Papers
Mon 30 Sep 2024
351 papers
- Resolving Positional Ambiguity in Dialogues by Vision-Language Models for Robot NavigationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Meta Reinforcement Learning Approach for Adaptive Resource Optimization in O-RANDeep reinforcement learning methods → RL for energy, networks and operations
- Unsupervised Human Preference LearningLLM reasoning → Reinforcement learning for reasoning +1
- FaithEval: Can Your Language Model Stay Faithful to Context, Even If "The Moon is Made of Marshmallows"Retrieval-augmented generation → RAG robustness and adaptive retrieval
- Do Vision-Language Models Really Understand Visual Language?Multimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Volumetric Conditional Score-based Residual Diffusion Model for PET/MR DenoisingDiffusion models → Medical imaging and segmentation
- Adaptable Moral Stances of Large Language Models on Sexist Content: Implications for Society and Gender DiscourseLLM reasoning → Reasoning benchmarks and evaluation
- KV-Compress: Paged KV-Cache Compression with Variable Compression Rates per Attention HeadEfficient LLM inference and serving → KV cache optimization
- Scheherazade: Evaluating Chain-of-Thought Math Reasoning in LLMs with Chain-of-ProblemsLLM reasoning → Mathematical reasoning
- Learning to Swim: Reinforcement Learning for 6-DOF Control of Thruster-driven Autonomous Underwater VehiclesDeep reinforcement learning methods → RL for robot navigation and UAV control
- ACE: All-round Creator and Editor Following Instructions via Diffusion TransformerDiffusion models → Image generation, text-to-image and editing
- A Survey on Diffusion Models for Inverse ProblemsDiffusion models → Inverse problems and image restoration
- Graph Residual Noise Learner Network for Brain Connectivity Graph PredictionDiffusion models → Medical imaging and segmentation
- From homeostasis to resource sharing: Biologically and economically aligned multi-objective multi-agent gridworld-based AI safety benchmarksLLM agents and tool use → Agent threats, guardrails and governance
- Interactive Speculative Planning: Enhance Agent Efficiency through Co-design of System and User InterfaceLLM agents and tool use → General LLM agent frameworks and benchmarks
- Collaborative Knowledge Distillation via a Learning-by-Education Node CommunityKnowledge distillation → General knowledge distillation methods
- Mamba for Streaming ASR Combined with Unimodal AggregationState-space sequence models (S4, Mamba) → Speech and audio SSMs
- M2Distill: Multi-Modal Distillation for Lifelong Imitation LearningOffline RL and imitation learning from data → Robot manipulation imitation learning
- MM1.5: Methods, Analysis & Insights from Multimodal LLM Fine-tuningMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
- LaMMA-P: Generalizable Multi-Agent Long-Horizon Task Allocation and Planning with LM-Driven PDDL PlannerLLM agents and tool use → General LLM agent frameworks and benchmarks
- UniAff: A Unified Representation of Affordances for Tool Usage and Articulation with Vision-Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Upper and Lower Bounds for Distributionally Robust Off-Dynamics Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
- COLLAGE: Collaborative Human-Agent Interaction Generation using Hierarchical Latent Diffusion and Language ModelsDiffusion models → Video generation +1
- FreeMask: Rethinking the Importance of Attention Masks for Zero-Shot Video EditingDiffusion models → Video generation
- Enhancing Romanian Offensive Language Detection through Knowledge Distillation, Multi-Task Learning, and Data AugmentationKnowledge distillation → Knowledge distillation for LLMs
- Linear Projections of Teacher Embeddings for Few-Class DistillationKnowledge distillation → General knowledge distillation methods
- Robot Navigation Using Physically Grounded Vision-Language Models in Outdoor EnvironmentsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Instance-adaptive Zero-shot Chain-of-Thought PromptingLLM reasoning → Prompting and chain-of-thought reasoning
- QAEncoder: Towards Aligned Representation Learning in Question Answering SystemsRetrieval-augmented generation → RAG robustness and adaptive retrieval
