Papers
Mon 26 Aug 2024
235 papers
- Evaluating ChatGPT on Nuclear Domain-Specific DataRetrieval-augmented generation → RAG robustness and adaptive retrieval
- Watermarking Techniques for Large Language Models: A SurveyLLM safety and security → Watermarking generated content and models
- Training-Free Activation Sparsity in Large Language ModelsEfficient LLM inference and serving → Early exit and edge inference
- Model-Based Reinforcement Learning for Control of Strongly-Disturbed Unsteady Aerodynamic FlowsDeep reinforcement learning methods → RL with diffusion and flow models
- Bridging the Gap: Unpacking the Hidden Challenges in Knowledge Distillation for Online Ranking SystemsKnowledge distillation → Distillation for recommender systems
- Meta Flow Matching: Integrating Vector Fields on the Wasserstein ManifoldDiffusion models → Flow matching, time series and science
- MMR: Evaluating Reading Ability of Large Multimodal ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- DIAGen: Semantically Diverse Image Augmentation with Generative Models for Few-Shot LearningDiffusion models → Image generation, text-to-image and editing
- Retrieval Augmented Generation for Dynamic Graph ModelingRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- A Survey on Reinforcement Learning Applications in SLAMDeep reinforcement learning methods → RL for robot navigation and UAV control
- Advancing Humanoid Locomotion: Mastering Challenging Terrains with Denoising World Model LearningWorld models → Humanoid and legged locomotion world models +1
- Temporal Ensemble LogicLLM reasoning → Knowledge- and tool-augmented reasoning
- Social Perception of Faces in a Vision-Language ModelMultimodal LLMs / vision-language models → Social bias and fairness in VLMs
- CHARTOM: A Visual Theory-of-Mind Benchmark for LLMs on Misleading ChartsMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- LoG-VMamba: Local-Global Vision Mamba for Medical Image SegmentationState-space sequence models (S4, Mamba) → Mamba for medical image analysis
- CURE4Rec: A Benchmark for Recommendation Unlearning with Deeper InfluenceLLM safety and security → Membership inference attacks
- GR-MG: Leveraging Partially Annotated Data via Multi-Modal Goal-Conditioned PolicyDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Foundation Models for Music: A SurveyDiffusion models → Audio, speech and music
- Equivariant Reinforcement Learning under Partial ObservabilityDeep reinforcement learning methods → RL for robot locomotion and manipulation
- MSFMamba: Multi-Scale Feature Fusion State Space Model for Multi-Source Remote Sensing Image ClassificationState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
- TC-PDM: Temporally Consistent Patch Diffusion Models for Infrared-to-Visible Video TranslationDiffusion models → Image generation, text-to-image and editing
- MagicMan: Generative Novel View Synthesis of Humans with 3D-Aware Diffusion and Iterative RefinementDiffusion models → 3D, point cloud and scene generation
- Driving in the Occupancy World: Vision-Centric 4D Occupancy Forecasting and Planning via World Models for Autonomous DrivingWorld models → World models for autonomous driving +1
- Robot Navigation with Entity-Based Collision Avoidance using Deep Reinforcement LearningDeep reinforcement learning methods → RL for robot navigation and UAV control
- SwiftBrush v2: Make Your One-step Diffusion Model Better Than Its TeacherDiffusion models → Diffusion foundations and sampling
- TSAK: Two-Stage Semantic-Aware Knowledge Distillation for Efficient Wearable Modality and Model Optimization in Manufacturing LinesKnowledge distillation → Distillation for medical imaging
- Foodfusion: A Novel Approach for Food Image Composition via Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- ShapeMamba-EM: Fine-Tuning Foundation Model with Local Shape Descriptors and Mamba Blocks for 3D EM Image SegmentationState-space sequence models (S4, Mamba) → Mamba for medical image analysis
- ReLExS: Reinforcement Learning Explanations for Stackelberg No-Regret LearnersDeep reinforcement learning methods → RL for games and combinatorial optimization
- Bridging the gap between Learning-to-plan, Motion Primitives and Safe Reinforcement LearningDeep reinforcement learning methods → Safe and constrained RL
- Let Video Teaches You More: Video-to-Image Knowledge Distillation using DEtection TRansformer for Medical Video Lesion DetectionKnowledge distillation → Distillation for medical imaging
