Summary of On Implications Of Scaling Laws on Feature Superposition, by Pavan Katta
On Implications of Scaling Laws on Feature Superpositionby Pavan KattaFirst submitted to arxiv on: 1…
On Implications of Scaling Laws on Feature Superpositionby Pavan KattaFirst submitted to arxiv on: 1…
Scalable Nested Optimization for Deep Learningby Jonathan LorraineFirst submitted to arxiv on: 1 Jul 2024CategoriesMain:…
Fairpriori: Improving Biased Subgroup Discovery for Deep Neural Network Fairnessby Kacy Zhou, Jiawen Wen, Nan…
Physics-Inspired Deep Learning and Transferable Models for Bridge Scour Predictionby Negin Yousefpour, Bo WangFirst submitted…
Revisiting Random Walks for Learning on Graphsby Jinwoo Kim, Olga Zaghen, Ayhan Suleymanzade, Youngmin Ryou,…
Evaluating Model Performance Under Worst-case Subpopulationsby Mike Li, Hongseok Namkoong, Shangzhou XiaFirst submitted to arxiv…
Deep Reinforcement Learning for Adverse Garage Scenario Generationby Kai LiFirst submitted to arxiv on: 1…
On Statistical Rates and Provably Efficient Criteria of Latent Diffusion Transformers (DiTs)by Jerry Yao-Chieh Hu,…
Wind Estimation in Unmanned Aerial Vehicles with Causal Machine Learningby Abdulaziz Alwalan, Miguel Arana-CataniaFirst submitted…
Unaligning Everything: Or Aligning Any Text to Any Image in Multimodal Modelsby Shaeke Salman, Md…