Papers
Wed 15 Mar 2023
231 papers
- Aerial Diffusion: Text Guided Ground-to-Aerial View Translation from a Single Image using Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- Copyright Protection and Accountability of Generative AI:Attack, Watermarking and AttributionLLM safety and security → Watermarking generated content and models
- Automated Interactive Domain-Specific Conversational Agents that Understand Human DialogsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Stochastic Segmentation with Conditional Categorical Diffusion ModelsDiffusion models → Medical imaging and segmentation
- Highly Personalized Text Embedding for Image Manipulation by Stable DiffusionDiffusion models → Image generation, text-to-image and editing
- DiffusionAD: Norm-guided One-step Denoising Diffusion for Anomaly DetectionDiffusion models → Flow matching, time series and science
- ResDiff: Combining CNN and Diffusion Model for Image Super-ResolutionDiffusion models → Inverse problems and image restoration
- Replay Buffer with Local Forgetting for Adapting to Local Environment Changes in Deep Model-Based Reinforcement LearningWorld models → Latent dynamics models and model-based RL
- Speech Signal Improvement Using Causal Generative Diffusion ModelsDiffusion models → Audio, speech and music
- Cross-resolution Face Recognition via Identity-Preserving Network and Knowledge DistillationKnowledge distillation → General knowledge distillation methods
- Zero-Shot Contrastive Loss for Text-Guided Diffusion Image Style TransferDiffusion models → Image generation, text-to-image and editing
- The Devil's Advocate: Shattering the Illusion of Unexploitable Data using Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects
- Improving 3D Imaging with Pre-Trained Perpendicular 2D Diffusion ModelsDiffusion models → Medical imaging and segmentation
- Generating symbolic music using diffusion modelsDiffusion models → Audio, speech and music
- MCR-DL: Mix-and-Match Communication Runtime for Deep LearningMixture-of-experts → Efficient MoE training and inference systems
- Knowledge Distillation from Single to Multi Labels: an Empirical StudyKnowledge distillation → General knowledge distillation methods
- Active Teacher for Semi-Supervised Object DetectionKnowledge distillation → Detection and dense prediction distillation
- DiffBEV: Conditional Diffusion Model for Bird's Eye View PerceptionDiffusion models → Image generation, text-to-image and editing
- VideoFusion: Decomposed Diffusion Models for High-Quality Video GenerationDiffusion models → Video generation
- Android Malware Detection using Machine learning: A Review
- Transformer Models for Type Inference in the Simply Typed Lambda Calculus: A Case Study in Deep Learning for Code
- Towards an Hybrid Hodgkin-Huxley Action Potential Generation Model
- Application of probabilistic modeling and automated machine learning framework for high-dimensional stress field
- ChatGPT or Grammarly? Evaluating ChatGPT on Grammatical Error Correction Benchmark
- Bluetooth and WiFi Dataset for Real World RF Fingerprinting of Commercial Devices
- Reevaluating Data Partitioning for Emotion Detection in EmoWOZ
- Trajectory-Prediction with Vision: A Survey
- AdaOPC: A Self-Adaptive Mask Optimization Framework For Real Design Patterns
- Optimizing Trading Strategies in Quantitative Markets using Multi-Agent Reinforcement Learning
- Finding Similar Exercises in Retrieval Manner
- Epigenetics Algorithms: Self-Reinforcement-Attention mechanism to regulate chromosomes expression
- Classification of Primitive Manufacturing Tasks from Filtered Event Data
- Interpretability from a new lens: Integrating Stratification and Domain knowledge for Biomedical Applications
- Exploring Resiliency to Natural Image Corruptions in Deep Learning using Design Diversity
- SpatialFormer: Semantic and Target Aware Attentions for Few-Shot Learning
- Fast and Accurate Object Detection on Asymmetrical Receptive Field
- Physics-Informed Neural Networks for Time-Domain Simulations: Accuracy, Computational Cost, and Flexibility
- DeltaScore: Fine-Grained Story Evaluation with Perturbations
- Deep Learning Weight Pruning with RMT-SVD: Increasing Accuracy and Reducing Overfitting
