Papers
Wed 8 May 2024
229 papers
- Preble: Efficient Distributed Prompt Scheduling for LLM ServingEfficient LLM inference and serving → Serving systems and request scheduling
- Fast Stochastic Policy Gradient: Negative Momentum for Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
- LLM-Augmented Agent-Based Modelling for Social Simulations: Challenges and OpportunitiesLLM agents and tool use → Social simulation and multi-agent debate
- Utilizing Large Language Models to Generate Synthetic Data to Increase the Performance of BERT-Based Neural NetworksSynthetic data and self-improvement for LLMs → Medical synthetic data and agents
- Model-Free Robust φ-Divergence Reinforcement Learning Using Both Offline and Online DataDeep reinforcement learning methods → RL theory and sample complexity
- Markowitz Meets Bellman: Knowledge-distilled Reinforcement Learning for Portfolio ManagementKnowledge distillation → On-policy and self-distillation for LLMs +1
- Evaluating Students' Open-ended Written Responses with LLMs: Using the RAG Framework for GPT-3.5, GPT-4, Claude-3, and Mistral-LargeRetrieval-augmented generation → RAG pipeline design and evaluation
- How Generalizable Is My Behavior Cloning Policy? A Statistical Approach to Trustworthy Performance EvaluationOffline RL and imitation learning from data → Robot manipulation imitation learning
- KV-Runahead: Scalable Causal LLM Inference by Parallel Key-Value Cache GenerationEfficient LLM inference and serving → KV cache optimization
- THRONE: An Object-based Hallucination Benchmark for the Free-form Generations of Large Vision-Language ModelsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- Diffusion-HMC: Parameter Inference with Diffusion-model-driven Hamiltonian Monte CarloDiffusion models → Inverse problems and image restoration
- Attention-Driven Training-Free Efficiency Enhancement of Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- Imagine Flash: Accelerating Emu Diffusion Models with Backward DistillationDiffusion models → Diffusion foundations and sampling
- FinePOSE: Fine-Grained Prompt-Driven 3D Human Pose Estimation via Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
- MIDGARD: Self-Consistency Using Minimum Description Length for Structured Commonsense ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning
- AirGapAgent: Protecting Privacy-Conscious Conversational AgentsLLM agents and tool use → Agent threats, guardrails and governance
- Novel Actor-Critic Algorithm for Robust Decision Making of CAV under Delays and Loss of V2X DataDeep reinforcement learning methods → RL for autonomous driving and traffic
- ADELIE: Aligning Large Language Models on Information ExtractionLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- HC-Mamba: Vision MAMBA with Hybrid Convolutional Techniques for Medical Image SegmentationState-space sequence models (S4, Mamba) → Mamba for medical image analysis
- Discrepancy-based Diffusion Models for Lesion Detection in Brain MRIDiffusion models → Medical imaging and segmentation
- A Review on Discriminative Self-supervised Learning Methods in Computer VisionKnowledge distillation → General knowledge distillation methods
- Frequency-Assisted Mamba for Remote Sensing Image Super-ResolutionState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
- VisionGraph: Leveraging Large Multimodal Models for Graph Theory Problems in Visual ContextLLM reasoning → Multimodal reasoning +1
- Fast LiDAR Upsampling using Conditional Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
- FlexEControl: Flexible and Efficient Multimodal Control for Text-to-Image GenerationDiffusion models → Image generation, text-to-image and editing
- Explanation as a Watermark: Towards Harmless and Multi-bit Model Ownership Verification via Watermarking Feature AttributionLLM safety and security → Watermarking generated content and models
- ACORN: Aspect-wise Commonsense Reasoning Explanation EvaluationLLM reasoning → Reasoning benchmarks and evaluation
- Variational Schr"odinger Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- SemiCD-VL: Visual-Language Model Guidance Makes Better Semi-supervised Change DetectorMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- CourseGPT-zh: an Educational Large Language Model Based on Knowledge Distillation Incorporating Prompt OptimizationKnowledge distillation → Knowledge distillation for LLMs
- Teacher-Student Network for Real-World Face Super-Resolution with Progressive Embedding of Edge InformationKnowledge distillation → General knowledge distillation methods
- Chain of Thoughtlessness? An Analysis of CoT in PlanningLLM reasoning → Prompting and chain-of-thought reasoning
- Red-Teaming for Inducing Societal Bias in Large Language ModelsLLM safety and security → Safety alignment, refusal and guardrails
- An efficient machine learning approach for extracting eSports players distinguishing features and classifying their skill levels using symbolic transfer entropy and consensus nested cross validation
- A digital twin based approach to smart lighting design
- Compressed Latent Replays for Lightweight Continual Learning on Spiking Neural Networks
- Synthetic Data in Radiological Imaging: Current State and Future Outlook
- Controlling Chaos Using Edge Computing Hardware
- TSB: Tiny Shared Block for Efficient DNN Deployment on NVCIM Accelerators
- Multimodal Approach for Harmonized System Code Prediction
- Finite Groundings for ASP with Functions: A Journey through Consistency
- Untargeted Adversarial Attack on Knowledge Graph Embeddings
- Dynamic GNNs for Precise Seizure Detection and Classification from EEG Data
- ECG-SMART-NET: A Deep Learning Architecture for Precise ECG Diagnosis of Occlusion Myocardial Infarction
- Detection of Sleep Oxygen Desaturations from Electroencephalogram Signals
- Graphon Mean Field Games with a Representative Player: Analysis and Learning Algorithm
- Interpretable Cross-Examination Technique (ICE-T): Using highly informative features to boost LLM performance
- Malayalam Sign Language Identification using Finetuned YOLOv8 and Computer Vision Techniques
- Lightweight Spatial Modeling for Combinatorial Information Extraction From Documents
- ChatSOS: Vector Database Augmented Generative Question Answering Assistant in Safety Engineering
- Automated Conversion of Static to Dynamic Scheduler via Natural Language
- Multi-level Shared Knowledge Guided Learning for Knowledge Graph Completion
- Towards Less Biased Data-driven Scoring with Deep Learning-Based End-to-end Database Search in Tandem Mass Spectrometry
- CloudSense: A Model for Cloud Type Identification using Machine Learning from Radar data
- Physics-Enhanced Machine Learning: a position paper for dynamical systems investigations
- TrafficGPT: Towards Multi-Scale Traffic Analysis and Generation with Spatial-Temporal Agent Framework
- Few-Shot Class Incremental Learning via Robust Transformer Approach
- Real-Time Pill Identification for the Visually Impaired Using Deep Learning
- Estimating Noisy Class Posterior with Part-level Labels for Noisy Label Learning
- AFEN: Respiratory Disease Classification using Ensemble Learning
- Poser: Unmasking Alignment Faking LLMs by Manipulating Their Internals
- Vidur: A Large-Scale Simulation Framework For LLM Inference
- Cross-Modality Translation with Generative Adversarial Networks to Unveil Alzheimer's Disease Biomarkers
- Taking a Moment for Distributional Robustness
- Automated Program Repair: Emerging trends pose and expose problems for benchmarks
- GDGS: Gradient Domain Gaussian Splatting for Sparse Representation of Radiance Fields
- Large Language Model Enhanced Machine Learning Estimators for Classification
- Analysis and prevention of AI-based phishing email attacks
- Searching for Programmatic Policies in Semantic Spaces
- Towards Invariant Time Series Forecasting in Smart Cities
- How Inverse Conditional Flows Can Serve as a Substitute for Distributional Regression
- Adversary-Guided Motion Retargeting for Skeleton Anonymization
- Latent Variable Double Gaussian Process Model for Decoding Complex Neural Data
- EarthMatch: Iterative Coregistration for Fine-grained Localization of Astronaut Photography
- Mitigating Exaggerated Safety in Large Language Models
- Fishing for Magikarp: Automatically Detecting Under-trained Tokens in Large Language Models
- Initialization is Critical to Whether Transformers Fit Composite Functions by Reasoning or Memorizing
- ASPIRE: Iterative Amortized Posterior Inference for Bayesian Inverse Problems
- Mutual information and the encoding of contingency tables
- Interpretability Needs a New Paradigm
- "They are uncultured": Unveiling Covert Harms and Social Threats in LLM Generated Conversations
- Krey`ol-MT: Building MT for Latin American, Caribbean and Colonial African Creole Languages
- Arctic-Embed: Scalable, Efficient, and Accurate Text Embedding Models
- Model Reconstruction Using Counterfactual Explanations: A Perspective From Polytope Theory
- LOC-ZSON: Language-driven Object-Centric Zero-Shot Object Retrieval and Navigation
- Geometry-Informed Distance Candidate Selection for Adaptive Lightweight Omnidirectional Stereo Vision with Fisheye Images
- Transfer-LMR: Heavy-Tail Driving Behavior Recognition in Diverse Traffic Scenarios
- Offline Model-Based Optimization via Policy-Guided Gradient Search
- The Effect of Model Size on LLM Post-hoc Explainability via LIME
- Benchmarking Educational Program Repair
- QuaLLM: An LLM-based Framework to Extract Quantitative Insights from Online Forums
- Distributed Least Squares in Small Space via Sketching and Bias Reduction
- Joint semi-supervised and contrastive learning enables domain generalization and multi-domain segmentation
- Multiplicative Dynamic Mode Decomposition
- Challenges for Responsible AI Design and Workflow Integration in Healthcare: A Case Study of Automatic Feeding Tube Qualification in Radiology
- Deep Learning Method to Predict Wound Healing Progress Based on Collagen Fibers in Wound Tissue
- Relevant Irrelevance: Generating Alterfactual Explanations for Image Classifiers
- Harmonizing Program Induction with Rate-Distortion Theory
- A Review on Fragment-based De Novo 2D Molecule Generation
- Smart Portable Computer
All 229
- Learning Social Graph for Inactive User Recommendation
- OpenESS: Event-based Semantic Scene Understanding with Open Vocabularies
- Multi-Modal Data-Efficient 3D Scene Understanding for Autonomous Driving
- You Only Cache Once: Decoder-Decoder Architectures for Language Models
- Open Source Language Models Can Provide Feedback: Evaluating LLMs' Ability to Help Students Using GPT-4-As-A-Judge
- LLMs with Personalities in Multi-issue Negotiation Games
- SVDD Challenge 2024: A Singing Voice Deepfake Detection Challenge Evaluation Plan
- Deep learning-based variational autoencoder for classification of quantum and classical states of light
- BenthicNet: A global compilation of seafloor images for deep learning applications
- An LSTM-Based Chord Generation System Using Chroma Histogram Representations
- Cellular Traffic Prediction Using Online Prediction Algorithms
- EVA-X: A Foundation Model for General Chest X-ray Analysis with Self-supervised Learning
- Stability and Performance Analysis of Discrete-Time ReLU Recurrent Neural Networks
- RACH Traffic Prediction in Massive Machine Type Communications
- DiskGNN: Bridging I/O Efficiency and Model Accuracy for Out-of-Core GNN Training
- Conv-Basis: A New Paradigm for Efficient Attention Inference and Gradient Computation in Transformers
- Anomaly Detection in Certificate Transparency Logs
- Hybrid Quantum Graph Neural Network for Molecular Property Prediction
- CARE-SD: Classifier-based analysis for recognizing and eliminating stigmatizing and doubt marker labels in electronic health records: model development and validation
- Discretely Beyond 1/e: Guided Combinatorial Algorithms for Submodular Maximization
- SINBAD: Saliency-informed detection of breakage caused by ad blocking
- Full error analysis of the random deep splitting method for nonlinear parabolic PDEs and PIDEs
- Is Transductive Learning Equivalent to PAC Learning?
- A score-based particle method for homogeneous Landau equation
- Machine Learning Assisted Dynamical Classification of Trans-Neptunian Objects
- Encoder-Decoder Framework for Interactive Free Verses with Generation with Controllable High-Quality Rhyming
- A Survey on Occupancy Perception for Autonomous Driving: The Information Fusion Perspective
- Custom Gradient Estimators are Straight-Through Estimators in Disguise
- Picking watermarks from noise (PWFN): an improved robust watermarking model against intensive distortions
- Data-Error Scaling Laws in Machine Learning on Combinatorial Mutation-prone Sets: Proteins and Small Molecules
- ProbRadarM3F: mmWave Radar based Human Skeletal Pose Estimation with Probability Map Guided Multi-Format Feature Fusion
- Motion Capture Analysis of Verb and Adjective Types in Austrian Sign Language
- Selective Classification Under Distribution Shifts
- The Potential and Implications of Generative AI on HCI Education
- Hybrid Convolutional Neural Networks with Reliability Guarantee
- Identifying every building's function in large-scale urban areas with multi-modality remote-sensing data
- Multi-scale Bottleneck Transformer for Weakly Supervised Multimodal Violence Detection
- XAMPLER: Learning to Retrieve Cross-Lingual In-Context Examples
- Uncertainty quantification in metric spaces
- QFMTS: Generating Query-Focused Summaries over Multi-Table Inputs
- Biology-inspired joint distribution neurons based on Hierarchical Correlation Reconstruction allowing for multidirectional propagation of values and densities
- Approximation properties relative to continuous scale space for hybrid discretizations of Gaussian derivative operators
- Robust deep learning from weakly dependent data
- Concerns on Bias in Large Language Models when Creating Synthetic Personae
- Power Variable Projection for Initialization-Free Large-Scale Bundle Adjustment
- Sparse-PGD: A Unified Framework for Sparse Adversarial Perturbations Generation
- Designing Skill-Compatible AI: Methodologies and Frameworks in Chess
- Conversational Topic Recommendation in Counseling and Psychotherapy with Decision Transformer and Large Language Models
- Real-Time Motion Detection Using Dynamic Mode Decomposition
- Seeds of Stereotypes: A Large-Scale Textual Analysis of Race and Gender Associations with Diseases in Online Sources
- Reviewing Intelligent Cinematography: AI research for camera-based video production
- Multi-fidelity Hamiltonian Monte Carlo
- Mitigating Bias Using Model-Agnostic Data Attribution
- StyleMamba : State Space Model for Efficient Text-driven Image Style Transfer
- Learning Structural Causal Models through Deep Generative Models: Methods, Guarantees, and Challenges
- TGTM: TinyML-based Global Tone Mapping for HDR Sensors
- Concrete Dense Network for Long-Sequence Time Series Clustering
- The Entropy Enigma: Success and Failure of Entropy Minimization
- M2DNeRF: Multi-Modal Decomposition NeRF with 3D Feature Fields
- TENet: Targetness Entanglement Incorporating with Multi-Scale Pooling and Mutually-Guided Fusion for RGB-E Object Tracking
- HMANet: Hybrid Multi-Axis Aggregation Network for Image Super-Resolution
- Bridging the Gap Between Saliency Prediction and Image Quality Assessment
- Health Index Estimation Through Integration of General Knowledge with Unsupervised Learning
- An Artificial Intelligence Approach for Interpreting Creative Combinational Designs
- Dynamic Data Layout Optimization with Worst-case Guarantees
- Overcoming Anchoring Bias: The Potential of AI and XAI-based Decision Support
- End-to-End Semi-Supervised approach with Modulated Object Queries for Table Detection in Documents
- Communication-Efficient Collaborative Perception via Information Filling with Codebook
- P-ICL: Point In-Context Learning for Named Entity Recognition with Large Language Models
- Improving Long Text Understanding with Knowledge Distilled from Summarization Model
- Supervised Anomaly Detection for Complex Industrial Images
- A Sparse Tensor Generator with Efficient Feature Extraction
- Unsupervised Skin Feature Tracking with Deep Neural Networks
- Imprecise Probabilities Meet Partial Observability: Game Semantics for Robust POMDPs
- Harnessing the Power of MLLMs for Transferable Text-to-Image Person ReID
- Fault Identification Enhancement with Reinforcement Learning (FIERL)
- Developing trustworthy AI applications with foundation models
- DataSP: A Differential All-to-All Shortest Path Algorithm for Learning Costs and Predicting Paths with Context
- Fast Computation of Leave-One-Out Cross-Validation for k-NN Regression
- Delve into Base-Novel Confusion: Redundancy Exploration for Few-Shot Class-Incremental Learning
- Guiding adaptive shrinkage by co-data to improve regression-based prediction and feature selection
- Weakly-supervised Semantic Segmentation via Dual-stream Contrastive Learning of Cross-image Contextual Information
- Learning with Posterior Sampling for Revenue Management under Time-varying Demand
- Traj-LLM: A New Exploration for Empowering Trajectory Prediction with Pre-trained Large Language Models
- Imbalanced Graph Classification with Multi-scale Oversampling Graph Neural Networks
- HAGAN: Hybrid Augmented Generative Adversarial Network for Medical Image Synthesis
- Self-supervised Gait-based Emotion Representation Learning from Selective Strongly Augmented Skeleton Sequences
- Machine Learning-based NLP for Emotion Classification on a Cholera X Dataset
- GISR: Geometric Initialization and Silhouette-based Refinement for Single-View Robot Pose and Configuration Estimation
- FreeBind: Free Lunch in Unified Multimodal Space via Knowledge Fusion
- G"odel Number based Clustering Algorithm with Decimal First Degree Cellular Automata
- The Codecfake Dataset and Countermeasures for the Universally Detection of Deepfake Audio
- SCALA: Split Federated Learning with Concatenated Activations and Logit Adjustments
- Logical Negation Augmenting and Debiasing for Prompt-based Methods
- Enhancing Geometric Ontology Embeddings for EL++ with Negative Sampling and Deductive Closure Filtering
- MIPI 2024 Challenge on Demosaic for HybridEVS Camera: Methods and Results
- Regime Learning for Differentiable Particle Filters
- Pedestrian Attribute Recognition as Label-balanced Multi-label Learning
- Explaining Clustering of Ecological Momentary Assessment Data Through Temporal and Feature Attention
- xMTrans: Temporal Attentive Cross-Modality Fusion Transformer for Long-Term Traffic Prediction
- Fine-tuning Pre-trained Named Entity Recognition Models For Indian Languages
- ChuXin: 1.6B Technical Report
- APrompt4EM: Augmented Prompt Tuning for Generalized Entity Matching
- DALK: Dynamic Co-Augmentation of LLMs and KG to answer Alzheimer's Disease Questions with Scientific Literature
- Proportion Estimation by Masked Learning from Label Proportion
- A Novel Technique for Query Plan Representation Based on Graph Neural Nets
- General Place Recognition Survey: Towards Real-World Autonomy
- A unified error analysis for randomized low-rank approximation with application to data assimilation
- Transformer Architecture for NetsDB
- DeepDamageNet: A two-step deep-learning model for multi-disaster building damage segmentation and classification using satellite imagery
- From LLMs to Actions: Latent Codes as Bridges in Hierarchical Robot Control
- Zero-shot LLM-guided Counterfactual Generation: A Case Study on NLP Model Evaluation
- Dual-Image Enhanced CLIP for Zero-Shot Anomaly Detection
- Empathy Through Multimodality in Conversational Interfaces
- Hypergraph-enhanced Dual Semi-supervised Graph Classification
- Exploring Vision Transformers for 3D Human Motion-Language Models with Motion Patches
- Inference With Combining Rules From Multiple Differentially Private Synthetic Datasets
- Test-Time Augmentation for Traveling Salesperson Problem
- When Foresight Pruning Meets Zeroth-Order Optimization: Efficient Federated Learning for Low-Memory Devices
- Large Language Models for Cyber Security: A Systematic Literature Review
- Multi-Label Out-of-Distribution Detection with Spectral Normalized Joint Energy
- Honeyfile Camouflage: Hiding Fake Files in Plain Sight
- Conditional Local Feature Encoding for Graph Neural Networks
- AttacKG+:Boosting Attack Knowledge Graph Construction with Large Language Models
- SVD-AE: Simple Autoencoders for Collaborative Filtering
- All in One Framework for Multimodal Re-identification in the Wild
- Is the House Ready For Sleeptime? Generating and Evaluating Situational Queries for Embodied Question Answering
- Learning Phonotactics from Linguistic Informants
- Detecting and Refining HiRISE Image Patches Obscured by Atmospheric Dust