Papers
Thu 18 Jul 2024
317 papers
- An Agile Adaptation Method for Multi-mode Vehicle Communication NetworksDeep reinforcement learning methods → RL for energy, networks and operations
- Autonomous Navigation of Unmanned Vehicle Through Deep Reinforcement LearningDeep reinforcement learning methods → RL for robot navigation and UAV control
- MMAU: A Holistic Benchmark of Agent Capabilities Across Diverse DomainsLLM agents and tool use → General LLM agent frameworks and benchmarks
- A reinforcement learning strategy to automate and accelerate h/p-multigrid solversDeep reinforcement learning methods → RL with diffusion and flow models
- Thought-Like-Pro: Enhancing Reasoning of Large Language Models through Self-Driven Prolog-based Chain-of-ThoughtLLM reasoning → Prompting and chain-of-thought reasoning +1
- ViLLa: Video Reasoning Segmentation with Large Language ModelLLM reasoning → Multimodal reasoning
- Event-Triggered Reinforcement Learning Based Joint Resource Allocation for Ultra-Reliable Low-Latency V2X CommunicationsDeep reinforcement learning methods → RL for energy, networks and operations
- BiasDPO: Mitigating Bias in Language Models through Direct Preference OptimizationLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- Continual Distillation Learning for Rehearsal-Free Class-Incremental Learning via Decoupled PromptingKnowledge distillation → Distillation for continual learning
- Learning Goal-Conditioned Representations for Language Reward ModelsLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Simultaneous Localization and Affordance Prediction of Tasks from Egocentric VideoMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- X-Former: Unifying Contrastive and Reconstruction Learning for MLLMsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Phi-3 Safety Post-Training: Aligning Language Models with a "Break-Fix" CycleLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- Which objects help me to act effectively? Reasoning about physically-grounded affordancesLLM reasoning → Spatial and embodied reasoning
- GroupMamba: Efficient Group-Based Visual State Space ModelState-space sequence models (S4, Mamba) → Vision Mamba backbones
- Visual Haystacks: A Vision-Centric Needle-In-A-Haystack BenchmarkMultimodal LLMs / vision-language models → Document understanding and multimodal RAG +1
- Streetscapes: Large-scale Consistent Street View Generation Using Autoregressive Video DiffusionWorld models → World models for autonomous driving +1
- Black-Box Opinion Manipulation Attacks to Retrieval-Augmented Generation of Large Language ModelsRetrieval-augmented generation → Privacy and security of RAG
- Random Latent Exploration for Deep Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
- LogoSticker: Inserting Logos into Diffusion Models for Customized GenerationDiffusion models → Image generation, text-to-image and editing
- LLMs as Function Approximators: Terminology, Taxonomy, and Questions for EvaluationLLM safety and security → Safety alignment, refusal and guardrails
- Optimistic Q-learning for average reward and episodic reinforcement learningDeep reinforcement learning methods → RL theory and sample complexity
- Understanding Reinforcement Learning-Based Fine-Tuning of Diffusion Models: A Tutorial and ReviewDiffusion models → Diffusion and flow policies for robotics +1
- Understanding Reference Policies in Direct Preference OptimizationLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Weak-to-Strong ReasoningLLM reasoning → Test-time compute and efficient thinking
- Open-Vocabulary 3D Semantic Segmentation with Text-to-Image Diffusion ModelsDiffusion models → Medical imaging and segmentation
- Training-free Composite Scene Generation for Layout-to-Image SynthesisDiffusion models → Image generation, text-to-image and editing
- EarthMarker: A Visual Prompting Multi-modal Large Language Model for Remote SensingMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Validating Mechanistic Interpretations: An Axiomatic ApproachMechanistic interpretability → Circuits and mechanistic analysis
- How Reliable are LLMs as Knowledge Bases? Re-thinking Facutality and ConsistencyLLM reasoning → Reasoning benchmarks and evaluation
