Papers
Thu 11 Jul 2024
304 papers
- NinjaLLM: Fast, Scalable and Cost-effective RAG using Amazon SageMaker and AWS Trainium and Inferentia2Retrieval-augmented generation → RAG pipeline design and evaluation
- Characterizing Prompt Compression Methods for Long Context InferenceEfficient LLM inference and serving → Prompt and context compression
- Emerging Practices for Large Multimodal Model (LMM) Assistance for People with Visual Impairments: Implications for DesignMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- CXR-Agent: Vision-language models for chest X-ray interpretation with uncertainty aware radiology reportingMultimodal LLMs / vision-language models → Medical vision-language models +2
- PID Accelerated Temporal Difference AlgorithmsDeep reinforcement learning methods → RL theory and sample complexity
- Data Adaptive Traceback for Vision-Language Foundation Models in Image ClassificationMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Model Surgery: Modulating LLM's Behavior Via Simple Parameter EditingLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- MAVIS: Mathematical Visual Instruction Tuning with an Automatic Data EngineLLM reasoning → Multimodal reasoning +1
- Video Diffusion Alignment via Reward GradientsDiffusion models → Video generation +1
- Transformer Circuit Faithfulness Metrics are not RobustMechanistic interpretability → Circuits and mechanistic analysis
- Is Your Model Really A Good Math Reasoner? Evaluating Mathematical Reasoning with ChecklistLLM reasoning → Mathematical reasoning
- MetaUrban: An Embodied AI Simulation Platform for Urban MicromobilityWorld models → World models for autonomous driving
- GTA: A Benchmark for General Tool AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Extracting Training Data from Document-Based VQA ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- HiRes-LLaVA: Restoring Fragmentation Input in High-Resolution Large Vision-Language ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- Live2Diff: Live Stream Translation via Uni-directional Attention in Video Diffusion ModelsDiffusion models → Video generation
- Robotic Control via Embodied Chain-of-Thought ReasoningWorld models → Embodied and robot world models +3
- CAD-Prompted Generative Models: A Pathway to Feasible and Novel Engineering DesignsDiffusion models → 3D, point cloud and scene generation
- NODE-Adapter: Neural Ordinary Differential Equations for Better Vision-Language ReasoningLLM reasoning → Multimodal reasoning
- Controlling the Fidelity and Diversity of Deep Generative Models via Pseudo DensityDiffusion models → Diffusion foundations and sampling
- β-DPO: Direct Preference Optimization with Dynamic βLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- A Review of Nine Physics Engines for Reinforcement Learning ResearchDeep reinforcement learning methods → RL for robot locomotion and manipulation
- The Synergy between Data and Multi-Modal Large Language Models: A Survey from Co-Development PerspectiveMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- ST-Mamba: Spatial-Temporal Mamba for Traffic Flow Estimation Recovery using Limited DataState-space sequence models (S4, Mamba) → Video, motion and generative Mamba models
- Converging Paradigms: The Synergy of Symbolic and Connectionist AI in LLM-Empowered Autonomous AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Fine-Tuning Stable Diffusion XL for Stylistic Icon Generation: A Comparison of Caption SizeDiffusion models → Image generation, text-to-image and editing
- Latent Conditional Diffusion-based Data Augmentation for Continuous-Time Dynamic Graph ModelDiffusion models → Flow matching, time series and science
- Investigating LLMs as Voting Assistants via Contextual Augmentation: A Case Study on the European Parliament Elections 2024Retrieval-augmented generation → Legal and financial RAG
- Lynx: An Open Source Hallucination Evaluation ModelRetrieval-augmented generation → Hallucination detection in RAG
- SliceMamba with Neural Architecture Search for Medical Image SegmentationState-space sequence models (S4, Mamba) → Mamba for medical image analysis