- HELPD: Mitigating Hallucination of LVLMs by Hierarchical Feedback Learning with Vision-enhanced Penalty DecodingMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- World to Code: Multi-modal Data Generation via Self-Instructed Compositional Captioning and FilteringMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning +1
- Stream-level flow matching with Gaussian processesDiffusion models → Flow matching, time series and science
- The Perfect Blend: Redefining RLHF with Mixture of JudgesLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- VideoINSTA: Zero-shot Long Video Understanding via Informative Spatial-Temporal Reasoning with LLMsLLM reasoning → Multimodal reasoning
- Efficient Driving Behavior Narration and Reasoning on Edge Device Using Large Language ModelsLLM reasoning → Chain-of-thought reasoning for driving +1
- A SSM is Polymerized from Multivariate Time SeriesState-space sequence models (S4, Mamba) → Time series forecasting with SSMs
- PersonalLLM: Tailoring LLMs to Individual PreferencesLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- Inferring Preferences from Demonstrations in Multi-objective Reinforcement LearningDeep reinforcement learning methods → RL for games and combinatorial optimization
- PerCo (SD): Open Perceptual CompressionDiffusion models → Diffusion for compression and wireless
- Classroom-Inspired Multi-Mentor Distillation with Adaptive Learning StrategiesKnowledge distillation → General knowledge distillation methods
- Mind the GAP: Glimpse-based Active Perception improves generalization and sample efficiency of visual reasoningLLM reasoning → Multimodal reasoning
- Ensemble Kalman Diffusion Guidance: A Derivative-free Method for Inverse ProblemsDiffusion models → Inverse problems and image restoration
- ILeSiA: Interactive Learning of Robot Situational Awareness from Camera InputOffline RL and imitation learning from data → Robot learning from demonstration
- Using Large Multimodal Models to Extract Knowledge Components for Knowledge Tracing from Multimedia Question InformationMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Erase, then Redraw: A Novel Data Augmentation Approach for Free Space Detection Using Diffusion ModelDiffusion models → Image generation, text-to-image and editing
- MemSim: A Bayesian Simulator for Evaluating Memory of LLM-based Personal AssistantsLLM agents and tool use → Agent memory systems
- GravMAD: Grounded Spatial Value Maps Guided Action Diffusion for Generalized 3D ManipulationOffline RL and imitation learning from data → Robot manipulation imitation learning
- VMAD: Visual-enhanced Multimodal Large Language Model for Zero-Shot Anomaly DetectionMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- BSharedRAG: Backbone Shared Retrieval-Augmented Generation for the E-commerce DomainRetrieval-augmented generation → RAG pipeline design and evaluation
- Q-Bench-Video: Benchmarking the Video Quality Understanding of LMMsMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Is Preference Alignment Always the Best Option to Enhance LLM-Based Translation? An Empirical AnalysisLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- GUNDAM: Aligning Large Language Models with Graph UnderstandingLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Visual Context Window Extension: A New Perspective for Long Video UnderstandingMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Dynamic Policy Fusion for User Alignment Without Re-InteractionLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Mitigating Backdoor Threats to Large Language Models: Advancement and ChallengesLLM safety and security → Backdoor and data poisoning attacks
- RoCoTex: A Robust Method for Consistent Texture Synthesis with Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
- Enhancing High-order Interaction Awareness in LLM-based Recommender ModelLLM reasoning → LLM reasoning for recommendation
- Magnet: We Never Know How Text-to-Image Diffusion Models Work, Until We Learn How Vision-Language Models FunctionMultimodal LLMs / vision-language models → Image editing and quality assessment +1
