Papers
Wed 3 Jul 2024
298 papers
- AMEX: Android Multi-annotation Expo Dataset for Mobile GUI AgentsLLM agents and tool use → GUI and mobile agents
- RobocupGym: A challenging continuous control benchmark in RobocupDeep reinforcement learning methods → RL for robot locomotion and manipulation
- RDBE: Reasoning Distillation-Based Evaluation Enhances Automatic Essay ScoringLLM reasoning → Reasoning benchmarks and evaluation +1
- Large Language Model Agents for Improving Engagement with Behavior Change Interventions: Application to Digital MindfulnessLLM agents and tool use → Medical and scientific domain agents
- Regurgitative Training: The Value of Real Data in Training Large Language ModelsSynthetic data and self-improvement for LLMs → LLM synthetic data generation
- DLO: Dynamic Layer Operation for Efficient Vertical Scaling of LLMsMixture-of-experts → MoE large language models
- Synthetic data: How could it be used for infectious disease research?Synthetic data and self-improvement for LLMs → LLM synthetic data generation
- HiDiff: Hybrid Diffusion Framework for Medical Image SegmentationDiffusion models → Medical imaging and segmentation
- AgentInstruct: Toward Generative Teaching with Agentic FlowsLLM agents and tool use → Educational agents and math problem solving
- How JEPA Avoids Noisy Features: The Implicit Bias of Deep Linear Self Distillation NetworksKnowledge distillation → General knowledge distillation methods
- A Role of Environmental Complexity on Representation Learning in Deep Reinforcement Learning AgentsDeep reinforcement learning methods → Deep RL algorithms and representations
- Soft Begging: Modular and Efficient Shielding of LLMs against Prompt Injection and Jailbreaking based on Prompt TuningLLM safety and security → Jailbreaking
- InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and OutputMultimodal LLMs / vision-language models → Video understanding with MLLMs
- BACON: Improving Clarity of Image Captions via Bag-of-Concept GraphsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Efficient Imitation Without Demonstrations via Value-Penalized Auxiliary Control from ExamplesDeep reinforcement learning methods → RL for robot locomotion and manipulation
- A Review of the Applications of Deep Learning-Based Emergent CommunicationDeep reinforcement learning methods → RL training of language and agent models
- DisCo-Diff: Enhancing Continuous Diffusion Models with Discrete LatentsDiffusion models → Diffusion foundations and sampling
- Improved Noise Schedule for Diffusion TrainingDiffusion models → Diffusion foundations and sampling
- Solving the inverse problem of microscopy deconvolution with a residual Beylkin-Coifman-Rokhlin neural networkDiffusion models → Inverse problems and image restoration
- Asynchronous Parallel Policy Gradient Methods for the Linear Quadratic RegulatorDeep reinforcement learning methods → RL for games and combinatorial optimization
- Single Character Perturbations Break LLM AlignmentLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks
- Improving Retrieval-augmented Text-to-SQL with AST-based Ranking and Schema PruningRetrieval-augmented generation → RAG robustness and adaptive retrieval
- TheoremLlama: Transforming General-Purpose LLMs into Lean4 ExpertsLLM reasoning → Mathematical reasoning
- Fine-Tuning on Diverse Reasoning Chains Drives Within-Inference CoT Refinement in LLMsLLM reasoning → Prompting and chain-of-thought reasoning
- Investigating Decoder-only Large Language Models for Speech-to-text TranslationLLM reasoning → Audio-language model reasoning
- Bunny-VisionPro: Real-Time Bimanual Dexterous Teleoperation for Imitation LearningOffline RL and imitation learning from data → Robot manipulation imitation learning
- SOS! Soft Prompt Attack Against Open-Source Large Language ModelsLLM safety and security → Prompt injection and agent security
- Let the Code LLM Edit Itself When You Edit the CodeEfficient LLM inference and serving → KV cache optimization
- Generative AI Enables EEG Super-Resolution via Spatio-Temporal Adaptive Diffusion LearningDiffusion models → Medical imaging and segmentation
