Papers
Sun 3 Sep 2023
95 papers
- RSDiff: Remote Sensing Image Generation from Text Using Diffusion ModelDiffusion models → Inverse problems and image restoration
- Diffusion Models with Deterministic Normalizing Flow PriorsDiffusion models → Diffusion foundations and sampling
- COMEDIAN: Self-Supervised Learning and Knowledge Distillation for Action Spotting using TransformersKnowledge distillation → General knowledge distillation methods
- BDC-Adapter: Brownian Distance Covariance for Better Vision-Language ReasoningLLM reasoning → Multimodal reasoning +1
- LoGoPrompt: Synthetic Text Images Can Be Good Visual Prompts for Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- EdaDet: Open-Vocabulary Object Detection Using Early Dense AlignmentMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection
- VGDiffZero: Text-to-image Diffusion Models Can Be Zero-shot Visual GroundersDiffusion models → Image generation, text-to-image and editing
- ArSDM: Colonoscopy Images Synthesis with Adaptive Refinement Semantic Diffusion ModelsDiffusion models → Medical imaging and segmentation
- A Study on the Implementation of Generative AI Services Using an Enterprise Data-Based LLM Application ArchitectureRetrieval-augmented generation → RAG pipeline design and evaluation
- Robust and Efficient Interference Neural Networks for Defending Against Adversarial Attacks in ImageNet
- Bias Testing and Mitigation in LLM-based Code Generation
- Mapping AI Arguments in Journalism Studies
- Traveling Waves Encode the Recent Past and Enhance Sequence Learning
- Generative Data Augmentation using LLMs improves Distributional Robustness in Question Answering
- Generative Social Choice
- Federated Orthogonal Training: Mitigating Global Catastrophic Forgetting in Continual Federated Learning
- MAP: Domain Generalization via Meta-Learning on Anatomy-Consistent Pseudo-Modalities
- FOR-instance: a UAV laser scanning benchmark dataset for semantic and instance segmentation of individual trees
- A Comparative Evaluation of FedAvg and Per-FedAvg Algorithms for Dirichlet Distributed Heterogeneous Data
- Bayesian inference of composition-dependent phase diagrams
- Deception Game: Closing the Safety-Learning Loop in Interactive Robot Autonomy
- SOAR: Scene-debiasing Open-set Action Recognition
- Multimodal Contrastive Learning with Hard Negative Sampling for Human Activity Recognition
- S2RF: Semantically Stylized Radiance Fields
- Large AI Model Empowered Multimodal Semantic Communications
- Modified Step Size for Enhanced Stochastic Gradient Descent: Convergence and Experiments
- Towards Generic Image Manipulation Detection with Weakly-Supervised Self-Consistency Learning
- Representations Matter: Embedding Modes of Large Language Models using Dynamic Mode Decomposition
- The Normal Distributions Indistinguishability Spectrum and its Application to Privacy-Preserving Machine Learning
- BodySLAM++: Fast and Tightly-Coupled Visual-Inertial Camera and Human Motion Tracking
- Generalizability and Application of the Skin Reflectance Estimate Based on Dichromatic Separation (SREDS)
- lfads-torch: A modular and extensible implementation of latent factor analysis via dynamical systems
- Saturn: An Optimized Data System for Large Model Deep Learning Workloads
- Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models
- Implicit regularization of deep residual networks towards neural ODEs
- Physics-inspired Neural Networks for Parameter Learning of Adaptive Cruise Control Systems
- Spectral Adversarial MixUp for Few-Shot Unsupervised Domain Adaptation
- MAGMA: Music Aligned Generative Motion Autodecoder
- A Visual Interpretation-Based Self-Improved Classification System Using Virtual Adversarial Training
- A Survey on Service Route and Time Prediction in Instant Delivery: Taxonomy, Progress, and Prospects
- LogGPT: Exploring ChatGPT for Log-Based Anomaly Detection
- Pre-trained Neural Recommenders: A Transferable Zero-Shot Framework for Recommendation Systems
- Holistic Dynamic Frequency Transformer for Image Fusion and Exposure Correction
