Papers
Mon 15 Jul 2024
297 papers
- Evaluation of RAG Metrics for Question Answering in the Telecom DomainRetrieval-augmented generation → RAG robustness and adaptive retrieval
- MetaTool: Facilitating Large Language Models to Master Tools with Meta-task AugmentationLLM agents and tool use → Tool learning and function calling
- Uncertainty is Fragile: Manipulating Uncertainty in Large Language ModelsLLM safety and security → Backdoor and data poisoning attacks
- Disentangling Representations through Multi-task LearningWorld models → World models for language agents
- Mechanistic interpretability of large language models with applications to the financial services industryMechanistic interpretability → Circuits and mechanistic analysis
- OpenPSG: Open-set Panoptic Scene Graph Generation via Large Multimodal ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Integrating Amortized Inference with Diffusion Models for Learning Clean Distribution from Corrupted ImagesDiffusion models → Inverse problems and image restoration
- Discrete generative diffusion models without stochastic differential equations: a tensor network approachDiffusion models → Diffusion foundations and sampling
- Towards Adversarially Robust Vision-Language Models: Insights from Design Choices and Prompt Formatting TechniquesMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- SSSD-ECG-nle: New Label Embeddings with Structured State-Space Models for ECG generationDiffusion models → Medical imaging and segmentation
- Building Intelligence Identification System via Large Language Model Watermarking: A Survey and BeyondLLM safety and security → Watermarking generated content and models
- Walking the Values in Bayesian Inverse Reinforcement LearningOffline RL and imitation learning from data → Inverse reinforcement learning +1
- BECAUSE: Bilinear Causal Representation for Generalizable Offline Model-based Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
- InVi: Object Insertion In Videos Using Off-the-Shelf Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
- Spider2-V: How Far Are Multimodal Agents From Automating Data Science and Engineering Workflows?LLM agents and tool use → Web, search, and research agents
- Naturally Occurring Feedback is Common, Extractable and UsefulLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- IDOL: Unified Dual-Modal Latent Diffusion for Human-Centric Joint Video-Depth GenerationDiffusion models → 3D, point cloud and scene generation
- Fine-Tuning and Prompt Optimization: Two Great Steps that Work Better TogetherRetrieval-augmented generation → RAG pipeline design and evaluation
- OPa-Ma: Text Guided Mamba for 360-degree Image Out-paintingState-space sequence models (S4, Mamba) → Video, motion and generative Mamba models
- Benchmarking Vision Language Models for Cultural UnderstandingMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- DataDream: Few-shot Guided Dataset GenerationDiffusion models → Image generation, text-to-image and editing
- Optical Diffusion Models for Image GenerationDiffusion models → Diffusion foundations and sampling
- GPT Sonograpy: Hand Gesture Decoding from Forearm Ultrasound Images via VLMMultimodal LLMs / vision-language models → Medical vision-language models
- Physics-Inspired Generative Models in Medical Imaging: A ReviewDiffusion models → Medical imaging and segmentation
- Offline Reinforcement Learning with Imputed RewardsLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF +1
- Exploration in Knowledge Transfer Utilizing Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
- MoE-DiffIR: Task-customized Diffusion Priors for Universal Compressed Image RestorationDiffusion models → Inverse problems and image restoration +1
- GuideLight: "Industrial Solution" Guidance for More Practical Traffic Signal Control AgentsDeep reinforcement learning methods → RL for autonomous driving and traffic
- Think-on-Graph 2.0: Deep and Faithful Large Language Model Reasoning with Knowledge-guided Retrieval Augmented GenerationLLM reasoning → Knowledge- and tool-augmented reasoning +1
- DINO Pre-training for Vision-based End-to-end Autonomous DrivingEnd-to-end autonomous driving → Imitation-learning end-to-end planners +1
- Multilingual Contrastive Decoding via Language-Agnostic Layers SkippingEfficient LLM inference and serving → Early exit and edge inference
