Papers
Thu 16 May 2024
248 papers
- Generative Geostatistical Modeling from Incomplete Well and Imaged Seismic Observations with Diffusion ModelsDiffusion models → Flow matching, time series and science
- Can formal argumentative reasoning enhance LLMs performances?LLM reasoning → Reasoning for agents, planning and code
- Leveraging Human Revisions for Improving Text-to-Layout ModelsLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
- Flow Score Distillation for Diverse Text-to-3D GenerationDiffusion models → 3D, point cloud and scene generation
- Simulation-Based Benchmarking of Reinforcement Learning Agents for Personalized Retail PromotionsDeep reinforcement learning methods → Adversarial robustness and RL in finance
- Agent Design Pattern Catalogue: A Collection of Architectural Patterns for Foundation Model based AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Thinking Fair and Slow: On the Efficacy of Structured Prompts for Debiasing Language ModelsLLM reasoning → Prompting and chain-of-thought reasoning
- Data Selection for Transfer UnlearningLLM safety and security → Machine unlearning
- Augmenting Lateral Thinking in Language Models with Humor and Riddle Data for the BRAINTEASER TaskLLM reasoning → Prompting and chain-of-thought reasoning
- Reinforcement learningDeep reinforcement learning methods → RL for robot navigation and UAV control
- Analogist: Out-of-the-box Visual In-Context Learning with Image Diffusion ModelLLM reasoning → Multimodal reasoning +1
- CAT3D: Create Anything in 3D with Multi-View Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
- UniRAG: Universal Retrieval Augmentation for Large Vision Language ModelsMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- Stochastic Q-learning for Large Discrete Action SpacesDeep reinforcement learning methods → RL theory and sample complexity
- Conformal Alignment: Knowing When to Trust Foundation Models with GuaranteesLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Fine-Tuning Large Vision-Language Models as Decision-Making Agents via Reinforcement LearningLLM reasoning → Multimodal reasoning +2
- FFF: Fixing Flawed Foundations in contrastive pre-training results in very strong Vision-Language modelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- When LLMs step into the 3D World: A Survey and Meta-Analysis of 3D Tasks via Multi-modal Large Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- A Systematic Evaluation of Large Language Models for Natural Language Generation TasksLLM reasoning → Reasoning benchmarks and evaluation
- PriorCLIP: Visual Prior Guided Vision-Language Model for Remote Sensing Image-Text RetrievalMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Speaker Verification in Agent-Generated ConversationsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Red Teaming Language Models for Processing Contradictory DialoguesLLM safety and security → Prompt injection and agent security
- Distilling Implicit Multimodal Knowledge into Large Language Models for Zero-Resource Dialogue GenerationKnowledge distillation → Multimodal distillation
- MarkLLM: An Open-Source Toolkit for LLM WatermarkingLLM safety and security → Watermarking generated content and models
- Optimizing Search and Rescue UAV Connectivity in Challenging Terrain through Multi Q-LearningDeep reinforcement learning methods → RL for robot navigation and UAV control
- RSDehamba: Lightweight Vision Mamba for Remote Sensing Satellite Image DehazingState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
- Frequency-Domain Refinement with Multiscale Diffusion for Super ResolutionDiffusion models → Inverse problems and image restoration
- Reward CenteringDeep reinforcement learning methods → Deep RL algorithms and representations
- Generative Design through Quality-Diversity Data Synthesis and Language ModelsSynthetic data and self-improvement for LLMs → LLM synthetic data generation
- VirtualModel: Generating Object-ID-retentive Human-object Interaction Image by Diffusion Model for E-commerce MarketingDiffusion models → 3D, point cloud and scene generation
- Adversarial Robustness for Visual Grounding of Multimodal Large Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- Whole-Song Hierarchical Generation of Symbolic Music Using Cascaded Diffusion ModelsDiffusion models → Audio, speech and music
- DiffAM: Diffusion-based Adversarial Makeup Transfer for Facial Privacy ProtectionDiffusion models → Robustness, privacy and adversarial aspects
- Generative Unlearning for Any IdentityLLM safety and security → Vision-language and text-to-image safety