- VideoMamba: Spatio-Temporal Selective State Space ModelState-space sequence models (S4, Mamba) → Video, motion and generative Mamba models
- TLDR: Unsupervised Goal-Conditioned RL via Temporal Distance-Aware RepresentationsDeep reinforcement learning methods → Deep RL algorithms and representations
- Distributed Deep Reinforcement Learning Based Gradient Quantization for Federated Learning Enabled Vehicle Edge ComputingDeep reinforcement learning methods → RL for energy, networks and operations
- Model Tells You Where to Merge: Adaptive KV Cache Merging for LLMs on Long-Context TasksEfficient LLM inference and serving → KV cache optimization
- Are Large Language Models Really Bias-Free? Jailbreak Prompts for Assessing Adversarial Robustness to Bias ElicitationLLM safety and security → Safety alignment, refusal and guardrails
- Specialized curricula for training vision-language models in retinal image analysisMultimodal LLMs / vision-language models → Medical vision-language models
- Self-training Language Models for Arithmetic ReasoningLLM reasoning → Mathematical reasoning +1
- Diff-Tracker: Text-to-Image Diffusion Models are Unsupervised TrackersDiffusion models → Video generation
- Enhancing Robustness of Vision-Language Models through Orthogonality Learning and Self-RegularizationMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Skywork-Math: Data Scaling Laws for Mathematical Reasoning in Large Language Models -- The Story Goes OnLLM reasoning → Mathematical reasoning
- SR-Mamba: Effective Surgical Phase Recognition with State Space ModelState-space sequence models (S4, Mamba) → Mamba for medical image analysis
- DenseFusion-1M: Merging Vision Experts for Comprehensive Multimodal PerceptionMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Beyond Benchmarks: Evaluating Embedding Model Similarity for Retrieval Augmented Generation SystemsRetrieval-augmented generation → Generation and context integration
- Explore the Potential of CLIP for Training-Free Open Vocabulary Semantic SegmentationMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- A Deep Reinforcement Learning Framework and Methodology for Reducing the Sim-to-Real Gap in ASV NavigationDeep reinforcement learning methods → RL for robot navigation and UAV control
- Knowledge distillation to effectively attain both region-of-interest and global semantics from an image where multiple objects appearKnowledge distillation → General knowledge distillation methods
- GraphMamba: An Efficient Graph Structure Learning Vision Mamba for Hyperspectral Image ClassificationState-space sequence models (S4, Mamba) → Hyperspectral image analysis with Mamba
- Gradient Boosting Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
- E2VIDiff: Perceptual Events-to-Video Reconstruction using Diffusion PriorsDiffusion models → Video generation
- Speculative RAG: Enhancing Retrieval Augmented Generation through DraftingRetrieval-augmented generation → RAG pipeline design and evaluation
- SoupLM: Model Integration in Large Language and Multi-Modal ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Hypergraph Multi-modal Large Language Model: Exploiting EEG and Eye-tracking Modalities to Evaluate Heterogeneous Responses for Video UnderstandingMultimodal LLMs / vision-language models → Multimodal emotion understanding
- Survey on Fundamental Deep Learning 3D Reconstruction TechniquesDiffusion models → 3D, point cloud and scene generation
- DMM: Disparity-guided Multispectral Mamba for Oriented Object Detection in Remote SensingState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
- What to Say and When to Say it: Live Fitness Coaching as a Testbed for Situated InteractionMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Brief state of the art in social information mining: Practical application in analysis of trends in French legislative 2024
- WalkTheDog: Cross-Morphology Motion Alignment via Phase Manifolds
- CogNarr Ecosystem: Facilitating Group Cognition at Scale
- Several questions of visual generation in 2024
- Estimation of Distribution Algorithms with Matrix Transpose in Bayesian Learning
