Papers
Mon 19 Aug 2024
288 papers
- A Dataset for Mechanical MechanismsDiffusion models → Diffusion and flow policies for robotics
- CoVLA: Comprehensive Vision-Language-Action Dataset for Autonomous DrivingEnd-to-end autonomous driving → Reasoning VLA and VLM driving policies
- IDEA: Enhancing the Rule Learning Ability of Large Language Model Agent through Induction, Deduction, and AbductionLLM agents and tool use → General LLM agent frameworks and benchmarks
- Kubrick: Multimodal Agent Collaborations for Synthetic Video GenerationLLM agents and tool use → Multimodal and embodied agents
- The Brittleness of AI-Generated Image Watermarking Techniques: Examining Their Robustness Against Visual Paraphrasing AttacksDiffusion models → Robustness, privacy and adversarial aspects +1
- Enhanced document retrieval with topic embeddingsRetrieval-augmented generation → RAG pipeline design and evaluation
- CLIP-DPO: Vision-Language Models as a Source of Preference for Fixing Hallucinations in LVLMsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs +1
- Value Alignment from Unstructured TextLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- Efficient Reinforcement Learning in Probabilistic Reward MachinesDeep reinforcement learning methods → RL theory and sample complexity
- LegalBench-RAG: A Benchmark for Retrieval-Augmented Generation in the Legal DomainRetrieval-augmented generation → Legal and financial RAG
- A Disguised Wolf Is More Harmful Than a Toothless Tiger: Adaptive Malicious Code Injection Backdoor Attack Leveraging User Behavior as TriggersLLM safety and security → Backdoor and data poisoning attacks
- AdapMoE: Adaptive Sensitivity-based Expert Gating and Management for Efficient MoE InferenceMixture-of-experts → Efficient MoE training and inference systems
- SANER: Annotation-free Societal Attribute Neutralizer for Debiasing CLIPMultimodal LLMs / vision-language models → Social bias and fairness in VLMs
- MeshFormer: High-Quality Mesh Generation with 3D-Guided Reconstruction ModelDiffusion models → 3D, point cloud and scene generation
- SpaRP: Fast 3D Object Reconstruction and Pose Estimation from Sparse ViewsDiffusion models → 3D, point cloud and scene generation
- Transformers to SSMs: Distilling Quadratic Knowledge to Subquadratic ModelsState-space sequence models (S4, Mamba) → Core SSM architectures for language
- LongVILA: Scaling Long-Context Visual Language Models for Long VideosMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Customizing Language Models with Instance-wise LoRA for Sequential RecommendationMixture-of-experts → MoE for recommender systems
- R2-Mesh: Reinforcement Learning Powered Mesh Reconstruction via Geometry and Appearance RefinementDeep reinforcement learning methods → RL with diffusion and flow models
- Enhancing Reinforcement Learning Through Guided SearchOffline RL and imitation learning from data → Offline RL algorithms
- ARMADA: Attribute-Based Multimodal Data AugmentationMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Personalizing Reinforcement Learning from Human Feedback with Variational Preference LearningLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- FFAA: Multimodal Large Language Model based Explainable Open-World Face Forgery Analysis AssistantMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- Efficient Exploration in Deep Reinforcement Learning: A Novel Bayesian Actor-Critic AlgorithmDeep reinforcement learning methods → Deep RL algorithms and representations
- Deterministic Policy Gradient Primal-Dual Methods for Continuous-Space Constrained MDPsDeep reinforcement learning methods → RL theory and sample complexity
- Adaptive BESS and Grid Setpoints Optimization: A Model-Free Framework for Efficient Battery Management under Dynamic Tariff PricingDeep reinforcement learning methods → RL for energy, networks and operations
- Boosting Open-Domain Continual Learning via Leveraging Intra-domain Category-aware PrototypeMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- The Exploration-Exploitation Dilemma Revisited: An Entropy PerspectiveDeep reinforcement learning methods → Deep RL algorithms and representations
