Papers
Fri 29 Mar 2024
232 papers
- Constructing Multilingual Visual-Text Datasets Revealing Visual Multilingual Ability of Vision Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Facilitating Human Feedback for GenAI Prompt OptimizationLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Uncovering Bias in Large Vision-Language Models with CounterfactualsMultimodal LLMs / vision-language models → Social bias and fairness in VLMs
- FetalDiffusion: Pose-Controllable 3D Fetal MRI Synthesis with Conditional Diffusion ModelDiffusion models → Medical imaging and segmentation
- Unsolvable Problem Detection: Robust Understanding Evaluation for Large Multimodal ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Are We on the Right Way for Evaluating Large Vision-Language Models?Multimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Learn "No" to Say "Yes" Better: Improving Vision-Language Models via NegationsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Draw-and-Understand: Leveraging Visual Prompts to Enable MLLMs to Comprehend What You WantMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Relation Rectification in Diffusion ModelDiffusion models → Image generation, text-to-image and editing
- VHM: Versatile and Honest Vision Language Model for Remote Sensing Image AnalysisMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- ConvBench: A Multi-Turn Conversation Evaluation Benchmark with Hierarchical Capability for Large Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- HARMamba: Efficient and Lightweight Wearable Sensor Human Activity Recognition Based on Bidirectional MambaState-space sequence models (S4, Mamba) → Video, motion and generative Mamba models
- Unsupervised Tumor-Aware Distillation for Multi-Modal Brain Image TranslationKnowledge distillation → Distillation for medical imaging
- Biologically-Plausible Topology Improved Spiking Actor Network for Efficient Deep Reinforcement LearningDeep reinforcement learning methods → Spiking and neuromorphic RL
- CAESAR: Enhancing Federated RL in Heterogeneous MDPs through Convergence-Aware Sampling with ScreeningDeep reinforcement learning methods → RL for energy, networks and operations
- Accurate Block Quantization in LLMs with OutliersEfficient LLM inference and serving → KV cache quantization
- LeGo-Drive: Language-enhanced Goal-oriented Closed-Loop End-to-End Autonomous DrivingMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection +1
- Mol-AIR: Molecular Reinforcement Learning with Adaptive Intrinsic Rewards for Goal-directed Molecular GenerationDeep reinforcement learning methods → RL for energy, networks and operations
- Learning Enriched Features via Selective State Spaces Model for Efficient Image DeblurringState-space sequence models (S4, Mamba) → Mamba for image restoration
- FreeSeg-Diff: Training-Free Open-Vocabulary Segmentation with Diffusion ModelsDiffusion models → Medical imaging and segmentation
- ITCMA: A Generative Agent Based on a Computational Consciousness StructureLLM agents and tool use → Multimodal and embodied agents
- SGD: Street View Synthesis with Gaussian Splatting and Diffusion PriorWorld models → World models for autonomous driving +1
- Negative Label Guided OOD Detection with Pretrained Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Revolutionizing Disease Diagnosis with simultaneous functional PET/MR and Deeply Integrated Brain Metabolic, Hemodynamic, and Perfusion NetworksMixture-of-experts → Medical and biomedical MoE
- Can LLMs Learn from Previous Mistakes? Investigating LLMs' Errors to Boost for ReasoningLLM reasoning → Reasoning benchmarks and evaluation
- UltraLight VM-UNet: Parallel Vision Mamba Significantly Reduces Parameters for Skin Lesion SegmentationState-space sequence models (S4, Mamba) → Mamba for medical image analysis
- FSMR: A Feature Swapping Multi-modal Reasoning Approach with Joint Textual and Visual CluesLLM reasoning → Multimodal reasoning
- Psychometry: An Omnifit Model for Image Reconstruction from Human Brain ActivityMixture-of-experts → Medical and biomedical MoE
- Nonparametric Bellman Mappings for Reinforcement Learning: Application to Robust Adaptive FilteringDeep reinforcement learning methods → RL theory and sample complexity
