Papers
Wed 27 Jan 2021
136 papers
- Scheduled Sampling in Vision-Language Pretraining with Decoupled Encoder-Decoder NetworkMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Evolutionary Generative Adversarial Networks with Crossover Based Knowledge DistillationKnowledge distillation → General knowledge distillation methods
- Reinforcement Learning Assisted Beamforming for Inter-cell Interference Mitigation in 5G Massive MIMO Networks
- Subjective and Objective Quality Assessment of Mobile Gaming Video
- Indian Economy and Nighttime Lights
- On the computational and statistical complexity of over-parameterized matrix sensing
- Reinforcement Learning for Selective Key Applications in Power Systems: Recent Advances and Future Challenges
- Proceedings of the DATE Friday Workshop on System-level Design Methods for Deep Learning on Heterogeneous Architectures (SLOHA 2021)
- Discovering dependencies in complex physical systems using Neural Networks
- Meta-learning on Spectral Images of Electroencephalogram of Schizophenics
- Robust Android Malware Detection System against Adversarial Attacks using Q-Learning
- Rethinking Floating Point Overheads for Mixed Precision DNN Accelerators
- FIRe-GAN: A novel Deep Learning-based infrared-visible fusion method for wildfire imagery
- On the mapping between Hopfield networks and Restricted Boltzmann Machines
- Automated femur segmentation from computed tomography images using a deep neural network
- Compositionality Through Language Transmission, using Artificial Neural Networks
- A Multi-Scale Conditional Deep Model for Tumor Cell Ratio Counting
- Characterising Fixed Parameter Tractability of Query Evaluation over Guarded TGDs
- BOLD: Dataset and Metrics for Measuring Biases in Open-Ended Language Generation
- Knowledge-driven Natural Language Understanding of English Text and its Applications
- Multi-Modal Aesthetic Assessment for MObile Gaming Image
- Dopamine: Differentially Private Federated Learning on Medical Data
- Hadamard Extensions and the Identification of Mixtures of Product Distributions
- CNN with large memory layers
- A Hybrid 2-stage Neural Optimization for Pareto Front Extraction
- LS-HDIB: A Large Scale Handwritten Document Image Binarization Dataset
- On Statistical Bias In Active Learning: How and When To Fix It
- G-MIND: An End-to-End Multimodal Imaging-Genetics Framework for Biomarker Identification and Disease Classification
- Easy-GT: Open-Source Software to Facilitate Making the Ground Truth for White Blood Cells Nucleus
- List-Decodable Coded Computing: Breaking the Adversarial Toleration Barrier
- Predicting Participation in Cancer Screening Programs with Machine Learning
- Generative Multi-Label Zero-Shot Learning
- Bottleneck Transformers for Visual Recognition
- Shape or Texture: Understanding Discriminative Features in CNNs
- An Interpretation of Regularization by Denoising and its Application with the Back-Projected Fidelity Term
- A Convolutional Neural Network based Cascade Reconstruction for the IceCube Neutrino Observatory
- Differentiable sampling of molecular geometries with uncertainty-based adversarial attacks
- The Work of Art in an Age of Mechanical Generation
- Transformer Based Deliberation for Two-Pass Speech Recognition
- Mining Large-Scale Low-Resource Pronunciation Data From Wikipedia
- Privacy Information Classification: A Hybrid Approach
- An Integrated Localisation, Motion Planning and Obstacle Avoidance Algorithm in Belief Space
- Detecting Deepfake Videos Using Euler Video Magnification
- Wisdom of the Contexts: Active Ensemble Learning for Contextual Anomaly Detection
- Efficient Graph Deep Learning in TensorFlow with tf_geometric
- Automatic Detection of Occulted Hard X-ray Flares Using Deep-Learning Methods
- Modelling the Impact of Scandals: the case of the 2017 French Presidential Election
- Autoencoder-based Condition Monitoring and Anomaly Detection Method for Rotating Machines
- Multi-agent simulation of voter's behaviour
- Tropical Support Vector Machines: Evaluations and Extension to Function Spaces
- Syntactically Guided Generative Embeddings for Zero-Shot Skeleton Action Recognition
- NTU-X: An Enhanced Large-scale Dataset for Improving Pose-based Recognition of Subtle Human Actions
- Calibrating and Improving Graph Contrastive Learning
- Supervised Tree-Wasserstein Distance
- Investigating Bi-Level Optimization for Learning and Vision from a Unified Perspective: A Survey and Beyond
- State estimation with limited sensors -- A deep learning based approach
- Effects of Image Size on Deep Learning
- Low-skilled Occupations Face the Highest Upskilling Pressure
- Evolution of artificial intelligence languages, a systematic literature review
- A Balance for Fairness: Fair Distribution Utilising Physics in Games of Characteristic Function Form
- On the Evolution of Syntactic Information Encoded by BERT's Contextualized Representations
- K"ahler Geometry of Quiver Varieties and Machine Learning
- Deriving the Traveler Behavior Information from Social Media: A Case Study in Manhattan with Twitter
- Utilizing Uncertainty Estimation in Deep Learning Segmentation of Fluorescence Microscopy Images with Missing Markers
- Formulating and solving integrated order batching and routing in multi-depot AGV-assisted mixed-shelves warehouses
- Spatial-Channel Transformer Network for Trajectory Prediction on the Traffic Scenes
- Detecting Adversarial Examples by Input Transformations, Defense Perturbations, and Voting
- Meta Adversarial Training against Universal Patches
- Controlling by Showing: i-Mimic: A Video-based Method to Control Robotic Arms
- Adversaries in Online Learning Revisited: with applications in Robust Optimization and Adversarial training
- One Model to Serve All: Star Topology Adaptive Recommender for Multi-Domain CTR Prediction
- Reproducing kernel Hilbert C*-module and kernel mean embeddings
- Self-Calibrating Active Binocular Vision via Active Efficient Coding with Deep Autoencoders
- Learning Abstract Representations through Lossy Compression of Multi-Modal Signals
- Inheritance-guided Hierarchical Assignment for Clinical Automatic Diagnosis
- KoreALBERT: Pretraining a Lite BERT Model for Korean Language Understanding
- Anti-Aliasing Add-On for Deep Prior Seismic Data Interpolation
- An Empirical Study of Cross-Lingual Transferability in Generative Dialogue State Tracker
- An explainable Transformer-based deep learning model for the prediction of incident heart failure
- Detecting discriminatory risk through data annotation based on Bayesian inferences
- Combat Data Shift in Few-shot Learning with Knowledge Graph
- Variational Nested Dropout
- Compositional Semantics for Probabilistic Programs with Exact Conditioning
- Triangular Bidword Generation for Sponsored Search Auction
- Decision Machines: Congruent Decision Trees
- Towards Improving the Consistency, Efficiency, and Flexibility of Differentiable Neural Architecture Search
- On the Interpretability of Deep Learning Based Models for Knowledge Tracing
- A phonetic model of non-native spoken word processing
- OffCon3: What is state of the art anyway?
