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Computer Science 논문 리뷰
Computer Science 분야 주요 연구 논문을 연구 동기·방법·결과로 구조화한 AI 논문 리뷰 목록입니다.
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필터
9999+개의 결과
GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers
Elias Frantar, Saleh Ashkboos 외 2명
arXiv (Cornell University)
|
2022
|
128 회 인용
Image Segmentation Algorithms Overview
Yuheng Song, Hao Yan
arXiv (Cornell University)
|
2017
|
128 회 인용
Improved Knowledge Distillation via Teacher Assistant: Bridging the Gap Between Student and Teacher
Seyed Iman Mirzadeh, Mehrdad Farajtabar 외 2명
arXiv (Cornell University)
|
2019
|
128 회 인용
Leveraging Secondary Storage to Simulate Deep 54-qubit Sycamore Circuits
Edwin Pednault, John A. Gunnels 외 3명
arXiv (Cornell University)
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2019
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128 회 인용
Making Pre-trained Language Models Better Few-shot Learners
Tianyu Gao, Adam Fisch 외 1명
arXiv (Cornell University)
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2020
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128 회 인용
Memory Bounded Deep Convolutional Networks
Maxwell D. Collins, Pushmeet Kohli
arXiv (Cornell University)
|
2014
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128 회 인용
Neural Summarization by Extracting Sentences and Words
Jianpeng Cheng, Mirella Lapata
arXiv (Cornell University)
|
2016
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128 회 인용
On the regularization of Wasserstein GANs
Henning Petzka, Asja Fischer 외 1명
arXiv (Cornell University)
|
2017
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128 회 인용
Pix2seq: A Language Modeling Framework for Object Detection
Ting Chen, Saurabh Saxena 외 3명
arXiv (Cornell University)
|
2021
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128 회 인용
Sequence-to-Sequence RNNs for Text Summarization
Ramesh Nallapati, Bing Xiang 외 1명
arXiv (Cornell University)
|
2016
|
128 회 인용
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