Papers
Wed 24 Apr 2024
229 papers
- MatFusion: A Generative Diffusion Model for SVBRDF CaptureDiffusion models → 3D, point cloud and scene generation
- Fusion of Domain-Adapted Vision and Language Models for Medical Visual Question AnsweringMultimodal LLMs / vision-language models → Medical vision-language models
- AFU: Actor-Free critic Updates in off-policy RL for continuous controlDeep reinforcement learning methods → RL theory and sample complexity
- Logic Learning from Demonstrations for Multi-step Manipulation Tasks in Dynamic EnvironmentsOffline RL and imitation learning from data → Robot learning from demonstration
- From Local to Global: A Graph RAG Approach to Query-Focused SummarizationRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- FairDeDup: Detecting and Mitigating Vision-Language Fairness Disparities in Semantic Dataset DeduplicationMultimodal LLMs / vision-language models → Social bias and fairness in VLMs
- Mamba-360: Survey of State Space Models as Transformer Alternative for Long Sequence Modelling: Methods, Applications, and ChallengesState-space sequence models (S4, Mamba) → Core SSM architectures for language
- Learning World Models With Hierarchical Temporal Abstractions: A Probabilistic PerspectiveWorld models → World models for language agents +1
- CompilerDream: Learning a Compiler World Model for General Code OptimizationWorld models → World models for language agents
- Cantor: Inspiring Multimodal Chain-of-Thought of MLLMLLM reasoning → Multimodal reasoning
- Studying Large Language Model Behaviors Under Context-Memory Conflicts With Real DocumentsRetrieval-augmented generation → RAG robustness and adaptive retrieval
- Editable Image Elements for Controllable SynthesisDiffusion models → Image generation, text-to-image and editing
- Investigating Adversarial Trigger Transfer in Large Language ModelsLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- The PRISM Alignment Dataset: What Participatory, Representative and Individualised Human Feedback Reveals About the Subjective and Multicultural Alignment of Large Language ModelsLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- Improving Dictionary Learning with Gated Sparse AutoencodersMechanistic interpretability → SAE features and their applications
- MMT-Bench: A Comprehensive Multimodal Benchmark for Evaluating Large Vision-Language Models Towards Multitask AGIMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- A Human-Computer Collaborative Tool for Training a Single Large Language Model Agent into a Network through Few ExamplesLLM agents and tool use → General LLM agent frameworks and benchmarks
- A Survey on Visual MambaState-space sequence models (S4, Mamba) → Vision Mamba backbones
- CORM: Cache Optimization with Recent Message for Large Language Model InferenceEfficient LLM inference and serving → KV cache optimization
- Telco-RAG: Navigating the Challenges of Retrieval-Augmented Language Models for TelecommunicationsRetrieval-augmented generation → RAG pipeline design and evaluation
- ST-MambaSync: The Complement of Mamba and Transformers for Spatial-Temporal in Traffic Flow PredictionState-space sequence models (S4, Mamba) → Video, motion and generative Mamba models
- Recursive Backwards Q-Learning in Deterministic EnvironmentsDeep reinforcement learning methods → RL theory and sample complexity
- MotionMaster: Training-free Camera Motion Transfer For Video GenerationDiffusion models → Video generation
- Seeing Beyond Classes: Zero-Shot Grounded Situation Recognition via Language ExplainerMultimodal LLMs / vision-language models → Video understanding with MLLMs
- BASS: Batched Attention-optimized Speculative SamplingEfficient LLM inference and serving → Speculative decoding
- Bi-Mamba+: Bidirectional Mamba for Time Series ForecastingState-space sequence models (S4, Mamba) → Time series forecasting with SSMs
- Unifying Bayesian Flow Networks and Diffusion Models through Stochastic Differential EquationsDiffusion models → Diffusion foundations and sampling
- Debiasing Machine Unlearning with Counterfactual ExamplesLLM safety and security → Machine unlearning