- Echo State Network for two-dimensional turbulent moist Rayleigh-B'enard convection
- Adversarial Stylometry in the Wild: Transferable Lexical Substitution Attacks on Author Profiling
- Learning Non-linear Wavelet Transformation via Normalizing Flow
- Multilingual and cross-lingual document classification: A meta-learning approach
- Edge-Labeling based Directed Gated Graph Network for Few-shot Learning
- How to Evaluate a Summarizer: Study Design and Statistical Analysis for Manual Linguistic Quality Evaluation
- FedH2L: Federated Learning with Model and Statistical Heterogeneity
- Language Modelling as a Multi-Task Problem
- A Note on the Representation Power of GHHs
- Deep Learning for Instance Retrieval: A Survey
- VisualMRC: Machine Reading Comprehension on Document Images
All 136
- Enquire One's Parent and Child Before Decision: Fully Exploit Hierarchical Structure for Self-Supervised Taxonomy Expansion
- TorchPRISM: Principal Image Sections Mapping, a novel method for Convolutional Neural Network features visualization
- Modeling opinion leader's role in the diffusion of innovation
- Partition of unity networks: deep hp-approximation
- Automatic Segmentation of Gross Target Volume of Nasopharynx Cancer using Ensemble of Multiscale Deep Neural Networks with Spatial Attention
- Puzzle-CAM: Improved localization via matching partial and full features
- e-ACJ: Accurate Junction Extraction For Event Cameras
- Efficient Video Summarization Framework using EEG and Eye-tracking Signals
- Convolutional Neural Network-Based Age Estimation Using B-Mode Ultrasound Tongue Image
- Im2Mesh GAN: Accurate 3D Hand Mesh Recovery from a Single RGB Image
- GaitGraph: Graph Convolutional Network for Skeleton-Based Gait Recognition
- Reciprocal Landmark Detection and Tracking with Extremely Few Annotations
- Multi-Instance Pose Networks: Rethinking Top-Down Pose Estimation
- Automatic image annotation base on Naive Bayes and Decision Tree classifiers using MPEG-7
- Learning task-agnostic representation via toddler-inspired learning
- Automated Crop Field Surveillance using Computer Vision
- PPT: Parsimonious Parser Transfer for Unsupervised Cross-Lingual Adaptation
- Towards Robustness to Label Noise in Text Classification via Noise Modeling
- FGNET-RH: Fine-Grained Named Entity Typing via Refinement in Hyperbolic Space
- Adversarial Active Learning based Heterogeneous Graph Neural Network for Fake News Detection
- Joint Coreference Resolution and Character Linking for Multiparty Conversation
- Achieving Linear Speedup with Partial Worker Participation in Non-IID Federated Learning
- Similarity of Classification Tasks
- Safe Multi-Agent Reinforcement Learning via Shielding
- Arbitrary-Oriented Ship Detection through Center-Head Point Extraction
- GymD2D: A Device-to-Device Underlay Cellular Offload Evaluation Platform
- DeepOIS: Gyroscope-Guided Deep Optical Image Stabilizer Compensation
- Solar Radiation Ramping Events Modeling Using Spatio-temporal Point Processes
- Neural Sentence Ordering Based on Constraint Graphs
- LSOIE: A Large-Scale Dataset for Supervised Open Information Extraction
- Graph Neural Network for Traffic Forecasting: A Survey
- On the Importance of Capturing a Sufficient Diversity of Perspective for the Classification of micro-PCBs
- Inadequacy of Linear Methods for Minimal Sensor Placement and Feature Selection in Nonlinear Systems; a New Approach Using Secants
- Fundamental limits and algorithms for sparse linear regression with sublinear sparsity
- Exploring multi-task multi-lingual learning of transformer models for hate speech and offensive speech identification in social media
- Accuracy and Privacy Evaluations of Collaborative Data Analysis