- Edge-Cloud Collaborative Motion Planning for Autonomous Driving with Large Language ModelsEnd-to-end autonomous driving → Large language models for driving
- MegaAgent: A Large-Scale Autonomous LLM-based Multi-Agent System Without Predefined SOPsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Attribution Analysis Meets Model Editing: Advancing Knowledge Correction in Vision Language Models with VisEditMultimodal LLMs / vision-language models → Image editing and quality assessment
- Instruction-Based Molecular Graph Generation with Unified Text-Graph Diffusion ModelDiffusion models → Flow matching, time series and science
- Transferring Backdoors between Large Language Models by Knowledge DistillationLLM safety and security → Backdoor and data poisoning attacks
- OccMamba: Semantic Occupancy Prediction with State Space ModelsState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
- X-TURING: Towards an Enhanced and Efficient Turing Test for Long-Term Dialogue AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Importance Weighting Can Help Large Language Models Self-ImproveSynthetic data and self-improvement for LLMs → Self-rewarding alignment and self-training
- Demystifying Reinforcement Learning in Production Scheduling via Explainable AIDeep reinforcement learning methods → RL for energy, networks and operations
- Minor DPO reject penalty to increase training robustnessLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- SurgicaL-CD: Generating Surgical Images via Unpaired Image Translation with Latent Consistency Diffusion ModelsDiffusion models → Medical imaging and segmentation
- Reset-free Reinforcement Learning with World ModelsWorld models → Latent dynamics models and model-based RL +1
- Latent Diffusion for Guided Document Table GenerationDiffusion models → Flow matching, time series and science
- Enhance Modality Robustness in Text-Centric Multimodal Alignment with Adversarial PromptingLLM safety and security → Vision-language and text-to-image safety
- Unsupervised Composable Representations for AudioDiffusion models → Audio, speech and music
- Anim-Director: A Large Multimodal Model Powered Agent for Controllable Animation Video GenerationMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- GoNoGo: An Efficient LLM-based Multi-Agent System for Streamlining Automotive Software Release Decision-MakingLLM agents and tool use → Software engineering coding agents
- Carbon Footprint Accounting Driven by Large Language Models and Retrieval-augmented GenerationRetrieval-augmented generation → Agentic RAG, agents and memory
- MePT: Multi-Representation Guided Prompt Tuning for Vision-Language ModelMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Community-Centric Graph UnlearningLLM safety and security → Graph unlearning
- Photorealistic Object Insertion with Diffusion-Guided Inverse RenderingDiffusion models → 3D, point cloud and scene generation
- Harnessing Multimodal Large Language Models for Multimodal Sequential RecommendationMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- An Efficient Deep Reinforcement Learning Model for Online 3D Bin Packing Combining Object Rearrangement and Stable PlacementDeep reinforcement learning methods → RL for robot navigation and UAV control
- Simulating Field Experiments with Large Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
- Multi-Agent Reinforcement Learning for Autonomous Driving: A SurveyEnd-to-end autonomous driving → Reinforcement learning for driving
- BLADE: Benchmarking Language Model Agents for Data-Driven ScienceLLM agents and tool use → Web, search, and research agents
- CusADi: A GPU Parallelization Framework for Symbolic Expressions and Optimal ControlDeep reinforcement learning methods → RL for energy, networks and operations
- AI, Entrepreneurs, and Privacy: Deep Learning Outperforms Humans in Detecting Entrepreneurs from Image Data
