Papers
Fri 22 Jan 2021
111 papers
- Maximum Likelihood Training of Score-Based Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- Prior Preference Learning from Experts:Designing a Reward with Active InferenceLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Social and behavioral determinants of health in the era of artificial intelligence with electronic health records: A scoping review
- Baseline Pruning-Based Approach to Trojan Detection in Neural Networks
- Neural networks for Anatomical Therapeutic Chemical (ATC) classification
- Using Finite-State Machines to Automatically Scan Classical Greek Hexameter
- SkillNER: Mining and Mapping Soft Skills from any Text
- On managing vulnerabilities in AI/ML systems
- HANA: A HAndwritten NAme Database for Offline Handwritten Text Recognition
- A Review on Deep Learning in UAV Remote Sensing
- Application of Lexical Features Towards Improvement of Filipino Readability Identification of Children's Literature
- Surrogate Models for Optimization of Dynamical Systems
- Fringe News Networks: Dynamics of US News Viewership following the 2020 Presidential Election
- SGD-Net: Efficient Model-Based Deep Learning with Theoretical Guarantees
- The Role of Edges in Line Drawing Perception
- Slot Self-Attentive Dialogue State Tracking
- Effects of Pre- and Post-Processing on type-based Embeddings in Lexical Semantic Change Detection
- On the Local Linear Rate of Consensus on the Stiefel Manifold
- BERT Transformer model for Detecting Arabic GPT2 Auto-Generated Tweets
- AI-Empowered VNF Migration as a Cost-Loss-Effective Solution for Network Resilience
- A Comprehensive Survey on Hardware-Aware Neural Architecture Search
- Theory of Mind for Deep Reinforcement Learning in Hanabi
- Generating Black-Box Adversarial Examples in Sparse Domain
- Vessel-CAPTCHA: an efficient learning framework for vessel annotation and segmentation
- A systematic literature review on state-of-the-art deep learning methods for process prediction
- Machine Learning in LiDAR 3D point clouds
- Tighter expected generalization error bounds via Wasserstein distance
- k-Neighbor Based Curriculum Sampling for Sequence Prediction
- Drug and Disease Interpretation Learning with Biomedical Entity Representation Transformer
- Towards Optimal Branching of Linear and Semidefinite Relaxations for Neural Network Robustness Certification
- i-Algebra: Towards Interactive Interpretability of Deep Neural Networks
- A Novel Genetic Algorithm with Hierarchical Evaluation Strategy for Hyperparameter Optimisation of Graph Neural Networks
- Safe Learning Reference Governor: Theory and Application to Fuel Truck Rollover Avoidance
- Censorship of Online Encyclopedias: Implications for NLP Models
- Predicting Autism Spectrum Disorder Using Machine Learning Classifiers
- Beyond Domain APIs: Task-oriented Conversational Modeling with Unstructured Knowledge Access Track in DSTC9
- Representation of Context-Specific Causal Models with Observational and Interventional Data
- Automatic Cerebral Vessel Extraction in TOF-MRA Using Deep Learning
- Extracting Lifestyle Factors for Alzheimer's Disease from Clinical Notes Using Deep Learning with Weak Supervision
- Expression Recognition Analysis in the Wild
- Where does the Stimulus go? Deep Generative Model for Commercial Banking Deposits
- Nigraha: Machine-learning based pipeline to identify and evaluate planet candidates from TESS
- Continual Learning of Generative Models with Limited Data: From Wasserstein-1 Barycenter to Adaptive Coalescence
- Graphical Models for Financial Time Series and Portfolio Selection
- Differentiable Trust Region Layers for Deep Reinforcement Learning
- It Takes Two to Tango: Combining Visual and Textual Information for Detecting Duplicate Video-Based Bug Reports
- Dense outlier detection and open-set recognition based on training with noisy negative images
- Gravity Optimizer: a Kinematic Approach on Optimization in Deep Learning
- Tensor-Train Networks for Learning Predictive Modeling of Multidimensional Data
- Estimating α-Rank by Maximizing Information Gain
- Understanding Visual Saliency in Mobile User Interfaces
- Sparsistent filtering of comovement networks from high-dimensional data
- The Impact of Multiple Parallel Phrase Suggestions on Email Input and Composition Behaviour of Native and Non-Native English Writers
- Streaming Models for Joint Speech Recognition and Translation
- Traffic Flow Estimation using LTE Radio Frequency Counters and Machine Learning
- A Study of Continuous Vector Representationsfor Theorem Proving
- Multi-hop RIS-Empowered Terahertz Communications: A DRL-based Hybrid Beamforming Design
- Solving the Same-Different Task with Convolutional Neural Networks
- Will Artificial Intelligence supersede Earth System and Climate Models?