- EnergyDiff: Universal Time-Series Energy Data Generation using Diffusion ModelsDiffusion models → Flow matching, time series and science
- Model-based Policy Optimization using Symbolic World ModelWorld models → Latent dynamics models and model-based RL +1
- Instance Selection for Dynamic Algorithm Configuration with Reinforcement Learning: Improving GeneralizationDeep reinforcement learning methods → Deep RL algorithms and representations
- Robots Can Multitask Too: Integrating a Memory Architecture and LLMs for Enhanced Cross-Task Robot Action GenerationLLM reasoning → Spatial and embodied reasoning
- Combining Constraint Programming Reasoning with Large Language Model PredictionsLLM reasoning → Test-time compute and efficient thinking
- LIMT: Language-Informed Multi-Task Visual World ModelsWorld models → Embodied and robot world models +1
- BEAF: Observing BEfore-AFter Changes to Evaluate Hallucination in Vision-language ModelsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- Correcting the Mythos of KL-Regularization: Direct Alignment without Overoptimization via Chi-Squared Preference OptimizationLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Open-World Visual Reasoning by a Neuro-Symbolic Program of Zero-Shot SymbolsLLM reasoning → Spatial and embodied reasoning
- Affordance Perception by a Knowledge-Guided Vision-Language Model with Efficient Error CorrectionMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Geometric Active Exploration in Markov Decision Processes: the Benefit of AbstractionDeep reinforcement learning methods → RL theory and sample complexity
- Open Vocabulary 3D Scene Understanding via Geometry Guided Self-DistillationKnowledge distillation → Detection and dense prediction distillation
- Deep Reinforcement Learning for Multi-Objective Optimization: Enhancing Wind Turbine Energy Generation while Mitigating Noise EmissionsDeep reinforcement learning methods → RL for energy, networks and operations
- Analyzing and Bridging the Gap between Maximizing Total Reward and Discounted Reward in Deep Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
- Mixture of Experts based Multi-task Supervise Learning from CrowdsMixture-of-experts → MoE theory and gating functions
- Make a Strong Teacher with Label Assistance: A Novel Knowledge Distillation Approach for Semantic SegmentationKnowledge distillation → Detection and dense prediction distillation
- Unveiling Structural Memorization: Structural Membership Inference Attack for Text-to-Image Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects +1
- Multimodal Label Relevance Ranking via Reinforcement LearningDeep reinforcement learning methods → RL training of language and agent models
- MEDIC: Zero-shot Music Editing with Disentangled Inversion ControlDiffusion models → Audio, speech and music
- Retrieval-Augmented Generation for Natural Language Processing: A SurveyRetrieval-augmented generation → RAG pipeline design and evaluation
- Data-Driven Estimation of Conditional Expectations, Application to Optimal Stopping and Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
- Safe-SD: Safe and Traceable Stable Diffusion with Text Prompt Trigger for Invisible Generative WatermarkingDiffusion models → Robustness, privacy and adversarial aspects +1
- SpaDiT: Diffusion Transformer for Spatial Gene Expression Prediction using scRNA-seqDiffusion models → Medical imaging and segmentation
- Training-Free Large Model Priors for Multiple-in-One Image RestorationDiffusion models → Inverse problems and image restoration
- ROLeR: Effective Reward Shaping in Offline Reinforcement Learning for Recommender SystemsLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF +1
- DFMSD: Dual Feature Masking Stage-wise Knowledge Distillation for Object DetectionKnowledge distillation → Detection and dense prediction distillation
- PG-Rainbow: Using Distributional Reinforcement Learning in Policy Gradient MethodsDeep reinforcement learning methods → RL theory and sample complexity
- FocusDiffuser: Perceiving Local Disparities for Camouflaged Object DetectionDiffusion models → Image generation, text-to-image and editing
- Reconfigurable Intelligent Surface Aided Vehicular Edge Computing: Joint Phase-shift Optimization and Multi-User Power AllocationDeep reinforcement learning methods → RL for energy, networks and operations
