proximity
Few-shotImageGenerationvia Adaptation-AwareKernelModulation
As our first contribution, we revisit recent FSIG works and their experiments.
- Information Technology > Artificial Intelligence > Vision (1.00)
- Information Technology > Artificial Intelligence > Representation & Reasoning (1.00)
- Information Technology > Artificial Intelligence > Natural Language (1.00)
- Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning (0.68)
Clustering Redemption–Beyond the Impossibility of Kleinberg’s Axioms
Vincent Cohen-Addad, Varun Kanade, Frederik Mallmann-Trenn
Neural Information Processing Systems http://nips.cc/
- North America > Canada > Quebec > Montreal (0.04)
- North America > United States > Massachusetts > Middlesex County > Cambridge (0.04)
- North America > United States > District of Columbia > Washington (0.04)
- Europe > United Kingdom > England > Oxfordshire > Oxford (0.04)
Curriculum-guided Hindsight Experience Replay
Meng Fang, Tianyi Zhou, Yali Du, Lei Han, Zhengyou Zhang
Neural Information Processing Systems http://nips.cc/
- North America > Canada (0.04)
- Europe > Italy (0.04)
Few-shotImageGenerationvia Adaptation-AwareKernelModulation--Supplementary -- Overview
Onthe other hand, FSIG with extremely limited data(10samples) poses unique challenges. Inparticular, as pointed out in [4,5], severe mode collapse and loss in diversity are critical challenges in FSIG that require special attention. We remark that in [12], a technique called AdaFM is introduced to update kernels.
GeneralizableImitationLearningfromObservation viaInferringGoalProximity
Task progress is intuitive and readily available task information that can guide an agent closer to the desired goal.
1d0bcb52067128f826c86db234280dce-Paper-Conference.pdf
The code is available at https://github.com/ml-ml/Link-MoE/.
ImprovingContrastiveLearningonImbalancedSeed DataviaOpen-WorldSampling
Contrastive learning approaches have achieved great success in learning visual representations with few labels of the target classes.