Tianlong Chen (陈天龙)

01-02

(AAAI 2022) Playing Lottery Tickets with Vision and Language

01-01

(WSDM 2022) Bringing Your Own View, Graph Contrastive Learning without Prefabricated Data Augmentations

12-31

(ArXiv Preprint 2021) Learning to Optimize, A Primer and A Benchmark

12-06

(NeurIPS 2021) Chasing Sparsity in Vision Transformers, An End-to-End Exploration

12-05

(NeurIPS 2021) Data-Efficient GAN Training Beyond (Just) Augmentation, A Lottery Ticket Perspective

12-04

(NeurIPS 2021) You are caught stealing my winning lottery ticket! Making a lottery ticket claim its ownership

12-03

(NeurIPS 2021) Sparse Training via Boosting Pruning Plasticity with Neuroregeneration

12-02

(NeurIPS 2021) Improving Contrastive Learning on Imbalanced Data via Open-World Sampling

12-01

(NeurIPS 2021) Sanity Checks for Lottery Tickets, Does Your Winning Ticket Really Win the Jackpot?

06-05

(ICML 2021) A Unified Lottery Ticket Hypothesis for Graph Neural Networks

06-04

(ICML 2021) Efficient Lottery Ticket Finding, Less Data is More

06-03

(ICML 2021 Long Talk) Sparse and Imperceptible Adversarial Attack via a Homotopy Algorithm

06-03

(ICML 2021 Long Talk) Graph Contrastive Learning Automated

06-02

(ICML 2021) Self-Damaging Contrasive Learning

06-01

(CVPR 2021) The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models

05-31

(CVPR 2021) Troubleshooting Blind Image Quality Models in the Wild

05-28

(CVPRW 2021 Spotlight Oral) BNN-BN=? Training Binary Neural Networks without Batch Normalization

05-02

(ICLR 2021) Robust Overfitting may be mitigated by properly learned smoothening

05-01

(ICLR 2021) Long Live the Lottery, The Existence of Winning Tickets in Lifelong Learning

04-30

(ICLR 2021) GANs Can Play Lottery Tickets Too

04-29

(ICLR 2021 Spotlight Oral) Undistillable, Making A Nasty Teacher That CANNOT teach students

04-28

(ICLR 2021) Learning A Minimax Optimizer, A Pilot Study

03-17

(ArXiv Preprint 2021) Adversarial Feature Augmentation and Normalization for Visual Recognition

03-01

(ICASSP 2021) VGAI, End-to-End Learning of Vision-Based Decentralized Controllers for Robot Swarms

01-07

(AAAIW 2021 Oral) AR-Stock, Deep Augmented Relational Stock Prediction

01-05

(ArXiv Preprint 2021) Good Students Play Big Lottery Better

12-06

(NeurIPS 2020 Spotlight Oral) Training Stronger Baselines for Learning to Optimize

12-05

(NeurIPS 2020) The Lottery Ticket Hypothesis for Pre-trained BERT Networks

12-04

(NeurIPS 2020) Once-for-All Adversarial Training, In-Situ Trade off between Robustness and Accuracy for Free

12-03

(NeurIPS 2020) Pre-Training Graph Neural Networks A Contrastive Learning Framework with Augmentations

12-02

(NeurIPS 2020) Adversarial Contrastive Learning, Harvesting More Robustness from Unsupervised Pre-Training

10-26

(InterSpeech 2020) AutoSpeech, Neural Architecture Search for Speaker Recognition

08-23

(ECCV 2020) HALO, Hardware-Aware Learning to Optimize

07-12

(ICML 2020) When Does Self-Supervision Help Graph Convolutional Networks?

07-11

(ICML 2020) Self-PU, Self Boosted and Calibrated Positive-Unlabeled Training

06-18

(CVPR 2020) Adversarial Robustness, From Self-Supervised Pre-Training to Fine-Tuning

06-17

(CVPR 2020) L^2-GCN, Layer-Wise and Learned Efficient Training of Graph Convolutional Networks

06-16

(CVPRW 2020) Focus Longer to See Better, Recursively Refined Attention for Fine-Grained Image Classification

06-15

(ArXiv Preprint 2020) Can 3D Adversarial Logos Cloak Humans?

05-11

(LREC 2020) Dataset and Enhanced Model for Eligibility Criteria-to-SQL Semantic Parsing