Papers
Mon 19 Jun 2023
194 papers
- GD-VDM: Generated Depth for better Diffusion-based Video GenerationDiffusion models → Video generation
- Diffusion model based data generation for partial differential equationsDiffusion models → Flow matching, time series and science
- RemoteCLIP: A Vision Language Foundation Model for Remote SensingMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- JiuZhang 2.0: A Unified Chinese Pre-trained Language Model for Multi-task Mathematical Problem SolvingLLM reasoning → Mathematical reasoning +1
- Temporal Data Meets LLM -- Explainable Financial Time Series ForecastingLLM reasoning → Reasoning for agents, planning and code
- BayLing: Bridging Cross-lingual Alignment and Instruction Following through Interactive Translation for Large Language ModelsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Conditional Text Image Generation with Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- Fine-tuning Large Enterprise Language Models via Ontological ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning
- SeMAIL: Eliminating Distractors in Visual Imitation via Separated ModelsOffline RL and imitation learning from data → Imitation learning methods
- Categories of Response-Based, Feature-Based, and Relation-Based Knowledge DistillationKnowledge distillation → General knowledge distillation methods
- SynerGPT: In-Context Learning for Personalized Drug Synergy Prediction and Drug Design
- Deep Reinforcement Learning for ESG financial portfolio management
- Introduction to Facial Micro Expressions Analysis Using Color and Depth Images: A Matlab Coding Approach (Second Edition, 2023)
- Cases of EFL Secondary Students' Prompt Engineering Pathways to Complete a Writing Task with ChatGPT
- Suppressing unknown disturbances to dynamical systems using machine learning
- Unsupervised Text Embedding Space Generation Using Generative Adversarial Networks for Text Synthesis
- Replace and Report: NLP Assisted Radiology Report Generation
- Integrating Tick-level Data and Periodical Signal for High-frequency Market Making
- Optimal Execution Using Reinforcement Learning
- Neural networks can detect model-free static arbitrage strategies
- Generating Parametric BRDFs from Natural Language Descriptions
- FSUIE: A Novel Fuzzy Span Mechanism for Universal Information Extraction
- MeciFace: Mechanomyography and Inertial Fusion-based Glasses for Edge Real-Time Recognition of Facial and Eating Activities
- Taming the Exponential Action Set: Sublinear Regret and Fast Convergence to Nash Equilibrium in Online Congestion Games
- Differentially Private Synthetic Data Using KD-Trees
- Multi-task Learning for Radar Signal Characterisation
- The Psychophysics of Human Three-Dimensional Active Visuospatial Problem-Solving
- On Identifiability of Conditional Causal Effects
- Pre-Pruning and Gradient-Dropping Improve Differentially Private Image Classification
- Optical Coherence Tomography Image Enhancement via Block Hankelization and Low Rank Tensor Network Approximation
- The Manipulation Problem: Conversational AI as a Threat to Epistemic Agency
- AVOIDDS: Aircraft Vision-based Intruder Detection Dataset and Simulator
- Adaptive Federated Learning with Auto-Tuned Clients
- Sparse Modular Activation for Efficient Sequence Modeling
- Using Motif Transitions for Temporal Graph Generation
- BioREx: Improving Biomedical Relation Extraction by Leveraging Heterogeneous Datasets
- Co-design Hardware and Algorithm for Vector Search
- Insufficiently Justified Disparate Impact: A New Criterion for Subgroup Fairness
- Hyperbolic Active Learning for Semantic Segmentation under Domain Shift
- Evaluating Privacy Questions From Stack Overflow: Can ChatGPT Compete?