- Multimodal LLM Enhanced Cross-lingual Cross-modal RetrievalMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- Image Copy Detection for Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- Task-Agnostic Pre-training and Task-Guided Fine-tuning for Versatile Diffusion PlannerDiffusion models → Diffusion and flow policies for robotics
- MaskMamba: A Hybrid Mamba-Transformer Model for Masked Image GenerationState-space sequence models (S4, Mamba) → Video, motion and generative Mamba models
- HYDRA-FL: Hybrid Knowledge Distillation for Robust and Accurate Federated LearningKnowledge distillation → Federated, robust and private distillation
- Replace Anyone in VideosDiffusion models → Video generation
- SWIM: Short-Window CNN Integrated with Mamba for EEG-Based Auditory Spatial Attention DecodingState-space sequence models (S4, Mamba) → Speech and audio SSMs
- HDMoLE: Mixture of LoRA Experts with Hierarchical Routing and Dynamic Thresholds for Fine-Tuning LLM-based ASR ModelsMixture-of-experts → Multimodal MoE models
- Towards Unified Multimodal Editing with Enhanced Knowledge CollaborationMultimodal LLMs / vision-language models → Image editing and quality assessment
- Towards Open-Vocabulary Semantic Segmentation Without Semantic LabelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Cerebral microbleeds: Association with cognitive decline and pathology build-up
- A Hierarchical conv-LSTM and LLM Integrated Model for Holistic Stock Forecasting
- Interpretable Rule-Based System for Radar-Based Gesture Sensing: Enhancing Transparency and Personalization in AI
- Hip Fracture Patient Pathways and Agent-based Modelling
- Developing Guidelines for Functionally-Grounded Evaluation of Explainable Artificial Intelligence using Tabular Data
- Adaptive Data Transport Mechanism for UAV Surveillance Missions in Lossy Environments
- AI Foundation Model for Heliophysics: Applications, Design, and Implementation
- AI versus AI in Financial Crimes and Detection: GenAI Crime Waves to Co-Evolutionary AI
- Computing Systemic Risk Measures with Graph Neural Networks
- Complex Logical Query Answering by Calibrating Knowledge Graph Completion Models
- CliMB: An AI-enabled Partner for Clinical Predictive Modeling
- Task-Adaptive Pretrained Language Models via Clustered-Importance Sampling
- Accent conversion using discrete units with parallel data synthesized from controllable accented TTS
- Evaluating the Effects of AI Directors for Quest Selection
- Multi-Scale Convolutional LSTM with Transfer Learning for Anomaly Detection in Cellular Networks
- Teuken-7B-Base & Teuken-7B-Instruct: Towards European LLMs
- Certifying Guidance & Control Networks: Uncertainty Propagation to an Event Manifold
- Exploring QUIC Dynamics: A Large-Scale Dataset for Encrypted Traffic Analysis
- Neurosymbolic AI approach to Attribution in Large Language Models
- Ingest-And-Ground: Dispelling Hallucinations from Continually-Pretrained LLMs with RAG
- Inverse Design of Copolymers Including Stoichiometry and Chain Architecture
- StreamEnsemble: Predictive Queries over Spatiotemporal Streaming Data
- ACEV: Unsupervised Intersecting Manifold Segmentation using Adaptation to Angular Change of Eigenvectors in Intrinsic Dimension
- A Knowledge-Informed Large Language Model Framework for U.S. Nuclear Power Plant Shutdown Initiating Event Classification for Probabilistic Risk Assessment
- Text Clustering as Classification with LLMs
- On the topology and geometry of population-based SHM
- Discriminative community detection for multiplex networks
- Binding Affinity Prediction: From Conventional to Machine Learning-Based Approaches
- Delving Deep into Engagement Prediction of Short Videos
- GARCH-Informed Neural Networks for Volatility Prediction in Financial Markets
- Performance Evaluation of Deep Learning-based Quadrotor UAV Detection and Tracking Methods
- Exploring Social Media Image Categorization Using Large Models with Different Adaptation Methods: A Case Study on Cultural Nature's Contributions to People
All 351
- Social Conjuring: Multi-User Runtime Collaboration with AI in Building Virtual 3D Worlds
- Comprehensive Performance Modeling and System Design Insights for Foundation Models
- GalaxiesML: a dataset of galaxy images, photometry, redshifts, and structural parameters for machine learning
- Real-time Diverse Motion In-betweening with Space-time Control
