Papers
Wed 3 Mar 2021
172 papers
- Preference-based Learning of Reward Function FeaturesLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- General Instance Distillation for Object DetectionKnowledge distillation → Detection and dense prediction distillation
- Hate, Obscenity, and Insults: Measuring the Exposure of Children to Inappropriate Comments in YouTube
- Stay on Topic, Please: Aligning User Comments to the Content of a News Article
- Low-level cognitive skill transfer between two individuals' minds via computer game-based framework
- Learning Invariant Representations across Domains and Tasks
- Deep Neural Networks for the Assessment of Surgical Skills: A Systematic Review
- Deep learning, machine vision in agriculture in 2021
- Helicopter Track Identification with Autoencoder
- Performance and Complexity Analysis of bi-directional Recurrent Neural Network Models vs. Volterra Nonlinear Equalizers in Digital Coherent Systems
- COIN: COmpression with Implicit Neural representations
- Machine Learning using Stata/Python
- Towards Deepening Graph Neural Networks: A GNTK-based Optimization Perspective
- Alleviation of Temperature Variation Induced Accuracy Degradation in Ferroelectric FinFET Based Neural Network
- A Multi-Modal Respiratory Disease Exacerbation Prediction Technique Based on a Spatio-Temporal Machine Learning Architecture
- Evaluation and Optimization of Distributed Machine Learning Techniques for Internet of Things
- Comparing the Value of Labeled and Unlabeled Data in Method-of-Moments Latent Variable Estimation
- Worsening Perception: Real-time Degradation of Autonomous Vehicle Perception Performance for Simulation of Adverse Weather Conditions
- Learning Asynchronous and Sparse Human-Object Interaction in Videos
- Malware Classification with GMM-HMM Models
- Malware Classification Using Long Short-Term Memory Models
- Efficient data-driven encoding of scene motion using Eccentricity
- Combinatorial Bandits without Total Order for Arms
- Contrastive learning of strong-mixing continuous-time stochastic processes
- Fairness of Exposure in Stochastic Bandits
- Linear Bandit Algorithms with Sublinear Time Complexity
- Morality, Machines and the Interpretation Problem: A Value-based, Wittgensteinian Approach to Building Moral Agents
- A Modified Drake Equation for Assessing Adversarial Risk to Machine Learning Models
- Malware Classification with Word Embedding Features
- On the Importance of Sampling in Training GCNs: Tighter Analysis and Variance Reduction
- Shift Invariance Can Reduce Adversarial Robustness
- Natural Language Understanding for Argumentative Dialogue Systems in the Opinion Building Domain
- A comprehensive survey on point cloud registration
- Lazy FSCA for Unsupervised Variable Selection
- Efficient UAV Trajectory-Planning using Economic Reinforcement Learning
- Out of Distribution Generalization in Machine Learning
- Deep Clustering by Semantic Contrastive Learning
- A Robust Adversarial Network-Based End-to-End Communications System With Strong Generalization Ability Against Adversarial Attacks
- Successor Feature Sets: Generalizing Successor Representations Across Policies
- Self-play Learning Strategies for Resource Assignment in Open-RAN Networks
- Compute and memory efficient universal sound source separation
- A Novel Context-Aware Multimodal Framework for Persian Sentiment Analysis
- RotoGrad: Gradient Homogenization in Multitask Learning
- Hypothesis Testing for Class-Conditional Label Noise
- Towards Open World Object Detection
- Hybrid and Automated Machine Learning Approaches for Oil Fields Development: the Case Study of Volve Field, North Sea
- Neural 3D Video Synthesis from Multi-view Video
- IH-GAN: A Conditional Generative Model for Implicit Surface-Based Inverse Design of Cellular Structures
- Detecting Extraneous Content in Podcasts
- Cross-View Regularization for Domain Adaptive Panoptic Segmentation
- Simulating time to event prediction with spatiotemporal echocardiography deep learning
- D'ya like DAGs? A Survey on Structure Learning and Causal Discovery
- Scalable Learning With a Structural Recurrent Neural Network for Short-Term Traffic Prediction
- House-GAN++: Generative Adversarial Layout Refinement Networks
- GLAMOUR: Graph Learning over Macromolecule Representations
- ICAM-reg: Interpretable Classification and Regression with Feature Attribution for Mapping Neurological Phenotypes in Individual Scans
