Papers
Fri 5 Nov 2021
152 papers
- Towards Learning Generalizable Driving Policies from Restricted Latent RepresentationsEnd-to-end autonomous driving → Reinforcement learning for driving
- Oracle Teacher: Leveraging Target Information for Better Knowledge Distillation of CTC ModelsKnowledge distillation → Speech and audio distillation
- AUTOKD: Automatic Knowledge Distillation Into A Student Architecture FamilyKnowledge distillation → General knowledge distillation methods
- Sequential Randomized Smoothing for Adversarially Robust Speech Recognition
- TaskDrop: A Competitive Baseline for Continual Learning of Sentiment Classification
- IBERT: Idiom Cloze-style reading comprehension with Attention
- Joint Learning of Visual-Audio Saliency Prediction and Sound Source Localization on Multi-face Videos
- SPANN: Highly-efficient Billion-scale Approximate Nearest Neighbor Search
- Overcoming Digital Gravity when using AI in Public Health Decisions
- Branch and Bound in Mixed Integer Linear Programming Problems: A Survey of Techniques and Trends
- Self-Supervised Intrinsic Image Decomposition Network Considering Reflectance Consistency
- Feature Concepts for Data Federative Innovations
- Improving RNA Secondary Structure Design using Deep Reinforcement Learning
- Senatus -- A Fast and Accurate Code-to-Code Recommendation Engine
- MQBench: Towards Reproducible and Deployable Model Quantization Benchmark
- CloudRCA: A Root Cause Analysis Framework for Cloud Computing Platforms
- Asynchronous Collaborative Localization by Integrating Spatiotemporal Graph Learning with Model-Based Estimation
- An Algorithmic Theory of Metacognition in Minds and Machines
- Increasing Data Diversity with Iterative Sampling to Improve Performance
- Sharp Bounds for Federated Averaging (Local SGD) and Continuous Perspective
- Toward Learning Human-aligned Cross-domain Robust Models by Countering Misaligned Features
- Tradeoffs of Linear Mixed Models in Genome-wide Association Studies
- Frugal Machine Learning
- Explaining neural network predictions of material strength
- Shared Model of Sense-making for Human-Machine Collaboration
- Defect Detection on Semiconductor Wafers by Distribution Analysis
- Leveraging Sentiment Analysis Knowledge to Solve Emotion Detection Tasks
- Damage Estimation and Localization from Sparse Aerial Imagery
- Feature-Level Fusion of Super-App and Telecommunication Alternative Data Sources for Credit Card Fraud Detection
- Learn one size to infer all: Exploiting translational symmetries in delay-dynamical and spatio-temporal systems using scalable neural networks
- Reconstructing Training Data from Diverse ML Models by Ensemble Inversion
- A space of goals: the cognitive geometry of informationally bounded agents
- Disaster mapping from satellites: damage detection with crowdsourced point labels
- Do we still need ImageNet pre-training in remote sensing scene classification?