- KPCA-CAM: Visual Explainability of Deep Computer Vision Models using Kernel PCA
- Class-Agnostic Visio-Temporal Scene Sketch Semantic Segmentation
- Procedure-Aware Surgical Video-language Pretraining with Hierarchical Knowledge Augmentation
- ImmersePro: End-to-End Stereo Video Synthesis Via Implicit Disparity Learning
- DoPAMine: Domain-specific Pre-training Adaptation from seed-guided data Mining
- Possible Principles for Aligned Structure Learning Agents
- The age of spiritual machines: Language quietus induces synthetic altered states of consciousness in artificial intelligence
- Enhanced Credit Score Prediction Using Ensemble Deep Learning Model
- Robin3D: Improving 3D Large Language Model via Robust Instruction Tuning
- MM-Conv: A Multi-modal Conversational Dataset for Virtual Humans
- A Methodology for Explainable Large Language Models with Integrated Gradients and Linguistic Analysis in Text Classification
- Quantized and Asynchronous Federated Learning
- Demonstrating the Continual Learning Capabilities and Practical Application of Discrete-Time Active Inference
- Modulation and Coding for NOMA and RSMA
- Preconditioning for Accelerated Gradient Descent Optimization and Regularization
- Helpful DoggyBot: Open-World Object Fetching using Legged Robots and Vision-Language Models
- Stochastic Inverse Problem: stability, regularization and Wasserstein gradient flow
- Probabilistic Classification of Near-Surface Shallow-Water Sediments using A Portable Free-Fall Penetrometer
- T-KAER: Transparency-enhanced Knowledge-Augmented Entity Resolution Framework
- Characterizing and Efficiently Accelerating Multimodal Generation Model Inference
- End-to-end Piano Performance-MIDI to Score Conversion with Transformers
- Evaluating the performance of state-of-the-art esg domain-specific pre-trained large language models in text classification against existing models and traditional machine learning techniques
- OpenAnimals: Revisiting Person Re-Identification for Animals Towards Better Generalization
- DreamStruct: Understanding Slides and User Interfaces via Synthetic Data Generation
- Zero-Shot Classification of Crisis Tweets Using Instruction-Finetuned Large Language Models
- Evaluating the fairness of task-adaptive pretraining on unlabeled test data before few-shot text classification
- GaNDLF-Synth: A Framework to Democratize Generative AI for (Bio)Medical Imaging
- Basis-to-Basis Operator Learning Using Function Encoders
- (Almost) Smooth Sailing: Towards Numerical Stability of Neural Networks Through Differentiable Regularization of the Condition Number
- SSR: Alignment-Aware Modality Connector for Speech Language Models
- EEG Emotion Copilot: Optimizing Lightweight LLMs for Emotional EEG Interpretation with Assisted Medical Record Generation
- Adapting LLMs for the Medical Domain in Portuguese: A Study on Fine-Tuning and Model Evaluation
- Beyond Single Concept Vector: Modeling Concept Subspace in LLMs with Gaussian Distribution
- Multimodal Alignment of Histopathological Images Using Cell Segmentation and Point Set Matching for Integrative Cancer Analysis
- What If We Had Used a Different App? Reliable Counterfactual KPI Analysis in Wireless Systems
- Are Large Language Models In-Context Personalized Summarizers? Get an iCOPERNICUS Test Done!
- Constraint-Aware Refinement for Safety Verification of Neural Feedback Loops
- Semantic-Driven Topic Modeling Using Transformer-Based Embeddings and Clustering Algorithms
- CVVLSNet: Vehicle Location and Speed Estimation Using Partial Connected Vehicle Trajectory Data
- Fisher Information-based Efficient Curriculum Federated Learning with Large Language Models
- Cartesian Genetic Programming Approach for Designing Convolutional Neural Networks
- Using fractal dimension to predict the risk of intra cranial aneurysm rupture with machine learning
- An Overview of the Burer-Monteiro Method for Certifiable Robot Perception
- Fine-tuning Vision Classifiers On A Budget
- Shuffled Linear Regression via Spectral Matching
- Optimizing Treatment Allocation in the Presence of Interference
- An interdisciplinary exploration of trade-offs between energy, privacy and accuracy aspects of data
- Denoising VAE as an Explainable Feature Reduction and Diagnostic Pipeline for Autism Based on Resting state fMRI