- Re-Mix: Optimizing Data Mixtures for Large Scale Imitation LearningOffline RL and imitation learning from data → Robot manipulation imitation learning
- MLR-Copilot: Autonomous Machine Learning Research based on Large Language Models AgentsLLM agents and tool use → Web, search, and research agents
- SurGen: Text-Guided Diffusion Model for Surgical Video GenerationDiffusion models → Medical imaging and segmentation
- Video-CCAM: Enhancing Video-Language Understanding with Causal Cross-Attention Masks for Short and Long VideosMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Pixel-Aligned Multi-View Generation with Depth Guided DecoderDiffusion models → 3D, point cloud and scene generation
- Optimizing TD3 for 7-DOF Robotic Arm Grasping: Overcoming Suboptimality with Exploration-Enhanced Contrastive LearningDeep reinforcement learning methods → RL for robot locomotion and manipulation
- LMM-VQA: Advancing Video Quality Assessment with Large Multimodal ModelsMultimodal LLMs / vision-language models → Image editing and quality assessment
- Decentralized Federated Learning with Model Caching on Mobile AgentsLLM agents and tool use → Agentic AI for wireless networks
- Quantitative Representation of Scenario Difficulty for Autonomous Driving Based on Adversarial Policy SearchEnd-to-end autonomous driving → Adversarial scenarios and safety testing
- AgentMove: A Large Language Model based Agentic Framework for Zero-shot Next Location PredictionLLM agents and tool use → Multimodal and embodied agents
- Nemesis: Normalizing the Soft-prompt Vectors of Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- AI Thinking: A framework for rethinking artificial intelligence in practice
- LSR-IGRU: Stock Trend Prediction Based on Long Short-Term Relationships and Improved GRU
- DefectTwin: When LLM Meets Digital Twin for Railway Defect Inspection
- MLP, XGBoost, KAN, TDNN, and LSTM-GRU Hybrid RNN with Attention for SPX and NDX European Call Option Pricing
- Elementary School Students' and Teachers' Perceptions Towards Creative Mathematical Writing with Generative AI
- Automated Quantification of White Blood Cells in Light Microscopic Images of Injured Skeletal Muscle
- Students' Perceived Roles, Opportunities, and Challenges of a Generative AI-powered Teachable Agent: A Case of Middle School Math Class
- Evolutionary Game Dynamics Applied to Strategic Adoption of Immersive Technologies in Cultural Heritage and Tourism
- Dual Adversarial Perturbators Generate rich Views for Recommendation
- Unsupervised Representation Learning of Complex Time Series for Maneuverability State Identification in Smart Mobility
- Detailed delineation of the fetal brain in diffusion MRI via multi-task learning
- Scalable Multivariate Fronthaul Quantization for Cell-Free Massive MIMO
- FCDM: A Physics-Guided Bidirectional Frequency Aware Convolution and Diffusion-Based Model for Sinogram Inpainting
- Efficient nonlinear flame response modeling for propulsion thermoacoustic analysis using limited numerical data
- Integrating the Expected Future in Load Forecasts with Contextually Enhanced Transformer Models
- Process Trace Querying using Knowledge Graphs and Notation3
- Examining Independence in Ensemble Sentiment Analysis: A Study on the Limits of Large Language Models Using the Condorcet Jury Theorem
- Towards Sustainable Personalized On-Device Human Activity Recognition with TinyML and Cloud-Enabled Auto Deployment
- Large Language Model for Patent Concept Generation
- Classification of Safety Events at Nuclear Sites using Large Language Models
- On-Device Language Models: A Comprehensive Review
- A Lightweight Human Pose Estimation Approach for Edge Computing-Enabled Metaverse with Compressive Sensing
- Towards Battery-Free Wireless Sensing via Radio-Frequency Energy Harvesting
- Multi-Class Plant Leaf Disease Detection: A CNN-based Approach with Mobile App Integration
- MONAS: Efficient Zero-Shot Neural Architecture Search for MCUs
- Artificial Intelligence in Landscape Architecture: A Survey
- Smart Multi-Modal Search: Contextual Sparse and Dense Embedding Integration in Adobe Express
- A Synthetic Benchmark to Explore Limitations of Localized Drift Detections
- Detecting Interpretable Subgroup Drifts
- Enhancing Neural Network Interpretability Through Conductance-Based Information Plane Analysis
- On-Chip Learning with Memristor-Based Neural Networks: Assessing Accuracy and Efficiency Under Device Variations, Conductance Errors, and Input Noise
- Can Optimization Trajectories Explain Multi-Task Transfer?