- Dual3D: Efficient and Consistent Text-to-3D Generation with Dual-mode Multi-view Latent DiffusionDiffusion models → 3D, point cloud and scene generation
- IRSRMamba: Infrared Image Super-Resolution via Mamba-based Wavelet Transform Feature Modulation ModelState-space sequence models (S4, Mamba) → Hyperspectral image analysis with Mamba
- Training-Free Multi-User Generative Semantic Communications via Null-Space Diffusion SamplingDiffusion models → Diffusion for compression and wireless
- Box-Free Model Watermarks Are Prone to Black-Box Removal AttacksLLM safety and security → Watermarking generated content and models
- Enhancing Semantics in Multimodal Chain of Thought via Soft Negative SamplingLLM reasoning → Multimodal reasoning
- SEEK: Semantic Reasoning for Object Goal Navigation in Real World Inspection TasksLLM reasoning → Spatial and embodied reasoning
- Densely Distilling Cumulative Knowledge for Continual LearningKnowledge distillation → Distillation for continual learning
- A Payoff-Based Policy Gradient Method in Stochastic Games with Long-Run Average PayoffsDeep reinforcement learning methods → RL for games and combinatorial optimization
- LLM and Simulation as Bilevel Optimizers: A New Paradigm to Advance Physical Scientific DiscoveryLLM reasoning → Knowledge- and tool-augmented reasoning
- Harmonizing Generalization and Personalization in Federated Prompt LearningMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Combining RL and IL using a dynamic, performance-based modulation over learning signals and its application to local planningOffline RL and imitation learning from data → Imitation learning methods +1
- NIFTY Financial News Headlines DatasetLLM alignment / RLHF / preference optimisation → Preference alignment for recommenders and RAG
- Many Hands Make Light Work: Task-Oriented Dialogue System with Module-Based Mixture-of-ExpertsMixture-of-experts → MoE large language models
- NaviSlim: Adaptive Context-Aware Navigation and Sensing via Dynamic Slimmable Networks
- AddBiomechanics Dataset: Capturing the Physics of Human Motion at Scale
- Selfsupervised learning for pathological speech detection
- KnowledgeHub: An end-to-end Tool for Assisted Scientific Discovery
- PyTorch-IE: Fast and Reproducible Prototyping for Information Extraction
- Luganda Speech Intent Recognition for IoT Applications
- Defeaters and Eliminative Argumentation in Assurance 2.0
- SIGMA: An Open-Source Interactive System for Mixed-Reality Task Assistance Research
- Autonomous Workflow for Multimodal Fine-Grained Training Assistants Towards Mixed Reality
- Faithful Attention Explainer: Verbalizing Decisions Based on Discriminative Features
- A Robust Autoencoder Ensemble-Based Approach for Anomaly Detection in Text
- Crowdsourcing with Enhanced Data Quality Assurance: An Efficient Approach to Mitigate Resource Scarcity Challenges in Training Large Language Models for Healthcare
- DuetSim: Building User Simulator with Dual Large Language Models for Task-Oriented Dialogues
- EKM: An exact, polynomial-time algorithm for the K-medoids problem
- Data-Driven Revenue Management for Air Cargo
- Large Language Models for Tuning Evolution Strategies
- Transcript of GPT-4 playing a rogue AGI in a Matrix Game
- Higher-order Spatio-temporal Physics-incorporated Graph Neural Network for Multivariate Time Series Imputation
- Overcoming Catastrophic Forgetting by Exemplar Selection in Task-oriented Dialogue System
- Relative Counterfactual Contrastive Learning for Mitigating Pretrained Stance Bias in Stance Detection
- Learnable Privacy Neurons Localization in Language Models
- Manifold-based Incomplete Multi-view Clustering via Bi-Consistency Guidance
- The AI Collaborator: Bridging Human-AI Interaction in Educational and Professional Settings
- Participle-Prepended Nominals Have Lower Entropy Than Nominals Appended After the Participle
- Region-level labels in ice charts can produce pixel-level segmentation for Sea Ice types
- Exploring Public Attention in the Circular Economy through Topic Modelling with Twin Hyperparameter Optimisation
- Optimal Text-Based Time-Series Indices
- Dynamic In-context Learning with Conversational Models for Data Extraction and Materials Property Prediction
- Tell me more: Intent Fulfilment Framework for Enhancing User Experiences in Conversational XAI
- A Novel Bounding Box Regression Method for Single Object Tracking
- Simultaneous Masking, Not Prompting Optimization: A Paradigm Shift in Fine-tuning LLMs for Simultaneous Translation
- Data-driven low-dimensional model of a sedimenting flexible fiber
