Summary of Lico: Large Language Models For In-context Molecular Optimization, by Tung Nguyen and Aditya Grover
LICO: Large Language Models for In-Context Molecular Optimizationby Tung Nguyen, Aditya GroverFirst submitted to arxiv…
Summary of Fine-tuned Network Relies on Generic Representation to Solve Unseen Cognitive Task, by Dongyan Lin
Fine-tuned network relies on generic representation to solve unseen cognitive taskby Dongyan LinFirst submitted to…
Summary of Visual Analysis Of Prediction Uncertainty in Neural Networks For Deep Image Synthesis, by Soumya Dutta and Faheem Nizar and Ahmad Amaan and Ayan Acharya
Visual Analysis of Prediction Uncertainty in Neural Networks for Deep Image Synthesisby Soumya Dutta, Faheem…
Summary of Genrl: Multimodal-foundation World Models For Generalization in Embodied Agents, by Pietro Mazzaglia et al.
GenRL: Multimodal-foundation world models for generalization in embodied agentsby Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt,…
Summary of Sparse Deep Neural Networks For Nonparametric Estimation in High-dimensional Sparse Regression, by Dongya Wu and Xin Li
Sparse deep neural networks for nonparametric estimation in high-dimensional sparse regressionby Dongya Wu, Xin LiFirst…
Summary of Linscan — a Linearity Based Clustering Algorithm, by Andrew Dennehy et al.
LINSCAN – A Linearity Based Clustering Algorithmby Andrew Dennehy, Xiaoyu Zou, Shabnam J. Semnani, Yuri…
Summary of Mt2st: Adaptive Multi-task to Single-task Learning, by Dong Liu et al.
MT2ST: Adaptive Multi-Task to Single-Task Learningby Dong Liu, Yanxuan YuFirst submitted to arxiv on: 26…
Summary of Et Tu, Clip? Addressing Common Object Errors For Unseen Environments, by Ye Won Byun et al.
ET tu, CLIP? Addressing Common Object Errors for Unseen Environmentsby Ye Won Byun, Cathy Jiao,…
Summary of Compositional Models For Estimating Causal Effects, by Purva Pruthi and David Jensen
Compositional Models for Estimating Causal Effectsby Purva Pruthi, David JensenFirst submitted to arxiv on: 25…
Summary of Learning on Transformers Is Provable Low-rank and Sparse: a One-layer Analysis, by Hongkang Li et al.
Learning on Transformers is Provable Low-Rank and Sparse: A One-layer Analysisby Hongkang Li, Meng Wang,…