Summary of Distribution-aware Robust Learning From Long-tailed Data with Noisy Labels, by Jae Soon Baik et al.
Distribution-Aware Robust Learning from Long-Tailed Data with Noisy Labelsby Jae Soon Baik, In Young Yoon,…
Summary of Bora: Bayesian Hierarchical Low-rank Adaption For Multi-task Large Language Models, by Simen Eide et al.
BoRA: Bayesian Hierarchical Low-Rank Adaption for Multi-Task Large Language Modelsby Simen Eide, Arnoldo FrigessiFirst submitted…
Summary of Exploring the Effectiveness Of Object-centric Representations in Visual Question Answering: Comparative Insights with Foundation Models, by Amir Mohammad Karimi Mamaghan et al.
Exploring the Effectiveness of Object-Centric Representations in Visual Question Answering: Comparative Insights with Foundation Modelsby…
Summary of Text-augmented Multimodal Llms For Chemical Reaction Condition Recommendation, by Yu Zhang et al.
Text-Augmented Multimodal LLMs for Chemical Reaction Condition Recommendationby Yu Zhang, Ruijie Yu, Kaipeng Zeng, Ding…
Summary of Unifying Invariant and Variant Features For Graph Out-of-distribution Via Probability Of Necessity and Sufficiency, by Xuexin Chen et al.
Unifying Invariant and Variant Features for Graph Out-of-Distribution via Probability of Necessity and Sufficiencyby Xuexin…
Summary of Out Of Spuriousity: Improving Robustness to Spurious Correlations Without Group Annotations, by Phuong Quynh Le et al.
Out of spuriousity: Improving robustness to spurious correlations without group annotationsby Phuong Quynh Le, Jörg…
Summary of Generalization V.s. Memorization: Tracing Language Models’ Capabilities Back to Pretraining Data, by Xinyi Wang et al.
Generalization v.s. Memorization: Tracing Language Models’ Capabilities Back to Pretraining Databy Xinyi Wang, Antonis Antoniades,…
Summary of Value Internalization: Learning and Generalizing From Social Reward, by Frieda Rong and Max Kleiman-weiner
Value Internalization: Learning and Generalizing from Social Rewardby Frieda Rong, Max Kleiman-WeinerFirst submitted to arxiv…
Summary of Hyperparameter Optimization For Driving Strategies Based on Reinforcement Learning, by Nihal Acharya Adde et al.
Hyperparameter Optimization for Driving Strategies Based on Reinforcement Learningby Nihal Acharya Adde, Hanno Gottschalk, Andreas…
Summary of Class-incremental Learning with Clip: Adaptive Representation Adjustment and Parameter Fusion, by Linlan Huang et al.
Class-Incremental Learning with CLIP: Adaptive Representation Adjustment and Parameter Fusionby Linlan Huang, Xusheng Cao, Haori…