Summary of Kto: Model Alignment As Prospect Theoretic Optimization, by Kawin Ethayarajh et al.
KTO: Model Alignment as Prospect Theoretic Optimizationby Kawin Ethayarajh, Winnie Xu, Niklas Muennighoff, Dan Jurafsky,…
Summary of Signsgd with Federated Defense: Harnessing Adversarial Attacks Through Gradient Sign Decoding, by Chanho Park et al.
SignSGD with Federated Defense: Harnessing Adversarial Attacks through Gradient Sign Decodingby Chanho Park, Namyoon LeeFirst…
Summary of Fundamental Properties Of Causal Entropy and Information Gain, by Francisco N. F. Q. Simoes et al.
Fundamental Properties of Causal Entropy and Information Gainby Francisco N. F. Q. Simoes, Mehdi Dastani,…
Summary of Training-time Neuron Alignment Through Permutation Subspace For Improving Linear Mode Connectivity and Model Fusion, by Zexi Li et al.
Training-time Neuron Alignment through Permutation Subspace for Improving Linear Mode Connectivity and Model Fusionby Zexi…
Summary of Monotone, Bi-lipschitz, and Polyak-lojasiewicz Networks, by Ruigang Wang et al.
Monotone, Bi-Lipschitz, and Polyak-Lojasiewicz Networksby Ruigang Wang, Krishnamurthy Dvijotham, Ian R. ManchesterFirst submitted to arxiv…
Summary of Shapelet-based Model-agnostic Counterfactual Local Explanations For Time Series Classification, by Qi Huang et al.
Shapelet-based Model-agnostic Counterfactual Local Explanations for Time Series Classificationby Qi Huang, Wei Chen, Thomas Bäck,…
Summary of Core: Mitigating Catastrophic Forgetting in Continual Learning Through Cognitive Replay, by Jianshu Zhang et al.
CORE: Mitigating Catastrophic Forgetting in Continual Learning through Cognitive Replayby Jianshu Zhang, Yankai Fu, Ziheng…
Summary of Pfedmoe: Data-level Personalization with Mixture Of Experts For Model-heterogeneous Personalized Federated Learning, by Liping Yi et al.
pFedMoE: Data-Level Personalization with Mixture of Experts for Model-Heterogeneous Personalized Federated Learningby Liping Yi, Han…
Summary of Continual Learning For Large Language Models: a Survey, by Tongtong Wu et al.
Continual Learning for Large Language Models: A Surveyby Tongtong Wu, Linhao Luo, Yuan-Fang Li, Shirui…
Summary of Tesseract: Eliminating Experimental Bias in Malware Classification Across Space and Time (extended Version), by Zeliang Kan et al.
TESSERACT: Eliminating Experimental Bias in Malware Classification across Space and Time (Extended Version)by Zeliang Kan,…