Papers
Wed 13 Dec 2023
263 papers
- DiffuseRAW: End-to-End Generative RAW Image Processing for Low-Light ImagesDiffusion models → Inverse problems and image restoration
- Fast Sampling Through The Reuse Of Attention Maps In Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- Assessing GPT4-V on Structured Reasoning TasksLLM reasoning → Multimodal reasoning
- SpeedUpNet: A Plug-and-Play Adapter Network for Accelerating Text-to-Image Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- Diffusion-based Blind Text Image Super-ResolutionDiffusion models → Inverse problems and image restoration
- The Lottery Ticket Hypothesis in Denoising: Towards Semantic-Driven InitializationDiffusion models → Image generation, text-to-image and editing
- Efficient-NeRF2NeRF: Streamlining Text-Driven 3D Editing with Multiview Correspondence-Enhanced Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
- EVP: Enhanced Visual Perception using Inverse Multi-Attentive Feature Refinement and Regularized Image-Text AlignmentDiffusion models → Image generation, text-to-image and editing
- World Models via Policy-Guided Trajectory DiffusionWorld models → Latent dynamics models and model-based RL +1
- Score-based diffusion priors for multi-target detectionDiffusion models → Inverse problems and image restoration
- PerMod: Perceptually Grounded Voice Modification with Latent Diffusion ModelsDiffusion models → Audio, speech and music
- See, Say, and Segment: Teaching LMMs to Overcome False PremisesMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Distributional Preference Learning: Understanding and Accounting for Hidden Context in RLHFLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Efficient Toxic Content Detection by Bootstrapping and Distilling Large Language ModelsSynthetic data and self-improvement for LLMs → Safety of self-evolving systems
- PhenDiff: Revealing Subtle Phenotypes with Diffusion Models in Real ImagesDiffusion models → Medical imaging and segmentation
- Black-box Membership Inference Attacks against Fine-tuned Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects +1
- SPD-DDPM: Denoising Diffusion Probabilistic Models in the Symmetric Positive Definite SpaceDiffusion models → Diffusion foundations and sampling
- Image is All You Need to Empower Large-scale Diffusion Models for In-Domain GenerationDiffusion models → Diffusion foundations and sampling
- ρ-Diffusion: A diffusion-based density estimation framework for computational physicsDiffusion models → Diffusion foundations and sampling
- Clockwork Diffusion: Efficient Generation With Model-Step DistillationDiffusion models → Diffusion foundations and sampling
- Training of Neural Networks with Uncertain Data: A Mixture of Experts ApproachMixture-of-experts → MoE theory and gating functions
- Compositional Inversion for Stable Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- ClusterDDPM: An EM clustering framework with Denoising Diffusion Probabilistic ModelsDiffusion models → Diffusion foundations and sampling
- AdapEdit: Spatio-Temporal Guided Adaptive Editing Algorithm for Text-Based Continuity-Sensitive Image EditingDiffusion models → Image generation, text-to-image and editing
- SwitchHead: Accelerating Transformers with Mixture-of-Experts AttentionMixture-of-experts → Expert routing strategies
- Time Series Diffusion Method: A Denoising Diffusion Probabilistic Model for Vibration Signal GenerationDiffusion models → Flow matching, time series and science
- LMD: Faster Image Reconstruction with Latent Masking DiffusionDiffusion models → Diffusion foundations and sampling
- Towards Optimal Statistical WatermarkingLLM safety and security → Watermarking generated content and models
- A Survey of Text Watermarking in the Era of Large Language ModelsLLM safety and security → Watermarking generated content and models
- Modality Plug-and-Play: Elastic Modality Adaptation in Multimodal LLMs for Embodied AILLM reasoning → Spatial and embodied reasoning +1
