Summary of How Does Unlabeled Data Provably Help Out-of-distribution Detection?, by Xuefeng Du et al.
How Does Unlabeled Data Provably Help Out-of-Distribution Detection?by Xuefeng Du, Zhen Fang, Ilias Diakonikolas, Yixuan…
Summary of Neural Networks For Abstraction and Reasoning: Towards Broad Generalization in Machines, by Mikel Bober-irizar et al.
Neural networks for abstraction and reasoning: Towards broad generalization in machinesby Mikel Bober-Irizar, Soumya BanerjeeFirst…
Summary of Do Diffusion Models Learn Semantically Meaningful and Efficient Representations?, by Qiyao Liang et al.
Do Diffusion Models Learn Semantically Meaningful and Efficient Representations?by Qiyao Liang, Ziming Liu, Ila FieteFirst…
Summary of Froster: Frozen Clip Is a Strong Teacher For Open-vocabulary Action Recognition, by Xiaohu Huang et al.
FROSTER: Frozen CLIP Is A Strong Teacher for Open-Vocabulary Action Recognitionby Xiaohu Huang, Hao Zhou,…
Summary of Is Mamba Capable Of In-context Learning?, by Riccardo Grazzi et al.
Is Mamba Capable of In-Context Learning?by Riccardo Grazzi, Julien Siems, Simon Schrodi, Thomas Brox, Frank…
Summary of Towards Understanding the Word Sensitivity Of Attention Layers: a Study Via Random Features, by Simone Bombari and Marco Mondelli
Towards Understanding the Word Sensitivity of Attention Layers: A Study via Random Featuresby Simone Bombari,…
Summary of Enhancing Compositional Generalization Via Compositional Feature Alignment, by Haoxiang Wang et al.
Enhancing Compositional Generalization via Compositional Feature Alignmentby Haoxiang Wang, Haozhe Si, Huajie Shao, Han ZhaoFirst…
Summary of Understanding What Affects the Generalization Gap in Visual Reinforcement Learning: Theory and Empirical Evidence, by Jiafei Lyu et al.
Understanding What Affects the Generalization Gap in Visual Reinforcement Learning: Theory and Empirical Evidenceby Jiafei…
Summary of Learning From Teaching Regularization: Generalizable Correlations Should Be Easy to Imitate, by Can Jin et al.
Learning from Teaching Regularization: Generalizable Correlations Should be Easy to Imitateby Can Jin, Tong Che,…
Summary of Multi-step Problem Solving Through a Verifier: An Empirical Analysis on Model-induced Process Supervision, by Zihan Wang et al.
Multi-step Problem Solving Through a Verifier: An Empirical Analysis on Model-induced Process Supervisionby Zihan Wang,…