Papers
Fri 30 Aug 2024
222 papers
- Bridging User Dynamics: Transforming Sequential Recommendations with Schr"odinger Bridge and Diffusion ModelsDiffusion models → Diffusion recommenders
- OrthoDoc: Multimodal Large Language Model for Assisting Diagnosis in Computed TomographyMultimodal LLMs / vision-language models → Medical vision-language models
- ContextVLM: Zero-Shot and Few-Shot Context Understanding for Autonomous Driving using Vision Language ModelsMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection +1
- MAPWise: Evaluating Vision-Language Models for Advanced Map QueriesMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Pre-Training Multimodal Hallucination Detectors with Corrupted Grounding DataMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- Spatially-Aware Diffusion Models with Cross-Attention for Global Field Reconstruction with Sparse ObservationsDiffusion models → Inverse problems and image restoration
- Enhancing Event Reasoning in Large Language Models through Instruction Fine-Tuning with Semantic Causal GraphsLLM reasoning → Causal reasoning in LLMs
- Sequence to Sequence Reward Modeling: Improving RLHF by Language FeedbackLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- MultiMath: Bridging Visual and Mathematical Reasoning for Large Language ModelsLLM reasoning → Multimodal reasoning
- Dynamic Depth Decoding: Faster Speculative Decoding for LLMsEfficient LLM inference and serving → Speculative decoding
- How Knowledge Distillation Mitigates the Synthetic Gap in Fair Face RecognitionKnowledge distillation → General knowledge distillation methods
- Traffic expertise meets residual RL: Knowledge-informed model-based residual reinforcement learning for CAV trajectory controlDeep reinforcement learning methods → RL for autonomous driving and traffic
- Forget to Flourish: Leveraging Machine-Unlearning on Pretrained Language Models for Privacy LeakageLLM safety and security → Membership inference attacks
- Image-Perfect Imperfections: Safety, Bias, and Authenticity in the Shadow of Text-To-Image Model EvolutionDiffusion models → Image generation, text-to-image and editing
- Flexible and Effective Mixing of Large Language Models into a Mixture of Domain ExpertsMixture-of-experts → MoE large language models
- UrBench: A Comprehensive Benchmark for Evaluating Large Multimodal Models in Multi-View Urban ScenariosMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Using Quantum Solved Deep Boltzmann Machines to Increase the Data Efficiency of RL AgentsDeep reinforcement learning methods → Quantum reinforcement learning
- Look, Compare, Decide: Alleviating Hallucination in Large Vision-Language Models via Multi-View Multi-Path ReasoningLLM reasoning → Hallucination detection and mitigation +1
- Flow Matching for Optimal Reaction Coordinates of Biomolecular SystemDiffusion models → Flow matching, time series and science
- VQ4DiT: Efficient Post-Training Vector Quantization for Diffusion TransformersDiffusion models → Diffusion foundations and sampling
- RISSOLE: Parameter-efficient Diffusion Models via Block-wise Generation and Retrieval-GuidanceDiffusion models → Diffusion foundations and sampling
- Stochastic Layer-Wise Shuffle for Improving Vision Mamba TrainingState-space sequence models (S4, Mamba) → Vision Mamba backbones
- MaFeRw: Query Rewriting with Multi-Aspect Feedbacks for Retrieval-Augmented Large Language ModelsRetrieval-augmented generation → Generation and context integration +1
- Vote&Mix: Plug-and-Play Token Reduction for Efficient Vision TransformerEfficient LLM inference and serving → Token pruning and merging for ViTs
- Efficient Image Restoration through Low-Rank Adaptation and Stable Diffusion XLDiffusion models → Inverse problems and image restoration
- Reasoning Aware Self-Consistency: Leveraging Reasoning Paths for Efficient LLM SamplingLLM reasoning → Test-time compute and efficient thinking
- Retrieval-Augmented Natural Language Reasoning for Explainable Visual Question AnsweringLLM reasoning → Multimodal reasoning +1
- Efficient Camera Exposure Control for Visual Odometry via Deep Reinforcement LearningDeep reinforcement learning methods → RL for autonomous driving and traffic
