Large language models, physics-based modeling, experimental measurements: the trinity of data-scarce learning of polymer propertiesby…
SafaRi:Adaptive Sequence Transformer for Weakly Supervised Referring Expression Segmentationby Sayan Nag, Koustava Goswami, Srikrishna KaranamFirst…
A Data-Centric Perspective on Evaluating Machine Learning Models for Tabular Databy Andrej Tschalzev, Sascha Marton,…
Evaluating the Role of Data Enrichment Approaches Towards Rare Event Analysis in Manufacturingby Chathurangi Shyalika,…
Smoothed Analysis for Learning Concepts with Low Intrinsic Dimensionby Gautam Chandrasekaran, Adam Klivans, Vasilis Kontonis,…
Establishing Deep InfoMax as an effective self-supervised learning methodology in materials informaticsby Michael Moran, Vladimir…
ARES: Alternating Reinforcement Learning and Supervised Fine-Tuning for Enhanced Multi-Modal Chain-of-Thought Reasoning Through Diverse AI…
Segment Anything without Supervisionby XuDong Wang, Jingfeng Yang, Trevor DarrellFirst submitted to arxiv on: 28…
Towards Reducing Data Acquisition and Labeling for Defect Detection using Simulated Databy Lukas Malte Kemeter,…
MissionGNN: Hierarchical Multimodal GNN-based Weakly Supervised Video Anomaly Recognition with Mission-Specific Knowledge Graph Generationby Sanggeon…