Papers
Mon 20 Jun 2022
166 papers
- Knowledge Distillation for Oriented Object Detection on Aerial ImagesKnowledge distillation → Detection and dense prediction distillation
- Real-time Full-stack Traffic Scene Perception for Autonomous Driving with Roadside CamerasEnd-to-end autonomous driving → VLMs for autonomous driving
- SafeBench: A Benchmarking Platform for Safety Evaluation of Autonomous VehiclesEnd-to-end autonomous driving → Adversarial scenarios and safety testing
- DALL-E for Detection: Language-driven Compositional Image Synthesis for Object DetectionDiffusion models → Image generation, text-to-image and editing
- Deep Learning-Based Defect Classification and Detection in SEM Images
- Gait Cycle Reconstruction and Human Identification from Occluded Sequences
- CS2: A Controllable and Simultaneous Synthesizer of Images and Annotations with Minimal Human Intervention
- Cross-Modal Transformer GAN: A Brain Structure-Function Deep Fusing Framework for Alzheimer's Disease
- Remote Sensing Image Classification using Transfer Learning and Attention Based Deep Neural Network
- Deep reinforced active learning for multi-class image classification
- A Comprehensive Survey on Video Saliency Detection with Auditory Information: the Audio-visual Consistency Perceptual is the Key!
- Open Set Classification of Untranscribed Handwritten Documents
- Automatic autism spectrum disorder detection using artificial intelligence methods with MRI neuroimaging: A review
- Business Document Information Extraction: Towards Practical Benchmarks
- A Novel Three-Dimensional Navigation Method for the Visually Impaired
- An Ontological Approach to Analysing Social Service Provisioning
- S2RL: Do We Really Need to Perceive All States in Deep Multi-Agent Reinforcement Learning?
- COVYT: Introducing the Coronavirus YouTube and TikTok speech dataset featuring the same speakers with and without infection
- Penalty Weights in QUBO Formulations: Permutation Problems
- On the Impossibility of Learning to Cooperate with Adaptive Partner Strategies in Repeated Games
- The Right Tool for the Job: Open-Source Auditing Tools in Machine Learning
- Metareview-informed Explainable Cytokine Storm Detection during CAR-T cell Therapy
- Neural Activation Patterns (NAPs): Visual Explainability of Learned Concepts
- Stop ordering machine learning algorithms by their explainability! A user-centered investigation of performance and explainability
- Autoencoder-based Attribute Noise Handling Method for Medical Data
- Generating Diverse Indoor Furniture Arrangements
- MASER: Multi-Agent Reinforcement Learning with Subgoals Generated from Experience Replay Buffer
- Good Time to Ask: A Learning Framework for Asking for Help in Embodied Visual Navigation
- FedER: Federated Learning through Experience Replay and Privacy-Preserving Data Synthesis
- Identifiability of deep generative models without auxiliary information
- Classification Utility, Fairness, and Compactness via Tunable Information Bottleneck and R'enyi Measures
- MPA: MultiPath++ Based Architecture for Motion Prediction
- Understanding a Robot's Guiding Ethical Principles via Automatically Generated Explanations
- Deep Learning Models on CPUs: A Methodology for Efficient Training
- Test Time Transform Prediction for Open Set Histopathological Image Recognition
- Communication-Efficient Federated Learning With Data and Client Heterogeneity
- SynWMD: Syntax-aware Word Mover's Distance for Sentence Similarity Evaluation
- Intention-Aware Navigation in Crowds with Extended-Space POMDP Planning
- DNA: Proximal Policy Optimization with a Dual Network Architecture
- Stochastic Online Learning with Feedback Graphs: Finite-Time and Asymptotic Optimality
- flow-based clustering and spectral clustering: a comparison
- Deep Partial Least Squares for Empirical Asset Pricing
- Measuring the Effect of Training Data on Deep Learning Predictions via Randomized Experiments
- Limitations of the NTK for Understanding Generalization in Deep Learning
- When Does Re-initialization Work?
