Papers
Thu 22 Jul 2021
110 papers
- What are you optimizing for? Aligning Recommender Systems with Human ValuesLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- A new step for computing
- Multi-stage Pre-training over Simplified Multimodal Pre-training Models
- Temporal-Relational Hypergraph Tri-Attention Networks for Stock Trend Prediction
- Toward AI Assistants That Let Designers Design
- Novel Span Measure, Spanning Sets and Applications
- Membership Inference Attack and Defense for Wireless Signal Classifiers with Deep Learning
- Regularising Inverse Problems with Generative Machine Learning Models
- LARGE: Latent-Based Regression through GAN Semantics
- VisMCA: A Visual Analytics System for Misclassification Correction and Analysis. VAST Challenge 2020, Mini-Challenge 2 Award: Honorable Mention for Detailed Analysis of Patterns of Misclassification
- Tsformer: Time series Transformer for tourism demand forecasting
- Federated Learning Versus Classical Machine Learning: A Convergence Comparison
- Inference for High Dimensional Censored Quantile Regression
- Ego-GNNs: Exploiting Ego Structures in Graph Neural Networks
- Learning Linear Polytree Structural Equation Models
- Pre-Clustering Point Clouds of Crop Fields Using Scalable Methods
- On Integral Theorems and their Statistical Properties
- Graph-Based Learning for Stock Movement Prediction with Textual and Relational Data
- DeepTitle -- Leveraging BERT to generate Search Engine Optimized Headlines
- FNetAR: Mixing Tokens with Autoregressive Fourier Transforms
- Domain Generalization under Conditional and Label Shifts via Variational Bayesian Inference
- Did the Cat Drink the Coffee? Challenging Transformers with Generalized Event Knowledge
- Explainable artificial intelligence (XAI) in deep learning-based medical image analysis
- A reinforcement learning approach to resource allocation in genomic selection
- Pose Estimation and 3D Reconstruction of Vehicles from Stereo-Images Using a Subcategory-Aware Shape Prior
- SAGE: A Split-Architecture Methodology for Efficient End-to-End Autonomous Vehicle Control
- Power Plant Classification from Remote Imaging with Deep Learning
- Structured second-order methods via natural gradient descent
- Size doesn't matter: predicting physico- or biochemical properties based on dozens of molecules
- Discovering Sparse Interpretable Dynamics from Partial Observations
- Bagging, optimized dynamic mode decomposition (BOP-DMD) for robust, stable forecasting with spatial and temporal uncertainty-quantification
- On the Certified Robustness for Ensemble Models and Beyond
- Multiclass versus Binary Differentially Private PAC Learning
- Local SGD Optimizes Overparameterized Neural Networks in Polynomial Time
- A local approach to parameter space reduction for regression and classification tasks
- Accelerating Quadratic Optimization with Reinforcement Learning
- QuantumNAS: Noise-Adaptive Search for Robust Quantum Circuits
- DOVE: Learning Deformable 3D Objects by Watching Videos
- HARP-Net: Hyper-Autoencoded Reconstruction Propagation for Scalable Neural Audio Coding
- Recovering lost and absent information in temporal networks
- Query2Label: A Simple Transformer Way to Multi-Label Classification
- Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data
- A Logic of Expertise
- To Ship or Not to Ship: An Extensive Evaluation of Automatic Metrics for Machine Translation
- Self-transfer learning via patches: A prostate cancer triage approach based on bi-parametric MRI
- Active Learning in Incomplete Label Multiple Instance Multiple Label Learning
- EAN: Event Adaptive Network for Enhanced Action Recognition
- Learning to Transfer: A Foliated Theory
- Semantic Text-to-Face GAN -ST^2FG
- Neural Variational Gradient Descent
- Segmentation of Cardiac Structures via Successive Subspace Learning with Saab Transform from Cine MRI
- Philosophical Specification of Empathetic Ethical Artificial Intelligence
- Deep 3D-CNN for Depression Diagnosis with Facial Video Recording of Self-Rating Depression Scale Questionnaire
- Physics-informed neural networks for solving Reynolds-averaged Navierunicodex2013Stokes equations
- DeltaCharger: Charging Robot with Inverted Delta Mechanism and CNN-driven High Fidelity Tactile Perception for Precise 3D Positioning
- A Framework for Imbalanced Time-series Forecasting
