Papers
Sun 8 Aug 2021
71 papers
- Learning an Augmented RGB Representation with Cross-Modal Knowledge Distillation for Action DetectionKnowledge distillation → Multimodal distillation
- Efficacy of BERT embeddings on predicting disaster from Twitter data
- Prediction of Students performance with Artificial Neural Network using Demographic Traits
- LT-OCF: Learnable-Time ODE-based Collaborative Filtering
- Towards real-world navigation with deep differentiable planners
- MuCoMiD: A Multitask Convolutional Learning Framework for miRNA-Disease Association Prediction
- An Empirical Study on Predictability of Software Code Smell Using Deep Learning Models
- Empirical Analysis on Effectiveness of NLP Methods for Predicting Code Smell
- TDLS: A Top-Down Layer Searching Algorithm for Generating Counterfactual Visual Explanation
- An optical biomimetic eyes with interested object imaging
- Deep Transfer Learning for Identifications of Slope Surface Cracks
- Symptom based Hierarchical Classification of Diabetes and Thyroid disorders using Fuzzy Cognitive Maps
- Unsupervised Learning of Fine Structure Generation for 3D Point Clouds by 2D Projection Matching
- Hierarchical View Predictor: Unsupervised 3D Global Feature Learning through Hierarchical Prediction among Unordered Views
- Machine Translation of Low-Resource Indo-European Languages
- Leveraging Commonsense Knowledge on Classifying False News and Determining Checkworthiness of Claims
- Learning Proxemic Behavior Using Reinforcement Learning with Cognitive Agents
- Improving Inference from Simple Instruments through Compliance Estimation
- Meta-Reinforcement Learning in Broad and Non-Parametric Environments
- On the Difficulty of Generalizing Reinforcement Learning Framework for Combinatorial Optimization
- Generalizing Dynamic Mode Decomposition: Balancing Accuracy and Expressiveness in Koopman Approximations
- Online Bootstrap Inference For Policy Evaluation in Reinforcement Learning
- OVIS: Open-Vocabulary Visual Instance Search via Visual-Semantic Aligned Representation Learning
- Audio Spectral Enhancement: Leveraging Autoencoders for Low Latency Reconstruction of Long, Lossy Audio Sequences
- BIGRoC: Boosting Image Generation via a Robust Classifier
- Alignment of Tractography Streamlines using Deformation Transfer via Parallel Transport
- Event-driven Vision and Control for UAVs on a Neuromorphic Chip
- Enhanced Invertible Encoding for Learned Image Compression
- Joint Inductive and Transductive Learning for Video Object Segmentation
- AMDet: A Tool for Mitotic Cell Detection in Histopathology Slides
- RECALL: Replay-based Continual Learning in Semantic Segmentation
- #StayHome or #Marathon? Social Media Enhanced Pandemic Surveillance on Spatial-temporal Dynamic Graphs
- Discriminative Latent Semantic Graph for Video Captioning
- One-Shot Object Affordance Detection in the Wild
- Skeleton-Contrastive 3D Action Representation Learning
- Joint Depth and Normal Estimation from Real-world Time-of-flight Raw Data
- From Voxel to Point: IoU-guided 3D Object Detection for Point Cloud with Voxel-to-Point Decoder
- AdaAttN: Revisit Attention Mechanism in Arbitrary Neural Style Transfer
- Online Evolutionary Batch Size Orchestration for Scheduling Deep Learning Workloads in GPU Clusters
- Image reconstruction in light-sheet microscopy: spatially varying deconvolution and mixed noise
- Saliency-Associated Object Tracking
- Efficient Light Field Reconstruction via Spatio-Angular Dense Network
- Anchor-free 3D Single Stage Detector with Mask-Guided Attention for Point Cloud
- Deep Neural Network for DrawiNg Networks, (DNN)^2
- WideCaps: A Wide Attention based Capsule Network for Image Classification
- Unifying Heterogeneous Electronic Health Records Systems via Text-Based Code Embedding
- MPI: Multi-receptive and Parallel Integration for Salient Object Detection
- Monte Carlo DropBlock for Modelling Uncertainty in Object Detection
- An EM Framework for Online Incremental Learning of Semantic Segmentation
- Triplet Contrastive Learning for Brain Tumor Classification
- Understanding the computational demands underlying visual reasoning
- Using Biological Variables and Social Determinants to Predict Malaria and Anemia among Children in Senegal
- Identification of Play Styles in Universal Fighting Engine
- ZiGAN: Fine-grained Chinese Calligraphy Font Generation via a Few-shot Style Transfer Approach
- MAF-GNN: Multi-adaptive Spatiotemporal-flow Graph Neural Network for Traffic Speed Forecasting
- FederatedNILM: A Distributed and Privacy-preserving Framework for Non-intrusive Load Monitoring based on Federated Deep Learning
- A Look at the Evaluation Setup of the M5 Forecasting Competition
- Ensemble neuroevolution based approach for multivariate time series anomaly detection
- Visible Watermark Removal via Self-calibrated Localization and Background Refinement
- Expressive Power and Loss Surfaces of Deep Learning Models
- Language Model Evaluation in Open-ended Text Generation
- BeatNet: CRNN and Particle Filtering for Online Joint Beat Downbeat and Meter Tracking
- Robust 1-bit Compressive Sensing with Partial Gaussian Circulant Matrices and Generative Priors
- LeafMask: Towards Greater Accuracy on Leaf Segmentation
- Combining machine learning and data assimilation to forecast dynamical systems from noisy partial observations
- Context-Aware Mixup for Domain Adaptive Semantic Segmentation
- Rapid Automated Analysis of Skull Base Tumor Specimens Using Intraoperative Optical Imaging and Artificial Intelligence
- Semantic-Based Explainable AI: Leveraging Semantic Scene Graphs and Pairwise Ranking to Explain Robot Failures
- Self-Adversarial Disentangling for Specific Domain Adaptation
- Disentangled High Quality Salient Object Detection
- Recurrent Graph Neural Networks for Rumor Detection in Online Forums