Papers
Fri 15 Nov 2024
275 papers
- Thinking Before Looking: Improving Multimodal LLM Reasoning via Mitigating Visual HallucinationLLM reasoning → Multimodal reasoning +1
- Debias your Large Multi-Modal Model at Test-Time via Non-Contrastive Visual Attribute SteeringMultimodal LLMs / vision-language models → Social bias and fairness in VLMs +1
- ULTra: Unveiling Latent Token Interpretability in Transformer-Based Understanding and SegmentationMechanistic interpretability → Interpreting vision and multimodal models
- Being Considerate as a Pathway Towards Pluralistic Alignment for Agentic AILLM agents and tool use → General LLM agent frameworks and benchmarks
- A Novel MLLM-based Approach for Autonomous Driving in Different Weather ConditionsEnd-to-end autonomous driving → VLMs for autonomous driving
- A dataset of questions on decision-theoretic reasoning in Newcomb-like problemsLLM reasoning → Reasoning for agents, planning and code
- Large Language Models as Robust Data Generators in Software Analytics: Are We There Yet?Synthetic data and self-improvement for LLMs → LLM synthetic data generation
- MLAN: Language-Based Instruction Tuning Preserves and Transfers Knowledge in Multimodal Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Efficient Alignment of Large Language Models via Data SamplingLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Chain of Alignment: Integrating Public Will with Expert Intelligence for Language Model AlignmentLLM alignment / RLHF / preference optimisation → Medical LLM alignment
- On the Privacy Risk of In-context LearningLLM safety and security → Membership inference attacks
- SmoothCache: A Universal Inference Acceleration Technique for Diffusion TransformersDiffusion models → Diffusion foundations and sampling +1
- DR-BFR: Degradation Representation with Diffusion Models for Blind Face RestorationDiffusion models → Inverse problems and image restoration
- OnlyFlow: Optical Flow based Motion Conditioning for Video Diffusion ModelsDiffusion models → Video generation
- Training-Free Layout-to-Image Generation with Marginal Attention ConstraintsDiffusion models → Image generation, text-to-image and editing
- VeriGraph: Scene Graphs for Execution Verifiable Robot PlanningMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Enhancing the Reasoning Ability of Multimodal Large Language Models via Mixed Preference OptimizationLLM reasoning → Multimodal reasoning +2
- LLaVA-CoT: Let Vision Language Models Reason Step-by-StepLLM reasoning → Multimodal reasoning +1
- Mitigating Hallucination in Multimodal Large Language Model via Hallucination-targeted Direct Preference OptimizationMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs +1
- Diffusion Model-based Parameter Estimation in Dynamic Power SystemsDiffusion models → Flow matching, time series and science
- Evaluating Creativity and Deception in Large Language Models: A Simulation Framework for Multi-Agent BalderdashLLM agents and tool use → Reinforcement learning for LLM agents
- Llama Guard 3 Vision: Safeguarding Human-AI Image Understanding ConversationsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- Repurposing Stable Diffusion Attention for Training-Free Unsupervised Interactive SegmentationDiffusion models → Medical imaging and segmentation
- Features that Make a Difference: Leveraging Gradients for Improved Dictionary LearningMechanistic interpretability → Sparse autoencoder training and evaluation
- Towards High-Fidelity 3D Portrait Generation with Rich Details by Cross-View Prior-Aware DiffusionDiffusion models → 3D, point cloud and scene generation
- Continual Adversarial Reinforcement Learning (CARL) of False Data Injection detection: forgetting and explainabilityDeep reinforcement learning methods → Adversarial robustness and RL in finance
- The Dawn of GUI Agent: A Preliminary Case Study with Claude 3.5 Computer UseLLM agents and tool use → GUI and mobile agents
- Probabilistic Prior Driven Attention Mechanism Based on Diffusion Model for Imaging Through Atmospheric TurbulenceDiffusion models → Inverse problems and image restoration
- Static network structure cannot stabilize cooperation among Large Language Model agentsLLM agents and tool use → Social simulation and multi-agent debate
- Towards Sample-Efficiency and Generalization of Transfer and Inverse Reinforcement Learning: A Comprehensive Literature ReviewOffline RL and imitation learning from data → Inverse reinforcement learning +1
- Guiding a diffusion model using sliding windowsDiffusion models → Diffusion foundations and sampling