- Modeling Human Strategy for Flattening Wrinkled Cloth Using Neural Networks
- Combining supervised and unsupervised learning methods to predict financial market movements
- Efficient Scene Appearance Aggregation for Level-of-Detail Rendering
- Toward Large-scale Spiking Neural Networks: A Comprehensive Survey and Future Directions
- AI-Powered Dynamic Fault Detection and Performance Assessment in Photovoltaic Systems
- Extending Machine Learning Based RF Coverage Predictions to 3D
- No Need to Sacrifice Data Quality for Quantity: Crowd-Informed Machine Annotation for Cost-Effective Understanding of Visual Data
- Rethinking Molecular Design: Integrating Latent Variable and Auto-Regressive Models for Goal Directed Generation
- PolypDB: A Curated Multi-Center Dataset for Development of AI Algorithms in Colonoscopy
- A More Accurate Approximation of Activation Function with Few Spikes Neurons
- Active learning of digenic functions with boolean matrix logic programming
- Parameter-Efficient Transfer Learning under Federated Learning for Automatic Speech Recognition
- MegaFake: A Theory-Driven Dataset of Fake News Generated by Large Language Models
- ELDER: Enhancing Lifelong Model Editing with Mixture-of-LoRA
- Improving embedding with contrastive fine-tuning on small datasets with expert-augmented scores
- Solving Oscillator Ordinary Differential Equations in the Time Domain with High Performance via Soft-constrained Physics-informed Neural Network with Small Data
- Harmonizing Attention: Training-free Texture-aware Geometry Transfer
- Detecting Wildfires on UAVs with Real-time Segmentation Trained by Larger Teacher Models
- DELIA: Diversity-Enhanced Learning for Instruction Adaptation in Large Language Models
- Parkinson's Disease Classification via EEG: All You Need is a Single Convolutional Layer
- Differentially Private Stochastic Gradient Descent with Fixed-Size Minibatches: Tighter RDP Guarantees with or without Replacement
- RUMI: Rummaging Using Mutual Information
- Federated Learning of Large ASR Models in the Real World
- Feasibility of assessing cognitive impairment via distributed camera network and privacy-preserving edge computing
- Goldfish: Monolingual Language Models for 350 Languages
- Understanding Generative AI Content with Embedding Models
- Learning Regularization for Graph Inverse Problems
- Are LLMs Any Good for High-Level Synthesis?
- Second-Order Forward-Mode Automatic Differentiation for Optimization
- Development of an AI Anti-Bullying System Using Large Language Model Key Topic Detection
- Towards Automation of Human Stage of Decay Identification: An Artificial Intelligence Approach
- Resolving Lexical Bias in Model Editing
- Accelerating Point Cloud Ground Segmentation: From Mechanical to Solid-State Lidars
- Webcam-based Pupil Diameter Prediction Benefits from Upscaling
- Evaluating Image-Based Face and Eye Tracking with Event Cameras
- Joint Modeling of Search and Recommendations Via an Unified Contextual Recommender (UniCoRn)
- Narrowing the Gap between Vision and Action in Navigation
- BrewCLIP: A Bifurcated Representation Learning Framework for Audio-Visual Retrieval
- Boolean Matrix Logic Programming on the GPU
- Deep-MacroFin: Informed Equilibrium Neural Network for Continuous Time Economic Models
- AI-Driven Review Systems: Evaluating LLMs in Scalable and Bias-Aware Academic Reviews
- Query languages for neural networks
- HaSPeR: An Image Repository for Hand Shadow Puppet Recognition
- Beyond Relevant Documents: A Knowledge-Intensive Approach for Query-Focused Summarization using Large Language Models
All 288
- Investigating the diversity and stylization of contemporary user generated visual arts in the complexity entropy plane
- On the Identifiability of Sparse ICA without Assuming Non-Gaussianity
- The Psychological Impacts of Algorithmic and AI-Driven Social Media on Teenagers: A Call to Action
- AIR: Analytic Imbalance Rectifier for Continual Learning
- Can an unsupervised clustering algorithm reproduce a categorization system?
