Papers
Mon 9 Aug 2021
139 papers
- Classification Auto-Encoder based Detector against Diverse Data Poisoning AttacksLLM safety and security → Backdoor and data poisoning attacks
- FiLMing Multimodal Sarcasm Detection with Attention
- Anomaly Detection Based on Generalized Gaussian Distribution approach for Ultra-Wideband (UWB) Indoor Positioning System
- An Interpretable Approach to Hateful Meme Detection
- TB-ICT: A Trustworthy Blockchain-Enabled System for Indoor COVID-19 Contact Tracing
- An Extensible Benchmark Suite for Learning to Simulate Physical Systems
- Towards artificially intelligent recycling Improving image processing for waste classification
- Disentangling Hate in Online Memes
- An Intelligent Recommendation-cum-Reminder System
- Intelligence as information processing: brains, swarms, and computers
- Deep2Lead: A distributed deep learning application for small molecule lead optimization
- ChemiRise: a data-driven retrosynthesis engine
- RaftMLP: How Much Can Be Done Without Attention and with Less Spatial Locality?
- Making Transformers Solve Compositional Tasks
- Sample Observed Effects: Enumeration, Randomization and Generalization
- Extending LIME for Business Process Automation
- COMPARE: A Taxonomy and Dataset of Comparison Discussions in Peer Reviews
- Explainable AI and susceptibility to adversarial attacks: a case study in classification of breast ultrasound images
- Towards a Generic Multimodal Architecture for Batch and Streaming Big Data Integration
- Natural Numerical Networks for Natura 2000 habitats classification by satellite images
- AnyoneNet: Synchronized Speech and Talking Head Generation for Arbitrary Person
- Generating Music and Generative Art from Brain activity
- Do Datasets Have Politics? Disciplinary Values in Computer Vision Dataset Development
- Learning to Cut by Watching Movies
- ACE: A Novel Approach for the Statistical Analysis of Pairwise Connectivity
- Visual SLAM with Graph-Cut Optimized Multi-Plane Reconstruction
- Automated Olfactory Bulb Segmentation on High Resolutional T2-Weighted MRI
- Classification of Influenza Hemagglutinin Protein Sequences using Convolutional Neural Networks
- Neural Network Repair with Reachability Analysis
- AutoVideo: An Automated Video Action Recognition System
- Meta Gradient Adversarial Attack
- Modal Logic S5 Satisfiability in Answer Set Programming
- Harnessing Incremental Answer Set Solving for Reasoning in Assumption-Based Argumentation
- On the Power of Differentiable Learning versus PAC and SQ Learning
- Scaling New Peaks: A Viewership-centric Approach to Automated Content Curation
- Pose is all you need: The pose only group activity recognition system (POGARS)
- Novel scorpion detection system combining computer vision and fluorescence
- Distributionally Robust Segmentation of Abnormal Fetal Brain 3D MRI
- Johnson-Lindenstrauss Lemma, Linear and Nonlinear Random Projections, Random Fourier Features, and Random Kitchen Sinks: Tutorial and Survey
- Using Deep Learning for Visual Decoding and Reconstruction from Brain Activity: A Review
- Training very large scale nonlinear SVMs using Alternating Direction Method of Multipliers coupled with the Hierarchically Semi-Separable kernel approximations
- No-Reference Image Quality Assessment by Hallucinating Pristine Features
- Long-Horizon Manipulation of Unknown Objects via Task and Motion Planning with Estimated Affordances
- Earables for Detection of Bruxism: a Feasibility Study
- Reachability Analysis of Neural Feedback Loops
- Segmentation-free Heart Pathology Detection Using Deep Learning
- Manifold-aware Synthesis of High-resolution Diffusion from Structural Imaging
- Improved Feature Importance Computations for Tree Models: Shapley vs. Banzhaf
- Transfer Learning Gaussian Anomaly Detection by Fine-tuning Representations
- Modified Double DQN: addressing stability
- Team Power Dynamics and Team Impact: New Perspectives on Scientific Collaboration using Career Age as a Proxy for Team Power
- Identifying Wetland Areas in Historical Maps using Deep Convolutional Neural Networks
- Noisy Channel Language Model Prompting for Few-Shot Text Classification
- Towards better data discovery and collection with flow-based programming
- Zero in on Shape: A Generic 2D-3D Instance Similarity Metric learned from Synthetic Data
- Classification and Visualization of Genotype x Phenotype Interactions in Biomass Sorghum
- Leveraging Uncertainty for Improved Static Malware Detection Under Extreme False Positive Constraints
- Aspect-based Sentiment Analysis in Document -- FOMC Meeting Minutes on Economic Projection
- The Role of Global Labels in Few-Shot Classification and How to Infer Them
- Training of deep residual networks with stochastic MG/OPT
- A Streamwise GAN Vocoder for Wideband Speech Coding at Very Low Bit Rate
- Multi-modal Retrieval of Tables and Texts Using Tri-encoder Models
- Detecting Visual Design Principles in Art and Architecture through Deep Convolutional Neural Networks
- Two-stream Convolutional Networks for Multi-frame Face Anti-spoofing
- DGEM: A New Dual-modal Graph Embedding Method in Recommendation System
- Tensor Yard: One-Shot Algorithm of Hardware-Friendly Tensor-Train Decomposition for Convolutional Neural Networks
- Image Retrieval on Real-life Images with Pre-trained Vision-and-Language Models
- DRINet: A Dual-Representation Iterative Learning Network for Point Cloud Segmentation
- FOLASP: FO(.) as Input Language for Answer Ser Solvers
- Deep Learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge
- Dynamic Multi-Scale Loss Optimization for Object Detection