- Visual-Linguistic Agent: Towards Collaborative Contextual Object ReasoningLLM reasoning → Multimodal reasoning +2
- ColorEdit: Training-free Image-Guided Color editing with diffusion modelDiffusion models → Image generation, text-to-image and editing
- An Empirical Study on LLM-based Agents for Automated Bug FixingLLM agents and tool use → Software engineering coding agents
- Agentic LLMs in the Supply Chain: Towards Autonomous Multi-Agent Consensus-SeekingLLM agents and tool use → Social simulation and multi-agent debate
- The Surprising Ineffectiveness of Pre-Trained Visual Representations for Model-Based Reinforcement LearningDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Imagine-2-Drive: Leveraging High-Fidelity World Models via Multi-Modal Diffusion PoliciesWorld models → World models for autonomous driving +2
- Evaluating Text-to-Image Diffusion Models for Texturing Synthetic DataDiffusion models → 3D, point cloud and scene generation
- SEAGULL: No-reference Image Quality Assessment for Regions of Interest via Vision-Language Instruction TuningMultimodal LLMs / vision-language models → Image editing and quality assessment
- Mitigating Sycophancy in Decoder-Only Transformer Architectures: Synthetic Data InterventionLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF +1
- Towards Multi-View Consistent Style Transfer with One-Step Diffusion via Vision ConditioningDiffusion models → Image generation, text-to-image and editing
- LLM Agents Grounded in Self-Reports Enable General-Purpose Simulation of IndividualsLLM agents and tool use → Social simulation and multi-agent debate
- Evidential Federated Learning for Skin Lesion Image ClassificationKnowledge distillation → Federated, robust and private distillation
- SPLIT: SE(3)-diffusion via Local Geometry-based Score Prediction for 3D Scene-to-Pose-Set Matching ProblemsDiffusion models → Diffusion and flow policies for robotics
- Enforcing Cooperative Safety for Reinforcement Learning-based Mixed-Autonomy Platoon ControlDeep reinforcement learning methods → RL for autonomous driving and traffic
- XLSR-Mamba: A Dual-Column Bidirectional State Space Model for Spoofing Attack DetectionState-space sequence models (S4, Mamba) → Speech and audio SSMs
- EyeDiff: text-to-image diffusion model improves rare eye disease diagnosisDiffusion models → Medical imaging and segmentation
- Pro-Prophet: A Systematic Load Balancing Method for Efficient Parallel Training of Large-scale MoE ModelsMixture-of-experts → Efficient MoE training and inference systems
- Adaptive Non-uniform Timestep Sampling for Accelerating Diffusion Model TrainingDiffusion models → Diffusion foundations and sampling
- Large Language Models as User-Agents for Evaluating Task-Oriented-Dialogue SystemsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Explanation for Trajectory Planning using Multi-modal Large Language Model for Autonomous DrivingEnd-to-end autonomous driving → Reasoning VLA and VLM driving policies
- Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- Brain-inspired Action Generation with Spiking Transformer Diffusion Policy ModelDiffusion models → Diffusion and flow policies for robotics
- LoRA-LiteE: A Computationally Efficient Framework for Chatbot Preference-TuningLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Zero-shot Voice Conversion with Diffusion TransformersDiffusion models → Audio, speech and music
- ALPHA-α and Bi-ACT Are All You Need: Importance of Position and Force Information/Control for Imitation Learning of Unimanual and Bimanual Robotic Manipulation with Low-Cost SystemOffline RL and imitation learning from data → Robot manipulation imitation learning
- Motion-Grounded Video Reasoning: Understanding and Perceiving Motion at Pixel LevelLLM reasoning → Multimodal reasoning
- Statistical Analysis of Policy Space Compression ProblemDeep reinforcement learning methods → RL theory and sample complexity
- Off-Dynamics Reinforcement Learning via Domain Adaptation and Reward Augmented ImitationOffline RL and imitation learning from data → Imitation learning methods +1
- Enhancing Diffusion Posterior Sampling for Inverse Problems by Integrating Crafted MeasurementsDiffusion models → Inverse problems and image restoration
- Take Package as Language: Anomaly Detection Using Transformer
- Explainable Artificial Intelligence for Medical Applications: A Review
- DYRECT Computed Tomography: DYnamic Reconstruction of Events on a Continuous Timescale
- Guiding Reinforcement Learning Using Uncertainty-Aware Large Language Models
- Can Artificial Intelligence Generate Quality Research Topics Reflecting Patient Concerns?