- Causality Analysis for Evaluating the Security of Large Language ModelsLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- SimAC: A Simple Anti-Customization Method for Protecting Face Privacy against Text-to-Image Synthesis of Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects
- Noise in the reverse process improves the approximation capabilities of diffusion modelsDiffusion models → Diffusion foundations and sampling
- Large Language Model Enhanced Multi-Agent Systems for 6G CommunicationsLLM agents and tool use → Agentic AI for wireless networks
- Stable Rivers: A Case Study in the Application of Text-to-Image Generative Models for Earth SciencesDiffusion models → Image generation, text-to-image and editing
- Denoising diffusion-based synthetic generation of three-dimensional (3D) anisotropic microstructures from two-dimensional (2D) micrographsDiffusion models → Flow matching, time series and science
- Artificial Intelligence for Digital and Computational Pathology
- Generalizable Sleep Staging via Multi-Level Domain Alignment
- DualTeacher: Bridging Coexistence of Unlabelled Classes for Semi-supervised Incremental Object Detection
- Unsupervised Graph-based Learning Method for Sub-band Allocation in 6G Subnetworks
- Graph Neural Network-Based Bandwidth Allocation for Secure Wireless Communications
- A Simulated Annealing-Based Multiobjective Optimization Algorithm for Minimum Weight Minimum Connected Dominating Set Problem
- ABiMed: An intelligent and visual clinical decision support system for medication reviews and polypharmacy management
- Synocene, Beyond the Anthropocene: De-Anthropocentralising Human-Nature-AI Interaction
- ToViLaG: Your Visual-Language Generative Model is Also An Evildoer
- Assessing SATNet's Ability to Solve the Symbol Grounding Problem
- Large Language Models are Complex Table Parsers
- Look Before You Leap: A Universal Emergent Decomposition of Retrieval Tasks in Language Models
- Advancements in Content-Based Image Retrieval: A Comprehensive Survey of Relevance Feedback Techniques
- On Robustness to Missing Video for Audiovisual Speech Recognition
- Revisiting the Entropy Semiring for Neural Speech Recognition
- A Kronecker product accelerated efficient sparse Gaussian Process (E-SGP) for flow emulation
- N-Gram Unsupervised Compoundation and Feature Injection for Better Symbolic Music Understanding
- Defenses in Adversarial Machine Learning: A Survey
- SEEAvatar: Photorealistic Text-to-3D Avatar Generation with Constrained Geometry and Appearance
- Read Between the Layers: Leveraging Multi-Layer Representations for Rehearsal-Free Continual Learning with Pre-Trained Models
- SceneWiz3D: Towards Text-guided 3D Scene Composition
- ERASE: Error-Resilient Representation Learning on Graphs for Label Noise Tolerance
- PhasePerturbation: Speech Data Augmentation via Phase Perturbation for Automatic Speech Recognition
- NViST: In the Wild New View Synthesis from a Single Image with Transformers
- ConFormer: A Novel Collection of Deep Learning Models to Assist Cardiologists in the Assessment of Cardiac Function
- Learning adaptive planning representations with natural language guidance
- Fair Active Learning in Low-Data Regimes
- Leveraging Driver Field-of-View for Multimodal Ego-Trajectory Prediction
- KDAS: Knowledge Distillation via Attention Supervision Framework for Polyp Segmentation
- Harmonics of Learning: Universal Fourier Features Emerge in Invariant Networks
- Contractive error feedback for gradient compression
- Object-Centric Conformance Alignments with Synchronization (Extended Version)
- Markov Decision Processes with Noisy State Observation
- Occupancy Detection Based on Electricity Consumption
- Cooperative Learning for Cost-Adaptive Inference
- Revisiting the Last-Iterate Convergence of Stochastic Gradient Methods
- auto-sktime: Automated Time Series Forecasting
