Papers
Wed 1 Jan 2025
127 papers
- SmartSpatial: Enhancing the 3D Spatial Arrangement Capabilities of Stable Diffusion Models and Introducing a Novel 3D Spatial Evaluation FrameworkDiffusion models → Image generation, text-to-image and editing
- 2.5 Years in Class: A Multimodal Textbook for Vision-Language PretrainingMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Cached Adaptive Token Merging: Dynamic Token Reduction and Redundant Computation Elimination in Diffusion ModelDiffusion models → Diffusion foundations and sampling +1
- Diffusion Prism: Enhancing Diversity and Morphology Consistency in Mask-to-Image DiffusionDiffusion models → Diffusion foundations and sampling
- A Novel Diffusion Model for Pairwise Geoscience Data Generation with Unbalanced Training DatasetDiffusion models → Flow matching, time series and science
- Hierarchical Vision-Language Alignment for Text-to-Image Generation via Diffusion ModelsMultimodal LLMs / vision-language models → Image editing and quality assessment +1
- Diffusion Policies for Generative Modeling of Spacecraft TrajectoriesDiffusion models → Diffusion and flow policies for robotics
- β-DQN: Improving Deep Q-Learning By Evolving the BehaviorDeep reinforcement learning methods → Deep RL algorithms and representations
- Aligning LLMs with Domain Invariant Reward ModelsLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Population Aware Diffusion for Time Series GenerationDiffusion models → Flow matching, time series and science
- Large Language Model Based Multi-Agent System Augmented Complex Event Processing Pipeline for Internet of Multimedia ThingsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Diversity Optimization for Travelling Salesman Problem via Deep Reinforcement LearningDeep reinforcement learning methods → RL for games and combinatorial optimization
- Agentic Systems: A Guide to Transforming Industries with Vertical AI AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- TrustRAG: Enhancing Robustness and Trustworthiness in Retrieval-Augmented GenerationRetrieval-augmented generation → Privacy and security of RAG
- Exploring Structured Semantic Priors Underlying Diffusion Score for Test-time AdaptationDiffusion models → Diffusion foundations and sampling
- Interactionalism: Re-Designing Higher Learning for the Large Language Agent EraLLM agents and tool use → Educational agents and math problem solving
- Hybridising Reinforcement Learning and Heuristics for Hierarchical Directed Arc Routing ProblemsDeep reinforcement learning methods → RL for games and combinatorial optimization
- IllusionBench+: A Large-scale and Comprehensive Benchmark for Visual Illusion Understanding in Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- LLM+AL: Bridging Large Language Models and Action Languages for Complex Reasoning about ActionsLLM reasoning → Reasoning benchmarks and evaluation
- LLM-Powered Multi-Agent System for Automated Crypto Portfolio ManagementLLM agents and tool use → Financial trading and forecasting agents
- Reasoning-Oriented and Analogy-Based Methods for Locating and Editing in Zero-Shot Event-Relational ReasoningLLM reasoning → Prompting and chain-of-thought reasoning
- VoiceRestore: Flow-Matching Transformers for Speech Recording Quality RestorationDiffusion models → Audio, speech and music
- LENS-XAI: Redefining Lightweight and Explainable Network Security through Knowledge Distillation and Variational Autoencoders for Scalable Intrusion Detection in CybersecurityKnowledge distillation → Detection and dense prediction distillation
- Decoding the Flow: CauseMotion for Emotional Causality Analysis in Long-form ConversationsLLM reasoning → Audio-language model reasoning
- HCMA-UNet: A Hybrid CNN-Mamba UNet with Axial Self-Attention for Efficient Breast Cancer SegmentationState-space sequence models (S4, Mamba) → Mamba for medical image analysis
- Beyond Text: Implementing Multimodal Large Language Model-Powered Multi-Agent Systems Using a No-Code PlatformMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
- DIVE: Diversified Iterative Self-ImprovementSynthetic data and self-improvement for LLMs → Self-rewarding alignment and self-training
- Rethinking Addressing in Language Models via Contexualized Equivariant Positional EncodingLLM reasoning → Test-time compute and efficient thinking
