Papers
Sat 28 Dec 2024
133 papers
- LLM-Virus: Evolutionary Jailbreak Attack on Large Language ModelsLLM safety and security → Jailbreaking
- AdvAnchor: Enhancing Diffusion Model Unlearning with Adversarial AnchorsDiffusion models → Robustness, privacy and adversarial aspects +1
- Efficient and Scalable Deep Reinforcement Learning for Mean Field Control GamesDeep reinforcement learning methods → RL for games and combinatorial optimization
- No Preference Left Behind: Group Distributional Preference OptimizationLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- FaGeL: Fabric LLMs Agent empowered Embodied Intelligence Evolution with Autonomous Human-Machine CollaborationLLM reasoning → Spatial and embodied reasoning +1
- An analytic theory of creativity in convolutional diffusion modelsDiffusion models → Image generation, text-to-image and editing
- Leveraging Large Language Models for Enhancing Autonomous Vehicle PerceptionEnd-to-end autonomous driving → Large language models for driving
- LLM Reasoning Engine: Specialized Training for Enhanced Mathematical ReasoningLLM reasoning → Mathematical reasoning
- IMSSA: Deploying modern state-space models on memristive in-memory compute hardwareState-space sequence models (S4, Mamba) → Core SSM architectures for language
- Federated Unlearning with Gradient Descent and Conflict MitigationLLM safety and security → Federated unlearning and poisoning
- Imitation Learning from Suboptimal Demonstrations via Meta-Learning An Action RankerOffline RL and imitation learning from data → Imitation learning methods
- PIMphony: Overcoming Bandwidth and Capacity Inefficiency in PIM-based Long-Context LLM Inference SystemEfficient LLM inference and serving → Serving systems and request scheduling
- UniRestorer: Universal Image Restoration via Adaptively Estimating Image Degradation at Proper GranularityMixture-of-experts → Vision mixture-of-experts
- Efficient Multi-Agent Collaboration with Tool Use for Online Planning in Complex Table Question AnsweringLLM agents and tool use → Web, search, and research agents
- TradingAgents: Multi-Agents LLM Financial Trading FrameworkLLM agents and tool use → Financial trading and forecasting agents
- M-MAD: Multidimensional Multi-Agent Debate for Advanced Machine Translation EvaluationLLM agents and tool use → General LLM agent frameworks and benchmarks
- ST3: Accelerating Multimodal Large Language Model by Spatial-Temporal Visual Token TrimmingMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- STNMamba: Mamba-based Spatial-Temporal Normality Learning for Video Anomaly DetectionState-space sequence models (S4, Mamba) → Time series forecasting with SSMs
- MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training SmoothingState-space sequence models (S4, Mamba) → Vision Mamba backbones
- Exploring Compositional Generalization of Multimodal LLMs for Medical ImagingMultimodal LLMs / vision-language models → Medical vision-language models
- MaIR: A Locality- and Continuity-Preserving Mamba for Image RestorationState-space sequence models (S4, Mamba) → Mamba for image restoration
- MADiff: Text-Guided Fashion Image Editing with Mask Prediction and Attention-Enhanced DiffusionDiffusion models → Image generation, text-to-image and editing
- Reinforcement Learning Driven Multi-Robot Exploration via Explicit Communication and Density-Based Frontier SearchDeep reinforcement learning methods → RL for robot navigation and UAV control
- Enhancing Diffusion Models for Inverse Problems with Covariance-Aware Posterior SamplingDiffusion models → Inverse problems and image restoration
- BaiJia: A Large-Scale Role-Playing Agent Corpus of Chinese Historical CharactersLLM agents and tool use → Social simulation and multi-agent debate
- OneKE: A Dockerized Schema-Guided LLM Agent-based Knowledge Extraction SystemLLM agents and tool use → Web, search, and research agents
- FashionFAE: Fine-grained Attributes Enhanced Fashion Vision-Language Pre-trainingMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- MAKIMA: Tuning-free Multi-Attribute Open-domain Video Editing via Mask-Guided Attention ModulationDiffusion models → Video generation
- Leveraging Large Language Models For Optimized Item Categorization using UNSPSC Taxonomy
- A survey on pioneering metaheuristic algorithms between 2019 and 2024
- Equation discovery framework EPDE: Towards a better equation discovery
