Summary of Adaptive Teachers For Amortized Samplers, by Minsu Kim et al.
Adaptive teachers for amortized samplersby Minsu Kim, Sanghyeok Choi, Taeyoung Yun, Emmanuel Bengio, Leo Feng,…
Summary of Dlp-lora: Efficient Task-specific Lora Fusion with a Dynamic, Lightweight Plugin For Large Language Models, by Yuxuan Zhang et al.
DLP-LoRA: Efficient Task-Specific LoRA Fusion with a Dynamic, Lightweight Plugin for Large Language Modelsby Yuxuan…
Summary of Uncertainty-aware Human Mobility Modeling and Anomaly Detection, by Haomin Wen et al.
Uncertainty-aware Human Mobility Modeling and Anomaly Detectionby Haomin Wen, Shurui Cao, Leman AkogluFirst submitted to…
Summary of Statistical Inference on Black-box Generative Models in the Data Kernel Perspective Space, by Hayden Helm and Aranyak Acharyya and Brandon Duderstadt and Youngser Park and Carey E. Priebe
Statistical inference on black-box generative models in the data kernel perspective spaceby Hayden Helm, Aranyak…
Summary of Using Interleaved Ensemble Unlearning to Keep Backdoors at Bay For Finetuning Vision Transformers, by Zeyu Michael Li
Using Interleaved Ensemble Unlearning to Keep Backdoors at Bay for Finetuning Vision Transformersby Zeyu Michael…
Summary of Squeeze-and-remember Block, by Rinor Cakaj et al.
Squeeze-and-Remember Blockby Rinor Cakaj, Jens Mehnert, Bin YangFirst submitted to arxiv on: 1 Oct 2024CategoriesMain:…
Summary of Stgformer: Efficient Spatiotemporal Graph Transformer For Traffic Forecasting, by Hongjun Wang et al.
STGformer: Efficient Spatiotemporal Graph Transformer for Traffic Forecastingby Hongjun Wang, Jiyuan Chen, Tong Pan, Zheng…
Summary of Characterizing and Efficiently Accelerating Multimodal Generation Model Inference, by Yejin Lee et al.
Characterizing and Efficiently Accelerating Multimodal Generation Model Inferenceby Yejin Lee, Anna Sun, Basil Hosmer, Bilge…
Summary of Demonstrating the Continual Learning Capabilities and Practical Application Of Discrete-time Active Inference, by Rithvik Prakki
Demonstrating the Continual Learning Capabilities and Practical Application of Discrete-Time Active Inferenceby Rithvik PrakkiFirst submitted…
Summary of Best Practices For Responsible Machine Learning in Credit Scoring, by Giovani Valdrighi et al.
Best Practices for Responsible Machine Learning in Credit Scoringby Giovani Valdrighi, Athyrson M. Ribeiro, Jansen…