- Minimum-Distortion Embedding
- Enabling Visual Action Planning for Object Manipulation through Latent Space Roadmap
- NaturalConv: A Chinese Dialogue Dataset Towards Multi-turn Topic-driven Conversation
- Multi-task Learning by Leveraging the Semantic Information
- On the geometric and Riemannian structure of the spaces of group equivariant non-expansive operators
- Weakly-Supervised Open-Retrieval Conversational Question Answering
- Style-based Point Generator with Adversarial Rendering for Point Cloud Completion
- Learning to Manipulate Amorphous Materials
- Personal Productivity and Well-being -- Chapter 2 of the 2021 New Future of Work Report
- NeurIPS 2020 NLC2CMD Competition: Translating Natural Language to Bash Commands
- On the role of depth predictions for 3D human pose estimation
- Recurrent Graph Neural Network Algorithm for Unsupervised Network Community Detection
- EllipsoidNet: Ellipsoid Representation for Point Cloud Classification and Segmentation
- Approximation Algorithms for Socially Fair Clustering
- Stochastic Cutting Planes for Data-Driven Optimization
- Domain Generalization: A Survey
- Vanishing Twin GAN: How training a weak Generative Adversarial Network can improve semi-supervised image classification
- Non-local Channel Aggregation Network for Single Image Rain Removal
- DeepFN: Towards Generalizable Facial Action Unit Recognition with Deep Face Normalization
- Regularizing towards Causal Invariance: Linear Models with Proxies
- Arthroscopic Multi-Spectral Scene Segmentation Using Deep Learning
- User Preferential Tour Recommendation Based on POI-Embedding Methods
- Sparsity Aware Normalization for GANs
- Multimodal Scale Consistency and Awareness for Monocular Self-Supervised Depth Estimation
- OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association
- Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design
- Dynamic Fusion Module Evolves Drivable Area and Road Anomaly Detection: A Benchmark and Algorithms
- Land Cover Mapping in Limited Labels Scenario: A Survey
- Multi-view Audio and Music Classification
- OAG-BERT: Towards A Unified Backbone Language Model For Academic Knowledge Services
- Multi-attentional Deepfake Detection
- Relate and Predict: Structure-Aware Prediction with Jointly Optimized Neural DAG
- Correct-by-construction reach-avoid control of partially observable linear stochastic systems
- S3: Learnable Sparse Signal Superdensity for Guided Depth Estimation
- Self-Distribution Binary Neural Networks
- A Fault Localization and Debugging Support Framework driven by Bug Tracking Data
- Nonlinear MPC for Offset-Free Tracking of systems learned by GRU Neural Networks
- Human-AI Interactions in Public Sector Decision-Making: "Automation Bias" and "Selective Adherence" to Algorithmic Advice
- Shape-driven Coordinate Ordering for Star Glyph Sets via Reinforcement Learning
- Continuous Speech Separation with Ad Hoc Microphone Arrays
- Event-based Synthetic Aperture Imaging with a Hybrid Network
- Root cause prediction based on bug reports
- FSDR: Frequency Space Domain Randomization for Domain Generalization
- Real-World Single Image Super-Resolution: A Brief Review
All 172
- Reinforcement Learning with External Knowledge by using Logical Neural Networks
- Video Sentiment Analysis with Bimodal Information-augmented Multi-Head Attention
- Reinforcement Learning for Orientation Estimation Using Inertial Sensors with Performance Guarantee
- Cost Optimal Planning as Satisfiability
- Evaluating Robustness of Counterfactual Explanations
- Critical Parameters for Scalable Distributed Learning with Large Batches and Asynchronous Updates
- A Hamiltonian Monte Carlo Model for Imputation and Augmentation of Healthcare Data
- Deep Learning for Virus-Spreading Forecasting: a Brief Survey
- Deep Recurrent Encoder: A scalable end-to-end network to model brain signals
- Combining Prediction and Interpretation in Decision Trees (PrInDT) -- a Linguistic Example
- Few-shot Learning for Slot Tagging with Attentive Relational Network
- On the effectiveness of adversarial training against common corruptions
- Cooking Object's State Identification Without Using Pretrained Model
- Domain and View-point Agnostic Hand Action Recognition
- An Empirical Study of Compound PCFGs
- K-means segmentation based-on lab color space for embryo detection in incubated egg