- A Hybrid Framework with Large Language Models for Rare Disease Phenotyping
- Beyond Traditional Single Object Tracking: A Survey
- Positional encoding is not the same as context: A study on positional encoding for sequential recommendation
- Memory-efficient Energy-adaptive Inference of Pre-Trained Models on Batteryless Embedded Systems
- Diversity-Aware Sign Language Production through a Pose Encoding Variational Autoencoder
- A Reliability Theory of Compromise Decisions for Large-Scale Stochastic Programs
- The fast committor machine: Interpretable prediction with kernels
- A note on continuous-time online learning
- Drone-type-Set: Drone types detection benchmark for drone detection and tracking
- Transport based particle methods for the Fokker-Planck-Landau equation
- Vision Transformers for End-to-End Vision-Based Quadrotor Obstacle Avoidance
- Physics-Informed Heterogeneous Graph Neural Networks for DC Blocker Placement
- A Polynomial-Time Approximation for Pairwise Fair k-Median Clustering
- Smart Routing with Precise Link Estimation: DSEE-Based Anypath Routing for Reliable Wireless Networking
- Dealing Doubt: Unveiling Threat Models in Gradient Inversion Attacks under Federated Learning, A Survey and Taxonomy
- Implementing a GRU Neural Network for Flood Prediction in Ashland City, Tennessee
- Efficient model predictive control for nonlinear systems modelled by deep neural networks
- Grounded 3D-LLM with Referent Tokens
- Adversarial Robustness Guarantees for Quantum Classifiers
- RGB Guided ToF Imaging System: A Survey of Deep Learning-based Methods
- Monitizer: Automating Design and Evaluation of Neural Network Monitors
All 248
- Learning to Predict Mutation Effects of Protein-Protein Interactions by Microenvironment-aware Hierarchical Prompt Learning
- Networking Systems for Video Anomaly Detection: A Tutorial and Survey
- AMCEN: An Attention Masking-based Contrastive Event Network for Two-stage Temporal Knowledge Graph Reasoning
- Machine Learning Driven Biomarker Selection for Medical Diagnosis
- Toon3D: Seeing Cartoons from New Perspectives
- Text-to-Vector Generation with Neural Path Representation
- TRANSIC: Sim-to-Real Policy Transfer by Learning from Online Correction
- How Far Are We From AGI: Are LLMs All We Need?
- 4D Panoptic Scene Graph Generation
- Optimal Aggregation of Prediction Intervals under Unsupervised Domain Shift
- Grounding DINO 1.5: Advance the "Edge" of Open-Set Object Detection
- HW-GPT-Bench: Hardware-Aware Architecture Benchmark for Language Models
- Societal Adaptation to Advanced AI
- On the Uniform Convergence of Subdifferentials in Stochastic Optimization and Learning
- Timeline-based Sentence Decomposition with In-Context Learning for Temporal Fact Extraction
- Quantum Vision Transformers for Quark-Gluon Classification
- Revisiting OPRO: The Limitations of Small-Scale LLMs as Optimizers
- Faces that Speak: Jointly Synthesising Talking Face and Speech from Text
- Pruning Federated Models through Loss Landscape Analysis and Client Agreement Scoring
- Sharpness-Aware Minimization in Genetic Programming
- A Tale of Two Languages: Large-Vocabulary Continuous Sign Language Recognition from Spoken Language Supervision
- Architectures and random properties of symplectic quantum circuits
- Partially Unitary Learning
- Two-Phase Dynamics of Interactions Explains the Starting Point of a DNN Learning Over-Fitted Features
- Keep It Private: Unsupervised Privatization of Online Text
- Biasing & Debiasing based Approach Towards Fair Knowledge Transfer for Equitable Skin Analysis
- PRISM: A Multi-Modal Generative Foundation Model for Slide-Level Histopathology
- A Foundation Model for Brain Lesion Segmentation with Mixture of Modality Experts
- Towards Task-Compatible Compressible Representations
- DocuMint: Docstring Generation for Python using Small Language Models
- Influencer Cartels
- Random ReLU Neural Networks as Non-Gaussian Processes
- Scalarisation-based risk concepts for robust multi-objective optimisation
- ENADPool: The Edge-Node Attention-based Differentiable Pooling for Graph Neural Networks
- Low-Rank Adaptation of Time Series Foundational Models for Out-of-Domain Modality Forecasting
- SMLP: Symbolic Machine Learning Prover (User Manual)
- Causal Effects of Trigger Words in Social Media Discussions: A Large-Scale Case Study about UK Politics on Reddit
- CPsyExam: A Chinese Benchmark for Evaluating Psychology using Examinations
- Building a Luganda Text-to-Speech Model From Crowdsourced Data
- GPT Store Mining and Analysis
