Papers
Tue 12 Mar 2024
334 papers
- Imitation Learning for Adaptive Video Streaming with Future Adversarial Information Bottleneck PrincipleOffline RL and imitation learning from data → Imitation learning methods
- Duwak: Dual Watermarks in Large Language ModelsLLM safety and security → Watermarking generated content and models
- Investigating the performance of Retrieval-Augmented Generation and fine-tuning for the development of AI-driven knowledge-based systemsRetrieval-augmented generation → RAG pipeline design and evaluation
- BAGEL: Bootstrapping Agents by Guiding Exploration with LanguageLLM agents and tool use → General LLM agent frameworks and benchmarks +1
- Towards Independence Criterion in Machine Unlearning of Features and LabelsLLM safety and security → Machine unlearning
- TaskCLIP: Extend Large Vision-Language Model for Task Oriented Object DetectionMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection
- CHAI: Clustered Head Attention for Efficient LLM InferenceEfficient LLM inference and serving → KV cache optimization
- Do Agents Dream of Electric Sheep?: Improving Generalization in Reinforcement Learning through Generative LearningDeep reinforcement learning methods → RL for robot locomotion and manipulation
- LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for CodeLLM reasoning → Reasoning for agents, planning and code
- Conditional computation in neural networks: principles and research trendsMixture-of-experts → MoE theory and gating functions
- AesopAgent: Agent-driven Evolutionary System on Story-to-Video ProductionLLM agents and tool use → Multimodal and embodied agents
- Rethinking Generative Large Language Model Evaluation for Semantic ComprehensionLLM reasoning → Reasoning benchmarks and evaluation
- CodeAttack: Revealing Safety Generalization Challenges of Large Language Models via Code CompletionLLM safety and security → Safety alignment, refusal and guardrails
- Bridging Different Language Models and Generative Vision Models for Text-to-Image GenerationDiffusion models → Image generation, text-to-image and editing
- Distilling the Knowledge in Data PruningKnowledge distillation → General knowledge distillation methods
- DP-TLDM: Differentially Private Tabular Latent Diffusion ModelDiffusion models → Robustness, privacy and adversarial aspects
- MoPE-CLIP: Structured Pruning for Efficient Vision-Language Models with Module-wise Pruning Error MetricMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLMLLM reasoning → Test-time compute and efficient thinking +1
- DexCap: Scalable and Portable Mocap Data Collection System for Dexterous ManipulationOffline RL and imitation learning from data → Robot manipulation imitation learning
- SemCity: Semantic Scene Generation with Triplane DiffusionDiffusion models → 3D, point cloud and scene generation
- Transforming Competition into Collaboration: The Revolutionary Role of Multi-Agent Systems and Language Models in Modern OrganizationsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Stable-Makeup: When Real-World Makeup Transfer Meets Diffusion ModelDiffusion models → Image generation, text-to-image and editing
- Synth2: Boosting Visual-Language Models with Synthetic Captions and Image EmbeddingsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Ariadne and Theseus: Exploration and Rendezvous with Two Mobile Agents in an Unknown GraphLLM agents and tool use → General LLM agent frameworks and benchmarks
- FineMath: A Fine-Grained Mathematical Evaluation Benchmark for Chinese Large Language ModelsLLM reasoning → Mathematical reasoning
- Visual Decoding and Reconstruction via EEG Embeddings with Guided DiffusionDiffusion models → Medical imaging and segmentation
- Multi-modal Auto-regressive Modeling via Visual WordsLLM reasoning → Multimodal reasoning
- WorkArena: How Capable Are Web Agents at Solving Common Knowledge Work Tasks?LLM agents and tool use → Web, search, and research agents