- CMOOD: Concept-based Multi-label OOD Detection
- WavChat: A Survey of Spoken Dialogue Models
- An exploration of the effect of quantisation on energy consumption and inference time of StarCoder2
- FedCL-Ensemble Learning: A Framework of Federated Continual Learning with Ensemble Transfer Learning Enhanced for Alzheimer's MRI Classifications while Preserving Privacy
- SPARS3R: Semantic Prior Alignment and Regularization for Sparse 3D Reconstruction
- Drift-Resilient TabPFN: In-Context Learning Temporal Distribution Shifts on Tabular Data
- Leveraging large language models for efficient representation learning for entity resolution
- Is thermography a viable solution for detecting pressure injuries in dark skin patients?
- Weak Permission is not Well-Founded, Grounded and Stable
- KAT to KANs: A Review of Kolmogorov-Arnold Networks and the Neural Leap Forward
- Electrical Load Forecasting in Smart Grid: A Personalized Federated Learning Approach
- Attraction-Repulsion Swarming: A Generalized Framework of t-SNE via Force Normalization and Tunable Interactions
- Voxel-Aggregated Feature Synthesis: Efficient Dense Mapping for Simulated 3D Reasoning
- To Shuffle or not to Shuffle: Auditing DP-SGD with Shuffling
- AmoebaLLM: Constructing Any-Shape Large Language Models for Efficient and Instant Deployment
- Learning Quantitative Automata Modulo Theories
- Generating Energy-efficient code with LLMs
- A minimalistic representation model for head direction system
- FedAli: Personalized Federated Learning Alignment with Prototype Layers for Generalized Mobile Services
- Creation and Evaluation of a Food Product Image Dataset for Product Property Extraction
- Motion Diffusion-Guided 3D Global HMR from a Dynamic Camera
- On the Shortcut Learning in Multilingual Neural Machine Translation
- Hysteresis Activation Function for Efficient Inference
- Normative Modeling for AD Diagnosis and Biomarker Identification
- Vision Eagle Attention: a new lens for advancing image classification
- Pragmatic information of aesthetic appraisal
- Low-Rank Optimal Transport through Factor Relaxation with Latent Coupling
- BioNeMo Framework: a modular, high-performance library for AI model development in drug discovery
- The Oxford Spires Dataset: Benchmarking Large-Scale LiDAR-Visual Localisation, Reconstruction and Radiance Field Methods
- Debias-CLR: A Contrastive Learning Based Debiasing Method for Algorithmic Fairness in Healthcare Applications
- SoftLMs: Efficient Adaptive Low-Rank Approximation of Language Models using Soft-Thresholding Mechanism
- Does Prompt Formatting Have Any Impact on LLM Performance?
- Advancing Autonomous Driving Perception: Analysis of Sensor Fusion and Computer Vision Techniques
- On the Compatibility of Generative AI and Generative Linguistics
- Any2Any: Incomplete Multimodal Retrieval with Conformal Prediction
All 275
- TESGNN: Temporal Equivariant Scene Graph Neural Networks for Efficient and Robust Multi-View 3D Scene Understanding
- RedTest: Towards Measuring Redundancy in Deep Neural Networks Effectively
- USP-Gaussian: Unifying Spike-based Image Reconstruction, Pose Correction and Gaussian Splatting
- Everything is a Video: Unifying Modalities through Next-Frame Prediction
- Edge-Only Universal Adversarial Attacks in Distributed Learning
- FitDiT: Advancing the Authentic Garment Details for High-fidelity Virtual Try-on
- Prompt-Guided Environmentally Consistent Adversarial Patch
- Structure Tensor Representation for Robust Oriented Object Detection
- Guided Learning: Lubricating End-to-End Modeling for Multi-stage Decision-making
- MARS: Unleashing the Power of Variance Reduction for Training Large Models
- The Spatial Complexity of Optical Computing and How to Reduce It
- M-VAR: Decoupled Scale-wise Autoregressive Modeling for High-Quality Image Generation
- Private Counterfactual Retrieval With Immutable Features
- Back to Supervision: Boosting Word Boundary Detection through Frame Classification
- Multiscale Dubuc: A New Similarity Measure for Time Series
- Towards Automatic Evaluation of Task-Oriented Dialogue Flows
- How to Build a Quantum Supercomputer: Scaling from Hundreds to Millions of Qubits
- On the Foundation Model for Cardiac MRI Reconstruction
- Deep Learning for Micro-Scale Crack Detection on Imbalanced Datasets Using Key Point Localization
- Low-Latency Task-Oriented Communications with Multi-Round, Multi-Task Deep Learning
- Framework for Co-distillation Driven Federated Learning to Address Class Imbalance in Healthcare
- Generation of synthetic gait data: application to multiple sclerosis patients' gait patterns
