Summary of 1st-order Magic: Analysis Of Sharpness-aware Minimization, by Nalin Tiwary and Siddarth Aananth
1st-Order Magic: Analysis of Sharpness-Aware Minimizationby Nalin Tiwary, Siddarth AananthFirst submitted to arxiv on: 3…
Summary of Learning From Convolution-based Unlearnable Datastes, by Dohyun Kim et al.
Learning from Convolution-based Unlearnable Datastesby Dohyun Kim, Pedro Sandoval-SeguraFirst submitted to arxiv on: 4 Nov…
Summary of Mitigating Spurious Correlations Via Disagreement Probability, by Hyeonggeun Han et al.
Mitigating Spurious Correlations via Disagreement Probabilityby Hyeonggeun Han, Sehwan Kim, Hyungjun Joo, Sangwoo Hong, Jungwoo…
Summary of Dpcl-diff: the Temporal Knowledge Graph Reasoning Based on Graph Node Diffusion Model with Dual-domain Periodic Contrastive Learning, by Yukun Cao et al.
DPCL-Diff: The Temporal Knowledge Graph Reasoning Based on Graph Node Diffusion Model with Dual-Domain Periodic…
Summary of Anomalous Client Detection in Federated Learning, by Dipanwita Thakur et al.
Anomalous Client Detection in Federated Learningby Dipanwita Thakur, Antonella Guzzo, Giancarlo FortinoFirst submitted to arxiv…
Summary of Sample-efficient Alignment For Llms, by Zichen Liu et al.
Sample-Efficient Alignment for LLMsby Zichen Liu, Changyu Chen, Chao Du, Wee Sun Lee, Min LinFirst…
Summary of Dsde: Using Proportion Estimation to Improve Model Selection For Out-of-distribution Detection, by Jingyao Geng et al.
DSDE: Using Proportion Estimation to Improve Model Selection for Out-of-Distribution Detectionby Jingyao Geng, Yuan Zhang,…
Summary of Facedig: Automated Tool For Placing Landmarks on Facial Portraits For Geometric Morphometrics Users, by Karel Kleisner et al.
FaceDig: Automated tool for placing landmarks on facial portraits for geometric morphometrics usersby Karel Kleisner,…
Summary of Diversity Progress For Goal Selection in Discriminability-motivated Rl, by Erik M. Lintunen et al.
Diversity Progress for Goal Selection in Discriminability-Motivated RLby Erik M. Lintunen, Nadia M. Ady, Christian…
Summary of Performance Evaluation Of Deep Learning Models For Water Quality Index Prediction: a Comparative Study Of Lstm, Tcn, Ann, and Mlp, by Muhammad Ismail et al.
Performance Evaluation of Deep Learning Models for Water Quality Index Prediction: A Comparative Study of…