RandAugment: Practical automated data augmentation with a reduced search space

30 September 2019

Papers citing "RandAugment: Practical automated data augmentation with a reduced search space"

50 / 2,006 papers shown

Title
Steerable Equivariant Representation Learning Sangnie Bhardwaj Willie McClinton Tongzhou Wang Guillaume Lajoie Chen Sun Phillip Isola Dilip Krishnan OOD LLMSV 34 5 0 22 Feb 2023
What Are Effective Labels for Augmented Data? Improving Calibration and Robustness with AutoLabel Yao Qin Xuezhi Wang Balaji Lakshminarayanan Ed H. Chi Alex Beutel UQCV 22 4 0 22 Feb 2023
Hyena Hierarchy: Towards Larger Convolutional Language Models Michael Poli Stefano Massaroli Eric Q. Nguyen Daniel Y. Fu Tri Dao S. Baccus Yoshua Bengio Stefano Ermon Christopher Ré VLM 28 286 0 21 Feb 2023
Seasoning Model Soups for Robustness to Adversarial and Natural Distribution Shifts Francesco Croce Sylvestre-Alvise Rebuffi Evan Shelhamer Sven Gowal AAML 42 17 0 20 Feb 2023
À-la-carte Prompt Tuning (APT): Combining Distinct Data Via Composable Prompting Benjamin Bowman Alessandro Achille L. Zancato Matthew Trager Pramuditha Perera Giovanni Paolini Stefano Soatto VPVLM 34 19 0 15 Feb 2023
TFormer: A Transmission-Friendly ViT Model for IoT Devices Zhichao Lu Chuntao Ding Felix Juefei Xu Vishnu Boddeti Shangguang Wang Yun Yang 28 13 0 15 Feb 2023
A Modern Look at the Relationship between Sharpness and Generalization Maksym Andriushchenko Francesco Croce Maximilian Müller Matthias Hein Nicolas Flammarion 3DH 29 56 0 14 Feb 2023
Hard-aware Instance Adaptive Self-training for Unsupervised Cross-domain Semantic Segmentation Chuanglu Zhu Kebin Liu Wenqi Tang Ke Mei Jiaqi Zou Tiejun Huang 57 1 0 14 Feb 2023
Differentiable Outlier Detection Enable Robust Deep Multimodal Analysis Zhu Wang Sourav Medya Sathya Ravi VLM 33 0 0 11 Feb 2023
CUDA: Curriculum of Data Augmentation for Long-Tailed Recognition Sumyeong Ahn Jongwoo Ko Se-Young Yun 43 30 0 10 Feb 2023
Long-Tailed Partial Label Learning via Dynamic Rebalancing Feng Hong Jiangchao Yao Zhihan Zhou Ya Zhang Yanfeng Wang 26 26 0 10 Feb 2023
Better Diffusion Models Further Improve Adversarial Training Zekai Wang Tianyu Pang Chao Du Min Lin Weiwei Liu Shuicheng Yan DiffM 28 210 0 09 Feb 2023
Effective Data Augmentation With Diffusion Models Brandon Trabucco Kyle Doherty Max Gurinas Ruslan Salakhutdinov VLM DiffM 43 232 0 07 Feb 2023
Spatial Functa: Scaling Functa to ImageNet Classification and Generation Matthias Bauer Emilien Dupont Andy Brock Dan Rosenbaum Jonathan Richard Schwarz Hyunjik Kim DiffM 41 35 0 06 Feb 2023
AIM: Adapting Image Models for Efficient Video Action Recognition Taojiannan Yang Yi Zhu Yusheng Xie Aston Zhang Chong Chen Mu Li ViT 65 145 0 06 Feb 2023
RLSbench: Domain Adaptation Under Relaxed Label Shift Saurabh Garg Nick Erickson James Sharpnack Alexander J. Smola Sivaraman Balakrishnan Zachary Chase Lipton VLM 33 31 0 06 Feb 2023
Leaving Reality to Imagination: Robust Classification via Generated Datasets Hritik Bansal Aditya Grover OOD 49 89 0 05 Feb 2023
Towards energy-efficient Deep Learning: An overview of energy-efficient approaches along the Deep Learning Lifecycle Vanessa Mehlin Sigurd Schacht Carsten Lanquillon HAI MedIm 33 19 0 05 Feb 2023
Semantic-Guided Generative Image Augmentation Method with Diffusion Models for Image Classification Bohan Li Xiao Xu Xinghao Wang Yutai Hou Yunlong Feng Feng Wang Xuanliang Zhang Qingfu Zhu Wanxiang Che DiffM VLM 36 10 0 04 Feb 2023
AIROGS: Artificial Intelligence for RObust Glaucoma Screening Challenge Coen de Vente Koen A. Vermeer Nicolas Jaccard He Wang Hongyi Sun ... Abdul Qayyum Imran Razzak Bram van Ginneken H. Lemij Clara I. Sánchez 29 56 0 03 Feb 2023
Contrastive Learning with Consistent Representations Zihu Wang Yu Wang Hanbin Hu Peng Li CLL 34 5 0 03 Feb 2023
Class Overwhelms: Mutual Conditional Blended-Target Domain Adaptation P. Xu Boyu Wang Charles Ling 40 6 0 03 Feb 2023
Spiking Synaptic Penalty: Appropriate Penalty Term for Energy-Efficient Spiking Neural Networks Kazuma Suetake Takuya Ushimaru Ryuji Saiin Yoshihide Sawada 22 0 0 03 Feb 2023