- Hierarchical Attention Graph for Scientific Document Summarization in Global and Local Level
- DiverGen: Improving Instance Segmentation by Learning Wider Data Distribution with More Diverse Generative Data
- Filling Missing Values Matters for Range Image-Based Point Cloud Segmentation
- LFED: A Literary Fiction Evaluation Dataset for Large Language Models
- SpecDETR: A transformer-based hyperspectral point object detection network
- Relational DNN Verification With Cross Executional Bound Refinement
- Libra: Building Decoupled Vision System on Large Language Models
- PL-MTEB: Polish Massive Text Embedding Benchmark
- Towards Consistent and Explainable Motion Prediction using Heterogeneous Graph Attention
- Turkronicles: Diachronic Resources for the Fast Evolving Turkish Language
- Cooperative Visual-LiDAR Extrinsic Calibration Technology for Intersection Vehicle-Infrastructure: A review
- StyloAI: Distinguishing AI-Generated Content with Stylometric Analysis
- Estimating a Function and Its Derivatives Under a Smoothness Condition
- Asynchronous Federated Stochastic Optimization for Heterogeneous Objectives Under Arbitrary Delays
- Generating Coherent Sequences of Visual Illustrations for Real-World Manual Tasks
- A novel Reservoir Architecture for Periodic Time Series Prediction
- The Effect of Quantization in Federated Learning: A R'enyi Differential Privacy Perspective
- LaT-PFN: A Joint Embedding Predictive Architecture for In-context Time-series Forecasting
- Revisiting Deep Audio-Text Retrieval Through the Lens of Transportation
- An Integrated Framework for Multi-Granular Explanation of Video Summarization
- HecVL: Hierarchical Video-Language Pretraining for Zero-shot Surgical Phase Recognition
- MrRegNet: Multi-resolution Mask Guided Convolutional Neural Network for Medical Image Registration with Large Deformations
- A finite-sample generalization bound for stable LPV systems
- SHiNe: Semantic Hierarchy Nexus for Open-vocabulary Object Detection
- A Preprocessing and Postprocessing Voxel-based Method for LiDAR Semantic Segmentation Improvement in Long Distance
- Global Benchmark Database
- Revealing Hierarchical Structure of Leaf Venations in Plant Science via Label-Efficient Segmentation: Dataset and Method
- SynthesizRR: Generating Diverse Datasets with Retrieval Augmentation
- Bilateral Event Mining and Complementary for Event Stream Super-Resolution
- The Real Price of Bandit Information in Multiclass Classification
- Listen Again and Choose the Right Answer: A New Paradigm for Automatic Speech Recognition with Large Language Models
- Delta-rm OPE: Off-Policy Estimation with Pairs of Policies
- Natural Language Can Help Bridge the Sim2Real Gap
- Solving the enigma: Enhancing faithfulness and comprehensibility in explanations of deep networks
- Machine Learning-Based Path Loss Modeling with Simplified Features
- ROCOv2: Radiology Objects in COntext Version 2, an Updated Multimodal Image Dataset
- Driving-Video Dehazing with Non-Aligned Regularization for Safety Assistance
- Learning BPS Spectra and the Gap Conjecture
- A Comprehensive Evaluation of Histopathology Foundation Models for Ovarian Cancer Subtype Classification
- A Gaussian process model for chemoinformatics with application to the hazard classification of organic solvents
- Zero-Shot Hierarchical Classification on the Common Procurement Vocabulary Taxonomy
- FinTextQA: A Dataset for Long-form Financial Question Answering
- Language-Oriented Semantic Latent Representation for Image Transmission
- Predicting Solar Heat Production to Optimize Renewable Energy Usage
- KPNDepth: Depth Estimation of Lane Images under Complex Rainy Environment
- A Unified Deep Transfer Learning Model for Accurate IoT Localization in Diverse Environments
- Patient-Specific Real-Time Segmentation in Trackerless Brain Ultrasound
- Dual-band feature selection for maturity classification of specialty crops by hyperspectral imaging
- Mitigating Text Toxicity with Counterfactual Generation
- FPDIoU Loss: A Loss Function for Efficient Bounding Box Regression of Rotated Object Detection
- SciQAG: A Framework for Auto-Generated Science Question Answering Dataset with Fine-grained Evaluation
- DEBATE: Devil's Advocate-Based Assessment and Text Evaluation
- Detecting Domain Shift in Multiple Instance Learning for Digital Pathology Using Fr'echet Domain Distance
- MiniMaxAD: A Lightweight Autoencoder for Feature-Rich Anomaly Detection
- Learning from Observer Gaze:Zero-Shot Attention Prediction Oriented by Human-Object Interaction Recognition
