Papers
Sat 22 Jul 2023
93 papers
- InFusion: Inject and Attention Fusion for Multi Concept Zero-Shot Text-based Video EditingDiffusion models → Video generation
- Security and Privacy Issues of Federated LearningLLM safety and security → Federated unlearning and poisoning
- Rail-only: A Low-Cost High-Performance Network for Training LLMs with Trillion ParametersMixture-of-experts → Efficient MoE training and inference systems
- Spatial Self-Distillation for Object Detection with Inaccurate Bounding BoxesKnowledge distillation → Detection and dense prediction distillation
- Fast and Stable Diffusion Inverse Solver with History Gradient UpdateDiffusion models → Inverse problems and image restoration
- FSDiffReg: Feature-wise and Score-wise Diffusion-guided Unsupervised Deformable Image Registration for Cardiac ImagesDiffusion models → Medical imaging and segmentation
- GEM: Boost Simple Network for Glass Surface Segmentation via Vision Foundation ModelsDiffusion models → Medical imaging and segmentation
- Expert Knowledge-Aware Image Difference Graph Representation Learning for Difference-Aware Medical Visual Question AnsweringMultimodal LLMs / vision-language models → Medical vision-language models
- Why Is Prompt Tuning for Vision-Language Models Robust to Noisy Labels?Multimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Sparse Index Tracking: Simultaneous Asset Selection and Capital Allocation via ℓ0-Constrained Portfolio
- Applications of Machine Learning to Modelling and Analysing Dynamical Systems
- How to Design and Deliver Courses for Higher Education in the AI Era: Insights from Exam Data Analysis
- Contrastive Self-Supervised Learning Based Approach for Patient Similarity: A Case Study on Atrial Fibrillation Detection from PPG Signal
- P=uioio: On-device Real-Time Smartphone-Based Automated Exercise Repetition Counting System
- FinPT: Financial Risk Prediction with Profile Tuning on Pretrained Foundation Models
- Pyrus Base: An Open Source Python Framework for the RoboCup 2D Soccer Simulation
- Learned Gridification for Efficient Point Cloud Processing
- Exploring MLOps Dynamics: An Experimental Analysis in a Real-World Machine Learning Project
- Extracting Molecular Properties from Natural Language with Multimodal Contrastive Learning
- Multi-representations Space Separation based Graph-level Anomaly-aware Detection
- Machine learning discovers invariants of braids and flat braids
- On the Expressivity of Multidimensional Markov Reward
- An X3D Neural Network Analysis for Runner's Performance Assessment in a Wild Sporting Environment
- Prototype-Driven and Multi-Expert Integrated Multi-Modal MR Brain Tumor Image Segmentation
- Recognizing Unseen States of Unknown Objects by Leveraging Knowledge Graphs
- Named Entity Resolution in Personal Knowledge Graphs
- Challenges for Monocular 6D Object Pose Estimation in Robotics
- Learn to Compress (LtC): Efficient Learning-based Streaming Video Analytics
- Hallucination Improves the Performance of Unsupervised Visual Representation Learning
- The Imitation Game: Detecting Human and AI-Generated Texts in the Era of ChatGPT and BARD
- Facial Point Graphs for Amyotrophic Lateral Sclerosis Identification
- DIP-RL: Demonstration-Inferred Preference Learning in Minecraft
- Identifying contributors to supply chain outcomes in a multi-echelon setting: a decentralised approach
- Identifying Misinformation on YouTube through Transcript Contextual Analysis with Transformer Models
- Real-Time Neural Video Recovery and Enhancement on Mobile Devices
- Does color modalities affect handwriting recognition? An empirical study on Persian handwritings using convolutional neural networks
- CorrFL: Correlation-Based Neural Network Architecture for Unavailability Concerns in a Heterogeneous IoT Environment
- A Vision for Cleaner Rivers: Harnessing Snapshot Hyperspectral Imaging to Detect Macro-Plastic Litter
- Emergence of Adaptive Circadian Rhythms in Deep Reinforcement Learning
- SCPAT-GAN: Structural Constrained and Pathology Aware Convolutional Transformer-GAN for Virtual Histology Staining of Human Coronary OCT images
- Using Reinforcement Learning for the Three-Dimensional Loading Capacitated Vehicle Routing Problem
- The Sample Complexity of Multi-Distribution Learning for VC Classes
