Oceania
Category Anchor-Guided Unsupervised Domain Adaptation for Semantic Segmentation
Qiming ZHANG, Jing Zhang, Wei Liu, Dacheng Tao
Unsupervised domain adaptation (UDA) aims to enhance the generalization capability ofacertain model from asource domain toatargetdomain.
Leveraged volume sampling for linear regression
Michal Derezinski, Manfred K. K. Warmuth, Daniel J. Hsu
Pd i=1(1 li) (see (8)), whereli = x>i (X>X) 1xi isthei-thleveragescoreofX. Here, weshow(3).
Poincarรฉ Recurrence, Cycles and Spurious Equilibria in Gradient-Descent-Ascent for Non-Convex Non-Concave Zero-Sum Games
Emmanouil-Vasileios Vlatakis-Gkaragkounis, Lampros Flokas, Georgios Piliouras
Neural Information Processing Systems http://nips.cc/
Sanity Checks for Saliency Maps
Julius Adebayo, Justin Gilmer, Michael Muelly, Ian Goodfellow, Moritz Hardt, Been Kim
Through extensive experiments we show that some existing saliency methods are independent both of the model and of the data generating process.
Delving V
Byaproperscalingofthedistance, ourproposed Maximum Concept Matching (MCM) scoreachievesstrong ID-OODseparability (see Figure 1). Thereexistsoverlappingregions (shown w); Right: Cosinesimilaritiesbetween OODinIDconceptvectors.
Channel Gating Neural Networks
Weizhe Hua, Yuan Zhou, Christopher M. De Sa, Zhiru Zhang, G. Edward Suh
Unlike static network pruning, channel gating optimizes CNN inference atrun-time byexploiting input-specific characteristics, which allows substantially reducing the compute cost with almost no accuracyloss.
Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction
Roei Herzig, Moshiko Raboh, Gal Chechik, Jonathan Berant, Amir Globerson
Neural Information Processing Systems http://nips.cc/