- Let's Think Dot by Dot: Hidden Computation in Transformer Language ModelsLLM reasoning → Prompting and chain-of-thought reasoning
- AnoFPDM: Anomaly Segmentation with Forward Process of Diffusion Models for Brain MRIDiffusion models → Medical imaging and segmentation
- CharacterFactory: Sampling Consistent Characters with GANs for Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- Beyond Chain-of-Thought: A Survey of Chain-of-X Paradigms for LLMsLLM reasoning → Prompting and chain-of-thought reasoning
- CodeIP: A Grammar-Guided Multi-Bit Watermark for Large Language Models of CodeLLM safety and security → Watermarking generated content and models
- Optimizing OOD Detection in Molecular Graphs: A Novel Approach with Diffusion ModelsDiffusion models → Flow matching, time series and science
- A Dynamic Kernel Prior Model for Unsupervised Blind Image Super-ResolutionDiffusion models → Inverse problems and image restoration
- A Differential and Pointwise Control Approach to Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
- ImplicitAVE: An Open-Source Dataset and Multimodal LLMs Benchmark for Implicit Attribute Value ExtractionMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Using Artificial Intelligence to Unlock Crowdfunding Success for Small Businesses
- Leveraging AI for Climate Resilience in Africa: Challenges, Opportunities, and the Need for Collaboration
- Sign Language Recognition based on YOLOv5 Algorithm for the Telugu Sign Language
- Gated Low-rank Adaptation for personalized Code-Switching Automatic Speech Recognition on the low-spec devices
- BERT vs GPT for financial engineering
- Integrating LSTM and BERT for Long-Sequence Data Analysis in Intelligent Tutoring Systems
- Lessons from the Use of Natural Language Inference (NLI) in Requirements Engineering Tasks
- Homonym Sense Disambiguation in the Georgian Language
- A Hybrid Probabilistic Battery Health Management Approach for Robust Inspection Drone Operations
- Autonomous LLM-driven research from data to human-verifiable research papers
- Automatic AI controller that can drive with confidence: steering vehicle with uncertainty knowledge
- Attacks on Third-Party APIs of Large Language Models
- Layer Collapse Can be Induced by Unstructured Pruning
- Anomaly Detection for Incident Response at Scale
- Review of Data-centric Time Series Analysis from Sample, Feature, and Period
- Enhancing Privacy in Face Analytics Using Fully Homomorphic Encryption
- Prompt Leakage effect and defense strategies for multi-turn LLM interactions
- Semgrex and Ssurgeon, Searching and Manipulating Dependency Graphs
- URL: Universal Referential Knowledge Linking via Task-instructed Representation Compression
- AutoGluon-Multimodal (AutoMM): Supercharging Multimodal AutoML with Foundation Models
- Computational analysis of the language of pain: a systematic review
- Deep RAW Image Super-Resolution. A NTIRE 2024 Challenge Survey
- Step Differences in Instructional Video
- NeRF-XL: Scaling NeRFs with Multiple GPUs
- Efficient NAS with FaDE on Hierarchical Spaces
- ActiveRIR: Active Audio-Visual Exploration for Acoustic Environment Modeling
- An Analysis of Recent Advances in Deepfake Image Detection in an Evolving Threat Landscape
- GPU-RANC: A CUDA Accelerated Simulation Framework for Neuromorphic Architectures
- Knowledge Graph Completion using Structural and Textual Embeddings
- AIS 2024 Challenge on Video Quality Assessment of User-Generated Content: Methods and Results
- Towards Efficient Patient Recruitment for Clinical Trials: Application of a Prompt-Based Learning Model
- ApisTox: a new benchmark dataset for the classification of small molecules toxicity on honey bees
- Improving Multi-label Recognition using Class Co-Occurrence Probabilities
- Pearls from Pebbles: Improved Confidence Functions for Auto-labeling
- ABCD: Trust enhanced Attention based Convolutional Autoencoder for Risk Assessment
- Blind Federated Learning without initial model
- S2DEVFMAP: Self-Supervised Learning Framework with Dual Ensemble Voting Fusion for Maximizing Anomaly Prediction in Timeseries
- Advancing Recommender Systems by mitigating Shilling attacks