- A Framework for Fast and Stable Representations of Multiparameter Persistent Homology Decompositions
- Learning Models of Adversarial Agent Behavior under Partial Observability
- Large Language Models are Fixated by Red Herrings: Exploring Creative Problem Solving and Einstellung Effect using the Only Connect Wall Dataset
- Neuro-Symbolic Bi-Directional Translation -- Deep Learning Explainability for Climate Tipping Point Research
- A labeled dataset of cloud types using data from GOES-16 and CloudSat
- Human Limits in Machine Learning: Prediction of Plant Phenotypes Using Soil Microbiome Data
- CAT-Walk: Inductive Hypergraph Learning via Set Walks
- Evaluating Loss Functions and Learning Data Pre-Processing for Climate Downscaling Deep Learning Models
- Nonlinear Feature Aggregation: Two Algorithms driven by Theory
- Graph Self-Supervised Learning for Endoscopic Image Matching
- Deep Learning Framework with Multi-Head Dilated Encoders for Enhanced Segmentation of Cervical Cancer on Multiparametric Magnetic Resonance Imaging
- Modular Simulation Environment Towards OTN AI-based Solutions
- Fairness-aware Message Passing for Graph Neural Networks
- CAMMARL: Conformal Action Modeling in Multi Agent Reinforcement Learning
- Accelerated, physics-inspired inference of skeletal muscle microstructure from diffusion-weighted MRI
- To Fold or Not to Fold: Graph Regularized Tensor Train for Visual Data Completion
- Supervised Auto-Encoding Twin-Bottleneck Hashing
- Projection-Free Online Convex Optimization via Efficient Newton Iterations
- Confidence-Based Model Selection: When to Take Shortcuts for Subpopulation Shifts
- Learn to Accumulate Evidence from All Training Samples: Theory and Practice
- Correcting Underrepresentation and Intersectional Bias for Classification
- A Lightweight Generative Model for Interpretable Subject-level Prediction
- Markovian Embeddings for Coalitional Bargaining Games
- Forest Parameter Prediction by Multiobjective Deep Learning of Regression Models Trained with Pseudo-Target Imputation
- Primitive Generation and Semantic-related Alignment for Universal Zero-Shot Segmentation
- Enhancing variational quantum state diagonalization using reinforcement learning techniques
- Beyond Normal: On the Evaluation of Mutual Information Estimators
- Simple and Fast Group Robustness by Automatic Feature Reweighting
- Causal Effect Regularization: Automated Detection and Removal of Spurious Attributes
- Adversarial Robustness of Prompt-based Few-Shot Learning for Natural Language Understanding
- Cross-Modal Attribute Insertions for Assessing the Robustness of Vision-and-Language Learning
- Taming Small-sample Bias in Low-budget Active Learning
- A spatio-temporal network for video semantic segmentation in surgical videos
- Concavity-Induced Distance for Unoriented Point Cloud Decomposition
- UncLe-SLAM: Uncertainty Learning for Dense Neural SLAM
- FSAR: Federated Skeleton-based Action Recognition with Adaptive Topology Structure and Knowledge Distillation
- Frequency effects in Linear Discriminative Learning
- Application of Deep Learning for Predictive Maintenance of Oilfield Equipment
- Adversarial Training Should Be Cast as a Non-Zero-Sum Game
- Learning-based sound speed estimation and aberration correction in linear-array photoacoustic imaging
- PINQI: An End-to-End Physics-Informed Approach to Learned Quantitative MRI Reconstruction
- Dual-Gated Fusion with Prefix-Tuning for Multi-Modal Relation Extraction
- High-dimensional Contextual Bandit Problem without Sparsity
- Physics Constrained Unsupervised Deep Learning for Rapid, High Resolution Scanning Coherent Diffraction Reconstruction
- Front-door Adjustment Beyond Markov Equivalence with Limited Graph Knowledge
- ArctyrEX : Accelerated Encrypted Execution of General-Purpose Applications
- Concept Extrapolation: A Conceptual Primer
- RepoFusion: Training Code Models to Understand Your Repository
- Super-resolving sparse observations in partial differential equations: A physics-constrained convolutional neural network approach
- Scaling of Class-wise Training Losses for Post-hoc Calibration
- Tame a Wild Camera: In-the-Wild Monocular Camera Calibration