- Cognition-Mode Aware Variational Representation Learning Framework for Knowledge Tracing
- Logic of subjective probability
- FusionAI: Decentralized Training and Deploying LLMs with Massive Consumer-Level GPUs
- Deep Unfolding Convolutional Dictionary Model for Multi-Contrast MRI Super-resolution and Reconstruction
- End-to-End Learning on Multimodal Knowledge Graphs
- Symbolically integrating tensor networks over various random tensors by the second version of Python RTNI
- Spatial-temporal Vehicle Re-identification
- Noise robust speech emotion recognition with signal-to-noise ratio adapting speech enhancement
- An Asynchronous Linear Filter Architecture for Hybrid Event-Frame Cameras
- An Accurate Graph Generative Model with Tunable Features
- Large Language Models for Generative Recommendation: A Survey and Visionary Discussions
- Advances in machine-learning-based sampling motivated by lattice quantum chromodynamics
- FedFwd: Federated Learning without Backpropagation
- Interpretable Sequence Clustering
- Attention Where It Matters: Rethinking Visual Document Understanding with Selective Region Concentration
- Financial Fraud Detection using Quantum Graph Neural Networks
- AutoML-GPT: Large Language Model for AutoML
- AI driven B-cell Immunotherapy Design
- Double Clipping: Less-Biased Variance Reduction in Off-Policy Evaluation
- Quantitative Energy Prediction based on Carbon Emission Analysis by DPR Framework
- MedChatZH: a Better Medical Adviser Learns from Better Instructions
- Hybrid-Supervised Dual-Search: Leveraging Automatic Learning for Loss-free Multi-Exposure Image Fusion
- Acoustic-to-articulatory inversion for dysarthric speech: Are pre-trained self-supervised representations favorable?
- Solving Non-Rectangular Reward-Robust MDPs via Frequency Regularization
- AdvMono3D: Advanced Monocular 3D Object Detection with Depth-Aware Robust Adversarial Training
- Turn Fake into Real: Adversarial Head Turn Attacks Against Deepfake Detection
- CARNet: Collaborative Adversarial Resilience for Robust Underwater Image Enhancement and Perception
- M2HGCL: Multi-Scale Meta-Path Integrated Heterogeneous Graph Contrastive Learning
- Enhancing Infrared Small Target Detection Robustness with Bi-Level Adversarial Framework
- CoTDet: Affordance Knowledge Prompting for Task Driven Object Detection
- Face Clustering for Connection Discovery from Event Images
- Stabilize to Act: Learning to Coordinate for Bimanual Manipulation
- MILA: Memory-Based Instance-Level Adaptation for Cross-Domain Object Detection
- Chinese Text Recognition with A Pre-Trained CLIP-Like Model Through Image-IDS Aligning
- Tropical Geometric Tools for Machine Learning: the TML package
- Orientation-Independent Chinese Text Recognition in Scene Images
- UnsMOT: Unified Framework for Unsupervised Multi-Object Tracking with Geometric Topology Guidance
- Robust Adversarial Defense by Tensor Factorization
- Federated Few-shot Learning for Cough Classification with Edge Devices
- Muti-Stage Hierarchical Food Classification
- Towards Efficient Modeling and Inference in Multi-Dimensional Gaussian Process State-Space Models
- Spatial and Visual Perspective-Taking via View Rotation and Relation Reasoning for Embodied Reference Understanding
- Channel Attention Separable Convolution Network for Skin Lesion Segmentation
- Business Process Text Sketch Automation Generation Using Large Language Model
- Multidomain transformer-based deep learning for early detection of network intrusion
- Separable Hamiltonian Neural Networks
- MQENet: A Mesh Quality Evaluation Neural Network Based on Dynamic Graph Attention
- AB2CD: AI for Building Climate Damage Classification and Detection
- Semi-supervised 3D Video Information Retrieval with Deep Neural Network and Bi-directional Dynamic-time Warping Algorithm
- Integration of Vision-based Object Detection and Grasping for Articulated Manipulator in Lunar Conditions
- Efficient Curriculum based Continual Learning with Informative Subset Selection for Remote Sensing Scene Classification
- Distribution learning via neural differential equations: a nonparametric statistical perspective