- Safety Layers in Aligned Large Language Models: The Key to LLM SecurityLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks
- A Tighter Convergence Proof of Reverse Experience ReplayDeep reinforcement learning methods → Deep RL algorithms and representations
- Tool-Assisted Agent on SQL Inspection and Refinement in Real-World ScenariosLLM agents and tool use → Web, search, and research agents
- AdaptVision: Dynamic Input Scaling in MLLMs for Versatile Scene UnderstandingMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Beyond Preferences in AI AlignmentLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- The Sample-Communication Complexity Trade-off in Federated Q-LearningDeep reinforcement learning methods → RL for energy, networks and operations
- Contrastive Learning with Synthetic PositivesDiffusion models → Diffusion foundations and sampling
- Discovery of False Data Injection Schemes on Frequency Controllers with Reinforcement LearningDeep reinforcement learning methods → RL for energy, networks and operations
- From Latent to Engine Manifolds: Analyzing ImageBind's Multimodal Embedding Space
- Towards Empathetic Conversational Recommender Systems
- Effective Monitoring of Online Decision-Making Algorithms in Digital Intervention Implementation
- "Is This It?": Towards Ecologically Valid Benchmarks for Situated Collaboration
- 3CSim: CARLA Corner Case Simulation for Control Assessment in Autonomous Driving
- Harnessing Artificial Intelligence for Wildlife Conservation
- LSTM Recurrent Neural Networks for Cybersecurity Named Entity Recognition
- Achieving Responsible AI through ESG: Insights and Recommendations from Industry Engagement
- Deep learning-based classification of breast cancer molecular subtypes from H&E whole-slide images
- Higher order definition of causality by optimally conditioned transfer entropy
- Deep Neural Implicit Representation of Accessibility for Multi-Axis Manufacturing
- Data is missing again -- Reconstruction of power generation data using k-Nearest Neighbors and spectral graph theory
- On Expressive Power of Quantized Neural Networks under Fixed-Point Arithmetic
- Credit Scores: Performance and Equity
- Box2Flow: Instance-based Action Flow Graphs from Videos
- Quantum Machine Learning for Anomaly Detection in Consumer Electronics
- REFFLY: Melody-Constrained Lyrics Editing Model
- OnlySportsLM: Optimizing Sports-Domain Language Models with SOTA Performance under Billion Parameters
- Reframing Data Value for Large Language Models Through the Lens of Plausibility
- RealFace -- Pedestrian Face Dataset
- Simple stochastic processes behind Menzerath's Law
- Exact Recovery Guarantees for Parameterized Nonlinear System Identification Problem under Sparse Disturbances or Semi-Oblivious Attacks
- Towards a dynamical model of English vowels. Evidence from diphthongisation
- Finding frames with BERT: A transformer-based approach to generic news frame detection
- Leveraging a Cognitive Model to Measure Subjective Similarity of Human and GPT-4 Written Content
- Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction
- The Artificial Intelligence Act: critical overview
- AWRaCLe: All-Weather Image Restoration using Visual In-Context Learning
- DiverseDialogue: A Methodology for Designing Chatbots with Human-Like Diversity
- Reconstructing unsteady flows from sparse, noisy measurements with a physics-constrained convolutional neural network
- Improving the Region of Attraction of a Multi-rotor UAV by Estimating Unknown Disturbances
- Building Better Datasets: Seven Recommendations for Responsible Design from Dataset Creators
- Medical Report Generation Is A Multi-label Classification Problem
- Unveiling Processing--Property Relationships in Laser Powder Bed Fusion: The Synergy of Machine Learning and High-throughput Experiments
- TorchDA: A Python package for performing data assimilation with deep learning forward and transformation functions
- One-Frame Calibration with Siamese Network in Facial Action Unit Recognition
- Deep learning surrogate models of JULES-INFERNO for wildfire prediction on a global scale
- Self-Supervised Learning for Building Robust Pediatric Chest X-ray Classification Models
- Can Large Language Models Address Open-Target Stance Detection?