- Ranking the Top-K Realizations of Stochastically Known Event Logs
- Continuously Improving Mobile Manipulation with Autonomous Real-World RL
- Ranking Over Scoring: Towards Reliable and Robust Automated Evaluation of LLM-Generated Medical Explanatory Arguments
- DressRecon: Freeform 4D Human Reconstruction from Monocular Video
- SpaceMesh: A Continuous Representation for Learning Manifold Surface Meshes
- Supervised Multi-Modal Fission Learning
- Uni2Det: Unified and Universal Framework for Prompt-Guided Multi-dataset 3D Detection
- Propose, Assess, Search: Harnessing LLMs for Goal-Oriented Planning in Instructional Videos
- Inverse Painting: Reconstructing The Painting Process
- Maia-2: A Unified Model for Human-AI Alignment in Chess
- LLM Hallucinations in Practical Code Generation: Phenomena, Mechanism, and Mitigation
- Robi Butler: Multimodal Remote Interaction with a Household Robot Assistant
- Annealing Flow Generative Models Towards Sampling High-Dimensional and Multi-Modal Distributions
- Scaling Proprioceptive-Visual Learning with Heterogeneous Pre-trained Transformers
- Best Practices for Responsible Machine Learning in Credit Scoring
- End-to-End Conformal Calibration for Optimization Under Uncertainty
- Dual Encoder GAN Inversion for High-Fidelity 3D Head Reconstruction from Single Images
- Formally Verified Physics-Informed Neural Control Lyapunov Functions
- Word Sense Disambiguation in Native Spanish: A Comprehensive Lexical Evaluation Resource
- Accelerating Non-Maximum Suppression: A Graph Theory Perspective
- SMLE: Safe Machine Learning via Embedded Overapproximation
- Ensemble WSINDy for Data Driven Discovery of Governing Equations from Laser-based Full-field Measurements
- NUTRIVISION: A System for Automatic Diet Management in Smart Healthcare
- What Information Contributes to Log-based Anomaly Detection? Insights from a Configurable Transformer-Based Approach
- Online Decision Deferral under Budget Constraints
- RecSys Challenge 2024: Balancing Accuracy and Editorial Values in News Recommendations
- IRFusionFormer: Enhancing Pavement Crack Segmentation with RGB-T Fusion and Topological-Based Loss
- PoseAdapt: Sustainable Human Pose Estimation via Continual Learning Benchmarks and Toolkit
- A Weakly Supervised Data Labeling Framework for Machine Lexical Normalization in Vietnamese Social Media
- Language Resources in Spanish for Automatic Text Simplification across Domains
- POMONAG: Pareto-Optimal Many-Objective Neural Architecture Generator
- Optimism in the Face of Ambiguity Principle for Multi-Armed Bandits
- Multilevel Picard approximations and deep neural networks with ReLU, leaky ReLU, and softplus activation overcome the curse of dimensionality when approximating semilinear parabolic partial differential equations in Lp-sense
- Decoding the Echoes of Vision from fMRI: Memory Disentangling for Past Semantic Information
- Sufficient and Necessary Explanations (and What Lies in Between)
- Navigating Threats: A Survey of Physical Adversarial Attacks on LiDAR Perception Systems in Autonomous Vehicles
- AI-Based Fully Automatic Analysis of Retinal Vascular Morphology in Pediatric High Myopia
- KANDU-Net:A Dual-Channel U-Net with KAN for Medical Image Segmentation
- Novel machine learning applications at the LHC
- Conformal Prediction for Dose-Response Models with Continuous Treatments
- Physics-Regularized Multi-Modal Image Assimilation for Brain Tumor Localization
- Open-Source Periorbital Segmentation Dataset for Ophthalmic Applications
- Accelerating PoT Quantization on Edge Devices
- AUCSeg: AUC-oriented Pixel-level Long-tail Semantic Segmentation
- When Stereotypes GTG: The Impact of Predictive Text Suggestions on Gender Bias in Human-AI Co-Writing
- Wait, but Tylenol is Acetaminophen... Investigating and Improving Language Models' Ability to Resist Requests for Misinformation
- FireLite: Leveraging Transfer Learning for Efficient Fire Detection in Resource-Constrained Environments
- Beyond Derivative Pathology of PINNs: Variable Splitting Strategy with Convergence Analysis
- Word-wise intonation model for cross-language TTS systems
- Frequency Adaptive Normalization For Non-stationary Time Series Forecasting
- Disentangling Singlish Discourse Particles with Task-Driven Representation
