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Found 4 papers, 2 papers with code
Improving Korean NLP Tasks with Linguistically Informed Subword Tokenization and Sub-character Decomposition
We introduce a morpheme-aware subword tokenization method that utilizes sub-character decomposition to address the challenges of applying Byte Pair Encoding (BPE) to Korean, a language characterized by its rich morphology and unique writing system.
Pruning Self-Attention for Zero-Shot Multi-Speaker Text-to-Speech
To this end, the baseline TTS model needs to be amply generalized to out-of-domain data (i. e., target speaker's speech).
BOIL: Towards Representation Change for Few-shot Learning
It has recently been hypothesized that representation reuse, which makes little change in efficient representations, is the dominant factor in the performance of the meta-initialized model through MAML in contrast to representation change, which causes a significant change in representations.
Where to relocate?: Object rearrangement inside cluttered and confined environments for robotic manipulation
We present an algorithm determining where to relocate objects inside a cluttered and confined space while rearranging objects to retrieve a target object.
Robotics