- Warm-up Free Policy Optimization: Improved Regret in Linear Markov Decision ProcessesDeep reinforcement learning methods → RL theory and sample complexity
- ALTER: Augmentation for Large-Table-Based ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning
- Improving Zero-shot Generalization of Learned Prompts via Unsupervised Knowledge DistillationMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP +1
- Improving Conversational Abilities of Quantized Large Language Models via Direct Preference AlignmentLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Semantic-Aware Power Allocation for Generative Semantic Communications with Foundation ModelsDiffusion models → Diffusion for compression and wireless
- JailbreakHunter: A Visual Analytics Approach for Jailbreak Prompts Discovery from Large-Scale Human-LLM Conversational DatasetsLLM safety and security → Jailbreaking
- Towards Federated RLHF with Aggregated Client Preference for LLMsLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- An Organism Starts with a Single Pix-Cell: A Neural Cellular Diffusion for High-Resolution Image SynthesisDiffusion models → Medical imaging and segmentation
- Align and Aggregate: Compositional Reasoning with Video Alignment and Answer Aggregation for Video Question-AnsweringLLM reasoning → Multimodal reasoning
- What Affects the Stability of Tool Learning? An Empirical Study on the Robustness of Tool Learning FrameworksLLM agents and tool use → Tool learning and function calling
- Frequency-Controlled Diffusion Model for Versatile Text-Guided Image-to-Image TranslationDiffusion models → Image generation, text-to-image and editing
- SemioLLM: Evaluating Large Language Models for Diagnostic Reasoning from Unstructured Clinical Narratives in EpilepsyLLM reasoning → Clinical and biomedical applications
- VIVA: A Benchmark for Vision-Grounded Decision-Making with Human ValuesMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- MedPix 2.0: A Comprehensive Multimodal Biomedical Data set for Advanced AI Applications with Retrieval Augmented Generation and Knowledge GraphsRetrieval-augmented generation → Medical and biomedical RAG
- LoRA-Guard: Parameter-Efficient Guardrail Adaptation for Content Moderation of Large Language ModelsLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- Unified Anomaly Detection methods on Edge Device using Knowledge Distillation and QuantizationKnowledge distillation → Detection and dense prediction distillation
- FSM: A Finite State Machine Based Zero-Shot Prompting Paradigm for Multi-Hop Question AnsweringLLM reasoning → Knowledge- and tool-augmented reasoning
- GraCoRe: Benchmarking Graph Comprehension and Complex Reasoning in Large Language ModelsLLM reasoning → Knowledge- and tool-augmented reasoning
- Single Image Rolling Shutter Removal with Diffusion ModelsDiffusion models → Video generation
- Efficient Fusion and Task Guided Embedding for End-to-end Autonomous DrivingEnd-to-end autonomous driving → End-to-end system architecture
- Robot Shape and Location Retention in Video Generation Using Diffusion ModelsDiffusion models → Video generation
- Membership Inference Attacks Against Time-Series ModelsLLM safety and security → Membership inference attacks
- From Theft to Bomb-Making: The Ripple Effect of Unlearning in Defending Against Jailbreak AttacksLLM safety and security → Jailbreaking
- MindBench: A Comprehensive Benchmark for Mind Map Structure Recognition and AnalysisMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- LANE: Logic Alignment of Non-tuning Large Language Models and Online Recommendation Systems for Explainable Reason GenerationLLM reasoning → LLM reasoning for recommendation
- Images Speak Louder than Words: Understanding and Mitigating Bias in Vision-Language Model from a Causal Mediation PerspectiveMultimodal LLMs / vision-language models → Social bias and fairness in VLMs
- MLKD-BERT: Multi-level Knowledge Distillation for Pre-trained Language ModelsKnowledge distillation → Knowledge distillation for LLMs
- Curvature Clues: Decoding Deep Learning Privacy with Input Loss CurvatureLLM safety and security → Membership inference attacks
