Improving Zero-shot Generalization of Learned Prompts via Unsupervised Knowledge Distillationby Marco Mistretta, Alberto Baldrati, Marco…
FairJob: A Real-World Dataset for Fairness in Online Systemsby Mariia Vladimirova, Federico Pavone, Eustache DiemertFirst…
Warm-up Free Policy Optimization: Improved Regret in Linear Markov Decision Processesby Asaf Cassel, Aviv RosenbergFirst…
LLMs Plagiarize: Ensuring Responsible Sourcing of Large Language Model Training Data Through Knowledge Graph Comparisonby…
Uniform Transformation: Refining Latent Representation in Variational Autoencodersby Ye Shi, C.S. George LeeFirst submitted to…
No Training, No Problem: Rethinking Classifier-Free Guidance for Diffusion Modelsby Seyedmorteza Sadat, Manuel Kansy, Otmar…
Accelerating Distributed Optimization: A Primal-Dual Perspective on Local Stepsby Junchi Yang, Murat Yildirim, Qiu FengFirst…
LLM-Select: Feature Selection with Large Language Modelsby Daniel P. Jeong, Zachary C. Lipton, Pradeep RavikumarFirst…
A simple algorithm for output range analysis for deep neural networksby Helder Rojas, Nilton Rojas,…
Advancing Compressed Video Action Recognition through Progressive Knowledge Distillationby Efstathia Soufleri, Deepak Ravikumar, Kaushik RoyFirst…