Zhi-Hong Deng | DeepAI

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∙ 07/31/2023

Revisiting the Parameter Efficiency of Adapters from the Perspective of Precision Redundancy

Current state-of-the-art results in computer vision depend in part on fi...

0 Shibo Jie, et al. ∙

∙ 05/16/2023

Dual-Alignment Pre-training for Cross-lingual Sentence Embedding

Recent studies have shown that dual encoder models trained with the sent...

0 Ziheng Li, et al. ∙

∙ 03/09/2023

Masked Image Modeling with Local Multi-Scale Reconstruction

Masked Image Modeling (MIM) achieves outstanding success in self-supervi...

0 Haoqing Wang, et al. ∙

∙ 03/01/2023

Are More Layers Beneficial to Graph Transformers?

Despite that going deep has proven successful in many neural architectur...

0 Haiteng Zhao, et al. ∙

∙ 02/23/2023

Detachedly Learn a Classifier for Class-Incremental Learning

In continual learning, model needs to continually learn a feature extrac...

0 Ziheng Li, et al. ∙

∙ 12/06/2022

FacT: Factor-Tuning for Lightweight Adaptation on Vision Transformer

Recent work has explored the potential to adapt a pre-trained vision tra...

0 Shibo Jie, et al. ∙

∙ 07/14/2022

Convolutional Bypasses Are Better Vision Transformer Adapters

The pretrain-then-finetune paradigm has been widely adopted in computer ...

0 Shibo Jie, et al. ∙

∙ 05/24/2022

Certified Robustness Against Natural Language Attacks by Causal Intervention

Deep learning models have achieved great success in many fields, yet the...

0 Haiteng Zhao, et al. ∙

∙ 05/19/2022

Bypassing Logits Bias in Online Class-Incremental Learning with a Generative Framework

Continual learning requires the model to maintain the learned knowledge ...

0 Gehui Shen, et al. ∙

∙ 04/22/2022

Alleviating Representational Shift for Continual Fine-tuning

We study a practical setting of continual learning: fine-tuning on a pre...

0 Shibo Jie, et al. ∙

∙ 03/14/2022

Rethinking Minimal Sufficient Representation in Contrastive Learning

Contrastive learning between different views of the data achieves outsta...

0 Haoqing Wang, et al. ∙

∙ 03/12/2022

G^3SR: Global Graph Guided Session-based Recommendation

Session-based recommendation tries to make use of anonymous session data...

3 Zhi-Hong Deng, et al. ∙

∙ 04/29/2021

Cross-Domain Few-Shot Classification via Adversarial Task Augmentation

Few-shot classification aims to recognize unseen classes with few labele...

0 Haoqing Wang, et al. ∙

∙ 03/10/2021

BCFNet: A Balanced Collaborative Filtering Network with Attention Mechanism

Collaborative Filtering (CF) based recommendation methods have been wide...

10 Zi-Yuan Hu, et al. ∙

∙ 09/12/2020

Few-shot Learning with LSSVM Base Learner and Transductive Modules

The performance of meta-learning approaches for few-shot learning genera...

0 Haoqing Wang, et al. ∙

∙ 06/10/2020

Self-Supervised Learning Aided Class-Incremental Lifelong Learning

Lifelong or continual learning remains to be a challenge for artificial ...

0 Song Zhang, et al. ∙

∙ 05/07/2020

Generative Feature Replay with Orthogonal Weight Modification for Continual Learning

The ability of intelligent agents to learn and remember multiple tasks s...

0 Gehui Shen, et al. ∙

∙ 10/25/2019

Fast Structured Decoding for Sequence Models

Autoregressive sequence models achieve state-of-the-art performance in d...

0 Zhiqing Sun, et al. ∙

∙ 09/25/2019

Dynamically Pruned Message Passing Networks for Large-Scale Knowledge Graph Reasoning

We propose Dynamically Pruned Message Passing Networks (DPMPN) for large...

0 Xiaoran Xu, et al. ∙

∙ 08/13/2019

Beyond the Inverted Index

In this paper, a new data structure named group-list is proposed. The gr...

0 Zhi-Hong Deng, et al. ∙

∙ 05/30/2019

Neural Consciousness Flow

The ability of reasoning beyond data fitting is substantial to deep lear...

0 Xiaoran Xu, et al. ∙

∙ 05/28/2019

Leap-LSTM: Enhancing Long Short-Term Memory for Text Categorization

Recurrent Neural Networks (RNNs) are widely used in the field of natural...

0 Ting Huang, et al. ∙

∙ 05/19/2019

DivGraphPointer: A Graph Pointer Network for Extracting Diverse Keyphrases

Keyphrase extraction from documents is useful to a variety of applicatio...

0 Zhiqing Sun, et al. ∙

∙ 02/26/2019

RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space

We study the problem of learning representations of entities and relatio...

6 Zhiqing Sun, et al. ∙

∙ 01/15/2019

DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System

In general, recommendation can be viewed as a matching problem, i.e., ma...

8 Zhi-Hong Deng, et al. ∙

∙ 10/07/2018

Unsupervised Neural Word Segmentation for Chinese via Segmental Language Modeling

Previous traditional approaches to unsupervised Chinese word segmentatio...

0 Zhiqing Sun, et al. ∙

∙ 08/18/2018

Learning to Compose over Tree Structures via POS Tags

Recursive Neural Network (RecNN), a type of models which compose words o...

0 Gehui Shen, et al. ∙

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