- AI and Blackness: Towards moving beyond bias and representation
- First steps on Gamification of Lung Fluid Cells Annotations in the Flower Domain
- Predicting Mortality from Credit Reports
- The Curious Layperson: Fine-Grained Image Recognition without Expert Labels
- Normalizing Flow as a Flexible Fidelity Objective for Photo-Realistic Super-resolution
- Regular Decision Processes for Grid Worlds
- TermiNeRF: Ray Termination Prediction for Efficient Neural Rendering
- Grounded Graph Decoding Improves Compositional Generalization in Question Answering
- Increasing Fairness in Predictions Using Bias Parity Score Based Loss Function Regularization
- Risk-averse Heteroscedastic Bayesian Optimization
- BBC-Oxford British Sign Language Dataset
- Dynamic Human-Robot Role Allocation based on Human Ergonomics Risk Prediction and Robot Actions Adaptation
- Exploiting a Zoo of Checkpoints for Unseen Tasks
- Adaptive Low-Pass Filtering using Sliding Window Gaussian Processes
- Single Image Deraining Network with Rain Embedding Consistency and Layered LSTM
- Sexism Identification in Tweets and Gabs using Deep Neural Networks
- Edge Tracing using Gaussian Process Regression
- NAS-Bench-x11 and the Power of Learning Curves
- Hybrid Spectrogram and Waveform Source Separation
- Nonnegative Matrix Factorization to understand Spatio-Temporal Traffic Pattern Variations during COVID-19: A Case Study
- AGPCNet: Attention-Guided Pyramid Context Networks for Infrared Small Target Detection
- Mixtures of Laplace Approximations for Improved Post-Hoc Uncertainty in Deep Learning
- Investigation of Topic Modelling Methods for Understanding the Reports of the Mining Projects in Queensland
- Predicting Antimicrobial Resistance in the Intensive Care Unit
- Spatial-Temporal Residual Aggregation for High Resolution Video Inpainting
- Machine Learning Product State Distributions from Initial Reactant States for a Reactive Atom-Diatom Collision System
- SmartDepthSync: Open Source Synchronized Video Recording System of Smartphone RGB and Depth Camera Range Image Frames with Sub-millisecond Precision
- Interpreting Representation Quality of DNNs for 3D Point Cloud Processing
- POSHAN: Cardinal POS Pattern Guided Attention for News Headline Incongruence
- Empirical analysis of representation learning and exploration in neural kernel bandits
- A Unified Game-Theoretic Interpretation of Adversarial Robustness
- An Analysis of Elephants' Movement Data in Sub-Saharan Africa Using Clustering
- A Retrospective Analysis using Deep-Learning Models for Prediction of Survival Outcome and Benefit of Adjuvant Chemotherapy in Stage II/III Colorectal Cancer
- A Data-driven Approach to Neural Architecture Search Initialization
- Semantically Consistent Image-to-Image Translation for Unsupervised Domain Adaptation
- S-multi-SNE: Semi-Supervised Classification and Visualisation of Multi-View Data
- Solving the Class Imbalance Problem Using a Counterfactual Method for Data Augmentation
- SocialVec: Social Entity Embeddings
- Data Selection for Efficient Model Update in Federated Learning
- Disengagement Cause-and-Effect Relationships Extraction Using an NLP Pipeline
- Visualizing the Emergence of Intermediate Visual Patterns in DNNs
- Deep-Learning Based Linear Precoding for MIMO Channels with Finite-Alphabet Signaling
- Monitoring geometrical properties of word embeddings for detecting the emergence of new topics
- Automated Supervised Feature Selection for Differentiated Patterns of Care
- Cross Modality 3D Navigation Using Reinforcement Learning and Neural Style Transfer
- Event-based Motion Segmentation by Cascaded Two-Level Multi-Model Fitting
- Improving Visual Quality of Image Synthesis by A Token-based Generator with Transformers
- DriveGuard: Robustification of Automated Driving Systems with Deep Spatio-Temporal Convolutional Autoencoder
- Data-driven Hedging of Stock Index Options via Deep Learning
- A Variational U-Net for Weather Forecasting
- Supervised Advantage Actor-Critic for Recommender Systems
- Perturbational Complexity by Distribution Mismatch: A Systematic Analysis of Reinforcement Learning in Reproducing Kernel Hilbert Space
- Contextual Bayesian optimization with binary outputs
- Conformer-based Hybrid ASR System for Switchboard Dataset
- Learning to Cooperate with Unseen Agent via Meta-Reinforcement Learning
- Transferable Time-Series Forecasting under Causal Conditional Shift
- Solving Traffic4Cast Competition with U-Net and Temporal Domain Adaptation
- Sampling Equivariant Self-attention Networks for Object Detection in Aerial Images
- Meta-Forecasting by combining Global Deep Representations with Local Adaptation
