Paper_ID stringlengths 10 10 | Question stringlengths 201 1.81k | ocr_output stringlengths 252 54k ⌀ |
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LhNZqkuVte | The paper mentions that HyperMask has some limitations in terms of memory consumption due to the requirement for the hypernetwork's output layer to match the number of parameters in the target network. Are there any potential strategies or approaches to mitigate this memory consumption issue? | HYPERMASK: ADAPTIVE HYPERNETWORK-BASED MASKS FOR CONTINUAL LEARNING
Anonymous authors
Paper under double-blind review
ABSTRACT
Artificial neural networks suffer from catastrophic forgetting when they are sequentially trained on multiple tasks. To overcome this problem, there exist many continual learning strategies.... |
IAkflJmNrC | What is the reference model for semantic calculation used in sec 3.3 and sec 4? If I am understanding correctly, in section 4, you are using the base sentence embedding model without further finetuning as the reference model. Is it the same in sec 3.3? | Polarity-Aware Semantic Retrieval with Fine-Tuned Sentence Embeddings
Anonymous authors
Paper under double-blind review
Abstract
This paper investigates the effectiveness of retrieving sentences with multiple objectives – polarity and similarity – by fine-tuning sentence-transformer models on augmented supervised da... |
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