- MiMICRI: Towards Domain-centered Counterfactual Explanations of Cardiovascular Image Classification Models
- The Over-Certainty Phenomenon in Modern Test-Time Adaptation Algorithms
- Towards a Holistic Evaluation of LLMs on Factual Knowledge Recall
- Scaling Lifelong Multi-Agent Path Finding to More Realistic Settings: Research Challenges and Opportunities
- Domain-Specific Improvement on Psychotherapy Chatbot Using Assistant
- The Feasibility of Implementing Large-Scale Transformers on Multi-FPGA Platforms
- Guardians of the Quantum GAN
- Does SAM dream of EIG? Characterizing Interactive Segmenter Performance using Expected Information Gain
- A Comparative Analysis of Adversarial Robustness for Quantum and Classical Machine Learning Models
- Machine-Learned Closure of URANS for Stably Stratified Turbulence: Connecting Physical Timescales & Data Hyperparameters of Deep Time-Series Models
- A Survey on Intermediate Fusion Methods for Collaborative Perception Categorized by Real World Challenges
- Learned Pulse Shaping Design for PAPR Reduction in DFT-s-OFDM
- 3D Human Pose Estimation with Occlusions: Introducing BlendMimic3D Dataset and GCN Refinement
- Power Failure Cascade Prediction using Graph Neural Networks
- Quantitative Characterization of Retinal Features in Translated OCTA
- Combinatorial Approximations for Cluster Deletion: Simpler, Faster, and Better
- Comparison of static and dynamic random forests models for EHR data in the presence of competing risks: predicting central line-associated bloodstream infection
- Classifying Human-Generated and AI-Generated Election Claims in Social Media
- Online Personalizing White-box LLMs Generation with Neural Bandits
- zkLLM: Zero Knowledge Proofs for Large Language Models
- Evolution of Voices in French Audiovisual Media Across Genders and Age in a Diachronic Perspective
- Enhancing Diagnosis through AI-driven Analysis of Reflectance Confocal Microscopy
- Semantic Evolvement Enhanced Graph Autoencoder for Rumor Detection
- MaGGIe: Masked Guided Gradual Human Instance Matting
- MoDE: CLIP Data Experts via Clustering
All 229
- Learning Car-Following Behaviors Using Bayesian Matrix Normal Mixture Regression
- PuLID: Pure and Lightning ID Customization via Contrastive Alignment
- RetinaRegNet: A Zero-Shot Approach for Retinal Image Registration
- Neural Operators Learn the Local Physics of Magnetohydrodynamics
- GaussianTalker: Real-Time High-Fidelity Talking Head Synthesis with Audio-Driven 3D Gaussian Splatting
- Unimodal and Multimodal Sensor Fusion for Wearable Activity Recognition
- A comprehensive and easy-to-use multi-domain multi-task medical imaging meta-dataset
- BeSound: Bluetooth-Based Position Estimation Enhancing with Cross-Modality Distillation
- Uncertainty Estimation and Quantification for LLMs: A Simple Supervised Approach
- GAN-HA: A generative adversarial network with a novel heterogeneous dual-discriminator network and a new attention-based fusion strategy for infrared and visible image fusion
- On the Fourier analysis in the SO(3) space : EquiLoPO Network
- Interpretable Clustering with the Distinguishability Criterion
- Soil analysis with machine-learning-based processing of stepped-frequency GPR field measurements: Preliminary study
- Explainable AI models for predicting liquefaction-induced lateral spreading
- Beyond Deepfake Images: Detecting AI-Generated Videos
- Mixed Supervised Graph Contrastive Learning for Recommendation
- Mammo-CLIP: Leveraging Contrastive Language-Image Pre-training (CLIP) for Enhanced Breast Cancer Diagnosis with Multi-view Mammography
- Decentralized Personalized Federated Learning based on a Conditional Sparse-to-Sparser Scheme
- Generalization Measures for Zero-Shot Cross-Lingual Transfer
- Inside the echo chamber: Linguistic underpinnings of misinformation on Twitter
- KGValidator: A Framework for Automatic Validation of Knowledge Graph Construction
- An Element-Wise Weights Aggregation Method for Federated Learning
- Perception and Localization of Macular Degeneration Applying Convolutional Neural Network, ResNet and Grad-CAM
- Learning Long-form Video Prior via Generative Pre-Training