- A FUNQUE Approach to the Quality Assessment of Compressed HDR Videos
- Revisiting Recommendation Loss Functions through Contrastive Learning (Technical Report)
- Reconciling Shared versus Context-Specific Information in a Neural Network Model of Latent Causes
- (Debiased) Contrastive Learning Loss for Recommendation (Technical Report)
- Simplicial Representation Learning with Neural k-Forms
- TAM-VT: Transformation-Aware Multi-scale Video Transformer for Segmentation and Tracking
- The Relative Value of Prediction in Algorithmic Decision Making
- Beyond Accuracy: Automated De-Identification of Large Real-World Clinical Text Datasets
- Deep learning-based estimation of time-dependent parameters in Markov models with application to nonlinear regression and SDEs
- Connectivity Oracles for Predictable Vertex Failures
- A PnP Algorithm for Two-Dimensional Pose Estimation
- Vision Transformer-Based Deep Learning for Histologic Classification of Endometrial Cancer
- AutoNumerics-Zero: Automated Discovery of State-of-the-Art Mathematical Functions
- Best practices for machine learning in antibody discovery and development
- On Diagnostics for Understanding Agent Training Behaviour in Cooperative MARL
- Culturally Responsive Artificial Intelligence -- Problems, Challenges and Solutions
- Efficiently Quantifying Individual Agent Importance in Cooperative MARL
- How much can change in a year? Revisiting Evaluation in Multi-Agent Reinforcement Learning
- Space-Time Approximation with Shallow Neural Networks in Fourier Lebesgue spaces
- FaceTalk: Audio-Driven Motion Diffusion for Neural Parametric Head Models
- Automatic Bug Detection in Games using LSTM Networks
- EmbAu: A Novel Technique to Embed Audio Data Using Shuffled Frog Leaping Algorithm
- Privacy Constrained Fairness Estimation for Decision Trees
- Universal approximation property of Banach space-valued random feature models including random neural networks
- Explainable AI in Grassland Monitoring: Enhancing Model Performance and Domain Adaptability
- Earthfarseer: Versatile Spatio-Temporal Dynamical Systems Modeling in One Model
- LDM2: A Large Decision Model Imitating Human Cognition with Dynamic Memory Enhancement
All 263
- Balanced and Deterministic Weight-sharing Helps Network Performance
- Beyond English: Evaluating LLMs for Arabic Grammatical Error Correction
- Principled Weight Initialization for Hypernetworks
- Accelerating Meta-Learning by Sharing Gradients
- Personalized Decision Supports based on Theory of Mind Modeling and Explainable Reinforcement Learning
- SAM-guided Graph Cut for 3D Instance Segmentation
- PTT: Point-Trajectory Transformer for Efficient Temporal 3D Object Detection
- The Effective Horizon Explains Deep RL Performance in Stochastic Environments
- ViLA: Efficient Video-Language Alignment for Video Question Answering
- An Invitation to Deep Reinforcement Learning
- View-Dependent Octree-based Mesh Extraction in Unbounded Scenes for Procedural Synthetic Data
- Distributed Inference and Fine-tuning of Large Language Models Over The Internet
- FoundationPose: Unified 6D Pose Estimation and Tracking of Novel Objects
- Enhancing CT Image synthesis from multi-modal MRI data based on a multi-task neural network framework
- Global Latent Neural Rendering
- LD-SDM: Language-Driven Hierarchical Species Distribution Modeling
- PnPNet: Pull-and-Push Networks for Volumetric Segmentation with Boundary Confusion
- Prompt Engineering-assisted Malware Dynamic Analysis Using GPT-4
- 3DReact: Geometric deep learning for chemical reactions
- Conceptualizing Suicidal Behavior: Utilizing Explanations of Predicted Outcomes to Analyze Longitudinal Social Media Data
- Venn: Resource Management for Collaborative Learning Jobs
- Inferring Atmospheric Properties of Exoplanets with Flow Matching and Neural Importance Sampling
- VQ-HPS: Human Pose and Shape Estimation in a Vector-Quantized Latent Space
- Hybrid Sample Synthesis-based Debiasing of Classifier in Limited Data Setting
