Papers
Sun 24 Nov 2024
146 papers
- Evolution of Thought: Diverse and High-Quality Reasoning via Multi-Objective OptimizationLLM reasoning → Test-time compute and efficient thinking +1
- Reinforcement learning-enhanced genetic algorithm for wind farm layout optimizationDeep reinforcement learning methods → RL for energy, networks and operations
- Improving Medical Diagnostics with Vision-Language Models: Convex Hull-Based Uncertainty AnalysisMultimodal LLMs / vision-language models → Medical vision-language models
- Chameleon: Adaptive Caching and Scheduling for Many-Adapter LLM Inference EnvironmentsEfficient LLM inference and serving → Serving systems and request scheduling
- Is 'Right' Right? Enhancing Object Orientation Understanding in Multimodal Large Language Models through Egocentric Instruction TuningMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- AnySynth: Harnessing the Power of Image Synthetic Data Generation for Generalized Vision-Language TasksDiffusion models → Image generation, text-to-image and editing +1
- Multimodal Diffusion Transformer with Memory Bank for Scalable Long-Duration Talking Video GenerationDiffusion models → Audio, speech and music
- eFedLLM: Efficient LLM Inference Based on Federated LearningEfficient LLM inference and serving → Serving systems and request scheduling
- Exploring Performance Contrasts in TableQA: Step-by-Step Reasoning Boosts Bigger Language Models, Limits Smaller Language ModelsLLM reasoning → Knowledge- and tool-augmented reasoning
- PIANIST: Learning Partially Observable World Models with LLMs for Multi-Agent Decision MakingWorld models → World models for language agents +1
- Anda: Unlocking Efficient LLM Inference with a Variable-Length Grouped Activation Data FormatEfficient LLM inference and serving → KV cache quantization
- Gaussian Scenes: Pose-Free Sparse-View Scene Reconstruction using Depth-Enhanced Diffusion PriorsDiffusion models → 3D, point cloud and scene generation
- Partial Identifiability and Misspecification in Inverse Reinforcement LearningOffline RL and imitation learning from data → Inverse reinforcement learning +1
- MobileMamba: Lightweight Multi-Receptive Visual Mamba NetworkState-space sequence models (S4, Mamba) → Vision Mamba backbones
- Repurposing Image Diffusion Models for Training-Free Music Style Transfer on Mel-spectrogramsDiffusion models → Audio, speech and music
- From Laws to Motivation: Guiding Exploration through Law-Based Reasoning and RewardsLLM reasoning → Reinforcement learning for reasoning
- Hiding Communication Cost in Distributed LLM Training via Micro-batch Co-executionMixture-of-experts → Efficient MoE training and inference systems
- Self-Calibrated CLIP for Training-Free Open-Vocabulary SegmentationMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Do LLMs Really Think Step-by-step In Implicit Reasoning?LLM reasoning → Prompting and chain-of-thought reasoning
- ResCLIP: Residual Attention for Training-free Dense Vision-language InferenceMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- VaLiD: Mitigating the Hallucination of Large Vision Language Models by Visual Layer Fusion Contrastive DecodingMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- Broad Critic Deep Actor Reinforcement Learning for Continuous ControlDeep reinforcement learning methods → RL theory and sample complexity
- A Method for Building Large Language Models with Predefined KV Cache CapacityEfficient LLM inference and serving → KV cache optimization
- MambaTrack: Exploiting Dual-Enhancement for Night UAV TrackingState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
- Test-time Alignment-Enhanced Adapter for Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- DynamicAvatars: Accurate Dynamic Facial Avatars Reconstruction and Precise Editing with Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
- Chain of Attack: On the Robustness of Vision-Language Models Against Transfer-Based Adversarial AttacksMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- Comparative Analysis of Diffusion Generative Models in Computational PathologyDiffusion models → Medical imaging and segmentation
- ROOT: VLM based System for Indoor Scene Understanding and BeyondMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- LLaMA-MoE v2: Exploring Sparsity of LLaMA from Perspective of Mixture-of-Experts with Post-TrainingMixture-of-experts → MoE large language models
- RAMIE: Retrieval-Augmented Multi-task Information Extraction with Large Language Models on Dietary SupplementsRetrieval-augmented generation → Medical and biomedical RAG
- DrugAgent: Automating AI-aided Drug Discovery Programming through LLM Multi-Agent CollaborationLLM agents and tool use → Medical and scientific domain agents
- Revisiting Your Memory: Reconstruction of Affect-Contextualized Memory via EEG-guided Audiovisual Generation
- Uncertainty-Aware Regularization for Image-to-Image Translation
- High-precision medical speech recognition through synthetic data and semantic correction: UNITED-MEDASR
- Less is More: Efficient Model Merging with Binary Task Switch