- Cross-domain Sentiment Classification in Spanish
- Forecasting Particle Accelerator Interruptions Using Logistic LASSO Regression
- Reinforce Data, Multiply Impact: Improved Model Accuracy and Robustness with Dataset Reinforcement
- Active Semi-Supervised Learning by Exploring Per-Sample Uncertainty and Consistency
- DeblurSR: Event-Based Motion Deblurring Under the Spiking Representation
- Gated Compression Layers for Efficient Always-On Models
- Relative coordinates are crucial for Ulam's "trick to the train of thought"
- Robust Pivoting Manipulation using Contact Implicit Bilevel Optimization
- CS-TGN: Community Search via Temporal Graph Neural Networks
- NESS: Node Embeddings from Static SubGraphs
- Exploring the Relevance of Data Privacy-Enhancing Technologies for AI Governance Use Cases
- Large-scale End-of-Life Prediction of Hard Disks in Distributed Datacenters
- PRESTO: A Multilingual Dataset for Parsing Realistic Task-Oriented Dialogs
- The Tiny Time-series Transformer: Low-latency High-throughput Classification of Astronomical Transients using Deep Model Compression
- Agnostic Multi-Robust Learning Using ERM
- Spherical Space Feature Decomposition for Guided Depth Map Super-Resolution
- Enhancing Data Space Semantic Interoperability through Machine Learning: a Visionary Perspective
- Designing Participatory AI: Creative Professionals' Worries and Expectations about Generative AI
- Applying unsupervised keyphrase methods on concepts extracted from discharge sheets
- Panoptic Mapping with Fruit Completion and Pose Estimation for Horticultural Robots
- EgoViT: Pyramid Video Transformer for Egocentric Action Recognition
- LRDB: LSTM Raw data DNA Base-caller based on long-short term models in an active learning environment
- MAtch, eXpand and Improve: Unsupervised Finetuning for Zero-Shot Action Recognition with Language Knowledge
- Latent-Conditioned Policy Gradient for Multi-Objective Deep Reinforcement Learning
- VVS: Video-to-Video Retrieval with Irrelevant Frame Suppression
- Learning ground states of gapped quantum Hamiltonians with Kernel Methods
- Contextual Trust
- SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models
- A Formalization of Operads in Coq
- A Multifidelity deep operator network approach to closure for multiscale systems
- ViTO: Vision Transformer-Operator
- Discrete-Time Nonlinear Feedback Linearization via Physics-Informed Machine Learning
- ROSE: A Neurocomputational Architecture for Syntax
- Bayesian Quadrature for Neural Ensemble Search
- Machine Learning-Driven Adaptive OpenMP For Portable Performance on Heterogeneous Systems
- EvalAttAI: A Holistic Approach to Evaluating Attribution Maps in Robust and Non-Robust Models
- Class-Guided Image-to-Image Diffusion: Cell Painting from Brightfield Images with Class Labels
- On the Benefits of Leveraging Structural Information in Planning Over the Learned Model
- PENet: A Joint Panoptic Edge Detection Network
- Wireless Sensor Networks anomaly detection using Machine Learning: A Survey
- DeepMIM: Deep Supervision for Masked Image Modeling
- Borda Regret Minimization for Generalized Linear Dueling Bandits
- Lane Graph as Path: Continuity-preserving Path-wise Modeling for Online Lane Graph Construction
- Trigger-Level Event Reconstruction for Neutrino Telescopes Using Sparse Submanifold Convolutional Neural Networks
- Relax, it doesn't matter how you get there: A new self-supervised approach for multi-timescale behavior analysis
- BiFormer: Vision Transformer with Bi-Level Routing Attention
- Cascading and Direct Approaches to Unsupervised Constituency Parsing on Spoken Sentences
- Mesh Strikes Back: Fast and Efficient Human Reconstruction from RGB videos
- Understanding Post-hoc Explainers: The Case of Anchors
- Cloud Services Enable Efficient AI-Guided Simulation Workflows across Heterogeneous Resources
- Stochastic Interpolants: A Unifying Framework for Flows and Diffusions
- Building an Effective Email Spam Classification Model with spaCy
- PLEX: Making the Most of the Available Data for Robotic Manipulation Pretraining
- Query-guided Attention in Vision Transformers for Localizing Objects Using a Single Sketch
- Fully neuromorphic vision and control for autonomous drone flight
