Papers
Sat 1 Apr 2023
72 papers
- Influence of the Geometry of the world model on Curiosity Based ExplorationWorld models → World models for language agents
- MATURE-HEALTH: HEALTH Recommender System for MAndatory FeaTURE choices
- GradMDM: Adversarial Attack on Dynamic Networks
- MP-FedCL: Multiprototype Federated Contrastive Learning for Edge Intelligence
- Network Visualization of ChatGPT Research: a study based on term and keyword co-occurrence network analysis
- Evaluating Large Language Models on a Highly-specialized Topic, Radiation Oncology Physics
- Multi-Microgrid Collaborative Optimization Scheduling Using an Improved Multi-Agent Soft Actor-Critic Algorithm
- NeuroDAVIS: A neural network model for data visualization
- Evaluating the impact of an explainable machine learning system on the interobserver agreement in chest radiograph interpretation
- DiverseVul: A New Vulnerable Source Code Dataset for Deep Learning Based Vulnerability Detection
- From Zero to Hero: Convincing with Extremely Complicated Math
- Connected and Automated Vehicles in Mixed-Traffic: Learning Human Driver Behavior for Effective On-Ramp Merging
- Managing Cold-start in The Serverless Cloud with Temporal Convolutional Networks
- Towards Understanding the Mechanism of Contrastive Learning via Similarity Structure: A Theoretical Analysis
- Multilevel CNNs for Parametric PDEs
- HaLP: Hallucinating Latent Positives for Skeleton-based Self-Supervised Learning of Actions
- Keep the Conversation Going: Fixing 162 out of 337 bugs for 0.42 each using ChatGPT
- Improved Multimodal Fusion for Small Datasets with Auxiliary Supervision
- Knowledge Graph Embedding with 3D Compound Geometric Transformations
- Beyond One-Size-Fits-All: A Survey of Personalized Affective Computing in Human-Agent Interaction
- Physics-informed machine learning for moving load problems
- Conveying Autonomous Robot Capabilities through Contrasting Behaviour Summaries
- Adaptive Failure Search Using Critical States from Domain Experts
- Mastering Pair Trading with Risk-Aware Recurrent Reinforcement Learning
- Automatic Authorship Attribution in the Work of Tirso de Molina
- SeSDF: Self-evolved Signed Distance Field for Implicit 3D Clothed Human Reconstruction
- On Context Distribution Shift in Task Representation Learning for Offline Meta RL
- When Crowd Meets Persona: Creating a Large-Scale Open-Domain Persona Dialogue Corpus
- Factorization of Multi-Agent Sampling-Based Motion Planning
- JacobiNeRF: NeRF Shaping with Mutual Information Gradients
- Scientific Computing Algorithms to Learn Enhanced Scalable Surrogates for Mesh Physics
- Volumetric Attribute Compression for 3D Point Clouds using Feedforward Network with Geometric Attention
- TalkCLIP: Talking Head Generation with Text-Guided Expressive Speaking Styles
- Multi-view reconstruction of bullet time effect based on improved NSFF model
- SVT: Supertoken Video Transformer for Efficient Video Understanding
- Doubly Stochastic Models: Learning with Unbiased Label Noises and Inference Stability
- Medical Pathologies Prediction : Systematic Review and Proposed Approach
- CapsFlow: Optical Flow Estimation with Capsule Networks
- Predictive Heterogeneity: Measures and Applications
- Fair-CDA: Continuous and Directional Augmentation for Group Fairness
- BioSequence2Vec: Efficient Embedding Generation For Biological Sequences
- Vision Transformers with Mixed-Resolution Tokenization
- Branch Identification in Passive Optical Networks using Machine Learning
- Progressive Channel-Shrinking Network
- NPR: Nocturnal Place Recognition in Streets
- Data Privacy Preservation on the Internet of Things
- RADIFUSION: A multi-radiomics deep learning based breast cancer risk prediction model using sequential mammographic images with image attention and bilateral asymmetry refinement
- DOAD: Decoupled One Stage Action Detection Network
- Q-DETR: An Efficient Low-Bit Quantized Detection Transformer
- Recover Triggered States: Protect Model Against Backdoor Attack in Reinforcement Learning
- From Conception to Deployment: Intelligent Stroke Prediction Framework using Machine Learning and Performance Evaluation
- Reusing Deep Neural Network Models through Model Re-engineering
- GLT-T++: Global-Local Transformer for 3D Siamese Tracking with Ranking Loss
- What Does the Indian Parliament Discuss? An Exploratory Analysis of the Question Hour in the Lok Sabha
- Restarted Bayesian Online Change-point Detection for Non-Stationary Markov Decision Processes
- Accuracy and Political Bias of News Source Credibility Ratings by Large Language Models
- Automatic High Resolution Wire Segmentation and Removal
- ConvBLS: An Effective and Efficient Incremental Convolutional Broad Learning System for Image Classification
- Mask Hierarchical Features For Self-Supervised Learning
- Cross-scale Multi-instance Learning for Pathological Image Diagnosis
- Inductive Relation Prediction from Relational Paths and Context with Hierarchical Transformers
- Devil is in the Queries: Advancing Mask Transformers for Real-world Medical Image Segmentation and Out-of-Distribution Localization
- MonoPIC -- A Monocular Low-Latency Pedestrian Intention Classification Framework for IoT Edges Using ID3 Modelled Decision Trees
- Improving Fast Adversarial Training with Prior-Guided Knowledge
- Diffusion map particle systems for generative modeling
- Applications of No-Collision Transportation Maps in Manifold Learning
- Sequential Learning from Noisy Data: Data-Assimilation Meets Echo-State Network
- Abstractors and relational cross-attention: An inductive bias for explicit relational reasoning in Transformers
- Safe Perception-Based Control under Stochastic Sensor Uncertainty using Conformal Prediction
- Leveraging Neo4j and deep learning for traffic congestion simulation & optimization
- Subject-driven Text-to-Image Generation via Apprenticeship Learning
- PrefGen: Preference Guided Image Generation with Relative Attributes