- LeMoLE: LLM-Enhanced Mixture of Linear Experts for Time Series Forecasting
- Brick Kiln Dataset for Pakistan's IGP Region Using AI
- TransFair: Transferring Fairness from Ocular Disease Classification to Progression Prediction
- Mapping waterways worldwide with deep learning
- A Survey of Recent Advances and Challenges in Deep Audio-Visual Correlation Learning
- Advancing Uncertain Combinatorics through Graphization, Hyperization, and Uncertainization: Fuzzy, Neutrosophic, Soft, Rough, and Beyond
- Hide in Plain Sight: Clean-Label Backdoor for Auditing Membership Inference
- LibraGrad: Balancing Gradient Flow for Universally Better Vision Transformer Attributions
- Motion-Aware Animatable Gaussian Avatars Deblurring
- FunGrasp: Functional Grasping for Diverse Dexterous Hands
- The Visual Counter Turing Test (VCT2): A Benchmark for Evaluating AI-Generated Image Detection and the Visual AI Index (VAI)
- Imagine and Seek: Improving Composed Image Retrieval with an Imagined Proxy
- An investigation into the performances of the Current state-of-the-art Naive Bayes, Non-Bayesian and Deep Learning Based Classifier for Phishing Detection: A Survey
- Iris: Integrating Language into Diffusion-based Monocular Depth Estimation
- Peritumoral Expansion Radiomics for Improved Lung Cancer Classification
- Performance Implications of Multi-Chiplet Neural Processing Units on Autonomous Driving Perception
- Multi-ToM: Evaluating Multilingual Theory of Mind Capabilities in Large Language Models
- Ensuring Fair LLM Serving Amid Diverse Applications
- Investigating Factuality in Long-Form Text Generation: The Roles of Self-Known and Self-Unknown
- Kleene algebra with commutativity conditions is undecidable
- DRIVE: Dual-Robustness via Information Variability and Entropic Consistency in Source-Free Unsupervised Domain Adaptation
- Stability properties of gradient flow dynamics for the symmetric low-rank matrix factorization problem
- Advancing Transformative Education: Generative AI as a Catalyst for Equity and Innovation
- CNNs for Style Transfer of Digital to Film Photography
- Adaptive Methods through the Lens of SDEs: Theoretical Insights on the Role of Noise
- Understanding Machine Learning Paradigms through the Lens of Statistical Thermodynamics: A tutorial
- Customer Lifetime Value Prediction with Uncertainty Estimation Using Monte Carlo Dropout
- Cross-organ Deployment of EOS Detection AI without Retraining: Feasibility and Limitation
- Bringing the Context Back into Object Recognition, Robustly
- Improving Pre-trained Self-Supervised Embeddings Through Effective Entropy Maximization
- Generative Prompt Internalization
- Making Images from Images: Interleaving Denoising and Transformation
- Deep Learning for automated multi-scale functional field boundaries extraction using multi-date Sentinel-2 and PlanetScope imagery: Case Study of Netherlands and Pakistan
- PromptHSI: Universal Hyperspectral Image Restoration with Vision-Language Modulated Frequency Adaptation
- A Tunable Despeckling Neural Network Stabilized via Diffusion Equation
- An AutoML-based approach for Network Intrusion Detection
- Enhancing Symbolic Regression and Universal Physics-Informed Neural Networks with Dimensional Analysis
- Selective Inference for Time-Varying Moderated Effects
- Bimanual Grasp Synthesis for Dexterous Robot Hands
- Highly Efficient and Unsupervised Framework for Moving Object Detection in Satellite Videos
- Navigating the Effect of Parametrization for Dimensionality Reduction
- Distribution-aware Online Continual Learning for Urban Spatio-Temporal Forecasting
- Evaluating Large Language Models for Causal Modeling
- Optimization-Driven Statistical Models of Anatomies using Radial Basis Function Shape Representation
- ExAL: An Exploration Enhanced Adversarial Learning Algorithm
- DUA-D2C: Dynamic Uncertainty Aware Method for Overfitting Remediation in Deep Learning
- Optimizing Brain Tumor Segmentation with MedNeXt: BraTS 2024 SSA and Pediatrics
- PanoLlama: Generating Endless and Coherent Panoramas with Next-Token-Prediction LLMs
- Ruppert-Polyak averaging for Stochastic Order Oracle
- Generalizable Single-view Object Pose Estimation by Two-side Generating and Matching
- SVTRv2: CTC Beats Encoder-Decoder Models in Scene Text Recognition
- FedQP: Towards Accurate Federated Learning using Quadratic Programming Guided Mutation
- Unveiling the Superior Paradigm: A Comparative Study of Source-Free Domain Adaptation and Unsupervised Domain Adaptation
- Unveil Inversion and Invariance in Flow Transformer for Versatile Image Editing
- Modality Alignment Meets Federated Broadcasting
- Creating Scalable AGI: the Open General Intelligence Framework
- Efficient and Private: Memorisation under differentially private parameter-efficient fine-tuning in language models
- Expert-elicitation method for non-parametric joint priors using normalizing flows
- Variable-size Symmetry-based Graph Fourier Transforms for image compression
- Is Training Data Quality or Quantity More Impactful to Small Language Model Performance?
