Summary of Diagnosing Hate Speech Classification: Where Do Humans and Machines Disagree, and Why?, by Xilin Yang
Diagnosing Hate Speech Classification: Where Do Humans and Machines Disagree, and Why?by Xilin YangFirst submitted…
Summary of Machine Learning Classification Of Peaceful Countries: a Comparative Analysis and Dataset Optimization, by K. Lian (1) et al.
Machine Learning Classification of Peaceful Countries: A Comparative Analysis and Dataset Optimizationby K. Lian, L.…
Summary of Morel: Enhancing Adversarial Robustness Through Multi-objective Representation Learning, by Sedjro Salomon Hotegni et al.
MOREL: Enhancing Adversarial Robustness through Multi-Objective Representation Learningby Sedjro Salomon Hotegni, Sebastian PeitzFirst submitted to…
Summary of Cottention: Linear Transformers with Cosine Attention, by Gabriel Mongaras and Trevor Dohm and Eric C. Larson
Cottention: Linear Transformers With Cosine Attentionby Gabriel Mongaras, Trevor Dohm, Eric C. LarsonFirst submitted to…
Summary of The Dark Side Of Rich Rewards: Understanding and Mitigating Noise in Vlm Rewards, by Sukai Huang et al.
The Dark Side of Rich Rewards: Understanding and Mitigating Noise in VLM Rewardsby Sukai Huang,…
Summary of Evaluating Synthetic Activations Composed Of Sae Latents in Gpt-2, by Giorgi Giglemiani et al.
Evaluating Synthetic Activations composed of SAE Latents in GPT-2by Giorgi Giglemiani, Nora Petrova, Chatrik Singh…
Summary of Fedhide: Federated Learning by Hiding in the Neighbors, By Hyunsin Park and Sungrack Yun
FedHide: Federated Learning by Hiding in the Neighborsby Hyunsin Park, Sungrack YunFirst submitted to arxiv…
Summary of Representation Tuning, by Christopher M. Ackerman
Representation Tuningby Christopher M. AckermanFirst submitted to arxiv on: 11 Sep 2024CategoriesMain: Machine Learning (cs.LG)Secondary:…
Summary of Symmetric Graph Contrastive Learning Against Noisy Views For Recommendation, by Chu Zhao et al.
Symmetric Graph Contrastive Learning against Noisy Views for Recommendationby Chu Zhao, Enneng Yang, Yuliang Liang,…
Summary of Federated Learning For Face Recognition Via Intra-subject Self-supervised Learning, by Hansol Kim et al.
Federated Learning for Face Recognition via Intra-subject Self-supervised Learningby Hansol Kim, Hoyeol Choi, Youngjun KwakFirst…