• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 884 matches

• 2021
• 
  Jianfeng Ye, Qilin Li, Jinlong Yu, Xincheng Wang, Huaming Wang:
  Affinity Learning Via Self-Supervised Diffusion for Spectral Clustering. IEEE Access 9: 7170-7182 (2021)
• 
  Nguyen Thanh Toan, Minh Tam Pham, Thanh Tam Nguyen, Thanh Trung Huynh, Van Vinh Tong, Quoc Viet Hung Nguyen, Thanh Tho Quan:
  Structural representation learning for network alignment with self-supervised anchor links. Expert Syst. Appl. 165: 113857 (2021)
• 
  Aaqib Saeed, Flora D. Salim, Tanir Ozcelebi, Johan Lukkien:
  Federated Self-Supervised Learning of Multisensor Representations for Embedded Intelligence. IEEE Internet Things J. 8(2): 1030-1040 (2021)
• 
  Li Li, Kaiyi Zhao, Jiangzhang Gan, Saihua Cai, Tong Liu, Huiyu Mu, Ruizhi Sun:
  Robust Adaptive Semi-supervised Classification Method based on Dynamic Graph and Self-paced Learning. Inf. Process. Manag. 58(1): 102433 (2021)
• 
  Gregory Kahn, Pieter Abbeel, Sergey Levine:
  BADGR: An Autonomous Self-Supervised Learning-Based Navigation System. IEEE Robotics Autom. Lett. 6(2): 1312-1319 (2021)
• 
  Yongqiang Huang, Juan Wilches, Yu Sun:
  Robot gaining accurate pouring skills through self-supervised learning and generalization. Robotics Auton. Syst. 136: 103692 (2021)
• 
  Jungpyo Lee, So Young Sohn:
  Recommendation system for technology convergence opportunities based on self-supervised representation learning. Scientometrics 126(1): 1-25 (2021)
• 
  Florent Chiaroni, Mohamed-Cherif Rahal, Nicolas Hueber, Frédéric Dufaux:
  Self-Supervised Learning for Autonomous Vehicles Perception: A Conciliation Between Analytical and Learning Methods. IEEE Signal Process. Mag. 38(1): 31-41 (2021)
• 
  Bo Peng, Qunying Huang, Jamp Vongkusolkit, Song Gao, Daniel B. Wright, Zheng N. Fang, Yi Qiang:
  Urban Flood Mapping With Bitemporal Multispectral Imagery Via a Self-Supervised Learning Framework. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 2001-2016 (2021)
• 
  Xiao Wang, Daisuke Kihara, Jiebo Luo, Guo-Jun Qi:
  EnAET: A Self-Trained Framework for Semi-Supervised and Supervised Learning With Ensemble Transformations. IEEE Trans. Image Process. 30: 1639-1647 (2021)
• 
  Kai Xu, Longyin Wen, Guorong Li, Honggang Qi, Liefeng Bo, Qingming Huang:
  Learning Self-Supervised Space-Time CNN for Fast Video Style Transfer. IEEE Trans. Image Process. 30: 2501-2512 (2021)
• 
  Yifei Huang, Sheng Qiu, Changbo Wang, Chenhui Li:
  Learning Representations for High-Dynamic-Range Image Color Transfer in a Self-Supervised Way. IEEE Trans. Multim. 23: 176-188 (2021)
• 
  Xingye Li, Zhigang Zhu:
  A Snapshot-based Approach for Self-supervised Feature Learning and Weakly-supervised Classification on Point Cloud Data. VISIGRAPP (5: VISAPP) 2021: 399-408
• 
  Yang Liu, Keze Wang, Haoyuan Lan, Liang Lin:
  Temporal Contrastive Graph for Self-supervised Video Representation Learning. CoRR abs/2101.00820 (2021)
• 
  Md Abul Hayat, Peter Harrington, George Stein, Zarija Lukic, Mustafa Mustafa:
  Estimating Galactic Distances From Images Using Self-supervised Representation Learning. CoRR abs/2101.04293 (2021)
• 
  David Torpey, Richard Klein:
  Explicit homography estimation improves contrastive self-supervised learning. CoRR abs/2101.04713 (2021)
• 
  Anuroop Sriram, Matthew J. Muckley, Koustuv Sinha, Farah Shamout, Joelle Pineau, Krzysztof J. Geras, Lea Azour, Yindalon Aphinyanaphongs, Nafissa Yakubova, William Moore:
  COVID-19 Prognosis via Self-Supervised Representation Learning and Multi-Image Prediction. CoRR abs/2101.04909 (2021)
• 
  Abhinav Dhere, Jayanthi Sivaswamy:
  Self-Supervised Learning for Segmentation. CoRR abs/2101.05456 (2021)
• 
  Ronglin Gong, Zhiyang Lu, Jun Shi:
  Task-driven Self-supervised Bi-channel Networks Learning for Diagnosis of Breast Cancers with Mammography. CoRR abs/2101.06228 (2021)
• 
  Shivangi Aneja, Christoph Bregler, Matthias Nießner:
  Catching Out-of-Context Misinformation with Self-supervised Learning. CoRR abs/2101.06278 (2021)
• 
  Byoungjip Kim, Jinho Choo, Yeong-Dae Kwon, Seongho Joe, Seungjai Min, Youngjune Gwon:
  SelfMatch: Combining Contrastive Self-Supervision and Consistency for Semi-Supervised Learning. CoRR abs/2101.06480 (2021)
• 
  Yuwen Xiong, Mengye Ren, Wenyuan Zeng, Raquel Urtasun:
  Self-Supervised Representation Learning from Flow Equivariance. CoRR abs/2101.06553 (2021)
• 
  Zeming Li, Songtao Liu, Jian Sun:
  Momentum2 Teacher: Momentum Teacher with Momentum Statistics for Self-Supervised Learning. CoRR abs/2101.07525 (2021)
• 
  Ru Li, Shuaicheng Liu, Guangfu Wang, Guanghui Liu, Bing Zeng:
  JigsawGAN: Self-supervised Learning for Solving Jigsaw Puzzles with Generative Adversarial Networks. CoRR abs/2101.07555 (2021)
• 
  Zhaowei Cai, Avinash Ravichandran, Subhransu Maji, Charless C. Fowlkes, Zhuowen Tu, Stefano Soatto:
  Exponential Moving Average Normalization for Self-supervised and Semi-supervised Learning. CoRR abs/2101.08482 (2021)
• 
  Lang Huang, Chao Zhang, Hongyang Zhang:
  Self-Adaptive Training: Bridging the Supervised and Self-Supervised Learning. CoRR abs/2101.08732 (2021)
• 
  Nathaniel Simard, Guillaume Lagrange:
  Improving Few-Shot Learning with Auxiliary Self-Supervised Pretext Tasks. CoRR abs/2101.09825 (2021)
• 
  Demetres Kostas, Stephane Aroca-Ouellette, Frank Rudzicz:
  BENDR: using transformers and a contrastive self-supervised learning task to learn from massive amounts of EEG data. CoRR abs/2101.12037 (2021)
• 
  Xiaoqi Zhao, Youwei Pang, Lihe Zhang, Huchuan Lu, Xiang Ruan:
  Self-Supervised Representation Learning for RGB-D Salient Object Detection. CoRR abs/2101.12482 (2021)
• 
  Gang Peng, Zhenyu Ren, Hao Wang, Xinde Li:
  A self-supervised learning-based 6-DOF grasp planning method for manipulator. CoRR abs/2102.00205 (2021)

skipping 854 more matches