- Lattice φ4 field theory as a multi-agent system of financial markets
- FastTrackTr:Towards Fast Multi-Object Tracking with Transformers
- A Novel Data Augmentation Tool for Enhancing Machine Learning Classification: A New Application of the Higher Order Dynamic Mode Decomposition for Improved Cardiac Disease Identification
- LRSAA: Large-scale Remote Sensing Image Target Recognition and Automatic Annotation
All 146
- Benchmarking Active Learning for NILM
- LoRA-Mini : Adaptation Matrices Decomposition and Selective Training
- Medical Slice Transformer: Improved Diagnosis and Explainability on 3D Medical Images with DINOv2
- A review on Machine Learning based User-Centric Multimedia Streaming Techniques
- PG-SLAM: Photo-realistic and Geometry-aware RGB-D SLAM in Dynamic Environments
- Symmetric Perception and Ordinal Regression for Detecting Scoliosis Natural Image
- M3-CVC: Controllable Video Compression with Multimodal Generative Models
- Data Lineage Inference: Uncovering Privacy Vulnerabilities of Dataset Pruning
- Beyond adaptive gradient: Fast-Controlled Minibatch Algorithm for large-scale optimization
- Multi-Token Enhancing for Vision Representation Learning
- ZeroGS: Training 3D Gaussian Splatting from Unposed Images
- Enhancing the automatic segmentation and analysis of 3D liver vasculature models
- Context-Aware Detection of Mixed Critical Events using Video Classification
- Corner2Net: Detecting Objects as Cascade Corners
- Text-Guided Coarse-to-Fine Fusion Network for Robust Remote Sensing Visual Question Answering
- Gradient Norm Regularization Second-Order Algorithms for Solving Nonconvex-Strongly Concave Minimax Problems
- Detecting Turkish Synonyms Used in Different Time Periods
- LLM Online Spatial-temporal Signal Reconstruction Under Noise
- Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation
- Advanced Learning-Based Inter Prediction for Future Video Coding
- Decoding Urban Industrial Complexity: Enhancing Knowledge-Driven Insights via IndustryScopeGPT
- PR-MIM: Delving Deeper into Partial Reconstruction in Masked Image Modeling
- Beyond Data Scarcity: A Frequency-Driven Framework for Zero-Shot Forecasting
- PEnG: Pose-Enhanced Geo-Localisation
- Proceedings of the 6th International Workshop on Reading Music Systems
- LTCF-Net: A Transformer-Enhanced Dual-Channel Fourier Framework for Low-Light Image Restoration
- AnyEdit: Mastering Unified High-Quality Image Editing for Any Idea
- TableTime: Reformulating Time Series Classification as Training-Free Table Understanding with Large Language Models
- Enhancing Few-Shot Out-of-Distribution Detection with Gradient Aligned Context Optimization
- Development of Pre-Trained Transformer-based Models for the Nepali Language
- Fusion Matters: Learning Fusion in Deep Click-through Rate Prediction Models
- OccludeNet: A Causal Journey into Mixed-View Actor-Centric Video Action Recognition under Occlusions
- GSurf: Learning Signed Distance Fields from Splatting Opaque Gaussians for High-quality 3D Reconstruction
- Research on Effectiveness Evaluation and Optimization of Baseball Teaching Method Based on Machine Learning
- Learning Algorithm Hyperparameters for Fast Parametric Convex Optimization
- Tackling Data Heterogeneity in Federated Time Series Forecasting
- Understanding Student Acceptance, Trust, and Attitudes Toward AI-Generated Images for Educational Purposes
- Nimbus: Secure and Efficient Two-Party Inference for Transformers
- Fixing the Perspective: A Critical Examination of Zero-1-to-3
- Editable-DeepSC: Reliable Cross-Modal Semantic Communications for Facial Editing
- Deep Sparse Latent Feature Models for Knowledge Graph Completion
- State-Space Large Audio Language Models
- Disentangling the Complex Multiplexed DIA Spectra in De Novo Peptide Sequencing
- Towards RAW Object Detection in Diverse Conditions
- Can a Large Language Model Learn Matrix Functions In Context?
- Quantile deep learning models for multi-step ahead time series prediction