- Rotated Runtime Smooth: Training-Free Activation Smoother for accurate INT4 inference
- Satellite image classification with neural quantum kernels
- CableInspect-AD: An Expert-Annotated Anomaly Detection Dataset
- AI generated annotations for Breast, Brain, Liver, Lungs and Prostate cancer collections in National Cancer Institute Imaging Data Commons
- Enhancing GANs with Contrastive Learning-Based Multistage Progressive Finetuning SNN and RL-Based External Optimization
- Devil is in Details: Locality-Aware 3D Abdominal CT Volume Generation for Self-Supervised Organ Segmentation
- Fine-Tuning Personalization in Federated Learning to Mitigate Adversarial Clients
- Old Optimizer, New Norm: An Anthology
- HEADS-UP: Head-Mounted Egocentric Dataset for Trajectory Prediction in Blind Assistance Systems
- Boosting Hybrid Autoregressive Transducer-based ASR with Internal Acoustic Model Training and Dual Blank Thresholding
- A Looming Replication Crisis in Evaluating Behavior in Language Models? Evidence and Solutions
- OM4OV: Leveraging Ontology Matching for Ontology Versioning
- Alignment-Free Training for Transducer-based Multi-Talker ASR
- Automating MedSAM by Learning Prompts with Weak Few-Shot Supervision
- Distributed NeRF Learning for Collaborative Multi-Robot Perception
- LexEval: A Comprehensive Chinese Legal Benchmark for Evaluating Large Language Models
- Leveraging CAM Algorithms for Explaining Medical Semantic Segmentation
- Match Stereo Videos via Bidirectional Alignment
- Solution for OOD-CV Workshop SSB Challenge 2024 (Open-Set Recognition Track)
- Active Neural Mapping at Scale
- Probabilistic Answer Set Programming with Discrete and Continuous Random Variables
- Loose Social-Interaction Recognition in Real-world Therapy Scenarios
- First Order System Least Squares Neural Networks
- Computer-mediated therapies for stroke rehabilitation: a systematic review and meta-Analysis
- Learning to Ground Existentially Quantified Goals
- Medical Image Segmentation with SAM-generated Annotations
- What is the Role of Large Language Models in the Evolution of Astronomy Research?
- Controlling sharpness, SNR and SAR for 3D FSE at 7T by end-to-end learning
- Input-Label Correlation Governs a Linear-to-Nonlinear Transition in Random Features under Spiked Covariance
- Resource Allocation for Stable LLM Training in Mobile Edge Computing
- Analysing Zero-Shot Readability-Controlled Sentence Simplification
- PsyGUARD: An Automated System for Suicide Detection and Risk Assessment in Psychological Counseling
- A general machine learning model of aluminosilicate melt viscosity and its application to the surface properties of dry lava planets
- Assessing interaction recovery of predicted protein-ligand poses
- GTransPDM: A Graph-embedded Transformer with Positional Decoupling for Pedestrian Crossing Intention Prediction
- Beyond Prompts: Dynamic Conversational Benchmarking of Large Language Models
- Constraining Anomaly Detection with Anomaly-Free Regions
- SetPINNs: Set-based Physics-informed Neural Networks
- Divided by discipline? A systematic literature review on the quantification of online sexism and misogyny using a semi-automated approach
- AfriHuBERT: A self-supervised speech representation model for African languages
- UIR-LoRA: Achieving Universal Image Restoration through Multiple Low-Rank Adaptation
- Melody-Guided Music Generation
- Forecasting Disease Progression with Parallel Hyperplanes in Longitudinal Retinal OCT
- Factory Operators' Perspectives on Cognitive Assistants for Knowledge Sharing: Challenges, Risks, and Impact on Work
- TaskComplexity: A Dataset for Task Complexity Classification with In-Context Learning, FLAN-T5 and GPT-4o Benchmarks
- Choosing DAG Models Using Markov and Minimal Edge Count in the Absence of Ground Truth
- Reference Trustable Decoding: A Training-Free Augmentation Paradigm for Large Language Models
- Survival Prediction in Lung Cancer through Multi-Modal Representation Learning
- Modelando procesos cognitivos de la lectura natural con GPT-2
- Annotation-Free Curb Detection Leveraging Altitude Difference Image
- Task-Oriented Pre-Training for Drivable Area Detection
- How Entangled is Factuality and Deception in German?
