Papers
Thu 31 Aug 2023
230 papers
- BuilDiff: 3D Building Shape Generation using Single-Image Conditional Point Cloud Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
- TouchStone: Evaluating Vision-Language Models by Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Diffusion Models for Interferometric Satellite Aperture RadarDiffusion models → Inverse problems and image restoration
- Ladder-of-Thought: Using Knowledge as Steps to Elevate Stance DetectionLLM reasoning → Causal reasoning in LLMs
- Unsupervised CT Metal Artifact Reduction by Plugging Diffusion Priors in Dual DomainsDiffusion models → Medical imaging and segmentation
- Socratis: Are large multimodal models emotionally aware?Multimodal LLMs / vision-language models → Multimodal emotion understanding
- ViLTA: Enhancing Vision-Language Pre-training through Textual AugmentationMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Generate Your Own Scotland: Satellite Image Generation Conditioned on MapsDiffusion models → Inverse problems and image restoration
- MFR-Net: Multi-faceted Responsive Listening Head Generation via Denoising Diffusion ModelDiffusion models → Audio, speech and music
- Any-Size-Diffusion: Toward Efficient Text-Driven Synthesis for Any-Size HD ImagesDiffusion models → Image generation, text-to-image and editing
- LightGrad: Lightweight Diffusion Probabilistic Model for Text-to-SpeechDiffusion models → Audio, speech and music
- MoMA: Momentum Contrastive Learning with Multi-head Attention-based Knowledge Distillation for Histopathology Image AnalysisKnowledge distillation → Distillation for medical imaging
- Zero-Shot Conditioning of Score-Based Diffusion Models by Neuro-Symbolic ConstraintsDiffusion models → Diffusion foundations and sampling
- MVDream: Multi-view Diffusion for 3D GenerationDiffusion models → 3D, point cloud and scene generation
- Recommender AI Agent: Integrating Large Language Models for Interactive RecommendationsLLM agents and tool use → Agentic recommender systems
- Expanding Frozen Vision-Language Models without Retraining: Towards Improved Robot PerceptionMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Knowledge Distillation from Non-streaming to Streaming ASR Encoder using Auxiliary Non-streaming LayerKnowledge distillation → Speech and audio distillation
- Multi-Objective Decision Transformers for Offline Reinforcement LearningOffline RL and imitation learning from data → Decision transformers and sequence modeling
- SARATHI: Efficient LLM Inference by Piggybacking Decodes with Chunked PrefillsEfficient LLM inference and serving → Serving systems and request scheduling
- Privacy Preserving Machine Learning for Behavioral Authentication Systems
- Establishing trust in automated reasoning
- Energy Concerns with HPC Systems and Applications
- Blind Source Separation of Single-Channel Mixtures via Multi-Encoder Autoencoders
- Bringing PDEs to JAX with forward and reverse modes automatic differentiation
- Masked Transformer for Electrocardiogram Classification
- Can humans help BERT gain "confidence"?
