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07/31/2022
Building an Efficiency Pipeline: Commutativity and Cumulativeness of Efficiency Operators for Transformers
There exists a wide variety of efficiency methods for natural language p...
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06/23/2022
Few-Shot Non-Parametric Learning with Deep Latent Variable Model
Most real-world problems that machine learning algorithms are expected t...
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10/14/2021
Zero-Shot Dense Retrieval with Momentum Adversarial Domain Invariant Representations
Dense retrieval (DR) methods conduct text retrieval by first encoding te...
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12/27/2020
Inserting Information Bottlenecks for Attribution in Transformers
Pretrained transformers achieve the state of the art across tasks in nat...
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04/28/2020
Showing Your Work Doesn't Always Work
In natural language processing, a recently popular line of work explores...
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04/27/2020
DeeBERT: Dynamic Early Exiting for Accelerating BERT Inference
Large-scale pre-trained language models such as BERT have brought signif...
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11/15/2019