- Learning biologically relevant features in a pathology foundation model using sparse autoencodersMechanistic interpretability → Interpreting biomedical and science models
- Last-Iterate Global Convergence of Policy Gradients for Constrained Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
- ISMRNN: An Implicitly Segmented RNN Method with Mamba for Long-Term Time Series ForecastingState-space sequence models (S4, Mamba) → Time series forecasting with SSMs
- Scaling 3D Reasoning with LMMs to Large Robot Mission Environments Using DatagraphsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- When Synthetic Traces Hide Real Content: Analysis of Stable Diffusion Image LaunderingDiffusion models → Image generation, text-to-image and editing
- Sibyl: Simple yet Effective Agent Framework for Complex Real-world ReasoningLLM reasoning → Reasoning for agents, planning and code +1
- Quantized Prompt for Efficient Generalization of Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Addressing Image Hallucination in Text-to-Image Generation through Factual Image RetrievalDiffusion models → Medical imaging and segmentation
- Enhancing Retrieval and Managing Retrieval: A Four-Module Synergy for Improved Quality and Efficiency in RAG SystemsRetrieval-augmented generation → RAG pipeline design and evaluation
- An Empirical Study of Validating Synthetic Data for Formula GenerationSynthetic data and self-improvement for LLMs → LLM synthetic data generation
- Deep Diffusion Image Prior for Efficient OOD Adaptation in 3D Inverse ProblemsDiffusion models → Inverse problems and image restoration
- Temporal Residual Guided Diffusion Framework for Event-Driven Video ReconstructionDiffusion models → Video generation
- Balancing the Scales: Reinforcement Learning for Fair ClassificationDeep reinforcement learning methods → RL for games and combinatorial optimization
- WildVidFit: Video Virtual Try-On in the Wild via Image-Based Controlled Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
- Leave No Knowledge Behind During Knowledge Distillation: Towards Practical and Effective Knowledge Distillation for Code-Switching ASR Using Realistic DataKnowledge distillation → Speech and audio distillation
- InsertDiffusion: Identity Preserving Visualization of Objects through a Training-Free Diffusion ArchitectureDiffusion models → 3D, point cloud and scene generation
- Three Dogmas of Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
- Local Action-Guided Motion Diffusion Model for Text-to-Motion GenerationDiffusion models → Video generation
- CIBench: Evaluating Your LLMs with a Code Interpreter PluginLLM agents and tool use → Software engineering coding agents
- Learning to Unlearn for Robust Machine UnlearningLLM safety and security → Machine unlearning
- Learning Dynamics of LLM FinetuningLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- MM-Tracker: Motion Mamba with Margin Loss for UAV-platform Multiple Object TrackingState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
- G-PCGRL: Procedural Graph Data Generation via Reinforcement LearningDeep reinforcement learning methods → RL for games and combinatorial optimization
- SuperPADL: Scaling Language-Directed Physics-Based Control with Progressive Supervised DistillationDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Kinetic Typography Diffusion ModelDiffusion models → Image generation, text-to-image and editing
- GROOT: Generating Robust Watermark for Diffusion-Model-Based Audio SynthesisDiffusion models → Robustness, privacy and adversarial aspects +1
- LiteFocus: Accelerated Diffusion Inference for Long Audio SynthesisDiffusion models → Audio, speech and music
- DiffStega: Towards Universal Training-Free Coverless Image Steganography with Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects
- Don't Throw Away Data: Better Sequence Knowledge DistillationKnowledge distillation → Knowledge distillation for LLMs
- Deflated Dynamics Value IterationDeep reinforcement learning methods → RL theory and sample complexity
- Enhancing Building Safety Design for Active Shooter Incidents: Exploration of Building Exit Parameters using Reinforcement Learning-Based SimulationsDeep reinforcement learning methods → RL for energy, networks and operations
- Boost Your NeRF: A Model-Agnostic Mixture of Experts Framework for High Quality and Efficient RenderingMixture-of-experts → Vision mixture-of-experts