- ASTRA: Accurate and Scalable ANNS-based Training of Extreme Classifiers
- 1 Trillion Token (1TT) Platform: A Novel Framework for Efficient Data Sharing and Compensation in Large Language Models
- Classification of Radiological Text in Small and Imbalanced Datasets in a Non-English Language
- RISE-SDF: a Relightable Information-Shared Signed Distance Field for Glossy Object Inverse Rendering
- Characterizing Model Robustness via Natural Input Gradients
- Constraint Guided Model Quantization of Neural Networks
- Segmenting Wood Rot using Computer Vision Models
- Optimizing Cross-Client Domain Coverage for Federated Instruction Tuning of Large Language Models
- Machine Learning in Industrial Quality Control of Glass Bottle Prints
- Reevaluation of Inductive Link Prediction
- PuzzleBoard: A New Camera Calibration Pattern with Position Encoding
- DCAST: Diverse Class-Aware Self-Training Mitigates Selection Bias for Fairer Learning
- Training a Computer Vision Model for Commercial Bakeries with Primarily Synthetic Images
- PACE: Procedural Abstractions for Communicating Efficiently
- Masked Autoregressive Model for Weather Forecasting
- REST-HANDS: Rehabilitation with Egocentric Vision Using Smartglasses for Treatment of Hands after Surviving Stroke
- CBAM-SwinT-BL: Small Rail Surface Defect Detection Method Based on Swin Transformer with Block Level CBAM Enhancement
- DIG-FACE: De-biased Learning for Generalized Facial Expression Category Discovery
- Aggressive Post-Training Compression on Extremely Large Language Models
- Continuous-Time Linear Positional Embedding for Irregular Time Series Forecasting
- Robust LLM safeguarding via refusal feature adversarial training
- Inferring Thunderstorm Occurrence from Vertical Profiles of Convection-Permitting Simulations: Physical Insights from a Physical Deep Learning Model
- SurgPETL: Parameter-Efficient Image-to-Surgical-Video Transfer Learning for Surgical Phase Recognition
- ProFD: Prompt-Guided Feature Disentangling for Occluded Person Re-Identification
- Whole-Graph Representation Learning For the Classification of Signed Networks
- Breaking the Curse of Multiagency in Robust Multi-Agent Reinforcement Learning
- Knowledge Discovery using Unsupervised Cognition
- Lightweight Neural Architecture Search for Cerebral Palsy Detection
- Neural Click Models for Recommender Systems
- Evaluating and explaining training strategies for zero-shot cross-lingual news sentiment analysis
- Mitigating Propensity Bias of Large Language Models for Recommender Systems
- Depression detection in social media posts using transformer-based models and auxiliary features
- OPONeRF: One-Point-One NeRF for Robust Neural Rendering
- Beyond Scores: A Modular RAG-Based System for Automatic Short Answer Scoring with Feedback
- Camera Calibration using a Collimator System
- Single-shot reconstruction of three-dimensional morphology of biological cells in digital holographic microscopy using a physics-driven neural network
- Towards Robust Multimodal Sentiment Analysis with Incomplete Data
- Customized Information and Domain-centric Knowledge Graph Construction with Large Language Models
- DeSTA2: Developing Instruction-Following Speech Language Model Without Speech Instruction-Tuning Data
- Model Selection with a Shapelet-based Distance Measure for Multi-source Transfer Learning in Time Series Classification
- Numerically Robust Fixed-Point Smoothing Without State Augmentation
- Multibiometrics Using a Single Face Image
- Do Influence Functions Work on Large Language Models?