- StableToolBench: Towards Stable Large-Scale Benchmarking on Tool Learning of Large Language ModelsLLM agents and tool use → Tool learning and function calling
- SSM Meets Video Diffusion Models: Efficient Long-Term Video Generation with Structured State SpacesDiffusion models → Video generation +1
- Improving Reinforcement Learning from Human Feedback Using Contrastive RewardsLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF +1
- Symmetric Q-learning: Reducing Skewness of Bellman Error in Online Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
- ORPO: Monolithic Preference Optimization without Reference ModelLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Harder Tasks Need More Experts: Dynamic Routing in MoE ModelsMixture-of-experts → Expert routing strategies
- Decomposing Disease Descriptions for Enhanced Pathology Detection: A Multi-Aspect Vision-Language Pre-training FrameworkMultimodal LLMs / vision-language models → Medical vision-language models
- Efficient Knowledge Deletion from Trained Models through Layer-wise Partial Machine UnlearningLLM safety and security → Machine unlearning
- Visual Privacy Auditing with Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects
- An Improved Strategy for Blood Glucose Control Using Multi-Step Deep Reinforcement LearningDeep reinforcement learning methods → RL for clinical treatment and surgery
- D4D: An RGBD diffusion model to boost monocular depth estimationDiffusion models → 3D, point cloud and scene generation
- Constrained Optimal Fuel Consumption of HEV: A Constrained Reinforcement Learning ApproachDeep reinforcement learning methods → RL for energy, networks and operations
- Block-wise LoRA: Revisiting Fine-grained LoRA for Effective Personalization and Stylization in Text-to-Image GenerationDiffusion models → Image generation, text-to-image and editing
- Motion Mamba: Efficient and Long Sequence Motion GenerationState-space sequence models (S4, Mamba) → Video, motion and generative Mamba models
- In-context learning enables multimodal large language models to classify cancer pathology imagesMultimodal LLMs / vision-language models → Medical vision-language models
- Complex Reasoning over Logical Queries on Commonsense Knowledge GraphsLLM reasoning → Reasoning benchmarks and evaluation
- NavCoT: Boosting LLM-Based Vision-and-Language Navigation via Learning Disentangled ReasoningLLM reasoning → Spatial and embodied reasoning
- Time-Efficient and Identity-Consistent Virtual Try-On Using A Variant of Altered Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
- Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine UnlearningLLM safety and security → Machine unlearning
- Graph Unlearning with Efficient Partial RetrainingLLM safety and security → Graph unlearning
- VLKEB: A Large Vision-Language Model Knowledge Editing BenchmarkMultimodal LLMs / vision-language models → Image editing and quality assessment
- LKM-UNet: Large Kernel Vision Mamba UNet for Medical Image SegmentationState-space sequence models (S4, Mamba) → Mamba for medical image analysis
- Efficient Diffusion Model for Image Restoration by Residual ShiftingDiffusion models → Inverse problems and image restoration
- RoLD: Robot Latent Diffusion for Multi-task Policy ModelingDiffusion models → Diffusion and flow policies for robotics
- Lumen: Unleashing Versatile Vision-Centric Capabilities of Large Multimodal ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- A2PO: Towards Effective Offline Reinforcement Learning from an Advantage-aware PerspectiveOffline RL and imitation learning from data → Offline RL algorithms
- Disentangling Policy from Offline Task Representation Learning via Adversarial Data AugmentationOffline RL and imitation learning from data → Decision transformers and sequence modeling +1
- GuideGen: A Text-Guided Framework for Paired Full-torso Anatomy and CT Volume GenerationDiffusion models → Medical imaging and segmentation