- Multiobjective Vehicle Routing Optimization with Time Windows: A Hybrid Approach Using Deep Reinforcement Learning and NSGA-IIDeep reinforcement learning methods → RL for games and combinatorial optimization
- Retrieve, Summarize, Plan: Advancing Multi-hop Question Answering with an Iterative ApproachRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- Rethinking Video-Text Understanding: Retrieval from Counterfactually Augmented DataLLM reasoning → Multimodal reasoning
- On Causally Disentangled State Representation Learning for Reinforcement Learning based Recommender SystemsDeep reinforcement learning methods → RL training of language and agent models
- Krait: A Backdoor Attack Against Graph Prompt TuningLLM safety and security → Backdoor and data poisoning attacks
- Case-based reasoning approach for diagnostic screening of children with developmental delays
- Evaluating and Enhancing Trustworthiness of LLMs in Perception Tasks
- VLG-CBM: Training Concept Bottleneck Models with Vision-Language Guidance
- Building an Ethical and Trustworthy Biomedical AI Ecosystem for the Translational and Clinical Integration of Foundational Models
- SUSTechGAN: Image Generation for Object Detection in Adverse Conditions of Autonomous Driving
- Transferable Adversarial Facial Images for Privacy Protection
- CCSRP: Robust Pruning of Spiking Neural Networks through Cooperative Coevolution
- From 2015 to 2023: How Machine Learning Aids Natural Product Analysis
- Framework for Curating Speech Datasets and Evaluating ASR Systems: A Case Study for Polish
- Handling Numeric Expressions in Automatic Speech Recognition
- An Application of Large Language Models to Coding Negotiation Transcripts
- From A-to-Z Review of Clustering Validation Indices
- Configural processing as an optimized strategy for robust object recognition in neural networks
- Generative AI Augmented Induction-based Formal Verification
- High-Dimensional Confidence Regions in Sparse MRI
- Semantic Prototypes: Enhancing Transparency Without Black Boxes
- CIC: Circular Image Compression
- Long Input Sequence Network for Long Time Series Forecasting
- A Survey on Differential Privacy for SpatioTemporal Data in Transportation Research
- APS-USCT: Ultrasound Computed Tomography on Sparse Data via AI-Physic Synergy
- Learning Visual Grounding from Generative Vision and Language Model
- NNsight and NDIF: Democratizing Access to Open-Weight Foundation Model Internals
- Automated and Holistic Co-design of Neural Networks and ASICs for Enabling In-Pixel Intelligence
- Predicting Star Scientists in the Field of Artificial Intelligence: A Machine Learning Approach
- A Foundation Model for Soccer
- Mechanical Self-replication
- BRSR-OpGAN: Blind Radar Signal Restoration using Operational Generative Adversarial Network
- Assurance of AI Systems From a Dependability Perspective
- FANTAstic SEquences and Where to Find Them: Faithful and Efficient API Call Generation through State-tracked Constrained Decoding and Reranking
- Werewolf Arena: A Case Study in LLM Evaluation via Social Deduction
- Boosting Online 3D Multi-Object Tracking through Camera-Radar Cross Check
- Unsupervised Video Highlight Detection by Learning from Audio and Visual Recurrence
- RT-Pose: A 4D Radar Tensor-based 3D Human Pose Estimation and Localization Benchmark
- Unmasking Social Bots: How Confident Are We?
- Report on the Conference on Ethical and Responsible Design in the National AI Institutes: A Summary of Challenges
- EggNet: An Evolving Graph-based Graph Attention Network for Particle Track Reconstruction
All 317
- CounterFace: A Synthetic Face Dataset for Fine-Grained Counterfactual Evaluation of Face Recognition Systems
- DuoFormer: Leveraging Hierarchical Visual Representations by Local and Global Attention
- LinSATNet: The Positive Linear Satisfiability Neural Networks
- Crafting Efficient Fine-Tuning Strategies for Large Language Models
- Data-Algorithm-Architecture Co-Optimization for Fair Neural Networks on Skin Lesion Dataset
- High Risk of Political Bias in Black Box Emotion Inference Models
- Attention in SRAM on Tenstorrent Grayskull
- Privacy-preserving gradient-based fair federated learning
- Optimal high-precision shadow estimation
