Papers
Mon 1 Apr 2024
286 papers
- Exploring LLM Multi-Agents for ICD CodingLLM agents and tool use → Medical and scientific domain agents
- Stream of Search (SoS): Learning to Search in LanguageLLM reasoning → Test-time compute and efficient thinking
- Versatile Navigation under Partial Observability via Value-guided Diffusion PolicyDiffusion models → Diffusion and flow policies for robotics
- QuAD: Query-based Interpretable Neural Motion Planning for Autonomous DrivingEnd-to-end autonomous driving → End-to-end system architecture
- TraveLER: A Modular Multi-LMM Agent Framework for Video Question-AnsweringMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Game-Theoretic Deep Reinforcement Learning to Minimize Carbon Emissions and Energy Costs for AI Inference Workloads in Geo-Distributed Data CentersDeep reinforcement learning methods → RL for energy, networks and operations
- Prior Frequency Guided Diffusion Model for Limited Angle (LA)-CBCT ReconstructionDiffusion models → Medical imaging and segmentation
- DPMesh: Exploiting Diffusion Prior for Occluded Human Mesh RecoveryDiffusion models → 3D, point cloud and scene generation
- Is Model Collapse Inevitable? Breaking the Curse of Recursion by Accumulating Real and Synthetic DataSynthetic data and self-improvement for LLMs → Model collapse from synthetic data
- Bigger is not Always Better: Scaling Properties of Latent Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- Prompt-prompted Adaptive Structured Pruning for Efficient LLM GenerationMixture-of-experts → MoE large language models
- Efficiently Distilling LLMs for Edge ApplicationsKnowledge distillation → General knowledge distillation methods
- CausalChaos! Dataset for Comprehensive Causal Action Question Answering Over Longer Causal Chains Grounded in Dynamic Visual ScenesLLM reasoning → Multimodal reasoning
- Measuring Style Similarity in Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- Direct Preference Optimization of Video Large Multimodal Models from Language Model RewardMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
- A Statistical Framework of Watermarks for Large Language Models: Pivot, Detection Efficiency and Optimal RulesLLM safety and security → Watermarking generated content and models
- StructLDM: Structured Latent Diffusion for 3D Human GenerationDiffusion models → 3D, point cloud and scene generation
- LLM as a Mastermind: A Survey of Strategic Reasoning with Large Language ModelsLLM reasoning → Reasoning for agents, planning and code
- Stable Code Technical ReportLLM reasoning → Reasoning for agents, planning and code
- Entity-Centric Reinforcement Learning for Object Manipulation from PixelsDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Vision-language models for decoding provider attention during neonatal resuscitationMultimodal LLMs / vision-language models → Medical vision-language models
- Machine Unlearning for Traditional Models and Large Language Models: A Short SurveyLLM safety and security → Machine unlearning
- Video Interpolation with Diffusion ModelsDiffusion models → Video generation
- SpikeMba: Multi-Modal Spiking Saliency Mamba for Temporal Video GroundingState-space sequence models (S4, Mamba) → Video, motion and generative Mamba models
- LITE: Modeling Environmental Ecosystems with Multimodal Large Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- SyncMask: Synchronized Attentional Masking for Fashion-centric Vision-Language PretrainingMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Uncovering the Text Embedding in Text-to-Image Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- Enhancing Reasoning Capacity of SLM using Cognitive EnhancementLLM reasoning → Reasoning benchmarks and evaluation
- GOV-REK: Governed Reward Engineering Kernels for Designing Robust Multi-Agent Reinforcement Learning SystemsLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- UFID: A Unified Framework for Input-level Backdoor Detection on Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects +1
- What is in Your Safe Data? Identifying Benign Data that Breaks SafetyLLM safety and security → Safety alignment, refusal and guardrails
- Texture-Preserving Diffusion Models for High-Fidelity Virtual Try-OnDiffusion models → 3D, point cloud and scene generation
- AILS-NTUA at SemEval-2024 Task 9: Cracking Brain Teasers: Transformer Models for Lateral Thinking PuzzlesLLM reasoning → Prompting and chain-of-thought reasoning
- Stale Diffusion: Hyper-realistic 5D Movie Generation Using Old-school MethodsDiffusion models → Video generation
- Exploring the Mystery of Influential Data for Mathematical ReasoningLLM reasoning → Mathematical reasoning
