Papers
Sun 14 Mar 2021
61 papers
- Offline Reinforcement Learning with Fisher Divergence Critic RegularizationOffline RL and imitation learning from data → Offline RL algorithms
- Investigating Value of Curriculum Reinforcement Learning in Autonomous Driving Under Diverse Road and Weather ConditionsEnd-to-end autonomous driving → Reinforcement learning for driving
- Membership Inference Attacks on Machine Learning: A SurveyLLM safety and security → Membership inference attacks
- SemVLP: Vision-Language Pre-training by Aligning Semantics at Multiple LevelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Continuous normalizing flows on manifolds
- A novel weighted approach for time series forecasting based on visibility graph
- AngryBERT: Joint Learning Target and Emotion for Hate Speech Detection
- DeepHate: Hate Speech Detection via Multi-Faceted Text Representations
- DeepStyle: User Style Embedding for Authorship Attribution of Short Texts
- From Static to Dynamic Prediction: Wildfire Risk Assessment Based on Multiple Environmental Factors
- Are deep learning models superior for missing data imputation in large surveys? Evidence from an empirical comparison
- Exact Sparse Orthogonal Dictionary Learning
- A Hybrid Gradient Method to Designing Bayesian Experiments for Implicit Models
- Quasi-Equivalence Discovery for Zero-Shot Emergent Communication
- Versailles-FP dataset: Wall Detection in Ancient
- RecSim NG: Toward Principled Uncertainty Modeling for Recommender Ecosystems
- Crowdsourced Phrase-Based Tokenization for Low-Resourced Neural Machine Translation: The Case of Fon Language
- A Modified Batch Intrinsic Plasticity Method for Pre-training the Random Coefficients of Extreme Learning Machines
- BreakingBED -- Breaking Binary and Efficient Deep Neural Networks by Adversarial Attacks
- A Scalable Gradient-Free Method for Bayesian Experimental Design with Implicit Models
- Success Weighted by Completion Time: A Dynamics-Aware Evaluation Criteria for Embodied Navigation
- Transient growth of accelerated optimization algorithms
- Claim Verification using a Multi-GAN based Model
- Deep Tiling: Texture Tile Synthesis Using a Deep Learning Approach
- Pre-interpolation loss behaviour in neural networks
- COVID-19 Infection Localization and Severity Grading from Chest X-ray Images
- TransFG: A Transformer Architecture for Fine-grained Recognition
- CrossoverScheduler: Overlapping Multiple Distributed Training Applications in a Crossover Manner
- Progressive residual learning for single image dehazing
- Monte Carlo Scene Search for 3D Scene Understanding
- Active Dynamical Prospection: Modeling Mental Simulation as Particle Filtering for Sensorimotor Control during Pathfinding
- Use of static surrogates in hyperparameter optimization
- Diagrammatic Differentiation for Quantum Machine Learning
- A new interpretable unsupervised anomaly detection method based on residual explanation
- Software Architecture for ML-based Systems: What Exists and What Lies Ahead
- Von Mises-Fisher Elliptical Distribution
- Learning One Representation to Optimize All Rewards
- Modular Interactive Video Object Segmentation: Interaction-to-Mask, Propagation and Difference-Aware Fusion
- Semi-Supervised Video Deraining with Dynamical Rain Generator
- Learning needle insertion from sample task executions
- Scale-aware Neural Network for Semantic Segmentation of Multi-resolution Remote Sensing Images
- Gym-ANM: Reinforcement Learning Environments for Active Network Management Tasks in Electricity Distribution Systems
- A Systematic Review of Reproducibility Research in Natural Language Processing
- Modelling Behavioural Diversity for Learning in Open-Ended Games
- Simulation Studies on Deep Reinforcement Learning for Building Control with Human Interaction
- Towards Generalizable and Robust Face Manipulation Detection via Bag-of-local-feature
- Bangla Handwritten Digit Recognition and Generation
- Principled Ultrasound Data Augmentation for Classification of Standard Planes
- Refer-it-in-RGBD: A Bottom-up Approach for 3D Visual Grounding in RGBD Images
- DivCo: Diverse Conditional Image Synthesis via Contrastive Generative Adversarial Network
- Learning a Proposal Classifier for Multiple Object Tracking
- Multi-view data capture for dynamic object reconstruction using handheld augmented reality mobiles
- R-GSN: The Relation-based Graph Similar Network for Heterogeneous Graph
- Learning a Word-Level Language Model with Sentence-Level Noise Contrastive Estimation for Contextual Sentence Probability Estimation
- VCNet and Functional Targeted Regularization For Learning Causal Effects of Continuous Treatments
- Mean Field Game GAN
- Three Steps to Multimodal Trajectory Prediction: Modality Clustering, Classification and Synthesis
- Improving Code Summarization with Block-wise Abstract Syntax Tree Splitting
- Cycle4Completion: Unpaired Point Cloud Completion using Cycle Transformation with Missing Region Coding
- A `Sourceful' Twist: Emoji Prediction Based on Sentiment, Hashtags and Application Source
- Radar Camera Fusion via Representation Learning in Autonomous Driving