- Highly Accelerated MRI via Implicit Neural Representation Guided Posterior Sampling of Diffusion ModelsDiffusion models → Medical imaging and segmentation
- A Comparative Study of DSL Code Generation: Fine-Tuning vs. Optimized Retrieval AugmentationRetrieval-augmented generation → RAG for code
- MentalAgora: A Gateway to Advanced Personalized Care in Mental Health through Multi-Agent Debating and Attribute ControlLLM agents and tool use → Medical and scientific domain agents
- MedVH: Towards Systematic Evaluation of Hallucination for Large Vision Language Models in the Medical ContextMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- AMA-LSTM: Pioneering Robust and Fair Financial Audio Analysis for Stock Volatility Prediction
- Cognitive Spillover in Human-AI Teams
- Explainable Natural Language Processing for Corporate Sustainability Analysis
- Learning from Memory: Non-Parametric Memory Augmented Self-Supervised Learning of Visual Features
- A Survey on Trustworthiness in Foundation Models for Medical Image Analysis
- Benchmarking End-To-End Performance of AI-Based Chip Placement Algorithms
- Digital Twin-based Driver Risk-Aware Intelligent Mobility Analytics for Urban Transportation Management
- Self-supervised ASR Models and Features For Dysarthric and Elderly Speech Recognition
- OSPC: Artificial VLM Features for Hateful Meme Detection
- ESQA: Event Sequences Question Answering
- Sentence-level Aggregation of Lexical Metrics Correlates Stronger with Human Judgements than Corpus-level Aggregation
- Truth is Universal: Robust Detection of Lies in LLMs
- Knowledge-based Consistency Testing of Large Language Models
- A Geometric Framework for Adversarial Vulnerability in Machine Learning
- A robust three-way classifier with shadowed granular-balls based on justifiable granularity
- Precise and Efficient Orbit Prediction in LEO with Machine Learning using Exogenous Variables
- Backdoor Graph Condensation
- Edge AI-Enabled Chicken Health Detection Based on Enhanced FCOS-Lite and Knowledge Distillation
- ITEM: Improving Training and Evaluation of Message-Passing based GNNs for top-k recommendation
- Self-supervised Pretraining for Partial Differential Equations
- Analytic Convolutional Layer: A Step to Analytic Neural Network
- LLMcap: Large Language Model for Unsupervised PCAP Failure Detection
- On Evaluating Explanation Utility for Human-AI Decision Making in NLP
- Probing Perfection: The Relentless Art of Meddling for Pulmonary Airway Segmentation from HRCT via a Human-AI Collaboration Based Active Learning Method
- Comics Datasets Framework: Mix of Comics datasets for detection benchmarking
- Social Bias in Large Language Models For Bangla: An Empirical Study on Gender and Religious Bias
- BVI-RLV: A Fully Registered Dataset for Low-Light Video Enhancement
- UnSeenTimeQA: Time-Sensitive Question-Answering Beyond LLMs' Memorization
- A multicategory jet image classification framework using deep neural network
- Optimal thresholds and algorithms for a model of multi-modal learning in high dimensions
- Improving LLM Abilities in Idiomatic Translation
- Fast Calculation of Feature Contributions in Boosting Trees
- Towards Attention-based Contrastive Learning for Audio Spoof Detection
- AntibotV: A Multilevel Behaviour-based Framework for Botnets Detection in Vehicular Networks
- Impact of Financial Literacy on Investment Decisions and Stock Market Participation using Extreme Learning Machines
- Codec-ASR: Training Performant Automatic Speech Recognition Systems with Discrete Speech Representations
- FlowCon: Out-of-Distribution Detection using Flow-Based Contrastive Learning
- Celeb-FBI: A Benchmark Dataset on Human Full Body Images and Age, Gender, Height and Weight Estimation using Deep Learning Approach
- Domain-Aware Fine-Tuning of Foundation Models
All 298
- Exploring LGBTQ+ Bias in Generative AI Answers across Different Country and Religious Contexts
- Learning Action and Reasoning-Centric Image Editing from Videos and Simulations
- Prosody-Driven Privacy-Preserving Dementia Detection
