, by Pascal J. Sager et al.
The Cooperative Network Architecture: Learning Structured Networks as Representation of Sensory Patternsby Pascal J. Sager,…
Summary of Fairpfn: Transformers Can Do Counterfactual Fairness, by Jake Robertson et al.
FairPFN: Transformers Can do Counterfactual Fairnessby Jake Robertson, Noah Hollmann, Noor Awad, Frank HutterFirst submitted…
Summary of Automated Computational Energy Minimization Of Ml Algorithms Using Constrained Bayesian Optimization, by Pallavi Mitra et al.
Automated Computational Energy Minimization of ML Algorithms using Constrained Bayesian Optimizationby Pallavi Mitra, Felix BiessmannFirst…
Summary of Model-agnostic Meta-learners For Estimating Heterogeneous Treatment Effects Over Time, by Dennis Frauen et al.
Model-agnostic meta-learners for estimating heterogeneous treatment effects over timeby Dennis Frauen, Konstantin Hess, Stefan FeuerriegelFirst…
Summary of Ptarl: Prototype-based Tabular Representation Learning Via Space Calibration, by Hangting Ye et al.
PTaRL: Prototype-based Tabular Representation Learning via Space Calibrationby Hangting Ye, Wei Fan, Xiaozhuang Song, Shun…
Summary of Learning Label Refinement and Threshold Adjustment For Imbalanced Semi-supervised Learning, by Zeju Li et al.
Learning Label Refinement and Threshold Adjustment for Imbalanced Semi-Supervised Learningby Zeju Li, Ying-Qiu Zheng, Chen…
Summary of Aigas-devl: An Adaptive Incremental Neural Gas Model For Drifting Data Streams Under Extreme Verification Latency, by Maria Arostegi et al.
AiGAS-dEVL: An Adaptive Incremental Neural Gas Model for Drifting Data Streams under Extreme Verification Latencyby…
Summary of Isign: a Benchmark For Indian Sign Language Processing, by Abhinav Joshi and Romit Mohanty and Mounika Kanakanti and Andesha Mangla and Sudeep Choudhary and Monali Barbate and Ashutosh Modi
iSign: A Benchmark for Indian Sign Language Processingby Abhinav Joshi, Romit Mohanty, Mounika Kanakanti, Andesha…