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09/21/2023
DimCL: Dimensional Contrastive Learning For Improving Self-Supervised Learning
Self-supervised learning (SSL) has gained remarkable success, for which ...
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08/16/2023
Mitigating the Exposure Bias in Sentence-Level Grapheme-to-Phoneme (G2P) Transduction
Text-to-Text Transfer Transformer (T5) has recently been considered for ...
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06/20/2023
Progressive Neural Representation for Sequential Video Compilation
Neural Implicit Representations (NIR) have gained significant attention ...
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06/09/2023
A Theory of Unsupervised Speech Recognition
Unsupervised speech recognition (ASR-U) is the problem of learning autom...
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05/25/2023
INTapt: Information-Theoretic Adversarial Prompt Tuning for Enhanced Non-Native Speech Recognition
Automatic Speech Recognition (ASR) systems have attained unprecedented p...
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03/27/2023
Forget-free Continual Learning with Soft-Winning SubNetworks
Inspired by Regularized Lottery Ticket Hypothesis (RLTH), which states t...
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03/16/2023
Maximum margin learning of t-SPNs for cell classification with filtered input
An algorithm based on a deep probabilistic architecture referred to as a...
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03/04/2023
ESD: Expected Squared Difference as a Tuning-Free Trainable Calibration Measure
Studies have shown that modern neural networks tend to be poorly calibra...
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01/01/2023
Skew Class-balanced Re-weighting for Unbiased Scene Graph Generation
An unbiased scene graph generation (SGG) algorithm referred to as Skew C...
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12/14/2022
SMSMix: Sense-Maintained Sentence Mixup for Word Sense Disambiguation
Word Sense Disambiguation (WSD) is an NLP task aimed at determining the ...
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12/12/2022
Information-Theoretic Text Hallucination Reduction for Video-grounded Dialogue
Video-grounded Dialogue (VGD) aims to decode an answer sentence to a que...
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11/17/2022
Self-Supervised Visual Representation Learning via Residual Momentum
Self-supervised learning (SSL) approaches have shown promising capabilit...
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10/17/2022
Selective Query-guided Debiasing Network for Video Corpus Moment Retrieval
Video moment retrieval (VMR) aims to localize target moments in untrimme...
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09/17/2022
SoftGroup++: Scalable 3D Instance Segmentation with Octree Pyramid Grouping
Existing state-of-the-art 3D point cloud instance segmentation methods r...
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09/15/2022
On the Soft-Subnetwork for Few-shot Class Incremental Learning
Inspired by Regularized Lottery Ticket Hypothesis (RLTH), which hypothes...
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08/11/2022
On the Pros and Cons of Momentum Encoder in Self-Supervised Visual Representation Learning
Exponential Moving Average (EMA or momentum) is widely used in modern se...
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07/22/2022
Decoupled Adversarial Contrastive Learning for Self-supervised Adversarial Robustness
Adversarial training (AT) for robust representation learning and self-su...
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06/11/2022
Learning Imbalanced Datasets with Maximum Margin Loss
A learning algorithm referred to as Maximum Margin (MM) is proposed for ...
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03/30/2022
Dual Temperature Helps Contrastive Learning Without Many Negative Samples: Towards Understanding and Simplifying MoCo
Contrastive learning (CL) is widely known to require many negative sampl...
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03/30/2022
How Does SimSiam Avoid Collapse Without Negative Samples? A Unified Understanding with Self-supervised Contrastive Learning
To avoid collapse in self-supervised learning (SSL), a contrastive loss ...
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03/03/2022
SoftGroup for 3D Instance Segmentation on Point Clouds
Existing state-of-the-art 3D instance segmentation methods perform seman...
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02/11/2022
Noise Augmentation Is All You Need For FGSM Fast Adversarial Training: Catastrophic Overfitting And Robust Overfitting Require Different Augmentation
Adversarial training (AT) and its variants are the most effective approa...
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11/09/2021
GDCA: GAN-based single image super resolution with Dual discriminators and Channel Attention
Single Image Super-Resolution (SISR) is a very active research field. Th...
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10/28/2021
Hindsight Goal Ranking on Replay Buffer for Sparse Reward Environment
This paper proposes a method for prioritizing the replay experience refe...
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09/23/2021
Fast and Efficient MMD-based Fair PCA via Optimization over Stiefel Manifold
This paper defines fair principal component analysis (PCA) as minimizing...
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08/01/2021
Self-supervised Learning with Local Attention-Aware Feature
In this work, we propose a novel methodology for self-supervised learnin...
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03/24/2021
Structured Co-reference Graph Attention for Video-grounded Dialogue
A video-grounded dialogue system referred to as the Structured Co-refere...
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03/15/2021
Sample-efficient Reinforcement Learning Representation Learning with Curiosity Contrastive Forward Dynamics Model
Developing an agent in reinforcement learning (RL) that is capable of pe...
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03/15/2021
Robust MAML: Prioritization task buffer with adaptive learning process for model-agnostic meta-learning
Model agnostic meta-learning (MAML) is a popular state-of-the-art meta-l...
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02/01/2021
Semantic Grouping Network for Video Captioning
This paper considers a video caption generating network referred to as S...
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12/18/2020
SCNet: Training Inference Sample Consistency for Instance Segmentation
Cascaded architectures have brought significant performance improvement ...
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08/24/2020
VLANet: Video-Language Alignment Network for Weakly-Supervised Video Moment Retrieval
Video Moment Retrieval (VMR) is a task to localize the temporal moment i...
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07/04/2020
Modality Shifting Attention Network for Multi-modal Video Question Answering
This paper considers a network referred to as Modality Shifting Attentio...
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09/15/2019
Cascade RPN: Delving into High-Quality Region Proposal Network with Adaptive Convolution
This paper considers an architecture referred to as Cascade Region Propo...
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05/28/2019
Gaining Extra Supervision via Multi-task learning for Multi-Modal Video Question Answering
This paper proposes a method to gain extra supervision via multi-task le...
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05/04/2019
Edge-labeling Graph Neural Network for Few-shot Learning
In this paper, we propose a novel edge-labeling graph neural network (EG...
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04/18/2019
Progressive Attention Memory Network for Movie Story Question Answering
This paper proposes the progressive attention memory network (PAMN) for ...
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11/17/2017
A Resizable Mini-batch Gradient Descent based on a Randomized Weighted Majority
Determining the appropriate batch size for mini-batch gradient descent i...
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10/19/2017
Meta-Learning via Feature-Label Memory Network
Deep learning typically requires training a very capable architecture us...
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11/13/2012