- Keypoint Aware Masked Image Modelling
- A Closer Look at GAN Priors: Exploiting Intermediate Features for Enhanced Model Inversion Attacks
- Enhancing Worldwide Image Geolocation by Ensembling Satellite-Based Ground-Level Attribute Predictors
- Quantum Natural Stochastic Pairwise Coordinate Descent
- Forecasting GPU Performance for Deep Learning Training and Inference
- CoxSE: Exploring the Potential of Self-Explaining Neural Networks with Cox Proportional Hazards Model for Survival Analysis
- Language-Driven 6-DoF Grasp Detection Using Negative Prompt Guidance
- Many Perception Tasks are Highly Redundant Functions of their Input Data
- Temperature Distribution Prediction in Laser Powder Bed Fusion using Transferable and Scalable Graph Neural Networks
- Non-native Quantum Generative Optimization with Adversarial Autoencoders
- A review of handcrafted and deep radiomics in neurological diseases: transitioning from oncology to clinical neuroimaging
- CoAPT: Context Attribute words for Prompt Tuning
- Revisiting Attention for Multivariate Time Series Forecasting
- Training-Free Model Merging for Multi-target Domain Adaptation
- Addressing Imbalance for Class Incremental Learning in Medical Image Classification
- Latent Causal Probing: A Formal Perspective on Probing with Causal Models of Data
- Shape of Motion: 4D Reconstruction from a Single Video
- SegPoint: Segment Any Point Cloud via Large Language Model
- Neural Network Tire Force Modeling for Automated Drifting
- Exploring Facial Biomarkers for Detecting Depression through Temporal Analysis of Action Units
- Temporal Representation Learning for Stock Similarities and Its Applications in Investment Management
- PO-GUISE+: Pose and object guided transformer token selection for efficient driver action recognition
- General Geometry-aware Weakly Supervised 3D Object Detection
- Multi-Label Learning with Stronger Consistency Guarantees
- MaRINeR: Enhancing Novel Views by Matching Rendered Images with Nearby References
- CellularLint: A Systematic Approach to Identify Inconsistent Behavior in Cellular Network Specifications
- Scaling Granite Code Models to 128K Context
- Realizable H-Consistent and Bayes-Consistent Loss Functions for Learning to Defer
- Predictive Low Rank Matrix Learning under Partial Observations: Mixed-Projection ADMM
- Baba Is AI: Break the Rules to Beat the Benchmark
- Compressing Structured Tensor Algebra
- Enhanced H-Consistency Bounds
- HazeCLIP: Towards Language Guided Real-World Image Dehazing
- CoDefeater: Using LLMs To Find Defeaters in Assurance Cases
- Attention Based Simple Primitives for Open World Compositional Zero-Shot Learning
- FSP-Laplace: Function-Space Priors for the Laplace Approximation in Bayesian Deep Learning
- Are We Ready for Out-of-Distribution Detection in Digital Pathology?
- Discovering governing equation in structural dynamics from acceleration-only measurements
- ANHALTEN: Cross-Lingual Transfer for German Token-Level Reference-Free Hallucination Detection
- Cross-Task Attack: A Self-Supervision Generative Framework Based on Attention Shift
- A Comprehensive Review of Recommender Systems: Transitioning from Theory to Practice
- Do These LLM Benchmarks Agree? Fixing Benchmark Evaluation with BenchBench
- Prover-Verifier Games improve legibility of LLM outputs
- Shaded Route Planning Using Active Segmentation and Identification of Satellite Images
- Dynamic Pricing in Securities Lending Market: Application in Revenue Optimization for an Agent Lender Portfolio
- HPix: Generating Vector Maps from Satellite Images
- PASTA: Controllable Part-Aware Shape Generation with Autoregressive Transformers
- Aligning Sight and Sound: Advanced Sound Source Localization Through Audio-Visual Alignment
- MeshSegmenter: Zero-Shot Mesh Semantic Segmentation via Texture Synthesis
- Non-Asymptotic Uncertainty Quantification in High-Dimensional Learning
- Decision Focused Causal Learning for Direct Counterfactual Marketing Optimization
- CogniVoice: Multimodal and Multilingual Fusion Networks for Mild Cognitive Impairment Assessment from Spontaneous Speech
- FuLG: 150B Romanian Corpus for Language Model Pretraining
- Beyond Dropout: Robust Convolutional Neural Networks Based on Local Feature Masking