- By My Eyes: Grounding Multimodal Large Language Models with Sensor Data via Visual PromptingMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- NTSEBENCH: Cognitive Reasoning Benchmark for Vision Language ModelsLLM reasoning → Multimodal reasoning +1
- An Empirical Study of Mamba-based Pedestrian Attribute RecognitionState-space sequence models (S4, Mamba) → Vision Mamba backbones
- Mutual Learning for Acoustic Matching and Dereverberation via Visual Scene-driven DiffusionDiffusion models → Audio, speech and music
- 2D Neural Fields with Learned Discontinuities
- Decoding AI and Human Authorship: Nuances Revealed Through NLP and Statistical Analysis
- Comparing Optical Flow and Deep Learning to Enable Computationally Efficient Traffic Event Detection with Space-Filling Curves
- Quantification and Validation for Degree of Understanding in M2M Semantic Communications
- Cluster and Separate: a GNN Approach to Voice and Staff Prediction for Score Engraving
- Data-Driven Abstractions via Binary-Tree Gaussian Processes for Formal Verification
- Antibody DomainBed: Out-of-Distribution Generalization in Therapeutic Protein Design
- Success Probability in Multi-View Imaging
- Social and Ethical Risks Posed by General-Purpose LLMs for Settling Newcomers in Canada
- On Machine Learning Approaches for Protein-Ligand Binding Affinity Prediction
- When AI Meets Finance (StockAgent): Large Language Model-based Stock Trading in Simulated Real-world Environments
- How Do Students Interact with an LLM-powered Virtual Teaching Assistant in Different Educational Settings?
- Guitar Chord Diagram Suggestion for Western Popular Music
- Evaluating Large Language Models with fmeval
- Multistep Brent Oil Price Forecasting with a Multi-Aspect Meta-heuristic Optimization and Ensemble Deep Learning Model
- Situated Instruction Following
- CLAMS: A System for Zero-Shot Model Selection for Clustering
- Moment Unfolding
- Novel Approach for Predicting the Air Quality Index of Megacities through Attention-Enhanced Deep Multitask Spatiotemporal Learning
- Intelligent Cross-Organizational Process Mining: A Survey and New Perspectives
- Target conversation extraction: Source separation using turn-taking dynamics
- M18K: A Comprehensive RGB-D Dataset and Benchmark for Mushroom Detection and Instance Segmentation
- Private Estimation when Data and Privacy Demands are Correlated
- Differentiable Voxelization and Mesh Morphing
- Heterogenous Multi-Source Data Fusion Through Input Mapping and Latent Variable Gaussian Process
- Enhancing Multi-Step Brent Oil Price Forecasting with Ensemble Multi-Scenario Bi-GRU Networks
- Towards High-Quality 3D Motion Transfer with Realistic Apparel Animation
- Quality Scalable Quantization Methodology for Deep Learning on Edge
- Conquering images and the basis of transformative action
- Separable Operator Networks
- Pacer and Runner: Cooperative Learning Framework between Single- and Cross-Domain Sequential Recommendation
- (Deep) Generative Geodesics
- Representation Learning and Identity Adversarial Training for Facial Behavior Understanding
All 297
- Bridging Sequence-Structure Alignment in RNA Foundation Models
- Making New Connections: LLMs as Puzzle Generators for The New York Times' Connections Word Game
- From Low Rank Gradient Subspace Stabilization to Low-Rank Weights: Observations, Theories, and Applications
- Evaluating geometric accuracy of NeRF reconstructions compared to SLAM method
- Unraveling the Truth: Do VLMs really Understand Charts? A Deep Dive into Consistency and Robustness
- Distributed Semantic Segmentation with Efficient Joint Source and Task Decoding
- TLRN: Temporal Latent Residual Networks For Large Deformation Image Registration
- Faster and Simpler Greedy Algorithm for k-Median and k-Means
- Finding Meaning in Points: Weakly Supervised Semantic Segmentation for Event Cameras
- PutnamBench: Evaluating Neural Theorem-Provers on the Putnam Mathematical Competition
- Automated essay scoring in Arabic: a dataset and analysis of a BERT-based system
- Unconstrained Open Vocabulary Image Classification: Zero-Shot Transfer from Text to Image via CLIP Inversion
- PupilSense: A Novel Application for Webcam-Based Pupil Diameter Estimation
- Actuation without production bias
- AstroMLab 1: Who Wins Astronomy Jeopardy!?