- AIR-Bench 2024: A Safety Benchmark Based on Risk Categories from Regulations and Policies
- Have We Reached AGI? Comparing ChatGPT, Claude, and Gemini to Human Literacy and Education Benchmarks
- DeepCodeProbe: Towards Understanding What Models Trained on Code Learn
- Uncovering Semantics and Topics Utilized by Threat Actors to Deliver Malicious Attachments and URLs
- Automatic Pruning of Fine-tuning Datasets for Transformer-based Language Models
- Semi-Supervised Multi-Task Learning Based Framework for Power System Security Assessment
- Manipulating a Tetris-Inspired 3D Video Representation
- TractGraphFormer: Anatomically Informed Hybrid Graph CNN-Transformer Network for Interpretable Sex and Age Prediction from Diffusion MRI Tractography
- SALT: Introducing a Framework for Hierarchical Segmentations in Medical Imaging using Softmax for Arbitrary Label Trees
- DegustaBot: Zero-Shot Visual Preference Estimation for Personalized Multi-Object Rearrangement
- Visual Multi-Object Tracking with Re-Identification and Occlusion Handling using Labeled Random Finite Sets
- Generalizable Physics-Informed Learning for Stochastic Safety-Critical Systems
- Perceptions of Sentient AI and Other Digital Minds: Evidence from the AI, Morality, and Sentience (AIMS) Survey
- Single-Image Shadow Removal Using Deep Learning: A Comprehensive Survey
- A Hybrid Spiking-Convolutional Neural Network Approach for Advancing Machine Learning Models
- BraTS-PEDs: Results of the Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge 2023
- GPT-4 is judged more human than humans in displaced and inverted Turing tests
- Multi-scale gridded Gabor attention for cirrus segmentation
- UICrit: Enhancing Automated Design Evaluation with a UICritique Dataset
- Inflationary Flows: Calibrated Bayesian Inference with Diffusion-Based Models
- Evaluating Nuanced Bias in Large Language Model Free Response Answers
- Data-driven Model Reduction for Soft Robots via Lagrangian Operator Inference
- A Survey on the Application of Generative Adversarial Networks in Cybersecurity: Prospective, Direction and Open Research Scopes
- Deep Learning for Network Anomaly Detection under Data Contamination: Evaluating Robustness and Mitigating Performance Degradation
- Fault Diagnosis in Power Grids with Large Language Model
- Neural Networks Meet Elliptic Curve Cryptography: A Novel Approach to Secure Communication
- Proving that Cryptic Crossword Clue Answers are Correct
- FedMedICL: Towards Holistic Evaluation of Distribution Shifts in Federated Medical Imaging
- Rule-Based, Neural and LLM Back-Translation: Comparative Insights from a Variant of Ladin
- MAGNET: Improving the Multilingual Fairness of Language Models with Adaptive Gradient-Based Tokenization
- FairDomain: Achieving Fairness in Cross-Domain Medical Image Segmentation and Classification
- HO-FMN: Hyperparameter Optimization for Fast Minimum-Norm Attacks
- DG-PIC: Domain Generalized Point-In-Context Learning for Point Cloud Understanding
- Local Clustering for Lung Cancer Image Classification via Sparse Solution Technique
- Deep Inverse Design for High-Level Synthesis
- Feasibility of Neural Radiance Fields for Crime Scene Video Reconstruction
- Large Models of What? Mistaking Engineering Achievements for Human Linguistic Agency
- Approximating G(t)/GI/1 queues with deep learning
- Real-Time Anomaly Detection and Reactive Planning with Large Language Models
- BiEquiFormer: Bi-Equivariant Representations for Global Point Cloud Registration
All 304
- Map It Anywhere (MIA): Empowering Bird's Eye View Mapping using Large-scale Public Data
- Topological Generalization Bounds for Discrete-Time Stochastic Optimization Algorithms
- Controlling diverse robots by inferring Jacobian fields with deep networks
- WhisperNetV2: SlowFast Siamese Network For Lip-Based Biometrics
- A Taxonomy for Data Contamination in Large Language Models
- Sensor-Aware Classifiers for Energy-Efficient Time Series Applications on IoT Devices
- OmniNOCS: A unified NOCS dataset and model for 3D lifting of 2D objects
- eyeballvul: a future-proof benchmark for vulnerability detection in the wild
- Towards Efficient Deployment of Hybrid SNNs on Neuromorphic and Edge AI Hardware
