Summary of Principled Penalty-based Methods For Bilevel Reinforcement Learning and Rlhf, by Han Shen et al.
Principled Penalty-based Methods for Bilevel Reinforcement Learning and RLHFby Han Shen, Zhuoran Yang, Tianyi ChenFirst…
Principled Penalty-based Methods for Bilevel Reinforcement Learning and RLHFby Han Shen, Zhuoran Yang, Tianyi ChenFirst…
Understanding Test-Time Augmentationby Masanari KimuraFirst submitted to arxiv on: 10 Feb 2024CategoriesMain: Machine Learning (cs.LG)Secondary:…
GenTranslate: Large Language Models are Generative Multilingual Speech and Machine Translatorsby Yuchen Hu, Chen Chen,…
Predictive representations: building blocks of intelligenceby Wilka Carvalho, Momchil S. Tomov, William de Cothi, Caswell…
More than the Sum of Its Parts: Ensembling Backbone Networks for Few-Shot Segmentationby Nico Catalano,…
RQP-SGD: Differential Private Machine Learning through Noisy SGD and Randomized Quantizationby Ce Feng, Parv VenkitasubramaniamFirst…
Feedback Loops With Language Models Drive In-Context Reward Hackingby Alexander Pan, Erik Jones, Meena Jagadeesan,…
The Complexity of Sequential Prediction in Dynamical Systemsby Vinod Raman, Unique Subedi, Ambuj TewariFirst submitted…
SocraSynth: Multi-LLM Reasoning with Conditional Statisticsby Edward Y. ChangFirst submitted to arxiv on: 19 Jan…
Using remotely sensed data for air pollution assessmentby Teresa Bernardino, Maria Alexandra Oliveira, João Nuno…