- Learning Latent Space Dynamics with Model-Form Uncertainties: A Stochastic Reduced-Order Modeling Approach
- ProGRes: Prompted Generative Rescoring on ASR n-Best
- Structuring Quantitative Image Analysis with Object Prominence
- Enhancing Document-level Argument Extraction with Definition-augmented Heuristic-driven Prompting for LLMs
- RING#: PR-by-PE Global Localization with Roto-translation Equivariant Gram Learning
- MedDet: Generative Adversarial Distillation for Efficient Cervical Disc Herniation Detection
- The creative psychometric item generator: a framework for item generation and validation using large language models
- Unintentional Security Flaws in Code: Automated Defense via Root Cause Analysis
- A Generative Adversarial Network-based Method for LiDAR-Assisted Radar Image Enhancement
- Inference, interference and invariance: How the Quantum Fourier Transform can help to learn from data
- Facilitating phenotyping from clinical texts: the medkit library
- Deep Neural Networks for Predicting Recurrence and Survival in Patients with Esophageal Cancer After Surgery
- Learning-Based Finite Element Methods Modeling for Complex Mechanical Systems
- LLMs Prompted for Graphs: Hallucinations and Generative Capabilities
- Developing an End-to-End Framework for Predicting the Social Communication Severity Scores of Children with Autism Spectrum Disorder
- Common Steps in Machine Learning Might Hinder The Explainability Aims in Medicine
- Speaker Tagging Correction With Non-Autoregressive Language Models
- From Semantics to Hierarchy: A Hybrid Euclidean-Tangent-Hyperbolic Space Model for Temporal Knowledge Graph Reasoning
- Invariant Representation Guided Multimodal Sentiment Decoding with Sequential Variation Regularization
- Graph neural network-based lithium-ion battery state of health estimation using partial discharging curve
- HERMES: temporal-coHERent long-forM understanding with Episodes and Semantics
- SYNTHEVAL: Hybrid Behavioral Testing of NLP Models with Synthetic CheckLists
- DARES: Depth Anything in Robotic Endoscopic Surgery with Self-supervised Vector-LoRA of the Foundation Model
- Text-to-Speech for Unseen Speakers via Low-Complexity Discrete Unit-Based Frame Selection
- Advancing Multi-talker ASR Performance with Large Language Models
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- CLOCR-C: Context Leveraging OCR Correction with Pre-trained Language Models
- CinePreGen: Camera Controllable Video Previsualization via Engine-powered Diffusion
- Open-Vocabulary Action Localization with Iterative Visual Prompting
- Generative AI Enables Medical Image Segmentation in Ultra Low-Data Regimes
- Getting Inspiration for Feature Elicitation: App Store- vs. LLM-based Approach
- Exploring the Effect of Explanation Content and Format on User Comprehension and Trust in Healthcare
- Fairness-Aware Estimation of Graphical Models
- Continual learning with the neural tangent ensemble
- Bayesian Optimization for Non-Convex Two-Stage Stochastic Optimization Problems
- LASSO-MOGAT: A Multi-Omics Graph Attention Framework for Cancer Classification
- MoRe Fine-Tuning with 10x Fewer Parameters
- EMPOWER: Embodied Multi-role Open-vocabulary Planning with Online Grounding and Execution
- NDP: Next Distribution Prediction as a More Broad Target
- Exploring the Impact of Environmental Pollutants on Multiple Sclerosis Progression
- Leveraging Graph Neural Networks to Forecast Electricity Consumption
- Look, Learn and Leverage (L3): Mitigating Visual-Domain Shift and Discovering Intrinsic Relations via Symbolic Alignment
- Assessing Generative Language Models in Classification Tasks: Performance and Self-Evaluation Capabilities in the Environmental and Climate Change Domain
- Hold Me Tight: Stable Encoder-Decoder Design for Speech Enhancement
- C-RADAR: A Centralized Deep Learning System for Intrusion Detection in Software Defined Networks
- Bidirectional Decoding: Improving Action Chunking via Guided Test-Time Sampling
- AASIST3: KAN-Enhanced AASIST Speech Deepfake Detection using SSL Features and Additional Regularization for the ASVspoof 2024 Challenge
- Language-guided Scale-aware MedSegmentor for Lesion Segmentation in Medical Imaging
