Papers
Sun 12 Jan 2025
122 papers
- Learning Implicit Social Navigation Behavior using Deep Inverse Reinforcement LearningOffline RL and imitation learning from data → Social robot navigation +1
- An Empirical Study of Deep Reinforcement Learning in Continuing TasksDeep reinforcement learning methods → Deep RL algorithms and representations
- Semiparametric Double Reinforcement Learning with Applications to Long-Term Causal InferenceDeep reinforcement learning methods → RL theory and sample complexity
- Transforming Vision Transformer: Towards Efficient Multi-Task Asynchronous LearningMixture-of-experts → Vision mixture-of-experts
- A General Framework for Inference-time Scaling and Steering of Diffusion ModelsLLM reasoning → Diffusion reasoning and test-time scaling +1
- LLMs Model Non-WEIRD Populations: Experiments with Synthetic Cultural AgentsLLM agents and tool use → Social simulation and multi-agent debate
- GeoPix: Multi-Modal Large Language Model for Pixel-level Image Understanding in Remote SensingMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Eliza: A Web3 friendly AI Agent Operating SystemLLM agents and tool use → General LLM agent frameworks and benchmarks
- Pareto Set Learning for Multi-Objective Reinforcement LearningDeep reinforcement learning methods → RL for games and combinatorial optimization
- ODPG: Outfitting Diffusion with Pose Guided ConditionDiffusion models → 3D, point cloud and scene generation
- VidChain: Chain-of-Tasks with Metric-based Direct Preference Optimization for Dense Video CaptioningLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
- Padding Tone: A Mechanistic Analysis of Padding Tokens in T2I ModelsDiffusion models → Image generation, text-to-image and editing
- Hierarchical Divide-and-Conquer for Fine-Grained Alignment in LLM-Based Medical EvaluationLLM alignment / RLHF / preference optimisation → Medical LLM alignment
- Better Prompt Compression Without Multi-Layer PerceptronsEfficient LLM inference and serving → Prompt and context compression
- DRDT3: Diffusion-Refined Decision Test-Time Training ModelDiffusion models → Diffusion and flow policies for robotics +2
- ZNO-Eval: Benchmarking reasoning capabilities of large language models in UkrainianLLM reasoning → Reasoning benchmarks and evaluation
- MiniRAG: Towards Extremely Simple Retrieval-Augmented GenerationRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- Mell: Memory-Efficient Large Language Model Serving via Multi-GPU KV Cache ManagementEfficient LLM inference and serving → Serving systems and request scheduling
- AIOpsLab: A Holistic Framework to Evaluate AI Agents for Enabling Autonomous CloudsLLM agents and tool use → Software engineering coding agents
- Average Reward Reinforcement Learning for Wireless Radio Resource ManagementDeep reinforcement learning methods → RL for energy, networks and operations
- Mamba-MOC: A Multicategory Remote Object Counting via State Space ModelState-space sequence models (S4, Mamba) → Vision Mamba backbones
- DVM: Towards Controllable LLM Agents in Social Deduction GamesLLM agents and tool use → Reinforcement learning for LLM agents
- Modeling Neural Networks with Privacy Using Neural Stochastic Differential EquationsLLM safety and security → Membership inference attacks
- Application of Vision-Language Model to Pedestrians Behavior and Scene Understanding in Autonomous DrivingMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection +2
- Robust Hybrid Classical-Quantum Transfer Learning Model for Text Classification Using GPT-Neo 125M with LoRA & SMOTE Enhancement
- Enhancing Data Integrity through Provenance Tracking in Semantic Web Frameworks
- SCOT: Self-Supervised Contrastive Pretraining For Zero-Shot Compositional Retrieval
- Kolmogorov-Arnold Networks and Evolutionary Game Theory for More Personalized Cancer Treatment
- Monotone Curve Estimation via Convex Duality
- Doubly Robust Inference on Causal Derivative Effects for Continuous Treatments
