Papers
Fri 11 Mar 2022
151 papers
- A New Learning Paradigm for Stochastic Configuration Network: SCN+Knowledge distillation → General knowledge distillation methods
- Deep Class Incremental Learning from Decentralized DataKnowledge distillation → Federated, robust and private distillation
- An Interpretable Neuro-Symbolic Reasoning Framework for Task-Oriented Dialogue GenerationLLM reasoning → Reasoning benchmarks and evaluation
- Near-optimal Offline Reinforcement Learning with Linear Representation: Leveraging Variance Information with PessimismOffline RL and imitation learning from data → Offline RL algorithms
- Reinforcement Learning for Linear Quadratic Control is Vulnerable Under Cost ManipulationOffline RL and imitation learning from data → Offline RL algorithms
- Hierarchical BERT for Medical Document Understanding
- Survey on Automated Short Answer Grading with Deep Learning: from Word Embeddings to Transformers
- DHEN: A Deep and Hierarchical Ensemble Network for Large-Scale Click-Through Rate Prediction
- Technologies for AI-Driven Fashion Social Networking Service with E-Commerce
- An integrated Auto Encoder-Block Switching defense approach to prevent adversarial attacks
- Local neural operator for solving transient partial differential equations on varied domains
- DeepTrust: A Reliable Financial Knowledge Retrieval Framework For Explaining Extreme Pricing Anomalies
- Interpretable machine learning in Physics
- A Survey of Non-Rigid 3D Registration
- Block-Recurrent Transformers
- A Mixed Integer Programming Approach for Verifying Properties of Binarized Neural Networks
- A Robust Approach for the Decomposition of High-Energy-Consuming Industrial Loads with Deep Learning
- Impression Allocation and Policy Search in Display Advertising
- Neural Forecasting of the Italian Sovereign Bond Market with Economic News
- Toward Ethical AIED
- Ensemble plasticity and network adaptability in SNNs
- Learning from Attacks: Attacking Variational Autoencoder for Improving Image Classification
- Bit-Metric Decoding Rate in Multi-User MIMO Systems: Applications
- Bit-Metric Decoding Rate in Multi-User MIMO Systems: Theory
- Parameter Inference of Time Series by Delay Embeddings and Learning Differentiable Operators
- Preliminary experiments on automatic gender recognition based on online capital letters
- Cross-lingual Inference with A Chinese Entailment Graph
- Perception Over Time: Temporal Dynamics for Robust Image Understanding
- Combining imitation and deep reinforcement learning to accomplish human-level performance on a virtual foraging task
- Sampling Bias Correction for Supervised Machine Learning: A Bayesian Inference Approach with Practical Applications
- CoDA21: Evaluating Language Understanding Capabilities of NLP Models With Context-Definition Alignment
- verBERT: Automating Brazilian Case Law Document Multi-label Categorization Using BERT
- Generalized Key-Value Memory to Flexibly Adjust Redundancy in Memory-Augmented Networks
- Learning cardiac activation maps from 12-lead ECG with multi-fidelity Bayesian optimization on manifolds
- Medical Image Segmentation on MRI Images with Missing Modalities: A Review
- Can I see an Example? Active Learning the Long Tail of Attributes and Relations
- TrafPS: A Visual Analysis System Interpreting Traffic Prediction in Shapley
- Staged Training for Transformer Language Models
- Leveraging universality of jet taggers through transfer learning
- When classifying grammatical role, BERT doesn't care about word order... except when it matters
- GSDA: Generative Adversarial Network-based Semi-Supervised Data Augmentation for Ultrasound Image Classification
- More Than a Toy: Random Matrix Models Predict How Real-World Neural Representations Generalize
- Masked Visual Pre-training for Motor Control
- Deep AutoAugment
- LaPraDoR: Unsupervised Pretrained Dense Retriever for Zero-Shot Text Retrieval
- Personalized Execution Time Optimization for Billion-Scale Scheduled Jobs
- Symmetry Group Equivariant Architectures for Physics
- Moral Dilemmas for Moral Machines
- Neuromorphic Data Augmentation for Training Spiking Neural Networks
- Spatial Consistency Loss for Training Multi-Label Classifiers from Single-Label Annotations
- Prediction Sets Adaptive to Unknown Covariate Shift
