Papers
Tue 23 Apr 2024
288 papers
- Graph Neural Networks and Reinforcement Learning for Proactive Application Image PlacementDeep reinforcement learning methods → RL for energy, networks and operations
- Interactive Generation of Laparoscopic Videos with Diffusion ModelsDiffusion models → Medical imaging and segmentation
- Evaluating Tool-Augmented Agents in Remote Sensing PlatformsLLM agents and tool use → Multimodal and embodied agents
- LogicBench: Towards Systematic Evaluation of Logical Reasoning Ability of Large Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
- Visual Delta Generator with Large Multi-modal Models for Semi-supervised Composed Image RetrievalMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- ToM-LM: Delegating Theory of Mind Reasoning to External Symbolic Executors in Large Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
- ID-Aligner: Enhancing Identity-Preserving Text-to-Image Generation with Reward Feedback LearningDiffusion models → Image generation, text-to-image and editing +1
- GLoD: Composing Global Contexts and Local Details in Image GenerationDiffusion models → Image generation, text-to-image and editing
- XC-Cache: Cross-Attending to Cached Context for Efficient LLM InferenceEfficient LLM inference and serving → KV cache optimization
- The Power of Resets in Online Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
- Planning the path with Reinforcement Learning: Optimal Robot Motion Planning in RoboCup Small Size League EnvironmentsDeep reinforcement learning methods → RL for robot navigation and UAV control
- Wiki-LLaVA: Hierarchical Retrieval-Augmented Generation for Multimodal LLMsMultimodal LLMs / vision-language models → Document understanding and multimodal RAG +1
- ControlTraj: Controllable Trajectory Generation with Topology-Constrained Diffusion ModelDiffusion models → Diffusion and flow policies for robotics
- Aligning LLM Agents by Learning Latent Preference from User EditsLLM agents and tool use → Agent memory systems +1
- XFT: Unlocking the Power of Code Instruction Tuning by Simply Merging Upcycled Mixture-of-ExpertsMixture-of-experts → MoE large language models
- Re-Thinking Inverse Graphics With Large Language ModelsLLM reasoning → Multimodal reasoning
- Does Instruction Tuning Make LLMs More Consistent?LLM reasoning → Reasoning benchmarks and evaluation
- Reinforcement Learning with Adaptive Regularization for Safe Control of Critical SystemsDeep reinforcement learning methods → Safe and constrained RL
- Test-Time Adaptation for Combating Missing Modalities in Egocentric VideosKnowledge distillation → Multimodal distillation
- Rethinking LLM Memorization through the Lens of Adversarial CompressionLLM reasoning → Reasoning benchmarks and evaluation +1
- CutDiffusion: A Simple, Fast, Cheap, and Strong Diffusion Extrapolation MethodDiffusion models → Diffusion foundations and sampling
- Taming Diffusion Probabilistic Models for Character ControlDiffusion models → Video generation
- Compete and Compose: Learning Independent Mechanisms for Modular World ModelsWorld models → World models for language agents
- Multimodal Large Language Model is a Human-Aligned Annotator for Text-to-Image GenerationMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
- Perturbing Attention Gives You More Bang for the Buck: Subtle Imaging Perturbations That Efficiently Fool Customized Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects
- Using deep reinforcement learning to promote sustainable human behaviour on a common pool resource problemDeep reinforcement learning methods → RL for games and combinatorial optimization
- Multi-Head Mixture-of-ExpertsMixture-of-experts → MoE large language models
- OccGen: Generative Multi-modal 3D Occupancy Prediction for Autonomous DrivingWorld models → World models for autonomous driving
- Mamba3D: Enhancing Local Features for 3D Point Cloud Analysis via State Space ModelState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
- Achieving >97% on GSM8K: Deeply Understanding the Problems Makes LLMs Better Solvers for Math Word ProblemsLLM reasoning → Mathematical reasoning
- Cache-Aware Reinforcement Learning in Large-Scale Recommender SystemsDeep reinforcement learning methods → RL training of language and agent models
- A Comprehensive Survey for Hyperspectral Image Classification: The Evolution from Conventional to Transformers and Mamba ModelsState-space sequence models (S4, Mamba) → Hyperspectral image analysis with Mamba
- MultiSTOP: Solving Functional Equations with Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
- Driver Activity Classification Using Generalizable Representations from Vision-Language ModelsMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection
- Beyond the Speculative Game: A Survey of Speculative Execution in Large Language ModelsEfficient LLM inference and serving → Speculative decoding
- DENOISER: Rethinking the Robustness for Open-Vocabulary Action RecognitionMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Sentence-Level or Token-Level? A Comprehensive Study on Knowledge DistillationKnowledge distillation → Knowledge distillation for LLMs
- Enhancing Chain of Thought Prompting in Large Language Models via Reasoning PatternsLLM reasoning → Prompting and chain-of-thought reasoning
- DesignProbe: A Graphic Design Benchmark for Multimodal Large Language ModelsMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- Watch Out for Your Guidance on Generation! Exploring Conditional Backdoor Attacks against Large Language ModelsLLM safety and security → Backdoor and data poisoning attacks
- ClinicalAgent: Clinical Trial Multi-Agent System with Large Language Model-based ReasoningLLM reasoning → Clinical and biomedical applications +1
- Simulating Task-Oriented Dialogues with State Transition Graphs and Large Language ModelsRetrieval-augmented generation → Conversational and speech RAG
- Music Style Transfer With Diffusion ModelDiffusion models → Audio, speech and music
- Enhancing Prompt Following with Visual Control Through Training-Free Mask-Guided DiffusionDiffusion models → Image generation, text-to-image and editing
- Evolutionary Reinforcement Learning via Cooperative CoevolutionDeep reinforcement learning methods → RL for games and combinatorial optimization
- Retrieval Augmented Generation for Domain-specific Question AnsweringRetrieval-augmented generation → RAG robustness and adaptive retrieval
- SST: Multi-Scale Hybrid Mamba-Transformer Experts for Time Series ForecastingState-space sequence models (S4, Mamba) → Time series forecasting with SSMs
- SkinGEN: an Explainable Dermatology Diagnosis-to-Generation Framework with Interactive Vision-Language ModelsMultimodal LLMs / vision-language models → Medical vision-language models
- Grounded Knowledge-Enhanced Medical Vision-Language Pre-training for Chest X-RayMultimodal LLMs / vision-language models → Medical vision-language models
- Gradient Guidance for Diffusion Models: An Optimization PerspectiveDiffusion models → Diffusion foundations and sampling
- Generate-on-Graph: Treat LLM as both Agent and KG in Incomplete Knowledge Graph Question AnsweringLLM agents and tool use → Web, search, and research agents
- Rank2Reward: Learning Shaped Reward Functions from Passive VideoDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Insights into Alignment: Evaluating DPO and its Variants Across Multiple TasksLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- FINEMATCH: Aspect-based Fine-grained Image and Text Mismatch Detection and CorrectionMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Enhancing High-Speed Cruising Performance of Autonomous Vehicles through Integrated Deep Reinforcement Learning FrameworkEnd-to-end autonomous driving → Reinforcement learning for driving +1
- Think-Program-reCtify: 3D Situated Reasoning with Large Language ModelsLLM reasoning → Spatial and embodied reasoning
- FlashSpeech: Efficient Zero-Shot Speech SynthesisDiffusion models → Audio, speech and music
- Pegasus-v1 Technical ReportMultimodal LLMs / vision-language models → Video understanding with MLLMs
- 3DBench: A Scalable 3D Benchmark and Instruction-Tuning DatasetMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- DreamPBR: Text-driven Generation of High-resolution SVBRDF with Multi-modal GuidanceDiffusion models → 3D, point cloud and scene generation
- NExT: Teaching Large Language Models to Reason about Code ExecutionLLM reasoning → Reasoning for agents, planning and code
- Bi-CL: A Reinforcement Learning Framework for Robots Coordination Through Bi-level OptimizationDeep reinforcement learning methods → RL for games and combinatorial optimization
- The AI Companion in Education: Analyzing the Pedagogical Potential of ChatGPT in Computer Science and Engineering
- Instructors as Innovators: A future-focused approach to new AI learning opportunities, with prompts
- Towards Socially and Environmentally Responsible AI
- Machine Learning-Enhanced Ant Colony Optimization for Column Generation
- Understanding attention-based encoder-decoder networks: a case study with chess scoresheet recognition
- Utilizing Graph Generation for Enhanced Domain Adaptive Object Detection
- Compressed Meta-Optical Encoder for Image Classification
- AI and Machine Learning for Next Generation Science Assessments
- Evaluating Large Language Models for Material Selection
- CausalLP: Learning causal relations with weighted knowledge graph link prediction
- Evaluating LLMs for Hardware Design and Test
- Are Biological Systems More Intelligent Than Artificial Intelligence?
