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20192023
most citedOliVe: Accelerating Large Language Models via Hardware-friendly Outlier-Victim Pair Quantization

150 citations · 384 across the 31 of their papers we have counts for

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Showing 2022Show all

15 papers · 1 filter

cs.LG2022

One-shot Machine Teaching: Cost Very Few Examples to Converge Faster

Chen Zhang, Xiaofeng Cao, Yi Chang +1

Artificial intelligence is to teach machines to take actions like humans. To achieve intelligent teaching, the machine learning community becomes to think about a promising topic n…

cs.LG2022★ 4 cited

Rhino: Deep Causal Temporal Relationship Learning With History-dependent Noise

Wenbo Gong, Joel Jennings, Cheng Zhang +1

Discovering causal relationships between different variables from time series data has been a long-standing challenge for many domains such as climate science, finance, and healthc…

cs.CL2022★ 2 cited

Sparse Teachers Can Be Dense with Knowledge

Yi Yang, Chen Zhang, Dawei Song

Recent advances in distilling pretrained language models have discovered that, besides the expressiveness of knowledge, the student-friendliness should be taken into consideration…

cs.CL2022★ 2 cited

XPrompt: Exploring the Extreme of Prompt Tuning

Fang Ma, Chen Zhang, Lei Ren +5

Prompt tuning learns soft prompts to condition frozen Pre-trained Language Models (PLMs) for performing downstream tasks in a parameter-efficient manner. While prompt tuning has gr…

cs.LG2022

Nesting Forward Automatic Differentiation for Memory-Efficient Deep Neural Network Training

Cong Guo, Yuxian Qiu, Jingwen Leng +6

An activation function is an element-wise mathematical function and plays a crucial role in deep neural networks (DNN). Many novel and sophisticated activation functions have been…

cs.CL2022★ 7 cited

Structural Bias for Aspect Sentiment Triplet Extraction

Chen Zhang, Lei Ren, Fang Ma +3

Structural bias has recently been exploited for aspect sentiment triplet extraction (ASTE) and led to improved performance. On the other hand, it is recognized that explicitly inco…