Papers
Fri 1 Jan 2021
68 papers
- Inverse reinforcement learning for autonomous navigation via differentiable semantic mapping and planningOffline RL and imitation learning from data → Imitation and offline RL for driving
- Active Learning Under Malicious Mislabeling and Poisoning AttacksLLM safety and security → Backdoor and data poisoning attacks
- A Multi-disciplinary Ensemble Algorithm for Clustering Heterogeneous Datasets
- Key Phrase Extraction & Applause Prediction
- Socially Responsible AI Algorithms: Issues, Purposes, and Challenges
- Bilateral Grid Learning for Stereo Matching Networks
- Learning the Predictability of the Future
- An Artificial Intelligence System for Combined Fruit Detection and Georeferencing, Using RTK-Based Perspective Projection in Drone Imagery
- Biologically Inspired Hexagonal Deep Learning for Hexagonal Image Generation
- Neural Architecture Search via Combinatorial Multi-Armed Bandit
- TenIPS: Inverse Propensity Sampling for Tensor Completion
- Subtype-aware Unsupervised Domain Adaptation for Medical Diagnosis
- Identity-aware Facial Expression Recognition in Compressed Video
- Energy-constrained Self-training for Unsupervised Domain Adaptation
- Quantifying Spatial Homogeneity of Urban Road Networks via Graph Neural Networks
- Interval Type-2 Enhanced Possibilistic Fuzzy C-Means Clustering for Gene Expression Data Analysis
- When Is Generalizable Reinforcement Learning Tractable?
- Analyzing Commonsense Emergence in Few-shot Knowledge Models
- Iranis: A Large-scale Dataset of Farsi License Plate Characters
- Rider: Reader-Guided Passage Reranking for Open-Domain Question Answering
- Polyjuice: Generating Counterfactuals for Explaining, Evaluating, and Improving Models
- An Ontology Design Pattern for representing Recurrent Situations
- A General Counterexample to Any Decision Theory and Some Responses
- VisualSparta: An Embarrassingly Simple Approach to Large-scale Text-to-Image Search with Weighted Bag-of-words
- Code Generation from Natural Language with Less Prior and More Monolingual Data
- Efficient Learning-based Scheduling for Information Freshness in Wireless Networks
- The Bayesian Method of Tensor Networks
- A Survey on Deep Reinforcement Learning for Audio-Based Applications
- Adam revisited: a weighted past gradients perspective
- On Stochastic Variance Reduced Gradient Method for Semidefinite Optimization
- Subformer: Exploring Weight Sharing for Parameter Efficiency in Generative Transformers
- Cutting-edge 3D Medical Image Segmentation Methods in 2020: Are Happy Families All Alike?
- Adaptive Deconvolution-based stereo matching Net for Local Stereo Matching
- An iterative K-FAC algorithm for Deep Learning
- Brain Tumor Detection and Classification based on Hybrid Ensemble Classifier
- Improved Neural Network based Plant Diseases Identification
- A Hybrid MLP-SVM Model for Classification using Spatial-Spectral Features on Hyper-Spectral Images
- On a Faster R-Linear Convergence Rate of the Barzilai-Borwein Method
- BanglaBERT: Language Model Pretraining and Benchmarks for Low-Resource Language Understanding Evaluation in Bangla
- B-SMALL: A Bayesian Neural Network approach to Sparse Model-Agnostic Meta-Learning
- More than just an auxiliary loss: Anti-spoofing Backbone Training via Adversarial Pseudo-depth Generation
- On Explaining Your Explanations of BERT: An Empirical Study with Sequence Classification
- Detecting residues of cosmic events using residual neural network
- Dynamic Federated Learning-Based Economic Framework for Internet-of-Vehicles
- Prefix-Tuning: Optimizing Continuous Prompts for Generation
- Early Prediction of Heart Disease Using PCA and Hybrid Genetic Algorithm with k-Means
- Transformer based Automatic COVID-19 Fake News Detection System
- UnitedQA: A Hybrid Approach for Open Domain Question Answering
- CIZSL++: Creativity Inspired Generative Zero-Shot Learning
- Generative Deep Learning for Virtuosic Classical Music: Generative Adversarial Networks as Renowned Composers
- Unifying Discourse Resources with Dependency Framework
- ECG-Based Driver Stress Levels Detection System Using Hyperparameter Optimization
- How Do Your Biomedical Named Entity Recognition Models Generalize to Novel Entities?
- Fidel: Reconstructing Private Training Samples from Weight Updates in Federated Learning
- DISCOS: Bridging the Gap between Discourse Knowledge and Commonsense Knowledge
- Graphmax for Text Generation
- DVD: A Diagnostic Dataset for Multi-step Reasoning in Video Grounded Dialogue
- Multi-Grid Back-Projection Networks
- Bilingual Lexicon Induction via Unsupervised Bitext Construction and Word Alignment
- De-identifying Australian Hospital Discharge Summaries: An End-to-End Framework using Ensemble of Deep Learning Models
- Faults in Deep Reinforcement Learning Programs: A Taxonomy and A Detection Approach
- NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned
- Sensei: Self-Supervised Sensor Name Segmentation
- Discourse-level Relation Extraction via Graph Pooling
- Intent Classification and Slot Filling for Privacy Policies
- Generative Max-Mahalanobis Classifiers for Image Classification, Generation and More
- WARP: Word-level Adversarial ReProgramming
- Multi-task Retrieval for Knowledge-Intensive Tasks