- Flex-TPU: A Flexible TPU with Runtime Reconfigurable Dataflow Architecture
- Mitigating Catastrophic Forgetting in Language Transfer via Model Merging
- Cloud Atlas: Efficient Fault Localization for Cloud Systems using Language Models and Causal Insight
- ElasticAST: An Audio Spectrogram Transformer for All Length and Resolutions
- Operationalizing the Blueprint for an AI Bill of Rights: Recommendations for Practitioners, Researchers, and Policy Makers
- SEED-Story: Multimodal Long Story Generation with Large Language Model
- Hardware Neural Control of CartPole and F1TENTH Race Car
- Generalizable Implicit Motion Modeling for Video Frame Interpolation
- How to beat a Bayesian adversary
- Still-Moving: Customized Video Generation without Customized Video Data
- Segmentation-guided Attention for Visual Question Answering from Remote Sensing Images
- Modeling Spatial Extremal Dependence of Precipitation Using Distributional Neural Networks
- Uncertainty Estimation of Large Language Models in Medical Question Answering
- SPOCKMIP: Segmentation of Vessels in MRAs with Enhanced Continuity using Maximum Intensity Projection as Loss
- Adaptive Smooth Non-Stationary Bandits
- Latent Spaces Enable Transformer-Based Dose Prediction in Complex Radiotherapy Plans
- Confidence-based Estimators for Predictive Performance in Model Monitoring
- CAR-MFL: Cross-Modal Augmentation by Retrieval for Multimodal Federated Learning with Missing Modalities
- From Real to Cloned Singer Identification
- Towards Building Specialized Generalist AI with System 1 and System 2 Fusion
- How more data can hurt: Instability and regularization in next-generation reservoir computing
- Modality Agnostic Heterogeneous Face Recognition with Switch Style Modulators
- RTMW: Real-Time Multi-Person 2D and 3D Whole-body Pose Estimation
- A Novel Framework for Automated Warehouse Layout Generation
- Generalization Error Matters in Decentralized Learning Under Byzantine Attacks
- RoboMorph: Evolving Robot Morphology using Large Language Models
- Histopathological Image Classification with Cell Morphology Aware Deep Neural Networks
- Surpassing Cosine Similarity for Multidimensional Comparisons: Dimension Insensitive Euclidean Metric
- Tamil Language Computing: the Present and the Future
- Semantic GUI Scene Learning and Video Alignment for Detecting Duplicate Video-based Bug Reports
- BiasPruner: Debiased Continual Learning for Medical Image Classification
- FlashAttention-3: Fast and Accurate Attention with Asynchrony and Low-precision
- Turn-Level Empathy Prediction Using Psychological Indicators
- Learning Program Behavioral Models from Synthesized Input-Output Pairs
- HACMan++: Spatially-Grounded Motion Primitives for Manipulation
- On the Universal Truthfulness Hyperplane Inside LLMs
- Boosting Adversarial Transferability for Skeleton-based Action Recognition via Exploring the Model Posterior Space
- Multi-Group Proportional Representation in Retrieval
- Approaching Outside: Scaling Unsupervised 3D Object Detection from 2D Scene
- Adaptive Parametric Activation: Unifying and Generalising Activation Functions Across Tasks
- The Career Interests of Large Language Models
- Vox Populi, Vox AI? Using Language Models to Estimate German Public Opinion
- MapLocNet: Coarse-to-Fine Feature Registration for Visual Re-Localization in Navigation Maps
- Causal inference through multi-stage learning and doubly robust deep neural networks
- SLoRD: Structural Low-Rank Descriptors for Shape Consistency in Vertebrae Segmentation
- Establishing Rigorous and Cost-effective Clinical Trials for Artificial Intelligence Models
- Autoregressive Speech Synthesis without Vector Quantization
- Incorporating Large Language Models into Production Systems for Enhanced Task Automation and Flexibility
- Quantitative Evaluation of the Saliency Map for Alzheimer's Disease Classifier with Anatomical Segmentation
- OMR-NET: a two-stage octave multi-scale residual network for screen content image compression
- Exemplar-free Continual Representation Learning via Learnable Drift Compensation
