Technology
Dimension-Free Bounds for Low-Precision Training
Zheng Li, Christopher M. De Sa
Neural Information Processing Systems http://nips.cc/
Exploring Token Pruning in Vision State Space Models
We first introduce a pruning-aware hidden state alignment method to stabilize the neighborhood of remaining tokens for performance enhancement.
Binary Classification from Positive-Confidence Data
Takashi Ishida, Gang Niu, Masashi Sugiyama
Neural Information Processing Systems http://nips.cc/
Sim2real transfer learning for 3D human pose estimation: motion to the rescue
Carl Doersch, Andrew Zisserman
Synthetic visual data can provide practically infinite diversity and rich labels, while avoiding ethical issues with privacy and bias.
Scalable Primal-Dual Actor-Critic Method for Safe Multi-Agent RL with General Utilities
In fact, the interaction of these two aspects requires addressing the fact that each agent's own safety constraint requires information from all others.
Scalable Primal-Dual Actor-Critic Method for Safe Multi-Agent RL with General Utilities
In fact, the interaction of these two aspects requires addressing the fact that each agent's own safety constraint requires information from all others.
Algebraic tests of general Gaussian latent tree models
Neural Information Processing Systems http://nips.cc/
