Country
Regularization properties of adversarially-trained linear regression
And, conversely, the minimum-norm interpolator is the solution to adversarial training with a given radius.
Variational Mixture-of-Experts Autoencoders for Multi-Modal Deep Generative Models
Yuge Shi, Siddharth N, Brooks Paige, Philip Torr
Neural Information Processing Systems http://nips.cc/
ClashEval: Quantifying the tug-of-war between an LLM's internal prior and external evidence
GPT -4o, on this dataset and find that LLMs are susceptible to adopting incorrect retrieved content, overriding their own correct prior knowledge over 60% of the time. However, the more unrealistic the retrieved content is (i.e. more deviated from
Non-rigidPointCloudRegistrationwith NeuralDeformationPyramid
Our method achieves advanced partialto-partial non-rigid point cloud registration results onthe4DMatch/4DLoMatch benchmark under both no-learned and supervised settings.
Beyond the Single Neuron Convex Barrier for Neural Network Certification
Gagandeep Singh, Rupanshu Ganvir, Markus Püschel, Martin Vechev
Neural Information Processing Systems http://nips.cc/
Learning Stable Deep Dynamics Models
Neural Information Processing Systems http://nips.cc/
