Debias-CLR: A Contrastive Learning Based Debiasing Method for Algorithmic Fairness in Healthcare Applicationsby Ankita Agarwal,…
Efficient Alignment of Large Language Models via Data Samplingby Amrit Khera, Rajat Ghosh, Debojyoti DuttaFirst…
Hysteresis Activation Function for Efficient Inferenceby Moshe Kimhi, Idan Kashani, Avi Mendelson, Chaim BaskinFirst submitted…
FengWu-W2S: A deep learning model for seamless weather-to-subseasonal forecast of global atmosphereby Fenghua Ling, Kang…
Machine Learning Algorithms to Assess Site Closure Time Frames for Soil and Groundwater Contaminationby Vu-Anh…
Embedding Byzantine Fault Tolerance into Federated Learning via Virtual Data-Driven Consistency Scoring Pluginby Youngjoon Lee,…
Measuring Non-Adversarial Reproduction of Training Data in Large Language Modelsby Michael Aerni, Javier Rando, Edoardo…
Uncertainty in Supply Chain Digital Twins: A Quantum-Classical Hybrid Approachby Abdullah Abdullah, Fannya Ratana Sandjaja,…
Towards Sample-Efficiency and Generalization of Transfer and Inverse Reinforcement Learning: A Comprehensive Literature Reviewby Hossein…
The Unreasonable Effectiveness of Guidance for Diffusion Modelsby Tim Kaiser, Nikolas Adaloglou, Markus KollmannFirst submitted…