Papers
Thu 11 May 2023
193 papers
- Learning the Visualness of Text Using Large Vision-Language ModelsMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- GFlowNets with Human FeedbackLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Musketeer: Joint Training for Multi-task Vision Language Model with Task Explanation PromptsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Exploiting Diffusion Prior for Real-World Image Super-ResolutionDiffusion models → Inverse problems and image restoration
- Not All Languages Are Created Equal in LLMs: Improving Multilingual Capability by Cross-Lingual-Thought PromptingLLM reasoning → Reasoning benchmarks and evaluation
- Active Retrieval Augmented GenerationRetrieval-augmented generation → Generation and context integration
- Real-Time Joint Simulation of LiDAR Perception and Motion Planning for Automated DrivingEnd-to-end autonomous driving → End-to-end system architecture
- CoMoSpeech: One-Step Speech and Singing Voice Synthesis via Consistency ModelDiffusion models → Audio, speech and music
- Think Twice: Measuring the Efficiency of Eliminating Prediction Shortcuts of Question Answering ModelsLLM reasoning → Reasoning benchmarks and evaluation
- DeepSTEP -- Deep Learning-Based Spatio-Temporal End-To-End Perception for Autonomous VehiclesEnd-to-end autonomous driving → End-to-end system architecture
- Generation of Structurally Realistic Retinal Fundus Images with Diffusion ModelsDiffusion models → Medical imaging and segmentation
- Null-text Guidance in Diffusion Models is Secretly a Cartoon-style CreatorDiffusion models → Diffusion foundations and sampling
- Serial Contrastive Knowledge Distillation for Continual Few-shot Relation ExtractionKnowledge distillation → Distillation for continual learning
- Structured Chain-of-Thought Prompting for Code GenerationLLM reasoning → Reasoning for agents, planning and code
- Undercover Deepfakes: Detecting Fake Segments in VideosDiffusion models → Image generation, text-to-image and editing
- KGA: A General Machine Unlearning Framework Based on Knowledge Gap AlignmentLLM safety and security → Machine unlearning
- InstructBLIP: Towards General-purpose Vision-Language Models with Instruction TuningMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Backdoor Attack with Sparse and Invisible Trigger
- Unicode Normalization and Grapheme Parsing of Indic Languages
- A Conceptual Model for End-to-End Causal Discovery in Knowledge Tracing
- PPGenCDR: A Stable and Robust Framework for Privacy-Preserving Cross-Domain Recommendation
- Entropy-Aware Similarity for Balanced Clustering: A Case Study with Melanoma Detection
- Criticality Analysis: Bio-inspired Nonlinear Data Representation
- Development and Whole-Body Validation of Personalizable Female and Male Pedestrian SAFER Human Body Models
- A Novel Dataset Towards Extracting Virus-Host Interactions
- Bringing AI to the edge: A formal M&S specification to deploy effective IoT architectures
- SmartPhone: Exploring Keyword Mnemonic with Auto-generated Verbal and Visual Cues
- Generative Pre-trained Transformer: A Comprehensive Review on Enabling Technologies, Potential Applications, Emerging Challenges, and Future Directions
- Toxicity Inspector: A Framework to Evaluate Ground Truth in Toxicity Detection Through Feedback
- An Ensemble Learning Approach for Exercise Detection in Type 1 Diabetes Patients
- Anomaly Detection Dataset for Industrial Control Systems
- Masked Audio Text Encoders are Effective Multi-Modal Rescorers
- LatentPINNs: Generative physics-informed neural networks via a latent representation learning
- Liver Infection Prediction Analysis using Machine Learning to Evaluate Analytical Performance in Neural Networks by Optimization Techniques
- MolDiff: Addressing the Atom-Bond Inconsistency Problem in 3D Molecule Diffusion Generation
- Optimizing Memory Mapping Using Deep Reinforcement Learning
- Continual Vision-Language Representation Learning with Off-Diagonal Information
- Fast Pareto Optimization Using Sliding Window Selection
- Automatic Radiology Report Generation by Learning with Increasingly Hard Negatives