- Protein Representation Learning by Geometric Structure Pretraining
- GATSPI: GPU Accelerated Gate-Level Simulation for Power Improvement
- Detection of multiple retinal diseases in ultra-widefield fundus images using deep learning: data-driven identification of relevant regions
- Multi-sensor large-scale dataset for multi-view 3D reconstruction
- Active Token Mixer
- REX: Reasoning-aware and Grounded Explanation
- Pitfalls of Epistemic Uncertainty Quantification through Loss Minimisation
- WLASL-LEX: a Dataset for Recognising Phonological Properties in American Sign Language
- LFW-Beautified: A Dataset of Face Images with Beautification and Augmented Reality Filters
- Econometric Modeling of Intraday Electricity Market Price with Inadequate Historical Data
- TAPE: Task-Agnostic Prior Embedding for Image Restoration
- Active Evaluation: Efficient NLG Evaluation with Few Pairwise Comparisons
- ROOD-MRI: Benchmarking the robustness of deep learning segmentation models to out-of-distribution and corrupted data in MRI
- Identifying Causal Effects using Instrumental Time Series: Nuisance IV and Correcting for the Past
- A Machine Learning Approach for Prosumer Management in Intraday Electricity Markets
- Universally Consistent Online Learning with Arbitrarily Dependent Responses
- Sparse Subspace Clustering for Concept Discovery (SSCCD)
- Embedding Earth: Self-supervised contrastive pre-training for dense land cover classification
- Exploiting Low-Rank Tensor-Train Deep Neural Networks Based on Riemannian Gradient Descent With Illustrations of Speech Processing
- The Role of ImageNet Classes in Fr'echet Inception Distance
- Enhancing Adversarial Training with Second-Order Statistics of Weights
- Towards Self-Supervised Learning of Global and Object-Centric Representations
- Graph Neural Networks for Relational Inductive Bias in Vision-based Deep Reinforcement Learning of Robot Control
- PseudoProp: Robust Pseudo-Label Generation for Semi-Supervised Object Detection in Autonomous Driving Systems
- Peng Cheng Object Detection Benchmark for Smart City
- Block-Sparse Adversarial Attack to Fool Transformer-Based Text Classifiers
- Hybrid Artifact Detection System for Minute Resolution Blood Pressure Signals from ICU
- Saliency-Driven Versatile Video Coding for Neural Object Detection
- PD-Flow: A Point Cloud Denoising Framework with Normalizing Flows
- Are discrete units necessary for Spoken Language Modeling?
- FedSyn: Synthetic Data Generation using Federated Learning
- TFCNet: Temporal Fully Connected Networks for Static Unbiased Temporal Reasoning
- Visualizing and Understanding Patch Interactions in Vision Transformer
- Generalized Bandit Regret Minimizer Framework in Imperfect Information Extensive-Form Game
- Graph Summarization with Graph Neural Networks
- Integrating Dependency Tree Into Self-attention for Sentence Representation
- Cross-Layer Approximation For Printed Machine Learning Circuits
- BabyNet: Reconstructing 3D faces of babies from uncalibrated photographs
- Identifiability of Causal-based Fairness Notions: A State of the Art
- Achieving Reliable Human Assessment of Open-Domain Dialogue Systems
- Hyperbolic Image Segmentation
- DRTAM: Dual Rank-1 Tensor Attention Module
- Video Coding for Machines with Feature-Based Rate-Distortion Optimization
- Multi-modal Graph Learning for Disease Prediction
- Wireless Quantized Federated Learning: A Joint Computation and Communication Design
- A Sentence is Worth 128 Pseudo Tokens: A Semantic-Aware Contrastive Learning Framework for Sentence Embeddings
- Using Word Embeddings to Analyze Protests News
- Human Silhouette and Skeleton Video Synthesis through Wi-Fi signals
- Automatic Fine-grained Glomerular Lesion Recognition in Kidney Pathology
All 151
- Flexible Amortized Variational Inference in qBOLD MRI
- Multiple Inputs Neural Networks for Medicare fraud Detection
- Automatic Identification and Classification of Bragging in Social Media
- MLRM: A Multiple Linear Regression based Model for Average Temperature Prediction of A Day
- WiCV 2021: The Eighth Women In Computer Vision Workshop
- Learning Discriminative Representations and Decision Boundaries for Open Intent Detection
- aiWave: Volumetric Image Compression with 3-D Trained Affine Wavelet-like Transform
- ZIN: When and How to Learn Invariance Without Environment Partition?