- A VAE Approach to Sample Multivariate Extremes
- LARG, Language-based Automatic Reward and Goal Generation
- Effect-Invariant Mechanisms for Policy Generalization
- Differentially Private Over-the-Air Federated Learning Over MIMO Fading Channels
- Enhancing Documents with Multidimensional Relevance Statements in Cross-encoder Re-ranking
- Prediction model for rare events in longitudinal follow-up and resampling methods
- Fine-Tuning Language Models for Scientific Writing Support
- Multilingual Few-Shot Learning via Language Model Retrieval
- Eigenpatches -- Adversarial Patches from Principal Components
All 194
- RaViTT: Random Vision Transformer Tokens
- Semi-Supervised Learning for hyperspectral images by non parametrically predicting view assignment
- sEMG-based Hand Gesture Recognition with Deep Learning
- Benchmarking Robustness of Deep Reinforcement Learning approaches to Online Portfolio Management
- PAC-Chernoff Bounds: Understanding Generalization in the Interpolation Regime
- Att-KGCN: Tourist Attractions Recommendation System by using Attention mechanism and Knowledge Graph Convolution Network
- FDTI: Fine-grained Deep Traffic Inference with Roadnet-enriched Graph
- Probabilistic Matching of Real and Generated Data Statistics in Generative Adversarial Networks
- Knowledge Transfer-Driven Few-Shot Class-Incremental Learning
- Synthetic optical coherence tomography angiographs for detailed retinal vessel segmentation without human annotations
- TeleViT: Teleconnection-driven Transformers Improve Subseasonal to Seasonal Wildfire Forecasting
- Generating Oscillation Activity with Echo State Network to Mimic the Behavior of a Simple Central Pattern Generator
- Understanding Depth Map Progressively: Adaptive Distance Interval Separation for Monocular 3d Object Detection
- Fairness Index Measures to Evaluate Bias in Biometric Recognition
- Practical Equivariances via Relational Conditional Neural Processes
- MotionGPT: Finetuned LLMs Are General-Purpose Motion Generators
- B-cos Alignment for Inherently Interpretable CNNs and Vision Transformers
- Transformer Training Strategies for Forecasting Multiple Load Time Series
- AdaStop: adaptive statistical testing for sound comparisons of Deep RL agents
- Explaining the Model and Feature Dependencies by Decomposition of the Shapley Value
- Handwritten Text Recognition from Crowdsourced Annotations
- Vision Transformer with Attention Map Hallucination and FFN Compaction
- Grammatical gender in Swedish is predictable using recurrent neural networks
- Multi-Granularity Hand Action Detection
- Pattern Mining for Anomaly Detection in Graphs: Application to Fraud in Public Procurement
- Performance of data-driven inner speech decoding with same-task EEG-fMRI data fusion and bimodal models
- Detection of Sensor-To-Sensor Variations using Explainable AI
- Leveraging The Edge-to-Cloud Continuum for Scalable Machine Learning on Decentralized Data
- Female mosquito detection by means of AI techniques inside release containers in the context of a Sterile Insect Technique program
- Blockchain-Enabled Federated Learning: A Reference Architecture Design, Implementation, and Verification
- RedMotion: Motion Prediction via Redundancy Reduction
- Online Dynamic Submodular Optimization
- 3D VR Sketch Guided 3D Shape Prototyping and Exploration
- An Error Correction Mid-term Electricity Load Forecasting Model Based on Seasonal Decomposition
- Interpreting Deep Neural Networks with the Package innsight
- Comparison of L2 Korean pronunciation error patterns from five L1 backgrounds by using automatic phonetic transcription
- textttcausalAssembly: Generating Realistic Production Data for Benchmarking Causal Discovery
- Practical First-Order Bayesian Optimization Algorithms
- Instruct-NeuralTalker: Editing Audio-Driven Talking Radiance Fields with Instructions
- Shape Guided Gradient Voting for Domain Generalization
- Non-contact Sensing for Anomaly Detection in Wind Turbine Blades: A focus-SVDD with Complex-Valued Auto-Encoder Approach
- Experts' cognition-driven ensemble deep learning for external validation of predicting pathological complete response to neoadjuvant chemotherapy from histological images in breast cancer