- A large-scale operational study of fingerprint quality and demographics
- Robust Multi-view Co-expression Network Inference
- Predictive Speech Recognition and End-of-Utterance Detection Towards Spoken Dialog Systems
- OccRWKV: Rethinking Efficient 3D Semantic Occupancy Prediction with Linear Complexity
- SuperPose: Improved 6D Pose Estimation with Robust Tracking and Mask-Free Initialization
- CONTESTS: a Framework for Consistency Testing of Span Probabilities in Language Models
- TSdetector: Temporal-Spatial Self-correction Collaborative Learning for Colonoscopy Video Detection
- NOMADS: Non-Markovian Optimization-based Modeling for Approximate Dynamics with Spatially-homogeneous Memory
- Knowledge Graph Embedding by Normalizing Flows
- Deep Parallel Spectral Neural Operators for Solving Partial Differential Equations with Enhanced Low-Frequency Learning Capability
- Exploiting Adjacent Similarity in Multi-Armed Bandit Tasks via Transfer of Reward Samples
- DAOcc: 3D Object Detection Assisted Multi-Sensor Fusion for 3D Occupancy Prediction
- Comments on "Privacy-Enhanced Federated Learning Against Poisoning Adversaries"
- A Self-attention Residual Convolutional Neural Network for Health Condition Classification of Cow Teat Images
- TROPE: TRaining-Free Object-Part Enhancement for Seamlessly Improving Fine-Grained Zero-Shot Image Captioning
- Domain Consistency Representation Learning for Lifelong Person Re-Identification
- Law of the Weakest Link: Cross Capabilities of Large Language Models
- JaPOC: Japanese Post-OCR Correction Benchmark using Vouchers
- Classification with a Network of Partially Informative Agents: Enabling Wise Crowds from Individually Myopic Classifiers
- Illustrious: an Open Advanced Illustration Model
- One Shot GANs for Long Tail Problem in Skin Lesion Dataset using novel content space assessment metric
- CycleCrash: A Dataset of Bicycle Collision Videos for Collision Prediction and Analysis
- Positive-Sum Fairness: Leveraging Demographic Attributes to Achieve Fair AI Outcomes Without Sacrificing Group Gains
- Leveraging Pre-trained Models for Robust Federated Learning for Kidney Stone Type Recognition
- CCDepth: A Lightweight Self-supervised Depth Estimation Network with Enhanced Interpretability
- EndoDepth: A Benchmark for Assessing Robustness in Endoscopic Depth Prediction
- Mitigating optimistic bias in entropic risk estimation and optimization
- LLMEmb: Large Language Model Can Be a Good Embedding Generator for Sequential Recommendation
- On The Planning Abilities of OpenAI's o1 Models: Feasibility, Optimality, and Generalizability
- Understanding Higher-Order Correlations Among Semantic Components in Embeddings
- Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Object-Oriented Programming
- Scaling Optimal LR Across Token Horizons
- SurvCORN: Survival Analysis with Conditional Ordinal Ranking Neural Network
- OpenKD: Opening Prompt Diversity for Zero- and Few-shot Keypoint Detection
- UniSumEval: Towards Unified, Fine-Grained, Multi-Dimensional Summarization Evaluation for LLMs
- TransAgent: Enhancing LLM-Based Code Translation via Fine-Grained Execution Alignment
- Universal Medical Image Representation Learning with Compositional Decoders
- RouterDC: Query-Based Router by Dual Contrastive Learning for Assembling Large Language Models
- Contrastive Token Learning with Similarity Decay for Repetition Suppression in Machine Translation
- TSI: A Multi-View Representation Learning Approach for Time Series Forecasting
- TokenBinder: Text-Video Retrieval with One-to-Many Alignment Paradigm
- Learning Multimodal Latent Generative Models with Energy-Based Prior
- Benchmarking Adaptive Intelligence and Computer Vision on Human-Robot Collaboration
- The Construction of Instruction-tuned LLMs for Finance without Instruction Data Using Continual Pretraining and Model Merging
- SATA: Spatial Autocorrelation Token Analysis for Enhancing the Robustness of Vision Transformers
- Counter-Current Learning: A Biologically Plausible Dual Network Approach for Deep Learning
- Textual Training for the Hassle-Free Removal of Unwanted Visual Data: Case Studies on OOD and Hateful Image Detection
- ForecastBench: A Dynamic Benchmark of AI Forecasting Capabilities
- Using pretrained graph neural networks with token mixers as geometric featurizers for conformational dynamics
- MoCoLSK: Modality Conditioned High-Resolution Downscaling for Land Surface Temperature
- HazyDet: Open-Source Benchmark for Drone-View Object Detection with Depth-Cues in Hazy Scenes
- Enabling Multi-Robot Collaboration from Single-Human Guidance
- GameLabel-10K: Collecting Image Preference Data Through Mobile Game Crowdsourcing