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Found 20 papers, 8 papers with code
A Hierarchical Framework with Spatio-Temporal Consistency Learning for Emergence Detection in Complex Adaptive Systems
Representations of the agents and the system are learned by preserving the intrinsic spatio-temporal consistency in a self-supervised manner.
Plasticine3D: Non-rigid 3D editting with text guidance
Firstly, our work divides the editing process into a geometry editing stage and a texture editing stage to achieve more detailed and photo-realistic results ; Secondly, in order to perform non-rigid transformation with controllable results while maintain the fidelity towards original 3D models in the same time, we propose a multi-view-embedding(MVE) optimization strategy to ensure that the diffusion model learns the overall features of the original object and an embedding-fusion(EF) to control the degree of editing by adjusting the value of the fusing rate.
PsyEval: A Comprehensive Large Language Model Evaluation Benchmark for Mental Health
Recently, there has been a growing interest in utilizing large language models (LLMs) in mental health research, with studies showcasing their remarkable capabilities, such as disease detection.
Automated Bioinformatics Analysis via AutoBA
With the fast-growing and evolving omics data, the demand for streamlined and adaptable tools to handle the analysis continues to grow.
Compressing Vision Transformers for Low-Resource Visual Learning
In our work, we aim to take a step toward bringing vision transformers to the edge by utilizing popular model compression techniques such as distillation, pruning, and quantization.
DifFSS: Diffusion Model for Few-Shot Semantic Segmentation
Although various few-shot semantic segmentation (FSS) models with different network structures have been proposed, performance improvement has reached a bottleneck.
Ranked #5 on
Few-Shot Semantic Segmentation
on PASCAL-5i (1-Shot)
LLM-empowered Chatbots for Psychiatrist and Patient Simulation: Application and Evaluation
Empowering chatbots in the field of mental health is receiving increasing amount of attention, while there still lacks exploration in developing and evaluating chatbots in psychiatric outpatient scenarios.
ED-Batch: Efficient Automatic Batching of Dynamic Neural Networks via Learned Finite State Machines
Further, batching puts strict restrictions on memory adjacency and can lead to high data movement costs.
DR-WLC: Dimensionality Reduction cognition for object detection and pose estimation by Watching, Learning and Checking
For example, 2D object detection usually requires a large amount of 2D annotation data with high cost.
Benchmarks for Industrial Inspection Based on Structured Light
In this paper, we propose benchmarks that can evaluate the structured light method's performance.
Symptom Identification for Interpretable Detection of Multiple Mental Disorders
Mental disease detection (MDD) from social media has suffered from poor generalizability and interpretability, due to lack of symptom modeling.
Psychiatric Scale Guided Risky Post Screening for Early Detection of Depression
Depression is a prominent health challenge to the world, and early risk detection (ERD) of depression from online posts can be a promising technique for combating the threat.
ProNet DB: A proteome-wise database for protein surface property representations and RNA-binding profiles
The rapid growth in the number of experimental and predicted protein structures and more complicated protein structures challenge users in computational biology for utilizing the structural information and protein surface property representation.
Graph Neural Networks with Dynamic and Static Representations for Social Recommendation
GNN-DSR models the short-term dynamic and long-term static interactional representations of the user's interest and the item's attraction, respectively.
Protein-RNA interaction prediction with deep learning: Structure matters
Protein-RNA interactions are of vital importance to a variety of cellular activities.
Neural Relational Inference with Efficient Message Passing Mechanisms
Additionally, the structural prior knowledge, symmetry as a special case, is introduced for better relation prediction in more complex systems.
A Registration-aided Domain Adaptation Network for 3D Point Cloud Based Place Recognition
In the field of large-scale SLAM for autonomous driving and mobile robotics, 3D point cloud based place recognition has aroused significant research interest due to its robustness to changing environments with drastic daytime and weather variance.
UoR at SemEval-2020 Task 8: Gaussian Mixture Modelling (GMM) Based Sampling Approach for Multi-modal Memotion Analysis
In this paper, a Gaussian Mixture Model sampling method is proposed to tackle the problem of class imbalance for the memes sentiment classification task.
A Novel Framework with Information Fusion and Neighborhood Enhancement for User Identity Linkage
The information fusion component adopts a group of encoders and decoders to fuse heterogeneous information and generate discriminative node embeddings for preliminary matching.
Agent Embeddings: A Latent Representation for Pole-Balancing Networks
Linearly interpolating between the latent embeddings for a good agent and a bad agent yields an agent embedding that generates a network with intermediate performance, where the performance can be tuned according to the coefficient of interpolation.
