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Found 4 papers, 2 papers with code
Swapped goal-conditioned offline reinforcement learning
Offline goal-conditioned reinforcement learning (GCRL) can be challenging due to overfitting to the given dataset.
Simultaneously Learning Architectures and Features of Deep Neural Networks
This paper presents a novel method which simultaneously learns the number of filters and network features repeatedly over multiple epochs.
Translate-to-Recognize Networks for RGB-D Scene Recognition
Empirically, we verify that this new semi-supervised setting is able to further enhance the performance of recognition network.
Semi-Supervised Domain Adaptation for Weakly Labeled Semantic Video Object Segmentation
We propose a semi-supervised approach to adapting CNN image recognition model trained from labeled image data to the target domain exploiting both semantic evidence learned from CNN, and the intrinsic structures of video data.
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