Summary of Pixel-space Post-training Of Latent Diffusion Models, by Christina Zhang et al.
Pixel-Space Post-Training of Latent Diffusion Modelsby Christina Zhang, Simran Motwani, Matthew Yu, Ji Hou, Felix…
Pixel-Space Post-Training of Latent Diffusion Modelsby Christina Zhang, Simran Motwani, Matthew Yu, Ji Hou, Felix…
Exploring Information-Theoretic Metrics Associated with Neural Collapse in Supervised Trainingby Kun Song, Zhiquan Tan, Bochao…
Task Addition in Multi-Task Learning by Geometrical Alignmentby Soorin Yim, Dae-Woong Jeong, Sung Moon Ko,…
Deep Learning for Precision Agriculture: Post-Spraying Evaluation and Deposition Estimationby Harry Rogers, Tahmina Zebin, Grzegorz…
UDA-Bench: Revisiting Common Assumptions in Unsupervised Domain Adaptation Using a Standardized Frameworkby Tarun Kalluri, Sreyas…
Style Outweighs Substance: Failure Modes of LLM Judges in Alignment Benchmarkingby Benjamin Feuer, Micah Goldblum,…
BRep Boundary and Junction Detection for CAD Reverse Engineeringby Sk Aziz Ali, Mohammad Sadil Khan,…
Beauty Beyond Words: Explainable Beauty Product Recommendations Using Ingredient-Based Product Attributesby Siliang Liu, Rahul Suresh,…
Improving generalisability of 3D binding affinity models in low data regimesby Julia Buhmann, Ward Haddadin,…
Counterfactual Explanations for Clustering Modelsby Aurora Spagnol, Kacper Sokol, Pietro Barbiero, Marc Langheinrich, Martin GjoreskiFirst…