- Software Mention Recognition with a Three-Stage Framework Based on BERTology Models at SOMD 2024
- On Using Agent-based Modeling and Simulation for Studying Blockchain Systems
- Understanding Large Language Model Behaviors through Interactive Counterfactual Generation and Analysis
- From Complexity to Clarity: How AI Enhances Perceptions of Scientists and the Public's Understanding of Science
- SHED: Shapley-Based Automated Dataset Refinement for Instruction Fine-Tuning
- Nested Inheritance Dynamics
- Revealing and Utilizing In-group Favoritism for Graph-based Collaborative Filtering
- Adapting an Artificial Intelligence Sexually Transmitted Diseases Symptom Checker Tool for Mpox Detection: The HeHealth Experience
- Aligning Knowledge Graphs Provided by Humans and Generated from Neural Networks in Specific Tasks
- Myopically Verifiable Probabilistic Certificates for Safe Control and Learning
- ThermoPore: Predicting Part Porosity Based on Thermal Images Using Deep Learning
- On uncertainty-penalized Bayesian information criterion
- Atomas: Hierarchical Alignment on Molecule-Text for Unified Molecule Understanding and Generation
- Explaining AI Decisions: Towards Achieving Human-Centered Explainability in Smart Home Environments
- Playing Board Games with the Predict Results of Beam Search Algorithm
- Augmenting the Author: Exploring the Potential of AI Collaboration in Academic Writing
- CASPR: Automated Evaluation Metric for Contrastive Summarization
- Guided AbsoluteGrad: Magnitude of Gradients Matters to Explanation's Localization and Saliency
- Cross-Temporal Spectrogram Autoencoder (CTSAE): Unsupervised Dimensionality Reduction for Clustering Gravitational Wave Glitches
- PRISM: Patient Records Interpretation for Semantic Clinical Trial Matching using Large Language Models
- DreamCraft: Text-Guided Generation of Functional 3D Environments in Minecraft
- BattleAgent: Multi-modal Dynamic Emulation on Historical Battles to Complement Historical Analysis
- Understanding Hyperbolic Metric Learning through Hard Negative Sampling
- An MRP Formulation for Supervised Learning: Generalized Temporal Difference Learning Models
- NeuraChip: Accelerating GNN Computations with a Hash-based Decoupled Spatial Accelerator
- FedGreen: Carbon-aware Federated Learning with Model Size Adaptation
All 288
- Killkan: The Automatic Speech Recognition Dataset for Kichwa with Morphosyntactic Information
- GeoLLM-Engine: A Realistic Environment for Building Geospatial Copilots
- Deep-learning Optical Flow Outperforms PIV in Obtaining Velocity Fields from Active Nematics
- Multi-scale Intervention Planning based on Generative Design
- IryoNLP at MEDIQA-CORR 2024: Tackling the Medical Error Detection & Correction Task On the Shoulders of Medical Agents
- Evaluating the Efficacy of Large Language Models in Identifying Phishing Attempts
- Training all-mechanical neural networks for task learning through in situ backpropagation
- Private Optimal Inventory Policy Learning for Feature-based Newsvendor with Unknown Demand
- Learning Electromagnetic Metamaterial Physics With ChatGPT
- CFPFormer: Feature-pyramid like Transformer Decoder for Segmentation and Detection
- Deep multi-prototype capsule networks
- Iterative Cluster Harvesting for Wafer Map Defect Patterns
- Using Deep Learning to Identify Initial Error Sensitivity for Interpretable ENSO Forecasts
- Machine Learning Techniques with Fairness for Prediction of Completion of Drug and Alcohol Rehabilitation
- Insufficient Statistics Perturbation: Stable Estimators for Private Least Squares
- Photometry of Saturated Stars with Neural Networks
- On Generating Cancelable Biometric Template using Reverse of Boolean XOR
- Na"ive Bayes and Random Forest for Crop Yield Prediction
- Remedying uncertainty representations in visual inference through Explaining-Away Variational Autoencoders
- ML-based identification of the interface regions for coupling local and nonlocal models