- Distribution-free Deviation Bounds and The Role of Domain Knowledge in Learning via Model Selection with Cross-validation Risk Estimation
- GPT-4 Technical Report
- Deep Calibration With Artificial Neural Network: A Performance Comparison on Option Pricing Models
- CT Perfusion is All We Need: 4D CNN Segmentation of Penumbra and Core in Patients With Suspected Ischemic Stroke
- Cascaded Zoom-in Detector for High Resolution Aerial Images
- Towards Phytoplankton Parasite Detection Using Autoencoders
All 231
- 2D and 3D CNN-Based Fusion Approach for COVID-19 Severity Prediction from 3D CT-Scans
- Evaluating gesture generation in a large-scale open challenge: The GENEA Challenge 2022
- A machine-learning approach to thunderstorm forecasting through post-processing of simulation data
- Predicting Individualized Effects of Internet-Based Treatment for Genito-Pelvic Pain/Penetration Disorder: Development and Internal Validation of a Multivariable Decision Tree Model
- DACOS-A Manually Annotated Dataset of Code Smells
- Improving Out-of-Distribution Detection with Disentangled Foreground and Background Features
- Artificial Influence: An Analysis Of AI-Driven Persuasion
- Practicality of generalization guarantees for unsupervised domain adaptation with neural networks
- Re-ReND: Real-time Rendering of NeRFs across Devices
- Multi-Exposure HDR Composition by Gated Swin Transformer
- Bi-directional Distribution Alignment for Transductive Zero-Shot Learning
- Mirror: A Natural Language Interface for Data Querying, Summarization, and Visualization
- RefiNeRF: Modelling dynamic neural radiance fields with inconsistent or missing camera parameters
- SpiderMesh: Spatial-aware Demand-guided Recursive Meshing for RGB-T Semantic Segmentation
- Learning to Reconstruct Signals From Binary Measurements
- Panoptic One-Click Segmentation: Applied to Agricultural Data
- Weakly Supervised Monocular 3D Object Detection using Multi-View Projection and Direction Consistency
- Making Vision Transformers Efficient from A Token Sparsification View
- RSFNet: A White-Box Image Retouching Approach using Region-Specific Color Filters
- Muti-Agent Proximal Policy Optimization For Data Freshness in UAV-assisted Networks
- Visual Prompt Based Personalized Federated Learning
- Skinned Motion Retargeting with Residual Perception of Motion Semantics & Geometry
- Economical Quaternion Extraction from a Human Skeletal Pose Estimate using 2-D Cameras
- Automated Query Generation for Evidence Collection from Web Search Engines
- An End-to-End Multi-Task Learning Model for Image-based Table Recognition
- High-level Feature Guided Decoding for Semantic Segmentation
- Feature propagation as self-supervision signals on graphs
- Blowing in the Wind: CycleNet for Human Cinemagraphs from Still Images
- Quality evaluation of point clouds: a novel no-reference approach using transformer-based architecture
- Pixel-Level Explanation of Multiple Instance Learning Models in Biomedical Single Cell Images
- Smoothed Q-learning
- From Images to Features: Unbiased Morphology Classification via Variational Auto-Encoders and Domain Adaptation
- Interpretable Ensembles of Hyper-Rectangles as Base Models
- Exploring Large-scale Unlabeled Faces to Enhance Facial Expression Recognition
- Learning to Incentivize Information Acquisition: Proper Scoring Rules Meet Principal-Agent Model
- Improving Fast Auto-Focus with Event Polarity
- On the Calibration and Uncertainty with P'olya-Gamma Augmentation for Dialog Retrieval Models
- RICO: Regularizing the Unobservable for Indoor Compositional Reconstruction
- GCRE-GPT: A Generative Model for Comparative Relation Extraction
- MSeg3D: Multi-modal 3D Semantic Segmentation for Autonomous Driving
- Efficient Uncertainty Estimation with Gaussian Process for Reliable Dialog Response Retrieval
- Aerial-Ground Person Re-ID
- FastInst: A Simple Query-Based Model for Real-Time Instance Segmentation
- Investigating GANsformer: A Replication Study of a State-of-the-Art Image Generation Model
- WikiCoder: Learning to Write Knowledge-Powered Code
- Sensitivity-Aware Visual Parameter-Efficient Fine-Tuning
- MGA: Medical generalist agent through text-guided knowledge transformation
- Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples!