- Calibrating Multi-modal Representations: A Pursuit of Group Robustness without AnnotationsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- It's All About Your Sketch: Democratising Sketch Control in Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- Tractable Joint Prediction and Planning over Discrete Behavior Modes for Urban DrivingEnd-to-end autonomous driving → Imitation-learning end-to-end planners
- Curry-DPO: Enhancing Alignment using Curriculum Learning & Ranked PreferencesLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Adaptive Gain Scheduling using Reinforcement Learning for Quadcopter ControlDeep reinforcement learning methods → RL for robot navigation and UAV control
- Text-to-Image Diffusion Models are Great Sketch-Photo MatchmakersDiffusion models → Image generation, text-to-image and editing
- WaveShot: A Compact Portable Unmanned Surface Vessel for Dynamic Water Surface Videography and Media Production
- Deep-learning-based clustering of OCT images for biomarker discovery in age-related macular degeneration (Pinnacle study report 4)
- TFCounter:Polishing Gems for Training-Free Object Counting
- Global 4D Ionospheric STEC Prediction based on DeepONet for GNSS Rays
- Stress index strategy enhanced with financial news sentiment analysis for the equity markets
- A novel interface for adversarial trivia question-writing
- Deep Generative Domain Adaptation with Temporal Attention for Cross-User Activity Recognition
- Cross-user activity recognition using deep domain adaptation with temporal relation information
- Cross-user activity recognition via temporal relation optimal transport
- Machine Learning Techniques for Sensor-based Human Activity Recognition with Data Heterogeneity -- A Review
- Agile gesture recognition for low-power applications: customisation for generalisation
- Deep Generative Domain Adaptation with Temporal Relation Knowledge for Cross-User Activity Recognition
- AI Ethics: A Bibliometric Analysis, Critical Issues, and Key Gaps
- Trust in AI: Progress, Challenges, and Future Directions
- Continual Learning by Three-Phase Consolidation
- Towards a Framework for Deep Learning Certification in Safety-Critical Applications Using Inherently Safe Design and Run-Time Error Detection
- Tree-based Learning for High-Fidelity Prediction of Chaos
- TMU at TREC Clinical Trials Track 2023
- On-Device Domain Learning for Keyword Spotting on Low-Power Extreme Edge Embedded Systems
- Robust Second-Order Nonconvex Optimization and Its Application to Low Rank Matrix Sensing
- Simulating Weighted Automata over Sequences and Trees with Transformers
- RAD-PHI2: Instruction Tuning PHI-2 for Radiology
- ClaimVer: Explainable Claim-Level Verification and Evidence Attribution of Text Through Knowledge Graphs
- Enhancing Readmission Prediction with Deep Learning: Extracting Biomedical Concepts from Clinical Texts
- A Semantic Mention Graph Augmented Model for Document-Level Event Argument Extraction
- Fine-tuning vs Prompting, Can Language Models Understand Human Values?
- Mevaker: Conclusion Extraction and Allocation Resources for the Hebrew Language
- Comprehensive Implementation of TextCNN for Enhanced Collaboration between Natural Language Processing and System Recommendation
- Enhancing Depression-Diagnosis-Oriented Chat with Psychological State Tracking
- Majority-of-Three: The Simplest Optimal Learner?
- From Paper to Card: Transforming Design Implications with Generative AI
- RoboCertProb: Property Specification for Probabilistic RoboChart Models
- Physics-Inspired Deep Learning Anti-Aliasing Framework in Efficient Channel State Feedback
- Cost-Effective Methodology for Complex Tuning Searches in HPC: Navigating Interdependencies and Dimensionality
- Q-SLAM: Quadric Representations for Monocular SLAM
- Early Directional Convergence in Deep Homogeneous Neural Networks for Small Initializations