- Scaling Data-Driven Building Energy Modelling using Large Language Models
- Precision at Scale: Domain-Specific Datasets On-Demand
- Collaborative Quest Completion with LLM-driven Non-Player Characters in Minecraft
- XferBench: a Data-Driven Benchmark for Emergent Language
- On Large Language Models in National Security Applications
- Towards Asimov's Psychohistory: Harnessing Topological Data Analysis, Artificial Intelligence and Social Media data to Forecast Societal Trends
- Fisher-aware Quantization for DETR Detectors with Critical-category Objectives
- Advanced Framework for Animal Sound Classification With Features Optimization
- DACB-Net: Dual Attention Guided Compact Bilinear Convolution Neural Network for Skin Disease Classification
- NEBULA: Neural Empirical Bayes Under Latent Representations for Efficient and Controllable Design of Molecular Libraries
- Multi-Task Decision-Making for Multi-User 360 Video Processing over Wireless Networks
- Lift, Splat, Map: Lifting Foundation Masks for Label-Free Semantic Scene Completion
- HEMM: Holistic Evaluation of Multimodal Foundation Models
- M5: A Whole Genome Bacterial Encoder at Single Nucleotide Resolution
- A Deterministic Information Bottleneck Method for Clustering Mixed-Type Data
- ConCodeEval: Evaluating Large Language Models for Code Constraints in Domain-Specific Languages
- Visual Robustness Benchmark for Visual Question Answering (VQA)
- Continuous Optimization for Offline Change Point Detection and Estimation
- Planetarium: A Rigorous Benchmark for Translating Text to Structured Planning Languages
- Universal Length Generalization with Turing Programs
- Accelerated Proton Resonance Frequency-based Magnetic Resonance Thermometry by Optimized Deep Learning Method
- HoloHisto: End-to-end Gigapixel WSI Segmentation with 4K Resolution Sequential Tokenization
- Advanced Smart City Monitoring: Real-Time Identification of Indian Citizen Attributes
- NewVEM: A Newton Vertex Exchange Method for a Class of Constrained Self-Concordant Minimization Problems
- Biomechanics-informed Non-rigid Medical Image Registration and its Inverse Material Property Estimation with Linear and Nonlinear Elasticity
- VCHAR:Variance-Driven Complex Human Activity Recognition framework with Generative Representation
- Correlated Privacy Mechanisms for Differentially Private Distributed Mean Estimation
- LLM Internal States Reveal Hallucination Risk Faced With a Query
- Evaluating Automatic Metrics with Incremental Machine Translation Systems
- For a semiotic AI: Bridging computer vision and visual semiotics for computational observation of large scale facial image archives
- Do Quantum Neural Networks have Simplicity Bias?
- A Unified Framework for 3D Scene Understanding
- Ridge Leverage Score Sampling for ℓp Subspace Approximation
- Magnetic Hysteresis Modeling with Neural Operators
- Revisiting Nearest Neighbor for Tabular Data: A Deep Tabular Baseline Two Decades Later
- How Similar Are Elected Politicians and Their Constituents? Quantitative Evidence From Online Social Networks
- STF: Sentence Transformer Fine-Tuning For Topic Categorization With Limited Data
- ACTRESS: Active Retraining for Semi-supervised Visual Grounding
- When big data actually are low-rank, or entrywise approximation of certain function-generated matrices
- TieBot: Learning to Knot a Tie from Visual Demonstration through a Real-to-Sim-to-Real Approach
- Visual Grounding with Attention-Driven Constraint Balancing
- Terrain Classification Enhanced with Uncertainty for Space Exploration Robots from Proprioceptive Data
- Cyclic Refiner: Object-Aware Temporal Representation Learning for Multi-View 3D Detection and Tracking
- CATT: Character-based Arabic Tashkeel Transformer
- Self-Evaluation as a Defense Against Adversarial Attacks on LLMs
- PPO-based Dynamic Control of Uncertain Floating Platforms in the Zero-G Environment
- MHNet: Multi-view High-order Network for Diagnosing Neurodevelopmental Disorders Using Resting-state fMRI
- Learning Disentangled Representation in Object-Centric Models for Visual Dynamics Prediction via Transformers
- How Does Quantization Affect Multilingual LLMs?
