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Found 20 papers, 8 papers with code
BodyGen: Advancing Towards Efficient Embodiment Co-Design
Embodiment co-design aims to optimize a robot's morphology and control policy simultaneously.
WalnutData: A UAV Remote Sensing Dataset of Green Walnuts and Model Evaluation
Currently, there is no dataset related to green walnuts in the field of agricultural computer vision.
Making Them a Malicious Database: Exploiting Query Code to Jailbreak Aligned Large Language Models
By treating LLMs as knowledge databases, we translate malicious queries in natural language into structured non-natural query language to bypass the safety alignment mechanisms of LLMs.
Dual-Flow: Transferable Multi-Target, Instance-Agnostic Attacks via In-the-wild Cascading Flow Optimization
Adversarial attacks are widely used to evaluate model robustness, and in black-box scenarios, the transferability of these attacks becomes crucial.
Interactive Medical Image Segmentation: A Benchmark Dataset and Baseline
To facilitate research on foundational models in medical computer vision, we release the IMed-361M and model at https://github. com/uni-medical/IMIS-Bench.
Make Your Home Safe: Time-aware Unsupervised User Behavior Anomaly Detection in Smart Homes via Loss-guided Mask
However, their performance often falls short because they do not effectively learn less frequent behaviors, consider temporal context, or account for the impact of noise in human behaviors.
Robust quantum dots charge autotuning using neural network uncertainty
This study presents a machine-learning-based procedure to automate the charge tuning of semiconductor spin qubits with minimal human intervention, addressing one of the significant challenges in scaling up quantum dot technologies.
Multi-view Gait Recognition based on Siamese Vision Transformer
Different views significantly affect the extraction and identification accuracy of the characteristics of gait contour.
KIT MOMA: A Mobile Machines Dataset
Mobile machines typically working in a closed site, have a high potential to utilize autonomous driving technology.
MixPoet: Diverse Poetry Generation via Learning Controllable Mixed Latent Space
Though recent neural models make prominent progress in some criteria of poetry quality, generated poems still suffer from the problem of poor diversity.
Jiuge: A Human-Machine Collaborative Chinese Classical Poetry Generation System
By exposing the options of poetry genres, styles and revision modes, Jiuge, acting as a professional assistant, allows constant and active participation of users in poetic creation.
Automatic Poetry Generation with Mutual Reinforcement Learning
Human experts evaluate poetry in terms of some specific criteria, instead of word-level likelihood.
Chinese Poetry Generation with a Salient-Clue Mechanism
As a precious part of the human cultural heritage, Chinese poetry has influenced people for generations.
Chinese Poetry Generation with a Working Memory Model
Different from previous methods, our model explicitly maintains topics and informative limited history in a neural memory.
Weakly Supervised Deep Learning for Thoracic Disease Classification and Localization on Chest X-rays
Chest X-rays is one of the most commonly available and affordable radiological examinations in clinical practice.
Robust Actor-Critic Contextual Bandit for Mobile Health (mHealth) Interventions
Extensive experiment results on two datasets demonstrate that our method can achieve almost identical results compared with state-of-the-art contextual bandit methods on the dataset without outliers, and significantly outperform those state-of-the-art methods on the badly noised dataset with outliers in a variety of parameter settings.
Adaptive Graph Convolutional Neural Networks
Graph Convolutional Neural Networks (Graph CNNs) are generalizations of classical CNNs to handle graph data such as molecular data, point could and social networks.
Learning Graph While Training: An Evolving Graph Convolutional Neural Network
Convolution Neural Networks on Graphs are important generalization and extension of classical CNNs.
Generating Chinese Classical Poems with RNN Encoder-Decoder
We take the generation of Chinese classical poem lines as a sequence-to-sequence learning problem, and build a novel system based on the RNN Encoder-Decoder structure to generate quatrains (Jueju in Chinese), with a topic word as input.
Hybrid Maximum Likelihood Modulation Classification Using Multiple Radios
The performance of a modulation classifier is highly sensitive to channel signal-to-noise ratio (SNR).
