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Found 11 papers, 3 papers with code
Text Matching Improves Sequential Recommendation by Reducing Popularity Biases
TASTE alleviates the cold start problem by representing long-tail items using full-text modeling and bringing the benefits of pretrained language models to recommendation systems.
Dimension Reduction for Efficient Dense Retrieval via Conditional Autoencoder
These embeddings need to be high-dimensional to fit training signals and guarantee the retrieval effectiveness of dense retrievers.
Ranked #1 on
Information Retrieval
on MS MARCO
Mitigating Black-Box Adversarial Attacks via Output Noise Perturbation
In this paper, we study the method of adding white noise to the DNN output to mitigate such attacks, with a unique focus on the trade-off analysis of noise level and query cost.
TPPI-Net: Towards Efficient and Practical Hyperspectral Image Classification
Hyperspectral Image(HSI) classification is the most vibrant field of research in the hyperspectral community, which aims to assign each pixel in the image to one certain category based on its spectral-spatial characteristics.
A Spike Learning System for Event-driven Object Recognition
The proposed temporal coding scheme maps each event's arrival time and data into SNN spike time so that asynchronously-arrived events are processed immediately without delay.
Spiking Neural Networks with Single-Spike Temporal-Coded Neurons for Network Intrusion Detection
To support this claim, we show that SNNs built with nonleaky neurons can have a less-complex and less-nonlinear input-output response.
Temporal Pulses Driven Spiking Neural Network for Fast Object Recognition in Autonomous Driving
Accurate real-time object recognition from sensory data has long been a crucial and challenging task for autonomous driving.
Deep SCNN-based Real-time Object Detection for Self-driving Vehicles Using LiDAR Temporal Data
In this paper, we integrate spiking convolutional neural network (SCNN) with temporal coding into the YOLOv2 architecture for real-time object detection.
Temporal-Coded Deep Spiking Neural Network with Easy Training and Robust Performance
Spiking neural network (SNN) is interesting both theoretically and practically because of its strong bio-inspiration nature and potentially outstanding energy efficiency.
Image Captioning with Integrated Bottom-Up and Multi-level Residual Top-Down Attention for Game Scene Understanding
However, little work has been done for game image captioning which has some unique characteristics and requirements.
Who is Smarter? Intelligence Measure of Learning-based Cognitive Radios
Then we apply factor analysis on the performance data to identify and quantize the intelligence factors and cognitive capabilities of the CR.
