Asia
GAMA: GenerativeAdversarialMulti-Object SceneAttacks
On the other hand, natural scenes include multiple dominant objects that are semantically related.
A Simple Remedy for Dataset Bias via Self-Influence: A Mislabeled Sample Perspective Y eonsung Jung
However, spurious correlation remains an ongoing challenge, primarily due to the difficulty in precisely detecting these samples.
LAPO: Latent-VariableAdvantage-WeightedPolicy OptimizationforOfflineReinforcementLearning
But in practice, it requires querying the behavior policy which is unknown, and using an erroneous approximation of the behavior policy can negatively affect the performance ([39]).
You Only Propagate Once: Accelerating Adversarial Training via Maximal Principle
Dinghuai Zhang, Tianyuan Zhang, Yiping Lu, Zhanxing Zhu, Bin Dong
Neural Information Processing Systems http://nips.cc/
Coresets for Clustering with Fairness Constraints
Lingxiao Huang, Shaofeng Jiang, Nisheeth Vishnoi
Neural Information Processing Systems http://nips.cc/
Optimal-state Dynamics Estimation for Physics-based Human Motion Capture from Videos
However, modern approaches often produce temporal artifacts, e.g.
ExplainMySurprise: LearningEfficientLong-Term MemorybyPredictingUncertainOutcomes
In many sequential tasks, a model needs to remember relevant events from the distant past to make correct predictions. Unfortunately, a straightforward application ofgradient based training requires intermediate computations tobestored for every element of a sequence. This requires to store prohibitively large intermediate data ifasequence consists ofthousands oreven millions elements, and asaresult, makeslearning ofverylong-term dependencies infeasible.
Optimal Analysis of Subset-Selection Based L_p Low-Rank Approximation
Chen Dan, Hong Wang, Hongyang Zhang, Yuchen Zhou, Pradeep K. Ravikumar
Neural Information Processing Systems http://nips.cc/
