Summary of Relational Prompt-based Pre-trained Language Models For Social Event Detection, by Pu Li et al.
Relational Prompt-based Pre-trained Language Models for Social Event Detectionby Pu Li, Xiaoyan Yu, Hao Peng,…
Summary of Toward a Theory Of Tokenization in Llms, by Nived Rajaraman and Jiantao Jiao and Kannan Ramchandran
Toward a Theory of Tokenization in LLMsby Nived Rajaraman, Jiantao Jiao, Kannan RamchandranFirst submitted to…
Summary of Learning to Rebalance Multi-modal Optimization by Adaptively Masking Subnetworks, By Yang Yang et al.
Learning to Rebalance Multi-Modal Optimization by Adaptively Masking Subnetworksby Yang Yang, Hongpeng Pan, Qing-Yuan Jiang,…
Summary of Nc-ttt: a Noise Contrastive Approach For Test-time Training, by David Osowiechi and Gustavo A. Vargas Hakim and Mehrdad Noori and Milad Cheraghalikhani and Ali Bahri and Moslem Yazdanpanah and Ismail Ben Ayed and Christian Desrosiers
NC-TTT: A Noise Contrastive Approach for Test-Time Trainingby David Osowiechi, Gustavo A. Vargas Hakim, Mehrdad…
Summary of Graph Data Augmentation with Gromow-wasserstein Barycenters, by Andrea Ponti
Graph data augmentation with Gromow-Wasserstein Barycentersby Andrea PontiFirst submitted to arxiv on: 12 Apr 2024CategoriesMain:…
Summary of A Complexity Map Of Probabilistic Reasoning For Neurosymbolic Classification Techniques, by Arthur Ledaguenel et al.
A Complexity Map of Probabilistic Reasoning for Neurosymbolic Classification Techniquesby Arthur Ledaguenel, Céline Hudelot, Mostepha…
Summary of Data-driven Preference Sampling For Pareto Front Learning, by Rongguang Ye et al.
Data-Driven Preference Sampling for Pareto Front Learningby Rongguang Ye, Lei Chen, Weiduo Liao, Jinyuan Zhang,…
Summary of Seismic First Break Picking in a Higher Dimension Using Deep Graph Learning, by Hongtao Wang et al.
Seismic First Break Picking in a Higher Dimension Using Deep Graph Learningby Hongtao Wang, Li…
Summary of Adapterswap: Continuous Training Of Llms with Data Removal and Access-control Guarantees, by William Fleshman et al.
AdapterSwap: Continuous Training of LLMs with Data Removal and Access-Control Guaranteesby William Fleshman, Aleem Khan,…
Summary of Sir-rl: Reinforcement Learning For Optimized Policy Control During Epidemiological Outbreaks in Emerging Market and Developing Economies, by Maeghal Jain et al.
SIR-RL: Reinforcement Learning for Optimized Policy Control during Epidemiological Outbreaks in Emerging Market and Developing…