- No Free Lunch Theorem for Security and Utility in Federated Learning
- Averaging Spatio-temporal Signals using Optimal Transport and Soft Alignments
- Reprogramming FairGANs with Variational Auto-Encoders: A New Transfer Learning Model
- Font Shape-to-Impression Translation
- Improve Convolutional Neural Network Pruning by Maximizing Filter Variety
- Long Time No See! Open-Domain Conversation with Long-Term Persona Memory
- Democratizing Contrastive Language-Image Pre-training: A CLIP Benchmark of Data, Model, and Supervision
- BERTopic: Neural topic modeling with a class-based TF-IDF procedure
- PathSAGE: Spatial Graph Attention Neural Networks With Random Path Sampling
- FLAG: Flow-based 3D Avatar Generation from Sparse Observations
- Democracy Does Matter: Comprehensive Feature Mining for Co-Salient Object Detection
- AI-enabled Automatic Multimodal Fusion of Cone-Beam CT and Intraoral Scans for Intelligent 3D Tooth-Bone Reconstruction and Clinical Applications
- Overcoming Temptation: Incentive Design For Intertemporal Choice
- Acoustic To Articulatory Speech Inversion Using Multi-Resolution Spectro-Temporal Representations Of Speech Signals
- A Thermodynamics-informed Active Learning Approach to Perception and Reasoning about Fluids
- Research on Parallel SVM Algorithm Based on Cascade SVM
- Dual reparametrized Variational Generative Model for Time-Series Forecasting
- Tevatron: An Efficient and Flexible Toolkit for Dense Retrieval
- Federated Remote Physiological Measurement with Imperfect Data
- A comparative study of non-deep learning, deep learning, and ensemble learning methods for sunspot number prediction
- Active Phase-Encode Selection for Slice-Specific Fast MR Scanning Using a Transformer-Based Deep Reinforcement Learning Framework
- Classification from Positive and Biased Negative Data with Skewed Labeled Posterior Probability
- Semi-constraint Optimal Transport for Entity Alignment with Dangling Cases
- QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization
- Learning Distinctive Margin toward Active Domain Adaptation
- An Efficient Video Streaming Architecture with QoS Control for Virtual Desktop Infrastructure in Cloud Computing
- A Survey of Surface Defect Detection of Industrial Products Based on A Small Number of Labeled Data
- Dual-Domain Reconstruction Networks with V-Net and K-Net for fast MRI
- Information-Theoretic Odometry Learning
- Bayesian inference via sparse Hamiltonian flows
- Evaluating U-net Brain Extraction for Multi-site and Longitudinal Preclinical Stroke Imaging
- Computational Image-based Stroke Assessment for Evaluation of Cerebroprotectants with Longitudinal and Multi-site Preclinical MRI
- Towards Scale Consistent Monocular Visual Odometry by Learning from the Virtual World
- Synopses of Movie Narratives: a Video-Language Dataset for Story Understanding
- Towards Bi-directional Skip Connections in Encoder-Decoder Architectures and Beyond
- Machine Learning Based Multimodal Neuroimaging Genomics Dementia Score for Predicting Future Conversion to Alzheimer's Disease
- DNN Training Acceleration via Exploring GPGPU Friendly Sparsity
- Deep Binary Reinforcement Learning for Scalable Verification
- Geometric Synthesis: A Free lunch for Large-scale Palmprint Recognition Model Pretraining
- 6-DoF Pose Estimation of Household Objects for Robotic Manipulation: An Accessible Dataset and Benchmark
- Learning-based Localizability Estimation for Robust LiDAR Localization
- Toward Efficient Hyperspectral Image Processing inside Camera Pixels
- Lifelong Adaptive Machine Learning for Sensor-based Human Activity Recognition Using Prototypical Networks