- CMax-SLAM: Event-based Rotational-Motion Bundle Adjustment and SLAM System using Contrast Maximization
- Characterising harmful data sources when constructing multi-fidelity surrogate models
All 334
- Legally Binding but Unfair? Towards Assessing Fairness of Privacy Policies
- AI-Assisted Causal Pathway Diagram for Human-Centered Design
- VANP: Learning Where to See for Navigation with Self-Supervised Vision-Action Pre-Training
- Contextual Clarity: Generating Sentences with Transformer Models using Context-Reverso Data
- Efficient Language Model Architectures for Differentially Private Federated Learning
- Mitigating the Impact of Attribute Editing on Face Recognition
- Flow-Based Visual Stream Compression for Event Cameras
- Mechanics of Next Token Prediction with Self-Attention
- A Multimodal Intermediate Fusion Network with Manifold Learning for Stress Detection
- FluoroSAM: A Language-promptable Foundation Model for Flexible X-ray Image Segmentation
- DrivAerNet: A Parametric Car Dataset for Data-Driven Aerodynamic Design and Prediction
- Generating Clarification Questions for Disambiguating Contracts
- TutoAI: A Cross-domain Framework for AI-assisted Mixed-media Tutorial Creation on Physical Tasks
- Big City Bias: Evaluating the Impact of Metropolitan Size on Computational Job Market Abilities of Language Models
- Authorship Style Transfer with Policy Optimization
- CT evaluation of 2D and 3D holistic deep learning methods for the volumetric segmentation of airway lesions
- Low-Energy On-Device Personalization for MCUs
- A Review of Cybersecurity Incidents in the Food and Agriculture Sector
- Harnessing Artificial Intelligence to Combat Online Hate: Exploring the Challenges and Opportunities of Large Language Models in Hate Speech Detection
- LG-Traj: LLM Guided Pedestrian Trajectory Prediction
- McCatch: Scalable Microcluster Detection in Dimensional and Nondimensional Datasets
- xMLP: Revolutionizing Private Inference with Exclusive Square Activation
- MRC-Net: 6-DoF Pose Estimation with MultiScale Residual Correlation
- Learning Data Association for Multi-Object Tracking using Only Coordinates
- Red Teaming Models for Hyperspectral Image Analysis Using Explainable AI
- Aedes aegypti Egg Counting with Neural Networks for Object Detection
- Supervised Time Series Classification for Anomaly Detection in Subsea Engineering
- Gujarati-English Code-Switching Speech Recognition using ensemble prediction of spoken language
- Debatrix: Multi-dimensional Debate Judge with Iterative Chronological Analysis Based on LLM
- IndicSTR12: A Dataset for Indic Scene Text Recognition
- Leveraging LLMs for On-the-Fly Instruction Guided Image Editing
- Augmenting Efficient Real-time Surgical Instrument Segmentation in Video with Point Tracking and Segment Anything
- Towards a clinically accessible radiology foundation model: open-access and lightweight, with automated evaluation
- Motifs, Phrases, and Beyond: The Modelling of Structure in Symbolic Music Generation
- KnowCoder: Coding Structured Knowledge into LLMs for Universal Information Extraction
- Do Deep Neural Network Solutions Form a Star Domain?
- Feasibility of machine learning-based rice yield prediction in India at the district level using climate reanalysis data
- Applying ranking techniques for estimating influence of Earth variables on temperature forecast error
- Optimal Design and Implementation of an Open-source Emulation Platform for User-Centric Shared E-mobility Services
- Unsupervised self-organising map of prostate cell Raman spectra shows disease-state subclustering
- An Interpretable Generalization Mechanism for Accurately Detecting Anomaly and Identifying Networking Intrusion Techniques
- Temporal Decisions: Leveraging Temporal Correlation for Efficient Decisions in Early Exit Neural Networks
- Efficient Post-Training Augmentation for Adaptive Inference in Heterogeneous and Distributed IoT Environments
