Summary of Distributional Dataset Distillation with Subtask Decomposition, by Tian Qin et al.
Distributional Dataset Distillation with Subtask Decompositionby Tian Qin, Zhiwei Deng, David Alvarez-MelisFirst submitted to arxiv…
Summary of Seeing Unseen: Discover Novel Biomedical Concepts Via Geometry-constrained Probabilistic Modeling, by Jianan Fan et al.
Seeing Unseen: Discover Novel Biomedical Concepts via Geometry-Constrained Probabilistic Modelingby Jianan Fan, Dongnan Liu, Hang…
Summary of A Library Of Mirrors: Deep Neural Nets in Low Dimensions Are Convex Lasso Models with Reflection Features, by Emi Zeger et al.
A Library of Mirrors: Deep Neural Nets in Low Dimensions are Convex Lasso Models with…
Summary of Graphrcg: Self-conditioned Graph Generation, by Song Wang et al.
GraphRCG: Self-Conditioned Graph Generationby Song Wang, Zhen Tan, Xinyu Zhao, Tianlong Chen, Huan Liu, Jundong…
Summary of Neural Field Classifiers Via Target Encoding and Classification Loss, by Xindi Yang et al.
Neural Field Classifiers via Target Encoding and Classification Lossby Xindi Yang, Zeke Xie, Xiong Zhou,…
Summary of Continuous Mean-zero Disagreement-regularized Imitation Learning (cmz-dril), by Noah Ford et al.
Continuous Mean-Zero Disagreement-Regularized Imitation Learning (CMZ-DRIL)by Noah Ford, Ryan W. Gardner, Austin Juhl, Nathan LarsonFirst…
Summary of Teaching Mlp More Graph Information: a Three-stage Multitask Knowledge Distillation Framework, by Junxian Li et al.
Teaching MLP More Graph Information: A Three-stage Multitask Knowledge Distillation Frameworkby Junxian Li, Bin Shi,…
Summary of Extracting Usable Predictions From Quantized Networks Through Uncertainty Quantification For Ood Detection, by Rishi Singhal and Srinath Srinivasan
Extracting Usable Predictions from Quantized Networks through Uncertainty Quantification for OOD Detectionby Rishi Singhal, Srinath…
Summary of Lab: Large-scale Alignment For Chatbots, by Shivchander Sudalairaj et al.
LAB: Large-Scale Alignment for ChatBotsby Shivchander Sudalairaj, Abhishek Bhandwaldar, Aldo Pareja, Kai Xu, David D.…
Summary of Cool: a Conjoint Perspective on Spatio-temporal Graph Neural Network For Traffic Forecasting, by Wei Ju et al.
COOL: A Conjoint Perspective on Spatio-Temporal Graph Neural Network for Traffic Forecastingby Wei Ju, Yusheng…