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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...
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05/16/2023
Dual-Alignment Pre-training for Cross-lingual Sentence Embedding
Recent studies have shown that dual encoder models trained with the sent...
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03/09/2023
Masked Image Modeling with Local Multi-Scale Reconstruction
Masked Image Modeling (MIM) achieves outstanding success in self-supervi...
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03/01/2023
Are More Layers Beneficial to Graph Transformers?
Despite that going deep has proven successful in many neural architectur...
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02/23/2023
Detachedly Learn a Classifier for Class-Incremental Learning
In continual learning, model needs to continually learn a feature extrac...
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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...
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07/14/2022
Convolutional Bypasses Are Better Vision Transformer Adapters
The pretrain-then-finetune paradigm has been widely adopted in computer ...
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05/24/2022
Certified Robustness Against Natural Language Attacks by Causal Intervention
Deep learning models have achieved great success in many fields, yet the...
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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 ...
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04/22/2022
Alleviating Representational Shift for Continual Fine-tuning
We study a practical setting of continual learning: fine-tuning on a pre...
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03/14/2022
Rethinking Minimal Sufficient Representation in Contrastive Learning
Contrastive learning between different views of the data achieves outsta...
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03/12/2022
G^3SR: Global Graph Guided Session-based Recommendation
Session-based recommendation tries to make use of anonymous session data...
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04/29/2021
Cross-Domain Few-Shot Classification via Adversarial Task Augmentation
Few-shot classification aims to recognize unseen classes with few labele...
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03/10/2021
BCFNet: A Balanced Collaborative Filtering Network with Attention Mechanism
Collaborative Filtering (CF) based recommendation methods have been wide...
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09/12/2020
Few-shot Learning with LSSVM Base Learner and Transductive Modules
The performance of meta-learning approaches for few-shot learning genera...
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06/10/2020
Self-Supervised Learning Aided Class-Incremental Lifelong Learning
Lifelong or continual learning remains to be a challenge for artificial ...
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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...
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10/25/2019
Fast Structured Decoding for Sequence Models
Autoregressive sequence models achieve state-of-the-art performance in d...
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09/25/2019
Dynamically Pruned Message Passing Networks for Large-Scale Knowledge Graph Reasoning
We propose Dynamically Pruned Message Passing Networks (DPMPN) for large...
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08/13/2019
Beyond the Inverted Index
In this paper, a new data structure named group-list is proposed. The gr...
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05/30/2019
Neural Consciousness Flow
The ability of reasoning beyond data fitting is substantial to deep lear...
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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...
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05/19/2019
DivGraphPointer: A Graph Pointer Network for Extracting Diverse Keyphrases
Keyphrase extraction from documents is useful to a variety of applicatio...
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02/26/2019
RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space
We study the problem of learning representations of entities and relatio...
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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...
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10/07/2018
Unsupervised Neural Word Segmentation for Chinese via Segmental Language Modeling
Previous traditional approaches to unsupervised Chinese word segmentatio...
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08/18/2018