- EnCoMP: Enhanced Covert Maneuver Planning with Adaptive Threat-Aware Visibility Estimation using Offline Reinforcement LearningOffline RL and imitation learning from data → Diffusion and flow policies for offline RL
- Adaptive Energy Regularization for Autonomous Gait Transition and Energy-Efficient Quadruped LocomotionDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Enhancing the General Agent Capabilities of Low-Parameter LLMs through Tuning and Multi-Branch ReasoningLLM reasoning → Reasoning for agents, planning and code +1
- Diverse Feature Learning by Self-distillation and ResetKnowledge distillation → General knowledge distillation methods
- Decision Mamba: Reinforcement Learning via Sequence Modeling with Selective State SpacesState-space sequence models (S4, Mamba) → Video, motion and generative Mamba models +2
- CtRL-Sim: Reactive and Controllable Driving Agents with Offline Reinforcement LearningEnd-to-end autonomous driving → Imitation-learning end-to-end planners +1
- Fusion Dynamical Systems with Machine Learning in Imitation Learning: A Comprehensive OverviewOffline RL and imitation learning from data → Imitation learning methods +1
- Structure Matters: Tackling the Semantic Discrepancy in Diffusion Models for Image InpaintingDiffusion models → 3D, point cloud and scene generation
- Towards a Robust Retrieval-Based Summarization SystemRetrieval-augmented generation → RAG pipeline design and evaluation
- MambaMixer: Efficient Selective State Space Models with Dual Token and Channel SelectionState-space sequence models (S4, Mamba) → Core SSM architectures for language
- A Survey of Machine Learning Techniques for Improving Global Navigation Satellite Systems
- Generative AI Adoption in Classroom in Context of Technology Acceptance Model (TAM) and the Innovation Diffusion Theory (IDT)
- LooPIN: A PinFi protocol for decentralized computing
- Label-Efficient Sleep Staging Using Transformers Pre-trained with Position Prediction
- DCAE-SR: Design of a Denoising Convolutional Autoencoder for reconstructing Electrocardiograms signals at Super Resolution
- SelfReplay: Adapting Self-Supervised Sensory Models via Adaptive Meta-Task Replay
- Real-time Lane-wise Traffic Monitoring in Optimal ROIs
- LACS: Learning-Augmented Algorithms for Carbon-Aware Resource Scaling with Uncertain Demand
- Identifying Banking Transaction Descriptions via Support Vector Machine Short-Text Classification Based on a Specialized Labelled Corpus
- Detection of financial opportunities in micro-blogging data with a stacked classification system
- Optimal navigation of magnetic artificial microswimmers in blood capillaries with deep reinforcement learning
- Explaining Large Language Models Decisions Using Shapley Values
- LLaVA-Gemma: Accelerating Multimodal Foundation Models with a Compact Language Model
- P-Hologen: An End-to-End Generative Framework for Phase-Only Holograms
- Entertainment chatbot for the digital inclusion of elderly people without abstraction capabilities
- Multiple-policy Evaluation via Density Estimation
- Optimal Blackjack Strategy Recommender: A Comprehensive Study on Computer Vision Integration for Enhanced Gameplay
- GPTA: Generative Prompt Tuning Assistant for Synergistic Downstream Neural Network Enhancement with LLMs
- DataAgent: Evaluating Large Language Models' Ability to Answer Zero-Shot, Natural Language Queries
- On Inherent Adversarial Robustness of Active Vision Systems
- Word Ladders: A Mobile Application for Semantic Data Collection
- Multi-Region Transfer Learning for Segmentation of Crop Field Boundaries in Satellite Images with Limited Labels
- Beyond Suspension: A Two-phase Methodology for Concluding Sports Leagues
- The LSCD Benchmark: a Testbed for Diachronic Word Meaning Tasks
- General Machine Learning Models for Interpreting and Predicting Efficiency Degradation in Organic Solar Cells
- Universal Bovine Identification via Depth Data and Deep Metric Learning
- Multi-Level Neural Scene Graphs for Dynamic Urban Environments
- Individual Text Corpora Predict Openness, Interests, Knowledge and Level of Education
- CT respiratory motion synthesis using joint supervised and adversarial learning
- Modeling Large-Scale Walking and Cycling Networks: A Machine Learning Approach Using Mobile Phone and Crowdsourced Data
- Fully Zeroth-Order Bilevel Programming via Gaussian Smoothing