- Uncertainty quantification for industrial design using dictionaries of reduced order models
- Transductive Few-Shot Classification on the Oblique Manifold
- Development of Human Motion Prediction Strategy using Inception Residual Block
- TriTransNet: RGB-D Salient Object Detection with a Triplet Transformer Embedding Network
- Spatial-Temporal Deep Intention Destination Networks for Online Travel Planning
- Knowledge accumulating: The general pattern of learning
- A Credibility-aware Swarm-Federated Deep Learning Framework in Internet of Vehicles
- Efficient Majority Voting in Digital Hardware
- VeRLPy: Python Library for Verification of Digital Designs with Reinforcement Learning
- BERT-based distractor generation for Swedish reading comprehension questions using a small-scale dataset
- Not quite there yet: Combining analogical patterns and encoder-decoder networks for cognitively plausible inflection
- A Framework for Joint Unsupervised Learning of Cluster-Aware Embedding for Heterogeneous Networks
- Safe Deep Reinforcement Learning for Multi-Agent Systems with Continuous Action Spaces
- On the Hyperparameters in Stochastic Gradient Descent with Momentum
- A Neural Approach for Detecting Morphological Analogies
- Deep Learning Based Antenna-time Domain Channel Extrapolation for Hybrid mmWave Massive MIMO
- Model architecture can transform catastrophic forgetting into positive transfer
- On the Transferability of Neural Models of Morphological Analogies
- 3D Human Reconstruction in the Wild with Collaborative Aerial Cameras
- The State of AI Ethics Report (Volume 5)
- FA-GAN: Fused Attentive Generative Adversarial Networks for MRI Image Super-Resolution
- Selective Light Field Refocusing for Camera Arrays Using Bokeh Rendering and Superresolution
- LatticeNet: Fast Spatio-Temporal Point Cloud Segmentation Using Permutohedral Lattices
- Unified Regularity Measures for Sample-wise Learning and Generalization
- "What makes my queries slow?": Subgroup Discovery for SQL Workload Analysis
- Sinogram Denoise Based on Generative Adversarial Networks
- Completion and Augmentation based Spatiotemporal Deep Learning Approach for Short-Term Metro Origin-Destination Matrix Prediction under Limited Observable Data
- Faster Exact MPE and Constrained Optimization with Deterministic Finite State Automata
- Deep Convolutional Neural Network for Low Projection SPECT Imaging Reconstruction
All 139
- FIFA: Fast Inference Approximation for Action Segmentation
- Self-supervised Learning of Occlusion Aware Flow Guided 3D Geometry Perception with Adaptive Cross Weighted Loss from Monocular Videos
- Probabilistic Active Learning for Active Class Selection
- SPECT Angle Interpolation Based on Deep Learning Methodologies
- Efficient Hyperparameter Optimization for Differentially Private Deep Learning
- Collapsing the Decision Tree: the Concurrent Data Predictor
- Do Images really do the Talking? Analysing the significance of Images in Tamil Troll meme classification
- Legislator Representation Learning with Social Context and Expert Knowledge
- NeuralMVS: Bridging Multi-View Stereo and Novel View Synthesis
- Rain Removal and Illumination Enhancement Done in One Go
- Adaptive Anomaly Detection for Internet of Things in Hierarchical Edge Computing: A Contextual-Bandit Approach
- TransForensics: Image Forgery Localization with Dense Self-Attention
- Safe Vessel Navigation Visually Aided by Autonomous Unmanned Aerial Vehicles in Congested Harbors and Waterways
- KGAP: Knowledge Graph Augmented Political Perspective Detection in News Media
- GAN Computers Generate Arts? A Survey on Visual Arts, Music, and Literary Text Generation using Generative Adversarial Network
- Complementary Patch for Weakly Supervised Semantic Segmentation
- The HW-TSC's Offline Speech Translation Systems for IWSLT 2021 Evaluation
- Online Minimax Multiobjective Optimization: Multicalibeating and Other Applications
- Bob and Alice Go to a Bar: Reasoning About Future With Probabilistic Programs
- Regularizing Nighttime Weirdness: Efficient Self-supervised Monocular Depth Estimation in the Dark
- Weakly-Supervised Spatio-Temporal Anomaly Detection in Surveillance Video
- AA-RMVSNet: Adaptive Aggregation Recurrent Multi-view Stereo Network
- Towards to Robust and Generalized Medical Image Segmentation Framework
- Video Annotation for Visual Tracking via Selection and Refinement
- DistillPose: Lightweight Camera Localization Using Auxiliary Learning
- Time-Frequency Localization Using Deep Convolutional Maxout Neural Network in Persian Speech Recognition
- P-WAE: Generalized Patch-Wasserstein Autoencoder for Anomaly Screening
- Low-Complexity Algorithm for Restless Bandits with Imperfect Observations
- PSGR: Pixel-wise Sparse Graph Reasoning for COVID-19 Pneumonia Segmentation in CT Images
- Mis-spoke or mis-lead: Achieving Robustness in Multi-Agent Communicative Reinforcement Learning
- COVID-view: Diagnosis of COVID-19 using Chest CT
- Paint Transformer: Feed Forward Neural Painting with Stroke Prediction
- Toward Human-Level Artificial Intelligence
- Boundary-aware Graph Reasoning for Semantic Segmentation
- Learning Joint Embedding with Modality Alignments for Cross-Modal Retrieval of Recipes and Food Images
- Multi-Slice Net: A novel light weight framework for COVID-19 Diagnosis
- Pathfinder: Parallel quasi-Newton variational inference
- PASS: Protected Attribute Suppression System for Mitigating Bias in Face Recognition
- EVGen: Adversarial Networks for Learning Electric Vehicle Charging Loads and Hidden Representations