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Learning with SGD and Random Features
Luigi Carratino, Alessandro Rudi, Lorenzo Rosasco
Neural Information Processing Systems http://nips.cc/
Distributed Learning without Distress: Privacy-Preserving Empirical Risk Minimization
Bargav Jayaraman, Lingxiao Wang, David Evans, Quanquan Gu
Neural Information Processing Systems http://nips.cc/
Continuous-time Models for Stochastic Optimization Algorithms
Antonio Orvieto, Aurelien Lucchi
Neural Information Processing Systems http://nips.cc/
Semantic Image Synthesis with Unconditional Generator
Then we introduce a semantic mapper that produces the proxy masks from various input conditions including semantic masks.
GraphFew-shotLearningwith Task-specificStructures
Graph few-shot learning is of great importance among various graph learning tasks. Under thefew-shot scenario, models areoftenrequired toconduct classification givenlimited labeled samples. Existing graph few-shot learning methods typically leverage Graph Neural Networks (GNNs) and perform classification across a series of meta-tasks. Nevertheless, these methods generally rely on the original graph (i.e., the graph that the meta-task is sampled from) to learn node representations.
The 10 Best Shows to Stream Right Now (February 2026)
No matter how well your favorite streaming service's algorithm knows you, come February, sometimes even the smartest technology can be swayed by the power of Valentine's Day. But love--romantic or otherwise--can be found in the oddest of places, including the radioactive wasteland of postapocalyptic Los Angeles, Westeros in the rare midst of relative peace, or behind the scenes of the latest MCU blockbuster. Whether you're in the mood for a reliable sci-fi gem or an enlightening new docuseries courtesy of director Josh Safdie, February's streaming lineup offers plenty of options to swoon over. Here are the 10 shows we're falling for right now. Picking up from roughly where Bryan Fuller and Alex Kurtzman's left off when it ended in 2024, might be best described as for the TikTok age or simply the franchise's horniest iteration.
Explicit Tradeoffs between Adversarial and Natural Distributional Robustness
Results averaged over ResNet18 and ResNet50.
'Pew Pew': The Chinese Companies Marketing Anti-Drone Weapons on TikTok
On TikTok, Chinese manufacturers are advertising signal-blocking weapons with the breezy cadence of consumer lifestyle advertising. "Pew, pew, pew!" a woman wearing sneakers and high-waisted pink trousers says cheerfully in a video uploaded to TikTok. She is standing on what appears to be an industrial rooftop while demonstrating how to use a black device resembling an oversized laser tag gun. "Jamming gun, good," she adds, flashing a thumbs up. These days, nearly any product imaginable is available for purchase on TikTok straight from Chinese factories, ranging from industrial chemicals to mystical crystals and custom pilates reformers.