- Kolmogorov-Arnold Recurrent Network for Short Term Load Forecasting Across Diverse Consumers
- Enhancing Patient-Centric Communication: Leveraging LLMs to Simulate Patient Perspectives
- Generative Artificial Intelligence-Supported Pentesting: A Comparison between Claude Opus, GPT-4, and Copilot
- Compact Bayesian Neural Networks via pruned MCMC sampling
- Sanidha: A Studio Quality Multi-Modal Dataset for Carnatic Music
- Patent Novelty Assessment Accelerating Innovation and Patent Prosecution
- A Hessian-informed hyperparameter optimization for differential learning rate
- The Einstein Test: Towards a Practical Test of a Machine's Ability to Exhibit Superintelligence
- Comparison of Autoencoders for tokenization of ASL datasets
- Super-Resolution of 3D Micro-CT Images Using Generative Adversarial Networks: Enhancing Resolution and Segmentation Accuracy
- Evaluating unsupervised contrastive learning framework for MRI sequences classification
- A group-theoretic framework for machine learning in hyperbolic spaces
- Neural equilibria for long-term prediction of nonlinear conservation laws
- Harnessing Large Language Models for Disaster Management: A Survey
- Why are we living the age of AI applications right now? The long innovation path from AI's birth to a child's bedtime magic
- CULTURE3D: A Large-Scale and Diverse Dataset of Cultural Landmarks and Terrains for Gaussian-Based Scene Rendering
- A Hybrid Virtual Element Method and Deep Learning Approach for Solving One-Dimensional Euler-Bernoulli Beams
- Optimal Online Bookmaking for Binary Games
- Benchmarking YOLOv8 for Optimal Crack Detection in Civil Infrastructure
- Driver Age and Its Effect on Key Driving Metrics: Insights from Dynamic Vehicle Data
- Filtering out mislabeled training instances using black-box optimization and quantum annealing
- Risk-Averse Finetuning of Large Language Models
- Local Foreground Selection aware Attentive Feature Reconstruction for few-shot fine-grained plant species classification
- Deep Learning and Foundation Models for Weather Prediction: A Survey
- Synthetic Prior for Few-Shot Drivable Head Avatar Inversion
- ActiveGAMER: Active GAussian Mapping through Efficient Rendering
- Introduction to the Usage of Open Data from the Large Hadron Collider for Computer Scientists in the Context of Machine Learning
- Language Fusion for Parameter-Efficient Cross-lingual Transfer
- MedGrad E-CLIP: Enhancing Trust and Transparency in AI-Driven Skin Lesion Diagnosis
- Real-Time Neural-Enhancement for Online Cloud Gaming
- Defect Detection Network In PCB Circuit Devices Based on GAN Enhanced YOLOv11
- Uncertainty-Aware Online Extrinsic Calibration: A Conformal Prediction Approach
- Causal Claims in Economics
- A Foundational Generative Model for Breast Ultrasound Image Analysis
- Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age
- Transfer Learning of Tabular Data by Finetuning Large Language Models
- LarvSeg: Exploring Image Classification Data For Large Vocabulary Semantic Segmentation via Category-wise Attentive Classifier
- Integrators at War: Mediating in AI-assisted Resort-to-Force Decisions
- A Comprehensive Evaluation of Large Language Models on Mental Illnesses in Arabic Context
- A Counterfactual Cause in Situation Calculus
- SPAM: Spike-Aware Adam with Momentum Reset for Stable LLM Training
- Faithful Counterfactual Visual Explanations (FCVE)
- Generalized and Efficient 2D Gaussian Splatting for Arbitrary-scale Super-Resolution
- An efficient approach to represent enterprise web application structure using Large Language Model in the service of Intelligent Quality Engineering
- SAM-DA: Decoder Adapter for Efficient Medical Domain Adaptation
- X-LeBench: A Benchmark for Extremely Long Egocentric Video Understanding
- A novel multi-agent dynamic portfolio optimization learning system based on hierarchical deep reinforcement learning
- Towards Counterfactual and Contrastive Explainability and Transparency of DCNN Image Classifiers