- Drawing the Line: Deep Segmentation for Extracting Art from Ancient Etruscan Mirrors
- Assessing The Potential Of Mid-Sized Language Models For Clinical QA
- OMEGAS: Object Mesh Extraction from Large Scenes Guided by Gaussian Segmentation
- Sketch2Human: Deep Human Generation with Disentangled Geometry and Appearance Control
- Unexplored Faces of Robustness and Out-of-Distribution: Covariate Shifts in Environment and Sensor Domains
- Steal Now and Attack Later: Evaluating Robustness of Object Detection against Black-box Adversarial Attacks
- Machine Learning for Pre/Post Flight UAV Rotor Defect Detection Using Vibration Analysis
- Revisiting Out-of-Distribution Detection in LiDAR-based 3D Object Detection
- Effective Unsupervised Constrained Text Generation based on Perturbed Masking
- Semantic Routing for Enhanced Performance of LLM-Assisted Intent-Based 5G Core Network Management and Orchestration
- CLAD: Robust Audio Deepfake Detection Against Manipulation Attacks with Contrastive Learning
- QOPTLib: a Quantum Computing Oriented Benchmark for Combinatorial Optimization Problems
- Porting Large Language Models to Mobile Devices for Question Answering
- Detecting Conceptual Abstraction in LLMs
- 3D Freehand Ultrasound using Visual Inertial and Deep Inertial Odometry for Measuring Patellar Tracking
- From Complex to Simple: Enhancing Multi-Constraint Complex Instruction Following Ability of Large Language Models
- Exploring LLM Prompting Strategies for Joint Essay Scoring and Feedback Generation
- Constructive Interpolation and Concept-Based Beth Definability for Description Logics via Sequents
- Employing Two-Dimensional Word Embedding for Difficult Tabular Data Stream Classification
- OpTC -- A Toolchain for Deployment of Neural Networks on AURIX TC3xx Microcontrollers
- Accelerating Cavity Fault Prediction Using Deep Learning at Jefferson Laboratory
- A Configurable and Efficient Memory Hierarchy for Neural Network Hardware Accelerator
- SynthEval: A Framework for Detailed Utility and Privacy Evaluation of Tabular Synthetic Data
- Vision Transformer-based Adversarial Domain Adaptation
- Single-View Scene Point Cloud Human Grasp Generation
- Fast Ensembling with Diffusion Schr"odinger Bridge
- Facilitating Advanced Sentinel-2 Analysis Through a Simplified Computation of Nadir BRDF Adjusted Reflectance
- One Subgraph for All: Efficient Reasoning on Opening Subgraphs for Inductive Knowledge Graph Completion
- Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders
- Beyond ESM2: Graph-Enhanced Protein Sequence Modeling with Efficient Clustering
- GeckOpt: LLM System Efficiency via Intent-Based Tool Selection
- Raformer: Redundancy-Aware Transformer for Video Wire Inpainting
- Large Language Models as In-context AI Generators for Quality-Diversity
- Leveraging Large Language Models for Multimodal Search
- Rethinking model prototyping through the MedMNIST+ dataset collection
- An Empirical Study of Aegis
- Real-Time Compressed Sensing for Joint Hyperspectral Image Transmission and Restoration for CubeSat
- A Comprehensive Survey on Evaluating Large Language Model Applications in the Medical Industry
- Toward Physics-Aware Deep Learning Architectures for LiDAR Intensity Simulation
- DVF: Advancing Robust and Accurate Fine-Grained Image Retrieval with Retrieval Guidelines
- ChEX: Interactive Localization and Region Description in Chest X-rays
- 3D Face Morphing Attack Generation using Non-Rigid Registration
- Exploring Machine Learning Algorithms for Infection Detection Using GC-IMS Data: A Preliminary Study
- Guided-SPSA: Simultaneous Perturbation Stochastic Approximation assisted by the Parameter Shift Rule
- Collaborative Heterogeneous Causal Inference Beyond Meta-analysis
- A General Black-box Adversarial Attack on Graph-based Fake News Detectors
- SRAGAN: Saliency Regularized and Attended Generative Adversarial Network for Chinese Ink-wash Painting Style Transfer
- Generalizing the SINDy approach with nested neural networks
- No Train but Gain: Language Arithmetic for training-free Language Adapters enhancement
- What Makes Multimodal In-Context Learning Work?
