Summary of Forking Paths in Neural Text Generation, by Eric Bigelow et al.
Forking Paths in Neural Text Generationby Eric Bigelow, Ari Holtzman, Hidenori Tanaka, Tomer UllmanFirst submitted…
Forking Paths in Neural Text Generationby Eric Bigelow, Ari Holtzman, Hidenori Tanaka, Tomer UllmanFirst submitted…
Phase-aware Training Schedule Simplifies Learning in Flow-Based Generative Modelsby Santiago Aranguri, Francesco InsullaFirst submitted to…
Distributed Gradient Descent with Many Local Steps in Overparameterized Modelsby Heng Zhu, Harsh Vardhan, Arya…
Scaling Sequential Recommendation Models with Transformersby Pablo Zivic, Hernan Vazquez, Jorge SanchezFirst submitted to arxiv…
Fast Track to Winning Tickets: Repowering One-Shot Pruning for Graph Neural Networksby Yanwei Yue, Guibin…
Sampling from Boltzmann densities with physics informed low-rank formatsby Paul Hagemann, Janina Schütte, David Sommer,…
Offline Multi-Agent Reinforcement Learning via In-Sample Sequential Policy Optimizationby Zongkai Liu, Qian Lin, Chao Yu,…
SurvBETA: Ensemble-Based Survival Models Using Beran Estimators and Several Attention Mechanismsby Lev V. Utkin, Semen…
TraSCE: Trajectory Steering for Concept Erasureby Anubhav Jain, Yuya Kobayashi, Takashi Shibuya, Yuhta Takida, Nasir…
RAZOR: Sharpening Knowledge by Cutting Bias with Unsupervised Text Rewritingby Shuo Yang, Bardh Prenkaj, Gjergji…