- T-Mamba: A unified framework with Long-Range Dependency in dual-domain for 2D & 3D Tooth SegmentationState-space sequence models (S4, Mamba) → Mamba for medical image analysis
- Regularized Best-of-N Sampling with Minimum Bayes Risk Objective for Language Model AlignmentLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- ARAGOG: Advanced RAG Output GradingRetrieval-augmented generation → RAG pipeline design and evaluation
- Large Language Model Evaluation Via Multi AI Agents: Preliminary resultsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Prior Constraints-based Reward Model Training for Aligning Large Language ModelsLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Distributional Priors Guided Diffusion for Generating 3D Molecules in Low Data RegimesDiffusion models → Flow matching, time series and science
- Sequential Decision-Making under Uncertainty: A Robust MDPs reviewDeep reinforcement learning methods → RL theory and sample complexity
- A Comprehensive Review of Knowledge Distillation in Computer VisionKnowledge distillation → General knowledge distillation methods
- ChatGLM-RLHF: Practices of Aligning Large Language Models with Human FeedbackLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- GOV-NeSF: Generalizable Open-Vocabulary Neural Semantic FieldsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Towards Memorization-Free Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- Learning by Correction: Efficient Tuning Task for Zero-Shot Generative Vision-Language ReasoningLLM reasoning → Multimodal reasoning +1
- From Pixels to Graphs: Open-Vocabulary Scene Graph Generation with Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- MTLight: Efficient Multi-Task Reinforcement Learning for Traffic Signal ControlDeep reinforcement learning methods → RL for autonomous driving and traffic
- Model-Agnostic Human Preference Inversion in Diffusion ModelsDiffusion models → Diffusion and flow policies for robotics
- Lipsum-FT: Robust Fine-Tuning of Zero-Shot Models Using Random Text GuidanceMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Prompt Learning via Meta-RegularizationMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Privacy-Aware Spectrum Pricing and Power Control Optimization for LEO Satellite Internet-of-Things
- Mixing Paint: An analysis of color value transformations in multiple coordinate spaces using multivariate linear regression
- Diverse Perspectives, Divergent Models: Cross-Cultural Evaluation of Depression Detection on Twitter
- Closed-loop Teaching via Demonstrations to Improve Policy Transparency
- Accurate Patient Alignment without Unnecessary Imaging Dose via Synthesizing Patient-specific 3D CT Images from 2D kV Images
- BloodCell-Net: A lightweight convolutional neural network for the classification of all microscopic blood cell images of the human body
- Open-Vocabulary Object Detectors: Robustness Challenges under Distribution Shifts
- YOLOv5 vs. YOLOv8 in Marine Fisheries: Balancing Class Detection and Instance Count
- Rapid Mobile App Development for Generative AI Agents on MIT App Inventor
- Forklift: An Extensible Neural Lifter
- Automated Assessment of Encouragement and Warmth in Classrooms Leveraging Multimodal Emotional Features and ChatGPT
- Sparse Bayesian Correntropy Learning for Robust Muscle Activity Reconstruction from Noisy Brain Recordings
- Data-Driven Knowledge Transfer in Batch Q^* Learning
- DRIVE: Dual Gradient-Based Rapid Iterative Pruning
- Securing Social Spaces: Harnessing Deep Learning to Eradicate Cyberbullying
- Cooperative Evolutionary Pressure and Diminishing Returns Might Explain the Fermi Paradox: On What Super-AIs Are Like
- Log-PDE Methods for Rough Signature Kernels
- Exploring Quantum-Enhanced Machine Learning for Computer Vision: Applications and Insights on Noisy Intermediate-Scale Quantum Devices
- Symmetries, Scaling Laws and Phase Transitions in Consumer Advertising Response
- Bounds of Block Rewards in Honest PinFi Systems
- What is Point Supervision Worth in Video Instance Segmentation?
- BERT-Enhanced Retrieval Tool for Homework Plagiarism Detection System
- Set-Aligning Framework for Auto-Regressive Event Temporal Graph Generation
- ML KPI Prediction in 5G and B5G Networks
- Categorical semiotics: Foundations for Knowledge Integration
- On Train-Test Class Overlap and Detection for Image Retrieval
- Fair MP-BOOST: Fair and Interpretable Minipatch Boosting
- Temporally Consistent Unbalanced Optimal Transport for Unsupervised Action Segmentation
- Addressing Heterogeneity in Federated Load Forecasting with Personalization Layers
- Can Biases in ImageNet Models Explain Generalization?