- On the verification of Embeddings using Hybrid Markov Logic
- Prompting LLMs with content plans to enhance the summarization of scientific articles
- High-throughput Biomedical Relation Extraction for Semi-Structured Web Articles Empowered by Large Language Models
- Efficient Multi-Object Pose Estimation using Multi-Resolution Deformable Attention and Query Aggregation
- TABSurfer: a Hybrid Deep Learning Architecture for Subcortical Segmentation
- Lifted RDT based capacity analysis of the 1-hidden layer treelike sign perceptrons neural networks
- A Compact and Semantic Latent Space for Disentangled and Controllable Image Editing
- OCTDL: Optical Coherence Tomography Dataset for Image-Based Deep Learning Methods
- A Survey of Generative AI for Intelligent Transportation Systems: Road Transportation Perspective
- Capacity of the treelike sign perceptrons neural networks with one hidden layer -- RDT based upper bounds
- CenterGrasp: Object-Aware Implicit Representation Learning for Simultaneous Shape Reconstruction and 6-DoF Grasp Estimation
- Beyond the Label Itself: Latent Labels Enhance Semi-supervised Point Cloud Panoptic Segmentation
- Partial Symmetry Detection for 3D Geometry using Contrastive Learning with Geodesic Point Cloud Patches
- Leveraging neural control variates for enhanced precision in lattice field theory
- Differentially Private Gradient Flow based on the Sliced Wasserstein Distance
- GLOP: Learning Global Partition and Local Construction for Solving Large-scale Routing Problems in Real-time
- Patch-wise Graph Contrastive Learning for Image Translation
- Curriculum-Enhanced Residual Soft An-Isotropic Normalization for Over-smoothness in Deep GNNs
- EventAid: Benchmarking Event-aided Image/Video Enhancement Algorithms with Real-captured Hybrid Dataset
- Accelerated Event-Based Feature Detection and Compression for Surveillance Video Systems
- LAMM: Label Alignment for Multi-Modal Prompt Learning
- Towards Model-Based Data Acquisition for Subjective Multi-Task NLP Problems
- SVInvNet: A Densely Connected Encoder-Decoder Architecture for Seismic Velocity Inversion
- Universal Adversarial Framework to Improve Adversarial Robustness for Diabetic Retinopathy Detection
- PAD: Self-Supervised Pre-Training with Patchwise-Scale Adapter for Infrared Images
- Advanced Image Segmentation Techniques for Neural Activity Detection via C-fos Immediate Early Gene Expression
- ASC: Adaptive Scale Feature Map Compression for Deep Neural Network
- Double Machine Learning for Static Panel Models with Fixed Effects
- Chat-Scene: Bridging 3D Scene and Large Language Models with Object Identifiers
- CIDR: A Cooperative Integrated Dynamic Refining Method for Minimal Feature Removal Problem
- Active learning with biased non-response to label requests
- High-accuracy Vision-Based Attitude Estimation System for Air-Bearing Spacecraft Simulators
- Efficient Representation of the Activation Space in Deep Neural Networks
- ProNeRF: Learning Efficient Projection-Aware Ray Sampling for Fine-Grained Implicit Neural Radiance Fields
- A New Perspective On Denoising Based On Optimal Transport
- Ultra Low Complexity Deep Learning Based Noise Suppression
- Neural Radiance Fields for Transparent Object Using Visual Hull
- Towards Better Morphed Face Images without Ghosting Artifacts
- Causal Optimal Transport of Abstractions
- Machine Learning for the Multi-Dimensional Bin Packing Problem: Literature Review and Empirical Evaluation
- Adversarial Socialbots Modeling Based on Structural Information Principles
- An Incentive Mechanism for Federated Learning Based on Multiple Resource Exchange
- 3DGEN: A GAN-based approach for generating novel 3D models from image data
- A hybrid analysis of LBSN data to early detect anomalies in crowd dynamics
- A Novel Energy based Model Mechanism for Multi-modal Aspect-Based Sentiment Analysis
- Extending Whisper with prompt tuning to target-speaker ASR