- Efficient In-Context Medical Segmentation with Meta-driven Visual Prompt Selection
- Empowering Persian LLMs for Instruction Following: A Novel Dataset and Training Approach
- Differentiable Neural-Integrated Meshfree Method for Forward and Inverse Modeling of Finite Strain Hyperelasticity
- Expert-aware uncertainty estimation for quality control of neural-based blood typing
- Transformer-based Drum-level Prediction in a Boiler Plant with Delayed Relations among Multivariates
- iHuman: Instant Animatable Digital Humans From Monocular Videos
- Efficient Unsupervised Visual Representation Learning with Explicit Cluster Balancing
- Physics-embedded Fourier Neural Network for Partial Differential Equations
- YouTube-SL-25: A Large-Scale, Open-Domain Multilingual Sign Language Parallel Corpus
- UFQA: Utility guided Fingerphoto Quality Assessment
- Lessons from a human-in-the-loop machine learning approach for identifying vacant, abandoned, and deteriorated properties in Savannah, Georgia
- Latent Linear Quadratic Regulator for Robotic Control Tasks
- Deep Learning Evidence for Global Optimality of Gerver's Sofa
- Impacts of Data Preprocessing and Hyperparameter Optimization on the Performance of Machine Learning Models Applied to Intrusion Detection Systems
- Exploring the Potentials and Challenges of Deep Generative Models in Product Design Conception
- PlayMolecule pKAce: Small Molecule Protonation through Equivariant Neural Networks
- Enhancing Electrocardiogram Signal Analysis Using NLP-Inspired Techniques: A Novel Approach with Embedding and Self-Attention
- Inertial Confinement Fusion Forecasting via Large Language Models
- Static and multivariate-temporal attentive fusion transformer for readmission risk prediction
- DeepGate3: Towards Scalable Circuit Representation Learning
- Robust Score-Based Quickest Change Detection
- Make-An-Agent: A Generalizable Policy Network Generator with Behavior-Prompted Diffusion
- VGBench: Evaluating Large Language Models on Vector Graphics Understanding and Generation
- Q-Sparse: All Large Language Models can be Fully Sparsely-Activated
- No Train, all Gain: Self-Supervised Gradients Improve Deep Frozen Representations
- Fast Matrix Multiplications for Lookup Table-Quantized LLMs
- A Unified Probabilistic Approach to Traffic Conflict Detection
- Ref-AVS: Refer and Segment Objects in Audio-Visual Scenes
- Enhancing Stochastic Optimization for Statistical Efficiency Using ROOT-SGD with Diminishing Stepsize
- A Unified Differentiable Boolean Operator with Fuzzy Logic
- A Multilingual Dataset and Empirical Validation for the Mutual Reinforcement Effect in Information Extraction
- Representing Rule-based Chatbots with Transformers
- Can Textual Semantics Mitigate Sounding Object Segmentation Preference?