- Combining AI Control Systems and Human Decision Support via Robustness and Criticality
- Category-Aware Dynamic Label Assignment with High-Quality Oriented Proposal
- Expressive Gaussian Human Avatars from Monocular RGB Video
- SegVG: Transferring Object Bounding Box to Segmentation for Visual Grounding
- DyFADet: Dynamic Feature Aggregation for Temporal Action Detection
- Incremental Gauss--Newton Methods with Superlinear Convergence Rates
- Prediction Instability in Machine Learning Ensembles
- CiteAssist: A System for Automated Preprint Citation and BibTeX Generation
- MuDiT & MuSiT: Alignment with Colloquial Expression in Description-to-Song Generation
- Multiple-Resolution Tokenization for Time Series Forecasting with an Application to Pricing
- A Formal Model for Artificial Intelligence Applications in Automation Systems
- A multi-objective combinatorial optimisation framework for large scale hierarchical population synthesis
- Motion meets Attention: Video Motion Prompts
- Relating CNN-Transformer Fusion Network for Change Detection
- IMC 2024 Methods & Solutions Review
- LivePortrait: Efficient Portrait Animation with Stitching and Retargeting Control
- Consistent Point Orientation for Manifold Surfaces via Boundary Integration
- Global Context Modeling in YOLOv8 for Pediatric Wrist Fracture Detection
- Reinforcement Learning for Sequence Design Leveraging Protein Language Models
- Stereo Risk: A Continuous Modeling Approach to Stereo Matching
- Enhancing Translation Accuracy of Large Language Models through Continual Pre-Training on Parallel Data
- Venomancer: Towards Imperceptible and Target-on-Demand Backdoor Attacks in Federated Learning
- Machine Learning Models for Improved Tracking from Range-Doppler Map Images
- GMM-ResNext: Combining Generative and Discriminative Models for Speaker Verification
- Speaker- and Text-Independent Estimation of Articulatory Movements and Phoneme Alignments from Speech
- MVGT: A Multi-view Graph Transformer Based on Spatial Relations for EEG Emotion Recognition
- Towards Efficient Pixel Labeling for Industrial Anomaly Detection and Localization
- Social Bias Evaluation for Large Language Models Requires Prompt Variations
- Foundations and Frontiers of Graph Learning Theory
- Can machine learning solve the challenge of adaptive learning and the individualization of learning paths? A field experiment in an online learning platform
- Lp-norm Distortion-Efficient Adversarial Attack
- How Reliable and Stable are Explanations of XAI Methods?
- Anti-Collapse Loss for Deep Metric Learning Based on Coding Rate Metric
- On Generalization for Generative Flow Networks
- KeyVideoLLM: Towards Large-scale Video Keyframe Selection
- Cactus: Towards Psychological Counseling Conversations using Cognitive Behavioral Theory
- Conformal Prediction for Causal Effects of Continuous Treatments
- Revisiting the Performance of Deep Learning-Based Vulnerability Detection on Realistic Datasets
- Effective Heterogeneous Federated Learning via Efficient Hypernetwork-based Weight Generation
- Accelerated Inference for Partially Observed Markov Processes using Automatic Differentiation
- Stable Heterogeneous Treatment Effect Estimation across Out-of-Distribution Populations
- Artificial Inductive Bias for Synthetic Tabular Data Generation in Data-Scarce Scenarios
- A Case Study on Context-Aware Neural Machine Translation with Multi-Task Learning
- Federated Learning for Zero-Day Attack Detection in 5G and Beyond V2X Networks
- xApp Distillation: AI-based Conflict Mitigation in B5G O-RAN
- FairJob: A Real-World Dataset for Fairness in Online Systems
- Enhancements for Real-Time Monte-Carlo Tree Search in General Video Game Playing
- SlerpFace: Face Template Protection via Spherical Linear Interpolation
- Position and Altitude of the Nao Camera Head from Two Points on the Soccer Field plus the Gravitational Direction
- Raw Text is All you Need: Knowledge-intensive Multi-turn Instruction Tuning for Large Language Model
- SAFT: Towards Out-of-Distribution Generalization in Fine-Tuning
- NLP Sampling: Combining MCMC and NLP Methods for Diverse Constrained Sampling
- Attention Incorporated Network for Sharing Low-rank, Image and K-space Information during MR Image Reconstruction to Achieve Single Breath-hold Cardiac Cine Imaging
- ISWSST: Index-space-wave State Superposition Transformers for Multispectral Remotely Sensed Imagery Semantic Segmentation
- Strategies for Arabic Readability Modeling
- Qifusion-Net: Layer-adapted Stream/Non-stream Model for End-to-End Multi-Accent Speech Recognition
- Exploiting Dialect Identification in Automatic Dialectal Text Normalization
- CAVIS: Context-Aware Video Instance Segmentation
- Model Guidance via Explanations Turns Image Classifiers into Segmentation Models
- Human-like Linguistic Biases in Neural Speech Models: Phonetic Categorization and Phonotactic Constraints in Wav2Vec2.0
- Are Large Language Models Consistent over Value-laden Questions?