- Leveraging Taxonomy and LLMs for Improved Multimodal Hierarchical Classification
- Aligning NLP Models with Target Population Perspectives using PAIR: Population-Aligned Instance Replication
- Event Argument Extraction with Enriched Prompts
- MEXA-CTP: Mode Experts Cross-Attention for Clinical Trial Outcome Prediction
- A Study on Educational Data Analysis and Personalized Feedback Report Generation Based on Tags and ChatGPT
- UR2P-Dehaze: Learning a Simple Image Dehaze Enhancer via Unpaired Rich Physical Prior
- Improving Cross-Lingual Phonetic Representation of Low-Resource Languages Through Language Similarity Analysis
- RSRefSeg: Referring Remote Sensing Image Segmentation with Foundation Models
- Semantic-CD: Remote Sensing Image Semantic Change Detection towards Open-vocabulary Setting
- A Pan-cancer Classification Model using Multi-view Feature Selection Method and Ensemble Classifier
- Unifying Two Types of Scaling Laws from the Perspective of Conditional Kolmogorov Complexity
- Bridging the Fairness Gap: Enhancing Pre-trained Models with LLM-Generated Sentences
- Improving Pain Classification using Spatio-Temporal Deep Learning Approaches with Facial Expressions
- Temporal-Aware Spiking Transformer Hashing Based on 3D-DWT
- 3DCoMPaT200: Language-Grounded Compositional Understanding of Parts and Materials of 3D Shapes
- Cost-Effective Robotic Handwriting System with AI Integration
- COMPASS: A Compiler Framework for Resource-Constrained Crossbar-Array Based In-Memory Deep Learning Accelerators
- Identification and Estimation of Simultaneous Equation Models Using Higher-Order Cumulant Restrictions
- Hierarchy-Boosted Funnel Learning for Identifying Semiconductors with Ultralow Lattice Thermal Conductivity
- SuperNeRF-GAN: A Universal 3D-Consistent Super-Resolution Framework for Efficient and Enhanced 3D-Aware Image Synthesis
- On the Complexity of Global Necessary Reasons to Explain Classification
- MTPareto: A MultiModal Targeted Pareto Framework for Fake News Detection
All 122
- Improving the adaptive and continuous learning capabilities of artificial neural networks: Lessons from multi-neuromodulatory dynamics
- Procedural Fairness and Its Relationship with Distributive Fairness in Machine Learning
- Static Segmentation by Tracking: A Label-Efficient Approach for Fine-Grained Specimen Image Segmentation
- Diversified Augmentation with Domain Adaptation for Debiased Video Temporal Grounding
- Rice Leaf Disease Detection: A Comparative Study Between CNN, Transformer and Non-neural Network Architectures
- ZOQO: Zero-Order Quantized Optimization
- Measuring the Robustness of Reference-Free Dialogue Evaluation Systems
- Wavelet Integrated Convolutional Neural Network for ECG Signal Denoising
- Multi-Label Scene Classification in Remote Sensing Benefits from Image Super-Resolution
- F3D-Gaus: Feed-forward 3D-aware Generation on ImageNet with Cycle-Aggregative Gaussian Splatting
- Multi-task Visual Grounding with Coarse-to-Fine Consistency Constraints
- Evaluating Sample Utility for Efficient Data Selection by Mimicking Model Weights
- ELIZA Reanimated: The world's first chatbot restored on the world's first time sharing system
- Fine-tuning ChatGPT for Automatic Scoring of Written Scientific Explanations in Chinese
- Sequential Portfolio Selection under Latent Side Information-Dependence Structure: Optimality and Universal Learning Algorithms
- Large Language Models, Knowledge Graphs and Search Engines: A Crossroads for Answering Users' Questions
- Vid2Sim: Realistic and Interactive Simulation from Video for Urban Navigation
- PGP-SAM: Prototype-Guided Prompt Learning for Efficient Few-Shot Medical Image Segmentation
- TAPO: Task-Referenced Adaptation for Prompt Optimization
- Tab-Shapley: Identifying Top-k Tabular Data Quality Insights
- Generative AI in Education: From Foundational Insights to the Socratic Playground for Learning
- Imbalanced Medical Image Segmentation with Pixel-dependent Noisy Labels