- Deep Learning for Cross-Domain Few-Shot Visual Recognition: A Survey
- The Image of the Process Interpretation of Regular Expressions is Not Closed under Bisimulation Collapse
- Joint Graph and Vertex Importance Learning
- Cognitive Semantic Communication Systems Driven by Knowledge Graph: Principle, Implementation, and Performance Evaluation
- Local Region Perception and Relationship Learning Combined with Feature Fusion for Facial Action Unit Detection
- Adapting U-Net for linear elastic stress estimation in polycrystal Zr microstructures
- Health Monitoring of Movement Disorder Subject based on Diamond Stacked Sparse Autoencoder Ensemble Model
- Watch or Listen: Robust Audio-Visual Speech Recognition with Visual Corruption Modeling and Reliability Scoring
- Singular relaxation of a random walk in a box with a Metropolis Monte Carlo dynamics
- MRGAN360: Multi-stage Recurrent Generative Adversarial Network for 360 Degree Image Saliency Prediction
- CoordFill: Efficient High-Resolution Image Inpainting via Parameterized Coordinate Querying
- UPRISE: Universal Prompt Retrieval for Improving Zero-Shot Evaluation
- Fair Off-Policy Learning from Observational Data
- Deep Learning for Iris Recognition: A Review
- Mapping Urban Population Growth from Sentinel-2 MSI and Census Data Using Deep Learning: A Case Study in Kigali, Rwanda
- BEVHeight: A Robust Framework for Vision-based Roadside 3D Object Detection
- Strong Baseline and Bag of Tricks for COVID-19 Detection of CT Scans
- Can Fairness be Automated? Guidelines and Opportunities for Fairness-aware AutoML
- SeqCo-DETR: Sequence Consistency Training for Self-Supervised Object Detection with Transformers
- Bayesian Learning for the Robust Verification of Autonomous Robots
- Mutual Information-Based Temporal Difference Learning for Human Pose Estimation in Video
- Unsupervised Traffic Scene Generation with Synthetic 3D Scene Graphs
- Who's in Charge? Roles and Responsibilities of Decision-Making Components in Conversational Robots
- Mining False Positive Examples for Text-Based Person Re-identification
- Co-Occurrence Matters: Learning Action Relation for Temporal Action Localization
- Forecasting Intraday Power Output by a Set of PV Systems using Recurrent Neural Networks and Physical Covariates
- Statistical learning on measures: an application to persistence diagrams
- On the uncertainty analysis of the data-enabled physics-informed neural network for solving neutron diffusion eigenvalue problem
- Reversing the Abnormal: Pseudo-Healthy Generative Networks for Anomaly Detection
- PoseRAC: Pose Saliency Transformer for Repetitive Action Counting
- A Cross-institutional Evaluation on Breast Cancer Phenotyping NLP Algorithms on Electronic Health Records
- MAHTM: A Multi-Agent Framework for Hierarchical Transactive Microgrids
- Task-specific Fine-tuning via Variational Information Bottleneck for Weakly-supervised Pathology Whole Slide Image Classification
- Real-time Multi-Object Tracking Based on Bi-directional Matching
- Real Face Foundation Representation Learning for Generalized Deepfake Detection
- Learning Accurate Template Matching with Differentiable Coarse-to-Fine Correspondence Refinement
- Physics-Informed Optical Kernel Regression Using Complex-valued Neural Fields
- DeDA: Deep Directed Accumulator
- The Benefits of Mixup for Feature Learning
- Policy Gradient Converges to the Globally Optimal Policy for Nearly Linear-Quadratic Regulators
- Multi Modal Facial Expression Recognition with Transformer-Based Fusion Networks and Dynamic Sampling