- A Survey of Event Causality Identification: Taxonomy, Challenges, Assessment, and Prospects
- Mechanisms of Generative Image-to-Image Translation Networks
- Forming Auxiliary High-confident Instance-level Loss to Promote Learning from Label Proportions
- Interactive Image-Based Aphid Counting in Yellow Water Traps under Stirring Actions
- Weakly-Supervised Multimodal Learning on MIMIC-CXR
- BiDense: Binarization for Dense Prediction
- Comparative Analysis of Machine Learning Approaches for Bone Age Assessment: A Comprehensive Study on Three Distinct Models
- Domain Adaptation-based Edge Computing for Cross-Conditions Fault Diagnosis
- On the Cost of Model-Serving Frameworks: An Experimental Evaluation
- Y-MAP-Net: Real-time depth, normals, segmentation, multi-label captioning and 2D human pose in RGB images
- Number it: Temporal Grounding Videos like Flipping Manga
- CNN-Based Classification of Persian Miniature Paintings from Five Renowned Schools
- Safe Text-to-Image Generation: Simply Sanitize the Prompt Embedding
- Emotion Detection in Reddit: Comparative Study of Machine Learning and Deep Learning Techniques
- Bitcoin Research with a Transaction Graph Dataset
- Melanoma Detection with Uncertainty Quantification
- M3TR: A Generalist Model for Real-World HD Map Completion
- Modification Takes Courage: Seamless Image Stitching via Reference-Driven Inpainting
- A Realistic Collimated X-Ray Image Simulation Pipeline
- Topological Data Analysis Applications in Natural Language Processing: A Survey
- RETR: Multi-View Radar Detection Transformer for Indoor Perception
- The ParClusterers Benchmark Suite (PCBS): A Fine-Grained Analysis of Scalable Graph Clustering
- Systolic Arrays and Structured Pruning Co-design for Efficient Transformers in Edge Systems
- Multidimensional Byte Pair Encoding: Shortened Sequences for Improved Visual Data Generation
- Lateral Movement Detection via Time-aware Subgraph Classification on Authentication Logs
- 4DPV: 4D Pet from Videos by Coarse-to-Fine Non-Rigid Radiance Fields
- Fill in the blanks: Rethinking Interpretability in vision
- P2 Law: Scaling Law for Post-Training After Model Pruning
- Partial Scene Text Retrieval
- MDHP-Net: Detecting an Emerging Time-exciting Threat in IVN
- Artificial Intelligence in Pediatric Echocardiography: Exploring Challenges, Opportunities, and Clinical Applications with Explainable AI and Federated Learning
- Uncertainty in Supply Chain Digital Twins: A Quantum-Classical Hybrid Approach
- Morpho-Aware Global Attention for Image Matting
- Automated Coding of Communications in Collaborative Problem-solving Tasks Using ChatGPT
- Measuring Non-Adversarial Reproduction of Training Data in Large Language Models
- Efficient Neural Hybrid System Learning and Transition System Abstraction for Dynamical Systems
- ScribbleVS: Scribble-Supervised Medical Image Segmentation via Dynamic Competitive Pseudo Label Selection
- Generative AI in Multimodal User Interfaces: Trends, Challenges, and Cross-Platform Adaptability
- A Low-Resolution Image is Worth 1x1 Words: Enabling Fine Image Super-Resolution with Transformers and TaylorShift
- Entropy and type-token ratio in gigaword corpora
- EVOKE: Elevating Chest X-ray Report Generation via Multi-View Contrastive Learning and Patient-Specific Knowledge
- Machine Learning Algorithms to Assess Site Closure Time Frames for Soil and Groundwater Contamination
- Embedding Byzantine Fault Tolerance into Federated Learning via Consistency Scoring
- Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport
- Learning Generalizable 3D Manipulation With 10 Demonstrations
- Block based Adaptive Compressive Sensing with Sampling Rate Control
- STLight: a Fully Convolutional Approach for Efficient Predictive Learning by Spatio-Temporal joint Processing
- A logic for reasoning with inconsistent knowledge -- A reformulation using nowadays terminology (2024)
- DiMoDif: Discourse Modality-information Differentiation for Audio-visual Deepfake Detection and Localization
- FengWu-W2S: A deep learning model for seamless weather-to-subseasonal forecast of global atmosphere
- NeISF++: Neural Incident Stokes Field for Polarized Inverse Rendering of Conductors and Dielectrics
- Try-On-Adapter: A Simple and Flexible Try-On Paradigm
- Efficient Progressive Image Compression with Variance-aware Masking
- Visual question answering based evaluation metrics for text-to-image generation
- CART: Compositional Auto-Regressive Transformer for Image Generation
- Let people fail! Exploring the influence of explainable virtual and robotic agents in learning-by-doing tasks