- On-the-fly Definition Augmentation of LLMs for Biomedical NER
- VSRD: Instance-Aware Volumetric Silhouette Rendering for Weakly Supervised 3D Object Detection
- Fast Orthogonal Matching Pursuit through Successive Regression
- Verifying the Selected Completely at Random Assumption in Positive-Unlabeled Learning
- An Interpretable Cross-Attentive Multi-modal MRI Fusion Framework for Schizophrenia Diagnosis
- Accelerating Search-Based Planning for Multi-Robot Manipulation by Leveraging Online-Generated Experiences
- Classifying Conspiratorial Narratives At Scale: False Alarms and Erroneous Connections
- Does Faithfulness Conflict with Plausibility? An Empirical Study in Explainable AI across NLP Tasks
- Security Risks Concerns of Generative AI in the IoT
- Budget-aware Query Tuning: An AutoML Perspective
- FISBe: A real-world benchmark dataset for instance segmentation of long-range thin filamentous structures
- Where Are You From? Let Me Guess! Subdialect Recognition of Speeches in Sorani Kurdish
- AgileFormer: Spatially Agile Transformer UNet for Medical Image Segmentation
- Deepfake Sentry: Harnessing Ensemble Intelligence for Resilient Detection and Generalisation
- Robust Ensemble Person Re-Identification via Orthogonal Fusion with Occlusion Handling
- PikeLPN: Mitigating Overlooked Inefficiencies of Low-Precision Neural Networks
- Efficient and Sharp Off-Policy Evaluation in Robust Markov Decision Processes
- Sparse Views, Near Light: A Practical Paradigm for Uncalibrated Point-light Photometric Stereo
- GDA: Generalized Diffusion for Robust Test-time Adaptation
- DVIS-DAQ: Improving Video Segmentation via Dynamic Anchor Queries
- Bayesian Nonparametrics: An Alternative to Deep Learning
- Data-Driven Room Acoustic Modeling Via Differentiable Feedback Delay Networks With Learnable Delay Lines
- Molecular Generative Adversarial Network with Multi-Property Optimization
- A Backdoor Approach with Inverted Labels Using Dirty Label-Flipping Attacks
- ReALM: Reference Resolution As Language Modeling
- Learning Visual Quadrupedal Loco-Manipulation from Demonstrations
- Gecko: Versatile Text Embeddings Distilled from Large Language Models
- Localising the Seizure Onset Zone from Single-Pulse Electrical Stimulation Responses with a CNN Transformer
- Towards a Framework for Evaluating Explanations in Automated Fact Verification
- MTLoRA: A Low-Rank Adaptation Approach for Efficient Multi-Task Learning
All 232
- SeaBird: Segmentation in Bird's View with Dice Loss Improves Monocular 3D Detection of Large Objects
- Convolutional Prompting meets Language Models for Continual Learning
- InstantSplat: Sparse-view Gaussian Splatting in Seconds
- ChainNet: Structured Metaphor and Metonymy in WordNet
- Towards Greener LLMs: Bringing Energy-Efficiency to the Forefront of LLM Inference
- Improving Learnt Local MAPF Policies with Heuristic Search
- Review-Based Hyperbolic Cross-Domain Recommendation
- Emotion-Anchored Contrastive Learning Framework for Emotion Recognition in Conversation
- Can LLMs Correct Physicians, Yet? Investigating Effective Interaction Methods in the Medical Domain
- Benchmarking Counterfactual Image Generation
- LayerNorm: A key component in parameter-efficient fine-tuning
- Sparsely Multimodal Data Fusion
- LUQ: Long-text Uncertainty Quantification for LLMs
- Snap-it, Tap-it, Splat-it: Tactile-Informed 3D Gaussian Splatting for Reconstructing Challenging Surfaces
- CATSNet: a context-aware network for Height Estimation in a Forested Area based on Pol-TomoSAR data
- Latxa: An Open Language Model and Evaluation Suite for Basque
- ELITR-Bench: A Meeting Assistant Benchmark for Long-Context Language Models
- FABind+: Enhancing Molecular Docking through Improved Pocket Prediction and Pose Generation
- Prototype-based Interpretable Breast Cancer Prediction Models: Analysis and Challenges
- Benchmarking the Robustness of Temporal Action Detection Models Against Temporal Corruptions
- MedCLIP-SAM: Bridging Text and Image Towards Universal Medical Image Segmentation
- Using LLMs to Model the Beliefs and Preferences of Targeted Populations
- Latent Embedding Clustering for Occlusion Robust Head Pose Estimation
- Optimal Policy Learning with Observational Data in Multi-Action Scenarios: Estimation, Risk Preference, and Potential Failures
