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07/24/2023
MARIO: Model Agnostic Recipe for Improving OOD Generalization of Graph Contrastive Learning
In this work, we investigate the problem of out-of-distribution (OOD) ge...
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03/09/2023
Structure-Aware Group Discrimination with Adaptive-View Graph Encoder: A Fast Graph Contrastive Learning Framework
Albeit having gained significant progress lately, large-scale graph repr...
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12/02/2021
Relational Graph Learning for Grounded Video Description Generation
Grounded video description (GVD) encourages captioning models to attend ...
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09/29/2021
Federated Self-Supervised Contrastive Learning via Ensemble Similarity Distillation
This paper investigates the feasibility of learning good representation ...
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07/30/2021
On the Efficacy of Small Self-Supervised Contrastive Models without Distillation Signals
It is a consensus that small models perform quite poorly under the parad...
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07/26/2021
Alleviate Representation Overlapping in Class Incremental Learning by Contrastive Class Concentration
The challenge of the Class Incremental Learning (CIL) lies in difficulty...
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06/21/2021
CIL: Contrastive Instance Learning Framework for Distantly Supervised Relation Extraction
The journey of reducing noise from distant supervision (DS) generated tr...
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11/22/2020
Run Away From your Teacher: Understanding BYOL by a Novel Self-Supervised Approach
Recently, a newly proposed self-supervised framework Bootstrap Your Own ...
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11/18/2019
Unsupervised Reinforcement Learning of Transferable Meta-Skills for Embodied Navigation
Visual navigation is a task of training an embodied agent by intelligent...
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07/07/2019