- Fine-Grained Image-Text Alignment in Medical Imaging Enables Explainable Cyclic Image-Report Generation
- TERM Model: Tensor Ring Mixture Model for Density Estimation
- PySCIPOpt-ML: Embedding Trained Machine Learning Models into Mixed-Integer Programs
- Novel View Synthesis with View-Dependent Effects from a Single Image
- A Novel Metric for Measuring Data Quality in Classification Applications (extended version)
- Human-in-the-loop Fairness: Integrating Stakeholder Feedback to Incorporate Fairness Perspectives in Responsible AI
- Estimation of Concept Explanations Should be Uncertainty Aware
- C-BEV: Contrastive Bird's Eye View Training for Cross-View Image Retrieval and 3-DoF Pose Estimation
- Combinatorial Stochastic-Greedy Bandit
- Knowledge-Aware Artifact Image Synthesis with LLM-Enhanced Prompting and Multi-Source Supervision
- Breaking the Silence: the Threats of Using LLMs in Software Engineering
- Semantic Complete Scene Forecasting from a 4D Dynamic Point Cloud Sequence
- Kimad: Adaptive Gradient Compression with Bandwidth Awareness
- Explainable Trajectory Representation through Dictionary Learning
- CoRTEx: Contrastive Learning for Representing Terms via Explanations with Applications on Constructing Biomedical Knowledge Graphs
- Individualized Deepfake Detection Exploiting Traces Due to Double Neural-Network Operations
- Beyond Top-Class Agreement: Using Divergences to Forecast Performance under Distribution Shift
- Helping Language Models Learn More: Multi-dimensional Task Prompt for Few-shot Tuning
- Mono3DVG: 3D Visual Grounding in Monocular Images
- Improving search relevance of Azure Cognitive Search by Bayesian optimization
- Generalized Deepfakes Detection with Reconstructed-Blended Images and Multi-scale Feature Reconstruction Network
- Secure Deep Reinforcement Learning for Dynamic Resource Allocation in Wireless MEC Networks
- uSF: Learning Neural Semantic Field with Uncertainty
- EZ-CLIP: Efficient Zeroshot Video Action Recognition
- Semi-Supervised Class-Agnostic Motion Prediction with Pseudo Label Regeneration and BEVMix
- Learning in Zero-Sum Markov Games: Relaxing Strong Reachability and Mixing Time Assumptions
- Unveiling Parts Beyond Objects:Towards Finer-Granularity Referring Expression Segmentation
- Instance-aware Multi-Camera 3D Object Detection with Structural Priors Mining and Self-Boosting Learning
- A Unified View on Forgetting and Strong Equivalence Notions in Answer Set Programming
- Accelerating the Global Aggregation of Local Explanations
- Multi-perspective Feedback-attention Coupling Model for Continuous-time Dynamic Graphs
- SLJP: Semantic Extraction based Legal Judgment Prediction
- Modeling non-genetic information dynamics in cells using reservoir computing
- Challenges of YOLO Series for Object Detection in Extremely Heavy Rain: CALRA Simulator based Synthetic Evaluation Dataset
- Divide and Conquer: Hybrid Pre-training for Person Search
- ASLseg: Adapting SAM in the Loop for Semi-supervised Liver Tumor Segmentation
- A multi-sourced data and agent-based approach for complementing Time Use Surveys in the context of residential human activity and load curve simulation
- Pneumonia Detection on chest X-ray images Using Ensemble of Deep Convolutional Neural Networks
- Three-Filters-to-Normal+: Revisiting Discontinuity Discrimination in Depth-to-Normal Translation
- Robust Few-Shot Named Entity Recognition with Boundary Discrimination and Correlation Purification
- Erasing Self-Supervised Learning Backdoor by Cluster Activation Masking
- Enhancing Robotic Navigation: An Evaluation of Single and Multi-Objective Reinforcement Learning Strategies
- Meta-learning to Calibrate Gaussian Processes with Deep Kernels for Regression Uncertainty Estimation
- Semantic-aware Data Augmentation for Text-to-image Synthesis
- CBQ: Cross-Block Quantization for Large Language Models
