Papers
Wed 16 Feb 2022
163 papers
- Meta Knowledge DistillationKnowledge distillation → General knowledge distillation methods
- Knowledge Distillation with Deep SupervisionKnowledge distillation → General knowledge distillation methods
- MSCET: A Multi-Scenario Offloading Schedule for Biomedical Data Processing and Analysis in Cloud-Edge-Terminal Collaborative Vehicular Networks
- A Predictive Model for Student Performance in Classrooms Using Student Interactions With an eTextbook
- Trusted Data Forever: Is AI the Answer?
- Question-Answer Sentence Graph for Joint Modeling Answer Selection
- Multi-View Fusion Transformer for Sensor-Based Human Activity Recognition
- Exploiting Side Information for Improved Online Learning Algorithms in Wireless Networks
- Subtyping brain diseases from imaging data
- Convex Surrogate Loss Functions for Contextual Pricing with Transaction Data
- Ensemble Learning techniques for object detection in high-resolution satellite images
- Guidelines and Evaluation of Clinical Explainable AI in Medical Image Analysis
- A Survey of Ad Hoc Teamwork Research
- VRConvMF: Visual Recurrent Convolutional Matrix Factorization for Movie Recommendation
- Edge Data Based Trailer Inception Probabilistic Matrix Factorization for Context-Aware Movie Recommendation
- Playing against no-regret players
- Soft Actor-Critic Deep Reinforcement Learning for Fault Tolerant Flight Control
- The Response Shift Paradigm to Quantify Human Trust in AI Recommendations
- Cyclical Focal Loss
- Fairness constraint in Structural Econometrics and Application to fair estimation using Instrumental Variables
- Probing Pretrained Models of Source Code
- Multimodal Emotion Recognition using Transfer Learning from Speaker Recognition and BERT-based models
- How to Fill the Optimum Set? Population Gradient Descent with Harmless Diversity
- CAREER: A Foundation Model for Labor Sequence Data
- Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision
- Learning Smooth Neural Functions via Lipschitz Regularization
- Anomalib: A Deep Learning Library for Anomaly Detection
- A Developmentally-Inspired Examination of Shape versus Texture Bias in Machines
- Single-shot Hyper-parameter Optimization for Federated Learning: A General Algorithm & Analysis
- Task-Agnostic Graph Explanations
- Self-Supervised Representation Learning via Latent Graph Prediction
- CortexODE: Learning Cortical Surface Reconstruction by Neural ODEs
- A Data-Augmentation Is Worth A Thousand Samples: Exact Quantification From Analytical Augmented Sample Moments
- TorchDrug: A Powerful and Flexible Machine Learning Platform for Drug Discovery
- FAMIE: A Fast Active Learning Framework for Multilingual Information Extraction
- Improved Differential Privacy for SGD via Optimal Private Linear Operators on Adaptive Streams
- Single Trajectory Nonparametric Learning of Nonlinear Dynamics
- Contextualize differential privacy in image database: a lightweight image differential privacy approach based on principle component analysis inverse
- OpenKBP-Opt: An international and reproducible evaluation of 76 knowledge-based planning pipelines
- Cost-Efficient Distributed Learning via Combinatorial Multi-Armed Bandits
- The learning phases in NN: From Fitting the Majority to Fitting a Few
- Controlling Epidemic Spread using Probabilistic Diffusion Models on Networks
- More to Less (M2L): Enhanced Health Recognition in the Wild with Reduced Modality of Wearable Sensors
- Open-Ended Reinforcement Learning with Neural Reward Functions
- XAI in the context of Predictive Process Monitoring: Too much to Reveal
- Phase Aberration Robust Beamformer for Planewave US Using Self-Supervised Learning
- Evaluation and Analysis of Different Aggregation and Hyperparameter Selection Methods for Federated Brain Tumor Segmentation
- On Learning and Enforcing Latent Assessment Models using Binary Feedback from Human Auditors Regarding Black-Box Classifiers
- A multi-reconstruction study of breast density estimation using Deep Learning
- Using the left Gram matrix to cluster high dimensional data
- Data Augmentation for Deep Graph Learning: A Survey
- Quantum Lazy Training
- Ditto: Building Digital Twins of Articulated Objects from Interaction
- TalkTive: A Conversational Agent Using Backchannels to Engage Older Adults in Neurocognitive Disorders Screening
- Less is More: Surgical Phase Recognition from Timestamp Supervision
- Analysis of Random Sequential Message Passing Algorithms for Approximate Inference
