Papers
Sun 17 Nov 2024
111 papers
- Dynamics of Resource Allocation in O-RANs: An In-depth Exploration of On-Policy and Off-Policy Deep Reinforcement Learning for Real-Time ApplicationsDeep reinforcement learning methods → RL for energy, networks and operations
- AddrLLM: Address Rewriting via Large Language Model on Nationwide Logistics DataRetrieval-augmented generation → RAG pipeline design and evaluation
- On-Board Vision-Language Models for Personalized Autonomous Vehicle Motion Control: System Design and Real-World ValidationMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection +1
- F3OCUS -- Federated Finetuning of Vision-Language Foundation Models with Optimal Client Layer Updating Strategy via Multi-objective Meta-HeuristicsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- SymDPO: Boosting In-Context Learning of Large Multimodal Models with Symbol Demonstration Direct Preference OptimizationMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
- Debiasing Watermarks for Large Language Models via Maximal CouplingLLM safety and security → Watermarking generated content and models
- Stealing Training Graphs from Graph Neural NetworksDiffusion models → Flow matching, time series and science
- AMAGO-2: Breaking the Multi-Task Barrier in Meta-Reinforcement Learning with TransformersDeep reinforcement learning methods → Deep RL algorithms and representations
- Improving User Experience in Preference-Based Optimization of Reward Functions for Assistive RobotsLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Robust Defense Against Extreme Grid Events Using Dual-Policy Reinforcement Learning AgentsDeep reinforcement learning methods → RL for energy, networks and operations
- CLMIA: Membership Inference Attacks via Unsupervised Contrastive LearningLLM safety and security → Membership inference attacks
- Oscillation Inversion: Understand the structure of Large Flow Model through the Lens of Inversion MethodDiffusion models → Image generation, text-to-image and editing
- JailbreakLens: Interpreting Jailbreak Mechanism in the Lens of Representation and CircuitLLM safety and security → Jailbreaking
- An Investigation of Offline Reinforcement Learning in Factorisable Action SpacesOffline RL and imitation learning from data → Offline RL algorithms
- D-Cube: Exploiting Hyper-Features of Diffusion Model for Robust Medical ClassificationDiffusion models → Medical imaging and segmentation
- TS-LLaVA: Constructing Visual Tokens through Thumbnail-and-Sampling for Training-Free Video Large Language ModelsMultimodal LLMs / vision-language models → Video understanding with MLLMs
- FastDraft: How to Train Your DraftEfficient LLM inference and serving → Speculative decoding
- SRA-MCTS: Self-driven Reasoning Augmentation with Monte Carlo Tree Search for Code GenerationLLM reasoning → Reasoning for agents, planning and code
- Efficient Federated Unlearning with Adaptive Differential Privacy PreservationLLM safety and security → Federated unlearning and poisoning
- FedUHB: Accelerating Federated Unlearning via Polyak Heavy Ball MethodLLM safety and security → Federated unlearning and poisoning
- Time Step Generating: A Universal Synthesized Deepfake Image DetectorDiffusion models → Image generation, text-to-image and editing
- BackdoorMBTI: A Backdoor Learning Multimodal Benchmark Tool Kit for Backdoor Defense EvaluationLLM safety and security → Backdoor and data poisoning attacks
- Modulating Reservoir Dynamics via Reinforcement Learning for Efficient Robot Skill SynthesisDeep reinforcement learning methods → Deep RL algorithms and representations
- VidComposition: Can MLLMs Analyze Compositions in Compiled Videos?Multimodal LLMs / vision-language models → Video understanding with MLLMs
- Understanding Multimodal LLMs: the Mechanistic Interpretability of Llava in Visual Question AnsweringMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning +1
- Memory-Augmented Multimodal LLMs for Surgical VQA via Self-Contained InquiryMultimodal LLMs / vision-language models → Medical vision-language models
- Constrained Diffusion with Trust SamplingDiffusion models → Diffusion foundations and sampling
- Learn from Downstream and Be Yourself in Multimodal Large Language Model Fine-TuningMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Leveraging Large Language Models for Generating Labeled Mineral Site Record Linkage Data
- Back-filling Missing Data When Predicting Domestic Electricity Consumption From Smart Meter Data
- Improving Tool Retrieval by Leveraging Large Language Models for Query Generation
- Enabling Explainable Recommendation in E-commerce with LLM-powered Product Knowledge Graph
- Image Forgery Localization via Guided Noise and Multi-Scale Feature Aggregation
- AnyECG: Foundational Models for Multitask Cardiac Analysis in Real-World Settings
- Leveraging AI and NLP for Bank Marketing: A Systematic Review and Gap Analysis
- Activation Functions for "A Feedforward Unitary Equivariant Neural Network"
- Artificial Intelligence in Cybersecurity: Building Resilient Cyber Diplomacy Frameworks
- SEFD: Semantic-Enhanced Framework for Detecting LLM-Generated Text
- ModeSeq: Taming Sparse Multimodal Motion Prediction with Sequential Mode Modeling
- AIGS: Generating Science from AI-Powered Automated Falsification
- Capturing Sparks of Abstraction for the ARC Challenge
- Countering Backdoor Attacks in Image Recognition: A Survey and Evaluation of Mitigation Strategies
- BVI-CR: A Multi-View Human Dataset for Volumetric Video Compression
- PickScan: Object discovery and reconstruction from handheld interactions