- Some Orders Are Important: Partially Preserving Orders in Top-Quality Planning
- MosquitoFusion: A Multiclass Dataset for Real-Time Detection of Mosquitoes, Swarms, and Breeding Sites Using Deep Learning
- Modality Translation for Object Detection Adaptation Without Forgetting Prior Knowledge
- SUGAR: Pre-training 3D Visual Representations for Robotics
- AAdaM at SemEval-2024 Task 1: Augmentation and Adaptation for Multilingual Semantic Textual Relatedness
- Explainable AI Integrated Feature Engineering for Wildfire Prediction
- A Study on Scaling Up Multilingual News Framing Analysis
- Are large language models superhuman chemists?
- Finding Replicable Human Evaluations via Stable Ranking Probability
- TS-CausalNN: Learning Temporal Causal Relations from Non-linear Non-stationary Time Series Data
- Data-Efficient Unsupervised Interpolation Without Any Intermediate Frame for 4D Medical Images
- OpenChemIE: An Information Extraction Toolkit For Chemistry Literature
- Will the Real Linda Please Stand up...to Large Language Models? Examining the Representativeness Heuristic in LLMs
- Unveiling Divergent Inductive Biases of LLMs on Temporal Data
- Finding Regions of Interest in Whole Slide Images Using Multiple Instance Learning
- Enterprise Use Cases Combining Knowledge Graphs and Natural Language Processing
- Neural Implicit Representation for Building Digital Twins of Unknown Articulated Objects
- Creating emoji lexica from unsupervised sentiment analysis of their descriptions
All 286
- Generation and Detection of Sign Language Deepfakes - A Linguistic and Visual Analysis
- The Radar Ghost Dataset -- An Evaluation of Ghost Objects in Automotive Radar Data
- Convergence Guarantees for RMSProp and Adam in Generalized-smooth Non-convex Optimization with Affine Noise Variance
- Position-Aware Parameter Efficient Fine-Tuning Approach for Reducing Positional Bias in LLMs
- On the Faithfulness of Vision Transformer Explanations
- OVFoodSeg: Elevating Open-Vocabulary Food Image Segmentation via Image-Informed Textual Representation
- ContactHandover: Contact-Guided Robot-to-Human Object Handover
- Developing Safe and Responsible Large Language Model : Can We Balance Bias Reduction and Language Understanding in Large Language Models?
- Object-conditioned Bag of Instances for Few-Shot Personalized Instance Recognition
- Information Plane Analysis Visualization in Deep Learning via Transfer Entropy
- AIOps Solutions for Incident Management: Technical Guidelines and A Comprehensive Literature Review
- LLM Attributor: Interactive Visual Attribution for LLM Generation
- Deep learning phase recovery: data-driven, physics-driven, or combining both?
- Parallel Proportional Fusion of Spiking Quantum Neural Network for Optimizing Image Classification
- Utilizing AI and Social Media Analytics to Discover Adverse Side Effects of GLP-1 Receptor Agonists
- Perturbation Effects on Robustness and Individual Fairness
- VortexViz: Finding Vortex Boundaries by Learning from Particle Trajectories
- AETTA: Label-Free Accuracy Estimation for Test-Time Adaptation
- NeRF-MAE: Masked AutoEncoders for Self-Supervised 3D Representation Learning for Neural Radiance Fields
- Noise2Image: Noise-Enabled Static Scene Recovery for Event Cameras
- Streaming Dense Video Captioning
- MagicMirror: Fast and High-Quality Avatar Generation with a Constrained Search Space
- Towards Safety and Helpfulness Balanced Responses via Controllable Large Language Models
- CosmicMan: A Text-to-Image Foundation Model for Humans
- Evaluating Text-to-Visual Generation with Image-to-Text Generation
- Large Language Models are Capable of Offering Cognitive Reappraisal, if Guided
- Large Motion Model for Unified Multi-Modal Motion Generation
- LoSA: Long-Short-range Adapter for Scaling End-to-End Temporal Action Localization
- BiPer: Binary Neural Networks using a Periodic Function
- TWIN-GPT: Digital Twins for Clinical Trials via Large Language Model
- Language Guided Domain Generalized Medical Image Segmentation
- Decentralized Collaborative Learning Framework with External Privacy Leakage Analysis
- Mapping the Increasing Use of LLMs in Scientific Papers
- IsoBench: Benchmarking Multimodal Foundation Models on Isomorphic Representations