- Nuclei Segmentation with Point Annotations from Pathology Images via Self-Supervised Learning and Co-Training
- Flexible-Modal Face Anti-Spoofing: A Benchmark
- Differential Privacy and Fairness in Decisions and Learning Tasks: A Survey
- The Adversarial Security Mitigations of mmWave Beamforming Prediction Models using Defensive Distillation and Adversarial Retraining
- An Intrusion Response System utilizing Deep Q-Networks and System Partitions
- Geometry of the Minimum Volume Confidence Sets
- Generative modeling with projected entangled-pair states
- Bias and unfairness in machine learning models: a systematic literature review
- GraphNLI: A Graph-based Natural Language Inference Model for Polarity Prediction in Online Debates
- Towards Battery-Free Machine Learning and Inference in Underwater Environments
- Distributed k-Means with Outliers in General Metrics
- Capitalization Normalization for Language Modeling with an Accurate and Efficient Hierarchical RNN Model
- Voice Filter: Few-shot text-to-speech speaker adaptation using voice conversion as a post-processing module
- Domain Adaptive Fake News Detection via Reinforcement Learning
- A Prospective Approach for Human-to-Human Interaction Recognition from Wi-Fi Channel Data using Attention Bidirectional Gated Recurrent Neural Network with GUI Application Implementation
- Bias in Automated Image Colorization: Metrics and Error Types
- FUN-SIS: a Fully UNsupervised approach for Surgical Instrument Segmentation
- When Did It Happen? Duration-informed Temporal Localization of Narrated Actions in Vlogs
- A data-driven approach for learning to control computers
- Prospect Pruning: Finding Trainable Weights at Initialization using Meta-Gradients
- Processing the structure of documents: Logical Layout Analysis of historical newspapers in French
- XFBoost: Improving Text Generation with Controllable Decoders
- Measuring Unintended Memorisation of Unique Private Features in Neural Networks
- Learning to Adapt to Light
- Latent Outlier Exposure for Anomaly Detection with Contaminated Data
- Extended Unconstrained Features Model for Exploring Deep Neural Collapse
- Reasoning with fuzzy and uncertain evidence using epistemic random fuzzy sets: general framework and practical models
- On Measuring Excess Capacity in Neural Networks
- A Polyhedral Study of Lifted Multicuts
- Learning a Single Neuron for Non-monotonic Activation Functions
- Information Extraction in Low-Resource Scenarios: Survey and Perspective
- Understanding and Improving Graph Injection Attack by Promoting Unnoticeability
- HDC-MiniROCKET: Explicit Time Encoding in Time Series Classification with Hyperdimensional Computing
- Image translation of Ultrasound to Pseudo Anatomical Display by CycleGAN
- Decorrelate Irrelevant, Purify Relevant: Overcome Textual Spurious Correlations from a Feature Perspective
- Learning to Generalize across Domains on Single Test Samples
- Explainability of Predictive Process Monitoring Results: Can You See My Data Issues?
- A Review of Topological Data Analysis for Cybersecurity
- No One Left Behind: Inclusive Federated Learning over Heterogeneous Devices
- Code Search based on Context-aware Code Translation
- Diagnosing Batch Normalization in Class Incremental Learning
- Continuously Learning to Detect People on the Fly: A Bio-inspired Visual System for Drones
- Toward Development of Machine Learned Techniques for Production of Compact Kinetic Models
- Towards Identifying Social Bias in Dialog Systems: Frame, Datasets, and Benchmarks
All 163
- 360 Depth Estimation in the Wild -- The Depth360 Dataset and the SegFuse Network
- Should You Mask 15% in Masked Language Modeling?
- Deep Koopman Operator with Control for Nonlinear Systems
- DeepTx: Deep Learning Beamforming with Channel Prediction
- Branching Reinforcement Learning
- Planckian Jitter: countering the color-crippling effects of color jitter on self-supervised training
- Improved analysis of randomized SVD for top-eigenvector approximation
- ADIMA: Abuse Detection In Multilingual Audio
- On the Self Shuffle Language
- Out-Of-Distribution Generalization on Graphs: A Survey
- ADAM Challenge: Detecting Age-related Macular Degeneration from Fundus Images
- m-Nearly k-Universal Words -- Investigating Simon Congruence
- Querying Inconsistent Prioritized Data with ORBITS: Algorithms, Implementation, and Experiments
- On loss functions and evaluation metrics for music source separation
- GAN Estimation of Lipschitz Optimal Transport Maps
- Revisiting Parameter-Efficient Tuning: Are We Really There Yet?
