Papers
Thu 14 Mar 2024
305 papers
- Towards Faster Training of Diffusion Models: An Inspiration of A Consistency PhenomenonDiffusion models → Diffusion foundations and sampling
- Incorporating Graph Attention Mechanism into Geometric Problem Solving Based on Deep Reinforcement LearningDeep reinforcement learning methods → RL for games and combinatorial optimization
- Cooling-Guide Diffusion Model for Battery Cell ArrangementDiffusion models → Diffusion foundations and sampling
- Recurrent Drafter for Fast Speculative Decoding in Large Language ModelsEfficient LLM inference and serving → Speculative decoding
- ProMark: Proactive Diffusion Watermarking for Causal AttributionLLM safety and security → Watermarking generated content and models
- DTG : Diffusion-based Trajectory Generation for Mapless Global NavigationDiffusion models → Diffusion and flow policies for robotics
- TimeMachine: A Time Series is Worth 4 Mambas for Long-term ForecastingState-space sequence models (S4, Mamba) → Time series forecasting with SSMs
- MAMBA: an Effective World Model Approach for Meta-Reinforcement LearningWorld models → Latent dynamics models and model-based RL +2
- Self-Consistency Boosts Calibration for Math ReasoningLLM reasoning → Mathematical reasoning
- Scaling Behavior of Machine Translation with Large Language Models under Prompt Injection AttacksLLM safety and security → Prompt injection and agent security
- Socially Integrated Navigation: A Social Acting Robot with Deep Reinforcement LearningDeep reinforcement learning methods → RL for robot navigation and UAV control
- Images are Achilles' Heel of Alignment: Exploiting Visual Vulnerabilities for Jailbreaking Multimodal Large Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +2
- An Image Is Worth 1000 Lies: Adversarial Transferability across Prompts on Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- Re-Search for The Truth: Multi-round Retrieval-augmented Large Language Models are Strong Fake News DetectorsRetrieval-augmented generation → RAG robustness and adaptive retrieval
- 3D-VLA: A 3D Vision-Language-Action Generative World ModelWorld models → Embodied and robot world models +1
- GenAD: Generalized Predictive Model for Autonomous DrivingWorld models → World models for autonomous driving +1
- Quiet-STaR: Language Models Can Teach Themselves to Think Before SpeakingLLM reasoning → Reasoning benchmarks and evaluation
- Video Mamba Suite: State Space Model as a Versatile Alternative for Video UnderstandingState-space sequence models (S4, Mamba) → Video, motion and generative Mamba models
- Score-Guided Diffusion for 3D Human RecoveryDiffusion models → 3D, point cloud and scene generation
- Minimax Optimal and Computationally Efficient Algorithms for Distributionally Robust Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
- Explore In-Context Segmentation via Latent Diffusion ModelsDiffusion models → Medical imaging and segmentation
- MM1: Methods, Analysis & Insights from Multimodal LLM Pre-trainingMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
- Optimistic Verifiable Training by Controlling Hardware NondeterminismLLM safety and security → Prompt injection and agent security
- Logical Discrete Graphical Models Must Supplement Large Language Models for Information SynthesisLLM reasoning → Knowledge- and tool-augmented reasoning
- Renovating Names in Open-Vocabulary Segmentation BenchmarksMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Eyes Closed, Safety On: Protecting Multimodal LLMs via Image-to-Text TransformationLLM reasoning → Reasoning for agents, planning and code +1
- Enhancing Trust in Autonomous Agents: An Architecture for Accountability and Explainability through Blockchain and Large Language ModelsLLM agents and tool use → Agent threats, guardrails and governance
- PreCurious: How Innocent Pre-Trained Language Models Turn into Privacy TrapsLLM safety and security → Membership inference attacks
- Less is More: High-value Data Selection for Visual Instruction TuningMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- VisionGPT-3D: A Generalized Multimodal Agent for Enhanced 3D Vision UnderstandingLLM agents and tool use → Multimodal and embodied agents
- MT-PATCHER: Selective and Extendable Knowledge Distillation from Large Language Models for Machine TranslationKnowledge distillation → Knowledge distillation for LLMs
- AdaShield: Safeguarding Multimodal Large Language Models from Structure-based Attack via Adaptive Shield PromptingMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- Anomaly Detection by Adapting a pre-trained Vision Language ModelMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- Laying the Foundation First? Investigating the Generalization from Atomic Skills to Complex Reasoning TasksLLM reasoning → Mathematical reasoning
- Easy-to-Hard Generalization: Scalable Alignment Beyond Human SupervisionLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- MambaTalk: Efficient Holistic Gesture Synthesis with Selective State Space ModelsState-space sequence models (S4, Mamba) → Video, motion and generative Mamba models
- Eta Inversion: Designing an Optimal Eta Function for Diffusion-based Real Image EditingDiffusion models → Image generation, text-to-image and editing
- Shake to Leak: Fine-tuning Diffusion Models Can Amplify the Generative Privacy RiskDiffusion models → Robustness, privacy and adversarial aspects
- LLM-based agents for automating the enhancement of user story quality: An early reportLLM agents and tool use → Software engineering coding agents
- XCoOp: Explainable Prompt Learning for Computer-Aided Diagnosis via Concept-guided Context OptimizationMultimodal LLMs / vision-language models → Medical vision-language models
- Mitigating Data Consistency Induced Discrepancy in Cascaded Diffusion Models for Sparse-view CT ReconstructionDiffusion models → Medical imaging and segmentation
- B-AVIBench: Towards Evaluating the Robustness of Large Vision-Language Model on Black-box Adversarial Visual-InstructionsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- LocalMamba: Visual State Space Model with Windowed Selective ScanState-space sequence models (S4, Mamba) → Vision Mamba backbones
- Video Editing via Factorized Diffusion DistillationDiffusion models → Video generation
- Griffon v2: Advancing Multimodal Perception with High-Resolution Scaling and Visual-Language Co-ReferringMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Knowledge Distillation in YOLOX-ViT for Side-Scan Sonar Object DetectionKnowledge distillation → Detection and dense prediction distillation
- Select and Distill: Selective Dual-Teacher Knowledge Transfer for Continual Learning on Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP +1
- Anatomical Structure-Guided Medical Vision-Language Pre-trainingMultimodal LLMs / vision-language models → Medical vision-language models
- Leveraging Constraint Programming in a Deep Learning Approach for Dynamically Solving the Flexible Job-Shop Scheduling ProblemDeep reinforcement learning methods → RL for energy, networks and operations
- XReal: Realistic Anatomy and Pathology-Aware X-ray Generation via Controllable Diffusion ModelDiffusion models → Medical imaging and segmentation
- Retrieval augmented text-to-SQL generation for epidemiological question answering using electronic health recordsRetrieval-augmented generation → Medical and biomedical RAG
- Can We Talk Models Into Seeing the World Differently?Multimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Intention-aware Denoising Diffusion Model for Trajectory PredictionDiffusion models → Diffusion and flow policies for robotics
- Switch Diffusion Transformer: Synergizing Denoising Tasks with Sparse Mixture-of-ExpertsDiffusion models → Diffusion foundations and sampling +1
- VM-UNET-V2 Rethinking Vision Mamba UNet for Medical Image SegmentationState-space sequence models (S4, Mamba) → Mamba for medical image analysis
- Sculpt3D: Multi-View Consistent Text-to-3D Generation with Sparse 3D PriorDiffusion models → 3D, point cloud and scene generation
- SINDy-RL: Interpretable and Efficient Model-Based Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
- Meaningful Learning: Enhancing Abstract Reasoning in Large Language Models via Generic Fact GuidanceLLM reasoning → Reasoning benchmarks and evaluation
- UniCode: Learning a Unified Codebook for Multimodal Large Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- SemanticDraw: Towards Real-Time Interactive Content Creation from Image Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- Keyformer: KV Cache Reduction through Key Tokens Selection for Efficient Generative InferenceEfficient LLM inference and serving → KV cache optimization
- RAGGED: Towards Informed Design of Scalable and Stable RAG SystemsRetrieval-augmented generation → RAG robustness and adaptive retrieval
- The First to Know: How Token Distributions Reveal Hidden Knowledge in Large Vision-Language Models?Multimodal LLMs / vision-language models → Hallucination mitigation in LVLMs +1
- CodeUltraFeedback: An LLM-as-a-Judge Dataset for Aligning Large Language Models to Coding PreferencesLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Unlocking the conversion of Web Screenshots into HTML Code with the WebSight DatasetMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- ChartInstruct: Instruction Tuning for Chart Comprehension and ReasoningLLM reasoning → Multimodal reasoning
- VisionGPT: Vision-Language Understanding Agent Using Generalized Multimodal FrameworkLLM agents and tool use → Multimodal and embodied agents
- Multilingual Audio-Visual Speech Recognition with Hybrid CTC/RNN-T Fast Conformer
- InfoCon: Concept Discovery with Generative and Discriminative Informativeness
- Are Colors Quanta of Light for Human Vision? A Quantum Cognition Study of Visual Perception
- BRIEDGE: EEG-Adaptive Edge AI for Multi-Brain to Multi-Robot Interaction
- Transferring BCI models from calibration to control: Observing shifts in EEG features
- depyf: Open the Opaque Box of PyTorch Compiler for Machine Learning Researchers
- Circuit Transformer: A Transformer That Preserves Logical Equivalence
- Leap: molecular synthesisability scoring with intermediates
- Learning Macroeconomic Policies through Dynamic Stackelberg Mean-Field Games
- Methods for Matching English Language Addresses
- JaxDecompiler: Redefining Gradient-Informed Software Design
- Symbiotic Game and Foundation Models for Cyber Deception Operations in Strategic Cyber Warfare
- Achieving Pareto Optimality using Efficient Parameter Reduction for DNNs in Resource-Constrained Edge Environment
- MoPE: Mixture of Prompt Experts for Parameter-Efficient and Scalable Multimodal Fusion
- Ensemble learning for uncertainty estimation with application to the correction of satellite precipitation products
- PTSD-MDNN : Fusion tardive de r'eseaux de neurones profonds multimodaux pour la d'etection du trouble de stress post-traumatique
- Counter-Samples: A Stateless Strategy to Neutralize Black Box Adversarial Attacks
- A collection of the accepted papers for the Human-Centric Representation Learning workshop at AAAI 2024
- Generative Models and Connected and Automated Vehicles: A Survey in Exploring the Intersection of Transportation and AI
- Adaptive Hybrid Masking Strategy for Privacy-Preserving Face Recognition Against Model Inversion Attack
- Surrogate Assisted Monte Carlo Tree Search in Combinatorial Optimization
- Predicting Generalization of AI Colonoscopy Models to Unseen Data
- Attention-based Class-Conditioned Alignment for Multi-Source Domain Adaptation of Object Detectors
- Robust Light-Weight Facial Affective Behavior Recognition with CLIP
- Personalized Embodied Navigation for Portable Object Finding
- FedComLoc: Communication-Efficient Distributed Training of Sparse and Quantized Models
- Robust Subgraph Learning by Monitoring Early Training Representations
- Geographically-Informed Language Identification
- Fisher Mask Nodes for Language Model Merging
- Generalization of Scaled Deep ResNets in the Mean-Field Regime
- Sabi'a-2: A New Generation of Portuguese Large Language Models
- GazeMotion: Gaze-guided Human Motion Forecasting
- Touch-GS: Visual-Tactile Supervised 3D Gaussian Splatting
All 305
- ThermoHands: A Benchmark for 3D Hand Pose Estimation from Egocentric Thermal Images
- Mind the GAP: Improving Robustness to Subpopulation Shifts with Group-Aware Priors
- iBRF: Improved Balanced Random Forest Classifier
- Towards White Box Deep Learning
- NN-Defined Modulator: Reconfigurable and Portable Software Modulator on IoT Gateways
- FakeWatch: A Framework for Detecting Fake News to Ensure Credible Elections
- Few-Shot Class Incremental Learning with Attention-Aware Self-Adaptive Prompt
- MARVIS: Motion & Geometry Aware Real and Virtual Image Segmentation
- Forecasting Geoffective Events from Solar Wind Data and Evaluating the Most Predictive Features through Machine Learning Approaches
- Empowering Healthcare through Privacy-Preserving MRI Analysis
- Towards the Reusability and Compositionality of Causal Representations
- Analyzing Data Augmentation for Medical Images: A Case Study in Ultrasound Images
- FastSAM3D: An Efficient Segment Anything Model for 3D Volumetric Medical Images
- Towards Comprehensive Multimodal Perception: Introducing the Touch-Language-Vision Dataset
- Adapting OC20-trained EquiformerV2 Models for High-Entropy Materials
- LabelAId: Just-in-time AI Interventions for Improving Human Labeling Quality and Domain Knowledge in Crowdsourcing Systems
- Self-Supervised Learning for Time Series: Contrastive or Generative?
- xLP: Explainable Link Prediction for Master Data Management
- On the Utility of 3D Hand Poses for Action Recognition
- BOP Challenge 2023 on Detection, Segmentation and Pose Estimation of Seen and Unseen Rigid Objects
- Helpful or Harmful? Exploring the Efficacy of Large Language Models for Online Grooming Prevention
- Emotional Intelligence Through Artificial Intelligence : NLP and Deep Learning in the Analysis of Healthcare Texts
- Reconstructing Blood Flow in Data-Poor Regimes: A Vasculature Network Kernel for Gaussian Process Regression
- Estimating the history of a random recursive tree
- SpokeN-100: A Cross-Lingual Benchmarking Dataset for The Classification of Spoken Numbers in Different Languages
- Explainable Machine Learning-Based Security and Privacy Protection Framework for Internet of Medical Things Systems
- What Was Your Prompt? A Remote Keylogging Attack on AI Assistants
- Meta-Cognitive Analysis: Evaluating Declarative and Procedural Knowledge in Datasets and Large Language Models
- Towards Diverse Perspective Learning with Selection over Multiple Temporal Poolings
- GroupContrast: Semantic-aware Self-supervised Representation Learning for 3D Understanding
- SCP-Diff: Spatial-Categorical Joint Prior for Diffusion Based Semantic Image Synthesis
- GaussianGrasper: 3D Language Gaussian Splatting for Open-vocabulary Robotic Grasping
- Dynamic Memory Compression: Retrofitting LLMs for Accelerated Inference
- Transformers Get Stable: An End-to-End Signal Propagation Theory for Language Models
- OneTracker: Unifying Visual Object Tracking with Foundation Models and Efficient Tuning
- Holo-Relighting: Controllable Volumetric Portrait Relighting from a Single Image
- Make-Your-3D: Fast and Consistent Subject-Driven 3D Content Generation
- Glyph-ByT5: A Customized Text Encoder for Accurate Visual Text Rendering
- PosSAM: Panoptic Open-vocabulary Segment Anything
- Reawakening knowledge: Anticipatory recovery from catastrophic interference via structured training
- Compute-first optical detection for noise-resilient visual perception
- Large Language Models and Causal Inference in Collaboration: A Survey
- Counterfactual contrastive learning: robust representations via causal image synthesis
- Extremal graphical modeling with latent variables via convex optimization
- Mixture of Mixups for Multi-label Classification of Rare Anuran Sounds
- Iterative Forgetting: Online Data Stream Regression Using Database-Inspired Adaptive Granulation
- Algorithmic syntactic causal identification
- uaMix-MAE: Efficient Tuning of Pretrained Audio Transformers with Unsupervised Audio Mixtures
- The NeRFect Match: Exploring NeRF Features for Visual Localization
- Are you a robot? Detecting Autonomous Vehicles from Behavior Analysis
- Multi-Fidelity Bayesian Optimization With Across-Task Transferable Max-Value Entropy Search
- Welcome Your New AI Teammate: On Safety Analysis by Leashing Large Language Models
- Self-Consistency Training for Density-Functional-Theory Hamiltonian Prediction
- Cloud gap-filling with deep learning for improved grassland monitoring
- Label-supervised surgical instrument segmentation using temporal equivariance and semantic continuity
- Generalizing Denoising to Non-Equilibrium Structures Improves Equivariant Force Fields
- Breast Cancer Classification Using Gradient Boosting Algorithms Focusing on Reducing the False Negative and SHAP for Explainability
- How do Machine Learning Projects use Continuous Integration Practices? An Empirical Study on GitHub Actions
- Explorations in Texture Learning
- Logits of API-Protected LLMs Leak Proprietary Information
- Leveraging Prototypical Representations for Mitigating Social Bias without Demographic Information
- Trust AI Regulation? Discerning users are vital to build trust and effective AI regulation
- On STPA for Distributed Development of Safe Autonomous Driving: An Interview Study
- SkateFormer: Skeletal-Temporal Transformer for Human Action Recognition
- Don't Judge by the Look: Towards Motion Coherent Video Representation
- EquiAV: Leveraging Equivariance for Audio-Visual Contrastive Learning
- Faceptor: A Generalist Model for Face Perception
- A Reinforcement Learning Approach to Dairy Farm Battery Management using Q Learning
- From Skepticism to Acceptance: Simulating the Attitude Dynamics Toward Fake News
- On using Machine Learning Algorithms for Motorcycle Collision Detection
- Hyper-CL: Conditioning Sentence Representations with Hypernetworks
- Rectifying Demonstration Shortcut in In-Context Learning
- SpikeReveal: Unlocking Temporal Sequences from Real Blurry Inputs with Spike Streams
- Clinical Reasoning over Tabular Data and Text with Bayesian Networks
- What Sketch Explainability Really Means for Downstream Tasks
- VIRUS-NeRF -- Vision, InfraRed and UltraSonic based Neural Radiance Fields
- Outlier Robust Multivariate Polynomial Regression
- Machine learning for structural design models of continuous beam systems via influence zones
- M&M: Multimodal-Multitask Model Integrating Audiovisual Cues in Cognitive Load Assessment
- An Empirical Study of the Influence of Adversarial Fine-Tuning on Compressed Neural Networks
- 3D-SceneDreamer: Text-Driven 3D-Consistent Scene Generation
- Improving Real-Time Omnidirectional 3D Multi-Person Human Pose Estimation with People Matching and Unsupervised 2D-3D Lifting
- Reconstruction and Simulation of Elastic Objects with Spring-Mass 3D Gaussians
- Open-Vocabulary Object Detection with Meta Prompt Representation and Instance Contrastive Optimization
- Efficient Transferability Assessment for Selection of Pre-trained Detectors
- VISA: Variational Inference with Sequential Sample-Average Approximations
- Borrowing Treasures from Neighbors: In-Context Learning for Multimodal Learning with Missing Modalities and Data Scarcity
- Mitigating attribute amplification in counterfactual image generation
- RoDUS: Robust Decomposition of Static and Dynamic Elements in Urban Scenes
- Scalability of Metropolis-within-Gibbs schemes for high-dimensional Bayesian models
- User Identification via Free Roaming Eye Tracking Data
- Region-based U-net for accelerated training and enhanced precision in deep brain segmentation
- Relaxing Accurate Initialization Constraint for 3D Gaussian Splatting
- OpenGraph: Open-Vocabulary Hierarchical 3D Graph Representation in Large-Scale Outdoor Environments
- "Like a Nesting Doll": Analyzing Recursion Analogies Generated by CS Students using Large Language Models
- LM2D: Lyrics- and Music-Driven Dance Synthesis
- Heuristic Reasoning in AI: Instrumental Use and Mimetic Absorption
- Unsupervised Modality-Transferable Video Highlight Detection with Representation Activation Sequence Learning
- ConDiSR: Contrastive Disentanglement and Style Regularization for Single Domain Generalization
- GiT: Towards Generalist Vision Transformer through Universal Language Interface
- Event-based Asynchronous HDR Imaging by Temporal Incident Light Modulation
- Learning to optimize with convergence guarantees using nonlinear system theory
- Pantypes: Diverse Representatives for Self-Explainable Models
- Impact of Synthetic Images on Morphing Attack Detection Using a Siamese Network
- Introducing Routing Functions to Vision-Language Parameter-Efficient Fine-Tuning with Low-Rank Bottlenecks
- DF4LCZ: A SAM-Empowered Data Fusion Framework for Scene-Level Local Climate Zone Classification
- Sentinel-Guided Zero-Shot Learning: A Collaborative Paradigm without Real Data Exposure
- Komodo: A Linguistic Expedition into Indonesia's Regional Languages
- A Multi-population Integrated Approach for Capacitated Location Routing
- D3T: Distinctive Dual-Domain Teacher Zigzagging Across RGB-Thermal Gap for Domain-Adaptive Object Detection
- BurstAttention: An Efficient Distributed Attention Framework for Extremely Long Sequences
- SketchINR: A First Look into Sketches as Implicit Neural Representations
- Perspective-Equivariance for Unsupervised Imaging with Camera Geometry
- HeadEvolver: Text to Head Avatars via Expressive and Attribute-Preserving Mesh Deformation
- E2E-MFD: Towards End-to-End Synchronous Multimodal Fusion Detection
- A Hierarchical Fused Quantum Fuzzy Neural Network for Image Classification
- SD-Net: Symmetric-Aware Keypoint Prediction and Domain Adaptation for 6D Pose Estimation In Bin-picking Scenarios
- Semi- and Weakly-Supervised Learning for Mammogram Mass Segmentation with Limited Annotations
- Annotation Free Semantic Segmentation with Vision Foundation Models
- Rethinking Autoencoders for Medical Anomaly Detection from A Theoretical Perspective
- StainFuser: Controlling Diffusion for Faster Neural Style Transfer in Multi-Gigapixel Histology Images
- Recursive Causal Discovery
- More than words: Advancements and challenges in speech recognition for singing
- SELECTOR: Heterogeneous graph network with convolutional masked autoencoder for multimodal robust prediction of cancer survival
- Silico-centric Theory of Mind
- Adversarial Training with OCR Modality Perturbation for Scene-Text Visual Question Answering
- DA-PFL: Dynamic Affinity Aggregation for Personalized Federated Learning
- CLIP-EBC: CLIP Can Count Accurately through Enhanced Blockwise Classification
- EventRPG: Event Data Augmentation with Relevance Propagation Guidance
- Deep Limit Order Book Forecasting
- Advanced Tumor Segmentation in Medical Imaging: An Ensemble Approach for BraTS 2023 Adult Glioma and Pediatric Tumor Tasks
- To Label or Not to Label: Hybrid Active Learning for Neural Machine Translation
- WSI-SAM: Multi-resolution Segment Anything Model (SAM) for histopathology whole-slide images
- Hyper-3DG: Text-to-3D Gaussian Generation via Hypergraph
- D-YOLO a robust framework for object detection in adverse weather conditions
- Generating Feasible and Plausible Counterfactual Explanations for Outcome Prediction of Business Processes
- Improving Distant 3D Object Detection Using 2D Box Supervision
- Uncertainty Quantification for cross-subject Motor Imagery classification
- BEHAVIOR-1K: A Human-Centered, Embodied AI Benchmark with 1,000 Everyday Activities and Realistic Simulation
- MCformer: Multivariate Time Series Forecasting with Mixed-Channels Transformer
- On the Laplace Approximation as Model Selection Criterion for Gaussian Processes
- PoIFusion: Multi-Modal 3D Object Detection via Fusion at Points of Interest
- LAN: Learning Adaptive Neighbors for Real-Time Insider Threat Detection
- TaxoLLaMA: WordNet-based Model for Solving Multiple Lexical Semantic Tasks
- Upper Bound of Bayesian Generalization Error in Partial Concept Bottleneck Model (CBM): Partial CBM outperforms naive CBM
- Task-Specific Adaptation of Segmentation Foundation Model via Prompt Learning
- Noise Dimension of GAN: An Image Compression Perspective
- SAM-Lightening: A Lightweight Segment Anything Model with Dilated Flash Attention to Achieve 30 times Acceleration
- Intention-driven Ego-to-Exo Video Generation
- PYRA: Parallel Yielding Re-Activation for Training-Inference Efficient Task Adaptation
- Design of an basis-projected layer for sparse datasets in deep learning training using gc-ms spectra as a case study
- Learning Algorithms for Verification of Markov Decision Processes
- Generalized Relevance Learning Grassmann Quantization
- SHAN: Object-Level Privacy Detection via Inference on Scene Heterogeneous Graph
- ADEdgeDrop: Adversarial Edge Dropping for Robust Graph Neural Networks
- Analysis of singular subspaces under random perturbations
