Continuous Contrastive Learning for Long-Tailed Semi-Supervised Recognitionby Zi-Hao Zhou, Siyuan Fang, Zi-Jing Zhou, Tong Wei,…
Training-free Diffusion Model Alignment with Sampling Demonsby Po-Hung Yeh, Kuang-Huei Lee, Jun-Cheng ChenFirst submitted to…
Reinforcement Learning From Imperfect Corrective Actions And Proxy Rewardsby Zhaohui Jiang, Xuening Feng, Paul Weng,…
Holistic Unlearning Benchmark: A Multi-Faceted Evaluation for Text-to-Image Diffusion Model Unlearningby Saemi Moon, Minjong Lee,…
Network Topology Inference from Smooth Signals Under Partial Observabilityby Chuansen Peng, Hanning Tang, Zhiguo Wang,…
Beyond FVD: Enhanced Evaluation Metrics for Video Generation Qualityby Ge Ya Luo, Gian Mario Favero,…
Improving Distribution Alignment with Diversity-based Samplingby Andrea Napoli, Paul WhiteFirst submitted to arxiv on: 5…
On Eliciting Syntax from Language Models via Hashingby Yiran Wang, Masao UtiyamaFirst submitted to arxiv…
Revisiting the Superficial Alignment Hypothesisby Mohit Raghavendra, Vaskar Nath, Sean HendryxFirst submitted to arxiv on:…
A Probabilistic Perspective on Unlearning and Alignment for Large Language Modelsby Yan Scholten, Stephan Günnemann,…