- Hyperparameter Importance of Quantum Neural Networks Across Small Datasets
- Model Optimization in Imbalanced Regression
- Measuring Class-Imbalance Sensitivity of Deterministic Performance Evaluation Metrics
- Mitigating Data Heterogeneity in Federated Learning with Data Augmentation
- Analysis of Thompson Sampling for Controlling Unknown Linear Diffusion Processes
- Noise Estimation in Gaussian Process Regression
- Critical Investigation of Failure Modes in Physics-informed Neural Networks
- Global Context Vision Transformers
- Seizure Detection and Prediction by Parallel Memristive Convolutional Neural Networks
- Short Video Uprising: How #BlackLivesMatter Content on TikTok Challenges the Protest Paradigm
- Quantum-machine-learning channel discrimination
- WOLONet: Wave Outlooker for Efficient and High Fidelity Speech Synthesis
- Inference-Based Quantum Sensing
- Multilingual HateCheck: Functional Tests for Multilingual Hate Speech Detection Models
- A Langevin-like Sampler for Discrete Distributions
- Low-Precision Stochastic Gradient Langevin Dynamics
- Learning Optimal Flows for Non-Equilibrium Importance Sampling
- ORFD: A Dataset and Benchmark for Off-Road Freespace Detection
- Only Tails Matter: Average-Case Universality and Robustness in the Convex Regime
- Occupancy-MAE: Self-supervised Pre-training Large-scale LiDAR Point Clouds with Masked Occupancy Autoencoders
- Multiple Fairness and Cardinality constraints for Students-Topics Grouping Problem
- Variational Quantum and Quantum-Inspired Clustering
- Latent Variable Modelling Using Variational Autoencoders: A survey
- Nocturne: a scalable driving benchmark for bringing multi-agent learning one step closer to the real world
- SoteriaFL: A Unified Framework for Private Federated Learning with Communication Compression
- KOLOMVERSE: Korea open large-scale image dataset for object detection in the maritime universe
- Breaking Down Out-of-Distribution Detection: Many Methods Based on OOD Training Data Estimate a Combination of the Same Core Quantities
- Algorithmic Fairness and Vertical Equity: Income Fairness with IRS Tax Audit Models
- Regression of high dimensional angular momentum states of light
- A Neural Network Based Method with Transfer Learning for Genetic Data Analysis
- Understanding Robust Learning through the Lens of Representation Similarities
- WiFi-based Spatiotemporal Human Action Perception
- Towards Using Promises for Multi-Agent Cooperation in Goal Reasoning
- Additive Gaussian Processes Revisited
- Fewer Errors, but More Stereotypes? The Effect of Model Size on Gender Bias
- DisCoVQA: Temporal Distortion-Content Transformers for Video Quality Assessment
- M&M Mix: A Multimodal Multiview Transformer Ensemble
- Contextual Squeeze-and-Excitation for Efficient Few-Shot Image Classification
- Practical Deepfake Detection: Vulnerabilities in Global Contexts
- Label noise (stochastic) gradient descent implicitly solves the Lasso for quadratic parametrisation
- A Distributional Approach for Soft Clustering Comparison and Evaluation
- Exceedance Probability Forecasting via Regression for Significant Wave Height Prediction
- SSM-DTA: Breaking the Barriers of Data Scarcity in Drug-Target Affinity Prediction
- ConvGeN: Convex space learning improves deep-generative oversampling for tabular imbalanced classification on smaller datasets
- Shapley-NAS: Discovering Operation Contribution for Neural Architecture Search
- Self-Supervised Consistent Quantization for Fully Unsupervised Image Retrieval
- Using Sum-Product Networks to Assess Uncertainty in Deep Active Learning
- The Makerere Radio Speech Corpus: A Luganda Radio Corpus for Automatic Speech Recognition
- Boosting Cross-Domain Speech Recognition with Self-Supervision
- Actively learning to learn causal relationships
- Test-time image-to-image translation ensembling improves out-of-distribution generalization in histopathology
- Quantitative CT texture-based method to predict diagnosis and prognosis of fibrosing interstitial lung disease patterns
- Bilingual by default: Voice Assistants and the role of code-switching in creating a bilingual user experience
- Towards Perspective-Based Specification of Machine Learning-Enabled Systems
- Time Gated Convolutional Neural Networks for Crop Classification
All 166
- Square One Bias in NLP: Towards a Multi-Dimensional Exploration of the Research Manifold
- Visualizing and Understanding Contrastive Learning
- A Comparative Study on Application of Class-Imbalance Learning for Severity Prediction of Adverse Events Following Immunization
- Guided Safe Shooting: model based reinforcement learning with safety constraints
- Developing a Free and Open-source Automated Building Exterior Crack Inspection Software for Construction and Facility Managers
- Geo-NI: Geometry-aware Neural Interpolation for Light Field Rendering
