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Computer Science 論文レビュー
Computer Science 分野の主要論文を動機・手法・結果に構造化した AI 論文レビュー一覧です。
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One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques
Vijay Arya, Rachel Bellamy, +18
arXiv (Cornell University)
|
2019
|
263 citations
TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up
Yifan Jiang, Shiyu Chang, +1
arXiv (Cornell University)
|
2021
|
263 citations
Visual Foresight: Model-Based Deep Reinforcement Learning for Vision-Based Robotic Control
Frederik Ebert, Chelsea Finn, +4
arXiv (Cornell University)
|
2018
|
263 citations
A Multi-World Approach to Question Answering about Real-World Scenes based on Uncertain Input
Mateusz Malinowski, Mario Fritz
arXiv (Cornell University)
|
2014
|
262 citations
Adversarial Examples for Evaluating Reading Comprehension Systems
Robin Jia, Percy Liang
arXiv (Cornell University)
|
2017
|
262 citations
Explainable AI for Trees: From Local Explanations to Global Understanding
Scott Lundberg, Gabriel Erion, +8
arXiv (Cornell University)
|
2019
|
262 citations
From Softmax to Sparsemax: A Sparse Model of Attention and Multi-Label Classification
André F. T. Martins, Ramón Fernández Astudillo
arXiv (Cornell University)
|
2016
|
262 citations
Guided Image Generation with Conditional Invertible Neural Networks
Lynton Ardizzone, Carsten Lüth, +3
arXiv (Cornell University)
|
2019
|
262 citations
Model compression via distillation and quantization
Antonio Polino, Razvan Pascanu, +1
arXiv (Cornell University)
|
2018
|
262 citations
P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks
Xiao Liu, Kaixuan Ji, +5
arXiv (Cornell University)
|
2021
|
262 citations
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