- Distributed Saddle-Point Problems Under Similarity
- Typing assumptions improve identification in causal discovery
- Selective Pseudo-label Clustering
- AnonySIGN: Novel Human Appearance Synthesis for Sign Language Video Anonymisation
- Fast Low-Rank Tensor Decomposition by Ridge Leverage Score Sampling
- Dialogue Object Search
- Hash-Based Tree Similarity and Simplification in Genetic Programming for Symbolic Regression
- Structure Destruction and Content Combination for Face Anti-Spoofing
- Evaluation of contextual embeddings on less-resourced languages
- Data Considerations in Graph Representation Learning for Supply Chain Networks
- 3D Shape Generation with Grid-based Implicit Functions
- cCorrGAN: Conditional Correlation GAN for Learning Empirical Conditional Distributions in the Elliptope
- CNN-based Realized Covariance Matrix Forecasting
- Towards Explaining Adversarial Examples Phenomenon in Artificial Neural Networks
- MobileCharger: an Autonomous Mobile Robot with Inverted Delta Actuator for Robust and Safe Robot Charging
- An overcome of far-distance limitation on tunnel CCTV-based accident detection in AI deep-learning frameworks
- Fristograms: Revealing and Exploiting Light Field Internals
- A Proactive Management Scheme for Data Synopses at the Edge
- Out of the Shadows: Analyzing Anonymous' Twitter Resurgence during the 2020 Black Lives Matter Protests
- Improving the Authentication with Built-in Camera Protocol Using Built-in Motion Sensors: A Deep Learning Solution
- Geometric Data Augmentation Based on Feature Map Ensemble
- Target-Oriented Fine-tuning for Zero-Resource Named Entity Recognition
- Multiple Query Optimization using a Hybrid Approach of Classical and Quantum Computing
- Evaluating the Quality of Finite Element Meshes with Machine Learning
- External-Memory Networks for Low-Shot Learning of Targets in Forward-Looking-Sonar Imagery
- Benchmarking AutoML Frameworks for Disease Prediction Using Medical Claims
- Abstract Reasoning via Logic-guided Generation
- Bandit Quickest Changepoint Detection
- Neural Ordinary Differential Equation Model for Evolutionary Subspace Clustering and Its Applications
- Efficient Neural Causal Discovery without Acyclicity Constraints
- Unsupervised Detection of Adversarial Examples with Model Explanations
- Copy and Paste method based on Pose for Re-identification
- Inter and Intra-Annual Spatio-Temporal Variability of Habitat Suitability for Asian Elephants in India: A Random Forest Model-based Analysis
- Adaptive Dilated Convolution For Human Pose Estimation
- A Deep Learning-based Quality Assessment and Segmentation System with a Large-scale Benchmark Dataset for Optical Coherence Tomographic Angiography Image
- Back-Translated Task Adaptive Pretraining: Improving Accuracy and Robustness on Text Classification
- Improving Polyphonic Sound Event Detection on Multichannel Recordings with the Sorensen-Dice Coefficient Loss and Transfer Learning
- What Makes Sound Event Localization and Detection Difficult? Insights from Error Analysis
- PoseDet: Fast Multi-Person Pose Estimation Using Pose Embedding
- Ready for Emerging Threats to Recommender Systems? A Graph Convolution-based Generative Shilling Attack
- CogSense: A Cognitively Inspired Framework for Perception Adaptation
- Learning Sparse Fixed-Structure Gaussian Bayesian Networks
- Improve Learning from Crowds via Generative Augmentation
- Spinning Sequence-to-Sequence Models with Meta-Backdoors
All 110
- Impacts Towards a comprehensive assessment of the book impact by integrating multiple evaluation sources
- MFGNet: Dynamic Modality-Aware Filter Generation for RGB-T Tracking
- Shedding some light on Light Up with Artificial Intelligence
- Deep Adaptive Arbitrary Polynomial Chaos Expansion: A Mini-data-driven Semi-supervised Method for Uncertainty Quantification
- Confidence-Aware Scheduled Sampling for Neural Machine Translation
- Tri-Branch Convolutional Neural Networks for Top-k Focused Academic Performance Prediction
- Trip-ROMA: Self-Supervised Learning with Triplets and Random Mappings
- Theoretical foundations and limits of word embeddings: what types of meaning can they capture?
- Evaluation of In-Person Counseling Strategies To Develop Physical Activity Chatbot for Women
- DeepScale: Online Frame Size Adaptation for Multi-object Tracking on Smart Cameras and Edge Servers