- Enhancing octree-based context models for point cloud geometry compression with attention-based child node number prediction
- BLOS-BEV: Navigation Map Enhanced Lane Segmentation Network, Beyond Line of Sight
- Emergent Visual-Semantic Hierarchies in Image-Text Representations
- Enhancing context models for point cloud geometry compression with context feature residuals and multi-loss
- Generalized Low-Rank Matrix Completion Model with Overlapping Group Error Representation
- 15M Multimodal Facial Image-Text Dataset
- Rethinking the Threat and Accessibility of Adversarial Attacks against Face Recognition Systems
- Haar Nuclear Norms with Applications to Remote Sensing Imagery Restoration
- Bootstrapping Vision-language Models for Self-supervised Remote Physiological Measurement
- ERD: Exponential Retinex decomposition based on weak space and hybrid nonconvex regularization and its denoising application
- CE-QArg: Counterfactual Explanations for Quantitative Bipolar Argumentation Frameworks (Technical Report)
- Multivariate root-n-consistent smoothing parameter free matching estimators and estimators of inverse density weighted expectations
- Projecting Points to Axes: Oriented Object Detection via Point-Axis Representation
- Learning Localization of Body and Finger Animation Skeleton Joints on Three-Dimensional Models of Human Bodies
- Robust Generalization of Graph Neural Networks for Carrier Scheduling
- Investigating Public Fine-Tuning Datasets: A Complex Review of Current Practices from a Construction Perspective
- Natural language is not enough: Benchmarking multi-modal generative AI for Verilog generation
- Brain Tumor Segmentation in MRI Images with 3D U-Net and Contextual Transformer
- Global Spatial-Temporal Information-based Residual ConvLSTM for Video Space-Time Super-Resolution
- Semi-Supervised Object Detection: A Survey on Progress from CNN to Transformer
- Genus expansion for non-linear random matrix ensembles with applications to neural networks
- Joint Optimization of Age of Information and Energy Consumption in NR-V2X System based on Deep Reinforcement Learning
- Neural Poisson Solver: A Universal and Continuous Framework for Natural Signal Blending
- Paving the way toward foundation models for irregular and unaligned Satellite Image Time Series
- WildGaussians: 3D Gaussian Splatting in the Wild
- Infinite Motion: Extended Motion Generation via Long Text Instructions
- How Deep is your Guess? A Fresh Perspective on Deep Learning for Medical Time-Series Imputation
- Beyond Instruction Following: Evaluating Inferential Rule Following of Large Language Models
- Improve Load Forecasting in Energy Communities through Transfer Learning using Open-Access Synthetic Profiles
- Subgroup-Specific Risk-Controlled Dose Estimation in Radiotherapy
- A Comprehensive Survey on Human Video Generation: Challenges, Methods, and Insights
- On the (In)Security of LLM App Stores
- PredBench: Benchmarking Spatio-Temporal Prediction across Diverse Disciplines
- Unveiling the Potential of BERTopic for Multilingual Fake News Analysis -- Use Case: Covid-19
- Parallelizing Autoregressive Generation with Variational State Space Models
- MeshAvatar: Learning High-quality Triangular Human Avatars from Multi-view Videos
- CLEO: Continual Learning of Evolving Ontologies
- A Two-Stage Machine Learning-Aided Approach for Quench Identification at the European XFEL
- Ethics of Generating Synthetic MRI Vocal Tract Views from the Face
- Using deep neural networks to detect non-analytically defined expert event labels in canoe sprint force sensor signals
- On the attribution of confidence to large language models
- Accurate Cooperative Localization Utilizing LiDAR-equipped Roadside Infrastructure for Autonomous Driving
- Digital twins to alleviate the need for real field data in vision-based vehicle speed detection systems
- Long-range Turbulence Mitigation: A Large-scale Dataset and A Coarse-to-fine Framework
- An Economic Framework for 6-DoF Grasp Detection
- Scalar Function Topology Divergence: Comparing Topology of 3D Objects
- STAL: Spike Threshold Adaptive Learning Encoder for Classification of Pain-Related Biosignal Data
- Event-based vision on FPGAs -- a survey