- Companion Animal Disease Diagnostics based on Literal-aware Medical Knowledge Graph Representation Learning
- The Use of Synthetic Data to Train AI Models: Opportunities and Risks for Sustainable Development
- GPT has become financially literate: Insights from financial literacy tests of GPT and a preliminary test of how people use it as a source of advice
- Improving Small Footprint Few-shot Keyword Spotting with Supervision on Auxiliary Data
- Boosting AND/OR-Based Computational Protein Design: Dynamic Heuristics and Generalizable UFO
- Typing on Any Surface: A Deep Learning-based Method for Real-Time Keystroke Detection in Augmented Reality
- Detecting Evidence of Organization in groups by Trajectories
- RepCodec: A Speech Representation Codec for Speech Tokenization
- Pose-Graph Attentional Graph Neural Network for Lidar Place Recognition
- Information Fusion for Assistance Systems in Production Assessment
- LLM in the Shell: Generative Honeypots
- TurboGP: A flexible and advanced python based GP library
- Optimized Deep Feature Selection for Pneumonia Detection: A Novel RegNet and XOR-Based PSO Approach
- Multi Agent DeepRL based Joint Power and Subchannel Allocation in IAB networks
- Self-supervised Semantic Segmentation: Consistency over Transformation
- Improving vision-inspired keyword spotting using dynamic module skipping in streaming conformer encoder
- Fuzzy Approach for Audio-Video Emotion Recognition in Computer Games for Children
- Predicting Financial Market Trends using Time Series Analysis and Natural Language Processing
- Construction Grammar and Artificial Intelligence
- Distraction-free Embeddings for Robust VQA
- FTA: Stealthy and Adaptive Backdoor Attack with Flexible Triggers on Federated Learning
- QS-TTS: Towards Semi-Supervised Text-to-Speech Synthesis via Vector-Quantized Self-Supervised Speech Representation Learning
- Pure Differential Privacy for Functional Summaries with a Laplace-like Process
- Segmentacc~ao e contagem de troncos de madeira utilizando deep learning e processamento de imagens
- Beyond Self-Attention: Deformable Large Kernel Attention for Medical Image Segmentation
- Laplacian-Former: Overcoming the Limitations of Vision Transformers in Local Texture Detection
- Unsupervised evaluation of GAN sample quality: Introducing the TTJac Score
- AttrSeg: Open-Vocabulary Semantic Segmentation via Attribute Decomposition-Aggregation
- Deep Semi-Supervised Anomaly Detection for Finding Fraud in the Futures Market
- Large language models in medicine: the potentials and pitfalls
- RePo: Resilient Model-Based Reinforcement Learning by Regularizing Posterior Predictability
- Few-shot Diagnosis of Chest x-rays Using an Ensemble of Random Discriminative Subspaces
- On the Implicit Bias of Adam
- YaRN: Efficient Context Window Extension of Large Language Models
- SoDaCam: Software-defined Cameras via Single-Photon Imaging
- Ethical Framework for Harnessing the Power of AI in Healthcare and Beyond
- STint: Self-supervised Temporal Interpolation for Geospatial Data
- Bellybutton: Accessible and Customizable Deep-Learning Image Segmentation
- FACET: Fairness in Computer Vision Evaluation Benchmark
- Audio-Driven Dubbing for User Generated Contents via Style-Aware Semi-Parametric Synthesis
- Exploring the Potential of Large Language Models to Generate Formative Programming Feedback
- Vision-Based Cranberry Crop Ripening Assessment
- A Sequential Framework for Detection and Classification of Abnormal Teeth in Panoramic X-rays
- Efficient Multi-View Graph Clustering with Local and Global Structure Preservation
- Continual Learning From a Stream of APIs
- An Energy-Aware Approach to Design Self-Adaptive AI-based Applications on the Edge
- Unsupervised discovery of Interpretable Visual Concepts
- Physics-Based Trajectory Design for Cellular-Connected UAV in Rainy Environments Based on Deep Reinforcement Learning
- Karhunen-Lo`eve Data Imputation in High Contrast Imaging
- PointLLM: Empowering Large Language Models to Understand Point Clouds
- StyleInV: A Temporal Style Modulated Inversion Network for Unconditional Video Generation
- Fine-Grained Cross-View Geo-Localization Using a Correlation-Aware Homography Estimator
- InterDiff: Generating 3D Human-Object Interactions with Physics-Informed Diffusion
- A Note on Randomized Kaczmarz Algorithm for Solving Doubly-Noisy Linear Systems
- Learning to Taste: A Multimodal Wine Dataset
- Transformers as Support Vector Machines
- PointOcc: Cylindrical Tri-Perspective View for Point-based 3D Semantic Occupancy Prediction
- EMDB: The Electromagnetic Database of Global 3D Human Pose and Shape in the Wild
- Language-Conditioned Path Planning
- ReZero: Region-customizable Sound Extraction
- GNFactor: Multi-Task Real Robot Learning with Generalizable Neural Feature Fields
- Federated Learning in UAV-Enhanced Networks: Joint Coverage and Convergence Time Optimization
