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Found 8 papers, 7 papers with code
Gradient-based Editing of Memory Examples for Online Task-free Continual Learning
We explore task-free continual learning (CL), in which a model is trained to avoid catastrophic forgetting in the absence of explicit task boundaries or identities.
Visually Grounded Continual Learning of Compositional Phrases
To study this human-like language acquisition ability, we present VisCOLL, a visually grounded language learning task, which simulates the continual acquisition of compositional phrases from streaming visual scenes.
A Benchmark for Structured Procedural Knowledge Extraction from Cooking Videos
Watching instructional videos are often used to learn about procedures.
Improving BERT Fine-tuning with Embedding Normalization
Large pre-trained sentence encoders like BERT start a new chapter in natural language processing.
Towards Hierarchical Importance Attribution: Explaining Compositional Semantics for Neural Sequence Models
Human and metrics evaluation on both LSTM models and BERT Transformer models on multiple datasets show that our algorithms outperform prior hierarchical explanation algorithms.
NERO: A Neural Rule Grounding Framework for Label-Efficient Relation Extraction
The soft matching module learns to match rules with semantically similar sentences such that raw corpora can be automatically labeled and leveraged by the RE module (in a much better coverage) as augmented supervision, in addition to the exactly matched sentences.
Eliciting Knowledge from Experts: Automatic Transcript Parsing for Cognitive Task Analysis
To reduce human efforts and scale the process, automated CTA transcript parsing is desirable.
Eliciting Knowledge from Experts:Automatic Transcript Parsing for Cognitive Task Analysis
To reduce human efforts and scale the process, automated CTA transcript parsing is desirable.