- SymBa: Symmetric Backpropagation-Free Contrastive Learning with Forward-Forward Algorithm for Optimizing Convergence
- Lung Nodule Segmentation and Uncertain Region Prediction with an Uncertainty-Aware Attention Mechanism
- Rice paddy disease classifications using CNNs
- From Local Binary Patterns to Pixel Difference Networks for Efficient Visual Representation Learning
- Lana: A Language-Capable Navigator for Instruction Following and Generation
- DualFair: Fair Representation Learning at Both Group and Individual Levels via Contrastive Self-supervision
- Implicit Ray-Transformers for Multi-view Remote Sensing Image Segmentation
- A Triplet-loss Dilated Residual Network for High-Resolution Representation Learning in Image Retrieval
- PR-MCS: Perturbation Robust Metric for MultiLingual Image Captioning
- Rethinking Optical Flow from Geometric Matching Consistent Perspective
- Comparative Evaluation of Data Decoupling Techniques for Federated Machine Learning with Database as a Service
- Harnessing Low-Frequency Neural Fields for Few-Shot View Synthesis
- Uncertainty-Aware Pedestrian Trajectory Prediction via Distributional Diffusion
- Unsupervised Contour Tracking of Live Cells by Mechanical and Cycle Consistency Losses
- Transfer Learning Based Diagnosis and Analysis of Lung Sound Aberrations
- Towards Cooperative Federated Learning over Heterogeneous Edge/Fog Networks
- DICNet: Deep Instance-Level Contrastive Network for Double Incomplete Multi-View Multi-Label Classification
- Leveraging TCN and Transformer for effective visual-audio fusion in continuous emotion recognition
- Efficient and Secure Federated Learning for Financial Applications
- Scanning Only Once: An End-to-end Framework for Fast Temporal Grounding in Long Videos
- Sharing Low Rank Conformer Weights for Tiny Always-On Ambient Speech Recognition Models
- VideoFlow: Exploiting Temporal Cues for Multi-frame Optical Flow Estimation
- FactReranker: Fact-guided Reranker for Faithful Radiology Report Summarization
- Towards High-Quality and Efficient Video Super-Resolution via Spatial-Temporal Data Overfitting
- Cross-speaker Emotion Transfer by Manipulating Speech Style Latents
- FairAdaBN: Mitigating unfairness with adaptive batch normalization and its application to dermatological disease classification
- Optimization Design for Federated Learning in Heterogeneous 6G Networks
- FAQ: Feature Aggregated Queries for Transformer-based Video Object Detectors
- Micro-video Tagging via Jointly Modeling Social Influence and Tag Relation
- MSF: Motion-guided Sequential Fusion for Efficient 3D Object Detection from Point Cloud Sequences
- Guided Slot Attention for Unsupervised Video Object Segmentation
- SpaceEvo: Hardware-Friendly Search Space Design for Efficient INT8 Inference
- SegPrompt: Using Segmentation Map as a Better Prompt to Finetune Deep Models for Kidney Stone Classification
- ZeroQuant-V2: Exploring Post-training Quantization in LLMs from Comprehensive Study to Low Rank Compensation
- Dataset Management Platform for Machine Learning
- Learning From High-Dimensional Cyber-Physical Data Streams for Diagnosing Faults in Smart Grids
- Machine Learning Approaches in Agile Manufacturing with Recycled Materials for Sustainability
- Rediscovery of CNN's Versatility for Text-based Encoding of Raw Electronic Health Records
- Improving Adversarial Robustness with Hypersphere Embedding and Angular-based Regularizations
- Attention-likelihood relationship in transformers
- Linking Alternative Fuel Vehicles Adoption with Socioeconomic Status and Air Quality Index
- Robot Navigation in Risky, Crowded Environments: Understanding Human Preferences