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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
One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques
Vijay Arya, Rachel Bellamy 외 18명
arXiv (Cornell University)
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2019
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263 회 인용
TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up
Yifan Jiang, Shiyu Chang 외 1명
arXiv (Cornell University)
|
2021
|
263 회 인용
Visual Foresight: Model-Based Deep Reinforcement Learning for Vision-Based Robotic Control
Frederik Ebert, Chelsea Finn 외 4명
arXiv (Cornell University)
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2018
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263 회 인용
A Multi-World Approach to Question Answering about Real-World Scenes based on Uncertain Input
Mateusz Malinowski, Mario Fritz
arXiv (Cornell University)
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2014
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262 회 인용
Adversarial Examples for Evaluating Reading Comprehension Systems
Robin Jia, Percy Liang
arXiv (Cornell University)
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2017
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262 회 인용
Explainable AI for Trees: From Local Explanations to Global Understanding
Scott Lundberg, Gabriel Erion 외 8명
arXiv (Cornell University)
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2019
|
262 회 인용
From Softmax to Sparsemax: A Sparse Model of Attention and Multi-Label Classification
André F. T. Martins, Ramón Fernández Astudillo
arXiv (Cornell University)
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2016
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262 회 인용
Guided Image Generation with Conditional Invertible Neural Networks
Lynton Ardizzone, Carsten Lüth 외 3명
arXiv (Cornell University)
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2019
|
262 회 인용
Model compression via distillation and quantization
Antonio Polino, Razvan Pascanu 외 1명
arXiv (Cornell University)
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2018
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262 회 인용
P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks
Xiao Liu, Kaixuan Ji 외 5명
arXiv (Cornell University)
|
2021
|
262 회 인용
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