Summary of Edge-preserving Noise For Diffusion Models, by Jente Vandersanden et al.
Edge-preserving noise for diffusion modelsby Jente Vandersanden, Sascha Holl, Xingchang Huang, Gurprit SinghFirst submitted to…
Summary of In-context Transfer Learning: Demonstration Synthesis by Transferring Similar Tasks, By Dingzirui Wang et al.
In-Context Transfer Learning: Demonstration Synthesis by Transferring Similar Tasksby Dingzirui Wang, Xuanliang Zhang, Qiguang Chen,…
Summary of Integrative Decoding: Improve Factuality Via Implicit Self-consistency, by Yi Cheng et al.
Integrative Decoding: Improve Factuality via Implicit Self-consistencyby Yi Cheng, Xiao Liang, Yeyun Gong, Wen Xiao,…
Summary of Mitigating Copy Bias in In-context Learning Through Neuron Pruning, by Ameen Ali et al.
Mitigating Copy Bias in In-Context Learning through Neuron Pruningby Ameen Ali, Lior Wolf, Ivan TitovFirst…
Summary of Speculative Coreset Selection For Task-specific Fine-tuning, by Xiaoyu Zhang et al.
Speculative Coreset Selection for Task-Specific Fine-tuningby Xiaoyu Zhang, Juan Zhai, Shiqing Ma, Chao Shen, Tianlin…
Summary of Towards a Law Of Iterated Expectations For Heuristic Estimators, by Paul Christiano et al.
Towards a Law of Iterated Expectations for Heuristic Estimatorsby Paul Christiano, Jacob Hilton, Andrea Lincoln,…
Summary of Revisiting Hierarchical Text Classification: Inference and Metrics, by Roman Plaud et al.
Revisiting Hierarchical Text Classification: Inference and Metricsby Roman Plaud, Matthieu Labeau, Antoine Saillenfest, Thomas BonaldFirst…
Summary of Rethinking Gnn Expressive Power Research in the Machine Learning Community: Limitations, Issues, and Corrections, by Guanyu Cui et al.
Rethinking GNN Expressive Power Research in the Machine Learning Community: Limitations, Issues, and Correctionsby Guanyu…
Summary of Sampling From Energy-based Policies Using Diffusion, by Vineet Jain et al.
Sampling from Energy-based Policies using Diffusionby Vineet Jain, Tara Akhound-Sadegh, Siamak RavanbakhshFirst submitted to arxiv…
Summary of Fair Class-incremental Learning Using Sample Weighting, by Jaeyoung Park et al.
Fair Class-Incremental Learning using Sample Weightingby Jaeyoung Park, Minsu Kim, Steven Euijong WhangFirst submitted to…