- DeepCDCL: An CDCL-based Neural Network Verification Framework
- Towards Faithful Explanations: Boosting Rationalization with Shortcuts Discovery
- Optimizing Polynomial Graph Filters: A Novel Adaptive Krylov Subspace Approach
- Enabling Unstructured Sparse Acceleration on Structured Sparse Accelerators
- SAMDA: Leveraging SAM on Few-Shot Domain Adaptation for Electronic Microscopy Segmentation
- Beyond Text: Frozen Large Language Models in Visual Signal Comprehension
- TeleMoMa: A Modular and Versatile Teleoperation System for Mobile Manipulation
- Low coordinate degree algorithms I: Universality of computational thresholds for hypothesis testing
- Fairness Feedback Loops: Training on Synthetic Data Amplifies Bias
- Quantum Support Vector Machine for Prostate Cancer Detection: A Performance Analysis
- 12 mJ per Class On-Device Online Few-Shot Class-Incremental Learning
- Iterative Graph Neural Network Enhancement via Frequent Subgraph Mining of Explanations
- A Machine learning and Empirical Bayesian Approach for Predictive Buying in B2B E-commerce
- When Eye-Tracking Meets Machine Learning: A Systematic Review on Applications in Medical Image Analysis
- Efficiently Quantifying and Mitigating Ripple Effects in Model Editing
- Fusing Climate Data Products using a Spatially Varying Autoencoder
- Label Dropout: Improved Deep Learning Echocardiography Segmentation Using Multiple Datasets With Domain Shift and Partial Labelling
- Chronos: Learning the Language of Time Series
- pyvene: A Library for Understanding and Improving PyTorch Models via Interventions
- StyleGaussian: Instant 3D Style Transfer with Gaussian Splatting
- Beyond Memorization: The Challenge of Random Memory Access in Language Models
- Boosting keyword spotting through on-device learnable user speech characteristics
- BraSyn 2023 challenge: Missing MRI synthesis and the effect of different learning objectives
- A Fourier Transform Framework for Domain Adaptation
- Joint Selection: Adaptively Incorporating Public Information for Private Synthetic Data
- Fine-tuning Large Language Models with Sequential Instructions
- Physics-informed generative real-time lens-free imaging
- FairRR: Pre-Processing for Group Fairness through Randomized Response
- Beyond the Labels: Unveiling Text-Dependency in Paralinguistic Speech Recognition Datasets
- Vision-based Vehicle Re-identification in Bridge Scenario using Flock Similarity
- Unleashing HyDRa: Hybrid Fusion, Depth Consistency and Radar for Unified 3D Perception
- Probabilistic Easy Variational Causal Effect
- Equipping Computational Pathology Systems with Artifact Processing Pipelines: A Showcase for Computation and Performance Trade-offs
- Uncertainty Quantification with Deep Ensembles for 6D Object Pose Estimation
- The Minimax Rate of HSIC Estimation for Translation-Invariant Kernels
- Beyond Pixels: Enhancing LIME with Hierarchical Features and Segmentation Foundation Models
- CAP: A General Algorithm for Online Selective Conformal Prediction with FCR Control
- SemEval-2024 Shared Task 6: SHROOM, a Shared-task on Hallucinations and Related Observable Overgeneration Mistakes
- Balancing Fairness and Accuracy in Data-Restricted Binary Classification
- On the Last-Iterate Convergence of Shuffling Gradient Methods
- Dynamic Graph Representation with Knowledge-aware Attention for Histopathology Whole Slide Image Analysis
- Intra-video Positive Pairs in Self-Supervised Learning for Ultrasound
- Fast and Simple Explainability for Point Cloud Networks
- Robust Synthetic-to-Real Transfer for Stereo Matching
- CuVLER: Enhanced Unsupervised Object Discoveries through Exhaustive Self-Supervised Transformers
- Large, Small or Both: A Novel Data Augmentation Framework Based on Language Models for Debiasing Opinion Summarization
- Masked AutoDecoder is Effective Multi-Task Vision Generalist
- SATDAUG -- A Balanced and Augmented Dataset for Detecting Self-Admitted Technical Debt