- Prediction of Diblock Copolymer Morphology via Machine Learning
- The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language Variants
- Text2Scene: Text-driven Indoor Scene Stylization with Part-aware Details
- Adaptation Speed Analysis for Fairness-aware Causal Models
- SportsSloMo: A New Benchmark and Baselines for Human-centric Video Frame Interpolation
- Holistic Processing of Colour Images Using Novel Quaternion-Valued Wavelets on the Plane
- The Gender-GAP Pipeline: A Gender-Aware Polyglot Pipeline for Gender Characterisation in 55 Languages
- Learning Driver Models for Automated Vehicles via Knowledge Sharing and Personalization
- Self-pruning Graph Neural Network for Predicting Inflammatory Disease Activity in Multiple Sclerosis from Brain MR Images
- Information Theoretically Optimal Sample Complexity of Learning Dynamical Directed Acyclic Graphs
- Majorization-Minimization for sparse SVMs
- IoMT-Blockchain based Secured Remote Patient Monitoring Framework for Neuro-Stimulation Device
All 230
- Accurate Computation of Quantum Excited States with Neural Networks
- Towards Improving the Expressiveness of Singing Voice Synthesis with BERT Derived Semantic Information
- FedDD: Toward Communication-efficient Federated Learning with Differential Parameter Dropout
- Coarse-to-Fine Amodal Segmentation with Shape Prior
- Can Programming Languages Boost Each Other via Instruction Tuning?
- Latent Variable Multi-output Gaussian Processes for Hierarchical Datasets
- BTSeg: Barlow Twins Regularization for Domain Adaptation in Semantic Segmentation
- Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Network
- Multiscale Residual Learning of Graph Convolutional Sequence Chunks for Human Motion Prediction
- Rank Collapse Causes Over-Smoothing and Over-Correlation in Graph Neural Networks
- Simple LLM Prompting is State-of-the-Art for Robust and Multilingual Dialogue Evaluation
- Towards Multilingual Automatic Dialogue Evaluation
- Joint Semantic-Native Communication and Inference via Minimal Simplicial Structures
- Agent Teaming Situation Awareness (ATSA): A Situation Awareness Framework for Human-AI Teaming
- StratMed: Relevance Stratification between Biomedical Entities for Sparsity on Medication Recommendation
- Ref-Diff: Zero-shot Referring Image Segmentation with Generative Models
- Efficacy of Neural Prediction-Based Zero-Shot NAS
- Enhancing PLM Performance on Labour Market Tasks via Instruction-based Finetuning and Prompt-tuning with Rules
- Towards Low-Barrier Cybersecurity Research and Education for Industrial Control Systems
- Constructing Indoor Region-based Radio Map without Location Labels
- Towards High-Fidelity Text-Guided 3D Face Generation and Manipulation Using only Images
- Training Neural Networks Using Reproducing Kernel Space Interpolation and Model Reduction
- Context Aware Query Rewriting for Text Rankers using LLM
- Moreau Envelope ADMM for Decentralized Weakly Convex Optimization
- Parsing is All You Need for Accurate Gait Recognition in the Wild
- SFUSNet: A Spatial-Frequency domain-based Multi-branch Network for diagnosis of Cervical Lymph Node Lesions in Ultrasound Images
- Robust Networked Federated Learning for Localization
- Post-Deployment Adaptation with Access to Source Data via Federated Learning and Source-Target Remote Gradient Alignment
- Proof of Deep Learning: Approaches, Challenges, and Future Directions
- Terrain Diffusion Network: Climatic-Aware Terrain Generation with Geological Sketch Guidance
- Robust Representation Learning for Unreliable Partial Label Learning
- Towards Vehicle-to-everything Autonomous Driving: A Survey on Collaborative Perception
- Exploring Cross-Cultural Differences in English Hate Speech Annotations: From Dataset Construction to Analysis
- Fault Injection and Safe-Error Attack for Extraction of Embedded Neural Network Models
- SpeechTokenizer: Unified Speech Tokenizer for Speech Large Language Models
- Using Large Language Models to Automate Category and Trend Analysis of Scientific Articles: An Application in Ophthalmology
- DictaBERT: A State-of-the-Art BERT Suite for Modern Hebrew
- Everyone Can Attack: Repurpose Lossy Compression as a Natural Backdoor Attack
- DiffusionPoser: Real-time Human Motion Reconstruction From Arbitrary Sparse Sensors Using Autoregressive Diffusion
- One Model Many Scores: Using Multiverse Analysis to Prevent Fairness Hacking and Evaluate the Influence of Model Design Decisions
- Branches of a Tree: Taking Derivatives of Programs with Discrete and Branching Randomness in High Energy Physics
- Dynamic nsNet2: Efficient Deep Noise Suppression with Early Exiting
- Sparse Decentralized Federated Learning
- Fault Injection on Embedded Neural Networks: Impact of a Single Instruction Skip
- What can we learn from quantum convolutional neural networks?