- GRUtopia: Dream General Robots in a City at Scale
- STARS: Self-supervised Tuning for 3D Action Recognition in Skeleton Sequences
- In-Loop Filtering via Trained Look-Up Tables
- Leveraging Bi-Focal Perspectives and Granular Feature Integration for Accurate Reliable Early Alzheimer's Detection
- PartImageNet++ Dataset: Scaling up Part-based Models for Robust Recognition
- When Heterophily Meets Heterogeneity: Challenges and a New Large-Scale Graph Benchmark
- Interpreting Hand gestures using Object Detection and Digits Classification
- Leveraging LLM-Respondents for Item Evaluation: a Psychometric Analysis
- Leveraging Multimodal CycleGAN for the Generation of Anatomically Accurate Synthetic CT Scans from MRIs
- Hey, That's My Model! Introducing Chain & Hash, An LLM Fingerprinting Technique
- SLIP: Securing LLMs IP Using Weights Decomposition
- Deep Causal Learning to Explain and Quantify The Geo-Tension's Impact on Natural Gas Market
- RepVF: A Unified Vector Fields Representation for Multi-task 3D Perception
- Random Channel Ablation for Robust Hand Gesture Classification with Multimodal Biosignals
- Understanding the Importance of Evolutionary Search in Automated Heuristic Design with Large Language Models
- Provable Robustness of (Graph) Neural Networks Against Data Poisoning and Backdoor Attacks
- R3D-AD: Reconstruction via Diffusion for 3D Anomaly Detection
- Human-Centric Transformer for Domain Adaptive Action Recognition
- Weighted Grouped Query Attention in Transformers
- Principal Component Flow Map Learning of PDEs from Incomplete, Limited, and Noisy Data
- Bring Your Own Prompts: Use-Case-Specific Bias and Fairness Evaluation for LLMs
- Improved Uncertainty Estimation of Graph Neural Network Potentials Using Engineered Latent Space Distances
- Data-Guided Physics-Informed Neural Networks for Solving Inverse Problems in Partial Differential Equations
- MetaLLM: A High-performant and Cost-efficient Dynamic Framework for Wrapping LLMs
- Temporal Event Stereo via Joint Learning with Stereoscopic Flow
- BiasScanner: Automatic Detection and Classification of News Bias to Strengthen Democracy
- Towards Enhanced Classification of Abnormal Lung sound in Multi-breath: A Light Weight Multi-label and Multi-head Attention Classification Method
- LLM Circuit Analyses Are Consistent Across Training and Scale
- Wicked Oddities: Selectively Poisoning for Effective Clean-Label Backdoor Attacks
- Enabling MCTS Explainability for Sequential Planning Through Computation Tree Logic
- Foundational Autoraters: Taming Large Language Models for Better Automatic Evaluation
- Pathology-knowledge Enhanced Multi-instance Prompt Learning for Few-shot Whole Slide Image Classification
- FabGPT: An Efficient Large Multimodal Model for Complex Wafer Defect Knowledge Queries
- Employing Sentence Space Embedding for Classification of Data Stream from Fake News Domain
- Enhancing Robustness to Noise Corruption for Point Cloud Recognition via Spatial Sorting and Set-Mixing Aggregation Module
- Mix-CPT: A Domain Adaptation Framework via Decoupling Knowledge Learning and Format Alignment
- Motion-prior Contrast Maximization for Dense Continuous-Time Motion Estimation
- Mammographic Breast Positioning Assessment via Deep Learning
- Graphusion: Leveraging Large Language Models for Scientific Knowledge Graph Fusion and Construction in NLP Education
- GraphEval: A Knowledge-Graph Based LLM Hallucination Evaluation Framework
- AdapTable: Test-Time Adaptation for Tabular Data via Shift-Aware Uncertainty Calibrator and Label Distribution Handler
- Correlations Are Ruining Your Gradient Descent
- The Missing Link: Allocation Performance in Causal Machine Learning
- Domain Generalization for 6D Pose Estimation Through NeRF-based Image Synthesis
- Physics-Informed Machine Learning for Smart Additive Manufacturing
- Qwen2-Audio Technical Report
- Continual Deep Learning on the Edge via Stochastic Local Competition among Subnetworks
- GTPT: Group-based Token Pruning Transformer for Efficient Human Pose Estimation
- An Autonomous Drone Swarm for Detecting and Tracking Anomalies among Dense Vegetation
- OPEN: Object-wise Position Embedding for Multi-view 3D Object Detection
- SEED: A Simple and Effective 3D DETR in Point Clouds
- Codebook LLMs: Evaluating LLMs as Measurement Tools for Political Science Concepts
- What distinguishes conspiracy from critical narratives? A computational analysis of oppositional discourse
- AccDiffusion: An Accurate Method for Higher-Resolution Image Generation
- Aligning Neuronal Coding of Dynamic Visual Scenes with Foundation Vision Models
- Transforming Agency. On the mode of existence of Large Language Models
- On-Device Training of Fully Quantized Deep Neural Networks on Cortex-M Microcontrollers
- Joint-Embedding Predictive Architecture for Self-Supervised Learning of Mask Classification Architecture
- ConvBench: A Comprehensive Benchmark for 2D Convolution Primitive Evaluation
- CLAVE: An Adaptive Framework for Evaluating Values of LLM Generated Responses
- Anticipating Future Object Compositions without Forgetting
- Mitigating Data Imbalance for Software Vulnerability Assessment: Does Data Augmentation Help?
