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09/15/2023
P-ROCKET: Pruning Random Convolution Kernels for Time Series Classification
In recent years, two time series classification models, ROCKET and MINIR...
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08/07/2023
High-rate discretely-modulated continuous-variable quantum key distribution using quantum machine learning
We propose a high-rate scheme for discretely-modulated continuous-variab...
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06/24/2023
DiffDTM: A conditional structure-free framework for bioactive molecules generation targeted for dual proteins
Advances in deep generative models shed light on de novo molecule genera...
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06/20/2023
Fine-grained Policy-driven I/O Sharing for Burst Buffers
A burst buffer is a common method to bridge the performance gap between ...
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05/26/2023
Modulate Your Spectrum in Self-Supervised Learning
Whitening loss provides theoretical guarantee in avoiding feature collap...
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02/16/2023
WHC: Weighted Hybrid Criterion for Filter Pruning on Convolutional Neural Networks
Filter pruning has attracted increasing attention in recent years for it...
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12/12/2022
Scale-Semantic Joint Decoupling Network for Image-text Retrieval in Remote Sensing
Image-text retrieval in remote sensing aims to provide flexible informat...
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11/07/2022
FIXED: Frustratingly Easy Domain Generalization with Mixup
Domain generalization (DG) aims to learn a generalizable model from mult...
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10/22/2022
Sub-network Multi-objective Evolutionary Algorithm for Filter Pruning
Filter pruning is a common method to achieve model compression and accel...
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10/11/2022
Understanding the Failure of Batch Normalization for Transformers in NLP
Batch Normalization (BN) is a core and prevalent technique in accelerati...
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10/07/2022
An Investigation into Whitening Loss for Self-supervised Learning
A desirable objective in self-supervised learning (SSL) is to avoid feat...
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09/13/2022
MDM: Molecular Diffusion Model for 3D Molecule Generation
Molecule generation, especially generating 3D molecular geometries from ...
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07/31/2022
Generalized truncated moment problems with unbounded sets
This paper studies generalized truncated moment problems with unbounded ...
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06/16/2022
Towards Better Understanding with Uniformity and Explicit Regularization of Embeddings in Embedding-based Neural Topic Models
Embedding-based neural topic models could explicitly represent words and...
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03/24/2022
Bi-level Doubly Variational Learning for Energy-based Latent Variable Models
Energy-based latent variable models (EBLVMs) are more expressive than co...
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03/21/2022
Delving into the Estimation Shift of Batch Normalization in a Network
Batch normalization (BN) is a milestone technique in deep learning. It n...
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11/23/2021
Armada: A Robust Latency-Sensitive Edge Cloud in Heterogeneous Edge-Dense Environments
Edge computing has enabled a large set of emerging edge applications by ...
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10/27/2021
Rot-Pro: Modeling Transitivity by Projection in Knowledge Graph Embedding
Knowledge graph embedding models learn the representations of entities a...
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07/09/2021
Joint Matrix Decomposition for Deep Convolutional Neural Networks Compression
Deep convolutional neural networks (CNNs) with a large number of paramet...
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07/04/2021
KAISA: An Adaptive Second-order Optimizer Framework for Deep Neural Networks
Kronecker-factored Approximate Curvature (K-FAC) has recently been shown...
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04/08/2021
One-bit Spectrum Sensing with the Eigenvalue Moment Ratio Approach
One-bit analog-to-digital converter (ADC), performing signal sampling as...
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02/26/2021
Many-to-One Distribution Learning and K-Nearest Neighbor Smoothing for Thoracic Disease Identification
Chest X-rays are an important and accessible clinical imaging tool for t...
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02/17/2021
S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution Calibration
Previous studies dominantly target at self-supervised learning on real-v...
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01/25/2021
EGFI: Drug-Drug Interaction Extraction and Generation with Fusion of Enriched Entity and Sentence Information
The rapid growth in literature accumulates diverse and yet comprehensive...
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12/10/2020
Slimmable Generative Adversarial Networks
Generative adversarial networks (GANs) have achieved remarkable progress...
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12/03/2020
Towards Defending Multiple Adversarial Perturbations via Gated Batch Normalization
There is now extensive evidence demonstrating that deep neural networks ...
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10/14/2020
Effects of the Nonlinearity in Activation Functions on the Performance of Deep Learning Models
The nonlinearity of activation functions used in deep learning models ar...
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09/28/2020
Group Whitening: Balancing Learning Efficiency and Representational Capacity
Batch normalization (BN) is an important technique commonly incorporated...
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09/27/2020
Normalization Techniques in Training DNNs: Methodology, Analysis and Application
Normalization techniques are essential for accelerating the training and...
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07/09/2020
Invertible Zero-Shot Recognition Flows
Deep generative models have been successfully applied to Zero-Shot Learn...
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07/01/2020
Convolutional Neural Network Training with Distributed K-FAC
Training neural networks with many processors can reduce time-to-solutio...
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05/30/2020
Topic Detection and Summarization of User Reviews
A massive amount of reviews are generated daily from various platforms. ...
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04/02/2020
Controllable Orthogonalization in Training DNNs
Orthogonality is widely used for training deep neural networks (DNNs) du...
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04/01/2020
An Efficient Agreement Mechanism in CapsNets By Pairwise Product
Capsule networks (CapsNets) are capable of modeling visual hierarchical ...
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03/27/2020
An Investigation into the Stochasticity of Batch Whitening
Batch Normalization (BN) is extensively employed in various network arch...
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03/12/2020
The Medical Scribe: Corpus Development and Model Performance Analyses
There is a growing interest in creating tools to assist in clinical note...
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02/25/2020
Exploring Learning Dynamics of DNNs via Layerwise Conditioning Analysis
Conditioning analysis uncovers the landscape of optimization objective b...
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02/01/2020
Unbiased Scene Graph Generation via Rich and Fair Semantic Extraction
Extracting graph representation of visual scenes in image is a challengi...
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07/03/2019
Deformable Tube Network for Action Detection in Videos
We address the problem of spatio-temporal action detection in videos. Ex...
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04/18/2019
Query-Adaptive Hash Code Ranking for Large-Scale Multi-View Visual Search
Hash based nearest neighbor search has become attractive in many applica...
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04/06/2019
Iterative Normalization: Beyond Standardization towards Efficient Whitening
Batch Normalization (BN) is ubiquitously employed for accelerating neura...
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01/11/2019
Analyzing Periodicity and Saliency for Adult Video Detection
Content-based adult video detection plays an important role in preventin...
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11/29/2018
Utilizing Complex-valued Network for Learning to Compare Image Patches
At present, the great achievements of convolutional neural network(CNN) ...
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09/27/2018
FanStore: Enabling Efficient and Scalable I/O for Distributed Deep Learning
Emerging Deep Learning (DL) applications introduce heavy I/O workloads o...
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06/05/2018
Data-driven Analytics for Business Architectures: Proposed Use of Graph Theory
Business Architecture (BA) plays a significant role in helping organizat...
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04/23/2018
Decorrelated Batch Normalization
Batch Normalization (BN) is capable of accelerating the training of deep...
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12/10/2017
DGCNN: Disordered Graph Convolutional Neural Network Based on the Gaussian Mixture Model
Convolutional neural networks (CNNs) can be applied to graph similarity ...
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10/06/2017
Projection Based Weight Normalization for Deep Neural Networks
Optimizing deep neural networks (DNNs) often suffers from the ill-condit...
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05/31/2017