- Machine Learning Applied to the Detection of Mycotoxin in Food: A Review
- Large-Scale Multipurpose Benchmark Datasets For Assessing Data-Driven Deep Learning Approaches For Water Distribution Networks
- Sum of Group Error Differences: A Critical Examination of Bias Evaluation in Biometric Verification and a Dual-Metric Measure
- FL-TAC: Enhanced Fine-Tuning in Federated Learning via Low-Rank, Task-Specific Adapter Clustering
- WANDR: Intention-guided Human Motion Generation
- Feature Distribution Shift Mitigation with Contrastive Pretraining for Intrusion Detection
- Advances and Open Challenges in Federated Foundation Models
- Clustering of timed sequences -- Application to the analysis of care pathways
- Hierarchical Hybrid Sliced Wasserstein: A Scalable Metric for Heterogeneous Joint Distributions
- Fourier Series Guided Design of Quantum Convolutional Neural Networks for Enhanced Time Series Forecasting
- SMPLer: Taming Transformers for Monocular 3D Human Shape and Pose Estimation
- ID-Animator: Zero-Shot Identity-Preserving Human Video Generation
- Metric-Guided Conformal Bounds for Probabilistic Image Reconstruction
- Estimation Network Design framework for efficient distributed optimization
- CT-GLIP: 3D Grounded Language-Image Pretraining with CT Scans and Radiology Reports for Full-Body Scenarios
- Automatic Layout Planning for Visually-Rich Documents with Instruction-Following Models
- From Parts to Whole: A Unified Reference Framework for Controllable Human Image Generation
- TalkingGaussian: Structure-Persistent 3D Talking Head Synthesis via Gaussian Splatting
- Multi-Session SLAM with Differentiable Wide-Baseline Pose Optimization
- Resistance Distance and Linearized Optimal Transport on Graphs
- FlowMap: High-Quality Camera Poses, Intrinsics, and Depth via Gradient Descent
- Score matching for sub-Riemannian bridge sampling
- TOP-Nav: Legged Navigation Integrating Terrain, Obstacle and Proprioception Estimation
- How to use and interpret activation patching
- UniMERNet: A Universal Network for Real-World Mathematical Expression Recognition
- GIST: Gibbs self-tuning for locally adaptive Hamiltonian Monte Carlo
- Source-free Domain Adaptation for Video Object Detection Under Adverse Image Conditions
- Mining Invariance from Nonlinear Multi-Environment Data: Binary Classification
- Image-Specific Adaptation of Transformer Encoders for Compute-Efficient Segmentation
- A Hybrid Kernel-Free Boundary Integral Method with Operator Learning for Solving Parametric Partial Differential Equations In Complex Domains
- CultureBank: An Online Community-Driven Knowledge Base Towards Culturally Aware Language Technologies
- Massively Annotated Datasets for Assessment of Synthetic and Real Data in Face Recognition
- Direct Zernike Coefficient Prediction from Point Spread Functions and Extended Images using Deep Learning
- PHLP: Sole Persistent Homology for Link Prediction - Interpretable Feature Extraction
- Deep Models for Multi-View 3D Object Recognition: A Review
- Unsupervised End-to-End Task-Oriented Dialogue with LLMs: The Power of the Noisy Channel
- CORE-BEHRT: A Carefully Optimized and Rigorously Evaluated BEHRT
- Setting up the Data Printer with Improved English to Ukrainian Machine Translation
- Closed Loop Interactive Embodied Reasoning for Robot Manipulation
- Voice Passing : a Non-Binary Voice Gender Prediction System for evaluating Transgender voice transition
- Fourier-enhanced Implicit Neural Fusion Network for Multispectral and Hyperspectral Image Fusion
- Adaptive Mixed-Scale Feature Fusion Network for Blind AI-Generated Image Quality Assessment
- Student Data Paradox and Curious Case of Single Student-Tutor Model: Regressive Side Effects of Training LLMs for Personalized Learning
- Bias patterns in the application of LLMs for clinical decision support: A comprehensive study
- Gallbladder Cancer Detection in Ultrasound Images based on YOLO and Faster R-CNN