- Autoencoder-based Online Data Quality Monitoring for the CMS Electromagnetic Calorimeter
- SoccerNet 2023 Tracking Challenge -- 3rd place MOT4MOT Team Technical Report
- Learning with Multi-modal Gradient Attention for Explainable Composed Image Retrieval
- Learning Channel Importance for High Content Imaging with Interpretable Deep Input Channel Mixing
- Semi-Supervised SAR ATR Framework with Transductive Auxiliary Segmentation
- 3D-STMN: Dependency-Driven Superpoint-Text Matching Network for End-to-End 3D Referring Expression Segmentation
- Developing a Scalable Benchmark for Assessing Large Language Models in Knowledge Graph Engineering
- High Accuracy Location Information Extraction from Social Network Texts Using Natural Language Processing
- Neural Gradient Regularizer
- Detecting Out-of-Context Image-Caption Pairs in News: A Counter-Intuitive Method
- Towards Long-Tailed Recognition for Graph Classification via Collaborative Experts
- Using machine learning to understand causal relationships between urban form and travel CO2 emissions across continents
- Towards Optimal Patch Size in Vision Transformers for Tumor Segmentation
- The Quest of Finding the Antidote to Sparse Double Descent
- Towards Spontaneous Style Modeling with Semi-supervised Pre-training for Conversational Text-to-Speech Synthesis
- Interpreting Sentiment Composition with Latent Semantic Tree
- Development and validation of an interpretable machine learning-based calculator for predicting 5-year weight trajectories after bariatric surgery: a multinational retrospective cohort SOPHIA study
- Unsupervised Text Style Transfer with Deep Generative Models
- Improving Mandarin Prosodic Structure Prediction with Multi-level Contextual Information
- GHuNeRF: Generalizable Human NeRF from a Monocular Video
- Dual-Decoder Consistency via Pseudo-Labels Guided Data Augmentation for Semi-Supervised Medical Image Segmentation
- CL-MAE: Curriculum-Learned Masked Autoencoders
- Document Layout Analysis on BaDLAD Dataset: A Comprehensive MViTv2 Based Approach
- MONDEO: Multistage Botnet Detection
- Shape of my heart: Cardiac models through learned signed distance functions
- ScrollNet: Dynamic Weight Importance for Continual Learning
- The Power of MEME: Adversarial Malware Creation with Model-Based Reinforcement Learning
- E3CM: Epipolar-Constrained Cascade Correspondence Matching
- Prompt-enhanced Hierarchical Transformer Elevating Cardiopulmonary Resuscitation Instruction via Temporal Action Segmentation
- Object Detection for Caries or Pit and Fissure Sealing Requirement in Children's First Permanent Molars
- Thesis Distillation: Investigating The Impact of Bias in NLP Models on Hate Speech Detection
- Forecasting Emergency Department Crowding with Advanced Machine Learning Models and Multivariable Input
- Scalable Incomplete Multi-View Clustering with Structure Alignment
- Time-Varying Quasi-Closed-Phase Analysis for Accurate Formant Tracking in Speech Signals
- On a Connection between Differential Games, Optimal Control, and Energy-based Models for Multi-Agent Interactions
- The AI Revolution: Opportunities and Challenges for the Finance Sector
- The Smart Data Extractor, a Clinician Friendly Solution to Accelerate and Improve the Data Collection During Clinical Trials
- Decoupled Local Aggregation for Point Cloud Learning
- Privacy-Preserving Medical Image Classification through Deep Learning and Matrix Decomposition
- Developing Social Robots with Empathetic Non-Verbal Cues Using Large Language Models
