Papers
Sat 2 Oct 2021
58 papers
- BRAC+: Improved Behavior Regularized Actor Critic for Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
- Cycle-Consistent World Models for Domain Independent Latent ImaginationWorld models → World models for autonomous driving +1
- Using Out-of-the-Box Frameworks for Contrastive Unpaired Image Translation for Vestibular Schwannoma and Cochlea Segmentation: An approach for the crossMoDA Challenge
- Weakly Supervised Attention-based Models Using Activation Maps for Citrus Mite and Insect Pest Classification
- Incremental Non-Gaussian Inference for SLAM Using Normalizing Flows
- Fast Line Search for Multi-Task Learning
- Feel-Good Thompson Sampling for Contextual Bandits and Reinforcement Learning
- BdSL36: A Dataset for Bangladeshi Sign Letters Recognition
- A Case Study to Reveal if an Area of Interest has a Trend in Ongoing Tweets Using Word and Sentence Embeddings
- Probabilistic Prediction for Binary Treatment Choice: with focus on personalized medicine
- Implicit and Explicit Attention for Zero-Shot Learning
- A Comparative Study of Sentiment Analysis Using NLP and Different Machine Learning Techniques on US Airline Twitter Data
- FairFed: Enabling Group Fairness in Federated Learning
- SurvTRACE: Transformers for Survival Analysis with Competing Events
- Efficient and passive learning of networked dynamical systems driven by non-white exogenous inputs
- A Robust Alternative for Graph Convolutional Neural Networks via Graph Neighborhood Filters
- SHARP: Shielding-Aware Robust Planning for Safe and Efficient Human-Robot Interaction
- Mapping Language to Programs using Multiple Reward Components with Inverse Reinforcement Learning
- Transfer Learning Approaches for Knowledge Discovery in Grid-based Geo-Spatiotemporal Data
- Induction, Popper, and machine learning
- AI Back-End as a Service for Learning Switching of Mobile Apps between the Fog and the Cloud
- Artificial intelligence for Sustainable Energy: A Contextual Topic Modeling and Content Analysis
- Calibrated Multiple-Output Quantile Regression with Representation Learning
- Consider the Alternatives: Navigating Fairness-Accuracy Tradeoffs via Disqualification
- Characterizing SARS-CoV-2 Spike Sequences Based on Geographical Location
- Swiss-Judgment-Prediction: A Multilingual Legal Judgment Prediction Benchmark
- ProTo: Program-Guided Transformer for Program-Guided Tasks
- Welsch Based Multiview Disparity Estimation
- Aspect Sentiment Quad Prediction as Paraphrase Generation
- Learning Models as Functionals of Signed-Distance Fields for Manipulation Planning
- Optimizing Neural Network for Computer Vision task in Edge Device
- Inference-InfoGAN: Inference Independence via Embedding Orthogonal Basis Expansion
- Seeking Visual Discomfort: Curiosity-driven Representations for Reinforcement Learning
- Automated Seed Quality Testing System using GAN & Active Learning
- Minimizing LR(1) State Machines is NP-Hard
- TopiOCQA: Open-domain Conversational Question Answering with Topic Switching
- Generating User-Centred Explanations via Illocutionary Question Answering: From Philosophy to Interfaces
- Making Things Explainable vs Explaining: Requirements and Challenges under the GDPR
- Explainable Event Recognition
- Partner-Aware Algorithms in Decentralized Cooperative Bandit Teams
- End-to-End Complex-Valued Multidilated Convolutional Neural Network for Joint Acoustic Echo Cancellation and Noise Suppression
- Random Subgraph Detection Using Queries
- FICGAN: Facial Identity Controllable GAN for De-identification
- Simplify Your Law: Using Information Theory to Deduplicate Legal Documents
- Implementation of MPPT Technique of Solar Module with Supervised Machine Learning
- Domain-Specific Bias Filtering for Single Labeled Domain Generalization
- Complex Spin Hamiltonian Represented by Artificial Neural Network
- Is There More Pattern in Knowledge Graph? Exploring Proximity Pattern for Knowledge Graph Embedding
- One-Bit Matrix Completion with Differential Privacy
- An Optimization-Based Meta-Learning Model for MRI Reconstruction with Diverse Dataset
- Improving Zero-shot Multilingual Neural Machine Translation for Low-Resource Languages
- Asking questions on handwritten document collections
- Universal Adversarial Spoofing Attacks against Face Recognition
- OSCAR: Data-Driven Operational Space Control for Adaptive and Robust Robot Manipulation
- Light Field Saliency Detection with Dual Local Graph Learning andReciprocative Guidance
- Clustering and Network Analysis for the Embedding Spaces of Sentences and Sub-Sentences
- Deep Learning for Rain Fade Prediction in Satellite Communications
- A Theoretical Overview of Neural Contraction Metrics for Learning-based Control with Guaranteed Stability