- Spectral Guarantees for Adversarial Streaming PCA
- Meta-Learning in Audio and Speech Processing: An End to End Comprehensive Review
- Decoding Human Emotions: Analyzing Multi-Channel EEG Data using LSTM Networks
- Leveraging Superfluous Information in Contrastive Representation Learning
- Chatbots and Zero Sales Resistance
- Augmenting train maintenance technicians with automated incident diagnostic suggestions
- Recognizing Beam Profiles from Silicon Photonics Gratings using Transformer Model
- GARLIC: GPT-Augmented Reinforcement Learning with Intelligent Control for Vehicle Dispatching
- BatGPT-Chem: A Foundation Large Model For Retrosynthesis Prediction
- Perception-based multiplicative noise removal using SDEs
- KAN 2.0: Kolmogorov-Arnold Networks Meet Science
- Criticality Leveraged Adversarial Training (CLAT) for Boosted Performance via Parameter Efficiency
- Demystifying the Communication Characteristics for Distributed Transformer Models
- Area under the ROC Curve has the Most Consistent Evaluation for Binary Classification
- Assessment of Spectral based Solutions for the Detection of Floating Marine Debris
- Imbalance-Aware Culvert-Sewer Defect Segmentation Using an Enhanced Feature Pyramid Network
- NeuRodin: A Two-stage Framework for High-Fidelity Neural Surface Reconstruction
- Fairness Under Cover: Evaluating the Impact of Occlusions on Demographic Bias in Facial Recognition
- SMILE: Zero-Shot Sparse Mixture of Low-Rank Experts Construction From Pre-Trained Foundation Models
- Physics-Aware Combinatorial Assembly Sequence Planning using Data-free Action Masking
- NeuFlow v2: Push High-Efficiency Optical Flow To the Limit
- LoopSplat: Loop Closure by Registering 3D Gaussian Splats
- Structure-preserving Image Translation for Depth Estimation in Colonoscopy Video
- Multilingual Needle in a Haystack: Investigating Long-Context Behavior of Multilingual Large Language Models
- In-Context Learning with Representations: Contextual Generalization of Trained Transformers
- Multi-Scale Representation Learning for Image Restoration with State-Space Model
- Instruction Finetuning for Leaderboard Generation from Empirical AI Research
- Robust spectral clustering with rank statistics
- Perceptual Depth Quality Assessment of Stereoscopic Omnidirectional Images
- Rhyme-aware Chinese lyric generator based on GPT
- UNINEXT-Cutie: The 1st Solution for LSVOS Challenge RVOS Track
- Advancing Voice Cloning for Nepali: Leveraging Transfer Learning in a Low-Resource Language
- Learning Brave Assumption-Based Argumentation Frameworks via ASP
- Video Object Segmentation via SAM 2: The 4th Solution for LSVOS Challenge VOS Track
- Molecular Graph Representation Learning Integrating Large Language Models with Domain-specific Small Models
- Learning Precise Affordances from Egocentric Videos for Robotic Manipulation
- Geometry Informed Tokenization of Molecules for Language Model Generation
- Factorized-Dreamer: Training A High-Quality Video Generator with Limited and Low-Quality Data
- GLIMMER: Incorporating Graph and Lexical Features in Unsupervised Multi-Document Summarization
- LENS: Large Pre-trained Transformer for Exploring Financial Time Series Regularities
- Envisioning Possibilities and Challenges of AI for Personalized Cancer Care
- Perturb-and-Compare Approach for Detecting Out-of-Distribution Samples in Constrained Access Environments
- Convert and Speak: Zero-shot Accent Conversion with Minimum Supervision
- Federated Frank-Wolfe Algorithm
- MASALA: Model-Agnostic Surrogate Explanations by Locality Adaptation
