Papers
Tue 16 Apr 2024
276 papers
- Residual Connections Harm Generative Representation LearningDiffusion models → Diffusion foundations and sampling
- What Hides behind Unfairness? Exploring Dynamics Fairness in Reinforcement LearningDeep reinforcement learning methods → RL for games and combinatorial optimization
- More Room for Language: Investigating the Effect of Retrieval on Language ModelsRetrieval-augmented generation → Generation and context integration
- Towards a Research Community in Interpretable Reinforcement Learning: the InterpPol WorkshopDeep reinforcement learning methods → Interpretable and logic-guided RL
- Grounded Language Agent for Product Search via Intelligent Web InteractionsLLM agents and tool use → Web, search, and research agents
- Automated Discovery of Functional Actual Causes in Complex EnvironmentsDeep reinforcement learning methods → Deep RL algorithms and representations
- Vocabulary-free Image Classification and Semantic SegmentationMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Sample Complexity of the Linear Quadratic Regulator: A Reinforcement Learning LensDeep reinforcement learning methods → RL for games and combinatorial optimization
- End-To-End Training and Testing Gamification Framework to Learn Human Highway DrivingEnd-to-end autonomous driving → End-to-end system architecture
- Nearly Optimal Algorithms for Contextual Dueling Bandits from Adversarial FeedbackLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- COMBO: Compositional World Models for Embodied Multi-Agent CooperationWorld models → World models for language agents +1
- MiniCheck: Efficient Fact-Checking of LLMs on Grounding DocumentsRetrieval-augmented generation → RAG robustness and adaptive retrieval
- RefFusion: Reference Adapted Diffusion Models for 3D Scene InpaintingDiffusion models → 3D, point cloud and scene generation
- LaDiC: Are Diffusion Models Really Inferior to Autoregressive Counterparts for Image-to-Text Generation?Diffusion models → Image generation, text-to-image and editing
- Achieving Constant Regret in Linear Markov Decision ProcessesDeep reinforcement learning methods → RL theory and sample complexity
- N-Agent Ad Hoc TeamworkDeep reinforcement learning methods → RL for games and combinatorial optimization
- Automatic re-calibration of quantum devices by reinforcement learningDeep reinforcement learning methods → Quantum reinforcement learning
- Is DPO Superior to PPO for LLM Alignment? A Comprehensive StudyLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Efficient Conditional Diffusion Model with Probability Flow Sampling for Image Super-resolutionDiffusion models → Inverse problems and image restoration
- Generating Human Interaction Motions in Scenes with Text ControlDiffusion models → Video generation
- Simplex Decomposition for Portfolio Allocation Constraints in Reinforcement LearningDeep reinforcement learning methods → Adversarial robustness and RL in finance
- SCALE: Self-Correcting Visual Navigation for Mobile Robots via Anti-Novelty EstimationDeep reinforcement learning methods → RL for robot navigation and UAV control
- Continual Offline Reinforcement Learning via Diffusion-based Dual Generative ReplayDiffusion models → Robustness, privacy and adversarial aspects +1
- Trajectory Planning Using Reinforcement Learning for Interactive Overtaking Maneuvers in Autonomous Racing ScenariosDeep reinforcement learning methods → RL for autonomous driving and traffic
- Continuous Control Reinforcement Learning: Distributed Distributional DrQ AlgorithmsDeep reinforcement learning methods → RL theory and sample complexity
- Self-playing Adversarial Language Game Enhances LLM ReasoningLLM reasoning → Reasoning for agents, planning and code +1
- Compact Multi-Object Placement Using Adjacency-Aware Reinforcement LearningDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Private Attribute Inference from Images with Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- CorrespondentDream: Enhancing 3D Fidelity of Text-to-3D using Cross-View CorrespondencesDiffusion models → 3D, point cloud and scene generation
- Automated Evaluation of Large Vision-Language Models on Self-driving Corner CasesMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection +1
- Do Counterfactual Examples Complicate Adversarial Training?Diffusion models → Diffusion foundations and sampling
- Warm-Start Variational Quantum Policy IterationDeep reinforcement learning methods → Quantum reinforcement learning
- CoTAR: Chain-of-Thought Attribution Reasoning with Multi-level GranularityLLM reasoning → Prompting and chain-of-thought reasoning
- Self-Supervised Visual Preference AlignmentMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
- Spiral of Silence: How is Large Language Model Killing Information Retrieval? -- A Case Study on Open Domain Question AnsweringRetrieval-augmented generation → RAG robustness and adaptive retrieval
- SparseDM: Toward Sparse Efficient Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- MEEL: Multi-Modal Event Evolution LearningMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Camera clustering for scalable stream-based active distillationKnowledge distillation → Detection and dense prediction distillation
- Portrait3D: Text-Guided High-Quality 3D Portrait Generation Using Pyramid Representation and GANs PriorDiffusion models → 3D, point cloud and scene generation
- Offline Trajectory Optimization for Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
- Reasoning on Efficient Knowledge Paths:Knowledge Graph Guides Large Language Model for Domain Question AnsweringLLM reasoning → Knowledge- and tool-augmented reasoning
- Optimization of Prompt Learning via Multi-Knowledge Representation for Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Generating Counterfactual Trajectories with Latent Diffusion Models for Concept DiscoveryDiffusion models → Diffusion foundations and sampling
- Self-Explore: Enhancing Mathematical Reasoning in Language Models with Fine-grained RewardsLLM reasoning → Test-time compute and efficient thinking
- Efficient Generation of Targeted and Transferable Adversarial Examples for Vision-Language Models Via Diffusion ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- Prescribing the Right Remedy: Mitigating Hallucinations in Large Vision-Language Models via Targeted Instruction TuningMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- OmniSSR: Zero-shot Omnidirectional Image Super-Resolution using Stable Diffusion ModelDiffusion models → Inverse problems and image restoration
- Balancing Speciality and Versatility: A Coarse to Fine Framework for Mitigating Catastrophic Forgetting in Large Language ModelsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Long-form music generation with latent diffusionDiffusion models → Audio, speech and music
- EucliDreamer: Fast and High-Quality Texturing for 3D Models with Depth-Conditioned Stable DiffusionDiffusion models → 3D, point cloud and scene generation
- Social Choice Should Guide AI Alignment in Dealing with Diverse Human FeedbackLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- OneActor: Consistent Character Generation via Cluster-Conditioned GuidanceDiffusion models → Image generation, text-to-image and editing
- Diffusion assisted image reconstruction in optoacoustic tomographyDiffusion models → Medical imaging and segmentation
- Med-MoE: Mixture of Domain-Specific Experts for Lightweight Medical Vision-Language ModelsMultimodal LLMs / vision-language models → Medical vision-language models +1
- Find The Gap: Knowledge Base Reasoning For Visual Question AnsweringLLM reasoning → Multimodal reasoning
- ClashEval: Quantifying the tug-of-war between an LLM's internal prior and external evidenceRetrieval-augmented generation → RAG robustness and adaptive retrieval
- Consistency and Uncertainty: Identifying Unreliable Responses From Black-Box Vision-Language Models for Selective Visual Question AnsweringMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Multi-objective generative AI for designing novel brain-targeting small molecules
- Exploring Social Media Posts for Depression Identification: A Study on Reddit Dataset
- Conformal Semantic Image Segmentation: Post-hoc Quantification of Predictive Uncertainty
- Relational Graph Convolutional Networks for Sentiment Analysis
- Empowering Interdisciplinary Research with BERT-Based Models: An Approach Through SciBERT-CNN with Topic Modeling
- Improving the Capabilities of Large Language Model Based Marketing Analytics Copilots With Semantic Search And Fine-Tuning
- Benchmarking changepoint detection algorithms on cardiac time series
- TV100: A TV Series Dataset that Pre-Trained CLIP Has Not Seen
- Uncertainty-Based Abstention in LLMs Improves Safety and Reduces Hallucinations
- Personalized Federated Learning via Stacking
- Can Language Models Solve Olympiad Programming?
- Human-Algorithm Collaborative Bayesian Optimization for Engineering Systems
- Information encoding and decoding in in-vitro neural networks on micro electrode arrays through stimulation timing
- Neuromorphic Vision-based Motion Segmentation with Graph Transformer Neural Network
- Beam Training in mmWave Vehicular Systems: Machine Learning for Decoupling Beam Selection
- Molecular relaxation by reverse diffusion with time step prediction
- Shears: Unstructured Sparsity with Neural Low-rank Adapter Search
- LLMem: Estimating GPU Memory Usage for Fine-Tuning Pre-Trained LLMs
- A Concise Tiling Strategy for Preserving Spatial Context in Earth Observation Imagery
- Binder: Hierarchical Concept Representation through Order Embedding of Binary Vectors
- Teaching a Multilingual Large Language Model to Understand Multilingual Speech via Multi-Instructional Training
- Tao: Re-Thinking DL-based Microarchitecture Simulation
- Which questions should I answer? Salience Prediction of Inquisitive Questions
- Causal Effect Estimation Using Random Hyperplane Tessellations
- Multi-Task Multi-Modal Self-Supervised Learning for Facial Expression Recognition
- CrossGP: Cross-Day Glucose Prediction Excluding Physiological Information
- Demonstrating the power and flexibility of variational assumptions for amortized neural posterior estimation in environmental applications
- From a Lossless (~1.5:1) Compression Algorithm for Llama2 7B Weights to Variable Precision, Variable Range, Compressed Numeric Data Types for CNNs and LLMs
- Semantics-Aware Attention Guidance for Diagnosing Whole Slide Images
- Automatic classification of prostate MR series type using image content and metadata
- Exploring Augmentation and Cognitive Strategies for AI based Synthetic Personae
- Cognitive-Motor Integration in Assessing Bimanual Motor Skills
- Differentially Private Optimization with Sparse Gradients
- HumMUSS: Human Motion Understanding using State Space Models
- Incubating Text Classifiers Following User Instruction with Nothing but LLM
- Course Recommender Systems Need to Consider the Job Market
- OSR-ViT: A Simple and Modular Framework for Open-Set Object Detection and Discovery
- Forcing Diffuse Distributions out of Language Models
- D3CODE: Disentangling Disagreements in Data across Cultures on Offensiveness Detection and Evaluation
- UruDendro, a public dataset of cross-section images of Pinus taeda
- A LayoutLMv3-Based Model for Enhanced Relation Extraction in Visually-Rich Documents
- Top-k Multi-Armed Bandit Learning for Content Dissemination in Swarms of Micro-UAVs
- Geometric Neural Operators (GNPs) for Data-Driven Deep Learning of Non-Euclidean Operators
All 276
- Unsupervised Speaker Diarization in Distributed IoT Networks Using Federated Learning
- Gasformer: A Transformer-based Architecture for Segmenting Methane Emissions from Livestock in Optical Gas Imaging
- Dynamic Self-adaptive Multiscale Distillation from Pre-trained Multimodal Large Model for Efficient Cross-modal Representation Learning
- Semantic-Based Active Perception for Humanoid Visual Tasks with Foveal Sensors
- Fewer Truncations Improve Language Modeling
- Decoupled Weight Decay for Any p Norm
- Integrating Graph Neural Networks with Scattering Transform for Anomaly Detection
- Sustainability of Data Center Digital Twins with Reinforcement Learning
- Gaussian Opacity Fields: Efficient Adaptive Surface Reconstruction in Unbounded Scenes
- TENG: Time-Evolving Natural Gradient for Solving PDEs With Deep Neural Nets Toward Machine Precision
- Finite-dimensional approximations of push-forwards on locally analytic functionals
- RapidVol: Rapid Reconstruction of 3D Ultrasound Volumes from Sensorless 2D Scans
- Confidential Federated Computations
- TorchSurv: A Lightweight Package for Deep Survival Analysis
- Learning Feature Inversion for Multi-class Anomaly Detection under General-purpose COCO-AD Benchmark
- Laplace-HDC: Understanding the geometry of binary hyperdimensional computing
- Watch Your Step: Optimal Retrieval for Continual Learning at Scale
- Deep Learning and LLM-based Methods Applied to Stellar Lightcurve Classification
- Interpolation and differentiation of alchemical degrees of freedom in machine learning interatomic potentials
- Bootstrapping Linear Models for Fast Online Adaptation in Human-Agent Collaboration
- What is Meant by AGI? On the Definition of Artificial General Intelligence
- Insight Gained from Migrating a Machine Learning Model to Intelligence Processing Units
- Randomized Exploration in Cooperative Multi-Agent Reinforcement Learning
- How Deep Networks Learn Sparse and Hierarchical Data: the Sparse Random Hierarchy Model
- GazeHTA: End-to-end Gaze Target Detection with Head-Target Association
- Mixed Prototype Consistency Learning for Semi-supervised Medical Image Segmentation
- MOWA: Multiple-in-One Image Warping Model
- Dynamic Frequency-Based Fingerprinting Attacks against Modern Sandbox Environments
- AV-GAN: Attention-Based Varifocal Generative Adversarial Network for Uneven Medical Image Translation
- A Plausibility Study of Using Augmented Reality in the Ventriculoperitoneal Shunt Operations
- Autoregressive Pre-Training on Pixels and Texts
- Cross-Language Evolution of Divergent Collective Memory Around the Arab Spring
- Question Difficulty Ranking for Multiple-Choice Reading Comprehension
- Rawformer: Unpaired Raw-to-Raw Translation for Learnable Camera ISPs
- ECLAIR: A High-Fidelity Aerial LiDAR Dataset for Semantic Segmentation
- Integrating knowledge bases to improve coreference and bridging resolution for the chemical domain
- MathWriting: A Dataset For Handwritten Mathematical Expression Recognition
- Network architecture search of X-ray based scientific applications
- Driver Fatigue Prediction using Randomly Activated Neural Networks for Smart Ridesharing Platforms
- StyleCity: Large-Scale 3D Urban Scenes Stylization
- HSVI-based Online Minimax Strategies for Partially Observable Stochastic Games with Neural Perception Mechanisms
- Automating REST API Postman Test Cases Using LLM
- VASA-1: Lifelike Audio-Driven Talking Faces Generated in Real Time
- Assessing The Impact of CNN Auto Encoder-Based Image Denoising on Image Classification Tasks
- ViTextVQA: A Large-Scale Visual Question Answering Dataset and a Novel Multimodal Feature Fusion Method for Vietnamese Text Comprehension in Images
- Efficient Parking Search using Shared Fleet Data
- Contextrast: Contextual Contrastive Learning for Semantic Segmentation
- HLAT: High-quality Large Language Model Pre-trained on AWS Trainium
- Exploring selective image matching methods for zero-shot and few-sample unsupervised domain adaptation of urban canopy prediction
- Gaussian Splatting Decoder for 3D-aware Generative Adversarial Networks
- PyTorchGeoNodes: Enabling Differentiable Shape Programs for 3D Shape Reconstruction
- Intra-operative tumour margin evaluation in breast-conserving surgery with deep learning
- Hardware-aware training of models with synaptic delays for digital event-driven neuromorphic processors
- Learning Symbolic Task Representation from a Human-Led Demonstration: A Memory to Store, Retrieve, Consolidate, and Forget Experiences
- ReWiTe: Realistic Wide-angle and Telephoto Dual Camera Fusion Dataset via Beam Splitter Camera Rig
- Data-driven subgrouping of patient trajectories with chronic diseases: Evidence from low back pain
- The application of Augmented Reality (AR) in Remote Work and Education
- EMC2: Efficient MCMC Negative Sampling for Contrastive Learning with Global Convergence
- Uncertainty-guided Open-Set Source-Free Unsupervised Domain Adaptation with Target-private Class Segregation
- AAVDiff: Experimental Validation of Enhanced Viability and Diversity in Recombinant Adeno-Associated Virus (AAV) Capsids through Diffusion Generation
- Label merge-and-split: A graph-colouring approach for memory-efficient brain parcellation
- CMU-Flownet: Exploring Point Cloud Scene Flow Estimation in Occluded Scenario
- HiGraphDTI: Hierarchical Graph Representation Learning for Drug-Target Interaction Prediction
- Construction of Domain-specified Japanese Large Language Model for Finance through Continual Pre-training
- Unveiling the Misuse Potential of Base Large Language Models via In-Context Learning
- The Evolution of Learning: Assessing the Transformative Impact of Generative AI on Higher Education
- Analytical Approximation of the ELBO Gradient in the Context of the Clutter Problem
- Classification of Prostate Cancer in 3D Magnetic Resonance Imaging Data based on Convolutional Neural Networks
- A/B testing under Interference with Partial Network Information
- SPVLoc: Semantic Panoramic Viewport Matching for 6D Camera Localization in Unseen Environments
- MobileNetV4 -- Universal Models for the Mobile Ecosystem
- Four-hour thunderstorm nowcasting using a deep diffusion model of satellite data
- White Men Lead, Black Women Help? Benchmarking and Mitigating Language Agency Social Biases in LLMs
- Data Collection of Real-Life Knowledge Work in Context: The RLKWiC Dataset
- A Sentiment Analysis of Medical Text Based on Deep Learning
- When Emotional Stimuli meet Prompt Designing: An Auto-Prompt Graphical Paradigm
- Robust Noisy Label Learning via Two-Stream Sample Distillation
- LAECIPS: Large Vision Model Assisted Adaptive Edge-Cloud Collaboration for IoT-based Embodied Intelligence System
- BDAN: Mitigating Temporal Difference Across Electrodes in Cross-Subject Motor Imagery Classification via Generative Bridging Domain
- Enhancing Sign Language Teaching: A Mixed Reality Approach for Immersive Learning and Multi-Dimensional Feedback
- AbsGS: Recovering Fine Details for 3D Gaussian Splatting
- From Uncertainty to Trust: Kernel Dropout for AI-Powered Medical Predictions
- BayesJudge: Bayesian Kernel Language Modelling with Confidence Uncertainty in Legal Judgment Prediction
- Enhanced Facial Feature Extraction and Recignation Using Optimal Fully Dispersed Haar-like Filters
- Conversations as a Source for Teaching Scientific Concepts at Different Education Levels
- Toward a Realistic Benchmark for Out-of-Distribution Detection
- Machine Learning Based Optimization Workflow for Tuning Numerical Settings of Differential Equation Solvers for Boundary Value Problems
- DESTEIN: Navigating Detoxification of Language Models via Universal Steering Pairs and Head-wise Activation Fusion
- Advancing Long-Term Multi-Energy Load Forecasting with Patchformer: A Patch and Transformer-Based Approach
- Revealing data leakage in protein interaction benchmarks
- A Computer Vision-Based Quality Assessment Technique for the automatic control of consumables for analytical laboratories
- Graph Neural Networks for Protein-Protein Interactions -- A Short Survey
- Semi-supervised Fr'echet Regression
- AGHINT: Attribute-Guided Representation Learning on Heterogeneous Information Networks with Transformer
- 1st Place Solution for ICCV 2023 OmniObject3D Challenge: Sparse-View Reconstruction
- Language Proficiency and F0 Entrainment: A Study of L2 English Imitation in Italian, French, and Slovak Speakers
- The Unreasonable Effectiveness of Pre-Trained Features for Camera Pose Refinement
- Tree Bandits for Generative Bayes
- Explainable concept mappings of MRI: Revealing the mechanisms underlying deep learning-based brain disease classification
- Optimizing BioTac Simulation for Realistic Tactile Perception
- AudioProtoPNet: An interpretable deep learning model for bird sound classification
- MAD Speech: Measures of Acoustic Diversity of Speech
- Disentangling Instructive Information from Ranked Multiple Candidates for Multi-Document Scientific Summarization
- VDTuner: Automated Performance Tuning for Vector Data Management Systems
- Adversarial Identity Injection for Semantic Face Image Synthesis
- Comprehensive Survey of Model Compression and Speed up for Vision Transformers
- Integration of Self-Supervised BYOL in Semi-Supervised Medical Image Recognition
- A Phone-based Distributed Ambient Temperature Measurement System with An Efficient Label-free Automated Training Strategy
- CNN-based explanation ensembling for dataset, representation and explanations evaluation
- I/O in Machine Learning Applications on HPC Systems: A 360-degree Survey
- Learning to Score Sign Language with Two-stage Method
- Second Edition FRCSyn Challenge at CVPR 2024: Face Recognition Challenge in the Era of Synthetic Data
- Know Yourself Better: Diverse Object-Related Features Improve Open Set Recognition
- Learning Wireless Data Knowledge Graph for Green Intelligent Communications: Methodology and Experiments
- A Survey on Data-Driven Fault Diagnostic Techniques for Marine Diesel Engines
- Improving Bracket Image Restoration and Enhancement with Flow-guided Alignment and Enhanced Feature Aggregation
- Physical formula enhanced multi-task learning for pharmacokinetics prediction
- Rethinking the Graph Polynomial Filter via Positive and Negative Coupling Analysis
- On the Use of Relative Validity Indices for Comparing Clustering Approaches
- The Ninth NTIRE 2024 Efficient Super-Resolution Challenge Report
- Referring Flexible Image Restoration
- Asset management, condition monitoring and Digital Twins: damage detection and virtual inspection on a reinforced concrete bridge
- Understanding Token-level Topological Structures in Transformer-based Time Series Forecasting
- Towards Complex Ontology Alignment using Large Language Models
- Graph neural network-based surrogate modelling for real-time hydraulic prediction of urban drainage networks
- Domain-Rectifying Adapter for Cross-Domain Few-Shot Segmentation
- CARE to Compare: A real-world dataset for anomaly detection in wind turbine data
- Application of Deep Learning Methods to Processing of Noisy Medical Video Data
- SRGS: Super-Resolution 3D Gaussian Splatting
- LLMs4OM: Matching Ontologies with Large Language Models
- Enhancing Confidence Expression in Large Language Models Through Learning from Past Experience
- Awareness of uncertainty in classification using a multivariate model and multi-views
- Learning and Optimization for Price-based Demand Response of Electric Vehicle Charging
- Wireless Earphone-based Real-Time Monitoring of Breathing Exercises: A Deep Learning Approach
- Hierarchical Context Merging: Better Long Context Understanding for Pre-trained LLMs
- Learnable Prompt for Few-Shot Semantic Segmentation in Remote Sensing Domain
- TC-OCR: TableCraft OCR for Efficient Detection & Recognition of Table Structure & Content
- LLM-Powered Test Case Generation for Detecting Bugs in Plausible Programs
- Clustering and Data Augmentation to Improve Accuracy of Sleep Assessment and Sleep Individuality Analysis
- Future Language Modeling from Temporal Document History
- Interpolating neural network: A novel unification of machine learning and interpolation theory
- From Data Deluge to Data Curation: A Filtering-WoRA Paradigm for Efficient Text-based Person Search
- NeuroMorphix: A Novel Brain MRI Asymmetry-specific Feature Construction Approach For Seizure Recurrence Prediction
- The Dearth of the Author in AI-Supported Writing
- Tripod: Three Complementary Inductive Biases for Disentangled Representation Learning
- AI-Assisted Writing in Education: Ecosystem Risks and Mitigations
- OptiGrad: A Fair and more Efficient Price Elasticity Optimization via a Gradient Based Learning
- Sparse Attention Regression Network Based Soil Fertility Prediction With Ummaso
- Plug-and-Play Acceleration of Occupancy Grid-based NeRF Rendering using VDB Grid and Hierarchical Ray Traversal
- Modeling Low-Resource Health Coaching Dialogues via Neuro-Symbolic Goal Summarization and Text-Units-Text Generation
- PreGSU-A Generalized Traffic Scene Understanding Model for Autonomous Driving based on Pre-trained Graph Attention Network
- Lighter, Better, Faster Multi-Source Domain Adaptation with Gaussian Mixture Models and Optimal Transport
- HelixFold-Multimer: Elevating Protein Complex Structure Prediction to New Heights
- Uncovering Latent Arguments in Social Media Messaging by Employing LLMs-in-the-Loop Strategy
- Privacy-Enhanced Training-as-a-Service for On-Device Intelligence: Concept, Architectural Scheme, and Open Problems
- Masked Autoencoders for Microscopy are Scalable Learners of Cellular Biology
- Vision-and-Language Navigation via Causal Learning
- Compressible and Searchable: AI-native Multi-Modal Retrieval System with Learned Image Compression
- Generative Text Steganography with Large Language Model
- Two-Stage Stance Labeling: User-Hashtag Heuristics with Graph Neural Networks
- MS-MANO: Enabling Hand Pose Tracking with Biomechanical Constraints
- Rethinking Software Engineering in the Foundation Model Era: From Task-Driven AI Copilots to Goal-Driven AI Pair Programmers
- Closed-Loop Open-Vocabulary Mobile Manipulation with GPT-4V
- Autonomous Implicit Indoor Scene Reconstruction with Frontier Exploration
- GaitPoint+: A Gait Recognition Network Incorporating Point Cloud Analysis and Recycling
- LWIRPOSE: A novel LWIR Thermal Image Dataset and Benchmark
- Anomaly Correction of Business Processes Using Transformer Autoencoder
- MK-SGN: A Spiking Graph Convolutional Network with Multimodal Fusion and Knowledge Distillation for Skeleton-based Action Recognition
- Demonstration of DB-GPT: Next Generation Data Interaction System Empowered by Large Language Models
- HELLINGER-UCB: A novel algorithm for stochastic multi-armed bandit problem and cold start problem in recommender system
- The Impact of Machine Learning on Society: An Analysis of Current Trends and Future Implications
- Towards a Novel Perspective on Adversarial Examples Driven by Frequency
- Private Vector Mean Estimation in the Shuffle Model: Optimal Rates Require Many Messages
- TEL'M: Test and Evaluation of Language Models
- CULTURE-GEN: Revealing Global Cultural Perception in Language Models through Natural Language Prompting
- Smart Pilot Assignment for IoT in Massive MIMO Systems: A Path Towards Scalable IoT Infrastructure