- Modality Confidence Aware Training for Robust End-to-End Spoken Language Understanding
- Route Planning Using Nature-Inspired Algorithms
- Explainable Topic-Enhanced Argument Mining from Heterogeneous Sources
- Estimating temperatures with low-cost infrared cameras using deep neural networks
- AI on the Road: A Comprehensive Analysis of Traffic Accidents and Accident Detection System in Smart Cities
- Synthesis of Batik Motifs using a Diffusion -- Generative Adversarial Network
- Pyramid Semantic Graph-based Global Point Cloud Registration with Low Overlap
- A Revolution of Personalized Healthcare: Enabling Human Digital Twin with Mobile AIGC
- A Zero-shot and Few-shot Study of Instruction-Finetuned Large Language Models Applied to Clinical and Biomedical Tasks
- CFR-p: Counterfactual Regret Minimization with Hierarchical Policy Abstraction, and its Application to Two-player Mahjong
- Edge Guided GANs with Multi-Scale Contrastive Learning for Semantic Image Synthesis
- Active Control of Flow over Rotating Cylinder by Multiple Jets using Deep Reinforcement Learning
- Enhancing Temporal Planning Domains by Sequential Macro-actions (Extended Version)
- Replay: Multi-modal Multi-view Acted Videos for Casual Holography
- Spectral Normalized-Cut Graph Partitioning with Fairness Constraints
- Balancing Exploration and Exploitation in Hierarchical Reinforcement Learning via Latent Landmark Graphs
- Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled Perturbations
- Fast Knowledge Graph Completion using Graphics Processing Units
- Discovering Spatio-Temporal Rationales for Video Question Answering
- Patch-Wise Point Cloud Generation: A Divide-and-Conquer Approach
- Revisiting Distillation for Continual Learning on Visual Question Localized-Answering in Robotic Surgery
- Self-Supervised and Semi-Supervised Polyp Segmentation using Synthetic Data
- Flight Contrail Segmentation via Augmented Transfer Learning with Novel SR Loss Function in Hough Space
- On the Effectiveness of Spectral Discriminators for Perceptual Quality Improvement
- Latent Utility Q-Learning for Preference-Adaptive Dynamic Treatment Regimes
- Model Predictive Control (MPC) of an Artificial Pancreas with Data-Driven Learning of Multi-Step-Ahead Blood Glucose Predictors
- NLCUnet: Single-Image Super-Resolution Network with Hairline Details
- SCOL: Supervised Contrastive Ordinal Loss for Abdominal Aortic Calcification Scoring on Vertebral Fracture Assessment Scans
- COLosSAL: A Benchmark for Cold-start Active Learning for 3D Medical Image Segmentation
- A Stronger Stitching Algorithm for Fisheye Images based on Deblurring and Registration
- Psy-LLM: Scaling up Global Mental Health Psychological Services with AI-based Large Language Models
- Morphology-inspired Unsupervised Gland Segmentation via Selective Semantic Grouping
- Sparse then Prune: Toward Efficient Vision Transformers
- Learning Vision-and-Language Navigation from YouTube Videos
- Collaborative Graph Neural Networks for Attributed Network Embedding
- Simulation of Arbitrary Level Contrast Dose in MRI Using an Iterative Global Transformer Model
- Two-stream Multi-level Dynamic Point Transformer for Two-person Interaction Recognition
- Out-of-Distribution Optimality of Invariant Risk Minimization
- An Intelligent Remote Sensing Image Quality Inspection System
- MIMONet: Multi-Input Multi-Output On-Device Deep Learning
- DHC: Dual-debiased Heterogeneous Co-training Framework for Class-imbalanced Semi-supervised Medical Image Segmentation
- Topology-Preserving Automatic Labeling of Coronary Arteries via Anatomy-aware Connection Classifier
- Pick the Best Pre-trained Model: Towards Transferability Estimation for Medical Image Segmentation
- High-performance real-world optical computing trained by in situ gradient-based model-free optimization
- Implicit Interpretation of Importance Weight Aware Updates
- On-Robot Bayesian Reinforcement Learning for POMDPs
- Pathology-and-genomics Multimodal Transformer for Survival Outcome Prediction
- HIQL: Offline Goal-Conditioned RL with Latent States as Actions
- The instabilities of large learning rate training: a loss landscape view
- Collaboratively Learning Linear Models with Structured Missing Data
- Towards Vertical Privacy-Preserving Symbolic Regression via Secure Multiparty Computation