Search Results for author:
Found 8 papers, 1 papers with code
Bypassing Logits Bias in Online Class-Incremental Learning with a Generative Framework
In our framework, a generative classifier which utilizes replay memory is used for inference, and the training objective is a pair-based metric learning loss which is proven theoretically to optimize the feature space in a generative way.
Self-Supervised Learning Aided Class-Incremental Lifelong Learning
Lifelong or continual learning remains to be a challenge for artificial neural network, as it is required to be both stable for preservation of old knowledge and plastic for acquisition of new knowledge.
Generative Feature Replay with Orthogonal Weight Modification for Continual Learning
For this scenario, generative replay is a promising strategy which generates and replays pseudo data for previous tasks to alleviate catastrophic forgetting.
Leap-LSTM: Enhancing Long Short-Term Memory for Text Categorization
Compared to previous models which can also skip words, our model achieves better trade-offs between performance and efficiency.
Learning to Compose over Tree Structures via POS Tags
Recursive Neural Network (RecNN), a type of models which compose words or phrases recursively over syntactic tree structures, has been proven to have superior ability to obtain sentence representation for a variety of NLP tasks.
A Novel Framework for Recurrent Neural Networks with Enhancing Information Processing and Transmission between Units
This paper proposes a novel framework for recurrent neural networks (RNNs) inspired by the human memory models in the field of cognitive neuroscience to enhance information processing and transmission between adjacent RNNs' units.
A Gap-Based Framework for Chinese Word Segmentation via Very Deep Convolutional Networks
However, if we consider segmenting a given sentence, the most intuitive idea is to predict whether to segment for each gap between two consecutive characters, which in comparison makes previous approaches seem too complex.
Inter-Weighted Alignment Network for Sentence Pair Modeling
Sentence pair modeling is a crucial problem in the field of natural language processing.
