Summary of Declip: Decoding Clip Representations For Deepfake Localization, by Stefan Smeu et al.
DeCLIP: Decoding CLIP representations for deepfake localizationby Stefan Smeu, Elisabeta Oneata, Dan OneataFirst submitted to…
Summary of Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control, by Carles Domingo-enrich et al.
Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Controlby Carles Domingo-Enrich,…
Summary of Optimization and Generalization Guarantees For Weight Normalization, by Pedro Cisneros-velarde et al.
Optimization and Generalization Guarantees for Weight Normalizationby Pedro Cisneros-Velarde, Zhijie Chen, Sanmi Koyejo, Arindam BanerjeeFirst…
Summary of Bounds on the Generalization Error in Active Learning, by Vincent Menden et al.
Bounds on the Generalization Error in Active Learningby Vincent Menden, Yahya Saleh, Armin IskeFirst submitted…
Summary of Layerwise Change Of Knowledge in Neural Networks, by Xu Cheng et al.
Layerwise Change of Knowledge in Neural Networksby Xu Cheng, Lei Cheng, Zhaoran Peng, Yang Xu,…
Summary of Sub-graph Based Diffusion Model For Link Prediction, by Hang Li et al.
Sub-graph Based Diffusion Model for Link Predictionby Hang Li, Wei Jin, Geri Skenderi, Harry Shomer,…
Summary of Activation Function Optimization Method: Learnable Series Linear Units (lslus), by Chuan Feng et al.
Activation function optimization method: Learnable series linear units (LSLUs)by Chuan Feng, Xi Lin, Shiping Zhu,…
Summary of Do Vision Foundation Models Enhance Domain Generalization in Medical Image Segmentation?, by Kerem Cekmeceli et al.
Do Vision Foundation Models Enhance Domain Generalization in Medical Image Segmentation?by Kerem Cekmeceli, Meva Himmetoglu,…
Summary of Learning Causally Invariant Reward Functions From Diverse Demonstrations, by Ivan Ovinnikov et al.
Learning Causally Invariant Reward Functions from Diverse Demonstrationsby Ivan Ovinnikov, Eugene Bykovets, Joachim M. BuhmannFirst…
Summary of Fine-tuning Large Language Models For Entity Matching, by Aaron Steiner et al.
Fine-tuning Large Language Models for Entity Matchingby Aaron Steiner, Ralph Peeters, Christian BizerFirst submitted to…