Papers
Fri 13 Aug 2021
90 papers
- A Dynamic Topic Identification and Labeling Approach of COVID-19 Tweets
- Unsupervised Learning for Target Tracking and Background Subtraction in Satellite Imagery
- Incremental Learning for Personalized Recommender Systems
- Generalized Optimal Linear Orders
- Feature Recommendation for Structural Equation Model Discovery in Process Mining
- MTG: A Benchmark Suite for Multilingual Text Generation
- FrankMocap: A Monocular 3D Whole-Body Pose Estimation System via Regression and Integration
- Metadata-based Multi-Task Bandits with Bayesian Hierarchical Models
- GeoCLR: Georeference Contrastive Learning for Efficient Seafloor Image Interpretation
- Is Pseudo-Lidar needed for Monocular 3D Object detection?
- The Sharpe predictor for fairness in machine learning
- Optimal and Efficient Algorithms for General Mixable Losses against Switching Oracles
- Planning with Incomplete Information in Quantified Answer Set Programming
- Finding Representative Interpretations on Convolutional Neural Networks
- DensePASS: Dense Panoramic Semantic Segmentation via Unsupervised Domain Adaptation with Attention-Augmented Context Exchange
- Detecting OODs as datapoints with High Uncertainty
- Near-Optimal Reviewer Splitting in Two-Phase Paper Reviewing and Conference Experiment Design
- Dual Path Learning for Domain Adaptation of Semantic Segmentation
- FlipDA: Effective and Robust Data Augmentation for Few-Shot Learning
- Low-Resource Adaptation of Open-Domain Generative Chatbots
- Continual Backprop: Stochastic Gradient Descent with Persistent Randomness
- Towards Efficient Point Cloud Graph Neural Networks Through Architectural Simplification
- A Dataset for Answering Time-Sensitive Questions
- MeetSum: Transforming Meeting Transcript Summarization using Transformers!
- Spatio-Temporal Split Learning
- 3D point cloud segmentation using GIS
- Context Aware Object Geotagging
- Diachronic Analysis of German Parliamentary Proceedings: Ideological Shifts through the Lens of Political Biases
- Random Subspace Mixture Models for Interpretable Anomaly Detection
- Modal-Adaptive Gated Recoding Network for RGB-D Salient Object Detection
- Understanding Structural Vulnerability in Graph Convolutional Networks
- On Single and Multiple Representations in Dense Passage Retrieval
- Towards Structured Dynamic Sparse Pre-Training of BERT
- Enhancing audio quality for expressive Neural Text-to-Speech
- Safe Learning in Robotics: From Learning-Based Control to Safe Reinforcement Learning
- A reduced-order modeling framework for simulating signatures of faults in a bladed disk
- Bridging the gap between emotion and joint action
- MINT -- Mainstream and Independent News Text Corpus
- Optical Adversarial Attack
- An Interpretable Algorithm for Uveal Melanoma Subtyping from Whole Slide Cytology Images
- Jasmine: A New Active Learning Approach to Combat Cybercrime
- Online Fairness-Aware Learning with Imbalanced Data Streams
- Generative Zero-Shot Learning for Semantic Segmentation of 3D Point Clouds
- One-shot Transfer Learning for Population Mapping
- SimCVD: Simple Contrastive Voxel-Wise Representation Distillation for Semi-Supervised Medical Image Segmentation
- Data-driven advice for interpreting local and global model predictions in bioinformatics problems
- CNN-based Two-Stage Parking Slot Detection Using Region-Specific Multi-Scale Feature Extraction
- Detecting socially interacting groups using f-formation: A survey of taxonomy, methods, datasets, applications, challenges, and future research directions
- SPACE: A Simulator for Physical Interactions and Causal Learning in 3D Environments
- Evaluating the Robustness of Semantic Segmentation for Autonomous Driving against Real-World Adversarial Patch Attacks
- Follow the Prophet: Accurate Online Conversion Rate Prediction in the Face of Delayed Feedback
- IFR: Iterative Fusion Based Recognizer For Low Quality Scene Text Recognition
- Caption Generation on Scenes with Seen and Unseen Object Categories
- Reinforcement Learning for Robot Navigation with Adaptive Forward Simulation Time (AFST) in a Semi-Markov Model
- Robustness testing of AI systems: A case study for traffic sign recognition
- NIAPU: network-informed adaptive positive-unlabeled learning for disease gene identification
- EEEA-Net: An Early Exit Evolutionary Neural Architecture Search
- Conditional DETR for Fast Training Convergence
- Q-Mixing Network for Multi-Agent Pathfinding in Partially Observable Grid Environments
- Full-resolution quality assessment for pansharpening
- Semantic Answer Similarity for Evaluating Question Answering Models
- Learning Transferable Parameters for Unsupervised Domain Adaptation
- Pruning vs XNOR-Net: A Comprehensive Study of Deep Learning for Audio Classification on Edge-devices
- Effective semantic segmentation in Cataract Surgery: What matters most?
- UMFA: A photorealistic style transfer method based on U-Net and multi-layer feature aggregation
- Aspect Sentiment Triplet Extraction Using Reinforcement Learning
- Bi-Temporal Semantic Reasoning for the Semantic Change Detection in HR Remote Sensing Images
- FedPara: Low-Rank Hadamard Product for Communication-Efficient Federated Learning
- Multi-Stage Graph Peeling Algorithm for Probabilistic Core Decomposition
- SVC-onGoing: Signature Verification Competition
- A Generative Adversarial Framework for Optimizing Image Matting and Harmonization Simultaneously
- The Stability-Efficiency Dilemma: Investigating Sequence Length Warmup for Training GPT Models
- TDM: Trustworthy Decision-Making via Interpretability Enhancement
- PVT: Point-Voxel Transformer for Point Cloud Learning
- Coupling Model-Driven and Data-Driven Methods for Remote Sensing Image Restoration and Fusion
- Progressive Representative Labeling for Deep Semi-Supervised Learning
- Zero-shot Task Transfer for Invoice Extraction via Class-aware QA Ensemble
- Knowledge Graph Reasoning with Relational Digraph
- Co-GAIL: Learning Diverse Strategies for Human-Robot Collaboration
- An Information-theoretic Perspective of Hierarchical Clustering
- Track without Appearance: Learn Box and Tracklet Embedding with Local and Global Motion Patterns for Vehicle Tracking
- DeepIC: Coding for Interference Channels via Deep Learning
- PAIR: Leveraging Passage-Centric Similarity Relation for Improving Dense Passage Retrieval
- CODEs: Chamfer Out-of-Distribution Examples against Overconfidence Issue
- AGKD-BML: Defense Against Adversarial Attack by Attention Guided Knowledge Distillation and Bi-directional Metric Learning
- TPRM: A Topic-based Personalized Ranking Model for Web Search
- Datasets for Studying Generalization from Easy to Hard Examples
- GQE-PRF: Generative Query Expansion with Pseudo-Relevance Feedback
- SAR image matching algorithm based on multi-class features
- HPTMT Parallel Operators for High Performance Data Science & Data Engineering