Papers
Architectural Adversarial Robustness: The Case for Deep Pursuit
George Cazenavette, Calvin Murdock, Simon Lucey
A Realistic Evaluation of Semi-Supervised Learning for Fine-Grained Classification
Jong-Chyi Su, Zezhou Cheng, Subhransu Maji
Are Labels Always Necessary for Classifier Accuracy Evaluation?
Weijian Deng, Liang Zheng
ArtCoder: An End-to-End Method for Generating Scanning-Robust Stylized QR Codes
Hao Su, Jianwei Niu, Xuefeng Liu et al.
ArtEmis: Affective Language for Visual Art
Panos Achlioptas, Maks Ovsjanikov, Kilichbek Haydarov et al.
ArtFlow: Unbiased Image Style Transfer via Reversible Neural Flows
Jie An, Siyu Huang, Yibing Song et al.
ARVo: Learning All-Range Volumetric Correspondence for Video Deblurring
Dongxu Li, Chenchen Xu, Kaihao Zhang et al.
A Second-Order Approach to Learning With Instance-Dependent Label Noise
Zhaowei Zhu, Tongliang Liu, Yang Liu
A Self-Boosting Framework for Automated Radiographic Report Generation
Zhanyu Wang, Luping Zhou, Lei Wang et al.
A Sliced Wasserstein Loss for Neural Texture Synthesis
Eric Heitz, Kenneth Vanhoey, Thomas Chambon et al.
Asymmetric Gained Deep Image Compression With Continuous Rate Adaptation
Ze Cui, Jing Wang, Shangyin Gao et al.
Asymmetric Metric Learning for Knowledge Transfer
Mateusz Budnik, Yannis Avrithis
ATSO: Asynchronous Teacher-Student Optimization for Semi-Supervised Image Segmentation
Xinyue Huo, Lingxi Xie, Jianzhong He et al.
AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling
Dilin Wang, Meng Li, Chengyue Gong et al.
Audio-Driven Emotional Video Portraits
Xinya Ji, Hang Zhou, Kaisiyuan Wang et al.
Audio-Visual Instance Discrimination with Cross-Modal Agreement
Pedro Morgado, Nuno Vasconcelos, Ishan Misra
Augmentation Strategies for Learning With Noisy Labels
Kento Nishi, Yi Ding, Alex Rich et al.
AutoDO: Robust AutoAugment for Biased Data With Label Noise via Scalable Probabilistic Implicit Differentiation
Denis Gudovskiy, Luca Rigazio, Shun Ishizaka et al.
Auto-Exposure Fusion for Single-Image Shadow Removal
Lan Fu, Changqing Zhou, Qing Guo et al.
AutoFlow: Learning a Better Training Set for Optical Flow
Deqing Sun, Daniel Vlasic, Charles Herrmann et al.
AutoInt: Automatic Integration for Fast Neural Volume Rendering
David B. Lindell, Julien N. P. Martel, Gordon Wetzstein
Automated Log-Scale Quantization for Low-Cost Deep Neural Networks
Sangyun Oh, Hyeonuk Sim, Sugil Lee et al.
Automatic Correction of Internal Units in Generative Neural Networks
Ali Tousi, Haedong Jeong, Jiyeon Han et al.
Automatic Vertebra Localization and Identification in CT by Spine Rectification and Anatomically-Constrained Optimization
Fakai Wang, Kang Zheng, Le Lu et al.