- Towards Understanding and Improving GFlowNet Training
- OneCAD: One Classifier for All image Datasets using multimodal learning
- Learning-Augmented Online Packet Scheduling with Deadlines
- Lattice-preserving ALC ontology embeddings with saturation
- A Deep Learning-based Compression and Classification Technique for Whole Slide Histopathology Images
- Exploring Zero and Few-shot Techniques for Intent Classification
- Intuitive Surgical SurgToolLoc and SurgVU Challenges Results: 2022-2025
- Overinformative Question Answering by Humans and Machines
- Enhancing Petrophysical Studies with Machine Learning: A Field Case Study on Permeability Prediction in Heterogeneous Reservoirs
- The ConceptARC Benchmark: Evaluating Understanding and Generalization in the ARC Domain
- Promise and Limitations of Supervised Optimal Transport-Based Graph Summarization via Information Theoretic Measures
- Divide-and-Conquer the NAS puzzle in Resource Constrained Federated Learning Systems
- Tackling Interpretability in Audio Classification Networks with Non-negative Matrix Factorization
- Combining OCR Models for Reading Early Modern Printed Books
- Pixel-wise rational model for structured light system
- Graph Neural Network for Accurate and Low-complexity SAR ATR
- Energy cost and machine learning accuracy impact of k-anonymisation and synthetic data techniques
- Salient Mask-Guided Vision Transformer for Fine-Grained Classification
- E(n) Equivariant Message Passing Simplicial Networks
- Are Machine Rationales (Not) Useful to Humans? Measuring and Improving Human Utility of Free-Text Rationales
- Stability and Convergence of Distributed Stochastic Approximations with large Unbounded Stochastic Information Delays
- Hierarchically Coherent Multivariate Mixture Networks
- Enhancing Contrastive Learning with Noise-Guided Attack: Towards Continual Relation Extraction in the Wild
- Deep Reinforcement Learning for Interference Management in UAV-based 3D Networks: Potentials and Challenges
- Fairness in Machine Learning meets with Equity in Healthcare
- Sequential Experimental Design for Spectral Measurement: Active Learning Using a Parametric Model
- Value Iteration Networks with Gated Summarization Module
- Revealing Patterns of Symptomatology in Parkinson's Disease: A Latent Space Analysis with 3D Convolutional Autoencoders
- On Expressivity of Height in Neural Networks
- EfficientViT: Memory Efficient Vision Transformer with Cascaded Group Attention
- Decentralization and Acceleration Enables Large-Scale Bundle Adjustment
- SparseGNV: Generating Novel Views of Indoor Scenes with Sparse Input Views
- Simple Token-Level Confidence Improves Caption Correctness
- An Inverse Scaling Law for CLIP Training
- A General-Purpose Multilingual Document Encoder
- Virtual Occlusions Through Implicit Depth
- Region-Aware Pretraining for Open-Vocabulary Object Detection with Vision Transformers
- Subword Segmental Machine Translation: Unifying Segmentation and Target Sentence Generation
- Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach
- A statistical approach to detect sensitive features in a group fairness setting
- SMATCH++: Standardized and Extended Evaluation of Semantic Graphs
- Neural Wave Functions for Superfluids
- Self-Chained Image-Language Model for Video Localization and Question Answering
- Provable Guarantees for Nonlinear Feature Learning in Three-Layer Neural Networks
- Evaluating Open-Domain Question Answering in the Era of Large Language Models
- Meta-hallucinator: Towards Few-Shot Cross-Modality Cardiac Image Segmentation
- FreePoint: Unsupervised Point Cloud Instance Segmentation
- Spear Phishing With Large Language Models
- A Survey on Intersectional Fairness in Machine Learning: Notions, Mitigation, and Challenges
- HuManiFlow: Ancestor-Conditioned Normalising Flows on SO(3) Manifolds for Human Pose and Shape Distribution Estimation
- Data quality dimensions for fair AI
- Transformers for CT Reconstruction From Monoplanar and Biplanar Radiographs
- Cascaded Cross-Attention Networks for Data-Efficient Whole-Slide Image Classification Using Transformers
