Papers
Tue 26 Mar 2024
336 papers
- Leveraging Large Language Models in Human-Robot Interaction: A Critical Analysis of Potential and PitfallsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Compressed Federated Reinforcement Learning with a Generative ModelDeep reinforcement learning methods → RL for energy, networks and operations
- Oh! We Freeze: Improving Quantized Knowledge Distillation via Signal Propagation Analysis for Large Language ModelsDiffusion models → Diffusion foundations and sampling +1
- Pseudo-MRI-Guided PET Image Reconstruction Method Based on a Diffusion Probabilistic ModelDiffusion models → Medical imaging and segmentation
- Don't Trust: Verify -- Grounding LLM Quantitative Reasoning with AutoformalizationLLM reasoning → Mathematical reasoning
- Tutorial on Diffusion Models for Imaging and VisionDiffusion models → Diffusion foundations and sampling
- Paths to Equilibrium in GamesDeep reinforcement learning methods → RL for games and combinatorial optimization
- Heracles: A Hybrid SSM-Transformer Model for High-Resolution Image and Time-Series AnalysisState-space sequence models (S4, Mamba) → Vision Mamba backbones
- Move as You Say, Interact as You Can: Language-guided Human Motion Generation with Scene AffordanceDiffusion models → Video generation
- Bidirectional Consistency ModelsDiffusion models → Diffusion foundations and sampling
- Mixing Artificial and Natural Intelligence: From Statistical Mechanics to AI and Back to TurbulenceDiffusion models → Flow matching, time series and science
- MAGIS: LLM-Based Multi-Agent Framework for GitHub Issue ResolutionLLM agents and tool use → Software engineering coding agents
- AID: Attention Interpolation of Text-to-Image DiffusionDiffusion models → Image generation, text-to-image and editing
- Serpent: Scalable and Efficient Image Restoration via Multi-scale Structured State Space ModelsState-space sequence models (S4, Mamba) → Mamba for image restoration
- The Unreasonable Ineffectiveness of the Deeper LayersLLM reasoning → Test-time compute and efficient thinking
- Boosting Diffusion Models with Moving Average Sampling in Frequency DomainDiffusion models → Diffusion foundations and sampling
- Illuminating Blind Spots of Language Models with Targeted Agent-in-the-Loop Synthetic DataLLM agents and tool use → General LLM agent frameworks and benchmarks +1
- TractOracle: towards an anatomically-informed reward function for RL-based tractographyDeep reinforcement learning methods → RL for clinical treatment and surgery
- ReMamber: Referring Image Segmentation with Mamba TwisterState-space sequence models (S4, Mamba) → Vision Mamba backbones
- Learning the Optimal Power Flow: Environment Design MattersDeep reinforcement learning methods → RL for energy, networks and operations
- Assessment of Multimodal Large Language Models in Alignment with Human ValuesMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
- DiffH2O: Diffusion-Based Synthesis of Hand-Object Interactions from Textual DescriptionsDiffusion models → Diffusion and flow policies for robotics
- Annotated Biomedical Video Generation using Denoising Diffusion Probabilistic Models and Flow FieldsDiffusion models → Medical imaging and segmentation
- Evaluating the Efficacy of Prompt-Engineered Large Multimodal Models Versus Fine-Tuned Vision Transformers in Image-Based Security ApplicationsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- GenesisTex: Adapting Image Denoising Diffusion to Texture SpaceDiffusion models → 3D, point cloud and scene generation
- Secure Aggregation is Not Private Against Membership Inference AttacksLLM safety and security → Federated unlearning and poisoning
- CT Synthesis with Conditional Diffusion Models for Abdominal Lymph Node SegmentationDiffusion models → Medical imaging and segmentation
- Constructions Are So Difficult That Even Large Language Models Get Them Right for the Wrong ReasonsLLM reasoning → Reasoning benchmarks and evaluation
- Multi-Task Dense Prediction via Mixture of Low-Rank ExpertsMixture-of-experts → Mixture of LoRA experts
- Paired Diffusion: Generation of related, synthetic PET-CT-Segmentation scans using Linked Denoising Diffusion Probabilistic ModelsDiffusion models → Medical imaging and segmentation
- Tiny Models are the Computational Saver for Large ModelsEfficient LLM inference and serving → Early exit and edge inference
- Optimization-based Prompt Injection Attack to LLM-as-a-JudgeLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment +1
- Rotate to Scan: UNet-like Mamba with Triplet SSM Module for Medical Image SegmentationState-space sequence models (S4, Mamba) → Mamba for medical image analysis
- PlainMamba: Improving Non-Hierarchical Mamba in Visual RecognitionState-space sequence models (S4, Mamba) → Vision Mamba backbones
- Manifold-Guided Lyapunov Control with Diffusion ModelsDiffusion models → Diffusion and flow policies for robotics
- Large Language Models Enhanced Collaborative FilteringLLM reasoning → LLM reasoning for recommendation
- Depending on yourself when you should: Mentoring LLM with RL agents to become the master in cybersecurity gamesLLM agents and tool use → Agent threats, guardrails and governance
- Diffusion Policies for Risk-Averse Behavior Modeling in Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
- PeersimGym: An Environment for Solving the Task Offloading Problem with Reinforcement LearningDeep reinforcement learning methods → RL for energy, networks and operations
- Retentive Decision Transformer with Adaptive Masking for Reinforcement Learning based Recommendation SystemsOffline RL and imitation learning from data → Decision transformers and sequence modeling +1
- LASIL: Learner-Aware Supervised Imitation Learning For Long-term Microscopic Traffic SimulationOffline RL and imitation learning from data → Imitation and offline RL for driving
- Dual Memory Networks: A Versatile Adaptation Approach for Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- VDSC: Enhancing Exploration Timing with Value Discrepancy and State CountsDeep reinforcement learning methods → Deep RL algorithms and representations
- BVR Gym: A Reinforcement Learning Environment for Beyond-Visual-Range Air CombatDeep reinforcement learning methods → RL for robot navigation and UAV control
- DGoT: Dynamic Graph of Thoughts for Scientific Abstract GenerationLLM reasoning → Prompting and chain-of-thought reasoning
- KDMCSE: Knowledge Distillation Multimodal Sentence Embeddings with Adaptive Angular margin Contrastive LearningKnowledge distillation → Knowledge distillation for LLMs
- DiffGaze: A Diffusion Model for Continuous Gaze Sequence Generation on 360deg ImagesDiffusion models → Video generation
- LaRE2: Latent Reconstruction Error Based Method for Diffusion-Generated Image DetectionDiffusion models → Image generation, text-to-image and editing
- Building Bridges across Spatial and Temporal Resolutions: Reference-Based Super-Resolution via Change Priors and Conditional Diffusion ModelDiffusion models → Inverse problems and image restoration
- Imitating Cost-Constrained Behaviors in Reinforcement LearningOffline RL and imitation learning from data → Imitation learning methods +1
- Integrating Mamba Sequence Model and Hierarchical Upsampling Network for Accurate Semantic Segmentation of Multiple Sclerosis LegionState-space sequence models (S4, Mamba) → Mamba for medical image analysis
- InterHandGen: Two-Hand Interaction Generation via Cascaded Reverse DiffusionDiffusion models → Diffusion and flow policies for robotics
- PCToolkit: A Unified Plug-and-Play Prompt Compression Toolkit of Large Language ModelsEfficient LLM inference and serving → Prompt and context compression
- Generalization Error Analysis for Sparse Mixture-of-Experts: A Preliminary StudyMixture-of-experts → MoE theory and gating functions
- An Open-source End-to-End Logic Optimization Framework for Large-scale Boolean Network with Reinforcement LearningDeep reinforcement learning methods → Interpretable and logic-guided RL
- Self-Rectifying Diffusion Sampling with Perturbed-Attention GuidanceDiffusion models → Diffusion foundations and sampling
- AIDE: An Automatic Data Engine for Object Detection in Autonomous DrivingEnd-to-end autonomous driving → VLMs for autonomous driving
- Chain-of-Action: Faithful and Multimodal Question Answering through Large Language ModelsRetrieval-augmented generation → Multimodal RAG
- Reinforcement Learning-based Receding Horizon Control using Adaptive Control Barrier Functions for Safety-Critical SystemsDeep reinforcement learning methods → Safe and constrained RL
- Don't Listen To Me: Understanding and Exploring Jailbreak Prompts of Large Language ModelsLLM safety and security → Jailbreaking
- OVER-NAV: Elevating Iterative Vision-and-Language Navigation with Open-Vocabulary Detection and StructurEd RepresentationWorld models → World models for navigation
- Leveraging Symmetry in RL-based Legged Locomotion ControlDeep reinforcement learning methods → RL for robot locomotion and manipulation
- InternLM2 Technical ReportLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Introducing Syllable Tokenization for Low-resource Languages: A Case Study with Swahili
- Sketch2Prototype: Rapid Conceptual Design Exploration and Prototyping with Generative AI
- Multimodal CLIP Inference for Meta-Few-Shot Image Classification
- Untangling Knots: Leveraging LLM for Error Resolution in Computational Notebooks
- Multi-stream Transmission for Directional Modulation Network via Distributed Multi-UAV-aided Multi-active-IRS
- Maximum Discrepancy Generative Regularization and Non-Negative Matrix Factorization for Single Channel Source Separation
- Domain Adaptation in Intent Classification Systems: A Review
- PerOS: Personalized Self-Adapting Operating Systems in the Cloud
- Fingerprinting web servers through Transformer-encoded HTTP response headers
- Choreographing the Digital Canvas: A Machine Learning Approach to Artistic Performance
- NJUST-KMG at TRAC-2024 Tasks 1 and 2: Offline Harm Potential Identification
- Predicting risk of cardiovascular disease using retinal OCT imaging
- Targeted Visualization of the Backbone of Encoder LLMs
- Clinical Domain Knowledge-Derived Template Improves Post Hoc AI Explanations in Pneumothorax Classification
- SugarcaneNet: An Optimized Ensemble of LASSO-Regularized Pre-trained Models for Accurate Disease Classification
- The Effects of Short Video-Sharing Services on Video Copy Detection
- Large Language Models as Financial Data Annotators: A Study on Effectiveness and Efficiency
- Automated Description Generation of Cytologic Findings for Lung Cytological Images Using a Pretrained Vision Model and Dual Text Decoders: Preliminary Study
- Large Language Models Produce Responses Perceived to be Empathic
- Divide, Conquer, Combine Bayesian Decision Tree Sampling
- A Real-Time Rescheduling Algorithm for Multi-robot Plan Execution
- Leak and Learn: An Attacker's Cookbook to Train Using Leaked Data from Federated Learning
- HERTA: A High-Efficiency and Rigorous Training Algorithm for Unfolded Graph Neural Networks
- Juru: Legal Brazilian Large Language Model from Reputable Sources
- Identifying Backdoored Graphs in Graph Neural Network Training: An Explanation-Based Approach with Novel Metrics
- Integrative Graph-Transformer Framework for Histopathology Whole Slide Image Representation and Classification
- AE SemRL: Learning Semantic Association Rules with Autoencoders
- Recommendation of data-free class-incremental learning algorithms by simulating future data
- HealthGAT: Node Classifications in Electronic Health Records using Graph Attention Networks
- A Correction of Pseudo Log-Likelihood Method
- For those who don't know (how) to ask: Building a dataset of technology questions for digital newcomers
- ChatGPT Role-play Dataset: Analysis of User Motives and Model Naturalness
- EgoLifter: Open-world 3D Segmentation for Egocentric Perception
- TDIP: Tunable Deep Image Processing, a Real Time Melt Pool Monitoring Solution
- QuakeSet: A Dataset and Low-Resource Models to Monitor Earthquakes through Sentinel-1
- Segment Any Medical Model Extended
- Large Language Models for Education: A Survey and Outlook
All 336
- Mathematical Foundation and Corrections for Full Range Head Pose Estimation
- Towards Explainable Clustering: A Constrained Declarative based Approach
- Driving Intelligent IoT Monitoring and Control through Cloud Computing and Machine Learning
- GPTs and Language Barrier: A Cross-Lingual Legal QA Examination
- Efficient Multi-Band Temporal Video Filter for Reducing Human-Robot Interaction
- A Personalized Video-Based Hand Taxonomy: Application for Individuals with Spinal Cord Injury
- Enhancing Legal Document Retrieval: A Multi-Phase Approach with Large Language Models
- OCAI: Improving Optical Flow Estimation by Occlusion and Consistency Aware Interpolation
- EgoPoseFormer: A Simple Baseline for Stereo Egocentric 3D Human Pose Estimation
- Every Shot Counts: Using Exemplars for Repetition Counting in Videos
- Goal-Oriented Bayesian Optimal Experimental Design for Nonlinear Models using Markov Chain Monte Carlo
- State of the art applications of deep learning within tracking and detecting marine debris: A survey
- ShapeGrasp: Zero-Shot Task-Oriented Grasping with Large Language Models through Geometric Decomposition
- COIG-CQIA: Quality is All You Need for Chinese Instruction Fine-tuning
- Prioritized League Reinforcement Learning for Large-Scale Heterogeneous Multiagent Systems
- Self-Clustering Hierarchical Multi-Agent Reinforcement Learning with Extensible Cooperation Graph
- R2D2 image reconstruction with model uncertainty quantification in radio astronomy
- Supervisory Prompt Training
- Deep polytopic autoencoders for low-dimensional linear parameter-varying approximations and nonlinear feedback design
- Global Point Cloud Registration Network for Large Transformations
- TGGLinesPlus: A robust topological graph-guided computer vision algorithm for line detection from images
- SpectralWaste Dataset: Multimodal Data for Waste Sorting Automation
- The Impact of Syntactic and Semantic Proximity on Machine Translation with Back-Translation
- Predicting Species Occurrence Patterns from Partial Observations
- Democratizing Advanced High-Throughput Imaging via Cross-Instrument Deep Learning-Enabled Modality Transfer
- Improving Pre-trained Language Model Sensitivity via Mask Specific losses: A case study on Biomedical NER
- Enriching Word Usage Graphs with Cluster Definitions
- DORE: A Dataset For Portuguese Definition Generation
- Text Is MASS: Modeling as Stochastic Embedding for Text-Video Retrieval
- Semi-Supervised Image Captioning Considering Wasserstein Graph Matching
- Solution for Point Tracking Task of ICCV 1st Perception Test Challenge 2023
- Interpretable cancer cell detection with phonon microscopy using multi-task conditional neural networks for inter-batch calibration
- Efficient Video Object Segmentation via Modulated Cross-Attention Memory
- ConvoFusion: Multi-Modal Conversational Diffusion for Co-Speech Gesture Synthesis
- OmniVid: A Generative Framework for Universal Video Understanding
- AiOS: All-in-One-Stage Expressive Human Pose and Shape Estimation
- SLEDGE: Synthesizing Driving Environments with Generative Models and Rule-Based Traffic
- Track Everything Everywhere Fast and Robustly
- Towards Explaining Hypercomplex Neural Networks
- FastCAR: Fast Classification And Regression Multi-Task Learning via Task Consolidation for Modelling a Continuous Property Variable of Object Classes
- The Need for Speed: Pruning Transformers with One Recipe
- TC4D: Trajectory-Conditioned Text-to-4D Generation
- LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuning
- AgentStudio: A Toolkit for Building General Virtual Agents
- CMP: Cooperative Motion Prediction with Multi-Agent Communication
- Leveraging Near-Field Lighting for Monocular Depth Estimation from Endoscopy Videos
- Hierarchical Multi-label Classification for Fine-level Event Extraction from Aviation Accident Reports
- ELGC-Net: Efficient Local-Global Context Aggregation for Remote Sensing Change Detection
- Scalable Non-Cartesian Magnetic Resonance Imaging with R2D2
- Octree-GS: Towards Consistent Real-time Rendering with LOD-Structured 3D Gaussians
- A Survey on 3D Egocentric Human Pose Estimation
- Image-based Novel Fault Detection with Deep Learning Classifiers using Hierarchical Labels
- Large scale paired antibody language models
- 2D Gaussian Splatting for Geometrically Accurate Radiance Fields
- Neural Embedding Compression For Efficient Multi-Task Earth Observation Modelling
- Sen2Fire: A Challenging Benchmark Dataset for Wildfire Detection using Sentinel Data
- Superior and Pragmatic Talking Face Generation with Teacher-Student Framework
- Deepfake Generation and Detection: A Benchmark and Survey
- Low-Latency Neural Stereo Streaming
- Empowering Data Mesh with Federated Learning
- Addressing Social Misattributions of Large Language Models: An HCXAI-based Approach
- To Supervise or Not to Supervise: Understanding and Addressing the Key Challenges of Point Cloud Transfer Learning
- An invitation to the sample complexity of quantum hypothesis testing
- ChroniclingAmericaQA: A Large-scale Question Answering Dataset based on Historical American Newspaper Pages
- Verbing Weirds Language (Models): Evaluation of English Zero-Derivation in Five LLMs
- Using Domain Knowledge to Guide Dialog Structure Induction via Neural Probabilistic Soft Logic
- Counterfactual Fairness through Transforming Data Orthogonal to Bias
- ArabicaQA: A Comprehensive Dataset for Arabic Question Answering
- Climate Downscaling: A Deep-Learning Based Super-resolution Model of Precipitation Data with Attention Block and Skip Connections
- Hierarchical Open-Vocabulary 3D Scene Graphs for Language-Grounded Robot Navigation
- Mechanistic Design and Scaling of Hybrid Architectures
- GTA-HDR: A Large-Scale Synthetic Dataset for HDR Image Reconstruction
- Generalist Foundation Models from a Multimodal Dataset for 3D Computed Tomography
- GPFL: A Gradient Projection-Based Client Selection Framework for Efficient Federated Learning
- On the Computational Complexity of Stackelberg Planning and Meta-Operator Verification: Technical Report
- Efficient Image Pre-Training with Siamese Cropped Masked Autoencoders
- DN-Splatter: Depth and Normal Priors for Gaussian Splatting and Meshing
- Towards Multilevel Modelling of Train Passing Events on the Staffordshire Bridge
- Accelerating Radio Spectrum Regulation Workflows with Large Language Models (LLMs)
- Graph Language Model (GLM): A new graph-based approach to detect social instabilities
- D-PAD: Deep-Shallow Multi-Frequency Patterns Disentangling for Time Series Forecasting
- Are Compressed Language Models Less Subgroup Robust?
- Have Faith in Faithfulness: Going Beyond Circuit Overlap When Finding Model Mechanisms
- Scenario-Based Curriculum Generation for Multi-Agent Autonomous Driving
- Improving Text-to-Image Consistency via Automatic Prompt Optimization
- Towards 3D Vision with Low-Cost Single-Photon Cameras
- SciCapenter: Supporting Caption Composition for Scientific Figures with Machine-Generated Captions and Ratings
- Towards a FAIR Documentation of Workflows and Models in Applied Mathematics
- SciNews: From Scholarly Complexities to Public Narratives -- A Dataset for Scientific News Report Generation
- Asymptotic Bayes risk of semi-supervised learning with uncertain labeling
- MUTE-SLAM: Real-Time Neural SLAM with Multiple Tri-Plane Hash Representations
- Makeup Prior Models for 3D Facial Makeup Estimation and Applications
- Noise2Noise Denoising of CRISM Hyperspectral Data
- DataCook: Crafting Anti-Adversarial Examples for Healthcare Data Copyright Protection
- CCDSReFormer: Traffic Flow Prediction with a Criss-Crossed Dual-Stream Enhanced Rectified Transformer Model
- Can multiple-choice questions really be useful in detecting the abilities of LLMs?
- UCxn: Typologically Informed Annotation of Constructions Atop Universal Dependencies
- Leave No Patient Behind: Enhancing Medication Recommendation for Rare Disease Patients
- Using Stratified Sampling to Improve LIME Image Explanations
- All-in-One: Heterogeneous Interaction Modeling for Cold-Start Rating Prediction
- Out-of-distribution Rumor Detection via Test-Time Adaptation
- Continual Few-shot Event Detection via Hierarchical Augmentation Networks
- EulerFormer: Sequential User Behavior Modeling with Complex Vector Attention
- Masked Autoencoders are PDE Learners
- FastPerson: Enhancing Video Learning through Effective Video Summarization that Preserves Linguistic and Visual Contexts
- Deep Learning for Segmentation of Cracks in High-Resolution Images of Steel Bridges
- Invisible Gas Detection: An RGB-Thermal Cross Attention Network and A New Benchmark
- Groupwise Query Specialization and Quality-Aware Multi-Assignment for Transformer-based Visual Relationship Detection
- Panonut360: A Head and Eye Tracking Dataset for Panoramic Video
- A Large Language Model Guided Topic Refinement Mechanism for Short Text Modeling
- The Solution for the CVPR 2023 1st foundation model challenge-Track2
- MEP: Multiple Kernel Learning Enhancing Relative Positional Encoding Length Extrapolation
- AniPortrait: Audio-Driven Synthesis of Photorealistic Portrait Animation
- ExpressEdit: Video Editing with Natural Language and Sketching
- Not All Similarities Are Created Equal: Leveraging Data-Driven Biases to Inform GenAI Copyright Disputes
- Solution for Emotion Prediction Competition of Workshop on Emotionally and Culturally Intelligent AI
- Hierarchical Light Transformer Ensembles for Multimodal Trajectory Forecasting
- Onboard deep lossless and near-lossless predictive coding of hyperspectral images with line-based attention
- How Private are DP-SGD Implementations?
- Predicting Perceived Gloss: Do Weak Labels Suffice?
- DiffFAE: Advancing High-fidelity One-shot Facial Appearance Editing with Space-sensitive Customization and Semantic Preservation
- Language Models for Text Classification: Is In-Context Learning Enough?
- CANOS: A Fast and Scalable Neural AC-OPF Solver Robust To N-1 Perturbations
- SGHormer: An Energy-Saving Graph Transformer Driven by Spikes
- An Extension-based Approach for Computing and Verifying Preferences in Abstract Argumentation
- Exploring Dynamic Transformer for Efficient Object Tracking
- Intrinsic Subgraph Generation for Interpretable Graph based Visual Question Answering
- DANCER: Entity Description Augmented Named Entity Corrector for Automatic Speech Recognition
- S+t-SNE -- Bringing Dimensionality Reduction to Data Streams
- REFeREE: A REference-FREE Model-Based Metric for Text Simplification
- High-Resolution Image Translation Model Based on Grayscale Redefinition
- Learning with Unreliability: Fast Few-shot Voxel Radiance Fields with Relative Geometric Consistency
- Mix-Initiative Response Generation with Dynamic Prefix Tuning
- UADA3D: Unsupervised Adversarial Domain Adaptation for 3D Object Detection with Sparse LiDAR and Large Domain Gaps
- Data-driven Energy Consumption Modelling for Electric Micromobility using an Open Dataset
- AniArtAvatar: Animatable 3D Art Avatar from a Single Image
- Grad-CAMO: Learning Interpretable Single-Cell Morphological Profiles from 3D Cell Painting Images
- "You are an expert annotator": Automatic Best-Worst-Scaling Annotations for Emotion Intensity Modeling
- Denoising Table-Text Retrieval for Open-Domain Question Answering
- MMVP: A Multimodal MoCap Dataset with Vision and Pressure Sensors
- Fake or JPEG? Revealing Common Biases in Generated Image Detection Datasets
- Fully-fused Multi-Layer Perceptrons on Intel Data Center GPUs
- Coimagining the Future of Voice Assistants with Cultural Sensitivity
