Papers
Mon 12 Aug 2024
215 papers
- SkillMimic: Learning Basketball Interaction Skills from DemonstrationsDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Audit-LLM: Multi-Agent Collaboration for Log-based Insider Threat DetectionLLM agents and tool use → Agent threats, guardrails and governance
- Bayesian inference to improve quality of Retrieval Augmented GenerationRetrieval-augmented generation → RAG robustness and adaptive retrieval
- A Unified Manifold Similarity Measure Enhancing Few-Shot, Transfer, and Reinforcement Learning in Manifold-Distributed DatasetsDeep reinforcement learning methods → Deep RL algorithms and representations
- Rethinking the Alignment of Psychotherapy Dialogue Generation with Motivational Interviewing StrategiesLLM reasoning → Clinical and biomedical applications
- Retrieval-Augmented Hierarchical in-Context Reinforcement Learning and Hindsight Modular Reflections for Task Planning with LLMsRetrieval-augmented generation → Agentic RAG, agents and memory
- Music2Latent: Consistency Autoencoders for Latent Audio CompressionDiffusion models → Audio, speech and music
- Towards Autonomous Agents: Adaptive-planning, Reasoning, and Acting in Language ModelsLLM reasoning → Reasoning for agents, planning and code +1
- MetMamba: Regional Weather Forecasting with Spatial-Temporal Mamba ModelState-space sequence models (S4, Mamba) → Time series forecasting with SSMs
- VisualAgentBench: Towards Large Multimodal Models as Visual Foundation AgentsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Can We Rely on LLM Agents to Draft Long-Horizon Plans? Let's Take TravelPlanner as an ExampleLLM agents and tool use → General LLM agent frameworks and benchmarks
- Long-Form Answers to Visual Questions from Blind and Low Vision PeopleMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Mambular: A Sequential Model for Tabular Deep LearningState-space sequence models (S4, Mamba) → Core SSM architectures for language
- Review-driven Personalized Preference Reasoning with Large Language Models for RecommendationLLM reasoning → LLM reasoning for recommendation
- Anchored Preference Optimization and Contrastive Revisions: Addressing Underspecification in AlignmentLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Stable-BC: Controlling Covariate Shift with Stable Behavior CloningOffline RL and imitation learning from data → Imitation learning methods
- On Effects of Steering Latent Representation for Large Language Model UnlearningLLM safety and security → Machine unlearning
- Mutual Reasoning Makes Smaller LLMs Stronger Problem-SolversLLM reasoning → Reasoning benchmarks and evaluation
- OmniCLIP: Adapting CLIP for Video Recognition with Spatial-Temporal Omni-Scale Feature LearningMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Efficient and Scalable Point Cloud Generation with Sparse Point-Voxel Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
- Sequential sampling without comparison to boundary through model-free reinforcement learningDeep reinforcement learning methods → Deep RL algorithms and representations
- CogVideoX: Text-to-Video Diffusion Models with An Expert TransformerWorld models → Video-generation world models and simulators +1
- ControlNeXt: Powerful and Efficient Control for Image and Video GenerationDiffusion models → Image generation, text-to-image and editing
- Online Optimization of Curriculum Learning Schedules using Evolutionary OptimizationDeep reinforcement learning methods → Deep RL algorithms and representations
- TruVRF: Towards Triple-Granularity Verification on Machine UnlearningLLM safety and security → Machine unlearning
- BooW-VTON: Boosting In-the-Wild Virtual Try-On via Mask-Free Pseudo Data TrainingDiffusion models → 3D, point cloud and scene generation
- Diffuse-UDA: Addressing Unsupervised Domain Adaptation in Medical Image Segmentation with Appearance and Structure Aligned Diffusion ModelsDiffusion models → Medical imaging and segmentation
- Nob-MIAs: Non-biased Membership Inference Attacks Assessment on Large Language Models with Ex-Post Dataset ConstructionLLM safety and security → Membership inference attacks
- Optimizing Vision Transformers with Data-Free Knowledge TransferKnowledge distillation → General knowledge distillation methods
- Optimizing RAG Techniques for Automotive Industry PDF Chatbots: A Case Study with Locally Deployed Ollama ModelsRetrieval-augmented generation → RAG pipeline design and evaluation
- A Simple Early Exiting Framework for Accelerated Sampling in Diffusion ModelsDiffusion models → Diffusion foundations and sampling +1
- Space-LLaVA: a Vision-Language Model Adapted to Extraterrestrial ApplicationsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Classifier Guidance Enhances Diffusion-based Adversarial Purification by Preserving Predictive InformationDiffusion models → Robustness, privacy and adversarial aspects
- GlyphPattern: An Abstract Pattern Recognition Benchmark for Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- GFlowNet Training by Policy GradientsDeep reinforcement learning methods → RL with diffusion and flow models
- Artificial Neural Network and Deep Learning: Fundamentals and Theory
- Estimating ECG Intervals from Lead-I Alone: External Validation of Supervised Models
- Anomaly Detection in Time Series of EDFA Pump Currents to Monitor Degeneration Processes using Fuzzy Clustering
- Physics-Informed Machine Learning for Grade Prediction in Froth Flotation
- RISE-iEEG: Robust to Inter-Subject Electrodes Implantation Variability iEEG Classifier
- Semantic Variational Bayes Based on Semantic Information G Theory for Solving Latent Variables
- StringNET: Neural Network based Variational Method for Transition Pathways
- Prompto: An open source library for asynchronous querying of LLM endpoints
- Density Matrices for Metaphor Understanding
- Statistical Patterns in the Equations of Physics and the Emergence of a Meta-Law of Nature
- Large Investment Model
- PATopics: An automatic framework to extract useful information from pharmaceutical patents documents
- Unleashing The Power of Pre-Trained Language Models for Irregularly Sampled Time Series
- Speech vs. Transcript: Does It Matter for Human Annotators in Speech Summarization?
- Pattern-Matching Dynamic Memory Network for Dual-Mode Traffic Prediction
- Bearing Fault Diagnosis using Graph Sampling and Aggregation Network
- QTypeMix: Enhancing Multi-Agent Cooperative Strategies through Heterogeneous and Homogeneous Value Decomposition
- Attention Please: What Transformer Models Really Learn for Process Prediction
- Overcoming Imbalanced Safety Data Using Extended Accident Triangle
- Source Separation of Multi-source Raw Music using a Residual Quantized Variational Autoencoder
- Operator Learning Using Random Features: A Tool for Scientific Computing
- Note on computational complexity of the Gromov-Wasserstein distance
- From Graphs to Qubits: A Critical Review of Quantum Graph Neural Networks
- Does Liking Yellow Imply Driving a School Bus? Semantic Leakage in Language Models
- Learned Ranking Function: From Short-term Behavior Predictions to Long-term User Satisfaction
- Fooling SHAP with Output Shuffling Attacks
- Benchmarking tree species classification from proximally-sensed laser scanning data: introducing the FOR-species20K dataset
- Enhancing Heterogeneous Multi-Agent Cooperation in Decentralized MARL via GNN-driven Intrinsic Rewards
- Prompt Recovery for Image Generation Models: A Comparative Study of Discrete Optimizers
- What Color Scheme is More Effective in Assisting Readers to Locate Information in a Color-Coded Article?
- Implicit Neural Representation For Accurate CFD Flow Field Prediction
- Cross-Lingual Conversational Speech Summarization with Large Language Models
- TOGGL: Transcribing Overlapping Speech with Staggered Labeling
- Generalization Enhancement Strategies to Enable Cross-year Cropland Mapping with Convolutional Neural Networks Trained Using Historical Samples
- Kernel Sum of Squares for Data Adapted Kernel Learning of Dynamical Systems from Data: A global optimization approach
- Causal Graph Aided Causal Discovery in an Observational Aneurysmal Subarachnoid Hemorrhage Study
- InfLocNet: Enhanced Lung Infection Localization and Disease Detection from Chest X-Ray Images Using Lightweight Deep Learning
- Advanced Vision Transformers and Open-Set Learning for Robust Mosquito Classification: A Novel Approach to Entomological Studies
- Wireless Channel Aware Data Augmentation Methods for Deep Learning-Based Indoor Localization
- Evaluating Language Models for Efficient Code Generation
- S-SAM: SVD-based Fine-Tuning of Segment Anything Model for Medical Image Segmentation
- Multi-View Neural Differential Equations for Continuous-Time Stream Data in Long-Term Traffic Forecasting
- HAT: History-Augmented Anchor Transformer for Online Temporal Action Localization
- Wavelet based inpainting detection
- Bayesian Learning in a Nonlinear Multiscale State-Space Model
- Evaluating LLMs on Entity Disambiguation in Tables
- Neural Networks as Spin Models: From Glass to Hidden Order Through Training
- From Diagnostic CT to DTI Tractography labels: Using Deep Learning for Corticospinal Tract Injury Assessment and Outcome Prediction in Intracerebral Haemorrhage
- PhaGO: Protein function annotation for bacteriophages by integrating the genomic context
- Langevin dynamics for high-dimensional optimization: the case of multi-spiked tensor PCA
- Synthetic Photography Detection: A Visual Guidance for Identifying Synthetic Images Created by AI
- Distributed Stackelberg Strategies in State-based Potential Games for Autonomous Decentralized Learning Manufacturing Systems
- Design Proteins Using Large Language Models: Enhancements and Comparative Analyses
- Fast John Ellipsoid Computation with Differential Privacy Optimization
- Moo-ving Beyond Tradition: Revolutionizing Cattle Behavioural Phenotyping with Pose Estimation Techniques
- LOLgorithm: Integrating Semantic,Syntactic and Contextual Elements for Humor Classification
- FastFiD: Improve Inference Efficiency of Open Domain Question Answering via Sentence Selection
- Animate, or Inanimate, That is the Question for Large Language Models
- HeLiMOS: A Dataset for Moving Object Segmentation in 3D Point Clouds From Heterogeneous LiDAR Sensors
- EqNIO: Subequivariant Neural Inertial Odometry
- Body Transformer: Leveraging Robot Embodiment for Policy Learning
- OWL2Vec4OA: Tailoring Knowledge Graph Embeddings for Ontology Alignment
- From SAM to SAM 2: Exploring Improvements in Meta's Segment Anything Model
- Finding Patterns in Ambiguity: Interpretable Stress Testing in the Decision~Boundary
- Inverse designing metamaterials with programmable nonlinear functional responses in graph space
All 215
- LEARN: An Invex Loss for Outlier Oblivious Robust Online Optimization
- The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery
- Mipmap-GS: Let Gaussians Deform with Scale-specific Mipmap for Anti-aliasing Rendering
- Synthetic Patient-Physician Dialogue Generation from Clinical Notes Using LLM
- MovieSum: An Abstractive Summarization Dataset for Movie Screenplays
- Multi-marginal Schr"odinger Bridges with Iterative Reference Refinement
- FuxiTranyu: A Multilingual Large Language Model Trained with Balanced Data
- Audio Enhancement for Computer Audition -- An Iterative Training Paradigm Using Sample Importance
- DUNE: A Machine Learning Deep UNet++ based Ensemble Approach to Monthly, Seasonal and Annual Climate Forecasting
- Open-Source Molecular Processing Pipeline for Generating Molecules
- Context-aware Visual Storytelling with Visual Prefix Tuning and Contrastive Learning
- Targeted Deep Learning System Boundary Testing
- Reciprocal Learning
- Rethinking Video with a Universal Event-Based Representation
- Latent Disentanglement for Low Light Image Enhancement
- 3D Reconstruction of Protein Structures from Multi-view AFM Images using Neural Radiance Fields (NeRFs)
- Decentralized Health Intelligence Network (DHIN)
- Correlation Weighted Prototype-based Self-Supervised One-Shot Segmentation of Medical Images
- A Comprehensive Case Study on the Performance of Machine Learning Methods on the Classification of Solar Panel Electroluminescence Images
- FLEURS-R: A Restored Multilingual Speech Corpus for Generation Tasks
- A Large-Scale Study of Model Integration in ML-Enabled Software Systems
- A Digital Twin Framework Utilizing Machine Learning for Robust Predictive Maintenance: Enhancing Tire Health Monitoring
- Computability of Classification and Deep Learning: From Theoretical Limits to Practical Feasibility through Quantization
- Strategy Game-Playing with Size-Constrained State Abstraction
- Dynamic Blocked Clause Elimination for Projected Model Counting
- FruitNeRF: A Unified Neural Radiance Field based Fruit Counting Framework
- Improving Structural Diversity of Blackbox LLMs via Chain-of-Specification Prompting
- Centralized and Federated Heart Disease Classification Models Using UCI Dataset and their Shapley-value Based Interpretability
- Zero-shot 3D Segmentation of Abdominal Organs in CT Scans Using Segment Anything Model 2: Adapting Video Tracking Capabilities for 3D Medical Imaging
- Blind-Match: Efficient Homomorphic Encryption-Based 1:N Matching for Privacy-Preserving Biometric Identification
- ACCELERATION: Sequentially-scanning DECT Imaging Using High Temporal Resolution Image Reconstruction And Temporal Extrapolation
- 3D-free meets 3D priors: Novel View Synthesis from a Single Image with Pretrained Diffusion Guidance
- Palantir: Towards Efficient Super Resolution for Ultra-high-definition Live Streaming
- LipidBERT: A Lipid Language Model Pre-trained on METiS de novo Lipid Library
- Med42-v2: A Suite of Clinical LLMs
- MR3D-Net: Dynamic Multi-Resolution 3D Sparse Voxel Grid Fusion for LiDAR-Based Collective Perception
- Utilize Transformers for translating Wikipedia category names
- DPDETR: Decoupled Position Detection Transformer for Infrared-Visible Object Detection
- A Methodological Report on Anomaly Detection on Dynamic Knowledge Graphs
- How ChatGPT Changed the Media's Narratives on AI: A Semi-Automated Narrative Analysis Through Frame Semantics
- RISurConv: Rotation Invariant Surface Attention-Augmented Convolutions for 3D Point Cloud Classification and Segmentation
- Method-of-Moments Inference for GLMs and Doubly Robust Functionals under Proportional Asymptotics
- Contexts Matter: An Empirical Study on Contextual Influence in Fairness Testing for Deep Learning Systems
- Generalization capabilities of MeshGraphNets to unseen geometries for fluid dynamics
- Approximating Discrimination Within Models When Faced With Several Non-Binary Sensitive Attributes
- Building Decision Making Models Through Language Model Regime
- Towards Robust Monocular Depth Estimation in Non-Lambertian Surfaces
- Towards Adversarial Robustness via Debiased High-Confidence Logit Alignment
- Five Pitfalls When Assessing Synthetic Medical Images with Reference Metrics
- A-BDD: Leveraging Data Augmentations for Safe Autonomous Driving in Adverse Weather and Lighting
- Fully Bayesian Differential Gaussian Processes through Stochastic Differential Equations
- Neural Network Surrogate and Projected Gradient Descent for Fast and Reliable Finite Element Model Calibration: a Case Study on an Intervertebral Disc
- An Investigation Into Explainable Audio Hate Speech Detection
- On Tables with Numbers, with Numbers
- Quantum Algorithms for Compositional Text Processing
- Parallel transport on matrix manifolds and Exponential Action
- Perceptual Similarity for Measuring Decision-Making Style and Policy Diversity in Games
- What Ails Generative Structure-based Drug Design: Expressivity is Too Little or Too Much?
- DiagESC: Dialogue Synthesis for Integrating Depression Diagnosis into Emotional Support Conversation
- Enhancing Dialogue Speech Recognition with Robust Contextual Awareness via Noise Representation Learning
- Understanding Byzantine Robustness in Federated Learning with A Black-box Server
- ARPA: A Novel Hybrid Model for Advancing Visual Word Disambiguation Using Large Language Models and Transformers
- Spacetime E(n)-Transformer: Equivariant Attention for Spatio-temporal Graphs
- Peaking into the Black-box: Prediction Intervals Give Insight into Data-driven Quadrotor Model Reliability
- Graph Clustering with Cross-View Feature Propagation
- A Comprehensive Survey on EEG-Based Emotion Recognition: A Graph-Based Perspective
- Layer-Specific Optimization: Sensitivity Based Convolution Layers Basis Search
- Controlling Surprisal in Music Generation via Information Content Curve Matching
- ClickAttention: Click Region Similarity Guided Interactive Segmentation
- HeadGAP: Few-Shot 3D Head Avatar via Generalizable Gaussian Priors
- Uncertainty-Informed Volume Visualization using Implicit Neural Representation
- A Sharpness Based Loss Function for Removing Out-of-Focus Blur
- DEEPTalk: Dynamic Emotion Embedding for Probabilistic Speech-Driven 3D Face Animation
- LUT Tensor Core: A Software-Hardware Co-Design for LUT-Based Low-Bit LLM Inference
- An Analysis for Image-to-Image Translation and Style Transfer
- Transfer learning of state-based potential games for process optimization in decentralized manufacturing systems
- Parameters Inference for Nonlinear Wave Equations with Markovian Switching
- Exploring and Learning Structure: Active Inference Approach in Navigational Agents
- The Language of Trauma: Modeling Traumatic Event Descriptions Across Domains with Explainable AI
- Global-to-Local Support Spectrums for Language Model Explainability
- Unseen No More: Unlocking the Potential of CLIP for Generative Zero-shot HOI Detection
- Freehand Sketch Generation from Mechanical Components
- Target Detection of Safety Protective Gear Using the Improved YOLOv5
- Match Point AI: A Novel AI Framework for Evaluating Data-Driven Tennis Strategies
- Markov Senior -- Learning Markov Junior Grammars to Generate User-specified Content
- Boosting Adverse Weather Crowd Counting via Multi-queue Contrastive Learning
- Probabilistic Vision-Language Representation for Weakly Supervised Temporal Action Localization
- A Simple Task-aware Contrastive Local Descriptor Selection Strategy for Few-shot Learning between inter class and intra class
- Robust online reconstruction of continuous-time signals from a lean spike train ensemble code
- ConvKGYarn: Spinning Configurable and Scalable Conversational Knowledge Graph QA datasets with Large Language Models
- MV2DFusion: Leveraging Modality-Specific Object Semantics for Multi-Modal 3D Detection
- Multimodal Large Language Models for Phishing Webpage Detection and Identification
- Spb3DTracker: A Robust LiDAR-Based Person Tracker for Noisy Environment
- UniPortrait: A Unified Framework for Identity-Preserving Single- and Multi-Human Image Personalization
- Deep Geometric Moments Promote Shape Consistency in Text-to-3D Generation
- Multi-scale Contrastive Adaptor Learning for Segmenting Anything in Underperformed Scenes
- BI-MDRG: Bridging Image History in Multimodal Dialogue Response Generation
- Image Denoising Using Green Channel Prior
- Urban Region Pre-training and Prompting: A Graph-based Approach
- PAFormer: Part Aware Transformer for Person Re-identification
- Inverse design of Non-parameterized Ventilated Acoustic Resonator via Variational Autoencoder with Acoustic Response-encoded Latent Space
- Cluster-Segregate-Perturb (CSP): A Model-agnostic Explainability Pipeline for Spatiotemporal Land Surface Forecasting Models
- Learning Collaborative Knowledge with Multimodal Representation for Polyp Re-Identification
- A New Pipeline For Generating Instruction Dataset via RAG and Self Fine-Tuning
- AdTEC: A Unified Benchmark for Evaluating Text Quality in Search Engine Advertising
- Weakly Supervised Video Anomaly Detection and Localization with Spatio-Temporal Prompts
- Efficient Visual Representation Learning with Heat Conduction Equation
- Quantum Gradient Class Activation Map for Model Interpretability
- Polyp SAM 2: Advancing Zero shot Polyp Segmentation in Colorectal Cancer Detection
- CMAB: A First National-Scale Multi-Attribute Building Dataset in China Derived from Open Source Data and GeoAI
- Enhancing 3D Transformer Segmentation Model for Medical Image with Token-level Representation Learning
- Integrative Approaches in Cybersecurity and AI
- Online-Score-Aided Federated Learning for Resource-Constrained Wireless Clients with Continual Data Arrival
- Low-Rank Approximation, Adaptation, and Other Tales
- Creating Arabic LLM Prompts at Scale