- Artificial Intelligence and the Spatial Documentation of Languages
- FABLES: Evaluating faithfulness and content selection in book-length summarization
- Bridging Remote Sensors with Multisensor Geospatial Foundation Models
- New logarithmic step size for stochastic gradient descent
- UniArk: Improving Generalisation and Consistency for Factual Knowledge Extraction through Debiasing
- FireANTs: Adaptive Riemannian Optimization for Multi-Scale Diffeomorphic Matching
- Scalable Scene Modeling from Perspective Imaging: Physics-based Appearance and Geometry Inference
- An image speaks a thousand words, but can everyone listen? On image transcreation for cultural relevance
- A Unified and Interpretable Emotion Representation and Expression Generation
- Effectively Prompting Small-sized Language Models for Cross-lingual Tasks via Winning Tickets
- AURORA: Navigating UI Tarpits via Automated Neural Screen Understanding
- GFLean: An Autoformalisation Framework for Lean via GF
- Optimal Ridge Regularization for Out-of-Distribution Prediction
- Open-Vocabulary Federated Learning with Multimodal Prototyping
- Privacy Backdoors: Enhancing Membership Inference through Poisoning Pre-trained Models
- SurMo: Surface-based 4D Motion Modeling for Dynamic Human Rendering
- Collaborative Pareto Set Learning in Multiple Multi-Objective Optimization Problems
- Feature Splatting: Language-Driven Physics-Based Scene Synthesis and Editing
- Towards System Modelling to Support Diseases Data Extraction from the Electronic Health Records for Physicians Research Activities
- Incorporating Domain Differential Equations into Graph Convolutional Networks to Lower Generalization Discrepancy
- Novel Node Category Detection Under Subpopulation Shift
- AILS-NTUA at SemEval-2024 Task 6: Efficient model tuning for hallucination detection and analysis
- The Fine Line: Navigating Large Language Model Pretraining with Down-streaming Capability Analysis
- Large-Scale Non-convex Stochastic Constrained Distributionally Robust Optimization
- Nearly-tight Approximation Guarantees for the Improving Multi-Armed Bandits Problem
- Getting it Right: Improving Spatial Consistency in Text-to-Image Models
- Estimating Lexical Complexity from Document-Level Distributions
- Adaptive Query Prompting for Multi-Domain Landmark Detection
- iMD4GC: Incomplete Multimodal Data Integration to Advance Precise Treatment Response Prediction and Survival Analysis for Gastric Cancer
- Generating Faithful and Complete Hospital-Course Summaries from the Electronic Health Record
- MonoBox: Tightness-free Box-supervised Polyp Segmentation using Monotonicity Constraint
- Efficient Motion Planning for Manipulators with Control Barrier Function-Induced Neural Controller
- A Neuro-Symbolic Approach to Monitoring Salt Content in Food
- BEM: Balanced and Entropy-based Mix for Long-Tailed Semi-Supervised Learning
- Mirror-3DGS: Incorporating Mirror Reflections into 3D Gaussian Splatting
- Capturing Shock Waves by Relaxation Neural Networks
- Diagnosis of Skin Cancer Using VGG16 and VGG19 Based Transfer Learning Models
- Dialogue with Robots: Proposals for Broadening Participation and Research in the SLIVAR Community
- Green AI: Exploring Carbon Footprints, Mitigation Strategies, and Trade Offs in Large Language Model Training
- TransFusion: Covariate-Shift Robust Transfer Learning for High-Dimensional Regression
- Detect2Interact: Localizing Object Key Field in Visual Question Answering (VQA) with LLMs
- Do LLMs Find Human Answers To Fact-Driven Questions Perplexing? A Case Study on Reddit
- Sequential-in-time training of nonlinear parametrizations for solving time-dependent partial differential equations
- Condition-Aware Neural Network for Controlled Image Generation
- SoK: A Review of Differentially Private Linear Models For High-Dimensional Data
- KoCoNovel: Annotated Dataset of Character Coreference in Korean Novels
- Structured Initialization for Attention in Vision Transformers
- CityGaussian: Real-time High-quality Large-Scale Scene Rendering with Gaussians
- Emphasising Structured Information: Integrating Abstract Meaning Representation into LLMs for Enhanced Open-Domain Dialogue Evaluation
- Medical Visual Prompting (MVP): A Unified Framework for Versatile and High-Quality Medical Image Segmentation