- rerankers: A Lightweight Python Library to Unify Ranking Methods
- Enhancing Underwater Imaging with 4-D Light Fields: Dataset and Method
- Evaluating Reliability in Medical DNNs: A Critical Analysis of Feature and Confidence-Based OOD Detection
- Estimation of Cardiac and Non-cardiac Diagnosis from Electrocardiogram Features
- Impact of ChatGPT on the writing style of condensed matter physicists
- Modularity in Transformers: Investigating Neuron Separability & Specialization
- Investigating Neuron Ablation in Attention Heads: The Case for Peak Activation Centering
- Bridging Domain Knowledge and Process Discovery Using Large Language Models
- Fair Best Arm Identification with Fixed Confidence
- Structuring a Training Strategy to Robustify Perception Models with Realistic Image Augmentations
- Towards Tailored Recovery of Lexical Diversity in Literary Machine Translation
- Hybridizing Base-Line 2D-CNN Model with Cat Swarm Optimization for Enhanced Advanced Persistent Threat Detection
- Accelerating the discovery of steady-states of planetary interior dynamics with machine learning
- BOP-Distrib: Revisiting 6D Pose Estimation Benchmarks for Better Evaluation under Visual Ambiguities
- Risk-averse Total-reward MDPs with ERM and EVaR
- DCUDF2: Improving Efficiency and Accuracy in Extracting Zero Level Sets from Unsigned Distance Fields
- Minimax and Communication-Efficient Distributed Best Subset Selection with Oracle Property
- The Transferability of Downsamped Sparse Graph Convolutional Networks
- Equation identification for fluid flows via physics-informed neural networks
- Joint Estimation and Prediction of City-wide Delivery Demand: A Large Language Model Empowered Graph-based Learning Approach
- Self-supervised learning for crystal property prediction via denoising
- VisionTS: Visual Masked Autoencoders Are Free-Lunch Zero-Shot Time Series Forecasters
- Abstracted Gaussian Prototypes for True One-Shot Concept Learning
- (Un)supervised Learning of Maximal Lyapunov Functions
- Categorical data clustering: 25 years beyond K-modes
- A nonlinear elasticity model in computer vision
- AI-Driven Intrusion Detection Systems (IDS) on the ROAD Dataset: A Comparative Analysis for Automotive Controller Area Network (CAN)
- A methodological framework for Resilience as a Service (RaaS) in multimodal urban transportation networks
- CondSeg: Ellipse Estimation of Pupil and Iris via Conditioned Segmentation
- OG-Mapping: Octree-based Structured 3D Gaussians for Online Dense Mapping
- How Could Generative AI Support Compliance with the EU AI Act? A Review for Safe Automated Driving Perception
- Geometry of Lightning Self-Attention: Identifiability and Dimension
- Democratizing AI in Africa: FL for Low-Resource Edge Devices
- NanoMVG: USV-Centric Low-Power Multi-Task Visual Grounding based on Prompt-Guided Camera and 4D mmWave Radar
- Towards Symbolic XAI -- Explanation Through Human Understandable Logical Relationships Between Features
- Covariance-corrected Whitening Alleviates Network Degeneration on Imbalanced Classification
- Reasoning with maximal consistent signatures
- "Benefit Game: Alien Seaweed Swarms" -- Real-time Gamification of Digital Seaweed Ecology
- Short-term Wind Speed Forecasting for Power Integration in Smart Grids based on Hybrid LSSVM-SVMD Method
- Causal Reasoning in Software Quality Assurance: A Systematic Review
- Hybrid Classification-Regression Adaptive Loss for Dense Object Detection
- Improving Extraction of Clinical Event Contextual Properties from Electronic Health Records: A Comparative Study
- Identifying and Clustering Counter Relationships of Team Compositions in PvP Games for Efficient Balance Analysis
- Codec Does Matter: Exploring the Semantic Shortcoming of Codec for Audio Language Model
- SafeTail: Efficient Tail Latency Optimization in Edge Service Scheduling via Computational Redundancy Management
- EMHI: A Multimodal Egocentric Human Motion Dataset with HMD and Body-Worn IMUs
- Learning Multi-Target TDOA Features for Sound Event Localization and Detection
- Efficient Testable Learning of General Halfspaces with Adversarial Label Noise
- The Iterative Optimal Brain Surgeon: Faster Sparse Recovery by Leveraging Second-Order Information
- Deep Feature Embedding for Tabular Data