- Linear Combination of Exponential Moving Averages for Wireless Channel Prediction
- ReFusion: Learning Image Fusion from Reconstruction with Learnable Loss via Meta-Learning
- BOTH2Hands: Inferring 3D Hands from Both Text Prompts and Body Dynamics
- Comparing YOLOv8 and Mask R-CNN for instance segmentation in complex orchard environments
- Toward Real World Stereo Image Super-Resolution via Hybrid Degradation Model and Discriminator for Implied Stereo Image Information
- A Novel Image Classification Framework Based on Variational Quantum Algorithms
- Levenshtein Distance Embedding with Poisson Regression for DNA Storage
- Robust and Performance Incentivizing Algorithms for Multi-Armed Bandits with Strategic Agents
- Bayesian inversion of GPR waveforms for sub-surface material characterization: an uncertainty-aware retrieval of soil moisture and overlaying biomass properties
- Polar-Doc: One-Stage Document Dewarping with Multi-Scope Constraints under Polar Representation
- Memory-Efficient Reversible Spiking Neural Networks
- DrivingGaussian: Composite Gaussian Splatting for Surrounding Dynamic Autonomous Driving Scenes
- On Designing Multi-UAV aided Wireless Powered Dynamic Communication via Hierarchical Deep Reinforcement Learning
- Projective Parallel Single-Pixel Imaging: 3D Structured Light Scanning Under Global Illumination
- PromptBench: A Unified Library for Evaluation of Large Language Models
- Plant Disease Recognition Datasets in the Age of Deep Learning: Challenges and Opportunities
- Artificial Intelligence Studies in Cartography: A Review and Synthesis of Methods, Applications, and Ethics
- Morphological Profiling for Drug Discovery in the Era of Deep Learning
- Learn or Recall? Revisiting Incremental Learning with Pre-trained Language Models
- RAT: Reinforcement-Learning-Driven and Adaptive Testing for Vulnerability Discovery in Web Application Firewalls
- Mutual-Learning Knowledge Distillation for Nighttime UAV Tracking
- CoIE: Chain-of-Instruct Editing for Multi-Attribute Face Manipulation
- Enhance Sketch Recognition's Explainability via Semantic Component-Level Parsing
- MLNet: Mutual Learning Network with Neighborhood Invariance for Universal Domain Adaptation
- Graph vs. Sequence: An Empirical Study on Knowledge Forms for Knowledge-Grounded Dialogue
- BESTMVQA: A Benchmark Evaluation System for Medical Visual Question Answering
- GraphGuard: Detecting and Counteracting Training Data Misuse in Graph Neural Networks
- Data-Dependent Higher-Order Clique Selection for Artery-Vein Segmentation by Energy Minimization
- Fine-grained Graph Rationalization
- DTL: Disentangled Transfer Learning for Visual Recognition
- Exploring Popularity Bias in Session-based Recommendation
- Diffusion Models Enable Zero-Shot Pose Estimation for Lower-Limb Prosthetic Users
- High-Order Structure Based Middle-Feature Learning for Visible-Infrared Person Re-Identification
- Encoder-minimal and Decoder-minimal Framework for Remote Sensing Image Dehazing
- Finetuning an LLM on Contextual Knowledge of Classics for Q&A
- On the Dynamics Under the Unhinged Loss and Beyond
- Minimax-optimal estimation for sparse multi-reference alignment with collision-free signals
- Conflict Transformation and Management. From Cognitive Maps to Value Trees
- The Real Deal Behind the Artificial Appeal: Inferential Utility of Tabular Synthetic Data
- Video Dynamics Prior: An Internal Learning Approach for Robust Video Enhancements
- Abusive Span Detection for Vietnamese Narrative Texts
- A Deep Learning-Based System for Automatic Case Summarization
- Semantic Lens: Instance-Centric Semantic Alignment for Video Super-Resolution
- Prototypical Self-Explainable Models Without Re-training
- Radio Signal Classification by Adversarially Robust Quantum Machine Learning
- Native Language Identification with Large Language Models
- A Foundational Multimodal Vision Language AI Assistant for Human Pathology
- On a Foundation Model for Operating Systems