- GSCo: Towards Generalizable AI in Medicine via Generalist-Specialist Collaboration
- Identifying Fairness Issues in Automatically Generated Testing Content
- Multi-view Content-aware Indexing for Long Document Retrieval
- Uncertainty Quantification of Data-Driven Output Predictors in the Output Error Setting
- Impedance Matching: Enabling an RL-Based Running Jump in a Quadruped Robot
- Using ARIMA to Predict the Expansion of Subscriber Data Consumption
- Hyperparameter Optimization Can Even be Harmful in Off-Policy Learning and How to Deal with It
- Harnessing Optical Imaging Limit through Atmospheric Scattering Media
- BotDGT: Dynamicity-aware Social Bot Detection with Dynamic Graph Transformers
- Enhancing Textual Personality Detection toward Social Media: Integrating Long-term and Short-term Perspectives
- Formal Verification of Graph Convolutional Networks with Uncertain Node Features and Uncertain Graph Structure
- A Mechanism-Based Approach to Mitigating Harms from Persuasive Generative AI
- Leverage Variational Graph Representation For Model Poisoning on Federated Learning
- LEAF: Unveiling Two Sides of the Same Coin in Semi-supervised Facial Expression Recognition
- DP-Net: Learning Discriminative Parts for image recognition
- Deep Multi-View Channel-Wise Spatio-Temporal Network for Traffic Flow Prediction
- IPAD: Industrial Process Anomaly Detection Dataset
- Explainable LightGBM Approach for Predicting Myocardial Infarction Mortality
- PRISM: A Promptable and Robust Interactive Segmentation Model with Visual Prompts
- A Learning Paradigm for Interpretable Gradients
- A review of deep learning-based information fusion techniques for multimodal medical image classification
- Conformal Predictive Systems Under Covariate Shift
- X-3D: Explicit 3D Structure Modeling for Point Cloud Recognition
- The Brain Tumor Segmentation in Pediatrics (BraTS-PEDs) Challenge: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs)
- External Prompt Features Enhanced Parameter-efficient Fine-tuning for Salient Object Detection
- TAXI: Evaluating Categorical Knowledge Editing for Language Models
- Comparison of Current Approaches to Lemmatization: A Case Study in Estonian
- A Unified Replay-based Continuous Learning Framework for Spatio-Temporal Prediction on Streaming Data
- CA-Stream: Attention-based pooling for interpretable image recognition
- Transformers Can Represent n-gram Language Models
- A Reproducibility Study of PLAID
- textttMiniMol: A Parameter-Efficient Foundation Model for Molecular Learning
- Other Tokens Matter: Exploring Global and Local Features of Vision Transformers for Object Re-Identification
- SGFormer: Spherical Geometry Transformer for 360 Depth Estimation
- Social Media and Artificial Intelligence for Sustainable Cities and Societies: A Water Quality Analysis Use-case
- CAGE: Circumplex Affect Guided Expression Inference
- Symbolic Integration Algorithm Selection with Machine Learning: LSTMs vs Tree LSTMs
- Integrating Heterogeneous Gene Expression Data through Knowledge Graphs for Improving Diabetes Prediction
- CenterArt: Joint Shape Reconstruction and 6-DoF Grasp Estimation of Articulated Objects
- CoARF: Controllable 3D Artistic Style Transfer for Radiance Fields
- DAWN: Domain-Adaptive Weakly Supervised Nuclei Segmentation via Cross-Task Interactions
- Dynamic pricing with Bayesian updates from online reviews
- Leveraging Speech for Gesture Detection in Multimodal Communication
- Reconstructing the Image Stitching Pipeline: Integrating Fusion and Rectangling into a Unified Inpainting Model
- Multi-Modal Prompt Learning on Blind Image Quality Assessment
- StoryTTS: A Highly Expressive Text-to-Speech Dataset with Rich Textual Expressiveness Annotations
- Pyramid Hierarchical Transformer for Hyperspectral Image Classification
- Importance of Disjoint Sampling in Conventional and Transformer Models for Hyperspectral Image Classification
- Does It Make Sense to Explain a Black Box With Another Black Box?
