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08/30/2023
Towards a Rigorous Analysis of Mutual Information in Contrastive Learning
Contrastive learning has emerged as a cornerstone in recent achievements...
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04/04/2023
Meta-Learning with a Geometry-Adaptive Preconditioner
Model-agnostic meta-learning (MAML) is one of the most successful meta-l...
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04/04/2023
VNE: An Effective Method for Improving Deep Representation by Manipulating Eigenvalue Distribution
Since the introduction of deep learning, a wide scope of representation ...
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03/20/2023
DR.CPO: Diversified and Realistic 3D Augmentation via Iterative Construction, Random Placement, and HPR Occlusion
In autonomous driving, data augmentation is commonly used for improving ...
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11/23/2022
Evaluating Feature Attribution Methods for Electrocardiogram
The performance of cardiac arrhythmia detection with electrocardiograms(...
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09/01/2022
Isotropic Representation Can Improve Dense Retrieval
The recent advancement in language representation modeling has broadly a...
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02/24/2022
Finding Inverse Document Frequency Information in BERT
For many decades, BM25 and its variants have been the dominant document ...
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02/07/2022
B2EA: An Evolutionary Algorithm Assisted by Two Bayesian Optimization Modules for Neural Architecture Search
The early pioneering Neural Architecture Search (NAS) works were multi-t...
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11/30/2021
A Highly Effective Low-Rank Compression of Deep Neural Networks with Modified Beam-Search and Modified Stable Rank
Compression has emerged as one of the essential deep learning research t...
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10/28/2021
Semi-Siamese Bi-encoder Neural Ranking Model Using Lightweight Fine-Tuning
A BERT-based Neural Ranking Model (NRM) can be either a cross-encoder or...
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07/14/2021
AID-Purifier: A Light Auxiliary Network for Boosting Adversarial Defense
We propose an AID-purifier that can boost the robustness of adversariall...
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03/11/2021
Improving Bi-encoder Document Ranking Models with Two Rankers and Multi-teacher Distillation
BERT-based Neural Ranking Models (NRMs) can be classified according to h...
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08/28/2020
Short-term Traffic Prediction with Deep Neural Networks: A Survey
In modern transportation systems, an enormous amount of traffic data is ...
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05/12/2020
Interpreting Neural Ranking Models using Grad-CAM
Recently, applying deep neural networks in IR has become an important an...
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05/29/2019
Graph Convolutional Modules for Traffic Forecasting
Graph convolutional network is a generalization of convolutional network...
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05/23/2019
DEEP-BO for Hyperparameter Optimization of Deep Networks
The performance of deep neural networks (DNN) is very sensitive to the p...
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11/16/2018
Subtask Gated Networks for Non-Intrusive Load Monitoring
Non-intrusive load monitoring (NILM), also known as energy disaggregatio...
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11/08/2018
On the Statistical and Information-theoretic Characteristics of Deep Network Representations
It has been common to argue or imply that a regularizer can be used to a...
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09/25/2018
Utilizing Class Information for DNN Representation Shaping
Statistical characteristics of DNN (Deep Neural Network) representations...
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07/04/2018
Restructuring Batch Normalization to Accelerate CNN Training
Because CNN models are compute-intensive, where billions of operations c...
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06/18/2018