- Accelerating Quantum Emitter Characterization with Latent Neural Ordinary Differential Equations
- DeepSPV: A Deep Learning Pipeline for 3D Spleen Volume Estimation from 2D Ultrasound Images
- Freqformer: Frequency-Domain Transformer for 3-D Reconstruction and Quantification of Human Retinal Vasculature
- Mixing Neural Networks and Exponential Moving Averages for Predicting Wireless Links Behavior
- Enhanced Anime Image Generation Using USE-CMHSA-GAN
- Infinite Width Limits of Self Supervised Neural Networks
- Learning the Sherrington-Kirkpatrick Model Even at Low Temperature
- LL"aMmlein: Transparent, Compact and Competitive German-Only Language Models from Scratch
- RPN 2: On Interdependence Function Learning Towards Unifying and Advancing CNN, RNN, GNN, and Transformer
- MPLite: Multi-Aspect Pretraining for Mining Clinical Health Records
- Federated Learning for UAV-Based Spectrum Sensing: Enhancing Accuracy Through SNR-Weighted Model Aggregation
- Person Segmentation and Action Classification for Multi-Channel Hemisphere Field of View LiDAR Sensors
- A Comprehensive Survey on Visual Question Answering Datasets and Algorithms
- From Primes to Paths: Enabling Fast Multi-Relational Graph Analysis
- TabDeco: A Comprehensive Contrastive Framework for Decoupled Representations in Tabular Data
- Variational Bayesian Bow tie Neural Networks with Shrinkage
- DBF-Net: A Dual-Branch Network with Feature Fusion for Ultrasound Image Segmentation
- Retinal Vessel Segmentation via Neuron Programming
- Label Sharing Incremental Learning Framework for Independent Multi-Label Segmentation Tasks
- Different Horses for Different Courses: Comparing Bias Mitigation Algorithms in ML
- Mitigating Relative Over-Generalization in Multi-Agent Reinforcement Learning
- MolParser: End-to-end Visual Recognition of Molecule Structures in the Wild
- STOP: Spatiotemporal Orthogonal Propagation for Weight-Threshold-Leakage Synergistic Training of Deep Spiking Neural Networks
- The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection
- Electrostatic Force Regularization for Neural Structured Pruning
- Spectral Subspace Clustering for Attributed Graphs
- Machine learning-based probabilistic forecasting of solar irradiance in Chile
- Multilingual Large Language Models: A Systematic Survey
- Skeleton-Guided Spatial-Temporal Feature Learning for Video-Based Visible-Infrared Person Re-Identification
- Beyond Human-Like Processing: Large Language Models Perform Equivalently on Forward and Backward Scientific Text
- Reinforcing Competitive Multi-Agents for Playing 'So Long Sucker'
- Generating medical screening questionnaires through analysis of social media data
- Knowledge-enhanced Transformer for Multivariate Long Sequence Time-series Forecasting
- StableV2V: Stablizing Shape Consistency in Video-to-Video Editing
- EfQAT: An Efficient Framework for Quantization-Aware Training
- Wafer Map Defect Classification Using Autoencoder-Based Data Augmentation and Convolutional Neural Network
- BianCang: A Traditional Chinese Medicine Large Language Model
- VeGaS: Video Gaussian Splatting
- Training a Label-Noise-Resistant GNN with Reduced Complexity
- CCi-YOLOv8n: Enhanced Fire Detection with CARAFE and Context-Guided Modules
- EROAM: Event-based Camera Rotational Odometry and Mapping in Real-time
- TeG: Temporal-Granularity Method for Anomaly Detection with Attention in Smart City Surveillance
- Unveiling the Hidden: Online Vectorized HD Map Construction with Clip-Level Token Interaction and Propagation
- Off the Normal Path: Learning Spatial Density Models of Node Mobility
- AppSign: Multi-level Approximate Computing for Real-Time Traffic Sign Recognition in Autonomous Vehicles
- Framework for developing and evaluating ethical collaboration between expert and machine
- Towards a framework on tabular synthetic data generation: a minimalist approach: theory, use cases, and limitations
- V2X-Radar: A Multi-modal Dataset with 4D Radar for Cooperative Perception
- Map-Free Trajectory Prediction with Map Distillation and Hierarchical Encoding
- Program Evaluation with Remotely Sensed Outcomes
- SageAttention2: Efficient Attention with Thorough Outlier Smoothing and Per-thread INT4 Quantization
- STAMP: Symmetric Temporal Averaging Message Passing for Domain Adaptation in Chronologically Split Graphs
- A Topic-aware Comparable Corpus of Chinese Variations
- Dialectal Toxicity Detection: Evaluating LLM-as-a-Judge Consistency Across Language Varieties
- TSFormer: A Robust Framework for Efficient UHD Image Restoration
- Towards Accurate and Efficient Sub-8-Bit Integer Training
All 111
- Direct and Explicit 3D Generation from a Single Image
- Anomaly Detection for People with Visual Impairments Using an Egocentric 360-Degree Camera
- A Monocular SLAM-based Multi-User Positioning System with Image Occlusion in Augmented Reality
- Iterative Camera-LiDAR Extrinsic Optimization via Surrogate Diffusion
- Analyzing Pok'emon and Mario Streamers' Twitch Chat with LLM-based User Embeddings
- Compositional Phoneme Approximation for L1-Grounded L2 Pronunciation Training
- Hyperspectral Imaging-Based Grain Quality Assessment With Limited Labelled Data
- Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection
- Distributed solar generation forecasting using attention-based deep neural networks for cloud movement prediction
- Multi-Modal Self-Supervised Learning for Surgical Feedback Effectiveness Assessment
- INVARLLM: LLM-assisted Physical Invariant Extraction for Cyber-Physical Systems Anomaly Detection