- gWaveNet: Classification of Gravity Waves from Noisy Satellite Data using Custom Kernel Integrated Deep Learning Method
- Optimizing against Infeasible Inclusions from Data for Semantic Segmentation through Morphology
- Comparative Analysis: Violence Recognition from Videos using Transfer Learning
- KGPrune: a Web Application to Extract Subgraphs of Interest from Wikidata with Analogical Pruning
- Bidirectional Emergent Language in Situated Environments
- Visions of Destruction: Exploring a Potential of Generative AI in Interactive Art
- Effect of Adaptation Rate and Cost Display in a Human-AI Interaction Game
- Relationships are Complicated! An Analysis of Relationships Between Datasets on the Web
- Hybrid Deep Convolutional Neural Networks Combined with Autoencoders And Augmented Data To Predict The Look-Up Table 2006
- MODOC: A Modular Interface for Flexible Interlinking of Text Retrieval and Text Generation Functions
- What Makes a Good Story and How Can We Measure It? A Comprehensive Survey of Story Evaluation
- General targeted machine learning for modern causal mediation analysis
- BreakNet: Discontinuity-Resilient Multi-Scale Transformer Segmentation of Retinal Layers
- Biased Dueling Bandits with Stochastic Delayed Feedback
- 3D Point Cloud Network Pruning: When Some Weights Do not Matter
- PVAFN: Point-Voxel Attention Fusion Network with Multi-Pooling Enhancing for 3D Object Detection
- On Centralized Critics in Multi-Agent Reinforcement Learning
- Surprisingly Fragile: Assessing and Addressing Prompt Instability in Multimodal Foundation Models
- How to build trust in answers given by Generative AI for specific, and vague, financial questions
- Efficient fine-tuning of 37-level GraphCast with the Canadian global deterministic analysis
- Global-Local Distillation Network-Based Audio-Visual Speaker Tracking with Incomplete Modalities
- EVINCE: Optimizing Multi-LLM Dialogues Using Conditional Statistics and Information Theory
- CURLoRA: Stable LLM Continual Fine-Tuning and Catastrophic Forgetting Mitigation
- Improving Clinical Note Generation from Complex Doctor-Patient Conversation
- A Survey of Camouflaged Object Detection and Beyond
- Exploring the Potential of Synthetic Data to Replace Real Data
All 235
- Aiding Humans in Financial Fraud Decision Making: Toward an XAI-Visualization Framework
- Revisiting Image Captioning Training Paradigm via Direct CLIP-based Optimization
- Adaptive Resolution Inference (ARI): Energy-Efficient Machine Learning for Internet of Things
- Multi-Agent Path Finding with Real Robot Dynamics and Interdependent Tasks for Automated Warehouses
- Estimating Uncertainty with Implicit Quantile Network
- Towards Graph Prompt Learning: A Survey and Beyond
- A Multilateral Attention-enhanced Deep Neural Network for Disease Outbreak Forecasting: A Case Study on COVID-19
- A Practitioner's Guide to Continual Multimodal Pretraining
- Step-by-Step Unmasking for Parameter-Efficient Fine-tuning of Large Language Models
- Grounded Multi-Hop VideoQA in Long-Form Egocentric Videos
- K-Sort Arena: Efficient and Reliable Benchmarking for Generative Models via K-wise Human Preferences
- Explicit Inductive Inference using Large Language Models
- A domain decomposition-based autoregressive deep learning model for unsteady and nonlinear partial differential equations
- Dense Center-Direction Regression for Object Counting and Localization with Point Supervision
- Center Direction Network for Grasping Point Localization on Cloths
- Reconstructing physiological signals from fMRI across the adult lifespan
- Symmetry & Critical Points
- Model Parallel Training and Transfer Learning for Convolutional Neural Networks by Domain Decomposition
- Attend-Fusion: Efficient Audio-Visual Fusion for Video Classification
- Evaluating Large Language Models on Spatial Tasks: A Multi-Task Benchmarking Study
- Sparsity-Aware Hardware-Software Co-Design of Spiking Neural Networks: An Overview
- Employing Artificial Intelligence to Steer Exascale Workflows with Colmena
- Contextual Bandit with Herding Effects: Algorithms and Recommendation Applications
- Few-Shot 3D Volumetric Segmentation with Multi-Surrogate Fusion
- Evaluating saliency scores in point clouds of natural environments by learning surface anomalies
- MEDSAGE: Enhancing Robustness of Medical Dialogue Summarization to ASR Errors with LLM-generated Synthetic Dialogues
- Hyperdimensional Computing Empowered Federated Foundation Model over Wireless Networks for Metaverse
- Spectrally Informed Learning of Fluid Flows
- Application of Neural Ordinary Differential Equations for ITER Burning Plasma Dynamics
- Quasi-Bayesian sequential deconvolution
- Satellite Sunroof: High-res Digital Surface Models and Roof Segmentation for Global Solar Mapping
- On the Limitations of Language Targeted Pruning: Investigating the Calibration Language Impact in Multilingual LLM Pruning
