Deep Learning
Leveraging sparse and shared feature activations for disentangled representation learning
However, this is not always the case, as different tasks can compete with each other and lead to weaker models.
Appendix
We summarize our notations in the following table for easy reference.
A Unified Interface to Multiple Human Trajectory
Research in trajectory forecasting (i.e., predicting where an agent will be in the future) has grown
Theoretical and Practical Perspectives on what Influence Functions Do Andrea Schioppa
Influence functions (IF) have been seen as a technique for explaining model predictions through the lens of the training data.
Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defense Kalpesh Krishna Yixiao Song Marzena Karpinska John Wieting Mohit Iyyer
API, looking for sequences that match the candidate text within a certain threshold.
A Single 2D Pose with Context is Worth Hundreds for 3D Human Pose Estimation
Scaling up the input has brought consistent improvements so far, yet some concerns naturally arise.