- Graph and Skipped Transformer: Exploiting Spatial and Temporal Modeling Capacities for Efficient 3D Human Pose Estimation
- YOLOv5, YOLOv8 and YOLOv10: The Go-To Detectors for Real-time Vision
- Semantically Rich Local Dataset Generation for Explainable AI in Genomics
- Mast Kalandar at SemEval-2024 Task 8: On the Trail of Textual Origins: RoBERTa-BiLSTM Approach to Detect AI-Generated Text
- Large Language Models as Evaluators for Scientific Synthesis
- IM-MoCo: Self-supervised MRI Motion Correction using Motion-Guided Implicit Neural Representations
- Zero-X: A Blockchain-Enabled Open-Set Federated Learning Framework for Zero-Day Attack Detection in IoV
- Towards a Scalable Reference-Free Evaluation of Generative Models
- ObfuscaTune: Obfuscated Offsite Fine-tuning and Inference of Proprietary LLMs on Private Datasets
- IncogniText: Privacy-enhancing Conditional Text Anonymization via LLM-based Private Attribute Randomization
- 3D Multimodal Image Registration for Plant Phenotyping
- VEGS: View Extrapolation of Urban Scenes in 3D Gaussian Splatting using Learned Priors
- PII-Compass: Guiding LLM training data extraction prompts towards the target PII via grounding
- Recompression Based JPEG Tamper Detection and Localization Using Deep Neural Network Eliminating Compression Factor Dependency
- Probing the Feasibility of Multilingual Speaker Anonymization
- PosMLP-Video: Spatial and Temporal Relative Position Encoding for Efficient Video Recognition
- Explainable vertebral fracture analysis with uncertainty estimation using differentiable rule-based classification
- EgoFlowNet: Non-Rigid Scene Flow from Point Clouds with Ego-Motion Support
- Free-SurGS: SfM-Free 3D Gaussian Splatting for Surgical Scene Reconstruction
- Towards Negotiative Dialogue for the Talkamatic Dialogue Manager
- The More the Merrier? Navigating Accuracy vs. Energy Efficiency Design Trade-Offs in Ensemble Learning Systems
- SFC: Achieve Accurate Fast Convolution under Low-precision Arithmetic
- Non-Adversarial Learning: Vector-Quantized Common Latent Space for Multi-Sequence MRI
- Domain-independent detection of known anomalies
- The Shortcomings of Force-from-Motion in Robot Learning
- Self-supervised Vision Transformer are Scalable Generative Models for Domain Generalization
- Translatotron-V(ison): An End-to-End Model for In-Image Machine Translation
- An Uncertainty-guided Tiered Self-training Framework for Active Source-free Domain Adaptation in Prostate Segmentation
- GPTQT: Quantize Large Language Models Twice to Push the Efficiency
- Joint Optimization of Resource Allocation and Data Selection for Fast and Cost-Efficient Federated Edge Learning
- Explicitly Guided Information Interaction Network for Cross-modal Point Cloud Completion
- CogErgLLM: Exploring Large Language Model Systems Design Perspective Using Cognitive Ergonomics
- Complex Event Recognition with Symbolic Register Transducers: Extended Technical Report
- CoIR: A Comprehensive Benchmark for Code Information Retrieval Models
- ShiftAddAug: Augment Multiplication-Free Tiny Neural Network with Hybrid Computation
- Knowledge Composition using Task Vectors with Learned Anisotropic Scaling
- LMBF-Net: A Lightweight Multipath Bidirectional Focal Attention Network for Multifeatures Segmentation
- Contrast then Memorize: Semantic Neighbor Retrieval-Enhanced Inductive Multimodal Knowledge Graph Completion
- Fast maneuver recovery from aerial observation: trajectory clustering and outliers rejection
- A Self-Supervised Task for Fault Detection in Satellite Multivariate Time Series
- Early-Stage Anomaly Detection: A Study of Model Performance on Complete vs. Partial Flows