- Beyond Augmentation: Empowering Model Robustness under Extreme Capture Environments
- A Comparative Study on Automatic Coding of Medical Letters with Explainability
- Data Alchemy: Mitigating Cross-Site Model Variability Through Test Time Data Calibration
- Distributionally and Adversarially Robust Logistic Regression via Intersecting Wasserstein Balls
- Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies
- Misspecified Q-Learning with Sparse Linear Function Approximation: Tight Bounds on Approximation Error
- Differential Privacy Mechanisms in Neural Tangent Kernel Regression
- dzNLP at NADI 2024 Shared Task: Multi-Classifier Ensemble with Weighted Voting and TF-IDF Features
- Physics-guided Active Sample Reweighting for Urban Flow Prediction
- dzStance at StanceEval2024: Arabic Stance Detection based on Sentence Transformers
- PLANTS: A Novel Problem and Dataset for Summarization of Planning-Like (PL) Tasks
- MeshFeat: Multi-Resolution Features for Neural Fields on Meshes
- Robust Calibration of Large Vision-Language Adapters
- Connecting Consistency Distillation to Score Distillation for Text-to-3D Generation
- Towards Zero-Shot Multimodal Machine Translation
- With or Without Replacement? Improving Confidence in Fourier Imaging
- New Capability to Look Up an ASL Sign from a Video Example
- Hyp2Nav: Hyperbolic Planning and Curiosity for Crowd Navigation
- dzFinNlp at AraFinNLP: Improving Intent Detection in Financial Conversational Agents
- Research on Tibetan Tourism Viewpoints information generation system based on LLM
- Qalam : A Multimodal LLM for Arabic Optical Character and Handwriting Recognition
- PetFace: A Large-Scale Dataset and Benchmark for Animal Identification
- SAM-Driven Weakly Supervised Nodule Segmentation with Uncertainty-Aware Cross Teaching
- DiffuX2CT: Diffusion Learning to Reconstruct CT Images from Biplanar X-Rays
- On the Discriminability of Self-Supervised Representation Learning
- GlobalPointer: Large-Scale Plane Adjustment with Bi-Convex Relaxation
- Visuospatial navigation from the bottom-up: without vestibular integration, distance prediction, or maps
- Evaluating the performance-deviation of itemKNN in RecBole and LensKit
- Discussion: Effective and Interpretable Outcome Prediction by Training Sparse Mixtures of Linear Experts
- Enhancing Source-Free Domain Adaptive Object Detection with Low-confidence Pseudo Label Distillation
- INDIC QA BENCHMARK: A Multilingual Benchmark to Evaluate Question Answering capability of LLMs for Indic Languages
- EaDeblur-GS: Event assisted 3D Deblur Reconstruction with Gaussian Splatting
- GPSFormer: A Global Perception and Local Structure Fitting-based Transformer for Point Cloud Understanding
- Mask2Map: Vectorized HD Map Construction Using Bird's Eye View Segmentation Masks
- Can Open-Source LLMs Compete with Commercial Models? Exploring the Few-Shot Performance of Current GPT Models in Biomedical Tasks
- Spontaneous Style Text-to-Speech Synthesis with Controllable Spontaneous Behaviors Based on Language Models
- FADE: A Task-Agnostic Upsampling Operator for Encoder-Decoder Architectures
- Training Foundation Models as Data Compression: On Information, Model Weights and Copyright Law
- Enhancing Biomedical Knowledge Discovery for Diseases: An Open-Source Framework Applied on Rett Syndrome and Alzheimer's Disease
- Similarity over Factuality: Are we making progress on multimodal out-of-context misinformation detection?
- SCAPE: A Simple and Strong Category-Agnostic Pose Estimator
- Attention Overflow: Language Model Input Blur during Long-Context Missing Items Recommendation
- Risk-Aware Vehicle Trajectory Prediction Under Safety-Critical Scenarios
- Fixed and Adaptive Simultaneous Machine Translation Strategies Using Adapters
- End-To-End Clinical Trial Matching with Large Language Models
- SA-DVAE: Improving Zero-Shot Skeleton-Based Action Recognition by Disentangled Variational Autoencoders
- All Roads Lead to Rome? Exploring Representational Similarities Between Latent Spaces of Generative Image Models
- Reducing Barriers to the Use of Marginalised Music Genres in AI
- FREST: Feature RESToration for Semantic Segmentation under Multiple Adverse Conditions
