SPARSE AND IMPERCEPTIBLE ADVERSARIAL ATTACK VIA A HOMOTOPY ALGORITHM

von ZHU, MINGKANG
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 16 of 16 (2022)

Improving Contrastive Learning on Imbalanced Data via Open-World Sampling

von Jiang, Ziyu
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 8 of 36 (2022)

ROBUST PRE-TRAINING BY ADVERSARIAL CONTRASTIVE LEARNING

von Jiang, Ziyu
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 20 of 27 (2021)

Neural Implicit Dictionary Learning Via Mixture-Of-Expert Training

von Wang, Peihao
Veröffentlicht in International Conference on Machine Learning (39. : 2022 : Baltimore, Md.; Online) International Conference on Machine Learning (ICML 2022) ; Part 27 of 33 (2023)

EFFICIENT LOTTERY TICKET FINDING: LESS DATA IS MORE

von ZHANG, ZHENYU
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 16 of 16 (2022)

WHEN DOES SELF-SUPERVISION HELP GRAPH CONVOLUTIONAL NETWORKS?

von You, Yuning
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 14 of 15 (2021)

SELF-DAMAGING CONTRASTIVE LEARNING

von JIANG, ZIYU
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 7 of 16 (2022)

You are caught stealing my winning lottery ticket! Making a lottery ticket claim its ownership

von Chen, Xuxi
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 3 of 36 (2022)

GRAPH CONTRASTIVE LEARNING AUTOMATED

von YOU, YUNING
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 15 of 16 (2022)

HALO: Hardware-Aware Learning to Optimize

von Li, Chaojian
Veröffentlicht in ECCV (16. : 2020 : Online) Computer vision - ECCV 2020 ; Part 9 (2020)

AUTOSPEECH: NEURAL ARCHITECTURE SEARCH FOR SPEAKER RECOGNITION

von Ding, Shaojin
Veröffentlicht in INTERSPEECH (21. : 2020 : Online) Cognitive intelligence for speech processing ; Volume 2 of 7 (2020)

Universality of Winning Tickets: A Renormalization Group Perspective

von Redman, William T.
Veröffentlicht in International Conference on Machine Learning (39. : 2022 : Baltimore, Md.; Online) International Conference on Machine Learning (ICML 2022) ; Part 23 of 33 (2023)

Data-Efficient GAN Training Beyond (Just) Augmentations: A Lottery Ticket Perspective

von Chen, Tianlong
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 25 of 36 (2022)

A UNIFIED LOTTERY TICKET HYPOTHESIS FOR GRAPH NEURAL NETWORKS

von CHEN, TIANLONG
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 3 of 16 (2022)

Randomized Channel Shuffling: Minimal-Overhead Backdoor Attack Detection without Clean Datasets

von Cai, Ruisi
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 44 of 50 (2023)

Coarsening the Granularity: Towards Structurally Sparse Lottery Tickets

von Chen, Tianlong
Veröffentlicht in International Conference on Machine Learning (39. : 2022 : Baltimore, Md.; Online) International Conference on Machine Learning (ICML 2022) ; Part 4 of 33 (2023)

Training Your Sparse Neural Network Better with Any Mask

von Jaiswal, Ajay Kumar
Veröffentlicht in International Conference on Machine Learning (39. : 2022 : Baltimore, Md.; Online) International Conference on Machine Learning (ICML 2022) ; Part 12 of 33 (2023)

Scalable Learning to Optimize: A Learned Optimizer Can Train Big Models

von Chen, Xuxi
Veröffentlicht in ECCV (17. : 2022 : Tel Aviv; Online) Computer vision – ECCV 2022 ; Part 23 (2022)

Old can be Gold: Better Gradient Flow can Make Vanilla-GCNs Great Again

von JAISWAL, AJAY
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 10 of 50 (2023)

Chasing Sparsity in Vision Transformers: An End-to-End Exploration

von Chen, Tianlong
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 24 of 36 (2022)