- A Divide-and-Conquer Strategy for Hard-Label Extraction of Deep Neural Networks via Side-Channel Attacks
- Semantics and Spatiality of Emergent Communication
- Increasing the Accessibility of Causal Domain Knowledge via Causal Information Extraction Methods: A Case Study in the Semiconductor Manufacturing Industry
- Evaluating the role of `Constitutions' for learning from AI feedback
- Compound-QA: A Benchmark for Evaluating LLMs on Compound Questions
- Continuous Bayesian Model Selection for Multivariate Causal Discovery
- A unifying framework for generalised Bayesian online learning in non-stationary environments
- Causal Time-Series Synchronization for Multi-Dimensional Forecasting
- Outliers resistant image classification by anomaly detection
- An Effective Framework to Help Large Language Models Handle Numeric-involved Long-context Tasks
- DaYu: Data-Driven Model for Geostationary Satellite Observed Cloud Images Forecasting
- Matrix-Valued LogSumExp Approximation for Colour Morphology
- Legal Evalutions and Challenges of Large Language Models
- CoSAM: Self-Correcting SAM for Domain Generalization in 2D Medical Image Segmentation
- Efficient Density Control for 3D Gaussian Splatting
- Prompting and Fine-tuning Large Language Models for Automated Code Review Comment Generation
- On the Universal Statistical Consistency of Expansive Hyperbolic Deep Convolutional Neural Networks
- Energy-GNoME: A Living Database of Selected Materials for Energy Applications
- Memorization in Attention-only Transformers
- Identifying Key Drivers of Heatwaves: A Novel Spatio-Temporal Framework for Extreme Event Detection
- Recent Advances on Machine Learning-aided DSP for Short-reach and Long-haul Optical Communications
- Multi-Task Adversarial Variational Autoencoder for Estimating Biological Brain Age with Multimodal Neuroimaging
- Neural Port-Hamiltonian Models for Nonlinear Distributed Control: An Unconstrained Parametrization Approach
- AI and the Future of Work in Africa White Paper
- G-computation for increasing performances of clinical trials with individual randomization and binary response
- PFML: Self-Supervised Learning of Time-Series Data Without Representation Collapse
- CorrCLIP: Reconstructing Patch Correlations in CLIP for Open-Vocabulary Semantic Segmentation
- Adapting the Biological SSVEP Response to Artificial Neural Networks
- Xmodel-1.5: An 1B-scale Multilingual LLM
- Influence of Depth Camera Noise Models on Respiration Estimation
- Understanding The Effect Of Temperature On Alignment With Human Opinions
- Hierarchical mutual distillation for multi-view fusion: Learning from all possible view combinations
- Improving the accuracy of automated labeling of specimen images datasets via a confidence-based process
- Real-Time AI-Driven People Tracking and Counting Using Overhead Cameras
- Step-wise Distribution Alignment Guided Style Prompt Tuning for Source-free Cross-domain Few-shot Learning
- Layer Importance and Hallucination Analysis in Large Language Models via Enhanced Activation Variance-Sparsity
- Diachronic Document Dataset for Semantic Layout Analysis
- Adaptive Physics-Guided Neural Network
- Federated Domain Generalization via Prompt Learning and Aggregation
- EchoMimicV2: Towards Striking, Simplified, and Semi-Body Human Animation
- CMATH: Cross-Modality Augmented Transformer with Hierarchical Variational Distillation for Multimodal Emotion Recognition in Conversation
- Unsupervised Congestion Status Identification Using LMP Data
- KuaiFormer: Transformer-Based Retrieval at Kuaishou
- Towards unearthing neglected climate innovations from scientific literature using Large Language Models
- That Chip Has Sailed: A Critique of Unfounded Skepticism Around AI for Chip Design
- Jal Anveshak: Prediction of fishing zones using fine-tuned LlaMa 2
- Physics-informed neural networks need a physicist to be accurate: the case of mass and heat transport in Fischer-Tropsch catalyst particles
- Rethinking Normalization Strategies and Convolutional Kernels for Multimodal Image Fusion
- GSEditPro: 3D Gaussian Splatting Editing with Attention-based Progressive Localization
- VMID: A Multimodal Fusion LLM Framework for Detecting and Identifying Misinformation of Short Videos
- Toward Robust and Accurate Adversarial Camouflage Generation against Vehicle Detectors
- MOT FCG++: Enhanced Representation of Spatio-temporal Motion and Appearance Features
- Model Inversion Attacks: A Survey of Approaches and Countermeasures
- Information Extraction from Clinical Notes: Are We Ready to Switch to Large Language Models?