- SA6D: Self-Adaptive Few-Shot 6D Pose Estimator for Novel and Occluded Objects
- Unsupervised Recognition of Unknown Objects for Open-World Object Detection
- MS23D: A 3D Object Detection Method Using Multi-Scale Semantic Feature Points to Construct 3D Feature Layer
- Curvature-based Pooling within Graph Neural Networks
- Robust GAN inversion
- Individually Rational Collaborative Vehicle Routing through Give-And-Take Exchanges
- Generalised Winograd Schema and its Contextuality
- In-class Data Analysis Replications: Teaching Students while Testing Science
- Latent Painter
- Illumination Distillation Framework for Nighttime Person Re-Identification and A New Benchmark
- Test-Time Adaptation for Point Cloud Upsampling Using Meta-Learning
- Improving Out-of-Distribution Detection in Echocardiographic View Classication through Enhancing Semantic Features
- Point-TTA: Test-Time Adaptation for Point Cloud Registration Using Multitask Meta-Auxiliary Learning
- PivotNet: Vectorized Pivot Learning for End-to-end HD Map Construction
- rm SP3: Enhancing Structured Pruning via PCA Projection
- Enhancing Subtask Performance of Multi-modal Large Language Model
- Foundational Policy Acquisition via Multitask Learning for Motor Skill Generation
- Domain-adaptive Message Passing Graph Neural Network
- Link Prediction for Wikipedia Articles as a Natural Language Inference Task
- Computing excited states of molecules using normalizing flows
- Self-Sampling Meta SAM: Enhancing Few-shot Medical Image Segmentation with Meta-Learning
- MaintainoMATE: A GitHub App for Intelligent Automation of Maintenance Activities
- Sparkles: Unlocking Chats Across Multiple Images for Multimodal Instruction-Following Models
- Domain Adaptive Synapse Detection with Weak Point Annotations
- Improving Lens Flare Removal with General Purpose Pipeline and Multiple Light Sources Recovery
- BioCoder: A Benchmark for Bioinformatics Code Generation with Large Language Models
- Least Squares Maximum and Weighted Generalization-Memorization Machines
- Adversarial Finetuning with Latent Representation Constraint to Mitigate Accuracy-Robustness Tradeoff
- Listen to Minority: Encrypted Traffic Classification for Class Imbalance with Contrastive Pre-Training
- Contrastive Representation Learning Based on Multiple Node-centered Subgraphs
- AntM2C: A Large Scale Dataset For Multi-Scenario Multi-Modal CTR Prediction
- Njobvu-AI: An open-source tool for collaborative image labeling and implementation of computer vision models
- On the Equivalence between Implicit and Explicit Neural Networks: A High-dimensional Viewpoint
- Dilated convolutional neural network for detecting extreme-mass-ratio inspirals
- CktGNN: Circuit Graph Neural Network for Electronic Design Automation
- Deformation Robust Text Spotting with Geometric Prior
- Balancing between the Local and Global Structures (LGS) in Graph Embedding
- Improving the Accuracy of Transaction-Based Ponzi Detection on Ethereum
- RGB-T Tracking via Multi-Modal Mutual Prompt Learning
- BenchTemp: A General Benchmark for Evaluating Temporal Graph Neural Networks
- Separate and Locate: Rethink the Text in Text-based Visual Question Answering
- A stochastic block model for community detection in attributed networks
- 3D vision-based structural masonry damage detection
- Improving Multiple Sclerosis Lesion Segmentation Across Clinical Sites: A Federated Learning Approach with Noise-Resilient Training
- A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications