Papers
Thu 11 Apr 2024
265 papers
- HGFF: A Deep Reinforcement Learning Framework for Lifetime Maximization in Wireless Sensor NetworksDeep reinforcement learning methods → RL for energy, networks and operations
- R2 Indicator and Deep Reinforcement Learning Enhanced Adaptive Multi-Objective Evolutionary AlgorithmDeep reinforcement learning methods → RL for games and combinatorial optimization
- Distilling Algorithmic Reasoning from LLMs via Explaining Solution ProgramsLLM reasoning → Reasoning benchmarks and evaluation
- LLM Agents can Autonomously Exploit One-day VulnerabilitiesLLM agents and tool use → Agent threats, guardrails and governance
- Generative Information Retrieval EvaluationRetrieval-augmented generation → RAG pipeline design and evaluation
- Towards a Robust Soft Baby Robot With Rich Interaction Ability for Advanced Machine Learning AlgorithmsDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Data-Augmentation-Based Dialectal Adaptation for LLMsLLM reasoning → Reasoning benchmarks and evaluation
- Efficient Duple Perturbation Robustness in Low-rank MDPsDeep reinforcement learning methods → RL theory and sample complexity
- SQBC: Active Learning using LLM-Generated Synthetic Data for Stance Detection in Online Political DiscussionsSynthetic data and self-improvement for LLMs → LLM synthetic data generation
- Rethinking Artistic Copyright Infringements in the Era of Text-to-Image Generative ModelsDiffusion models → Image generation, text-to-image and editing
- SurvMamba: State Space Model with Multi-grained Multi-modal Interaction for Survival PredictionState-space sequence models (S4, Mamba) → Mamba for medical image analysis
- ControlNet++: Improving Conditional Controls with Efficient Consistency FeedbackDiffusion models → Image generation, text-to-image and editing +1
- Two Effects, One Trigger: On the Modality Gap, Object Bias, and Information Imbalance in Contrastive Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- LLoCO: Learning Long Contexts OfflineEfficient LLM inference and serving → Prompt and context compression
- OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer EnvironmentsLLM agents and tool use → GUI and mobile agents
- Taming Stable Diffusion for Text to 360deg Panorama Image GenerationDiffusion models → 3D, point cloud and scene generation
- Boosting Self-Supervision for Single-View Scene Completion via Knowledge DistillationKnowledge distillation → Detection and dense prediction distillation
- FusionMamba: Efficient Remote Sensing Image Fusion with State Space ModelState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
- LaVy: Vietnamese Multimodal Large Language ModelMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- AmpleGCG: Learning a Universal and Transferable Generative Model of Adversarial Suffixes for Jailbreaking Both Open and Closed LLMsLLM safety and security → Jailbreaking
- DesignQA: A Multimodal Benchmark for Evaluating Large Language Models' Understanding of Engineering DocumentationMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- Analyzing Toxicity in Deep Conversations: A Reddit Case StudyLLM safety and security → Safety alignment, refusal and guardrails
- On the Sample Efficiency of Abstractions and Potential-Based Reward Shaping in Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
- Heron-Bench: A Benchmark for Evaluating Vision Language Models in JapaneseMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- DGMamba: Domain Generalization via Generalized State Space ModelState-space sequence models (S4, Mamba) → Vision Mamba backbones
- ConsistencyDet: A Few-step Denoising Framework for Object Detection Using the Consistency ModelDiffusion models → Image generation, text-to-image and editing
- An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and OptimizationDiffusion models → Diffusion foundations and sampling +1
- Joint Conditional Diffusion Model for Image Restoration with Mixed DegradationsDiffusion models → Inverse problems and image restoration
- NeuroNCAP: Photorealistic Closed-loop Safety Testing for Autonomous DrivingEnd-to-end autonomous driving → Adversarial scenarios and safety testing
- Applying Guidance in a Limited Interval Improves Sample and Distribution Quality in Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- Reflectance Estimation for Proximity Sensing by Vision-Language Models: Utilizing Distributional Semantics for Low-Level Cognition in RoboticsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- ViM-UNet: Vision Mamba for Biomedical SegmentationState-space sequence models (S4, Mamba) → Mamba for medical image analysis
- ODA: Observation-Driven Agent for integrating LLMs and Knowledge GraphsLLM agents and tool use → Web, search, and research agents
- Simba: Mamba augmented U-ShiftGCN for Skeletal Action Recognition in VideosState-space sequence models (S4, Mamba) → Video, motion and generative Mamba models
- Diffusion Probabilistic Multi-cue Level Set for Reducing Edge Uncertainty in Pancreas SegmentationDiffusion models → Medical imaging and segmentation
- Implicit and Explicit Language Guidance for Diffusion-based Visual PerceptionDiffusion models → Image generation, text-to-image and editing
- Fragile Model Watermark for integrity protection: leveraging boundary volatility and sensitive sample-pairingLLM safety and security → Watermarking generated content and models
- Differentially Private Reinforcement Learning with Self-PlayDeep reinforcement learning methods → RL for energy, networks and operations
- CAT: Contrastive Adapter Training for Personalized Image GenerationDiffusion models → Image generation, text-to-image and editing
- Comments as Natural Logic Pivots: Improve Code Generation via Comment PerspectiveLLM reasoning → Reasoning for agents, planning and code
- Does In-Context Learning Really Learn? Rethinking How Large Language Models Respond and Solve Tasks via In-Context LearningLLM reasoning → Reasoning benchmarks and evaluation
- Enhancing Policy Gradient with the Polyak Step-Size AdaptionDeep reinforcement learning methods → RL theory and sample complexity
- PromptSync: Bridging Domain Gaps in Vision-Language Models through Class-Aware Prototype Alignment and DiscriminationMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Best Practices and Lessons Learned on Synthetic DataSynthetic data and self-improvement for LLMs → LLM synthetic data generation
- Offline Reinforcement Learning with Domain-Unlabeled DataOffline RL and imitation learning from data → Offline RL algorithms
- WESE: Weak Exploration to Strong Exploitation for LLM AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Collaborative Ground-Space Communications via Evolutionary Multi-objective Deep Reinforcement LearningDeep reinforcement learning methods → RL for robot navigation and UAV control
- Learning to Localize Objects Improves Spatial Reasoning in Visual-LLMsLLM reasoning → Spatial and embodied reasoning
- Transferable and Principled Efficiency for Open-Vocabulary SegmentationMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Behavior Trees Enable Structured Programming of Language Model AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- AdaDemo: Data-Efficient Demonstration Expansion for Generalist Robotic AgentLLM agents and tool use → Multimodal and embodied agents +1
- JetMoE: Reaching Llama2 Performance with 0.1M DollarsMixture-of-experts → MoE large language models
- The Transformation Risk-Benefit Model of Artificial Intelligence: Balancing Risks and Benefits Through Practical Solutions and Use Cases
- Matrix-Free Jacobian Chaining
- Quantum Reinforcement Learning in Non-Abelian Environments: Unveiling Novel Formulations and Quantum Advantage Exploration
- CodeFort: Robust Training for Code Generation Models
- Uncovering the Metaverse within Everyday Environments: a Coarse-to-Fine Approach
- The Future of Scientific Publishing: Automated Article Generation
- Rumour Evaluation with Very Large Language Models
- Human Latency Conversational Turns for Spoken Avatar Systems
- Adversarial Robustness of Distilled and Pruned Deep Learning-based Wireless Classifiers
- Edge-Efficient Deep Learning Models for Automatic Modulation Classification: A Performance Analysis
- WaveSleepNet: An Interpretable Network for Expert-like Sleep Staging
- Classifier-guided neural blind deconvolution: a physics-informed denoising module for bearing fault diagnosis under heavy noise
- FPGA Divide-and-Conquer Placement using Deep Reinforcement Learning
- The Necessity of AI Audit Standards Boards
- Token Space: A Category Theory Framework for AI Computations
- Survival Prediction Across Diverse Cancer Types Using Neural Networks
- Machine learning and economic forecasting: the role of international trade networks
- Drug Repurposing for Parkinson's Disease Using Random Walk With Restart Algorithm and the Parkinson's Disease Ontology Database
- Do Large Language Models Learn Human-Like Strategic Preferences?
- Fβ-plot -- a visual tool for evaluating imbalanced data classifiers
- Multi-scale Topology Optimization using Neural Networks
- CEM: A Data-Efficient Method for Large Language Models to Continue Evolving From Mistakes
- Game Generation via Large Language Models
- Introducing L2M3, A Multilingual Medical Large Language Model to Advance Health Equity in Low-Resource Regions
- MM-PhyQA: Multimodal Physics Question-Answering With Multi-Image CoT Prompting
- Synthetic Brain Images: Bridging the Gap in Brain Mapping With Generative Adversarial Model
- Predictive Modelling of Air Quality Index (AQI) Across Diverse Cities and States of India using Machine Learning: Investigating the Influence of Punjab's Stubble Burning on AQI Variability
- Can Contrastive Learning Refine Embeddings
- On the Power of Interactive Proofs for Learning
- Multimodal Contextual Dialogue Breakdown Detection for Conversational AI Models
- Graph Integrated Language Transformers for Next Action Prediction in Complex Phone Calls
- Eliminating Catastrophic Overfitting Via Abnormal Adversarial Examples Regularization
- Exponentially Weighted Moving Models
- SciFlow: Empowering Lightweight Optical Flow Models with Self-Cleaning Iterations
- Extending Translate-Train for ColBERT-X to African Language CLIR
- Frame Quantization of Neural Networks
- Self-Supervised Learning of Color Constancy
- Auctions with LLM Summaries
- A least-square method for non-asymptotic identification in linear switching control
- HLTCOE at TREC 2023 NeuCLIR Track
- Predictive Handover Strategy in 6G and Beyond: A Deep and Transfer Learning Approach
- S3Editor: A Sparse Semantic-Disentangled Self-Training Framework for Face Video Editing
- DisorderUnetLM: Validating ProteinUnet for efficient protein intrinsic disorder prediction
- Continual Learning of Range-Dependent Transmission Loss for Underwater Acoustic using Conditional Convolutional Neural Net
- Visual Context-Aware Person Fall Detection
- Real-Time Detection and Analysis of Vehicles and Pedestrians using Deep Learning
- Variance-reduced Zeroth-Order Methods for Fine-Tuning Language Models
- DIMAT: Decentralized Iterative Merging-And-Training for Deep Learning Models
All 265
- Spurious Stationarity and Hardness Results for Bregman Proximal-Type Algorithms
- Persistent Classification: A New Approach to Stability of Data and Adversarial Examples
- WildGraph: Realistic Graph-based Trajectory Generation for Wildlife
- MSciNLI: A Diverse Benchmark for Scientific Natural Language Inference
- The Impact of Speech Anonymization on Pathology and Its Limits
- Physics-Enhanced Graph Neural Networks For Soft Sensing in Industrial Internet of Things
- Latent Guard: a Safety Framework for Text-to-image Generation
- A Multi-Expert Large Language Model Architecture for Verilog Code Generation
- FedAuxHMTL: Federated Auxiliary Hard-Parameter Sharing Multi-Task Learning for Network Edge Traffic Classification
- The OxMat dataset: a multimodal resource for the development of AI-driven technologies in maternal and newborn child health
- Pathology-genomic fusion via biologically informed cross-modality graph learning for survival analysis
- VeTraSS: Vehicle Trajectory Similarity Search Through Graph Modeling and Representation Learning
- Augmenting Knowledge Graph Hierarchies Using Neural Transformers
- Learning Chemotherapy Drug Action via Universal Physics-Informed Neural Networks
- Connecting NeRFs, Images, and Text
- GoMVS: Geometrically Consistent Cost Aggregation for Multi-View Stereo
- GoMAvatar: Efficient Animatable Human Modeling from Monocular Video Using Gaussians-on-Mesh
- OpenBias: Open-set Bias Detection in Text-to-Image Generative Models
- Any2Point: Empowering Any-modality Large Models for Efficient 3D Understanding
- QuasiSim: Parameterized Quasi-Physical Simulators for Dexterous Manipulations Transfer
- WaveMo: Learning Wavefront Modulations to See Through Scattering
- View Selection for 3D Captioning via Diffusion Ranking
- The Role of Language Imbalance in Cross-lingual Generalisation: Insights from Cloned Language Experiments
- Manipulating Large Language Models to Increase Product Visibility
- Gaga: Group Any Gaussians via 3D-aware Memory Bank
- Self-supervised Dataset Distillation: A Good Compression Is All You Need
- Ferret-v2: An Improved Baseline for Referring and Grounding with Large Language Models
- Differentiable All-pole Filters for Time-varying Audio Systems
- Rho-1: Not All Tokens Are What You Need
- Lyapunov-stable Neural Control for State and Output Feedback: A Novel Formulation
- On Unified Prompt Tuning for Request Quality Assurance in Public Code Review
- Rate-Optimal Non-Asymptotics for the Quadratic Prediction Error Method
- Goal Recognition via Linear Programming
- Parameter Hierarchical Optimization for Visible-Infrared Person Re-Identification
- Leveraging Large Language Models (LLMs) to Support Collaborative Human-AI Online Risk Data Annotation
- A Parsimonious Setup for Streamflow Forecasting using CNN-LSTM
- ST-LoRA: Low-rank Adaptation for Spatio-Temporal Forecasting
- HGRN2: Gated Linear RNNs with State Expansion
- High-Dimension Human Value Representation in Large Language Models
- Anomaly Detection in Power Grids via Context-Agnostic Learning
- Context-aware Video Anomaly Detection in Long-Term Datasets
- Apprentice Tutor Builder: A Platform For Users to Create and Personalize Intelligent Tutors
- The Power of Properties: Uncovering the Influential Factors in Emotion Classification
- Inferring Change Points in High-Dimensional Regression via Approximate Message Passing
- Streaming detection of significant delay changes in public transport systems
- Resolve Domain Conflicts for Generalizable Remote Physiological Measurement
- Guiding Large Language Models to Post-Edit Machine Translation with Error Annotations
- MindBridge: A Cross-Subject Brain Decoding Framework
- Overparameterized Multiple Linear Regression as Hyper-Curve Fitting
- The Effectiveness of a Simplified Model Structure for Crowd Counting
- Rethinking Transformer-Based Blind-Spot Network for Self-Supervised Image Denoising
- On Training Data Influence of GPT Models
- RecurrentGemma: Moving Past Transformers for Efficient Open Language Models
- Question Generation in Knowledge-Driven Dialog: Explainability and Evaluation
- Streamlined Photoacoustic Image Processing with Foundation Models: A Training-Free Solution
- Sparse Laneformer
- Calibration of Continual Learning Models
- Post-Hoc Reversal: Are We Selecting Models Prematurely?
- Lexical Complexity Prediction and Lexical Simplification for Catalan and Spanish: Resource Creation, Quality Assessment, and Ethical Considerations
- Voice-Assisted Real-Time Traffic Sign Recognition System Using Convolutional Neural Network
- Nostra Domina at EvaLatin 2024: Improving Latin Polarity Detection through Data Augmentation
- VIFNet: An End-to-end Visible-Infrared Fusion Network for Image Dehazing
- AUG: A New Dataset and An Efficient Model for Aerial Image Urban Scene Graph Generation
- PRAM: Place Recognition Anywhere Model for Efficient Visual Localization
- Quality check of a sample partition using multinomial distribution
- Unsupervised Concept Drift Detection based on Parallel Activations of Neural Network
- Discourse-Aware In-Context Learning for Temporal Expression Normalization
- Sketch-Plan-Generalize: Learning and Planning with Neuro-Symbolic Programmatic Representations for Inductive Spatial Concepts
- Using Letter Positional Probabilities to Assess Word Complexity
- RMAFF-PSN: A Residual Multi-Scale Attention Feature Fusion Photometric Stereo Network
- AnnoCTR: A Dataset for Detecting and Linking Entities, Tactics, and Techniques in Cyber Threat Reports
- Generating Synthetic Satellite Imagery With Deep-Learning Text-to-Image Models -- Technical Challenges and Implications for Monitoring and Verification
- Mitigating Vulnerable Road Users Occlusion Risk Via Collective Perception: An Empirical Analysis
- Generating consistent PDDL domains with Large Language Models
- 3D-CSAD: Untrained 3D Anomaly Detection for Complex Manufacturing Surfaces
- Exploiting Object-based and Segmentation-based Semantic Features for Deep Learning-based Indoor Scene Classification
- ResearchAgent: Iterative Research Idea Generation over Scientific Literature with Large Language Models
- Diffusing in Someone Else's Shoes: Robotic Perspective Taking with Diffusion
- Monte Carlo Tree Search with Boltzmann Exploration
- Realistic Continual Learning Approach using Pre-trained Models
- Unraveling the Dilemma of AI Errors: Exploring the Effectiveness of Human and Machine Explanations for Large Language Models
- Automatic Generation and Evaluation of Reading Comprehension Test Items with Large Language Models
- Reframing the Mind-Body Picture: Applying Formal Systems to the Relationship of Mind and Matter
- Progressive Semantic-Guided Vision Transformer for Zero-Shot Learning
- OpenTrench3D: A Photogrammetric 3D Point Cloud Dataset for Semantic Segmentation of Underground Utilities
- Learning Hamiltonian Dynamics with Reproducing Kernel Hilbert Spaces and Random Features
- Point Cloud Geometry Scalable Coding with a Quality-Conditioned Latents Probability Estimator
- Flatness Improves Backbone Generalisation in Few-shot Classification
- Chaos in Motion: Unveiling Robustness in Remote Heart Rate Measurement through Brain-Inspired Skin Tracking
- Depth Estimation using Weighted-loss and Transfer Learning
- Run-time Monitoring of 3D Object Detection in Automated Driving Systems Using Early Layer Neural Activation Patterns
- Model-based Cleaning of the QUILT-1M Pathology Dataset for Text-Conditional Image Synthesis
- Curated Datasets and Neural Models for Machine Translation of Informal Registers between Mayan and Spanish Vernaculars
- Deep learning-driven pulmonary artery and vein segmentation reveals demography-associated vasculature anatomical differences
- Shape Completion in the Dark: Completing Vertebrae Morphology from 3D Ultrasound
- Dealing with Subject Similarity in Differential Morphing Attack Detection
- Finding Dino: A Plug-and-Play Framework for Zero-Shot Detection of Out-of-Distribution Objects Using Prototypes
- Interactive Ontology Matching with Cost-Efficient Learning
- PINNACLE: PINN Adaptive ColLocation and Experimental points selection
- Robust performance metrics for imbalanced classification problems
- rollama: An R package for using generative large language models through Ollama
- Separated Attention: An Improved Cycle GAN Based Under Water Image Enhancement Method
- Why do small language models underperform? Studying Language Model Saturation via the Softmax Bottleneck
- Homography Guided Temporal Fusion for Road Line and Marking Segmentation
- Language Models Meet Anomaly Detection for Better Interpretability and Generalizability
- Audio Dialogues: Dialogues dataset for audio and music understanding
- Medical mT5: An Open-Source Multilingual Text-to-Text LLM for The Medical Domain
- NoticIA: A Clickbait Article Summarization Dataset in Spanish
- Do You Remember? Dense Video Captioning with Cross-Modal Memory Retrieval
- Automatic Detection of Dark Ship-to-Ship Transfers using Deep Learning and Satellite Imagery
- Contrastive-Based Deep Embeddings for Label Noise-Resilient Histopathology Image Classification
- GLID: Pre-training a Generalist Encoder-Decoder Vision Model
- Attention based End to end network for Offline Writer Identification on Word level data
- Weakly-Supervised Learning via Multi-Lateral Decoder Branching for Tool Segmentation in Robot-Assisted Cardiovascular Catheterization
- Diffusion posterior sampling for simulation-based inference in tall data settings
- UltraEval: A Lightweight Platform for Flexible and Comprehensive Evaluation for LLMs
- Multi-rater Prompting for Ambiguous Medical Image Segmentation
- Generating Comprehensive Lithium Battery Charging Data with Generative AI
- An Effective Automated Speaking Assessment Approach to Mitigating Data Scarcity and Imbalanced Distribution
- Can Vehicle Motion Planning Generalize to Realistic Long-tail Scenarios?
- ObjBlur: A Curriculum Learning Approach With Progressive Object-Level Blurring for Improved Layout-to-Image Generation
- Socially Pertinent Robots in Gerontological Healthcare
- Attention-Aware Laparoscopic Image Desmoking Network with Lightness Embedding and Hybrid Guided Embedding
- SFSORT: Scene Features-based Simple Online Real-Time Tracker
- Event-Enhanced Snapshot Compressive Videography at 10K FPS
- Stereo-LiDAR Depth Estimation with Deformable Propagation and Learned Disparity-Depth Conversion
- From Words to Numbers: Your Large Language Model Is Secretly A Capable Regressor When Given In-Context Examples
- Content-Adaptive Non-Local Convolution for Remote Sensing Pansharpening
- How is Visual Attention Influenced by Text Guidance? Database and Model
- Exploring the Decentraland Economy: Multifaceted Parcel Attributes, Key Insights, and Benchmarking
- Bayesian Federated Model Compression for Communication and Computation Efficiency
- GNN-based Probabilistic Supply and Inventory Predictions in Supply Chain Networks
- LATTE: Low-Precision Approximate Attention with Head-wise Trainable Threshold for Efficient Transformer
- Remembering Transformer for Continual Learning
- Generalization Gap in Data Augmentation: Insights from Illumination
- Generative Probabilistic Planning for Optimizing Supply Chain Networks
- Learning to Classify New Foods Incrementally Via Compressed Exemplars
- Mitigating Object Dependencies: Improving Point Cloud Self-Supervised Learning through Object Exchange
- Generating Counterfactual Explanations Using Cardinality Constraints
- Leveraging Data Augmentation for Process Information Extraction
- Interactive Prompt Debugging with Sequence Salience
- PillarTrack:Boosting Pillar Representation for Transformer-based 3D Single Object Tracking on Point Clouds
- Characterizing the Influence of Topology on Graph Learning Tasks
- Fine-Grained Side Information Guided Dual-Prompts for Zero-Shot Skeleton Action Recognition
- Multimodal Emotion Recognition by Fusing Video Semantic in MOOC Learning Scenarios
- Laissez-Faire Harms: Algorithmic Biases in Generative Language Models
- G-NeRF: Geometry-enhanced Novel View Synthesis from Single-View Images
- LUCF-Net: Lightweight U-shaped Cascade Fusion Network for Medical Image Segmentation
- Structure-aware Fine-tuning for Code Pre-trained Models
- Scalable Language Model with Generalized Continual Learning
- Trashbusters: Deep Learning Approach for Litter Detection and Tracking
- An Audit on the Perspectives and Challenges of Hallucinations in NLP
- Representation Learning of Tangled Key-Value Sequence Data for Early Classification
- RiskLabs: Predicting Financial Risk Using Large Language Model based on Multimodal and Multi-Sources Data
- Graph Attention Network for Lane-Wise and Topology-Invariant Intersection Traffic Simulation
- Multi-view Aggregation Network for Dichotomous Image Segmentation
- 1-bit Quantized On-chip Hybrid Diffraction Neural Network Enabled by Authentic All-optical Fully-connected Architecture
- Encoding Urban Ecologies: Automated Building Archetype Generation through Self-Supervised Learning for Energy Modeling
- Data-Driven Portfolio Management for Motion Pictures Industry: A New Data-Driven Optimization Methodology Using a Large Language Model as the Expert
- CopilotCAD: Empowering Radiologists with Report Completion Models and Quantitative Evidence from Medical Image Foundation Models
- Improving Shift Invariance in Convolutional Neural Networks with Translation Invariant Polyphase Sampling
- Simplifying Two-Stage Detectors for On-Device Inference in Remote Sensing
- Post-hurricane building damage assessment using street-view imagery and structured data: A multi-modal deep learning approach
- Can Base ChatGPT be Used for Forecasting without Additional Optimization?
- Global versus Local: Evaluating AlexNet Architectures for Tropical Cyclone Intensity Estimation