- Towards Utilising a Range of Neural Activations for Comprehending Representational Associations
- Once More, With Feeling: Measuring Emotion of Acting Performances in Contemporary American Film
- MicroCrackAttentionNeXt: Advancing Microcrack Detection in Wave Field Analysis Using Deep Neural Networks through Feature Visualization
- Efficient Depth Estimation for Unstable Stereo Camera Systems on AR Glasses
- DeepMedcast: A Deep Learning Method for Generating Intermediate Weather Forecasts among Multiple NWP Models
- Semiparametric inference for impulse response functions using double/debiased machine learning
- Graph-based Complexity for Causal Effect by Empirical Plug-in
- Orca: Enhancing Role-Playing Abilities of Large Language Models by Integrating Personality Traits
- DuSEGO: Dual Second-order Equivariant Graph Ordinary Differential Equation
- Building 6G Radio Foundation Models with Transformer Architectures
- Unlocking Transfer Learning for Open-World Few-Shot Recognition
- Fully Dynamic Adversarially Robust Correlation Clustering in Polylogarithmic Update Time
- HistoLens: An LLM-Powered Framework for Multi-Layered Analysis of Historical Texts -- A Case Application of Yantie Lun
- Establishing and Evaluating Trustworthy AI: Overview and Research Challenges
- Steering AI-Driven Personalization of Scientific Text for General Audiences
- Dense ReLU Neural Networks for Temporal-spatial Model
- Instruction-Guided Editing Controls for Images and Multimedia: A Survey in LLM era
- GGAvatar: Reconstructing Garment-Separated 3D Gaussian Splatting Avatars from Monocular Video
- TEESlice: Protecting Sensitive Neural Network Models in Trusted Execution Environments When Attackers have Pre-Trained Models
- SlimLM: An Efficient Small Language Model for On-Device Document Assistance
- Refined and Segmented Price Sentiment Indices from Survey Comments
- JRadiEvo: A Japanese Radiology Report Generation Model Enhanced by Evolutionary Optimization of Model Merging
- Is Precise Recovery Necessary? A Task-Oriented Imputation Approach for Time Series Forecasting on Variable Subset
- A Polarization Image Dehazing Method Based on the Principle of Physical Diffusion
- Physics-informed Machine Learning for Battery Pack Thermal Management
- mmSpyVR: Exploiting mmWave Radar for Penetrating Obstacles to Uncover Privacy Vulnerability of Virtual Reality
- DiffFNO: Diffusion Fourier Neural Operator
- AMXFP4: Taming Activation Outliers with Asymmetric Microscaling Floating-Point for 4-bit LLM Inference
- Self-Supervised Learning of Grasping Arbitrary Objects On-the-Move
- Revealing the Evolution of Order in Materials Microstructures Using Multi-Modal Computer Vision
- Free Lunch in Pathology Foundation Model: Task-specific Model Adaptation with Concept-Guided Feature Enhancement
- Memory Proxy Maps for Visual Navigation
- A Self-Supervised Robotic System for Autonomous Contact-Based Spatial Mapping of Semiconductor Properties
- Research on Domain-Specific Chinese Spelling Correction Method Based on Plugin Extension Modules
- A Hybrid Artificial Intelligence System for Automated EEG Background Analysis and Report Generation
- Content-Aware Preserving Image Generation
- Face De-identification: State-of-the-art Methods and Comparative Studies
- One Leaf Reveals the Season: Occlusion-Based Contrastive Learning with Semantic-Aware Views for Efficient Visual Representation
- InvestESG: A multi-agent reinforcement learning benchmark for studying climate investment as a social dilemma
- Fair Secretaries with Unfair Predictions
- KULCQ: An Unsupervised Keyword-based Utterance Level Clustering Quality Metric
- InterFormer: Effective Heterogeneous Interaction Learning for Click-Through Rate Prediction
- SymbolFit: Automatic Parametric Modeling with Symbolic Regression