Summary of Cooperative Knowledge Distillation: a Learner Agnostic Approach, by Michael Livanos et al.
Cooperative Knowledge Distillation: A Learner Agnostic Approachby Michael Livanos, Ian Davidson, Stephen WongFirst submitted to…
Summary of Group Distributionally Robust Dataset Distillation with Risk Minimization, by Saeed Vahidian et al.
Group Distributionally Robust Dataset Distillation with Risk Minimizationby Saeed Vahidian, Mingyu Wang, Jianyang Gu, Vyacheslav…
Summary of Scaling Laws For Downstream Task Performance in Machine Translation, by Berivan Isik et al.
Scaling Laws for Downstream Task Performance in Machine Translationby Berivan Isik, Natalia Ponomareva, Hussein Hazimeh,…
Summary of Symbol Correctness in Deep Neural Networks Containing Symbolic Layers, by Aaron Bembenek et al.
Symbol Correctness in Deep Neural Networks Containing Symbolic Layersby Aaron Bembenek, Toby MurrayFirst submitted to…
Summary of Survival and Grade Of the Glioma Prediction Using Transfer Learning, by Santiago Valbuena Rubio et al.
Survival and grade of the glioma prediction using transfer learningby Santiago Valbuena Rubio, María Teresa…
Summary of Constrained Decoding For Cross-lingual Label Projection, by Duong Minh Le et al.
Constrained Decoding for Cross-lingual Label Projectionby Duong Minh Le, Yang Chen, Alan Ritter, Wei XuFirst…
Summary of Online Transfer Learning For Rsv Case Detection, by Yiming Sun et al.
Online Transfer Learning for RSV Case Detectionby Yiming Sun, Yuhe Gao, Runxue Bao, Gregory F.…
Summary of Transfer Learning in Ecg Diagnosis: Is It Effective?, by Cuong V. Nguyen and Cuong D.do
Transfer Learning in ECG Diagnosis: Is It Effective?by Cuong V. Nguyen, Cuong D.DoFirst submitted to…
Summary of Maximizing Data Efficiency For Cross-lingual Tts Adaptation by Self-supervised Representation Mixing and Embedding Initialization, By Wei-ping Huang et al.
Maximizing Data Efficiency for Cross-Lingual TTS Adaptation by Self-Supervised Representation Mixing and Embedding Initializationby Wei-Ping…
Summary of Double-dip: Thwarting Label-only Membership Inference Attacks with Transfer Learning and Randomization, by Arezoo Rajabi et al.
Double-Dip: Thwarting Label-Only Membership Inference Attacks with Transfer Learning and Randomizationby Arezoo Rajabi, Reeya Pimple,…