- On the Benefits of Over-parameterization for Out-of-Distribution Generalization
- Forest-ORE: Mining Optimal Rule Ensemble to interpret Random Forest models
- Parameterized Analysis of Bribery in Challenge the Champ Tournaments
- Towards a Zero-Data, Controllable, Adaptive Dialog System
- Enhancing Privacy in Federated Learning through Local Training
- Task-Oriented Paraphrase Analytics
- A Survey on State-of-the-art Deep Learning Applications and Challenges
- m3P: Towards Multimodal Multilingual Translation with Multimodal Prompt
- RuBia: A Russian Language Bias Detection Dataset
- Naive Bayes-based Context Extension for Large Language Models
- DeepMIF: Deep Monotonic Implicit Fields for Large-Scale LiDAR 3D Mapping
- Practical Applications of Advanced Cloud Services and Generative AI Systems in Medical Image Analysis
- Decoding excellence: Mapping the demand for psychological traits of operations and supply chain professionals through text mining
- A Gaze-grounded Visual Question Answering Dataset for Clarifying Ambiguous Japanese Questions
- WordRobe: Text-Guided Generation of Textured 3D Garments
- Large Language Models Are State-of-the-Art Evaluator for Grammatical Error Correction
- NeRF-HuGS: Improved Neural Radiance Fields in Non-static Scenes Using Heuristics-Guided Segmentation
- ILLUMINER: Instruction-tuned Large Language Models as Few-shot Intent Classifier and Slot Filler
- Sparse Logistic Regression with High-order Features for Automatic Grammar Rule Extraction from Treebanks
- KC-GenRe: A Knowledge-constrained Generative Re-ranking Method Based on Large Language Models for Knowledge Graph Completion
- Boosting Few-Shot Learning with Disentangled Self-Supervised Learning and Meta-Learning for Medical Image Classification
- Multilingual Sentence-T5: Scalable Sentence Encoders for Multilingual Applications
- Equipping Sketch Patches with Context-Aware Positional Encoding for Graphic Sketch Representation
- Provably Secure Disambiguating Neural Linguistic Steganography
- Boosting Adversarial Training via Fisher-Rao Norm-based Regularization
- MapGuide: A Simple yet Effective Method to Reconstruct Continuous Language from Brain Activities
- Prediction-sharing During Training and Inference
- Random-coupled Neural Network
- Ensemble Learning of Machine Learning Force Fields
- DS-AL: A Dual-Stream Analytic Learning for Exemplar-Free Class-Incremental Learning
- SeNM-VAE: Semi-Supervised Noise Modeling with Hierarchical Variational Autoencoder
- Variational Graph Auto-Encoder Based Inductive Learning Method for Semi-Supervised Classification
- Sharing the Cost of Success: A Game for Evaluating and Learning Collaborative Multi-Agent Instruction Giving and Following Policies
- Dr.Hair: Reconstructing Scalp-Connected Hair Strands without Pre-training via Differentiable Rendering of Line Segments
- Capacity Provisioning Motivated Online Non-Convex Optimization Problem with Memory and Switching Cost
- Natural Language Requirements Testability Measurement Based on Requirement Smells
- A Unified Kernel for Neural Network Learning
- Expectations Versus Reality: Evaluating Intrusion Detection Systems in Practice
- Order of Compression: A Systematic and Optimal Sequence to Combinationally Compress CNN
- Incorporating Exponential Smoothing into MLP: A Simple but Effective Sequence Model
- Particle identification with machine learning from incomplete data in the ALICE experiment
- Robust and Scalable Model Editing for Large Language Models
- Aligning Large Language Models for Enhancing Psychiatric Interviews Through Symptom Delineation and Summarization: Pilot Study
- Knowledge-Powered Recommendation for an Improved Diet Water Footprint
- Masked Multi-Domain Network: Multi-Type and Multi-Scenario Conversion Rate Prediction with a Single Model
- Test-time Adaptation Meets Image Enhancement: Improving Accuracy via Uncertainty-aware Logit Switching