- Maxwell's Demon at Work: Efficient Pruning by Leveraging Saturation of Neurons
- Annotations on a Budget: Leveraging Geo-Data Similarity to Balance Model Performance and Annotation Cost
- Genuine Knowledge from Practice: Diffusion Test-Time Adaptation for Video Adverse Weather Removal
- MoralBERT: A Fine-Tuned Language Model for Capturing Moral Values in Social Discussions
- Machine Learning for Soccer Match Result Prediction
- Scalable Spatiotemporal Prediction with Bayesian Neural Fields
- Characterization of Large Language Model Development in the Datacenter
- CardioGenAI: A Machine Learning-Based Framework for Re-Engineering Drugs for Reduced hERG Liability
- Hunting Attributes: Context Prototype-Aware Learning for Weakly Supervised Semantic Segmentation
- generAItor: Tree-in-the-Loop Text Generation for Language Model Explainability and Adaptation
- Multiple Latent Space Mapping for Compressed Dark Image Enhancement
- Smartphone region-wise image indoor localization using deep learning for indoor tourist attraction
- Couler: Unified Machine Learning Workflow Optimization in Cloud
- Optimizing Negative Prompts for Enhanced Aesthetics and Fidelity in Text-To-Image Generation
- ProPML: Probability Partial Multi-label Learning
- Unified Source-Free Domain Adaptation
- Mondrian: On-Device High-Performance Video Analytics with Compressive Packed Inference
- MinkUNeXt: Point Cloud-based Large-scale Place Recognition using 3D Sparse Convolutions
- Accurate Spatial Gene Expression Prediction by integrating Multi-resolution features
- Robustifying and Boosting Training-Free Neural Architecture Search
- PeLK: Parameter-efficient Large Kernel ConvNets with Peripheral Convolution
- Perennial Semantic Data Terms of Use for Decentralized Web
- Federated Learning of Socially Appropriate Agent Behaviours in Simulated Home Environments
- Communication Optimization for Distributed Training: Architecture, Advances, and Opportunities
- LLMvsSmall Model? Large Language Model Based Text Augmentation Enhanced Personality Detection Model
- AACP: Aesthetics assessment of children's paintings based on self-supervised learning
- Fine-grained Prompt Tuning: A Parameter and Memory Efficient Transfer Learning Method for High-resolution Medical Image Classification
- Towards a Dynamic Future with Adaptable Computing and Network Convergence (ACNC)
- An Active Contour Model Driven By the Hybrid Signed Pressure Function
- Exploring Challenges in Deep Learning of Single-Station Ground Motion Records
- Triples-to-isiXhosa (T2X): Addressing the Challenges of Low-Resource Agglutinative Data-to-Text Generation
- RSBuilding: Towards General Remote Sensing Image Building Extraction and Change Detection with Foundation Model
- Learning Generalizable Feature Fields for Mobile Manipulation
- A Flexible Cell Classification for ML Projects in Jupyter Notebooks
- Unleashing Network Potentials for Semantic Scene Completion
- Ensembling Prioritized Hybrid Policies for Multi-agent Pathfinding
- SIFiD: Reassess Summary Factual Inconsistency Detection with LLM
- Truth-Aware Context Selection: Mitigating Hallucinations of Large Language Models Being Misled by Untruthful Contexts
- The future of document indexing: GPT and Donut revolutionize table of content processing
- Online Continual Learning For Interactive Instruction Following Agents
- SMURF: Continuous Dynamics for Motion-Deblurring Radiance Fields
- MAMMOTH: Massively Multilingual Modular Open Translation @ Helsinki
- A Survey of Vision Transformers in Autonomous Driving: Current Trends and Future Directions
- WannaLaugh: A Configurable Ransomware Emulator -- Learning to Mimic Malicious Storage Traces
- LaB-GATr: geometric algebra transformers for large biomedical surface and volume meshes
- Adaptive Fusion of Single-View and Multi-View Depth for Autonomous Driving
- Open-World Semantic Segmentation Including Class Similarity