- Leveraging Social Media Data and Artificial Intelligence for Improving Earthquake Response Efforts
- Artificial Intelligence for Sustainable Urban Biodiversity: A Framework for Monitoring and Conservation
- Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory
- Leveraging Edge Intelligence and LLMs to Advance 6G-Enabled Internet of Automated Defense Vehicles
- Hawkes based Representation Learning for Reasoning over Scale-free Community-structured Temporal Knowledge Graphs
- INFELM: In-depth Fairness Evaluation of Large Text-To-Image Models
- Large Language Models for Mathematical Analysis
- VisTabNet: Adapting Vision Transformers for Tabular Data
- Transforming CCTV cameras into NO2 sensors at city scale for adaptive policymaking
- Implementing Trust in Non-Small Cell Lung Cancer Diagnosis with a Conformalized Uncertainty-Aware AI Framework in Whole-Slide Images
- DDD-GenDT: Dynamic Data-driven Generative Digital Twin Framework
- Learning in Multiple Spaces: Few-Shot Network Attack Detection with Metric-Fused Prototypical Networks
- An Experimental Study on Fairness-aware Machine Learning for Credit Scoring Problems
- Predicting Customer Lifetime Value Using Recurrent Neural Net
- Transformer-Based Contrastive Meta-Learning For Low-Resource Generalizable Activity Recognition
- Causal Discovery on Dependent Binary Data
- Deep Generalized Schr"odinger Bridges: From Image Generation to Solving Mean-Field Games
- Few-shot Algorithm Assurance
- High-fidelity social learning via shared episodic memories enhances collaborative foraging through mnemonic convergence
- TeLU Activation Function for Fast and Stable Deep Learning
- Scoring with Large Language Models: A Study on Measuring Empathy of Responses in Dialogues
- Towards Ideal Temporal Graph Neural Networks: Evaluations and Conclusions after 10,000 GPU Hours
- An Anomaly Detection System Based on Generative Classifiers for Controller Area Network
- Election of Collaborators via Reinforcement Learning for Federated Brain Tumor Segmentation
- ComparisonQA: Evaluating Factuality Robustness of LLMs Through Knowledge Frequency Control and Uncertainty
- Recommender Engine Driven Client Selection in Federated Brain Tumor Segmentation
- Enhancing Transfer Learning for Medical Image Classification with SMOTE: A Comparative Study
- Plastic Waste Classification Using Deep Learning: Insights from the WaDaBa Dataset
- How To Think About End-To-End Encryption and AI: Training, Processing, Disclosure, and Consent
- Machine and Deep Learning for Credit Scoring: A compliant approach
- AfriHG: News headline generation for African Languages
- YAD: Leveraging T5 for Improved Automatic Diacritization of Yor`ub'a Text
- Decoding Emotion: Speech Perception Patterns in Individuals with Self-reported Depression
- Building a Rich Dataset to Empower the Persian Question Answering Systems
- Generative Regression Based Watch Time Prediction for Short-Video Recommendation
- Towards Real-Time 2D Mapping: Harnessing Drones, AI, and Computer Vision for Advanced Insights
- Toward Visual Grounding: A Survey
- No-regret learning in harmonic games: Extrapolation in the face of conflicting interests
- Injecting Explainability and Lightweight Design into Weakly Supervised Video Anomaly Detection Systems
- Lower bounds on transformers with infinite precision
- Physics consistent machine learning framework for inverse modeling with applications to ICF capsule implosions
- Accurate Coresets for Latent Variable Models and Regularized Regression
- DecDEC: A Systems Approach to Advancing Low-Bit LLM Quantization
- Mining Platoon Patterns from Traffic Videos
- Debiased Nonparametric Regression for Statistical Inference and Distributionally Robustness
- On dataset transferability in medical image classification
- Geo-ConvGRU: Geographically Masked Convolutional Gated Recurrent Unit for Bird-Eye View Segmentation
- Real-time Calibration Model for Low-cost Sensor in Fine-grained Time series
- Conformal Risk Control for Pulmonary Nodule Detection
- StyleAutoEncoder for manipulating image attributes using pre-trained StyleGAN
- Topic-Aware Knowledge Graph with Large Language Models for Interoperability in Recommender Systems
- Multi-Modality Driven LoRA for Adverse Condition Depth Estimation
- Distilled Transformers with Locally Enhanced Global Representations for Face Forgery Detection
- Stable-TTS: Stable Speaker-Adaptive Text-to-Speech Synthesis via Prosody Prompting