- TANGO: Clustering with Typicality-Aware Nonlocal Mode-Seeking and Graph-Cut Optimization
- No Screening is More Efficient with Multiple Objects
- Synthesis of Reward Machines for Multi-Agent Equilibrium Design (Full Version)
- Modelling the Distribution of Human Motion for Sign Language Assessment
- LNQ 2023 challenge: Benchmark of weakly-supervised techniques for mediastinal lymph node quantification
- Towards a Benchmark for Colorectal Cancer Segmentation in Endorectal Ultrasound Videos: Dataset and Model Development
- Facial Wrinkle Segmentation for Cosmetic Dermatology: Pretraining with Texture Map-Based Weak Supervision
- Privacy Checklist: Privacy Violation Detection Grounding on Contextual Integrity Theory
- Exploiting Fine-Grained Prototype Distribution for Boosting Unsupervised Class Incremental Learning
- Implicit Gaussian Splatting with Efficient Multi-Level Tri-Plane Representation
- The Practimum-Optimum Algorithm for Manufacturing Scheduling: A Paradigm Shift Leading to Breakthroughs in Scale and Performance
- MSDiagnosis: A Benchmark for Evaluating Large Language Models in Multi-Step Clinical Diagnosis
- SHARP: Segmentation of Hands and Arms by Range using Pseudo-Depth for Enhanced Egocentric 3D Hand Pose Estimation and Action Recognition
- Dynamic Label Injection for Imbalanced Industrial Defect Segmentation
- Towards Robust Federated Image Classification: An Empirical Study of Weight Selection Strategies in Manufacturing
- Detecting Adversarial Attacks in Semantic Segmentation via Uncertainty Estimation: A Deep Analysis
- CLIPCleaner: Cleaning Noisy Labels with CLIP
- PinnDE: Physics-Informed Neural Networks for Solving Differential Equations
- P3P: Pseudo-3D Pre-training for Scaling 3D Voxel-based Masked Autoencoders
- Unlocking the Power of LSTM for Long Term Time Series Forecasting
- Towards a Knowledge Graph for Models and Algorithms in Applied Mathematics
- The Fairness-Quality Trade-off in Clustering
- Uniting contrastive and generative learning for event sequences models
- Parseval Convolution Operators and Neural Networks
- Preference-Optimized Pareto Set Learning for Blackbox Optimization
- Unsupervised Machine Learning Hybrid Approach Integrating Linear Programming in Loss Function: A Robust Optimization Technique
- Mask in the Mirror: Implicit Sparsification
- AdaResNet: Enhancing Residual Networks with Dynamic Weight Adjustment for Improved Feature Integration
- Contextual Importance and Utility in Python: New Functionality and Insights with the py-ciu Package
- Weakly Supervised Pretraining and Multi-Annotator Supervised Finetuning for Facial Wrinkle Detection
- Principle Driven Parameterized Fiber Model based on GPT-PINN Neural Network
- C2RL: Content and Context Representation Learning for Gloss-free Sign Language Translation and Retrieval
- Caption-Driven Explorations: Aligning Image and Text Embeddings through Human-Inspired Foveated Vision
- Fiber Transmission Model with Parameterized Inputs based on GPT-PINN Neural Network
- Fine-Grained and Thematic Evaluation of LLMs in Social Deduction Game
- Large Language Models for Classical Chinese Poetry Translation: Benchmarking, Evaluating, and Improving
- Predicting path-dependent processes by deep learning
- ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer
- "Image, Tell me your story!" Predicting the original meta-context of visual misinformation
- The curse of random quantum data
- Electron-nucleus cross sections from transfer learning
- SZU-AFS Antispoofing System for the ASVspoof 5 Challenge