- Semantic Labeling of High Resolution Images Using EfficientUNets and Transformers
- A Note on the Convergence of Mirrored Stein Variational Gradient Descent under (L0,L1)-Smoothness Condition
- Great Expectations: Unsupervised Inference of Suspense, Surprise and Salience in Storytelling
- The Role of Machine Learning in Cybersecurity
- FoR2M: Recognition and Repair of Foldings in Mesh Surfaces. Application to 3D Object Degradation
- Technical Report: Combining knowledge from Transfer Learning during training and Wide Resnets
- GiDR-DUN; Gradient Dimensionality Reduction -- Differences and Unification
- Distribution Regularized Self-Supervised Learning for Domain Adaptation of Semantic Segmentation
- Misspelling Semantics In Thai
- GraphFramEx: Towards Systematic Evaluation of Explainability Methods for Graph Neural Networks
- Studying the role of named entities for content preservation in text style transfer
- EAGER: Asking and Answering Questions for Automatic Reward Shaping in Language-guided RL
- Benchmarking Constraint Inference in Inverse Reinforcement Learning
- MSANet: Multi-Similarity and Attention Guidance for Boosting Few-Shot Segmentation
- What Can be Seen is What You Get: Structure Aware Point Cloud Augmentation
- Performance Prediction in Major League Baseball by Long Short-Term Memory Networks
- A Machine Learning Data Fusion Model for Soil Moisture Retrieval
- Beyond IID: data-driven decision-making in heterogeneous environments
- A Symbolic Approach for Counterfactual Explanations
- Diversified Adversarial Attacks based on Conjugate Gradient Method
- Sampling Efficient Deep Reinforcement Learning through Preference-Guided Stochastic Exploration
- Analyzing B"uchi Automata with Graph Neural Networks
- Revisiting lp-constrained Softmax Loss: A Comprehensive Study
- SJ-HD^2R: Selective Joint High Dynamic Range and Denoising Imaging for Dynamic Scenes
- Interpretable machine learning optimization (InterOpt) for operational parameters: a case study of highly-efficient shale gas development
- Distortion-Aware Network Pruning and Feature Reuse for Real-time Video Segmentation
- Constrained Reinforcement Learning for Robotics via Scenario-Based Programming
- SPBERTQA: A Two-Stage Question Answering System Based on Sentence Transformers for Medical Texts
- Winning the CVPR'2022 AQTC Challenge: A Two-stage Function-centric Approach
- Efficient and Flexible Sublabel-Accurate Energy Minimization
- Domain-Adaptive Text Classification with Structured Knowledge from Unlabeled Data
- From Multi-agent to Multi-robot: A Scalable Training and Evaluation Platform for Multi-robot Reinforcement Learning
- 5th Place Solution for YouTube-VOS Challenge 2022: Video Object Segmentation
- Explicit and implicit models in infrared and visible image fusion
- FedSSO: A Federated Server-Side Second-Order Optimization Algorithm
- C-SENN: Contrastive Self-Explaining Neural Network
- Deep Random Vortex Method for Simulation and Inference of Navier-Stokes Equations
- Guardian Angel: A Novel Walking Aid for the Visually Impaired
- Shuffle Gaussian Mechanism for Differential Privacy
- Two-Dimensional Weisfeiler-Lehman Graph Neural Networks for Link Prediction
- A Novel Long-term Iterative Mining Scheme for Video Salient Object Detection
- Scalable Distributed Algorithms for Size-Constrained Submodular Maximization in the MapReduce and Adaptive Complexity Models
- LUT-GEMM: Quantized Matrix Multiplication based on LUTs for Efficient Inference in Large-Scale Generative Language Models
- An Empirical Analysis on the Vulnerabilities of End-to-End Speech Segregation Models
- Saliency Guided Inter- and Intra-Class Relation Constraints for Weakly Supervised Semantic Segmentation
- Capturing and Inferring Dense Full-Body Human-Scene Contact
- Dynamic Message Propagation Network for RGB-D Salient Object Detection
- Eliminating The Impossible, Whatever Remains Must Be True
- Variational Distillation for Multi-View Learning
- Policy Optimization with Linear Temporal Logic Constraints
- Meta-learning for Out-of-Distribution Detection via Density Estimation in Latent Space
- DualCoOp: Fast Adaptation to Multi-Label Recognition with Limited Annotations
- Characterizing Human Actions in the Digital Platform by Temporal Context
- Hands-on Wireless Sensing with Wi-Fi: A Tutorial
- Temporal Link Prediction via Adjusted Sigmoid Function and 2-Simplex Sructure
- Simultaneous approximation of a smooth function and its derivatives by deep neural networks with piecewise-polynomial activations
- Robust One Round Federated Learning with Predictive Space Bayesian Inference
- Multiple Testing Framework for Out-of-Distribution Detection
- C^*-algebra Net: A New Approach Generalizing Neural Network Parameters to C^*-algebra
- The Fallacy of AI Functionality