- CLIPtone: Unsupervised Learning for Text-based Image Tone Adjustment
- Enhanced Precision in Rainfall Forecasting for Mumbai: Utilizing Physics Informed ConvLSTM2D Models for Finer Spatial and Temporal Resolution
- CMT: Cross Modulation Transformer with Hybrid Loss for Pansharpening
- Motion Blur Decomposition with Cross-shutter Guidance
- Few-shot point cloud reconstruction and denoising via learned Guassian splats renderings and fine-tuned diffusion features
- The Rate-Distortion-Perception Trade-off: The Role of Private Randomness
- An incremental hybrid adaptive network-based IDS in Software Defined Networks to detect stealth attacks
- SentiCSE: A Sentiment-aware Contrastive Sentence Embedding Framework with Sentiment-guided Textual Similarity
- Diffusion based Zero-shot Medical Image-to-Image Translation for Cross Modality Segmentation
- Finite Sample Frequency Domain Identification
- HairFastGAN: Realistic and Robust Hair Transfer with a Fast Encoder-Based Approach
- PhysReaction: Physically Plausible Real-Time Humanoid Reaction Synthesis via Forward Dynamics Guided 4D Imitation
- Energy-Based Model for Accurate Estimation of Shapley Values in Feature Attribution
- Efficient Prompting Methods for Large Language Models: A Survey
- Prompt Learning for Oriented Power Transmission Tower Detection in High-Resolution SAR Images
- Advancing AI with Integrity: Ethical Challenges and Solutions in Neural Machine Translation
- Roadside Monocular 3D Detection Prompted by 2D Detection
- A comparison of Single- and Double-generator formalisms for Thermodynamics-Informed Neural Networks
- A Novel Audio Representation for Music Genre Identification in MIR
- HAHA: Highly Articulated Gaussian Human Avatars with Textured Mesh Prior
- Action Detection via an Image Diffusion Process
- Drag Your Noise: Interactive Point-based Editing via Diffusion Semantic Propagation
- A Novel Sector-Based Algorithm for an Optimized Star-Galaxy Classification
- Can LLMs get help from other LLMs without revealing private information?
- A Survey on Hypergraph Neural Networks: An In-Depth and Step-By-Step Guide
- Higher education assessment practice in the era of generative AI tools
- Survey of Bias In Text-to-Image Generation: Definition, Evaluation, and Mitigation
- Verifying Claims About Metaphors with Large-Scale Automatic Metaphor Identification
- AIGCOIQA2024: Perceptual Quality Assessment of AI Generated Omnidirectional Images
- Source-Aware Training Enables Knowledge Attribution in Language Models
- PairEval: Open-domain Dialogue Evaluation with Pairwise Comparison
- Harnessing Large Language Models for Training-free Video Anomaly Detection
- Teeth-SEG: An Efficient Instance Segmentation Framework for Orthodontic Treatment based on Anthropic Prior Knowledge
- Query Performance Prediction using Relevance Judgments Generated by Large Language Models
- Constructing and Expanding Low-Resource and Underrepresented Parallel Datasets for Indonesian Local Languages
- What Causes the Failure of Explicit to Implicit Discourse Relation Recognition?
- LLM-RadJudge: Achieving Radiologist-Level Evaluation for X-Ray Report Generation
- PosterLlama: Bridging Design Ability of Langauge Model to Contents-Aware Layout Generation
- AMOR: Ambiguous Authorship Order
- SGCNeRF: Few-Shot Neural Rendering via Sparse Geometric Consistency Guidance
- Exploring the Nexus of Large Language Models and Legal Systems: A Short Survey
- 360+x: A Panoptic Multi-modal Scene Understanding Dataset
- FlexiDreamer: Single Image-to-3D Generation with FlexiCubes
- Make Continual Learning Stronger via C-Flat
- Continual Learning for Smart City: A Survey
- CAMO: Correlation-Aware Mask Optimization with Modulated Reinforcement Learning
- PDF: A Probability-Driven Framework for Open World 3D Point Cloud Semantic Segmentation
- Nonlinear dynamical social and political prediction algorithm for city planning and public participation using the Impulse Pattern Formulation
- Improving Visual Recognition with Hyperbolical Visual Hierarchy Mapping
- VideoDistill: Language-aware Vision Distillation for Video Question Answering
- Beyond Functional Correctness: Exploring Hallucinations in LLM-Generated Code
- S2RC-GCN: A Spatial-Spectral Reliable Contrastive Graph Convolutional Network for Complex Land Cover Classification Using Hyperspectral Images
