Papers
Thu 6 Jan 2022
81 papers
- Deep Causal Reasoning for RecommendationsLLM reasoning → LLM reasoning for recommendation
- Combining Reinforcement Learning and Inverse Reinforcement Learning for Asset Allocation RecommendationsOffline RL and imitation learning from data → Inverse reinforcement learning
- Exploring Kervolutional Neural Networks
- CausalKG: Causal Knowledge Graph Explainability using interventional and counterfactual reasoning
- Bitcoin Price Predictive Modeling Using Expert Correction
- De-rendering 3D Objects in the Wild
- PWM2Vec: An Efficient Embedding Approach for Viral Host Specification from Coronavirus Spike Sequences
- Learning to be adversarially robust and differentially private
- ITSA: An Information-Theoretic Approach to Automatic Shortcut Avoidance and Domain Generalization in Stereo Matching Networks
- CitySurfaces: City-Scale Semantic Segmentation of Sidewalk Materials
- Applying Word Embeddings to Measure Valence in Information Operations Targeting Journalists in Brazil
- A Keypoint Detection and Description Network Based on the Vessel Structure for Multi-Modal Retinal Image Registration
- Consistent Style Transfer
- Large-scale protein-protein post-translational modification extraction with distant supervision and confidence calibrated BioBERT
- Nonlocal Kernel Network (NKN): a Stable and Resolution-Independent Deep Neural Network
- Comprehensive RF Dataset Collection and Release: A Deep Learning-Based Device Fingerprinting Use Case
- 3D Intracranial Aneurysm Classification and Segmentation via Unsupervised Dual-branch Learning
- Realistic Full-Body Anonymization with Surface-Guided GANs
- A wearable sensor vest for social humanoid robots with GPGPU, IoT, and modular software architecture
- Admissible Policy Teaching through Reward Design
- Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets
- Reliability Estimation of an Advanced Nuclear Fuel using Coupled Active Learning, Multifidelity Modeling, and Subset Simulation
- Learning Optimal Antenna Tilt Control Policies: A Contextual Linear Bandit Approach
- Introducing Randomized High Order Fuzzy Cognitive Maps as Reservoir Computing Models: A Case Study in Solar Energy and Load Forecasting
- Topological Representations of Local Explanations
- Bio-inspired Min-Nets Improve the Performance and Robustness of Deep Networks
- Classification of Long Sequential Data using Circular Dilated Convolutional Neural Networks
- Deep Learning Assisted End-to-End Synthesis of mm-Wave Passive Networks with 3D EM Structures: A Study on A Transformer-Based Matching Network
- Treehouse: A Case For Carbon-Aware Datacenter Software
- An Opinion Mining of Text in COVID-19 Issues along with Comparative Study in ML, BERT & RNN
- The dynamics of representation learning in shallow, non-linear autoencoders
- ConTrip: Consensus Sentiment review Analysis and Platform ratings in a single score
- HyperionSolarNet: Solar Panel Detection from Aerial Images
- Deep Learning Based Classification System For Recognizing Local Spinach
- An Homogeneous Unbalanced Regularized Optimal Transport model with applications to Optimal Transport with Boundary
- BERN2: an advanced neural biomedical named entity recognition and normalization tool
- EM-driven unsupervised learning for efficient motion segmentation
- Uncertainty Quantification Techniques for Space Weather Modeling: Thermospheric Density Application
- ASL-Skeleton3D and ASL-Phono: Two Novel Datasets for the American Sign Language
- Sales Time Series Analytics Using Deep Q-Learning
- A Unified Framework for Attention-Based Few-Shot Object Detection
- Forming Predictive Features of Tweets for Decision-Making Support
- A note on efficient minimum cost adjustment sets in causal graphical models
- Bayesian Regression Approach for Building and Stacking Predictive Models in Time Series Analytics
- A Light in the Dark: Deep Learning Practices for Industrial Computer Vision
- Fortunately, Discourse Markers Can Enhance Language Models for Sentiment Analysis
- A deep learning-based model reduction (DeePMR) method for simplifying chemical kinetics
- Super-Reparametrizations of Weighted CSPs: Properties and Optimization Perspective
- Enhancing Egocentric 3D Pose Estimation with Third Person Views
- An unambiguous cloudiness index for nonwovens
- Self-Training Vision Language BERTs with a Unified Conditional Model
- PAEG: Phrase-level Adversarial Example Generation for Neural Machine Translation
- Sparsity-based Feature Selection for Anomalous Subgroup Discovery
- TransVPR: Transformer-based place recognition with multi-level attention aggregation
- An exploratory experiment on Hindi, Bengali hate-speech detection and transfer learning using neural networks
- Skip Vectors for RDF Data: Extraction Based on the Complexity of Feature Patterns
- Improving Mandarin End-to-End Speech Recognition with Word N-gram Language Model
- Jointly Efficient and Optimal Algorithms for Logistic Bandits
- Image Captioning via Compact Bidirectional Architecture
- Multi-Domain Joint Training for Person Re-Identification
- An Abstraction-Refinement Approach to Verifying Convolutional Neural Networks
- SASA: Semantics-Augmented Set Abstraction for Point-based 3D Object Detection
- Robust Linear Predictions: Analyses of Uniform Concentration, Fast Rates and Model Misspecification
- Multi-Label Classification on Remote-Sensing Images
- Efficient Global Optimization of Two-Layer ReLU Networks: Quadratic-Time Algorithms and Adversarial Training
- Diversity-boosted Generalization-Specialization Balancing for Zero-shot Learning
- HuSpaCy: an industrial-strength Hungarian natural language processing toolkit
- Federated Optimization of Smooth Loss Functions
- Aerial Scene Parsing: From Tile-level Scene Classification to Pixel-wise Semantic Labeling
- Machine Learning: Algorithms, Models, and Applications
- Efficiently Disentangle Causal Representations
- DReyeVR: Democratizing Virtual Reality Driving Simulation for Behavioural & Interaction Research
- Decompose to Adapt: Cross-domain Object Detection via Feature Disentanglement
- Egocentric Deep Multi-Channel Audio-Visual Active Speaker Localization
- Contrastive Neighborhood Alignment
- SABLAS: Learning Safe Control for Black-box Dynamical Systems
- Gaussian Imagination in Bandit Learning
- Incremental Object Grounding Using Scene Graphs
- Flow-Guided Sparse Transformer for Video Deblurring
- Memory-guided Image De-raining Using Time-Lapse Data
- Automatic Related Work Generation: A Meta Study