- Structure-aware Image Inpainting with Two Parallel Streams
- Dual Parameterization of Sparse Variational Gaussian Processes
- MSC-VO: Exploiting Manhattan and Structural Constraints for Visual Odometry
- A bone suppression model ensemble to improve COVID-19 detection in chest X-rays
- FedLess: Secure and Scalable Federated Learning Using Serverless Computing
- Coherent Probabilistic Aggregate Queries on Long-horizon Forecasts
- SSA: Semantic Structure Aware Inference for Weakly Pixel-Wise Dense Predictions without Cost
All 152
- A Deep Learning Generative Model Approach for Image Synthesis of Plant Leaves
- Versatile Learned Video Compression
- Seamless Satellite-image Synthesis
- A Bayesian generative neural network framework for epidemic inference problems
- Online Learning in Periodic Zero-Sum Games
- Developing Successful Shared Tasks on Offensive Language Identification for Dravidian Languages
- Segmentation of 2D Brain MR Images
- Hepatic vessel segmentation based on 3D swin-transformer with inductive biased multi-head self-attention
- A methodology for training homomorphicencryption friendly neural networks
- Feature Selective Likelihood Ratio Estimator for Low- and Zero-frequency N-grams
- Negative Sample is Negative in Its Own Way: Tailoring Negative Sentences for Image-Text Retrieval
- LTL under reductions with weaker conditions than stutter-invariance
- DVFL: A Vertical Federated Learning Method for Dynamic Data
- FINN.no Slates Dataset: A new Sequential Dataset Logging Interactions, allViewed Items and Click Responses/No-Click for Recommender Systems Research
- Effective Cross-Utterance Language Modeling for Conversational Speech Recognition
- On the Impact of Temporal Representations on Metaphor Detection
- KORSAL: Key-point Detection based Online Real-Time Spatio-Temporal Action Localization
- Learning on Random Balls is Sufficient for Estimating (Some) Graph Parameters
- Confidential Machine Learning Computation in Untrusted Environments: A Systems Security Perspective
- New Hard-thresholding Rules based on Data Splitting in High-dimensional Imbalanced Classification
- Frequency-Aware Physics-Inspired Degradation Model for Real-World Image Super-Resolution
- Dataset of Fake News Detection and Fact Verification: A Survey
- A Syntax-Guided Grammatical Error Correction Model with Dependency Tree Correction
- Maillard Sampling: Boltzmann Exploration Done Optimally
- Improved Regret Analysis for Variance-Adaptive Linear Bandits and Horizon-Free Linear Mixture MDPs
- FBNet: Feature Balance Network for Urban-Scene Segmentation
- Dialogue Inspectional Summarization with Factual Inconsistency Awareness
- Recurrent Neural Networks for Learning Long-term Temporal Dependencies with Reanalysis of Time Scale Representation
- Recognizing Vector Graphics without Rasterization
- Pathological Analysis of Blood Cells Using Deep Learning Techniques
- Automated Human Mind Reading Using EEG Signals for Seizure Detection
- Neural Network Based Epileptic EEG Detection and Classification
- Interpretable Personalized Experimentation
- EpilNet: A Novel Approach to IoT based Epileptic Seizure Prediction and Diagnosis System using Artificial Intelligence
- Graph Denoising with Framelet Regularizer
- CGCL: Collaborative Graph Contrastive Learning without Handcrafted Graph Data Augmentations
- Remote Sensing Image Super-resolution and Object Detection: Benchmark and State of the Art
- Learning of Time-Frequency Attention Mechanism for Automatic Modulation Recognition
- Dynamic Data Augmentation with Gating Networks for Time Series Recognition
- Context-Aware Transformer Transducer for Speech Recognition
- Towards Designing Optimal Sensing Matrices for Generalized Linear Inverse Problems
- Multi-Spectral Multi-Image Super-Resolution of Sentinel-2 with Radiometric Consistency Losses and Its Effect on Building Delineation
- Technical Report: Disentangled Action Parsing Networks for Accurate Part-level Action Parsing
- Augmentations in Graph Contrastive Learning: Current Methodological Flaws & Towards Better Practices
- Boundary Estimation from Point Clouds: Algorithms, Guarantees and Applications
- Fast Camouflaged Object Detection via Edge-based Reversible Re-calibration Network
- An overview of event extraction and its applications
- Artificial Neural Network-Based Voltage Control of DC/DC Converter for DC Microgrid Applications
- LILA: Language-Informed Latent Actions
- Learning Model Predictive Controllers for Real-Time Ride-Hailing Vehicle Relocation and Pricing Decisions
- Compressing Sensor Data for Remote Assistance of Autonomous Vehicles using Deep Generative Models
- On the Complexity of Dynamic Submodular Maximization