Summary of Counterfactual Fairness by Combining Factual and Counterfactual Predictions, By Zeyu Zhou et al.
Counterfactual Fairness by Combining Factual and Counterfactual Predictionsby Zeyu Zhou, Tianci Liu, Ruqi Bai, Jing…
Summary of Large Language Models For Anomaly and Out-of-distribution Detection: a Survey, by Ruiyao Xu et al.
Large Language Models for Anomaly and Out-of-Distribution Detection: A Surveyby Ruiyao Xu, Kaize DingFirst submitted…
Summary of From Data to Insights: a Covariate Analysis Of the Iarpa Briar Dataset For Multimodal Biometric Recognition Algorithms at Altitude and Range, by David S. Bolme et al.
From Data to Insights: A Covariate Analysis of the IARPA BRIAR Dataset for Multimodal Biometric…
Summary of On the Design Space Between Transformers and Recursive Neural Nets, by Jishnu Ray Chowdhury et al.
On the Design Space Between Transformers and Recursive Neural Netsby Jishnu Ray Chowdhury, Cornelia CarageaFirst…
Summary of Long-range Biometric Identification in Real World Scenarios: a Comprehensive Evaluation Framework Based on Missions, by Deniz Aykac et al.
Long-Range Biometric Identification in Real World Scenarios: A Comprehensive Evaluation Framework Based on Missionsby Deniz…
Summary of Buffer-based Gradient Projection For Continual Federated Learning, by Shenghong Dai et al.
Buffer-based Gradient Projection for Continual Federated Learningby Shenghong Dai, Jy-yong Sohn, Yicong Chen, S M…
Summary of Pmlbmini: a Tabular Classification Benchmark Suite For Data-scarce Applications, by Ricardo Knauer et al.
PMLBmini: A Tabular Classification Benchmark Suite for Data-Scarce Applicationsby Ricardo Knauer, Marvin Grimm, Erik RodnerFirst…
Summary of Enhancing Sample Efficiency and Exploration in Reinforcement Learning Through the Integration Of Diffusion Models and Proximal Policy Optimization, by Gao Tianci et al.
Enhancing Sample Efficiency and Exploration in Reinforcement Learning through the Integration of Diffusion Models and…
Summary of Learning Robust Representations For Communications Over Noisy Channels, by Sudharsan Senthil et al.
Learning Robust Representations for Communications over Noisy Channelsby Sudharsan Senthil, Shubham Paul, Nambi Seshadri, R.…
Summary of Logit Scaling For Out-of-distribution Detection, by Andrija Djurisic et al.
Logit Scaling for Out-of-Distribution Detectionby Andrija Djurisic, Rosanne Liu, Mladen NikolicFirst submitted to arxiv on:…