- Pose-GuideNet: Automatic Scanning Guidance for Fetal Head Ultrasound from Pose Estimation
- Data Augmentation of Contrastive Learning is Estimating Positive-incentive Noise
- Enforcing View-Consistency in Class-Agnostic 3D Segmentation Fields
- Sliced Maximal Information Coefficient: A Training-Free Approach for Image Quality Assessment Enhancement
- Long-Tail Temporal Action Segmentation with Group-wise Temporal Logit Adjustment
- Expressive Power of Temporal Message Passing
- Active Learning for Identifying Disaster-Related Tweets: A Comparison with Keyword Filtering and Generic Fine-Tuning
- Harnessing Multi-resolution and Multi-scale Attention for Underwater Image Restoration
- pSVM: Soft-margin SVMs with p-norm Hinge Loss
- LCE: A Framework for Explainability of DNNs for Ultrasound Image Based on Concept Discovery
- Performance Law of Large Language Models
- Preoperative Rotator Cuff Tear Prediction from Shoulder Radiographs using a Convolutional Block Attention Module-Integrated Neural Network
- Differential Private Stochastic Optimization with Heavy-tailed Data: Towards Optimal Rates
- Improved Baselines with Synchronized Encoding for Universal Medical Image Segmentation
- GINO-Q: Learning an Asymptotically Optimal Index Policy for Restless Multi-armed Bandits
- Uncertainty Quantification of Surrogate Models using Conformal Prediction
- AI-powered skin spectral imaging enables instant sepsis diagnosis and outcome prediction in critically ill patients
- Docling Technical Report
- MAPLE: Enhancing Review Generation with Multi-Aspect Prompt LEarning in Explainable Recommendation
- 3D-Aware Instance Segmentation and Tracking in Egocentric Videos
- ShortCircuit: AlphaZero-Driven Circuit Design
- TaSL: Continual Dialog State Tracking via Task Skill Localization and Consolidation
- TeamLoRA: Boosting Low-Rank Adaptation with Expert Collaboration and Competition
- Continual Dialogue State Tracking via Reason-of-Select Distillation
- Machine Learning with Physics Knowledge for Prediction: A Survey
- Segment-Anything Models Achieve Zero-shot Robustness in Autonomous Driving
- Mitigating the Stability-Plasticity Dilemma in Adaptive Train Scheduling with Curriculum-Driven Continual DQN Expansion
- TDNetGen: Empowering Complex Network Resilience Prediction with Generative Augmentation of Topology and Dynamics
- Symplectic Neural Networks Based on Dynamical Systems
- CMoralEval: A Moral Evaluation Benchmark for Chinese Large Language Models
- Liquid Fourier Latent Dynamics Networks for fast GPU-based numerical simulations in computational cardiology
- Contextual Dual Learning Algorithm with Listwise Distillation for Unbiased Learning to Rank
- A Population-to-individual Tuning Framework for Adapting Pretrained LM to On-device User Intent Prediction
- Hear Your Face: Face-based voice conversion with F0 estimation
- AutoML-guided Fusion of Entity and LLM-based Representations for Document Classification
- ALTBI: Constructing Improved Outlier Detection Models via Optimization of Inlier-Memorization Effect
- Structure-enhanced Contrastive Learning for Graph Clustering
- Graph-guided Cross-composition Feature Disentanglement for Compositional Zero-shot Learning
- Neural Horizon Model Predictive Control -- Increasing Computational Efficiency with Neural Networks
- Summarizing long regulatory documents with a multi-step pipeline
- Faster Adaptive Decentralized Learning Algorithms
- Are Large Language Models More Honest in Their Probabilistic or Verbalized Confidence?
