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09/12/2023
How does representation impact in-context learning: A exploration on a synthetic task
In-context learning, i.e., learning from in-context samples, is an impre...
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08/20/2023
QoS-aware User Association and Transmission Scheduling for Millimeter-Wave Train-ground Communications
With the development of wireless communication, people have put forward ...
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08/18/2023
Inferior Alveolar Nerve Segmentation in CBCT images using Connectivity-Based Selective Re-training
Inferior Alveolar Nerve (IAN) canal detection in CBCT is an important st...
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06/20/2023
Representation Sparsification with Hybrid Thresholding for Fast SPLADE-based Document Retrieval
Learned sparse document representations using a transformer-based neural...
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05/31/2023
Distributed Online Convex Optimization with Adversarial Constraints: Reduced Cumulative Constraint Violation Bounds under Slater's Condition
This paper considers distributed online convex optimization with adversa...
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05/30/2023
Multi-source adversarial transfer learning for ultrasound image segmentation with limited similarity
Lesion segmentation of ultrasound medical images based on deep learning ...
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05/29/2023
Vector-based Representation is the Key: A Study on Disentanglement and Compositional Generalization
Recognizing elementary underlying concepts from observations (disentangl...
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05/26/2023
FARA: Future-aware Ranking Algorithm for Fairness Optimization
Ranking systems are the key components of modern Information Retrieval (...
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05/26/2023
Mitigating Exploitation Bias in Learning to Rank with an Uncertainty-aware Empirical Bayes Approach
Ranking is at the core of many artificial intelligence (AI) applications...
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05/02/2023
Optimizing Guided Traversal for Fast Learned Sparse Retrieval
Recent studies show that BM25-driven dynamic index skipping can greatly ...
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04/20/2023
A geometry-aware deep network for depth estimation in monocular endoscopy
Monocular depth estimation is critical for endoscopists to perform spati...
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03/23/2023
Continuous Indeterminate Probability Neural Network
This paper introduces a general model called CIPNN - Continuous Indeterm...
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03/21/2023
Indeterminate Probability Neural Network
We propose a new general model called IPNN - Indeterminate Probability N...
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03/14/2023
Koos Classification of Vestibular Schwannoma via Image Translation-Based Unsupervised Cross-Modality Domain Adaptation
The Koos grading scale is a classification system for vestibular schwann...
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02/16/2023
Research on road object detection algorithm based on improved YOLOX
Road object detection is an important branch of automatic driving techno...
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01/31/2023
DisDiff: Unsupervised Disentanglement of Diffusion Probabilistic Models
In this paper, targeting to understand the underlying explainable factor...
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12/22/2022
DDColor: Towards Photo-Realistic and Semantic-Aware Image Colorization via Dual Decoders
Automatic image colorization is a particularly challenging problem. Due ...
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12/18/2022
Marginal-Certainty-aware Fair Ranking Algorithm
Ranking systems are ubiquitous in modern Internet services, including on...
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12/03/2022
Orders Are Unwanted: Dynamic Deep Graph Convolutional Network for Personality Detection
Predicting personality traits based on online posts has emerged as an im...
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11/03/2022
Extracting Spatial Interaction Patterns between Urban Road Networks and Mixed Functions
In the field of urban planning, road network system planning is often th...
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10/27/2022
RePAST: A ReRAM-based PIM Accelerator for Second-order Training of DNN
The second-order training methods can converge much faster than first-or...
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10/12/2022
AD-DROP: Attribution-Driven Dropout for Robust Language Model Fine-Tuning
Fine-tuning large pre-trained language models on downstream tasks is apt...
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10/08/2022
Fast-ParC: Position Aware Global Kernel for ConvNets and ViTs
Transformer models have made tremendous progress in various fields in re...
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10/04/2022
Doubly-Irregular Repeat-Accumulate Codes over Integer Rings for Multi-user Communications
Structured codes based on lattices were shown to provide enlarged capaci...