Energy-Inspired Self-Supervised Pretraining for Vision Models Ze Wang Jiang Wang Zicheng Liu Qiang Qiu 26 8 0 02 Feb 2023
Dual PatchNorm Manoj Kumar Mostafa Dehghani N. Houlsby UQCV ViT 29 11 0 02 Feb 2023
Are Diffusion Models Vulnerable to Membership Inference Attacks? Jinhao Duan Fei Kong Shiqi Wang Xiaoshuang Shi Kaidi Xu 35 109 0 02 Feb 2023
Domain Generalization Emerges from Dreaming Hwan Heo Youngjin Oh Jaewon Lee Hyunwoo J. Kim 21 2 0 02 Feb 2023
Visual Imitation Learning with Patch Rewards Minghuan Liu Tairan He Weinan Zhang Shuicheng Yan Zhongwen Xu SSL 22 13 0 02 Feb 2023
Does Vision Accelerate Hierarchical Generalization of Neural Language Learners? Tatsuki Kuribayashi VLM 19 1 0 01 Feb 2023
Learning Prototype Classifiers for Long-Tailed Recognition Saurabh Sharma Yongqin Xian Ning Yu Ambuj K. Singh 43 13 0 01 Feb 2023
MS-DETR: Multispectral Pedestrian Detection Transformer with Loosely Coupled Fusion and Modality-Balanced Optimization Yinghui Xing Song Wang Shizhou Zhang Guoqiang Liang Xiuwei Zhang Yanning Zhang ViT 36 7 0 01 Feb 2023
UPop: Unified and Progressive Pruning for Compressing Vision-Language Transformers Dachuan Shi Chaofan Tao Ying Jin Zhendong Yang Chun Yuan Jiaqi Wang VLM ViT 28 38 0 31 Jan 2023
NP-Match: Towards a New Probabilistic Model for Semi-Supervised Learning Jianfeng Wang Xiaolin Hu Thomas Lukasiewicz AAML BDL 36 0 0 31 Jan 2023
Domain-Generalizable Multiple-Domain Clustering Amit Rozner Barak Battash Lior Wolf Ofir Lindenbaum SSL OOD 54 8 0 31 Jan 2023
Skeleton-based Human Action Recognition via Convolutional Neural Networks (CNN) Ayman Ali Ekkasit Pinyoanuntapong Pu Wang Mohsen Dorodchi 3DH 20 10 0 31 Jan 2023
Adaptive Computation with Elastic Input Sequence Fuzhao Xue Valerii Likhosherstov Anurag Arnab N. Houlsby Mostafa Dehghani Yang You 43 19 0 30 Jan 2023
Benchmarking Robustness to Adversarial Image Obfuscations Florian Stimberg Ayan Chakrabarti Chun-Ta Lu Hussein Hazimeh Otilia Stretcu ... Merve Kaya Cyrus Rashtchian Ariel Fuxman Mehmet Tek Sven Gowal AAML 39 10 0 30 Jan 2023
Exploring Image Augmentations for Siamese Representation Learning with Chest X-Rays Rogier van der Sluijs Nandita Bhaskhar D. Rubin C. Langlotz Akshay S. Chaudhari SSL 44 13 0 30 Jan 2023
Unlocking Deterministic Robustness Certification on ImageNet Kaiqin Hu Andy Zou Zifan Wang Klas Leino Matt Fredrikson OOD 37 13 0 29 Jan 2023
Efficient Latency-Aware CNN Depth Compression via Two-Stage Dynamic Programming Jinuk Kim Yeonwoo Jeong Deokjae Lee Hyun Oh Song 89 1 0 28 Jan 2023
Open Problems in Applied Deep Learning M. Raissi AI4CE 55 2 0 26 Jan 2023
SoftMatch: Addressing the Quantity-Quality Trade-off in Semi-supervised Learning Hao Chen R. Tao Yue Fan Yidong Wang Jindong Wang Bernt Schiele Xingxu Xie Bhiksha Raj Marios Savvides 35 143 0 26 Jan 2023
Navigating the Pitfalls of Active Learning Evaluation: A Systematic Framework for Meaningful Performance Assessment Carsten T. Lüth Till J. Bungert Lukas Klein Paul F. Jaeger 21 10 0 25 Jan 2023
Improving Open-Set Semi-Supervised Learning with Self-Supervision Erik Wallin Lennart Svensson Fredrik Kahl Lars Hammarstrand 39 7 0 24 Jan 2023
Holistically Explainable Vision Transformers Moritz D Boehle Mario Fritz Bernt Schiele ViT 43 9 0 20 Jan 2023
Chaos to Order: A Label Propagation Perspective on Source-Free Domain Adaptation Chunwei Wu Guitao Cao Yan Li Xidong Xi Wenming Cao Hong Wang TTA 26 2 0 20 Jan 2023
Enhancing Self-Training Methods Aswathnarayan Radhakrishnan Jim Davis Zachary Rabin Benjamin Lewis Matthew Scherreik R. Ilin 31 1 0 18 Jan 2023
Effective End-to-End Vision Language Pretraining with Semantic Visual Loss Xiaofeng Yang Fayao Liu Guosheng Lin VLM 26 7 0 18 Jan 2023
RILS: Masked Visual Reconstruction in Language Semantic Space Shusheng Yang Yixiao Ge Kun Yi Dian Li Ying Shan Xiaohu Qie Xinggang Wang CLIP 43 11 0 17 Jan 2023
On Pseudo-Labeling for Class-Mismatch Semi-Supervised Learning Lu Han Han-Jia Ye De-Chuan Zhan 23 6 0 15 Jan 2023