- Discovering High-Strength Alloys via Physics-Transfer Learning
- Open-Vocabulary Scene Text Recognition via Pseudo-Image Labeling and Margin Loss
- Uncertainty-guided Contrastive Learning for Single Source Domain Generalisation
- Spatiotemporal Representation Learning for Short and Long Medical Image Time Series
- Relevance Score: A Landmark-Like Heuristic for Planning
- MoAI: Mixture of All Intelligence for Large Language and Vision Models
- Reconstructions of Jupiter's magnetic field using physics informed neural networks
- Detecting Security-Relevant Methods using Multi-label Machine Learning
- Tuning diagonal scale matrices for HMC
- SemGauss-SLAM: Dense Semantic Gaussian Splatting SLAM
- Signed graphs in data sciences via communicability geometry
- XpertAI: uncovering regression model strategies for sub-manifolds
- PMBO: Enhancing Black-Box Optimization through Multivariate Polynomial Surrogates
- DiabetesNet: A Deep Learning Approach to Diabetes Diagnosis
- Towards Graph Foundation Models for Personalization
- Imbalance-aware Presence-only Loss Function for Species Distribution Modeling
- On the Nonconvexity of Push-Forward Constraints and Its Consequences in Machine Learning
- A Comprehensive Survey of 3D Dense Captioning: Localizing and Describing Objects in 3D Scenes
- One for All and All for One: GNN-based Control-Flow Attestation for Embedded Devices
- On Ranking-based Tests of Independence
- Backdoor Attack with Mode Mixture Latent Modification
- Experimental Comparison of Ensemble Methods and Time-to-Event Analysis Models Through Integrated Brier Score and Concordance Index
- A tutorial on multi-view autoencoders using the multi-view-AE library
- Fast, accurate and lightweight sequential simulation-based inference using Gaussian locally linear mappings
- Ab-initio variational wave functions for the time-dependent many-electron Schr"odinger equation
- Proxy Methods for Domain Adaptation
- Matrix-Transformation Based Low-Rank Adaptation (MTLoRA): A Brain-Inspired Method for Parameter-Efficient Fine-Tuning
- Category-Agnostic Pose Estimation for Point Clouds
- JSTR: Joint Spatio-Temporal Reasoning for Event-based Moving Object Detection
- DALSA: Domain Adaptation for Supervised Learning From Sparsely Annotated MR Images
- Bring Event into RGB and LiDAR: Hierarchical Visual-Motion Fusion for Scene Flow
- Knowledge Transfer across Multiple Principal Component Analysis Studies
- Input Data Adaptive Learning (IDAL) for Sub-acute Ischemic Stroke Lesion Segmentation
- DragAnything: Motion Control for Anything using Entity Representation
- Learning-Augmented Algorithms with Explicit Predictors
- NightHaze: Nighttime Image Dehazing via Self-Prior Learning
- FeTrIL++: Feature Translation for Exemplar-Free Class-Incremental Learning with Hill-Climbing
- Improving Continual Learning Performance and Efficiency with Auxiliary Classifiers
- From Canteen Food to Daily Meals: Generalizing Food Recognition to More Practical Scenarios
- ViT-CoMer: Vision Transformer with Convolutional Multi-scale Feature Interaction for Dense Predictions
- Learning Correction Errors via Frequency-Self Attention for Blind Image Super-Resolution
- Auxiliary CycleGAN-guidance for Task-Aware Domain Translation from Duplex to Monoplex IHC Images
- SmallToLarge (S2L): Scalable Data Selection for Fine-tuning Large Language Models by Summarizing Training Trajectories of Small Models
- Gabor-guided transformer for single image deraining
- Hallmarks of Optimization Trajectories in Neural Networks: Directional Exploration and Redundancy
- SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression
- Eliminating Cross-modal Conflicts in BEV Space for LiDAR-Camera 3D Object Detection
- Textual Knowledge Matters: Cross-Modality Co-Teaching for Generalized Visual Class Discovery
- Entropy is not Enough for Test-Time Adaptation: From the Perspective of Disentangled Factors