- Addressing Action Oscillations through Learning Policy Inertia
- Simplified Data Wrangling with ir_datasets
- Motion Classification and Height Estimation of Pedestrians Using Sparse Radar Data
- Temporal-Structure-Assisted Gradient Aggregation for Over-the-Air Federated Edge Learning
- Lex2vec: making Explainable Word Embeddings via Lexical Resources
- Meta-Learning with Variational Bayes
- ID-Unet: Iterative Soft and Hard Deformation for View Synthesis
- LiDAR-based Recurrent 3D Semantic Segmentation with Temporal Memory Alignment
- Meta-Curriculum Learning for Domain Adaptation in Neural Machine Translation
- Computation Resource Allocation Solution in Recommender Systems
- Automatically detecting the conflicts between software requirements based on finer semantic analysis
- An Attention Based Neural Network for Code Switching Detection: English & Roman Urdu
- Unsupervised Vehicle Re-Identification via Self-supervised Metric Learning using Feature Dictionary
- LQResNet: A Deep Neural Network Architecture for Learning Dynamic Processes
- MotionRNN: A Flexible Model for Video Prediction with Spacetime-Varying Motions
- FFB6D: A Full Flow Bidirectional Fusion Network for 6D Pose Estimation
- Data Augmentation with Hierarchical SQL-to-Question Generation for Cross-domain Text-to-SQL Parsing
- Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction
- Energy-Based Learning for Scene Graph Generation
- Unsupervised Domain Adaptation Network with Category-Centric Prototype Aligner for Biomedical Image Segmentation
- Zero-Shot Cross-Lingual Dependency Parsing through Contextual Embedding Transformation
- K-FACE: A Large-Scale KIST Face Database in Consideration with Unconstrained Environments
- EaZy Learning: An Adaptive Variant of Ensemble Learning for Fingerprint Liveness Detection
- Gradual Fine-Tuning for Low-Resource Domain Adaptation
- Formalizing Generalization and Robustness of Neural Networks to Weight Perturbations
- Bulk Production Augmentation Towards Explainable Melanoma Diagnosis
- Decoding Event-related Potential from Ear-EEG Signals based on Ensemble Convolutional Neural Networks in Ambulatory Environment
- Adaptive Consistency Regularization for Semi-Supervised Transfer Learning
- An Iterative Contextualization Algorithm with Second-Order Attention
- Eye-gaze Estimation with HEOG and Neck EMG using Deep Neural Networks
- Task Aligned Generative Meta-learning for Zero-shot Learning
- RGB Matters: Learning 7-DoF Grasp Poses on Monocular RGBD Images
- Auditory Attention Decoding from EEG using Convolutional Recurrent Neural Network
- Touchless Palmprint Recognition based on 3D Gabor Template and Block Feature Refinement
- Parsimonious Inference
- Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series
- Predicting Driver Fatigue in Automated Driving with Explainability
- A Deep and Wide Neural Network-based Model for Rajasthan Summer Monsoon Rainfall (RSMR) Prediction
- Sensing population distribution from satellite imagery via deep learning: model selection, neighboring effect, and systematic biases
- Group-wise Inhibition based Feature Regularization for Robust Classification
- Inference-Based Deterministic Messaging For Multi-Agent Communication
- Multi-institutional Collaborations for Improving Deep Learning-based Magnetic Resonance Image Reconstruction Using Federated Learning
- Reverb Conversion of Mixed Vocal Tracks Using an End-to-end Convolutional Deep Neural Network
- Two-Stage Framework for Seasonal Time Series Forecasting
- Random Feature Attention
- Learning to Fly -- a Gym Environment with PyBullet Physics for Reinforcement Learning of Multi-agent Quadcopter Control
- CogNet: Bridging Linguistic Knowledge, World Knowledge and Commonsense Knowledge
- PML: Progressive Margin Loss for Long-tailed Age Classification
- Parametric Complexity Bounds for Approximating PDEs with Neural Networks
- Leading or Following? Dyadic Robot Imitative Interaction Using the Active Inference Framework
- Augmentation Strategies for Learning with Noisy Labels
- Differentiable Neural Architecture Learning for Efficient Neural Network Design
- Deblurring Processor for Motion-Blurred Faces Based on Generative Adversarial Networks
- Robust Place Recognition using an Imaging Lidar
- Design of an Affordable Prosthetic Arm Equipped with Deep Learning Vision-Based Manipulation
- An Alternative Practice of Tropical Convolution to Traditional Convolutional Neural Networks