- Temporal Difference Learning with Continuous Time and State in the Stochastic Setting
- EdgeFormer: A Parameter-Efficient Transformer for On-Device Seq2seq Generation
- Robust Nonparametric Distribution Forecast with Backtest-based Bootstrap and Adaptive Residual Selection
- Unified smoke and fire detection in an evolutionary framework with self-supervised progressive data augment
- TimeREISE: Time-series Randomized Evolving Input Sample Explanation
- Clustering Enabled Few-Shot Load Forecasting
- ActionFormer: Localizing Moments of Actions with Transformers
- ZeroGen: Efficient Zero-shot Learning via Dataset Generation
- HousE: Knowledge Graph Embedding with Householder Parameterization
- Can Deep Learning be Applied to Model-Based Multi-Object Tracking?
- Singing-Tacotron: Global duration control attention and dynamic filter for End-to-end singing voice synthesis
- When Does A Spectral Graph Neural Network Fail in Node Classification?
- Auxiliary Cross-Modal Representation Learning with Triplet Loss Functions for Online Handwriting Recognition
- Aryl: An Elastic Cluster Scheduler for Deep Learning
- Enhancing Causal Estimation through Unlabeled Offline Data
- Knowledge Transfer from Large-scale Pretrained Language Models to End-to-end Speech Recognizers
- A Survey of Pretraining on Graphs: Taxonomy, Methods, and Applications
- Online Control of Unknown Time-Varying Dynamical Systems
- rmC small IS2: A Simplified Commonsense Inference Evaluation for Story Prose
- IPD:An Incremental Prototype based DBSCAN for large-scale data with cluster representatives
- Data-Driven Minimax Optimization with Expectation Constraints
- Practical Network Acceleration with Tiny Sets
- ITTC @ TREC 2021 Clinical Trials Track
- Graph-Augmented Normalizing Flows for Anomaly Detection of Multiple Time Series
- The NLP Task Effectiveness of Long-Range Transformers
- Conversational Speech Recognition By Learning Conversation-level Characteristics
- Singularity: Planet-Scale, Preemptive and Elastic Scheduling of AI Workloads
- PCRP: Unsupervised Point Cloud Object Retrieval and Pose Estimation
- Application of Long Short-Term Memory Recurrent Neural Networks Based on the BAT-MCS for Binary-State Network Approximated Time-Dependent Reliability Problems
- SecGNN: Privacy-Preserving Graph Neural Network Training and Inference as a Cloud Service
- Heterogeneous Graph Learning for Explainable Recommendation over Academic Networks
- CycleGAN for Undamaged-to-Damaged Domain Translation for Structural Health Monitoring and Damage Detection
- Spatial Transformer K-Means
- CenGCN: Centralized Convolutional Networks with Vertex Imbalance for Scale-Free Graphs
- Reducing Overconfidence Predictions for Autonomous Driving Perception
- RNGDet: Road Network Graph Detection by Transformer in Aerial Images
- Segmentation and Risk Score Prediction of Head and Neck Cancers in PET/CT Volumes with 3D U-Net and Cox Proportional Hazard Neural Networks
- A Survey of Semen Quality Evaluation in Microscopic Videos Using Computer Assisted Sperm Analysis
- Cross-view and Cross-domain Underwater Localization based on Optical Aerial and Acoustic Underwater Images
- ProsoSpeech: Enhancing Prosody With Quantized Vector Pre-training in Text-to-Speech
- Applying adversarial networks to increase the data efficiency and reliability of Self-Driving Cars
- Policy Learning and Evaluation with Randomized Quasi-Monte Carlo
- Code Generation for Unknown Libraries via Reading API Documentations
- Generative Adversarial Network-Driven Detection of Adversarial Tasks in Mobile Crowdsensing
- Not All Patches are What You Need: Expediting Vision Transformers via Token Reorganizations
- BB-ML: Basic Block Performance Prediction using Machine Learning Techniques
- Low Latency Real-Time Seizure Detection Using Transfer Deep Learning