- Equivariant Local Reference Frames for Unsupervised Non-rigid Point Cloud Shape Correspondence
- AISPACE at SemEval-2024 task 8: A Class-balanced Soft-voting System for Detecting Multi-generator Machine-generated Text
- Harnessing The Power of Attention For Patch-Based Biomedical Image Classification
- Exploring the Efficacy of Group-Normalization in Deep Learning Models for Alzheimer's Disease Classification
- Evalverse: Unified and Accessible Library for Large Language Model Evaluation
- Evaluating the Factuality of Large Language Models using Large-Scale Knowledge Graphs
- How Can Large Language Models Enable Better Socially Assistive Human-Robot Interaction: A Brief Survey
- PSYDIAL: Personality-based Synthetic Dialogue Generation using Large Language Models
- A Survey on Multilingual Large Language Models: Corpora, Alignment, and Bias
- Instance-Aware Group Quantization for Vision Transformers
- LLMs are Good Sign Language Translators
- BadPart: Unified Black-box Adversarial Patch Attacks against Pixel-wise Regression Tasks
- MM3DGS SLAM: Multi-modal 3D Gaussian Splatting for SLAM Using Vision, Depth, and Inertial Measurements
- Towards Label-Efficient Human Matting: A Simple Baseline for Weakly Semi-Supervised Trimap-Free Human Matting
- Rethinking Saliency-Guided Weakly-Supervised Semantic Segmentation
- Gyro-based Neural Single Image Deblurring
- Scalable 3D Registration via Truncated Entry-wise Absolute Residuals
- Token-Efficient Leverage Learning in Large Language Models
- LLaMA-Excitor: General Instruction Tuning via Indirect Feature Interaction
- Inference in Randomized Least Squares and PCA via Normality of Quadratic Forms
- Maximizing User Experience with LLMOps-Driven Personalized Recommendation Systems
- Slightly Shift New Classes to Remember Old Classes for Video Class-Incremental Learning
- TM-TREK at SemEval-2024 Task 8: Towards LLM-Based Automatic Boundary Detection for Human-Machine Mixed Text
- CAAP: Class-Dependent Automatic Data Augmentation Based On Adaptive Policies For Time Series
- Machine Learning Robustness: A Primer
- Marrying NeRF with Feature Matching for One-step Pose Estimation
- Modeling Output-Level Task Relatedness in Multi-Task Learning with Feedback Mechanism
- Self-Demos: Eliciting Out-of-Demonstration Generalizability in Large Language Models
- Interpretable Multi-View Clustering Based on Anchor Graph Tensor Factorization
- Metric Learning to Accelerate Convergence of Operator Splitting Methods for Differentiable Parametric Programming
- Rethinking the Relationship between Recurrent and Non-Recurrent Neural Networks: A Study in Sparsity
- TryOn-Adapter: Efficient Fine-Grained Clothing Identity Adaptation for High-Fidelity Virtual Try-On
- MGMap: Mask-Guided Learning for Online Vectorized HD Map Construction
- DPA-Net: Structured 3D Abstraction from Sparse Views via Differentiable Primitive Assembly
- DiSR-NeRF: Diffusion-Guided View-Consistent Super-Resolution NeRF
- Bailong: Bilingual Transfer Learning based on QLoRA and Zip-tie Embedding
- Do language models plan ahead for future tokens?
- Meta Episodic learning with Dynamic Task Sampling for CLIP-based Point Cloud Classification
- Removing Speaker Information from Speech Representation using Variable-Length Soft Pooling
- TSOM: Small Object Motion Detection Neural Network Inspired by Avian Visual Circuit
- Ensemble Learning for Vietnamese Scene Text Spotting in Urban Environments
- Generating Content for HDR Deghosting from Frequency View
- Predictive Performance Comparison of Decision Policies Under Confounding
- Collaborative Learning of Anomalies with Privacy (CLAP) for Unsupervised Video Anomaly Detection: A New Baseline
- Transfer Learning with Point Transformers
- An N-Point Linear Solver for Line and Motion Estimation with Event Cameras
- 3MOS: Multi-sources, Multi-resolutions, and Multi-scenes dataset for Optical-SAR image matching
- Automated HER2 Scoring in Breast Cancer Images Using Deep Learning and Pyramid Sampling
- Rethinking Resource Management in Edge Learning: A Joint Pre-training and Fine-tuning Design Paradigm
- Towards Robust Event-guided Low-Light Image Enhancement: A Large-Scale Real-World Event-Image Dataset and Novel Approach