- SelfTalk: A Self-Supervised Commutative Training Diagram to Comprehend 3D Talking Faces
- ExpPoint-MAE: Better interpretability and performance for self-supervised point cloud transformers
- Variability of echo state network prediction horizon for partially observed dynamical systems
- NAR-Former V2: Rethinking Transformer for Universal Neural Network Representation Learning
- Preserving Commonsense Knowledge from Pre-trained Language Models via Causal Inference
- Adaptive Ordered Information Extraction with Deep Reinforcement Learning
- AMRs Assemble! Learning to Ensemble with Autoregressive Models for AMR Parsing
- Multitrack Music Transcription with a Time-Frequency Perceiver
- PartSLAM: Unsupervised Part-based Scene Modeling for Fast Succinct Map Matching
- SegT: A Novel Separated Edge-guidance Transformer Network for Polyp Segmentation
- Unsupervised Framework for Evaluating and Explaining Structural Node Embeddings of Graphs
- Gender Differences in Abuse: The Case of Dutch Politicians on Twitter
- P-Tensors: a General Formalism for Constructing Higher Order Message Passing Networks
- Substitutional Alloying Using Crystal Graph Neural Networks
- Path to Medical AGI: Unify Domain-specific Medical LLMs with the Lowest Cost
- Guiding Language Models of Code with Global Context using Monitors
- PowerBEV: A Powerful Yet Lightweight Framework for Instance Prediction in Bird's-Eye View
- SGFormer: Simplifying and Empowering Transformers for Large-Graph Representations
- A HRNet-based Rehabilitation Monitoring System
- Unsupervised Open-domain Keyphrase Generation
- Collaborative Optimization of Multi-microgrids System with Shared Energy Storage Based on Multi-agent Stochastic Game and Reinforcement Learning
- WiCo: Win-win Cooperation of Bottom-up and Top-down Referring Image Segmentation
- Practical and General Backdoor Attacks against Vertical Federated Learning
- BNN-DP: Robustness Certification of Bayesian Neural Networks via Dynamic Programming
- Machine Learning for Real-Time Anomaly Detection in Optical Networks
- Scalable Probabilistic Routes
- Deep learning based black spot identification on Greek road networks
- UniG3D: A Unified 3D Object Generation Dataset
- AdaSelection: Accelerating Deep Learning Training through Data Subsampling
- Jamp: Controlled Japanese Temporal Inference Dataset for Evaluating Generalization Capacity of Language Models
- Partial Hypernetworks for Continual Learning
- Renderers are Good Zero-Shot Representation Learners: Exploring Diffusion Latents for Metric Learning
- Exploring the Relationship between Samples and Masks for Robust Defect Localization
- Maximum Entropy Heterogeneous-Agent Reinforcement Learning
- PLASTIC: Improving Input and Label Plasticity for Sample Efficient Reinforcement Learning
- Machine learning of hidden variables in multiscale fluid simulation
- FDNet: Focal Decomposed Network for Efficient, Robust and Practical Time Series Forecasting
- Perturbation-Based Two-Stage Multi-Domain Active Learning
- Frame Fusion with Vehicle Motion Prediction for 3D Object Detection
- Deep Reinforcement Learning with Task-Adaptive Retrieval via Hypernetwork
- On the Model-Misspecification in Reinforcement Learning
- Data-Heterogeneous Hierarchical Federated Learning with Mobility
- Realistic Restorer: artifact-free flow restorer(AF2R) for MRI motion artifact removal
- Visually-Guided Sound Source Separation with Audio-Visual Predictive Coding
- Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation
- VNVC: A Versatile Neural Video Coding Framework for Efficient Human-Machine Vision
- Dual-view Correlation Hybrid Attention Network for Robust Holistic Mammogram Classification
- LaDe: The First Comprehensive Last-mile Delivery Dataset from Industry
- Object Topological Character Acquisition by Inductive Learning
- Distributed Marker Representation for Ambiguous Discourse Markers and Entangled Relations
- Virtual Human Generative Model: Masked Modeling Approach for Learning Human Characteristics
- On Distribution Dependent Sub-Logarithmic Query Time of Learned Indexing