- Enhancing Dimension-Reduced Scatter Plots with Class and Feature Centroids
- Long-Tailed Anomaly Detection with Learnable Class Names
- Artificial Neural Networks-based Real-time Classification of ENG Signals for Implanted Nerve Interfaces
- Functional Bilevel Optimization for Machine Learning
- U-VAP: User-specified Visual Appearance Personalization via Decoupled Self Augmentation
- An FPGA-Based Reconfigurable Accelerator for Convolution-Transformer Hybrid EfficientViT
- MTMMC: A Large-Scale Real-World Multi-Modal Camera Tracking Benchmark
- Shallow Cross-Encoders for Low-Latency Retrieval
- Graph Neural Aggregation-diffusion with Metastability
- Distributed agency in second language learning and teaching through generative AI
- Advancing the Arabic WordNet: Elevating Content Quality
- On Size and Hardness Generalization in Unsupervised Learning for the Travelling Salesman Problem
- Unlock the Potential of Large Language Models for Predictive Tabular Tasks in Data Science with Table-Specific Pretraining
- The Future of Combating Rumors? Retrieval, Discrimination, and Generation
- Voice Signal Processing for Machine Learning. The Case of Speaker Isolation
- High-dimensional analysis of ridge regression for non-identically distributed data with a variance profile
- NeuraLunaDTNet: Feedforward Neural Network-Based Routing Protocol for Delay-Tolerant Lunar Communication Networks
- Dual Simplex Volume Maximization for Simplex-Structured Matrix Factorization
- Automatic Alignment of Discourse Relations of Different Discourse Annotation Frameworks
- Enhancing Lithological Mapping with Spatially Constrained Bayesian Network (SCB-Net): An Approach for Field Data-Constrained Predictions with Uncertainty Evaluation
- Motion Inversion for Video Customization
- Homomorphic WiSARDs: Efficient Weightless Neural Network training over encrypted data
- Distributed Swarm Learning for Edge Internet of Things
- Sketch-to-Architecture: Generative AI-aided Architectural Design
- Exploring Pathological Speech Quality Assessment with ASR-Powered Wav2Vec2 in Data-Scarce Context
- Measuring Taiwanese Mandarin Language Understanding
- Preliminaries to artificial consciousness: a multidimensional heuristic approach
- MCNet: A crowd denstity estimation network based on integrating multiscale attention module
- HGS-Mapping: Online Dense Mapping Using Hybrid Gaussian Representation in Urban Scenes
- ChatGPT v.s. Media Bias: A Comparative Study of GPT-3.5 and Fine-tuned Language Models
- A Systematic Analysis of Subwords and Cross-Lingual Transfer in Multilingual Translation
- Talk3D: High-Fidelity Talking Portrait Synthesis via Personalized 3D Generative Prior
- A Learning-based Incentive Mechanism for Mobile AIGC Service in Decentralized Internet of Vehicles
- TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods
- Conformal Prediction for Stochastic Decision-Making of PV Power in Electricity Markets
- IndiBias: A Benchmark Dataset to Measure Social Biases in Language Models for Indian Context
- Leveraging language models for summarizing mental state examinations: A comprehensive evaluation and dataset release
- StegoGAN: Leveraging Steganography for Non-Bijective Image-to-Image Translation
- Designing Poisson Integrators Through Machine Learning
- User Modeling Challenges in Interactive AI Assistant Systems
- Sound event localization and classification using WASN in Outdoor Environment
- The Impact of Prompts on Zero-Shot Detection of AI-Generated Text
- ECLIPSE: Efficient Continual Learning in Panoptic Segmentation with Visual Prompt Tuning
- Application of Machine Learning Algorithms in Classifying Postoperative Success in Metabolic Bariatric Surgery: A Comprehensive Study
- Learning using granularity statistical invariants for classification
- Segmentation, Classification and Interpretation of Breast Cancer Medical Images using Human-in-the-Loop Machine Learning
- NLP for Counterspeech against Hate: A Survey and How-To Guide
- RealKIE: Five Novel Datasets for Enterprise Key Information Extraction
- Modeling Weather Uncertainty for Multi-weather Co-Presence Estimation
- Implications of the AI Act for Non-Discrimination Law and Algorithmic Fairness
- An Efficient Approach for Studying Cross-Lingual Transfer in Multilingual Language Models
- Selective Attention-based Modulation for Continual Learning