- Uncovering Knowledge Gaps in Radiology Report Generation Models through Knowledge Graphs
- Reprogramming Foundational Large Language Models(LLMs) for Enterprise Adoption for Spatio-Temporal Forecasting Applications: Unveiling a New Era in Copilot-Guided Cross-Modal Time Series Representation Learning
- Learning Tree-Structured Composition of Data Augmentation
- Probing Causality Manipulation of Large Language Models
- SelEx: Self-Expertise in Fine-Grained Generalized Category Discovery
- Exploiting Conjugate Label Information for Multi-Instance Partial-Label Learning
- An Embedding is Worth a Thousand Noisy Labels
- SWE-bench-java: A GitHub Issue Resolving Benchmark for Java
- LogProber: Disentangling confidence from contamination in LLM responses
- Deep learning-based ecological analysis of camera trap images is impacted by training data quality and quantity
- A Brief Analysis of the Iterative Next Boundary Detection Network for Tree Rings Delineation in Images of Pinus taeda
- ConceptMix: A Compositional Image Generation Benchmark with Controllable Difficulty
- Machine Learning for Quantifier Selection in cvc5
- One-layer transformers fail to solve the induction heads task
- Automated Machine Learning in Insurance
- Towards Adaptive Human-centric Video Anomaly Detection: A Comprehensive Framework and A New Benchmark
- Streamline tractography of the fetal brain in utero with machine learning
- Function-Space MCMC for Bayesian Wide Neural Networks
- Rethinking Knowledge Transfer in Learning Using Privileged Information
- Claim Verification in the Age of Large Language Models: A Survey
- Logic interpretations of ANN partition cells
- LLM-3D Print: Large Language Models To Monitor and Control 3D Printing
- Resource Efficient Asynchronous Federated Learning for Digital Twin Empowered IoT Network
- May the Forgetting Be with You: Alternate Replay for Learning with Noisy Labels
- Predictability and Causality in Spanish and English Natural Language Generation
- Uncertainties of Latent Representations in Computer Vision
- Learning Local Pattern Modularization for Point Cloud Reconstruction from Unseen Classes
- Epidemic Information Extraction for Event-Based Surveillance using Large Language Models
- Reliable Multi-modal Medical Image-to-image Translation Independent of Pixel-wise Aligned Data
- 1-Bit FQT: Pushing the Limit of Fully Quantized Training to 1-bit
- HyperSBINN: A Hypernetwork-Enhanced Systems Biology-Informed Neural Network for Efficient Drug Cardiosafety Assessment
- Self-supervised Speech Representations Still Struggle with African American Vernacular English
- Integrated Brain Connectivity Analysis with fMRI, DTI, and sMRI Powered by Interpretable Graph Neural Networks
- Text3DAug -- Prompted Instance Augmentation for LiDAR Perception
- An Evaluation of Explanation Methods for Black-Box Detectors of Machine-Generated Text
- Beyond Few-shot Object Detection: A Detailed Survey
- Cascaded Temporal Updating Network for Efficient Video Super-Resolution
- Celtibero: Robust Layered Aggregation for Federated Learning
- DSTI at LLMs4OL 2024 Task A: Intrinsic versus extrinsic knowledge for type classification
- FSDEM: Feature Selection Dynamic Evaluation Metric
- Holistic Uncertainty Estimation For Open-Set Recognition
- Provable Imbalanced Point Clustering
- Fact Probability Vector Based Goal Recognition
- Lemon and Orange Disease Classification using CNN-Extracted Features and Machine Learning Classifier
- Representative Arm Identification: A fixed confidence approach to identify cluster representatives
- Feature Aligning Few shot Learning Method Using Local Descriptors Weighted Rules
- EMDFNet: Efficient Multi-scale and Diverse Feature Network for Traffic Sign Detection
- Ensemble Predicate Decoding for Unbiased Scene Graph Generation
- Affine steerers for structured keypoint description
- DynamicRouteGPT: A Real-Time Multi-Vehicle Dynamic Navigation Framework Based on Large Language Models
- I2EBench: A Comprehensive Benchmark for Instruction-based Image Editing
- NimbleD: Enhancing Self-supervised Monocular Depth Estimation with Pseudo-labels and Large-scale Video Pre-training
- BackFlip: The Impact of Local and Global Data Augmentations on Artistic Image Aesthetic Assessment
- Dynamic Pricing for Electric Vehicle Charging
- Fire-Flyer AI-HPC: A Cost-Effective Software-Hardware Co-Design for Deep Learning
- Investigating the effect of Mental Models in User Interaction with an Adaptive Dialog Agent
- Explaining Caption-Image Interactions in CLIP Models with Second-Order Attributions
- Application of Disentanglement to Map Registration Problem
- Neighborhood and Global Perturbations Supported SAM in Federated Learning: From Local Tweaks To Global Awareness
- 2D-Malafide: Adversarial Attacks Against Face Deepfake Detection Systems
- Crowd-Calibrator: Can Annotator Disagreement Inform Calibration in Subjective Tasks?