- Advancing Trustworthy AI for Sustainable Development: Recommendations for Standardising AI Incident Reporting
- Enhancing Supply Chain Resilience with Metaverse and ChatGPT Technologies
- VERITAS: Verifying the Performance of AI-native Transceiver Actions in Base-Stations
- Boosting the Accuracy of Stock Market Prediction via Multi-Layer Hybrid MTL Structure
- Breaking Through the Spike: Spike Window Decoding for Accelerated and Precise Automatic Speech Recognition
- AI-ANNE: (A) (N)eural (N)et for (E)xploration: Transferring Deep Learning Models onto Microcontrollers and Embedded Systems
- SurfPatch: Enabling Patch Matching for Exploratory Stream Surface Visualization
- HMM-LSTM Fusion Model for Economic Forecasting
- Communication Efficient Cooperative Edge AI via Event-Triggered Computation Offloading
- Multi-Center Study on Deep Learning-Assisted Detection and Classification of Fetal Central Nervous System Anomalies Using Ultrasound Imaging
- Probing Equivariance and Symmetry Breaking in Convolutional Networks
- Unraveling Indirect In-Context Learning Using Influence Functions
- Augmented Contrastive Clustering with Uncertainty-Aware Prototyping for Time Series Test Time Adaptation
- Balance-aware Sequence Sampling Makes Multi-modal Learning Better
- CoordFlow: Coordinate Flow for Pixel-wise Neural Video Representation
- Optimal Sampling for Generalized Linear Model under Measurement Constraint with Surrogate Variables
- On the Implementation of a Bayesian Optimization Framework for Interconnected Systems
- OASIS Uncovers: High-Quality T2I Models, Same Old Stereotypes
- Uncovering Memorization Effect in the Presence of Spurious Correlations
- Enhancing Early Diabetic Retinopathy Detection through Synthetic DR1 Image Generation: A StyleGAN3 Approach
- Prior Lessons of Incremental Dialogue and Robot Action Management for the Age of Language Models
- Efficient Unsupervised Shortcut Learning Detection and Mitigation in Transformers
- Multiscaled Multi-Head Attention-based Video Transformer Network for Hand Gesture Recognition
- Tight Constraint Prediction of Six-Degree-of-Freedom Transformer-based Powered Descent Guidance
- On the Low-Complexity of Fair Learning for Combinatorial Multi-Armed Bandit
- Aligning Netlist to Source Code using SynAlign
- Geometry matters: insights from Ollivier Ricci Curvature and Ricci Flow into representational alignment through Ollivier-Ricci Curvature and Ricci Flow
- AutoPresent: Designing Structured Visuals from Scratch
- U-GIFT: Uncertainty-Guided Firewall for Toxic Speech in Few-Shot Scenario
- Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model
- Demystifying Online Clustering of Bandits: Enhanced Exploration Under Stochastic and Smoothed Adversarial Contexts
- Spatial Temporal Attention based Target Vehicle Trajectory Prediction for Internet of Vehicles
- Evaluating Time Series Foundation Models on Noisy Periodic Time Series
- Unfolding the Headline: Iterative Self-Questioning for News Retrieval and Timeline Summarization
- Representation in large language models
- FullTransNet: Full Transformer with Local-Global Attention for Video Summarization
- Improving Autoregressive Visual Generation with Cluster-Oriented Token Prediction
- FGAseg: Fine-Grained Pixel-Text Alignment for Open-Vocabulary Semantic Segmentation
- A Novel Approach using CapsNet and Deep Belief Network for Detection and Identification of Oral Leukopenia
- LUSIFER: Language Universal Space Integration for Enhanced Multilingual Embeddings with Large Language Models
- Large Language Models Are Read/Write Policy-Makers for Simultaneous Generation
- Negative to Positive Co-learning with Aggressive Modality Dropout
- DiffETM: Diffusion Process Enhanced Embedded Topic Model
- What is a Social Media Bot? A Global Comparison of Bot and Human Characteristics
- A Graphical Approach to State Variable Selection in Off-policy Learning
- Scale-wise Bidirectional Alignment Network for Referring Remote Sensing Image Segmentation
- FusionSORT: Fusion Methods for Online Multi-object Visual Tracking
- Distilled Lifelong Self-Adaptation for Configurable Systems
- Spatially-guided Temporal Aggregation for Robust Event-RGB Optical Flow Estimation
- Recognizing Artistic Style of Archaeological Image Fragments Using Deep Style Extrapolation
