TASK	DATASET	MODEL	METRIC NAME	METRIC VALUE	GLOBAL RANK
Sentiment Analysis	CR	Block-sparse LSTM	Accuracy	92.2	# 1
Sentiment Analysis	IMDb	Block-sparse LSTM	Accuracy	94.99	# 10
Sentiment Analysis	SST-2 Binary classification	Block-sparse LSTM	Accuracy	93.2	# 23
Sentiment Analysis	Yelp Binary classification	Block-sparse LSTM	Error	3.27	# 10

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GPU Kernels for Block-Sparse Weights

OpenAi 2017 • Scott Gray • Alec Radford and Diederik P. Kingma

We’re releasing highly optimized GPU kernels for an underexplored class of neural network architectures: networks with block-sparse weights. The kernels allow for efficient evaluation and differentiation of linear layers, including convolutional layers, with flexibly configurable block-sparsity patterns in the weight matrix... (read more)

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TASK	DATASET	MODEL	METRIC NAME	METRIC VALUE	GLOBAL RANK	BENCHMARK
Sentiment Analysis	CR	Block-sparse LSTM	Accuracy	92.2	# 1	Compare
Sentiment Analysis	IMDb	Block-sparse LSTM	Accuracy	94.99	# 10	Compare
Sentiment Analysis	SST-2 Binary classification	Block-sparse LSTM	Accuracy	93.2	# 23	Compare
Sentiment Analysis	Yelp Binary classification	Block-sparse LSTM	Error	3.27	# 10	Compare

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