- FastDiagP: An Algorithm for Parallelized Direct Diagnosis
- SalienDet: A Saliency-based Feature Enhancement Algorithm for Object Detection for Autonomous Driving
- Deep Multi-View Subspace Clustering with Anchor Graph
- Convergence of Alternating Gradient Descent for Matrix Factorization
- EAML: Ensemble Self-Attention-based Mutual Learning Network for Document Image Classification
- A Machine Learning Approach to Improving Timing Consistency between Global Route and Detailed Route
- Meta-Learners for Few-Shot Weakly-Supervised Medical Image Segmentation
- AfriQA: Cross-lingual Open-Retrieval Question Answering for African Languages
All 193
- Reinterpreting causal discovery as the task of predicting unobserved joint statistics
- IUST_NLP at SemEval-2023 Task 10: Explainable Detecting Sexism with Transformers and Task-adaptive Pretraining
- A Category-theoretical Meta-analysis of Definitions of Disentanglement
- Multi-Tier Client Selection for Mobile Federated Learning Networks
- A General Framework for Visualizing Embedding Spaces of Neural Survival Analysis Models Based on Angular Information
- Enhancing Datalog Reasoning with Hypertree Decompositions
- Policy Gradient Algorithms Implicitly Optimize by Continuation
- WebCPM: Interactive Web Search for Chinese Long-form Question Answering
- Detection and Classification of Pole-like Landmarks for Domain-invariant 3D Point Cloud Map Matching
- Emotion Recognition for Challenged People Facial Appearance in Social using Neural Network
- A Generic Approach to Integrating Time into Spatial-Temporal Forecasting via Conditional Neural Fields
- Implicit Neural Networks with Fourier-Feature Inputs for Free-breathing Cardiac MRI Reconstruction
- Schelling Games with Continuous Types
- Towards a Computational Analysis of Suspense: Detecting Dangerous Situations
- THUIR@COLIEE 2023: More Parameters and Legal Knowledge for Legal Case Entailment
- THUIR@COLIEE 2023: Incorporating Structural Knowledge into Pre-trained Language Models for Legal Case Retrieval
- Collection Space Navigator: An Interactive Visualization Interface for Multidimensional Datasets
- Physics-Informed Neural Networks for Discovering Localised Eigenstates in Disordered Media
- Detecting Idiomatic Multiword Expressions in Clinical Terminology using Definition-Based Representation Learning
- GCFAgg: Global and Cross-view Feature Aggregation for Multi-view Clustering
- Towards Theoretical Understanding of Data-Driven Policy Refinement
- MMF-Track: Multi-modal Multi-level Fusion for 3D Single Object Tracking
- Integrating Nearest Neighbors with Neural Network Models for Treatment Effect Estimation
- ReMark: Receptive Field based Spatial WaterMark Embedding Optimization using Deep Network
- Utility-Maximizing Bidding Strategy for Data Consumers in Auction-based Federated Learning
- Generating high-quality 3DMPCs by adaptive data acquisition and NeREF-based radiometric calibration with UGV plant phenotyping system
- Towards a Better Understanding of the Computer Vision Research Community in Africa
- COCKATIEL: COntinuous Concept ranKed ATtribution with Interpretable ELements for explaining neural net classifiers on NLP tasks
- Comparison of Clustering Algorithms for Statistical Features of Vibration Data Sets
- The First Parallel Corpora for Kurdish Sign Language
- Investigating the generative dynamics of energy-based neural networks
- Implicitly normalized forecaster with clipping for linear and non-linear heavy-tailed multi-armed bandits
- IVP-VAE: Modeling EHR Time Series with Initial Value Problem Solvers
- Deep Learning for Retrospective Motion Correction in MRI: A Comprehensive Review
- Advancing Neural Encoding of Portuguese with Transformer Albertina PT-*
- Bi-level Dynamic Learning for Jointly Multi-modality Image Fusion and Beyond
- Distracting Downpour: Adversarial Weather Attacks for Motion Estimation
- NUBO: A Transparent Python Package for Bayesian Optimization
- A data-driven rutting depth short-time prediction model with metaheuristic optimization for asphalt pavements based on RIOHTrack