- An LLM-Empowered Adaptive Evolutionary Algorithm For Multi-Component Deep Learning Systems
- Embedding Style Beyond Topics: Analyzing Dispersion Effects Across Different Language Models
- Decoupling Knowledge and Reasoning in Transformers: A Modular Architecture with Generalized Cross-Attention
- SPARNet: Continual Test-Time Adaptation via Sample Partitioning Strategy and Anti-Forgetting Regularization
- Hardness of Learning Fixed Parities with Neural Networks
- MixSA: Training-free Reference-based Sketch Extraction via Mixture-of-Self-Attention
- Regression Guided Strategy to Automated Facial Beauty Optimization through Image Synthesis
- SLIDE: Integrating Speech Language Model with LLM for Spontaneous Spoken Dialogue Generation
- Automatic Text Pronunciation Correlation Generation and Application for Contextual Biasing
- Follow The Approximate Sparse Leader for No-Regret Online Sparse Linear Approximation
- Make Shuffling Great Again: A Side-Channel Resistant Fisher-Yates Algorithm for Protecting Neural Networks
- Multimodal Large Models Are Effective Action Anticipators
- Navigating Nuance: In Quest for Political Truth
- REM: A Scalable Reinforced Multi-Expert Framework for Multiplex Influence Maximization
- FitCF: A Framework for Automatic Feature Importance-guided Counterfactual Example Generation
- OpenGLT: A Comprehensive Benchmark of Graph Neural Networks for Graph-Level Tasks
- Beyond Words: AuralLLM and SignMST-C for Sign Language Production and Bidirectional Accessibility
- Residual connections provably mitigate oversmoothing in graph neural networks
- Enhancing Transformers for Generalizable First-Order Logical Entailment
- Less is More: Token Context-aware Learning for Object Tracking
- Beyond Static Datasets: A Behavior-Driven Entity-Specific Simulation to Overcome Data Scarcity and Train Effective Crypto Anti-Money Laundering Models
- FasterSTS: A Faster Spatio-Temporal Synchronous Graph Convolutional Networks for Traffic flow Forecasting
All 127
- An AI-powered Bayesian generative modeling approach for causal inference in observational studies
- Ensuring superior learning outcomes and data security for authorized learner
- Foreground-Covering Prototype Generation and Matching for SAM-Aided Few-Shot Segmentation
- Dynamics of Adversarial Attacks on Large Language Model-Based Search Engines
- Assessing the Distributional Fidelity of Synthetic Chest X-rays using the Embedded Characteristic Score
- AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs
- Experimental Demonstration of an Optical Neural PDE Solver via On-Chip PINN Training
- Towards End-to-End Neuromorphic Event-based 3D Object Reconstruction Without Physical Priors
- RORem: Training a Robust Object Remover with Human-in-the-Loop
- Learning Physically Interpretable Atmospheric Models from Data with WSINDy
- DDD: Discriminative Difficulty Distance for plant disease diagnosis
- On Importance of Layer Pruning for Smaller BERT Models and Low Resource Languages
- Enhancing Unsupervised Feature Selection via Double Sparsity Constrained Optimization
- Automatic Construction of Pattern Classifiers Capable of Continuous Incremental Learning and Unlearning Tasks Based on Compact-Sized Probabilistic Neural Network
- eRevise+RF: A Writing Evaluation System for Assessing Student Essay Revisions and Providing Formative Feedback
- CODEOFCONDUCT at Multilingual Counterspeech Generation: A Context-Aware Model for Robust Counterspeech Generation in Low-Resource Languages
- KAN KAN Buff Signed Graph Neural Networks?
- Everywhere Attack: Attacking Locally and Globally to Boost Targeted Transferability
- Kolmogorov GAM Networks are all you need!
- ResKoopNet: Learning Koopman Representations for Complex Dynamics with Spectral Residuals
- Knowledge-Guided Prompt Learning for Deepfake Facial Image Detection
- PANDA -- Paired Anti-hate Narratives Dataset from Asia: Using an LLM-as-a-Judge to Create the First Chinese Counterspeech Dataset
- Cost and Reward Infused Metric Elicitation
- Beyond Model Scale Limits: End-Edge-Cloud Federated Learning with Self-Rectified Knowledge Agglomeration
- Adjoint sharding for very long context training of state space models
- Labels Generated by Large Language Models Help Measure People's Empathy in Vitro
- IGC: Integrating a Gated Calculator into an LLM to Solve Arithmetic Tasks Reliably and Efficiently