- Dial-insight: Fine-tuning Large Language Models with High-Quality Domain-Specific Data Preventing Capability Collapse
- Exploring the Comprehension of ChatGPT in Traditional Chinese Medicine Knowledge
- Caveat Lector: Large Language Models in Legal Practice
- Unveiling the Generalization Power of Fine-Tuned Large Language Models
- Basque and Spanish Counter Narrative Generation: Data Creation and Evaluation
- Evaluating LLMs for Gender Disparities in Notable Persons
- USimAgent: Large Language Models for Simulating Search Users
- Uncertainty Estimation in Multi-Agent Distributed Learning for AI-Enabled Edge Devices
- Metadata-Driven Federated Learning of Connectional Brain Templates in Non-IID Multi-Domain Scenarios
- Biophysics Informed Pathological Regularisation for Brain Tumour Segmentation
- ProSwitch: Knowledge-Guided Instruction Tuning to Switch Between Professional and Non-Professional Responses
- Viral Load Inference in Non-Adaptive Pooled Testing
- Rethinking Referring Object Removal
- Single Domain Generalization for Crowd Counting
- Optimal Top-Two Method for Best Arm Identification and Fluid Analysis
- Randomized Principal Component Analysis for Hyperspectral Image Classification
- AutoLoRA: Automatically Tuning Matrix Ranks in Low-Rank Adaptation Based on Meta Learning
- CardioCaps: Attention-based Capsule Network for Class-Imbalanced Echocardiogram Classification
- S^2MVTC: a Simple yet Efficient Scalable Multi-View Tensor Clustering
- Soften to Defend: Towards Adversarial Robustness via Self-Guided Label Refinement
- Virtual birefringence imaging and histological staining of amyloid deposits in label-free tissue using autofluorescence microscopy and deep learning
- AI on AI: Exploring the Utility of GPT as an Expert Annotator of AI Publications
- Deep unfolding Network for Hyperspectral Image Super-Resolution with Automatic Exposure Correction
- Desigen: A Pipeline for Controllable Design Template Generation
- MCFEND: A Multi-source Benchmark Dataset for Chinese Fake News Detection
- Dissipative Gradient Descent Ascent Method: A Control Theory Inspired Algorithm for Min-max Optimization
- Learning from straggler clients in federated learning
- PreSight: Enhancing Autonomous Vehicle Perception with City-Scale NeRF Priors
- Information Extraction: An application to the domain of hyper-local financial data on developing countries
- Revealing the Parallel Multilingual Learning within Large Language Models
- Dyadic Interaction Modeling for Social Behavior Generation
- Hyperparameters in Continual Learning: A Reality Check
- When Semantic Segmentation Meets Frequency Aliasing
- Distribution and Depth-Aware Transformers for 3D Human Mesh Recovery
- TBI Image/Text (TBI-IT): Comprehensive Text and Image Datasets for Traumatic Brain Injury Research
- LAMP: A Language Model on the Map
- A Continued Pretrained LLM Approach for Automatic Medical Note Generation
- Leveraging Foundation Model Automatic Data Augmentation Strategies and Skeletal Points for Hands Action Recognition in Industrial Assembly Lines
- Towards a theory of model distillation
- CLOAF: CoLlisiOn-Aware Human Flow
- Taming Cross-Domain Representation Variance in Federated Prototype Learning with Heterogeneous Data Domains
- Detecting Anomalies in Dynamic Graphs via Memory enhanced Normality
- Gradient-Aware Logit Adjustment Loss for Long-tailed Classifier
- DiTMoS: Delving into Diverse Tiny-Model Selection on Microcontrollers
- rFaceNet: An End-to-End Network for Enhanced Physiological Signal Extraction through Identity-Specific Facial Contours
- An AI-Driven Approach to Wind Turbine Bearing Fault Diagnosis from Acoustic Signals
- VDNA-PR: Using General Dataset Representations for Robust Sequential Visual Place Recognition
- Semiparametric Token-Sequence Co-Supervision
- AraTrust: An Evaluation of Trustworthiness for LLMs in Arabic