- A Universal Deep Learning Framework for Real-Time Denoising of Ultrasound Images
- Hybrid Rotation Averaging: A Fast and Robust Rotation Averaging Approach
- The heads hypothesis: A unifying statistical approach towards understanding multi-headed attention in BERT
- Pareto GAN: Extending the Representational Power of GANs to Heavy-Tailed Distributions
- Adaptive Neighbourhoods for the Discovery of Adversarial Examples
- A multi-perspective combined recall and rank framework for Chinese procedure terminology normalization
- Towards Enhancing Fine-grained Details for Image Matting
- Deepfakes and the 2020 US elections: what (did not) happen
- A shallow neural model for relation prediction
- Exploiting Beam Search Confidence for Energy-Efficient Speech Recognition
- Evaluation Discrepancy Discovery: A Sentence Compression Case-study
- Lexical semantic change for Ancient Greek and Latin
- Query Abandonment Prediction with Recurrent Neural Models of Mouse Cursor Movements
- Rethinking Domain Generalization Baselines
- DSAL: Deeply Supervised Active Learning from Strong and Weak Labelers for Biomedical Image Segmentation
- A Few Good Counterfactuals: Generating Interpretable, Plausible and Diverse Counterfactual Explanations
- Adversarial Laws of Large Numbers and Optimal Regret in Online Classification
- Chemistry42: An AI-based platform for de novo molecular design
- Selfish Sparse RNN Training
- Projected Statistical Methods for Distributional Data on the Real Line with the Wasserstein Metric
- A Closer Look at Temporal Sentence Grounding in Videos: Dataset and Metric
- Enhanced word embeddings using multi-semantic representation through lexical chains
- B-DRRN: A Block Information Constrained Deep Recursive Residual Network for Video Compression Artifacts Reduction
- Unsupervised Technical Domain Terms Extraction using Term Extractor
- Personal Fixations-Based Object Segmentation with Object Localization and Boundary Preservation
- Multilingual Pre-Trained Transformers and Convolutional NN Classification Models for Technical Domain Identification
- Does a Hybrid Neural Network based Feature Selection Model Improve Text Classification?
- HASOCOne@FIRE-HASOC2020: Using BERT and Multilingual BERT models for Hate Speech Detection
- CMSAOne@Dravidian-CodeMix-FIRE2020: A Meta Embedding and Transformer model for Code-Mixed Sentiment Analysis on Social Media Text
- Linear Regression with Distributed Learning: A Generalization Error Perspective
- Automatic Volumetric Segmentation of Additive Manufacturing Defects with 3D U-Net
- Cross Chest Graph for Disease Diagnosis with Structural Relational Reasoning
- Progressive Image Super-Resolution via Neural Differential Equation
- Artificial intelligence prediction of stock prices using social media
- Nonstationary Stochastic Multiarmed Bandits: UCB Policies and Minimax Regret
- Visual Question Answering based on Local-Scene-Aware Referring Expression Generation
- A novel DL approach to PE malware detection: exploring Glove vectorization, MCC_RCNN and feature fusion
- Human Interaction Recognition Framework based on Interacting Body Part Attention
- Knowledge Graph Completion with Text-aided Regularization
- Bayesian hierarchical stacking: Some models are (somewhere) useful
- Enriching Non-Autoregressive Transformer with Syntactic and SemanticStructures for Neural Machine Translation
All 111
- Hessian-Aware Pruning and Optimal Neural Implant
- AS-Net: Fast Photoacoustic Reconstruction with Multi-feature Fusion from Sparse Data
- A Two-stream Neural Network for Pose-based Hand Gesture Recognition
- Differentially Private SGD with Non-Smooth Losses
- Snapshot Hyperspectral Imaging Based on Weighted High-order Singular Value Regularization
- SGA: A Robust Algorithm for Partial Recovery of Tree-Structured Graphical Models with Noisy Samples
- A Two-Stage Deep Learning Detection Classifier for the ATLAS Asteroid Survey
- Single Neuron Segmentation using Graph-based Global Reasoning with Auxiliary Skeleton Loss from 3D Optical Microscope Images
- Applications of artificial intelligence in drug development using real-world data
- Iterative Optimisation with an Innovation CNN for Pose Refinement
- Generative Replay-based Continual Zero-Shot Learning