- MA4DIV: Multi-Agent Reinforcement Learning for Search Result Diversification
- Learning to Visually Localize Sound Sources from Mixtures without Prior Source Knowledge
- AI Safety: Necessary, but insufficient and possibly problematic
- LM-Combiner: A Contextual Rewriting Model for Chinese Grammatical Error Correction
- On permutation-invariant neural networks
- Neural Clustering based Visual Representation Learning
- Transcribing Bengali Text with Regional Dialects to IPA using District Guided Tokens
- SSF3D: Strict Semi-Supervised 3D Object Detection with Switching Filter
- Decoupled Pseudo-labeling for Semi-Supervised Monocular 3D Object Detection
- ELLEN: Extremely Lightly Supervised Learning For Efficient Named Entity Recognition
- Explainable Graph Neural Networks for Observation Impact Analysis in Atmospheric State Estimation
- Application-Driven Innovation in Machine Learning
- CoDA: Instructive Chain-of-Domain Adaptation with Severity-Aware Visual Prompt Tuning
- ChatGPT Rates Natural Language Explanation Quality Like Humans: But on Which Scales?
- A Moreau Envelope Approach for LQR Meta-Policy Estimation
- Extracting Biomedical Entities from Noisy Audio Transcripts
- Bridging Textual and Tabular Worlds for Fact Verification: A Lightweight, Attention-Based Model
- Activity-Biometrics: Person Identification from Daily Activities
- Addressing Myopic Constrained POMDP Planning with Recursive Dual Ascent
- MESIA: Understanding and Leveraging Supplementary Nature of Method-level Comments for Automatic Comment Generation
- Multi-Objective Trajectory Planning with Dual-Encoder
- Learn from Heterophily: Heterophilous Information-enhanced Graph Neural Network
- The Solution of the Zodiac Killer's 340-Character Cipher
- TRAM: Global Trajectory and Motion of 3D Humans from in-the-wild Videos
- Disambiguate Entity Matching using Large Language Models through Relation Discovery
- Residual-based Language Models are Free Boosters for Biomedical Imaging
- The Solution for the ICCV 2023 1st Scientific Figure Captioning Challenge
- The Pursuit of Fairness in Artificial Intelligence Models: A Survey
- Labeling subtypes in a Parkinson's Cohort using Multifeatures in MRI -- Integrating Grey and White Matter Information
- Staircase Localization for Autonomous Exploration in Urban Environments
- Deep Support Vectors
- Learning Traffic Signal Control via Genetic Programming
- Accuracy enhancement method for speech emotion recognition from spectrogram using temporal frequency correlation and positional information learning through knowledge transfer
- JMultiWOZ: A Large-Scale Japanese Multi-Domain Task-Oriented Dialogue Dataset
- Project MOSLA: Recording Every Moment of Second Language Acquisition
- ALISA: Accelerating Large Language Model Inference via Sparsity-Aware KV Caching
- Neural Multimodal Topic Modeling: A Comprehensive Evaluation
- HILL: Hierarchy-aware Information Lossless Contrastive Learning for Hierarchical Text Classification
- Visual Hallucination: Definition, Quantification, and Prescriptive Remediations
- Physical 3D Adversarial Attacks against Monocular Depth Estimation in Autonomous Driving
- Decoding Probing: Revealing Internal Linguistic Structures in Neural Language Models using Minimal Pairs
- Hawk: Accurate and Fast Privacy-Preserving Machine Learning Using Secure Lookup Table Computation
- Tracing and segmentation of molecular patterns in 3-dimensional cryo-et/em density maps through algorithmic image processing and deep learning-based techniques
- Not All Federated Learning Algorithms Are Created Equal: A Performance Evaluation Study
- Unraveling the Interplay between Carryover Effects and Reward Autocorrelations in Switchback Experiments
- Common Ground Tracking in Multimodal Dialogue
- Automate Knowledge Concept Tagging on Math Questions with LLMs