- IPA Transcription of Bengali Texts
- Mixed-precision Supernet Training from Vision Foundation Models using Low Rank Adapter
- Adaptive Decentralized Federated Learning in Energy and Latency Constrained Wireless Networks
- Cross-Lingual Transfer Robustness to Lower-Resource Languages on Adversarial Datasets
- Embracing Unknown Step by Step: Towards Reliable Sparse Training in Real World
- Transformer-Lite: High-efficiency Deployment of Large Language Models on Mobile Phone GPUs
- NeSLAM: Neural Implicit Mapping and Self-Supervised Feature Tracking With Depth Completion and Denoising
- A novel decision fusion approach for sale price prediction using Elastic Net and MOPSO
- HO-Gaussian: Hybrid Optimization of 3D Gaussian Splatting for Urban Scenes
- A Unified Framework for Human-centric Point Cloud Video Understanding
- SCINeRF: Neural Radiance Fields from a Snapshot Compressive Image
- Adverb Is the Key: Simple Text Data Augmentation with Adverb Deletion
- PURPLE: Making a Large Language Model a Better SQL Writer
- DerainNeRF: 3D Scene Estimation with Adhesive Waterdrop Removal
- Colorful Cutout: Enhancing Image Data Augmentation with Curriculum Learning
- On Large Language Models' Hallucination with Regard to Known Facts
- Large Language Model based Situational Dialogues for Second Language Learning
- Grounding and Enhancing Grid-based Models for Neural Fields
- DeepHeteroIoT: Deep Local and Global Learning over Heterogeneous IoT Sensor Data
- Development of Compositionality and Generalization through Interactive Learning of Language and Action of Robots
- MindArm: Mechanized Intelligent Non-Invasive Neuro-Driven Prosthetic Arm System
- Stable Surface Regularization for Fast Few-Shot NeRF
- A multi-stage semi-supervised learning for ankle fracture classification on CT images
- A Parallel Attention Network for Cattle Face Recognition
- Continual Adapter Tuning with Semantic Shift Compensation for Class-Incremental Learning
- eTraM: Event-based Traffic Monitoring Dataset
- Context-Aware Integration of Language and Visual References for Natural Language Tracking
- Separate, Dynamic and Differentiable (SMART) Pruner for Block/Output Channel Pruning on Computer Vision Tasks
- Rewrite the Stars
- Multi-task Magnetic Resonance Imaging Reconstruction using Meta-learning
- FairRAG: Fair Human Generation via Fair Retrieval Augmentation
- Efficient Modulation for Vision Networks
- Coverage-Guaranteed Prediction Sets for Out-of-Distribution Data
- FairCLIP: Harnessing Fairness in Vision-Language Learning
- A Peg-in-hole Task Strategy for Holes in Concrete
- Binarized Low-light Raw Video Enhancement
- TDANet: A Novel Temporal Denoise Convolutional Neural Network With Attention for Fault Diagnosis
- SLFNet: Generating Semantic Logic Forms from Natural Language Using Semantic Probability Graphs
- CP HDR: A feature point detection and description library for LDR and HDR images
- Are LLMs Effective Backbones for Fine-tuning? An Experimental Investigation of Supervised LLMs on Chinese Short Text Matching
- DiJiang: Efficient Large Language Models through Compact Kernelization
- Video-Based Human Pose Regression via Decoupled Space-Time Aggregation
- SceneTracker: Long-term Scene Flow Estimation Network
- MI-NeRF: Learning a Single Face NeRF from Multiple Identities
- Diff-Reg v1: Diffusion Matching Model for Registration Problem
- Using Images as Covariates: Measuring Curb Appeal with Deep Learning
- MANGO: A Benchmark for Evaluating Mapping and Navigation Abilities of Large Language Models
- Automated Identification and Segmentation of Hi Sources in CRAFTS Using Deep Learning Method
- Beyond the Known: Novel Class Discovery for Open-world Graph Learning
- Classification of Diabetic Retinopathy using Pre-Trained Deep Learning Models
- Fully Geometric Panoramic Localization
- Heterogeneous Network Based Contrastive Learning Method for PolSAR Land Cover Classification
- Disentangling Racial Phenotypes: Fine-Grained Control of Race-related Facial Phenotype Characteristics
- Nonlinearity Enhanced Adaptive Activation Functions
- An Information-Theoretic Framework for Out-of-Distribution Generalization with Applications to Stochastic Gradient Langevin Dynamics
- PLoc: A New Evaluation Criterion Based on Physical Location for Autonomous Driving Datasets