- AutoBencher: Towards Declarative Benchmark Construction
- Spine Vision X-Ray Image based GUI Planning of Pedicle Screws Using Enhanced YOLOv5 for Vertebrae Segmentation
- GUI-based Pedicle Screw Planning on Fluoroscopic Images Utilizing Vertebral Segmentation
- Adaptive Deep Iris Feature Extractor at Arbitrary Resolutions
- SLRL: Structured Latent Representation Learning for Multi-view Clustering
- FedLog: Personalized Federated Classification with Less Communication and More Flexibility
- Towards Explainable Evolution Strategies with Large Language Models
- HDT: Hierarchical Document Transformer
- Unveiling Disparities in Maternity Care: A Topic Modelling Approach to Analysing Maternity Incident Investigation Reports
- A Cantor-Kantorovich Metric Between Markov Decision Processes with Application to Transfer Learning
- Intelligent Multi-Document Summarisation for Extracting Insights on Racial Inequalities from Maternity Incident Investigation Reports
- Refining ADHD diagnosis with EEG: The impact of preprocessing and temporal segmentation on classification accuracy
- Improving Molecular Modeling with Geometric GNNs: an Empirical Study
- Let Network Decide What to Learn: Symbolic Music Understanding Model Based on Large-scale Adversarial Pre-training
- Impact Measures for Gradual Argumentation Semantics
- XAI-Guided Enhancement of Vegetation Indices for Crop Mapping
- Q-GaLore: Quantized GaLore with INT4 Projection and Layer-Adaptive Low-Rank Gradients
- Gap Completion in Point Cloud Scene occluded by Vehicles using SGC-Net
- Predicting Heart Failure with Attention Learning Techniques Utilizing Cardiovascular Data
- AoA-Based Physical Layer Authentication in Analog Arrays under Impersonation Attacks
- WayveScenes101: A Dataset and Benchmark for Novel View Synthesis in Autonomous Driving
- Continually Learn to Map Visual Concepts to Large Language Models in Resource-constrained Environments
- StixelNExT: Toward Monocular Low-Weight Perception for Object Segmentation and Free Space Detection
- Explainability of Sub-Field Level Crop Yield Prediction using Remote Sensing
- RB-SQL: A Retrieval-based LLM Framework for Text-to-SQL
- PowerYOLO: Mixed Precision Model for Hardware Efficient Object Detection with Event Data
- Gaussian process interpolation with conformal prediction: methods and comparative analysis
- SciQu: Accelerating Materials Properties Prediction with Automated Literature Mining for Self-Driving Laboratories
- LLMs' morphological analyses of complex FST-generated Finnish words
- Coordinate-Aware Thermal Infrared Tracking Via Natural Language Modeling
- SALSA: Swift Adaptive Lightweight Self-Attention for Enhanced LiDAR Place Recognition
- Adaptive Compressed Sensing with Diffusion-Based Posterior Sampling
- United We Stand: Decentralized Multi-Agent Planning With Attrition
- Spatially-Variant Degradation Model for Dataset-free Super-resolution
- GeNet: A Multimodal LLM-Based Co-Pilot for Network Topology and Configuration
- Toward accessible comics for blind and low vision readers
- Feature Diversification and Adaptation for Federated Domain Generalization
- Synchronous Diffusion for Unsupervised Smooth Non-Rigid 3D Shape Matching
- Generalized Face Anti-spoofing via Finer Domain Partition and Disentangling Liveness-irrelevant Factors
- Leveraging LLMs to Predict Affective States via Smartphone Sensor Features
- An Unsupervised Domain Adaptation Method for Locating Manipulated Region in partially fake Audio
- Differentially Private Neural Network Training Under the Hidden State Assumption
- SwishReLU: A Unified Approach to Activation Functions for Enhanced Deep Neural Networks Performance
- DALL-M: Context-Aware Clinical Data Augmentation with LLMs
- stEnTrans: Transformer-based deep learning for spatial transcriptomics enhancement
- GAURA: Generalizable Approach for Unified Restoration and Rendering of Arbitrary Views
- Generating Contextually-Relevant Navigation Instructions for Blind and Low Vision People
- Multimodal contrastive learning for spatial gene expression prediction using histology images