- Robust Detection of Lead-Lag Relationships in Lagged Multi-Factor Models
- Neural Fine-Gray: Monotonic neural networks for competing risks
- Deep Visual-Genetic Biometrics for Taxonomic Classification of Rare Species
- Cost-efficient Crowdsourcing for Span-based Sequence Labeling: Worker Selection and Data Augmentation
- INGENIOUS: Using Informative Data Subsets for Efficient Pre-Training of Language Models
- WeditGAN: Few-Shot Image Generation via Latent Space Relocation
- On the convergence of the MLE as an estimator of the learning rate in the Exp3 algorithm
- On Practical Robust Reinforcement Learning: Practical Uncertainty Set and Double-Agent Algorithm
- QURG: Question Rewriting Guided Context-Dependent Text-to-SQL Semantic Parsing
- Generalization bounds for neural ordinary differential equations and deep residual networks
- PROM: A Phrase-level Copying Mechanism with Pre-training for Abstractive Summarization
- Object based Bayesian full-waveform inversion for shear elastography
- Speaker Diaphragm Excursion Prediction: deep attention and online adaptation
- Predictive change point detection for heterogeneous data
- When the Majority is Wrong: Modeling Annotator Disagreement for Subjective Tasks
- Dropout Regularization in Extended Generalized Linear Models based on Double Exponential Families
- Matrix tri-factorization over the tropical semiring
- PVT-SSD: Single-Stage 3D Object Detector with Point-Voxel Transformer
- Improving Continual Relation Extraction by Distinguishing Analogous Semantics
- Autocorrelations Decay in Texts and Applicability Limits of Language Models
- Hyperbolic Deep Learning in Computer Vision: A Survey
- BanglaBook: A Large-scale Bangla Dataset for Sentiment Analysis from Book Reviews
- V2Meow: Meowing to the Visual Beat via Video-to-Music Generation
- FactKG: Fact Verification via Reasoning on Knowledge Graphs
- HAHE: Hierarchical Attention for Hyper-Relational Knowledge Graphs in Global and Local Level
- Towards Expressive Spectral-Temporal Graph Neural Networks for Time Series Forecasting
- SemEval-2023 Task 2: Fine-grained Multilingual Named Entity Recognition (MultiCoNER 2)
- Active Learning For Contextual Linear Optimization: A Margin-Based Approach
- Exploiting Fine-Grained DCT Representations for Hiding Image-Level Messages within JPEG Images
- Clustering of Time-Varying Graphs Based on Temporal Label Smoothness
- Chain-of-Dictionary Prompting Elicits Translation in Large Language Models
- A Fused Gromov-Wasserstein Framework for Unsupervised Knowledge Graph Entity Alignment
- How to Index Item IDs for Recommendation Foundation Models
- Convolutional Neural Networks Rarely Learn Shape for Semantic Segmentation
- ONCE: Boosting Content-based Recommendation with Both Open- and Closed-source Large Language Models
- Realization RGBD Image Stylization
- Spatiotemporal Regularized Tucker Decomposition Approach for Traffic Data Imputation
- Patch-wise Mixed-Precision Quantization of Vision Transformer
- Segment and Track Anything
- Long-Tailed Question Answering in an Open World
- Domain Incremental Lifelong Learning in an Open World
- WeLayout: WeChat Layout Analysis System for the ICDAR 2023 Competition on Robust Layout Segmentation in Corporate Documents
- Neural Lyapunov Control for Discrete-Time Systems
- GeoGLUE: A GeoGraphic Language Understanding Evaluation Benchmark
- Spectral Clustering on Large Datasets: When Does it Work? Theory from Continuous Clustering and Density Cheeger-Buser
- Inter-frame Accelerate Attack against Video Interpolation Models
- Semantic uncertainty guides the extension of conventions to new referents
- Semantic Random Walk for Graph Representation Learning in Attributed Graphs
- How Good are Commercial Large Language Models on African Languages?
- Pyramid Texture Filtering
- Can SAM Boost Video Super-Resolution?
- A fast topological approach for predicting anomalies in time-varying graphs
- Randomized Smoothing with Masked Inference for Adversarially Robust Text Classifications
- ParamNet: A Dynamic Parameter Network for Fast Multi-to-One Stain Normalization