Papers
Sun 30 Jul 2023
86 papers
- Crystal Structure Prediction by Joint Equivariant DiffusionDiffusion models → Flow matching, time series and science
- An Unforgeable Publicly Verifiable Watermark for Large Language ModelsLLM safety and security → Watermarking generated content and models
- HD-Fusion: Detailed Text-to-3D Generation Leveraging Multiple Noise EstimationDiffusion models → 3D, point cloud and scene generation
- SEED-Bench: Benchmarking Multimodal LLMs with Generative ComprehensionMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- MTD-GPT: A Multi-Task Decision-Making GPT Model for Autonomous Driving at Unsignalized IntersectionsEnd-to-end autonomous driving → Reinforcement learning for driving
- TransFusion: A Practical and Effective Transformer-based Diffusion Model for 3D Human Motion PredictionDiffusion models → Video generation
- Trajectory-aware Principal Manifold Framework for Data Augmentation and Image Generation
- Weakly supervised learning for pattern classification in serial femtosecond crystallography
- Evaluating ChatGPT and GPT-4 for Visual Programming
- Improving Probabilistic Bisimulation for MDPs Using Machine Learning
- CLGT: A Graph Transformer for Student Performance Prediction in Collaborative Learning
- Proposing a conceptual framework: social media listening for public health behavior
- LaFiCMIL: Rethinking Large File Classification from the Perspective of Correlated Multiple Instance Learning
- Efficient Federated Learning via Local Adaptive Amended Optimizer with Linear Speedup
- Rating-based Reinforcement Learning
- Proof-of-Federated-Learning-Subchain: Free Partner Selection Subchain Based on Federated Learning
- Distractor generation for multiple-choice questions with predictive prompting and large language models
- Anatomy of an AI-powered malicious social botnet
- Theoretically Principled Trade-off for Stateful Defenses against Query-Based Black-Box Attacks
- Mispronunciation detection using self-supervised speech representations
- RoseNNa: A performant, portable library for neural network inference with application to computational fluid dynamics
- Self-Supervised Learning of Gait-Based Biomarkers
- Towards Practical Robustness Auditing for Linear Regression
- Mask-guided Data Augmentation for Multiparametric MRI Generation with a Rare Hepatocellular Carcinoma
- Triple Correlations-Guided Label Supplementation for Unbiased Video Scene Graph Generation
- Representing and Reasoning with Multi-Stakeholder Qualitative Preference Queries
- You Shall Pass: Dealing with the Zero-Gradient Problem in Predict and Optimize for Convex Optimization
- Implementing Edge Based Object Detection For Microplastic Debris
- Towards Learned Predictability of Storage Systems
- Predicting delays in Indian lower courts using AutoML and Decision Forests
- Stylized Projected GAN: A Novel Architecture for Fast and Realistic Image Generation
- zkDL: Efficient Zero-Knowledge Proofs of Deep Learning Training
- Recent Advances in Hierarchical Multi-label Text Classification: A Survey
- Validating polyp and instrument segmentation methods in colonoscopy through Medico 2020 and MedAI 2021 Challenges
- 3D Medical Image Segmentation with Sparse Annotation via Cross-Teaching between 3D and 2D Networks
- Count, Decode and Fetch: A New Approach to Handwritten Chinese Character Error Correction
- DRL4Route: A Deep Reinforcement Learning Framework for Pick-up and Delivery Route Prediction
- SR-R2KAC: Improving Single Image Defocus Deblurring
- Synaptic Plasticity Models and Bio-Inspired Unsupervised Deep Learning: A Survey
- Spiking Neural Networks and Bio-Inspired Supervised Deep Learning: A Survey
- Robust Electric Vehicle Balancing of Autonomous Mobility-On-Demand System: A Multi-Agent Reinforcement Learning Approach
- InfoStyler: Disentanglement Information Bottleneck for Artistic Style Transfer
- ScribbleVC: Scribble-supervised Medical Image Segmentation with Vision-Class Embedding
- Optimizing the Neural Network Training for OCR Error Correction of Historical Hebrew Texts
- Unsupervised Decomposition Networks for Bias Field Correction in MR Image
- Text Analysis Using Deep Neural Networks in Digital Humanities and Information Science
- Question Answering with Deep Neural Networks for Semi-Structured Heterogeneous Genealogical Knowledge Graphs
- Toward a Period-Specific Optimized Neural Network for OCR Error Correction of Historical Hebrew Texts
- Robust Multi-Agent Reinforcement Learning with State Uncertainty
- Rethinking Uncertainly Missing and Ambiguous Visual Modality in Multi-Modal Entity Alignment
- Around the GLOBE: Numerical Aggregation Question-Answering on Heterogeneous Genealogical Knowledge Graphs with Deep Neural Networks
- Synthesizing Event-centric Knowledge Graphs of Daily Activities Using Virtual Space
- Mesh Density Adaptation for Template-based Shape Reconstruction
- Open-Set Domain Adaptation with Visual-Language Foundation Models
- Deep Convolutional Neural Networks with Zero-Padding: Feature Extraction and Learning
- A Knowledge-enhanced Two-stage Generative Framework for Medical Dialogue Information Extraction
- Improving TTS for Shanghainese: Addressing Tone Sandhi via Word Segmentation
- Gastrointestinal Mucosal Problems Classification with Deep Learning
- Shuffled Differentially Private Federated Learning for Time Series Data Analytics
- Stabilizing Backpropagation in 16-bit Neural Training with Modified Adam Optimizer
- ESP: Exploiting Symmetry Prior for Multi-Agent Reinforcement Learning
- UnIVAL: Unified Model for Image, Video, Audio and Language Tasks
- Redundancy-aware unsupervised rankings for collections of gene sets
- Do LLMs Possess a Personality? Making the MBTI Test an Amazing Evaluation for Large Language Models
- Fusing VHR Post-disaster Aerial Imagery and LiDAR Data for Roof Classification in the Caribbean
- InvVis: Large-Scale Data Embedding for Invertible Visualization
- Data-Driven Modeling with Experimental Augmentation for the Modulation Strategy of the Dual-Active-Bridge Converter
- HierVST: Hierarchical Adaptive Zero-shot Voice Style Transfer
- StarSRGAN: Improving Real-World Blind Super-Resolution
- Adaptive learning of density ratios in RKHS
- Motion Degeneracy in Self-supervised Learning of Elevation Angle Estimation for 2D Forward-Looking Sonar
- Variance Control for Distributional Reinforcement Learning
- StylePrompter: All Styles Need Is Attention
- A Novel DDPM-based Ensemble Approach for Energy Theft Detection in Smart Grids
- Video Frame Interpolation with Flow Transformer
- Structure-Preserving Synthesis: MaskGAN for Unpaired MR-CT Translation
- Implicit Neural Representation in Medical Imaging: A Comparative Survey
- Pupil Learning Mechanism
- Fully 1×1 Convolutional Network for Lightweight Image Super-Resolution
- User-Controlled Knowledge Fusion in Large Language Models: Balancing Creativity and Hallucination
- Uncertainty-Encoded Multi-Modal Fusion for Robust Object Detection in Autonomous Driving
- Deep Unrolling Networks with Recurrent Momentum Acceleration for Nonlinear Inverse Problems
- Augmented Math: Authoring AR-Based Explorable Explanations by Augmenting Static Math Textbooks
- TMPNN: High-Order Polynomial Regression Based on Taylor Map Factorization
- AI Increases Global Access to Reliable Flood Forecasts
- On Neural Network approximation of ideal adversarial attack and convergence of adversarial training