- Enhancing Performance and User Engagement in Everyday Stress Monitoring: A Context-Aware Active Reinforcement Learning Approach
- Towards stable training of parallel continual learning
- Enriching Information and Preserving Semantic Consistency in Expanding Curvilinear Object Segmentation Datasets
- System Report for CCL24-Eval Task 7: Multi-Error Modeling and Fluency-Targeted Pre-training for Chinese Essay Evaluation
- OPIMA: Optical Processing-In-Memory for Convolutional Neural Network Acceleration
- Chromosomal Structural Abnormality Diagnosis by Homologous Similarity
- Deep Understanding of Soccer Match Videos
- SRPose: Two-view Relative Pose Estimation with Sparse Keypoints
- A Text-to-Game Engine for UGC-Based Role-Playing Games
- Dynamic Co-Optimization Compiler: Leveraging Multi-Agent Reinforcement Learning for Enhanced DNN Accelerator Performance
- fairBERTs: Erasing Sensitive Information Through Semantic and Fairness-aware Perturbations
- Position: Measure Dataset Diversity, Don't Just Claim It
- ScaleDepth: Decomposing Metric Depth Estimation into Scale Prediction and Relative Depth Estimation
- Automatic Generation of Web Censorship Probe Lists
- Beyond Text: Leveraging Multi-Task Learning and Cognitive Appraisal Theory for Post-Purchase Intention Analysis
- CoGS: Causality Constrained Counterfactual Explanations using goal-directed ASP
- Foundation Model Engineering: Engineering Foundation Models Just as Engineering Software
- The Approximate Fisher Influence Function: Faster Estimation of Data Influence in Statistical Models
- DSCENet: Dynamic Screening and Clinical-Enhanced Multimodal Fusion for MPNs Subtype Classification
- Synthetic Electroretinogram Signal Generation Using Conditional Generative Adversarial Network for Enhancing Classification of Autism Spectrum Disorder
- Explicit-NeRF-QA: A Quality Assessment Database for Explicit NeRF Model Compression
- Hierarchical Consensus-Based Multi-Agent Reinforcement Learning for Multi-Robot Cooperation Tasks
- Improving Visual Place Recognition Based Robot Navigation By Verifying Localization Estimates
- Model-agnostic clean-label backdoor mitigation in cybersecurity environments
- AddressCLIP: Empowering Vision-Language Models for City-wide Image Address Localization
- Lifelong Histopathology Whole Slide Image Retrieval via Distance Consistency Rehearsal
- Privacy-Preserving Data Deduplication for Enhancing Federated Learning of Language Models (Extended Version)
- Enrich the content of the image Using Context-Aware Copy Paste
- Deep Polarization Cues for Single-shot Shape and Subsurface Scattering Estimation
- SCPNet: Unsupervised Cross-modal Homography Estimation via Intra-modal Self-supervised Learning
- Looks can be Deceptive: Distinguishing Repetition Disfluency from Reduplication
- EchoMimic: Lifelike Audio-Driven Portrait Animations through Editable Landmark Conditions
- Highway Networks for Improved Surface Reconstruction: The Role of Residuals and Weight Updates
- Nonverbal Interaction Detection
- Spiking Tucker Fusion Transformer for Audio-Visual Zero-Shot Learning
- Prediction Exposes Your Face: Black-box Model Inversion via Prediction Alignment
- Label-anticipated Event Disentanglement for Audio-Visual Video Parsing
- Real-Time Summarization of Twitter
- Improving Dental Diagnostics: Enhanced Convolution with Spatial Attention Mechanism
- FYI: Flip Your Images for Dataset Distillation
- How Well Can a Long Sequence Model Model Long Sequences? Comparing Architechtural Inductive Biases on Long-Context Abilities
- Urban Waterlogging Detection: A Challenging Benchmark and Large-Small Model Co-Adapter
- CADC: Encoding User-Item Interactions for Compressing Recommendation Model Training Data
- Advanced Meta-Ensemble Machine Learning Models for Early and Accurate Sepsis Prediction to Improve Patient Outcomes
- Federated Learning and AI Regulation in the European Union: Who is Responsible? -- An Interdisciplinary Analysis
- Automata-based constraints for language model decoding
- Non-convergence of Adam and other adaptive stochastic gradient descent optimization methods for non-vanishing learning rates
- How does Burrows' Delta work on medieval Chinese poetic texts?