- SEMINAR: Search Enhanced Multi-modal Interest Network and Approximate Retrieval for Lifelong Sequential Recommendation
- Detecting Omissions in Geographic Maps through Computer Vision
- Interactive Rendering of Relightable and Animatable Gaussian Avatars
- Towards Robust Event-based Networks for Nighttime via Unpaired Day-to-Night Event Translation
- Geometric Analysis of Unconstrained Feature Models with d=K
- DOCBENCH: A Benchmark for Evaluating LLM-based Document Reading Systems
- Deep ContourFlow: Advancing Active Contours with Deep Learning
- IE-NeRF: Inpainting Enhanced Neural Radiance Fields in the Wild
- Features Reconstruction Disentanglement Cloth-Changing Person Re-Identification
- textttMixGR: Enhancing Retriever Generalization for Scientific Domain through Complementary Granularity
- Classification of Heart Sounds Using Multi-Branch Deep Convolutional Network and LSTM-CNN
- Probability Passing for Graph Neural Networks: Graph Structure and Representations Joint Learning
- FRI-Net: Floorplan Reconstruction via Room-wise Implicit Representation
- GeoMix: Towards Geometry-Aware Data Augmentation
- Qwen2 Technical Report
- Flow Perturbation to Accelerate Unbiased Sampling of Boltzmann distribution
- Spatio-temporal neural distance fields for conditional generative modeling of the heart
- XEQ Scale for Evaluating XAI Experience Quality
- OVLW-DETR: Open-Vocabulary Light-Weighted Detection Transformer
- Cutting Through the Clutter: The Potential of LLMs for Efficient Filtration in Systematic Literature Reviews
- Adaptive Patch Contrast for Weakly Supervised Semantic Segmentation
- Prompt Selection Matters: Enhancing Text Annotations for Social Sciences with Large Language Models
- Risk-aware Trajectory Prediction by Incorporating Spatio-temporal Traffic Interaction Analysis
- Evaluating Model Bias Requires Characterizing its Mistakes
- Bidirectional Stereo Image Compression with Cross-Dimensional Entropy Model
- Brain Tumor Classification From MRI Images Using Machine Learning
- Arena Learning: Build Data Flywheel for LLMs Post-training via Simulated Chatbot Arena
- NoviCode: Generating Programs from Natural Language Utterances by Novices
- An evaluation of CNN models and data augmentation techniques in hierarchical localization of mobile robots
- Deep-Learning-Based Markerless Pose Estimation Systems in Gait Analysis: DeepLabCut Custom Training and the Refinement Function
- COSMU: Complete 3D human shape from monocular unconstrained images
- Boosting Zero-Shot Crosslingual Performance using LLM-Based Augmentations with Effective Data Selection
- Leveraging Hybrid Intelligence Towards Sustainable and Energy-Efficient Machine Learning
- A Survey of Defenses Against AI-Generated Visual Media: Detection,Disruption, and Authentication
- Stacking-Enhanced Bagging Ensemble Learning for Breast Cancer Classification with CNN
- PULPo: Probabilistic Unsupervised Laplacian Pyramid Registration
- Pathformer3D: A 3D Scanpath Transformer for 360deg Images
- LIP-CAR: contrast agent reduction by a deep learned inverse problem
- ConTEXTure: Consistent Multiview Images to Texture
- Beyond Generative Artificial Intelligence: Roadmap for Natural Language Generation
- Learning Natural Consistency Representation for Face Forgery Video Detection
- Learning Social Cost Functions for Human-Aware Path Planning
- LightCL: Compact Continual Learning with Low Memory Footprint For Edge Device
- Understanding the Dependence of Perception Model Competency on Regions in an Image
- 3D Geometric Shape Assembly via Efficient Point Cloud Matching
- Segmentation of Prostate Tumour Volumes from PET Images is a Different Ball Game
- An experimental evaluation of Siamese Neural Networks for robot localization using omnidirectional imaging in indoor environments
- Automated Label Unification for Multi-Dataset Semantic Segmentation with GNNs
- MARVEL: MR Fingerprinting with Additional micRoVascular Estimates using bidirectional LSTMs
- TCM-FTP: Fine-Tuning Large Language Models for Herbal Prescription Prediction
- A pragmatic policy learning approach to account for users' fatigue in repeated auctions
- Improving Hyperbolic Representations via Gromov-Wasserstein Regularization
- How and where does CLIP process negation?
