Technology
Verified Uncertainty Calibration
Ananya Kumar, Percy S. Liang, Tengyu Ma
Neural Information Processing Systems http://nips.cc/
Multi-relationalPoincarรฉGraphEmbeddings
Hyperbolic embeddings haverecently gained attention in machine learning due totheir ability torepresent hierarchical data more accurately and succinctly than their Euclidean analogues.
Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels
Neural Information Processing Systems http://nips.cc/
Low-rank Interaction with Sparse Additive Effects Model for Large Data Frames
Geneviรจve Robin, Hoi-To Wai, Julie Josse, Olga Klopp, Eric Moulines
In this paper, we introduce alowrank interaction and sparse additive effects(LORIS) model which combines matrix regression on a dictionary and low-rank design, to estimate main effects andinteractions simultaneously.
Multiclass Learning from Contradictions
Sauptik Dhar, Vladimir Cherkassky, Mohak Shah
Neural Information Processing Systems http://nips.cc/
Efficient Potential-based Exploration in Reinforcement Learning using Inverse Dynamic Bisimulation Metric
While a number of RL methods have been proposed to boost exploration by designing an intrinsic reward signal as exploration bonus.
DFNets: Spectral CNNs for Graphs with Feedback-Looped Filters
W. O. K. Asiri Suranga Wijesinghe, Qing Wang
Neural Information Processing Systems http://nips.cc/