- Multi-Faceted Evaluation of Modeling Languages for Augmented Reality Applications -- The Case of ARWFML
- Exploring the Potential of Large Language Models for Heterophilic Graphs
- GenFormer -- Generated Images are All You Need to Improve Robustness of Transformers on Small Datasets
- Theoretical Proportion Label Perturbation for Learning from Label Proportions in Large Bags
- Enhancing Fairness through Reweighting: A Path to Attain the Sufficiency Rule
- Contrastive Learning Subspace for Text Clustering
- Towards Lifelong Learning Embeddings: An Algorithmic Approach to Dynamically Extend Embeddings
- Hierarchical Learning and Computing over Space-Ground Integrated Networks
- Bengali Sign Language Recognition through Hand Pose Estimation using Multi-Branch Spatial-Temporal Attention Model
- Estimating Causal Effects from Learned Causal Networks
- Exploring GPU-to-GPU Communication: Insights into Supercomputer Interconnects
- LSM-YOLO: A Compact and Effective ROI Detector for Medical Detection
- HABD: a houma alliance book ancient handwritten character recognition database
- SONICS: Synthetic Or Not -- Identifying Counterfeit Songs
- Score-based change point detection via tracking the best of infinitely many experts
- Revisiting Vacuous Reduct Semantics for Abstract Argumentation (Extended Version)
- Evaluating the Visual Similarity of Southwest China's Ethnic Minority Brocade Based on Deep Learning
- HAPM -- Hardware Aware Pruning Method for CNN hardware accelerators in resource constrained devices
- Enhancing Depression Diagnosis with Chain-of-Thought Prompting
- Alleviating Class Imbalance in Semi-supervised Multi-organ Segmentation via Balanced Subclass Regularization
- Beyond Detection: Leveraging Large Language Models for Cyber Attack Prediction in IoT Networks
- PAGE: Parametric Generative Explainer for Graph Neural Network
- Collaborative Perception in Multi-Robot Systems: Case Studies in Household Cleaning and Warehouse Operations
- FAST-LIVO2: Fast, Direct LiDAR-Inertial-Visual Odometry
- More Pictures Say More: Visual Intersection Network for Open Set Object Detection
- Empowering Low-Resource Language ASR via Large-Scale Pseudo Labeling
- An Item Response Theory-based R Module for Algorithm Portfolio Analysis
- Category-Theoretical and Topos-Theoretical Frameworks in Machine Learning: A Survey
- A Multiscale Gradient Fusion Method for Edge Detection in Color Images Utilizing the CBM3D Filter
- Improving Water Quality Time-Series Prediction in Hong Kong using Sentinel-2 MSI Data and Google Earth Engine Cloud Computing
- Avatar Concept Slider: Controllable Editing of Concepts in 3D Human Avatars
- Dual-CBA: Improving Online Continual Learning via Dual Continual Bias Adaptors from a Bi-level Optimization Perspective
- Automatic Medical Report Generation: Methods and Applications
- Focused Large Language Models are Stable Many-Shot Learners
- TF-Attack: Transferable and Fast Adversarial Attacks on Large Language Models
- Dual-Path Adversarial Lifting for Domain Shift Correction in Online Test-time Adaptation
- ARANet: Attention-based Residual Adversarial Network with Deep Supervision for Radiotherapy Dose Prediction of Cervical Cancer
- FusionSAM: Visual Multi-Modal Learning with Segment Anything
- Histology Virtual Staining with Mask-Guided Adversarial Transfer Learning for Tertiary Lymphoid Structure Detection
- DynaSurfGS: Dynamic Surface Reconstruction with Planar-based Gaussian Splatting
- Reducing the Cost: Cross-Prompt Pre-Finetuning for Short Answer Scoring
- Question answering system of bridge design specification based on large language model