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Improving CLIP Training with Language Rewrites Lijie Fan
Such asymmetry presents two issues.
Latent distance estimation for random geometric graphs
Ernesto Araya Valdivia, De Castro Yohann
Neural Information Processing Systems http://nips.cc/
HOGWILD!-Gibbs can be PanAccurate
Constantinos Daskalakis, Nishanth Dikkala, Siddhartha Jayanti
Asynchronous Gibbs sampling has been recently shown to be fast-mixing and an accurate method for estimating probabilities of events on a small number of variables of a graphical model satisfying Dobrushin's condition [DSOR16].
Discovering Creative Behaviors through DUPLEX: Diverse Universal Features for Policy Exploration
The ability to approach the same problem from different angles is a cornerstone of human intelligence that leads to robust solutions and effective adaptation to problem variations. In contrast, current RL methodologies tend to lead to policies that settle on a single solution to a given problem, making them brittle to problem variations. Replicating human flexibility in reinforcement learning agents is the challenge that we explore in this work.
A Step Toward Quantifying Independently Reproducible Machine Learning Research
Neural Information Processing Systems http://nips.cc/
Representation Learning for Treatment Effect Estimation from Observational Data
Liuyi Yao, Sheng Li, Yaliang Li, Mengdi Huai, Jing Gao, Aidong Zhang
Neural Information Processing Systems http://nips.cc/
Domes to Drones: Self-Supervised Active Triangulation for 3D Human Pose Reconstruction
In contrast, 3d pose estimation from a single image is ill-posed due to occlusion and depth ambiguities.