- ODMixer: Fine-grained Spatial-temporal MLP for Metro Origin-Destination Prediction
- MD-NOMAD: Mixture density nonlinear manifold decoder for emulating stochastic differential equations and uncertainty propagation
- Gradformer: Graph Transformer with Exponential Decay
- SPARO: Selective Attention for Robust and Compositional Transformer Encodings for Vision
- Annotator-Centric Active Learning for Subjective NLP Tasks
- HDBN: A Novel Hybrid Dual-branch Network for Robust Skeleton-based Action Recognition
- Mitigating False Predictions In Unreasonable Body Regions
- Ada-DF: An Adaptive Label Distribution Fusion Network For Facial Expression Recognition
- ViViDex: Learning Vision-based Dexterous Manipulation from Human Videos
- ESR-NeRF: Emissive Source Reconstruction Using LDR Multi-view Images
- Efficient Multi-Model Fusion with Adversarial Complementary Representation Learning
- Nyonic Technical Report
- MAS-SAM: Segment Any Marine Animal with Aggregated Features
- DeepFeatureX Net: Deep Features eXtractors based Network for discriminating synthetic from real images
- Deep Learning for Accelerated and Robust MRI Reconstruction: a Review
- Long-term Off-Policy Evaluation and Learning
- Neural Proto-Language Reconstruction
- Graph Neural Networks for Vulnerability Detection: A Counterfactual Explanation
- Automated Creation of Source Code Variants of a Cryptographic Hash Function Implementation Using Generative Pre-Trained Transformer Models
- Retrieval and Distill: A Temporal Data Shift-Free Paradigm for Online Recommendation System
- Augmented CARDS: A machine learning approach to identifying triggers of climate change misinformation on Twitter
- Representing Part-Whole Hierarchies in Foundation Models by Learning Localizability, Composability, and Decomposability from Anatomy via Self-Supervision
- The Promise and Challenges of Using LLMs to Accelerate the Screening Process of Systematic Reviews
- CWF: Consolidating Weak Features in High-quality Mesh Simplification
- KS-LLM: Knowledge Selection of Large Language Models with Evidence Document for Question Answering
- FedSI: Federated Subnetwork Inference for Efficient Uncertainty Quantification
- MISLEAD: Manipulating Importance of Selected features for Learning Epsilon in Evasion Attack Deception
- Multi-Modal Proxy Learning Towards Personalized Visual Multiple Clustering
- CatLIP: CLIP-level Visual Recognition Accuracy with 2.7x Faster Pre-training on Web-scale Image-Text Data
- Return of EM: Entity-driven Answer Set Expansion for QA Evaluation
- Cross-Embodied Affordance Transfer through Learning Affordance Equivalences
- Building-PCC: Building Point Cloud Completion Benchmarks
- PriorNet: A Novel Lightweight Network with Multidimensional Interactive Attention for Efficient Image Dehazing
- A Real-time Evaluation Framework for Pedestrian's Potential Risk at Non-Signalized Intersections Based on Predicted Post-Encroachment Time
- Artificial Intelligence for Multi-Unit Auction design
- FR-NAS: Forward-and-Reverse Graph Predictor for Efficient Neural Architecture Search
- Layer Ensemble Averaging for Improving Memristor-Based Artificial Neural Network Performance
- Neural Operator induced Gaussian Process framework for probabilistic solution of parametric partial differential equations
- A Bi-directional Multi-solution Scalable Grover Search Algorithm
- M3D: Manifold-based Domain Adaptation with Dynamic Distribution for Non-Deep Transfer Learning in Cross-subject and Cross-session EEG-based Emotion Recognition
- Understanding and Improving CNNs with Complex Structure Tensor: A Biometrics Study
- Hybrid LLM/Rule-based Approaches to Business Insights Generation from Structured Data
- Deepfakes and Higher Education: A Research Agenda and Scoping Review of Synthetic Media
- Human-in-the-loop Learning for Dynamic Congestion Games
- Federated Learning with Only Positive Labels by Exploring Label Correlations
- GRSN: Gated Recurrent Spiking Neurons for POMDPs and MARL
- Variational Deep Survival Machines: Survival Regression with Censored Outcomes
- A Survey of Deep Long-Tail Classification Advancements
- Domain Adaptation for Learned Image Compression with Supervised Adapters
- Minimal Evidence Group Identification for Claim Verification
- Brain Storm Optimization Based Swarm Learning for Diabetic Retinopathy Image Classification
- Multi-Agent Reinforcement Learning for Energy Networks: Computational Challenges, Progress and Open Problems
- MiM: Mask in Mask Self-Supervised Pre-Training for 3D Medical Image Analysis
- Can Foundational Large Language Models Assist with Conducting Pharmaceuticals Manufacturing Investigations?
- Retrieval Head Mechanistically Explains Long-Context Factuality