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08/01/2023
Reinforcement Learning-based Non-Autoregressive Solver for Traveling Salesman Problems
The Traveling Salesman Problem (TSP) is a well-known problem in combinat...
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07/30/2023
Proof-of-Federated-Learning-Subchain: Free Partner Selection Subchain Based on Federated Learning
The continuous thriving of the Blockchain society motivates research in ...
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06/15/2023
Training Multimedia Event Extraction With Generated Images and Captions
Contemporary news reporting increasingly features multimedia content, mo...
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05/23/2023
Learning Remote Sensing Object Detection with Single Point Supervision
Pointly Supervised Object Detection (PSOD) has attracted considerable in...
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05/11/2023
InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning
General-purpose language models that can solve various language-domain t...
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04/20/2023
Movie Box Office Prediction With Self-Supervised and Visually Grounded Pretraining
Investments in movie production are associated with a high level of risk...
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04/10/2023
Monte Carlo Linear Clustering with Single-Point Supervision is Enough for Infrared Small Target Detection
Single-frame infrared small target (SIRST) detection aims at separating ...
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12/21/2022
From Images to Textual Prompts: Zero-shot VQA with Frozen Large Language Models
Large language models (LLMs) have demonstrated excellent zero-shot gener...
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12/20/2022
Is GPT-3 a Good Data Annotator?
GPT-3 (Generative Pre-trained Transformer 3) is a large-scale autoregres...
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11/23/2022
Evaluating and Mitigating Static Bias of Action Representations in the Background and the Foreground
Deep neural networks for video action recognition easily learn to utiliz...
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10/20/2022
A Survey of Computer Vision Technologies In Urban and Controlled-environment Agriculture
In the evolution of agriculture to its next stage, Agriculture 5.0, arti...
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10/17/2022
Plug-and-Play VQA: Zero-shot VQA by Conjoining Large Pretrained Models with Zero Training
Visual question answering (VQA) is a hallmark of vision and language rea...
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10/06/2022
Improving the Sample Efficiency of Prompt Tuning with Domain Adaptation
Prompt tuning, or the conditioning of a frozen pretrained language model...
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09/28/2022
MTU-Net: Multi-level TransUNet for Space-based Infrared Tiny Ship Detection
Space-based infrared tiny ship detection aims at separating tiny ships f...
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06/29/2022
Minimalist and High-performance Conversational Recommendation with Uncertainty Estimation for User Preference
Conversational recommendation system (CRS) is emerging as a user-friendl...
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06/01/2022
Efficient Self-supervised Vision Pretraining with Local Masked Reconstruction
Self-supervised learning for computer vision has achieved tremendous pro...
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03/11/2022
Synopses of Movie Narratives: a Video-Language Dataset for Story Understanding
Despite recent advances of AI, story understanding remains an open and u...
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10/19/2021
Improving Tail-Class Representation with Centroid Contrastive Learning
In vision domain, large-scale natural datasets typically exhibit long-ta...
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08/03/2021
Noise-Resistant Deep Metric Learning with Probabilistic Instance Filtering
Noisy labels are commonly found in real-world data, which cause performa...
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06/09/2021
Initialization Matters: Regularizing Manifold-informed Initialization for Neural Recommendation Systems
Proper initialization is crucial to the optimization and the generalizat...
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06/01/2021
Dense Nested Attention Network for Infrared Small Target Detection
Single-frame infrared small target (SIRST) detection aims at separating ...
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05/31/2021
Non-Convex Tensor Low-Rank Approximation for Infrared Small Target Detection
Infrared small target detection plays an important role in many infrared...
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04/19/2021
Latent-Optimized Adversarial Neural Transfer for Sarcasm Detection
The existence of multiple datasets for sarcasm detection prompts us to a...
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03/30/2021
Noise-resistant Deep Metric Learning with Ranking-based Instance Selection
The existence of noisy labels in real-world data negatively impacts the ...
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02/04/2021
HYDRA: Hypergradient Data Relevance Analysis for Interpreting Deep Neural Networks
The behaviors of deep neural networks (DNNs) are notoriously resistant t...
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12/03/2020
Federated Learning with Diversified Preference for Humor Recognition
Understanding humor is critical to creative language modeling with many ...
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11/15/2020
Data-efficient Alignment of Multimodal Sequences by Aligning Gradient Updates and Internal Feature Distributions
The task of video and text sequence alignment is a prerequisite step tow...
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07/29/2020
Proof of Learning (PoLe): Empowering Machine Learning with Consensus Building on Blockchains
The progress of deep learning (DL), especially the recent development of...
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03/25/2020
Long-tail Visual Relationship Recognition with a Visiolinguistic Hubless Loss
Scaling up the vocabulary and complexity of current visual understanding...
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12/30/2019
Searching for Stage-wise Neural Graphs In the Limit
Search space is a key consideration for neural architecture search. Rece...
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12/07/2019
Does Interpretability of Neural Networks Imply Adversarial Robustness?
The success of deep neural networks is clouded by two issues that largel...
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09/11/2019
Privacy-Aware Cost-Effective Scheduling Considering Non-Schedulable Appliances in Smart Home
A Smart Home provides integrating and electronic information services to...
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09/10/2019
NormLime: A New Feature Importance Metric for Explaining Deep Neural Networks
The problem of explaining deep learning models, and model predictions ge...
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05/31/2019
Real-Time Adversarial Attacks
In recent years, many efforts have demonstrated that modern machine lear...
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04/15/2019
Exploiting Computation Power of Blockchain for Biomedical Image Segmentation
Biomedical image segmentation based on Deep neuralnetwork (DNN) is a pro...
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02/11/2019
Energy-recycling Blockchain with Proof-of-Deep-Learning
An enormous amount of energy is wasted in Proofof-Work (PoW) mechanisms ...
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12/21/2018
A Multi-task Neural Approach for Emotion Attribution, Classification and Summarization
Emotional content is a crucial ingredient in user-generated videos. Howe...
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04/06/2018
Understanding Actors and Evaluating Personae with Gaussian Embeddings
Understanding narrative content has become an increasingly popular topic...
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04/06/2018
Learning Joint Gaussian Representations for Movies, Actors, and Literary Characters
Understanding of narrative content has become an increasingly popular to...
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02/28/2018
Joint Event Detection and Description in Continuous Video Streams
As a fine-grained video understanding task, dense video captioning invol...
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02/19/2018
LSTM stack-based Neural Multi-sequence Alignment TeCHnique (NeuMATCH)
The alignment of heterogeneous sequential data (video to text) is an imp...
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02/13/2018
Automated Reporting of GUI Design Violations for Mobile Apps
The inception of a mobile app often takes form of a mock-up of the Graph...
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10/08/2017
Annotating High-Level Structures of Short Stories and Personal Anecdotes
Stories are a vital form of communication in human culture; they are emp...
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07/20/2017
Predicting Personality from Book Preferences with User-Generated Content Labels
Psychological studies have shown that personality traits are associated ...
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07/08/2017
Predicting the Quality of Short Narratives from Social Media
An important and difficult challenge in building computational models fo...
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11/16/2015