- Enhancing Out-of-Vocabulary Performance of Indian TTS Systems for Practical Applications through Low-Effort Data Strategies
- The Art of Imitation: Learning Long-Horizon Manipulation Tasks from Few Demonstrations
- Improving Out-of-Distribution Generalization of Trajectory Prediction for Autonomous Driving via Polynomial Representations
- Towards Dynamic Feature Acquisition on Medical Time Series by Maximizing Conditional Mutual Information
- DeepClair: Utilizing Market Forecasts for Effective Portfolio Selection
- WiNet: Wavelet-based Incremental Learning for Efficient Medical Image Registration
- CycleMix: Mixing Source Domains for Domain Generalization in Style-Dependent Data
- Exploring End-to-end Differentiable Neural Charged Particle Tracking -- A Loss Landscape Perspective
- From Words to Worlds: Compositionality for Cognitive Architectures
- GDDS: A Single Domain Generalized Defect Detection Frame of Open World Scenario using Gather and Distribute Domain-shift Suppression Network
- DISCOVER: A Data-driven Interactive System for Comprehensive Observation, Visualization, and ExploRation of Human Behaviour
- PICASSO: A Feed-Forward Framework for Parametric Inference of CAD Sketches via Rendering Self-Supervision
- Lightweight Uncertainty Quantification with Simplex Semantic Segmentation for Terrain Traversability
- GeometrySticker: Enabling Ownership Claim of Recolorized Neural Radiance Fields
- Removing cloud shadows from ground-based solar imagery
- Linear-Complexity Self-Supervised Learning for Speech Processing
- Restore Anything Model via Efficient Degradation Adaptation
- Learning from the Web: Language Drives Weakly-Supervised Incremental Learning for Semantic Segmentation
- Capturing Style in Author and Document Representation
- Learning-From-Mistakes Prompting for Indigenous Language Translation
- Implicit Filtering for Learning Neural Signed Distance Functions from 3D Point Clouds
- Hybrid Deep Learning-Based for Enhanced Occlusion Segmentation in PICU Patient Monitoring
- Learn to Memorize and to Forget: A Continual Learning Perspective of Dynamic SLAM
- Long-Term 3D Point Tracking By Cost Volume Fusion
- OAT: Object-Level Attention Transformer for Gaze Scanpath Prediction
- Reconstruct the Pruned Model without Any Retraining
- CiteFusion: An Ensemble Framework for Citation Intent Classification Harnessing Dual-Model Binary Couples and SHAP Analyses
- Unsupervised Domain Adaptive Lane Detection via Contextual Contrast and Aggregation
- RISC-V RVV efficiency for ANN algorithms
- Fully Test-Time rPPG Estimation via Synthetic Signal-Guided Feature Learning
- Deterministic Trajectory Optimization through Probabilistic Optimal Control
- Sortability of Time Series Data
- General Vision Encoder Features as Guidance in Medical Image Registration
- A deep latent variable model for semi-supervised multi-unit soft sensing in industrial processes
- Exposure Completing for Temporally Consistent Neural High Dynamic Range Video Rendering
- Conformal Performance Range Prediction for Segmentation Output Quality Control
- A Dataset and Benchmark for Shape Completion of Fruits for Agricultural Robotics
- Mean Teacher based SSL Framework for Indoor Localization Using Wi-Fi RSSI Fingerprinting
- CoD, Towards an Interpretable Medical Agent using Chain of Diagnosis
- Robust ASR Error Correction with Conservative Data Filtering
- SpeciaLex: A Benchmark for In-Context Specialized Lexicon Learning
- Low-Resourced Speech Recognition for Iu Mien Language via Weakly-Supervised Phoneme-based Multilingual Pre-training
- Scikit-fingerprints: easy and efficient computation of molecular fingerprints in Python
- Hierarchical Stage-Wise Training of Linked Deep Neural Networks for Multi-Building and Multi-Floor Indoor Localization Based on Wi-Fi RSSI Fingerprinting
- Collaborative real-time vision-based device for olive oil production monitoring
- Auditing Local Explanations is Hard
- Deep Time Series Models: A Comprehensive Survey and Benchmark
- URCDM: Ultra-Resolution Image Synthesis in Histopathology
- Underwater Acoustic Signal Denoising Algorithms: A Survey of the State-of-the-art
- Motif-Consistent Counterfactuals with Adversarial Refinement for Graph-Level Anomaly Detection
- Are Large Language Models Capable of Generating Human-Level Narratives?
