Summary of Can Transformers Do Enumerative Geometry?, by Baran Hashemi et al.
Can Transformers Do Enumerative Geometry?by Baran Hashemi, Roderic G. Corominas, Alessandro GiacchettoFirst submitted to arxiv…
Summary of Prior-free Balanced Replay: Uncertainty-guided Reservoir Sampling For Long-tailed Continual Learning, by Lei Liu and Li Liu and Yawen Cui
Prior-free Balanced Replay: Uncertainty-guided Reservoir Sampling for Long-Tailed Continual Learningby Lei Liu, Li Liu, Yawen…
Summary of Cross-modal Learning For Chemistry Property Prediction: Large Language Models Meet Graph Machine Learning, by Sakhinana Sagar Srinivas et al.
Cross-Modal Learning for Chemistry Property Prediction: Large Language Models Meet Graph Machine Learningby Sakhinana Sagar…
Summary of Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold, by Lazar Atanackovic et al.
Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifoldby Lazar Atanackovic, Xi Zhang, Brandon…
Summary of Efficient Fine-tuning Of 37-level Graphcast with the Canadian Global Deterministic Analysis, by Christopher Subich
Efficient fine-tuning of 37-level GraphCast with the Canadian global deterministic analysisby Christopher SubichFirst submitted to…
Summary of General Targeted Machine Learning For Modern Causal Mediation Analysis, by Richard Liu et al.
General targeted machine learning for modern causal mediation analysisby Richard Liu, Nicholas T. Williams, Kara…
Summary of Biased Dueling Bandits with Stochastic Delayed Feedback, by Bongsoo Yi et al.
Biased Dueling Bandits with Stochastic Delayed Feedbackby Bongsoo Yi, Yue Kang, Yao LiFirst submitted to…
Summary of Kgprune: a Web Application to Extract Subgraphs Of Interest From Wikidata with Analogical Pruning, by Pierre Monnin et al.
KGPrune: a Web Application to Extract Subgraphs of Interest from Wikidata with Analogical Pruningby Pierre…
Summary of Hybrid Deep Convolutional Neural Networks Combined with Autoencoders and Augmented Data to Predict the Look-up Table 2006, by Messaoud Djeddou et al.
Hybrid Deep Convolutional Neural Networks Combined with Autoencoders And Augmented Data To Predict The Look-Up…
Summary of Can Optimization Trajectories Explain Multi-task Transfer?, by David Mueller et al.
Can Optimization Trajectories Explain Multi-Task Transfer?by David Mueller, Mark Dredze, Nicholas AndrewsFirst submitted to arxiv…