Summary of Contrastive Diffuser: Planning Towards High Return States Via Contrastive Learning, by Yixiang Shan et al.
Contrastive Diffuser: Planning Towards High Return States via Contrastive Learningby Yixiang Shan, Zhengbang Zhu, Ting…
Summary of Rethinking Optimization and Architecture For Tiny Language Models, by Yehui Tang et al.
Rethinking Optimization and Architecture for Tiny Language Modelsby Yehui Tang, Fangcheng Liu, Yunsheng Ni, Yuchuan…
Summary of Stable and Robust Deep Learning by Hyperbolic Tangent Exponential Linear Unit (telu), By Alfredo Fernandez and Ankur Mali
Stable and Robust Deep Learning By Hyperbolic Tangent Exponential Linear Unit (TeLU)by Alfredo Fernandez, Ankur…
Summary of Stability Analysis Of Various Symbolic Rule Extraction Methods From Recurrent Neural Network, by Neisarg Dave et al.
Stability Analysis of Various Symbolic Rule Extraction Methods from Recurrent Neural Networkby Neisarg Dave, Daniel…
Summary of Prosac: Provably Safe Certification For Machine Learning Models Under Adversarial Attacks, by Chen Feng et al.
PROSAC: Provably Safe Certification for Machine Learning Models under Adversarial Attacksby Chen Feng, Ziquan Liu,…
Summary of Predicting Machine Translation Performance on Low-resource Languages: the Role Of Domain Similarity, by Eric Khiu et al.
Predicting Machine Translation Performance on Low-Resource Languages: The Role of Domain Similarityby Eric Khiu, Hasti…
Summary of Key-graph Transformer For Image Restoration, by Bin Ren et al.
Key-Graph Transformer for Image Restorationby Bin Ren, Yawei Li, Jingyun Liang, Rakesh Ranjan, Mengyuan Liu,…
Summary of Variational Dag Estimation Via State Augmentation with Stochastic Permutations, by Edwin V. Bonilla et al.
Variational DAG Estimation via State Augmentation With Stochastic Permutationsby Edwin V. Bonilla, Pantelis Elinas, He…
Summary of Vision-language Models Provide Promptable Representations For Reinforcement Learning, by William Chen and Oier Mees and Aviral Kumar and Sergey Levine
Vision-Language Models Provide Promptable Representations for Reinforcement Learningby William Chen, Oier Mees, Aviral Kumar, Sergey…
Summary of Learning with Mixture Of Prototypes For Out-of-distribution Detection, by Haodong Lu et al.
Learning with Mixture of Prototypes for Out-of-Distribution Detectionby Haodong Lu, Dong Gong, Shuo Wang, Jason…