- DEGSTalk: Decomposed Per-Embedding Gaussian Fields for Hair-Preserving Talking Face Synthesis
- Gradient Descent Methods for Regularized Optimization
- Cross-Modal Mapping: Mitigating the Modality Gap for Few-Shot Image Classification
- SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis
- RFPPO: Motion Dynamic RRT based Fluid Field - PPO for Dynamic TF/TA Routing Planning
- From Worms to Mice: Homeostasis Maybe All You Need
- An archaeological Catalog Collection Method Based on Large Vision-Language Models
- On the Validity of Traditional Vulnerability Scoring Systems for Adversarial Attacks against LLMs
- MAFT: Efficient Model-Agnostic Fairness Testing for Deep Neural Networks via Zero-Order Gradient Search
- Enhancing Marine Debris Acoustic Monitoring by Optical Flow-Based Motion Vector Analysis
- Extract Information from Hybrid Long Documents Leveraging LLMs: A Framework and Dataset
- The Emotional Spectrum of LLMs: Leveraging Empathy and Emotion-Based Markers for Mental Health Support
- VELoRA: A Low-Rank Adaptation Approach for Efficient RGB-Event based Recognition
- Comparative Analysis of Listwise Reranking with Large Language Models in Limited-Resource Language Contexts
- Self-Calibrated Dual Contrasting for Annotation-Efficient Bacteria Raman Spectroscopy Clustering and Classification
All 133
- AI-based Wearable Vision Assistance System for the Visually Impaired: Integrating Real-Time Object Recognition and Contextual Understanding Using Large Vision-Language Models
- "My life is miserable, have to sign 500 autographs everyday": Exposing Humblebragging, the Brags in Disguise
- GSplatLoc: Ultra-Precise Camera Localization via 3D Gaussian Splatting
- CrossSpeech++: Cross-lingual Speech Synthesis with Decoupled Language and Speaker Generation
- SimLTD: Simple Supervised and Semi-Supervised Long-Tailed Object Detection
- STAYKATE: Hybrid In-Context Example Selection Combining Representativeness Sampling and Retrieval-based Approach -- A Case Study on Science Domains
- DAVE: Diverse Atomic Visual Elements Dataset with High Representation of Vulnerable Road Users in Complex and Unpredictable Environments
- A Greedy Strategy for Graph Cut
- Maintain Plasticity in Long-timescale Continual Test-time Adaptation
- Children's Acquisition of Tail-recursion Sequences: A Review of Locative Recursion and Possessive Recursion as Examples
- Causal Interpretability for Adversarial Robustness: A Hybrid Generative Classification Approach
- Global Search of Optimal Spacecraft Trajectories using Amortization and Deep Generative Models
- Calibre: Towards Fair and Accurate Personalized Federated Learning with Self-Supervised Learning
- A Nearly Optimal Single Loop Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness
- ProtCLIP: Function-Informed Protein Multi-Modal Learning
- Uncertainty Quantified Deep Learning and Regression Analysis Framework for Image Segmentation of Skin Cancer Lesions
- Adversarial Robustness for Deep Learning-based Wildfire Prediction Models
- Adaptive Parameter-Efficient Federated Fine-Tuning on Heterogeneous Devices
- Learning an Adaptive and View-Invariant Vision Transformer for Real-Time UAV Tracking
- Comprehensive Review of EEG-to-Output Research: Decoding Neural Signals into Images, Videos, and Audio
- From Generalist to Specialist: A Survey of Large Language Models for Chemistry
- Discrete Curvature Graph Information Bottleneck
- An Ordinary Differential Equation Sampler with Stochastic Start for Diffusion Bridge Models
- A Robust Federated Learning Framework for Undependable Devices at Scale
- SegKAN: High-Resolution Medical Image Segmentation with Long-Distance Dependencies
- Caesar: A Low-deviation Compression Approach for Efficient Federated Learning
- Delayed Random Partial Gradient Averaging for Federated Learning
- The Fifth International Verification of Neural Networks Competition (VNN-COMP 2024): Summary and Results
- Explainable Semantic Federated Learning Enabled Industrial Edge Network for Fire Surveillance
- Will you donate money to a chatbot? The effect of chatbot anthropomorphic features and persuasion strategies on willingness to donate
- MobileNetV2: A lightweight classification model for home-based sleep apnea screening
- Bridging Context Gaps: Enhancing Comprehension in Long-Form Social Conversations Through Contextualized Excerpts
- DepthMamba with Adaptive Fusion