- STS MICCAI 2023 Challenge: Grand challenge on 2D and 3D semi-supervised tooth segmentation
- PM-LLM-Benchmark: Evaluating Large Language Models on Process Mining Tasks
- NODER: Image Sequence Regression Based on Neural Ordinary Differential Equations
- Transformers with Stochastic Competition for Tabular Data Modelling
- LLM-Empowered State Representation for Reinforcement Learning
- Evaluating Large Language Models for Anxiety and Depression Classification using Counseling and Psychotherapy Transcripts
- Non-Contact Breath Rate Classification Using SVM Model and mmWave Radar Sensor Data
- Multi-sentence Video Grounding for Long Video Generation
- LiNR: Model Based Neural Retrieval on GPUs at LinkedIn
- LIDIA: Precise Liver Tumor Diagnosis on Multi-Phase Contrast-Enhanced CT via Iterative Fusion and Asymmetric Contrastive Learning
- QuIIL at T3 challenge: Towards Automation in Life-Saving Intervention Procedures from First-Person View
- A Curated and Re-annotated Peripheral Blood Cell Dataset Integrating Four Public Resources
- Research on Image Super-Resolution Reconstruction Mechanism based on Convolutional Neural Network
- Improved Esophageal Varices Assessment from Non-Contrast CT Scans
- Transformer-based Single-Cell Language Model: A Survey
- Adapt PointFormer: 3D Point Cloud Analysis via Adapting 2D Visual Transformers
- Scalable Exploration via Ensemble++
- Robust Multivariate Time Series Forecasting against Intra- and Inter-Series Transitional Shift
- KFD-NeRF: Rethinking Dynamic NeRF with Kalman Filter
- HSEmotion Team at the 7th ABAW Challenge: Multi-Task Learning and Compound Facial Expression Recognition
- Methods to Measure the Broncho-Arterial Ratio and Wall Thickness in the Right Lower Lobe for Defining Radiographic Reversibility of Bronchiectasis
- Learned HDR Image Compression for Perceptually Optimal Storage and Display
- The use of the symmetric finite difference in the local binary pattern (symmetric LBP)
- Compressed models are NOT miniature versions of large models
- Unified-EGformer: Exposure Guided Lightweight Transformer for Mixed-Exposure Image Enhancement
- SciCode: A Research Coding Benchmark Curated by Scientists
- Translate-and-Revise: Boosting Large Language Models for Constrained Translation
- A Master-Follower Teleoperation System for Robotic Catheterization: Design, Characterization, and Tracking Control
- Attenuation-Aware Weighted Optical Flow with Medium Transmission Map for Learning-based Visual Odometry in Underwater terrain
- HHGT: Hierarchical Heterogeneous Graph Transformer for Heterogeneous Graph Representation Learning
- Learning Camouflaged Object Detection from Noisy Pseudo Label
- Real-Time 3D Occupancy Prediction via Geometric-Semantic Disentanglement
- Preset-Voice Matching for Privacy Regulated Speech-to-Speech Translation Systems
- Wavelet-based Bi-dimensional Aggregation Network for SAR Image Change Detection
- Integrated Hardware Architecture and Device Placement Search
- A light-weight and efficient punctuation and word casing prediction model for on-device streaming ASR
- Out-of-Distribution Detection through Soft Clustering with Non-Negative Kernel Regression
- Image Inpainting Models are Effective Tools for Instruction-guided Image Editing
- OE-BevSeg: An Object Informed and Environment Aware Multimodal Framework for Bird's-eye-view Vehicle Semantic Segmentation
- LSD3K: A Benchmark for Smoke Removal from Laparoscopic Surgery Images
- MO-EMT-NAS: Multi-Objective Continuous Transfer of Architectural Knowledge Between Tasks from Different Datasets
- HPPP: Halpern-type Preconditioned Proximal Point Algorithms and Applications to Image Restoration
- TrialEnroll: Predicting Clinical Trial Enrollment Success with Deep & Cross Network and Large Language Models
- PG-Attack: A Precision-Guided Adversarial Attack Framework Against Vision Foundation Models for Autonomous Driving
- UCIP: A Universal Framework for Compressed Image Super-Resolution using Dynamic Prompt
- Tree semantic segmentation from aerial image time series
- AlcLaM: Arabic Dialectal Language Model
- Audio-visual Generalized Zero-shot Learning the Easy Way
- CC-DCNet: Dynamic Convolutional Neural Network with Contrastive Constraints for Identifying Lung Cancer Subtypes on Multi-modality Images
- Enhanced Denoising of Optical Coherence Tomography Images Using Residual U-Net
- MetaSumPerceiver: Multimodal Multi-Document Evidence Summarization for Fact-Checking
- Modeling and Driving Human Body Soundfields through Acoustic Primitives
- Enhancing Temporal Action Localization: Advanced S6 Modeling with Recurrent Mechanism
- Dynamic Sentiment Analysis with Local Large Language Models using Majority Voting: A Study on Factors Affecting Restaurant Evaluation