Papers
Sat 7 Aug 2021
63 papers
- Spatio-Temporal Attention Mechanism and Knowledge Distillation for Lip ReadingKnowledge distillation → Speech and audio distillation
- Membership Inference Attacks on Lottery Ticket NetworksLLM safety and security → Membership inference attacks
- Unsupervised learning of anomalous diffusion dataDiffusion models → Diffusion foundations and sampling
- Detecting Propaganda Techniques in Memes
- W2v-BERT: Combining Contrastive Learning and Masked Language Modeling for Self-Supervised Speech Pre-Training
- GANmapper: geographical data translation
- OSCAR-Net: Object-centric Scene Graph Attention for Image Attribution
- Cough Detection Using Selected Informative Features from Audio Signals
- Reducing Annotating Load: Active Learning with Synthetic Images in Surgical Instrument Segmentation
- Improving Similar Language Translation With Transfer Learning
- Learning to Transfer with von Neumann Conditional Divergence
- Machine Learning Assisted Security Analysis of 5G-Network-Connected Systems
- Compositional Generalization in Multilingual Semantic Parsing over Wikidata
- The Effect of Training Parameters and Mechanisms on Decentralized Federated Learning based on MNIST Dataset
- ContinuityLearner: Geometric Continuity Feature Learning for Lane Segmentation
- DeepFH Segmentations for Superpixel-based Object Proposal Refinement
- Fine-tuning GPT-3 for Russian Text Summarization
- Learning GAN-based Foveated Reconstruction to Recover Perceptually Important Image Features
- Kinematics clustering enables head impact subtyping for better traumatic brain injury prediction
- Approximate Last Iterate Convergence in Overparameterized GANs
- Clustering Algorithms to Analyze the Road Traffic Crashes
- Impact of Aliasing on Generalization in Deep Convolutional Networks
- An empirical assessment of deep learning approaches to task-oriented dialog management
- Solution Enumeration by Optimality in Answer Set Programming
- A distillation based approach for the diagnosis of diseases
- Unsupervised Portrait Shadow Removal via Generative Priors
- A k-mer Based Approach for SARS-CoV-2 Variant Identification
- Stereo Waterdrop Removal with Row-wise Dilated Attention
- A Unified Model for Zero-shot Music Source Separation, Transcription and Synthesis
- Rethinking of AlphaStar
- Self-learning sparse PCA for multimode process monitoring
- A Machine Learning Tool to Determine State of Mind and Emotion
- NODEO: A Neural Ordinary Differential Equation Based Optimization Framework for Deformable Image Registration
- Clustering Large Data Sets with Incremental Estimation of Low-density Separating Hyperplanes
- Towards Discriminative Representation Learning for Unsupervised Person Re-identification
- Secure Neuroimaging Analysis using Federated Learning with Homomorphic Encryption
- NASOA: Towards Faster Task-oriented Online Fine-tuning with a Zoo of Models
- Enhancing MR Image Segmentation with Realistic Adversarial Data Augmentation
- PSViT: Better Vision Transformer via Token Pooling and Attention Sharing
- Learning Facial Representations from the Cycle-consistency of Face
- Information Bottleneck Approach to Spatial Attention Learning
- Vision Transformer for femur fracture classification
- Controllable Summarization with Constrained Markov Decision Process
- Missing Data Estimation in Temporal Multilayer Position-aware Graph Neural Network (TMP-GNN)
- Jointly Attacking Graph Neural Network and its Explanations
- Artificial Intelligence-Driven Customized Manufacturing Factory: Key Technologies, Applications, and Challenges
- A Categorized Reflection Removal Dataset with Diverse Real-world Scenes
- Learning Indoor Layouts from Simple Point-Clouds
- Generating Personalized Dialogue via Multi-Task Meta-Learning
- Temporal Action Localization Using Gated Recurrent Units
- What a million Indian farmers say?: A crowdsourcing-based method for pest surveillance
- Neighborhood Consensus Contrastive Learning for Backward-Compatible Representation
- A Logical Characterization of the Preferred Models of Logic Programs with Ordered Disjunction
- On Measures of Biases and Harms in NLP
- DySR: A Dynamic Representation Learning and Aligning based Model for Service Bundle Recommendation
- A Survey on Cross-domain Recommendation: Taxonomies, Methods, and Future Directions
- HelpViz: Automatic Generation of Contextual Visual MobileTutorials from Text-Based Instructions
- HetEmotionNet: Two-Stream Heterogeneous Graph Recurrent Neural Network for Multi-modal Emotion Recognition
- Screen2Words: Automatic Mobile UI Summarization with Multimodal Learning
- Global Self-Attention as a Replacement for Graph Convolution
- Real-time Geo-localization Using Satellite Imagery and Topography for Unmanned Aerial Vehicles
- Tiny Neural Models for Seq2Seq
- Efficient Representation for Electric Vehicle Charging Station Operations using Reinforcement Learning