- Self-supervised Anomaly Detection Pretraining Enhances Long-tail ECG Diagnosis
- Investigating Privacy Leakage in Dimensionality Reduction Methods via Reconstruction Attack
- GMM-IKRS: Gaussian Mixture Models for Interpretable Keypoint Refinement and Scoring
- The Many Faces of Optimal Weak-to-Strong Learning
- Painless Federated Learning: An Interplay of Line-Search and Extrapolation
- RenDetNet: Weakly-supervised Shadow Detection with Shadow Caster Verification
- Leveraging Digital Twin Technologies for Public Space Protection and Vulnerability Assessment
- TIMotion: Temporal and Interactive Framework for Efficient Human-Human Motion Generation
- Controllable Edge-Type-Specific Interpretation in Multi-Relational Graph Neural Networks for Drug Response Prediction
- Exploring User Acceptance Of Portable Intelligent Personal Assistants: A Hybrid Approach Using PLS-SEM And fsQCA
- Efficient Estimation of Unique Components in Independent Component Analysis by Matrix Representation
- Multi-centric AI Model for Unruptured Intracranial Aneurysm Detection and Volumetric Segmentation in 3D TOF-MRI
- Sparse Uncertainty-Informed Sampling from Federated Streaming Data
- Understanding the User: An Intent-Based Ranking Dataset
- Strategic Arms with Side Communication Prevail Over Low-Regret MAB Algorithms
- UTrack: Multi-Object Tracking with Uncertain Detections
- FissionVAE: Federated Non-IID Image Generation with Latent Space and Decoder Decomposition
- Focus-Consistent Multi-Level Aggregation for Compositional Zero-Shot Learning
- Approximately Invertible Neural Network for Learned Image Compression
- Novel-WD: Exploring acquisition of Novel World Knowledge in LLMs Using Prefix-Tuning
- Generalizing Deepfake Video Detection with Plug-and-Play: Video-Level Blending and Spatiotemporal Adapter Tuning
- Instant Adversarial Purification with Adversarial Consistency Distillation
- A Survey of the Self Supervised Learning Mechanisms for Vision Transformers
- LAR-IQA: A Lightweight, Accurate, and Robust No-Reference Image Quality Assessment Model
- BTMuda: A Bi-level Multi-source unsupervised domain adaptation framework for breast cancer diagnosis
- Estimating Conditional Average Treatment Effects via Sufficient Representation Learning
- Can We Leave Deepfake Data Behind in Training Deepfake Detector?
- Text-to-Image Generation Via Energy-Based CLIP
- CP-VoteNet: Contrastive Prototypical VoteNet for Few-Shot Point Cloud Object Detection
- ConDense: Consistent 2D/3D Pre-training for Dense and Sparse Features from Multi-View Images
- From Text to Emotion: Unveiling the Emotion Annotation Capabilities of LLMs
- InkubaLM: A small language model for low-resource African languages
- Error-controlled non-additive interaction discovery in machine learning models
- Disease Classification and Impact of Pretrained Deep Convolution Neural Networks on Diverse Medical Imaging Datasets across Imaging Modalities
- Improving Time Series Classification with Representation Soft Label Smoothing
- Evaluation of Table Representations to Answer Questions from Tables in Documents : A Case Study using 3GPP Specifications
- A Scalable k-Medoids Clustering via Whale Optimization Algorithm
- From Model Explanation to Data Misinterpretation: A Cautionary Analysis of Post Hoc Explainers in Business Research
- 2DGH: 2D Gaussian-Hermite Splatting for High-quality Rendering and Better Geometry Features
- Cross Fusion RGB-T Tracking with Bi-directional Adapter
- Training Ultra Long Context Language Model with Fully Pipelined Distributed Transformer
- Technical Report of HelixFold3 for Biomolecular Structure Prediction
- Synthetic Lunar Terrain: A Multimodal Open Dataset for Training and Evaluating Neuromorphic Vision Algorithms
- Point Neuron Learning: A New Physics-Informed Neural Network Architecture
- MemLong: Memory-Augmented Retrieval for Long Text Modeling
- UserSumBench: A Benchmark Framework for Evaluating User Summarization Approaches
- Causal Representation-Based Domain Generalization on Gaze Estimation
- HiTSR: A Hierarchical Transformer for Reference-based Super-Resolution
- Transient Fault Tolerant Semantic Segmentation for Autonomous Driving
- An Empirical Study of Scaling Laws for Transfer