Summary of Hard Prompts Made Interpretable: Sparse Entropy Regularization For Prompt Tuning with Rl, by Yunseon Choi et al.
Hard Prompts Made Interpretable: Sparse Entropy Regularization for Prompt Tuning with RLby Yunseon Choi, Sangmin…
Summary of Catastrophic Goodhart: Regularizing Rlhf with Kl Divergence Does Not Mitigate Heavy-tailed Reward Misspecification, by Thomas Kwa et al.
Catastrophic Goodhart: regularizing RLHF with KL divergence does not mitigate heavy-tailed reward misspecificationby Thomas Kwa,…
Summary of Oasis: Conditional Distribution Shaping For Offline Safe Reinforcement Learning, by Yihang Yao et al.
OASIS: Conditional Distribution Shaping for Offline Safe Reinforcement Learningby Yihang Yao, Zhepeng Cen, Wenhao Ding,…
Summary of On the Causal Sufficiency and Necessity Of Multi-modal Representation Learning, by Jingyao Wang et al.
On the Causal Sufficiency and Necessity of Multi-Modal Representation Learningby Jingyao Wang, Siyu Zhao, Wenwen…
Summary of Disensemi: Semi-supervised Graph Classification Via Disentangled Representation Learning, by Yifan Wang et al.
DisenSemi: Semi-supervised Graph Classification via Disentangled Representation Learningby Yifan Wang, Xiao Luo, Chong Chen, Xian-Sheng…
Summary of Berter: the Efficient One, by Pradyumna Saligram et al.
BERTer: The Efficient Oneby Pradyumna Saligram, Andrew LanpouthakounFirst submitted to arxiv on: 19 Jul 2024CategoriesMain:…
Summary of Correcting the Mythos Of Kl-regularization: Direct Alignment Without Overoptimization Via Chi-squared Preference Optimization, by Audrey Huang et al.
Correcting the Mythos of KL-Regularization: Direct Alignment without Overoptimization via Chi-Squared Preference Optimizationby Audrey Huang,…
Summary of Dropkan: Regularizing Kans by Masking Post-activations, By Mohammed Ghaith Altarabichi
DropKAN: Regularizing KANs by masking post-activationsby Mohammed Ghaith AltarabichiFirst submitted to arxiv on: 17 Jul…
Summary of On the Calibration Of Epistemic Uncertainty: Principles, Paradoxes and Conflictual Loss, by Mohammed Fellaji et al.
On the Calibration of Epistemic Uncertainty: Principles, Paradoxes and Conflictual Lossby Mohammed Fellaji, Frédéric Pennerath,…
Summary of Subject-driven Text-to-image Generation Via Preference-based Reinforcement Learning, by Yanting Miao et al.
Subject-driven Text-to-Image Generation via Preference-based Reinforcement Learningby Yanting Miao, William Loh, Suraj Kothawade, Pascal Poupart,…