- MalLight: Influence-Aware Coordinated Traffic Signal Control for Traffic Signal Malfunctions
- Propagating the prior from shallow to deep with a pre-trained velocity-model Generative Transformer network
- Baby Bear: Seeking a Just Right Rating Scale for Scalar Annotations
- Event Stream based Human Action Recognition: A High-Definition Benchmark Dataset and Algorithms
- Sequential Federated Learning in Hierarchical Architecture on Non-IID Datasets
- Strategic Demonstration Selection for Improved Fairness in LLM In-Context Learning
- Parallel-in-Time Solutions with Random Projection Neural Networks
- Ensemble Prediction via Covariate-dependent Stacking
- A Unified Framework for Iris Anti-Spoofing: Introducing Iris Anti-Spoofing Cross-Domain-Testing Protocol and Masked-MoE Method
- Revisiting Reciprocal Recommender Systems: Metrics, Formulation, and Method
- Enhanced Cascade Prostate Cancer Classifier in mp-MRI Utilizing Recall Feedback Adaptive Loss and Prior Knowledge-Based Feature Extraction
- RealCustom++: Representing Images as Real Textual Word for Real-Time Customization
- R2GenCSR: Mining Contextual and Residual Information for LLMs-based Radiology Report Generation
- Paired Completion: Flexible Quantification of Issue-framing at Scale with LLMs
- TraDiffusion: Trajectory-Based Training-Free Image Generation
- Coarse-Fine View Attention Alignment-Based GAN for CT Reconstruction from Biplanar X-Rays
- Icing on the Cake: Automatic Code Summarization at Ericsson
- Mutually-Aware Feature Learning for Few-Shot Object Counting
- Reconstruct Spine CT from Biplanar X-Rays via Diffusion Learning
- sTransformer: A Modular Approach for Extracting Inter-Sequential and Temporal Information for Time-Series Forecasting
- Towards Few-Shot Learning in the Open World: A Review and Beyond
- Pedestrian Attribute Recognition: A New Benchmark Dataset and A Large Language Model Augmented Framework
- Confirmation Bias in Gaussian Mixture Models
- SEMDR: A Semantic-Aware Dual Encoder Model for Legal Judgment Prediction with Legal Clue Tracing
- HYDEN: Hyperbolic Density Representations for Medical Images and Reports
- Dataset Distillation for Histopathology Image Classification
- Partial-Multivariate Model for Forecasting
- Bridging the Language Gap: Enhancing Multilingual Prompt-Based Code Generation in LLMs via Zero-Shot Cross-Lingual Transfer
- On the Integration of Spatial-Temporal Knowledge: A Lightweight Approach to Atmospheric Time Series Forecasting
- Recording for Eyes, Not Echoing to Ears: Contextualized Spoken-to-Written Conversion of ASR Transcripts
- TESL-Net: A Transformer-Enhanced CNN for Accurate Skin Lesion Segmentation
- MambaLoc: Efficient Camera Localisation via State Space Model
- Image-based Freeform Handwriting Authentication with Energy-oriented Self-Supervised Learning
- Implicit Grid Convolution for Multi-Scale Image Super-Resolution
- Regularization for Adversarial Robust Learning
- Topology-aware Human Avatars with Semantically-guided Gaussian Splatting
- 3D-Consistent Human Avatars with Sparse Inputs via Gaussian Splatting and Contrastive Learning
- A Comparison of Large Language Model and Human Performance on Random Number Generation Tasks
- Contextual Bandits for Unbounded Context Distributions
- Interaction-Data-guided Conditional Instrumental Variables for Debiasing Recommender Systems
- From Darkness to Detail: Frequency-Aware SSMs for Low-Light Vision
- Deep Learning-based Machine Condition Diagnosis using Short-time Fourier Transformation Variants
- C2P-CLIP: Injecting Category Common Prompt in CLIP to Enhance Generalization in Deepfake Detection
- Debiased Contrastive Representation Learning for Mitigating Dual Biases in Recommender Systems
- Exploring Wavelet Transformations for Deep Learning-based Machine Condition Diagnosis
- Acquiring Bidirectionality via Large and Small Language Models
- How to Make the Most of LLMs' Grammatical Knowledge for Acceptability Judgments
- Meta-Learning on Augmented Gene Expression Profiles for Enhanced Lung Cancer Detection
- Branch and Bound to Assess Stability of Regression Coefficients in Uncertain Models
- MoDeGPT: Modular Decomposition for Large Language Model Compression
- A Strategy to Combine 1stGen Transformers and Open LLMs for Automatic Text Classification
- On the Foundations of Conflict-Driven Solving for Hybrid MKNF Knowledge Bases
- Attention is a smoothed cubic spline
- Refining Packing and Shuffling Strategies for Enhanced Performance in Generative Language Models