- A Spatio-Temporal Representation Learning as an Alternative to Traditional Glosses in Sign Language Translation and Production
- Plant Doctor: A hybrid machine learning and image segmentation software to quantify plant damage in video footage
- Multi-Task Domain Adaptation for Language Grounding with 3D Objects
- Exploiting Precision Mapping and Component-Specific Feature Enhancement for Breast Cancer Segmentation and Identification
- CRUISE on Quantum Computing for Feature Selection in Recommender Systems
- Comparing Feature-based and Context-aware Approaches to PII Generalization Level Prediction
- A Pairwise DomMix Attentive Adversarial Network for Unsupervised Domain Adaptive Object Detection
- Aspect-Based Sentiment Analysis Techniques: A Comparative Study
- Style Alignment based Dynamic Observation Method for UAV-View Geo-localization
- A Radiometric Correction based Optical Modeling Approach to Removing Reflection Noise in TLS Point Clouds of Urban Scenes
- Convergence of Implicit Gradient Descent for Training Two-Layer Physics-Informed Neural Networks
- Representation learning with CGAN for casual inference
- Effect of a Process Mining based Pre-processing Step in Prediction of the Critical Health Outcomes
- Investigating the Contextualised Word Embedding Dimensions Specified for Contextual and Temporal Semantic Changes
- Efficient Training of Language Models with Compact and Consistent Next Token Distributions
- Data Overfitting for On-Device Super-Resolution with Dynamic Algorithm and Compiler Co-Design
- SPLITZ: Certifiable Robustness via Split Lipschitz Randomized Smoothing
- Efficient DNN-Powered Software with Fair Sparse Models
- Solving Motion Planning Tasks with a Scalable Generative Model
- Euler's Elastica Based Cartoon-Smooth-Texture Image Decomposition
- Learning Positional Attention for Sequential Recommendation
- Model-Enhanced LLM-Driven VUI Testing of VPA Apps
- 52B to 1T: Lessons Learned via Tele-FLM Series
- Croppable Knowledge Graph Embedding
- Foster Adaptivity and Balance in Learning with Noisy Labels
- A Framework for Quantum Finite-State Languages with Density Mapping
- Gradient descent with generalized Newton's method
- Large language models, physics-based modeling, experimental measurements: the trinity of data-scarce learning of polymer properties
- Fine-Grained Scene Image Classification with Modality-Agnostic Adapter
- Knowledge Transfer with Simulated Inter-Image Erasing for Weakly Supervised Semantic Segmentation
- Graphon Particle Systems, Part II: Dynamics of Distributed Stochastic Continuum Optimization
- ADFQ-ViT: Activation-Distribution-Friendly Post-Training Quantization for Vision Transformers
- SF-GNN: Self Filter for Message Lossless Propagation in Deep Graph Neural Network
- Multi-Scenario Combination Based on Multi-Agent Reinforcement Learning to Optimize the Advertising Recommendation System
- Differential Encoding for Improved Representation Learning over Graphs
- Emotion and Intent Joint Understanding in Multimodal Conversation: A Benchmarking Dataset
- Learning to Reduce: Towards Improving Performance of Large Language Models on Structured Data
- Implementation and Analysis of GPU Algorithms for Vecchia Approximation
- ZEAL: Surgical Skill Assessment with Zero-shot Tool Inference Using Unified Foundation Model
- Development of Machine Learning Classifiers for Blood-based Diagnosis and Prognosis of Suspected Acute Infections and Sepsis
- Artificial intelligence and machine learning generated conjectures with TxGraffiti
- e-Health CSIRO at "Discharge Me!" 2024: Generating Discharge Summary Sections with Fine-tuned Language Models
- Model and Feature Diversity for Bayesian Neural Networks in Mutual Learning
- Boosting Biomedical Concept Extraction by Rule-Based Data Augmentation