- Manipulating Recommender Systems: A Survey of Poisoning Attacks and Countermeasures
- Delayed Bottlenecking: Alleviating Forgetting in Pre-trained Graph Neural Networks
- G3R: Generating Rich and Fine-grained mmWave Radar Data from 2D Videos for Generalized Gesture Recognition
- Fin-Fed-OD: Federated Outlier Detection on Financial Tabular Data
- Graph Machine Learning in the Era of Large Language Models (LLMs)
- Pillars of Grammatical Error Correction: Comprehensive Inspection Of Contemporary Approaches In The Era of Large Language Models
- Additive Margin in Contrastive Self-Supervised Frameworks to Learn Discriminative Speaker Representations
- Mining Supervision for Dynamic Regions in Self-Supervised Monocular Depth Estimation
- Beyond Code Generation: An Observational Study of ChatGPT Usage in Software Engineering Practice
- GCEPNet: Graph Convolution-Enhanced Expectation Propagation for Massive MIMO Detection
- Domain adaptive pose estimation via multi-level alignment
- Language in Vivo vs. in Silico: Size Matters but Larger Language Models Still Do Not Comprehend Language on a Par with Humans Due to Impenetrable Semantic Reference
- A sensitivity analysis to quantify the impact of neuroimaging preprocessing strategies on subsequent statistical analyses
- Regularized Gauss-Newton for Optimizing Overparameterized Neural Networks
- Estimating the Distribution of Parameters in Differential Equations with Repeated Cross-Sectional Data
- Exploring Human-AI Collaboration in Agile: Customised LLM Meeting Assistants
- EEGEncoder: Advancing BCI with Transformer-Based Motor Imagery Classification
- Variational Bayesian surrogate modelling with application to robust design optimisation
- The Geometry of the Set of Equivalent Linear Neural Networks
- Ultrasound Nodule Segmentation Using Asymmetric Learning with Simple Clinical Annotation
- From Matching to Generation: A Survey on Generative Information Retrieval
- Simple, Efficient and Scalable Structure-aware Adapter Boosts Protein Language Models
- Ultrasound SAM Adapter: Adapting SAM for Breast Lesion Segmentation in Ultrasound Images
- Probabilistic forecasting of power system imbalance using neural network-based ensembles
- Semi-supervised 2D Human Pose Estimation via Adaptive Keypoint Masking
- Towards Universal Dense Blocking for Entity Resolution
- CoProNN: Concept-based Prototypical Nearest Neighbors for Explaining Vision Models
- Revisiting Neural Networks for Continual Learning: An Architectural Perspective
- CNN2GNN: How to Bridge CNN with GNN
- Time-aware Heterogeneous Graph Transformer with Adaptive Attention Merging for Health Event Prediction
- FLARE: A New Federated Learning Framework with Adjustable Learning Rates over Resource-Constrained Wireless Networks
- A Survey of Large Language Models on Generative Graph Analytics: Query, Learning, and Applications
- Visual-Augmented Dynamic Semantic Prototype for Generative Zero-Shot Learning
- BigReg: An Efficient Registration Pipeline for High-Resolution X-Ray and Light-Sheet Fluorescence Microscopy
- RealTCD: Temporal Causal Discovery from Interventional Data with Large Language Model
- ContextualFusion: Context-Based Multi-Sensor Fusion for 3D Object Detection in Adverse Operating Conditions
- Med42 -- Evaluating Fine-Tuning Strategies for Medical LLMs: Full-Parameter vs. Parameter-Efficient Approaches
- Unified Unsupervised Salient Object Detection via Knowledge Transfer
- Second-order Information Promotes Mini-Batch Robustness in Variance-Reduced Gradients
- Skip the Benchmark: Generating System-Level High-Level Synthesis Data using Generative Machine Learning
- Semantic Cells: Evolutional Process to Acquire Sense Diversity of Items
- Differentiable Score-Based Likelihoods: Learning CT Motion Compensation From Clean Images
- A Customer Level Fraudulent Activity Detection Benchmark for Enhancing Machine Learning Model Research and Evaluation
- You Think, You ACT: The New Task of Arbitrary Text to Motion Generation
- Modeling the Sacred: Considerations when Using Religious Texts in Natural Language Processing
- BMapEst: Estimation of Brain Tissue Probability Maps using a Differentiable MRI Simulator
- Qualitative Approaches to Voice UX
- Novel Topological Machine Learning Methodology for Stream-of-Quality Modeling in Smart Manufacturing
- Dynamically Anchored Prompting for Task-Imbalanced Continual Learning
- Bayesian Example Selection Improves In-Context Learning for Speech, Text, and Visual Modalities
- ORBIT: Oak Ridge Base Foundation Model for Earth System Predictability
- SC-HVPPNet: Spatial and Channel Hybrid-Attention Video Post-Processing Network with CNN and Transformer
- Unsupervised Domain Adaptation Architecture Search with Self-Training for Land Cover Mapping
- Deep neural networks for choice analysis: Enhancing behavioral regularity with gradient regularization
- Adaptive Prompt Learning with Negative Textual Semantics and Uncertainty Modeling for Universal Multi-Source Domain Adaptation
- MisgenderMender: A Community-Informed Approach to Interventions for Misgendering
- DIP-Watermark: A Double Identity Protection Method Based on Robust Adversarial Watermark
- Interpretable Prediction and Feature Selection for Survival Analysis
- FMint: Bridging Human Designed and Data Pretrained Models for Differential Equation Foundation Model
- Automated Multi-Language to English Machine Translation Using Generative Pre-Trained Transformers
- HOIN: High-Order Implicit Neural Representations
- LaneCorrect: Self-supervised Lane Detection
- 3DFlowRenderer: One-shot Face Re-enactment via Dense 3D Facial Flow Estimation
- Employing Layerwised Unsupervised Learning to Lessen Data and Loss Requirements in Forward-Forward Algorithms
- First Mapping the Canopy Height of Primeval Forests in the Tallest Tree Area of Asia
- AI Procurement Checklists: Revisiting Implementation in the Age of AI Governance
- Progressive Token Length Scaling in Transformer Encoders for Efficient Universal Segmentation
- Machine Vision-Based Assessment of Fall Color Changes and its Relationship with Leaf Nitrogen Concentration
- Forecasting the Forced van der Pol Equation with Frequent Phase Shifts Using Reservoir Computing
- Exploring and Unleashing the Power of Large Language Models in Automated Code Translation
- Uncertainty Quantification on Graph Learning: A Survey
- Digital Twins for forecasting and decision optimisation with machine learning: applications in wastewater treatment
- UPose3D: Uncertainty-Aware 3D Human Pose Estimation with Cross-View and Temporal Cues
- Learning Word Embedding with Better Distance Weighting and Window Size Scheduling