- Lite2Relight: 3D-aware Single Image Portrait Relighting
- IDEAL: Leveraging Infinite and Dynamic Characterizations of Large Language Models for Query-focused Summarization
- Understanding Matrix Function Normalizations in Covariance Pooling through the Lens of Riemannian Geometry
- NGP-RT: Fusing Multi-Level Hash Features with Lightweight Attention for Real-Time Novel View Synthesis
- Deep Learning-Based Operators for Evolutionary Algorithms
- BandCondiNet: Parallel Transformers-based Conditional Popular Music Generation with Multi-View Features
- The Good, The Bad, and The Greedy: Evaluation of LLMs Should Not Ignore Non-Determinism
- Enhancing Medication Recommendation with LLM Text Representation
- GraphPrint: Extracting Features from 3D Protein Structure for Drug Target Affinity Prediction
- A Fast, Robust Elliptical Slice Sampling Implementation for Linearly Truncated Multivariate Normal Distributions
- Spectral Representation for Causal Estimation with Hidden Confounders
- DDFAD: Dataset Distillation Framework for Audio Data
- Backdoor Attacks against Image-to-Image Networks
- Inference at the data's edge: Gaussian processes for modeling and inference under model-dependency, poor overlap, and extrapolation
- PolyRoom: Room-aware Transformer for Floorplan Reconstruction
- A Multi-Stage Framework for 3D Individual Tooth Segmentation in Dental CBCT
- Expanding the Scope: Inductive Knowledge Graph Reasoning with Multi-Starting Progressive Propagation
- Transformer for Multitemporal Hyperspectral Image Unmixing
- CodeV: Empowering LLMs with HDL Generation through Multi-Level Summarization
- Learning Rapid Turning, Aerial Reorientation, and Balancing using Manipulator as a Tail
- Omni-Dimensional Frequency Learner for General Time Series Analysis
- An integrated perspective of robustness in regression through the lens of the bias-variance trade-off
- Proper losses regret at least 1/2-order
- Teaching CORnet Human fMRI Representations for Enhanced Model-Brain Alignment
- Melon Fruit Detection and Quality Assessment Using Generative AI-Based Image Data Augmentation
- Towards Scale-Aware Full Surround Monodepth with Transformers
- Cooperative Reward Shaping for Multi-Agent Pathfinding
- Exploring the Impact of Moire Pattern on Deepfake Detectors
- Masked Generative Video-to-Audio Transformers with Enhanced Synchronicity
- Learning to Represent Surroundings, Anticipate Motion and Take Informed Actions in Unstructured Environments
- Communication- and Computation-Efficient Distributed Submodular Optimization in Robot Mesh Networks
- Enhanced Masked Image Modeling to Avoid Model Collapse on Multi-modal MRI Datasets
- Large Language Model-based FMRI Encoding of Language Functions for Subjects with Neurocognitive Disorder
- Accessing Vision Foundation Models via ImageNet-1K