- Moreau Envelope for Nonconvex Bi-Level Optimization: A Single-loop and Hessian-free Solution Strategy
- Infrared Adversarial Car Stickers
- NTIRE 2024 Restore Any Image Model (RAIM) in the Wild Challenge
- Cross-sensor self-supervised training and alignment for remote sensing
- TransMI: A Framework to Create Strong Baselines from Multilingual Pretrained Language Models for Transliterated Data
- Scaling convolutional neural networks achieves expert-level seizure detection in neonatal EEG
- A Machine Learning Approach for Simultaneous Demapping of QAM and APSK Constellations
- Federated Learning for Misbehaviour Detection with Variational Autoencoders and Gaussian Mixture Models
- Unveiling the Potential: Harnessing Deep Metric Learning to Circumvent Video Streaming Encryption
- "Hunt Takes Hare": Theming Games Through Game-Word Vector Translation
- Balancing Similarity and Complementarity for Federated Learning
- MTLComb: multi-task learning combining regression and classification tasks for joint feature selection
- RoScenes: A Large-scale Multi-view 3D Dataset for Roadside Perception
- Deep Learning-Based Quasi-Conformal Surface Registration for Partial 3D Faces Applied to Facial Recognition
- Hyperplane Arrangements and Fixed Points in Iterated PWL Neural Networks
- Supporting Risk Management for Medical Devices via the Riskman Ontology and Shapes (Preprint)
- Solar multi-object multi-frame blind deconvolution with a spatially variant convolution neural emulator
- Towards Realistic Incremental Scenario in Class Incremental Semantic Segmentation
- IGOT: Information Gain Optimized Tokenizer on Domain Adaptive Pretraining
- Striking a Balance between Classical and Deep Learning Approaches in Natural Language Processing Pedagogy
- Region of Interest Detection in Melanocytic Skin Tumor Whole Slide Images -- Nevus & Melanoma
- Simultaneous Identification of Sparse Structures and Communities in Heterogeneous Graphical Models
- Advances in Robust Federated Learning: A Survey with Heterogeneity Considerations
- Unsupervised Work Behavior Pattern Extraction Based on Hierarchical Probabilistic Model
- Nearly Minimax Optimal Regret for Multinomial Logistic Bandit
- *: Improving the 3D detector by introducing Voxel2Pillar feature encoding and extracting multi-scale features
- Parallel Backpropagation for Shared-Feature Visualization
- Evaluating Algorithmic Bias in Models for Predicting Academic Performance of Filipino Students
- Automating the Training and Deployment of Models in MLOps by Integrating Systems with Machine Learning
- Chameleon: Mixed-Modal Early-Fusion Foundation Models
- Active Learning with Fully Bayesian Neural Networks for Discontinuous and Nonstationary Data
- Semantic Gesticulator: Semantics-Aware Co-Speech Gesture Synthesis
- A Generalist Model for Diverse Text-Guided Medical Image Synthesis
- SecureLLM: Using Compositionality to Build Provably Secure Language Models for Private, Sensitive, and Secret Data
- Analysis and Predictive Modeling of Solar Coronal Holes Using Computer Vision and ARIMA-LSTM Networks
- Manifold Integrated Gradients: Riemannian Geometry for Feature Attribution
- Many-Shot In-Context Learning in Multimodal Foundation Models
- Extrapolating Single-Treatment Effects Out of Factorial Experiments
- Human-AI Safety: A Descendant of Generative AI and Control Systems Safety
- LeMeViT: Efficient Vision Transformer with Learnable Meta Tokens for Remote Sensing Image Interpretation
- Analysis of the BraTS 2023 Intracranial Meningioma Segmentation Challenge
- IBD-PSC: Input-level Backdoor Detection via Parameter-oriented Scaling Consistency
- Online bipartite matching with imperfect advice
- Size-invariance Matters: Rethinking Metrics and Losses for Imbalanced Multi-object Salient Object Detection
- An Independent Implementation of Quantum Machine Learning Algorithms in Qiskit for Genomic Data
- Rethinking Barely-Supervised Volumetric Medical Image Segmentation from an Unsupervised Domain Adaptation Perspective
- Optimization Techniques for Sentiment Analysis Based on LLM (GPT-3)
- Unsupervised Extractive Dialogue Summarization in Hyperdimensional Space
- Fusion Intelligence: Confluence of Natural and Artificial Intelligence for Enhanced Problem-Solving Efficiency
- An Autoencoder and Generative Adversarial Networks Approach for Multi-Omics Data Imbalanced Class Handling and Classification
- Collision Avoidance Metric for 3D Camera Evaluation
- Random Scaling and Momentum for Non-smooth Non-convex Optimization
- An Analysis of Sentential Neighbors in Implicit Discourse Relation Prediction