- A New Random Forest Ensemble of Intuitionistic Fuzzy Decision Trees
- FSC: Few-point Shape Completion
- Premonition: Using Generative Models to Preempt Future Data Changes in Continual Learning
- Vector Quantization for Deep-Learning-Based CSI Feedback in Massive MIMO Systems
- BID: Boundary-Interior Decoding for Unsupervised Temporal Action Localization Pre-Trainin
- Frequency Decoupling for Motion Magnification via Multi-Level Isomorphic Architecture
- Complementing Event Streams and RGB Frames for Hand Mesh Reconstruction
- Rethinking ASTE: A Minimalist Tagging Scheme Alongside Contrastive Learning
- IM-Unpack: Training and Inference with Arbitrarily Low Precision Integers
- Unknown Domain Inconsistency Minimization for Domain Generalization
- SGE: Structured Light System Based on Gray Code with an Event Camera
- A Question-centric Multi-experts Contrastive Learning Framework for Improving the Accuracy and Interpretability of Deep Sequential Knowledge Tracing Models
- GPT-generated Text Detection: Benchmark Dataset and Tensor-based Detection Method
- Approaching Rate-Distortion Limits in Neural Compression with Lattice Transform Coding
- Customizable Avatars with Dynamic Facial Action Coded Expressions (CADyFACE) for Improved User Engagement
- Knowledge Graph Large Language Model (KG-LLM) for Link Prediction
- How does promoting the minority fraction affect generalization? A theoretical study of the one-hidden-layer neural network on group imbalance
- Reinforced Sequential Decision-Making for Sepsis Treatment: The POSNEGDM Framework with Mortality Classifier and Transformer
- Verification-Aided Learning of Neural Network Barrier Functions with Termination Guarantees
- Dynamic U-Net: Adaptively Calibrate Features for Abdominal Multi-organ Segmentation
- Let Storytelling Tell Vivid Stories: An Expressive and Fluent Multimodal Storyteller
- CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuning
- Advancements in Continuous Glucose Monitoring: Integrating Deep Learning and ECG Signal
- Graph Data Condensation via Self-expressive Graph Structure Reconstruction
- Continual All-in-One Adverse Weather Removal with Knowledge Replay on a Unified Network Structure
- Learning Hierarchical Color Guidance for Depth Map Super-Resolution
- Rediscovering BCE Loss for Uniform Classification
- MENTOR: Multilingual tExt detectioN TOward leaRning by analogy
- SparseLIF: High-Performance Sparse LiDAR-Camera Fusion for 3D Object Detection
- A Framework for Cost-Effective and Self-Adaptive LLM Shaking and Recovery Mechanism
- Enhancing Transfer Learning with Flexible Nonparametric Posterior Sampling
- A Survey of Explainable Knowledge Tracing
- A Bayesian Approach to OOD Robustness in Image Classification
- Anderson acceleration for iteratively reweighted ℓ1 algorithm
- Near-Interpolators: Rapid Norm Growth and the Trade-Off between Interpolation and Generalization
- Adaptive Bounding Box Uncertainties via Two-Step Conformal Prediction
- LaERC-S: Improving LLM-based Emotion Recognition in Conversation with Speaker Characteristics
- Deep Learning-Assisted Parallel Interference Cancellation for Grant-Free NOMA in Machine-Type Communication
- Towards Zero-shot Human-Object Interaction Detection via Vision-Language Integration
- Dataset Condensation for Time Series Classification via Dual Domain Matching
- Time-Efficient Light-Field Acquisition Using Coded Aperture and Events
- Frequency-Aware Deepfake Detection: Improving Generalizability through Frequency Space Learning
- Learn and Search: An Elegant Technique for Object Lookup using Contrastive Learning
- You'll Never Walk Alone: A Sketch and Text Duet for Fine-Grained Image Retrieval
- LookupFFN: Making Transformers Compute-lite for CPU inference
- Monocular Microscope to CT Registration using Pose Estimation of the Incus for Augmented Reality Cochlear Implant Surgery
- SoK: Can Trajectory Generation Combine Privacy and Utility?