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08/16/2022
Reinforcement Learning to Rank with Coarse-grained Labels
Ranking lies at the core of many Information Retrieval (IR) tasks. While...
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06/17/2022
A Flexible Diffusion Model
Diffusion (score-based) generative models have been widely used for mode...
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06/10/2022
Learning to Rank Rationales for Explainable Recommendation
State-of-the-art recommender system (RS) mostly rely on complex deep neu...
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05/20/2022
Test-time Batch Normalization
Deep neural networks often suffer the data distribution shift between tr...
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05/20/2022
Visual Concepts Tokenization
Obtaining the human-like perception ability of abstracting visual concep...
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04/23/2022
Dual Skipping Guidance for Document Retrieval with Learned Sparse Representations
This paper proposes a dual skipping guidance scheme with hybrid scoring ...
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04/21/2022
Hybrid Cloud-Edge Collaborative Data Anomaly Detection in Industrial Sensor Networks
Industrial control systems (ICSs) are facing increasing cyber-physical a...
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04/06/2022
Effective Exposure Amortizing for Fair Top-k Recommendation
Result ranking often affects customer satisfaction as well as the amount...
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03/29/2022
Compact Token Representations with Contextual Quantization for Efficient Document Re-ranking
Transformer based re-ranking models can achieve high search relevance th...
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03/18/2022
Beyond a Video Frame Interpolator: A Space Decoupled Learning Approach to Continuous Image Transition
Video frame interpolation (VFI) aims to improve the temporal resolution ...
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03/05/2022
DroidRL: Reinforcement Learning Driven Feature Selection for Android Malware Detection
Due to the completely open-source nature of Android, the exploitable vul...
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02/26/2022
Blind Image Super Resolution with Semantic-Aware Quantized Texture Prior
A key challenge of blind image super resolution is to recover realistic ...
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02/22/2022
3D ToF LiDAR in Mobile Robotics: A Review
In the past ten years, the use of 3D Time-of-Flight (ToF) LiDARs in mobi...
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10/27/2021
Anomaly-Injected Deep Support Vector Data Description for Text Outlier Detection
Anomaly detection or outlier detection is a common task in various domai...
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08/29/2021
Multiplex Graph Neural Network for Extractive Text Summarization
Extractive text summarization aims at extracting the most representative...
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08/11/2021
ULTRA: An Unbiased Learning To Rank Algorithm Toolbox
Learning to rank systems has become an important aspect of our daily lif...
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06/09/2021
Regret and Cumulative Constraint Violation Analysis for Online Convex Optimization with Long Term Constraints
This paper considers online convex optimization with long term constrain...
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06/09/2021
Psycholinguistic Tripartite Graph Network for Personality Detection
Most of the recent work on personality detection from online posts adopt...
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05/13/2021
GAN Prior Embedded Network for Blind Face Restoration in the Wild
Blind face restoration (BFR) from severely degraded face images in the w...
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05/01/2021
Regret and Cumulative Constraint Violation Analysis for Distributed Online Constrained Convex Optimization
This paper considers the distributed online convex optimization problem ...
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04/20/2021
Efficient Online Transfer Learning for 3D Object Classification in Autonomous Driving
Autonomous driving has achieved rapid development over the last few deca...
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03/11/2021
Composite Re-Ranking for Efficient Document Search with BERT
Although considerable efforts have been devoted to transformer-based ran...
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03/02/2021
SME: ReRAM-based Sparse-Multiplication-Engine to Squeeze-Out Bit Sparsity of Neural Network
Resistive Random-Access-Memory (ReRAM) crossbar is a promising technique...
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02/21/2021
Rethinking Content and Style: Exploring Bias for Unsupervised Disentanglement
Content and style (C-S) disentanglement intends to decompose the underly...
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02/21/2021
Do Generative Models Know Disentanglement? Contrastive Learning is All You Need
Disentangled generative models are typically trained with an extra regul...
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02/20/2021