Papers
Wed 14 Apr 2021
175 papers
- Annealing Knowledge DistillationKnowledge distillation → General knowledge distillation methods
- Defending Against Adversarial Denial-of-Service Data Poisoning AttacksLLM safety and security → Backdoor and data poisoning attacks
- Reward function shape exploration in adversarial imitation learning: an empirical studyOffline RL and imitation learning from data → Imitation learning methods
- GAN-Based Interactive Reinforcement Learning from Demonstration and Human Evaluative FeedbackOffline RL and imitation learning from data → Imitation learning methods
- GridToPix: Training Embodied Agents with Minimal Supervision
- Measuring diachronic sense change: new models and Monte Carlo methods for Bayesian inference
- Forecasting COVID-19 Counts At A Single Hospital: A Hierarchical Bayesian Approach
- Modelling the COVID-19 virus evolution with Incremental Machine Learning
- Identification of mental fatigue in language comprehension tasks based on EEG and deep learning
- Demystifying BERT: Implications for Accelerator Design
- Design of an Efficient, Ease-of-use and Affordable Artificial Intelligence based Nucleic Acid Amplification Diagnosis Technology for Tuberculosis and Multi-drug Resistant Tuberculosis
- A comparative study of Different Machine Learning Regressors For Stock Market Prediction
- The Role of Cross-Silo Federated Learning in Facilitating Data Sharing in the Agri-Food Sector
- Orthogonalizing Convolutional Layers with the Cayley Transform
- Unsupervised Continual Learning Via Pseudo Labels
- On the Design of Deep Priors for Unsupervised Audio Restoration
- Federated Learning-based Active Authentication on Mobile Devices
- Disentangling Representations of Text by Masking Transformers
- When and Whom to Collaborate with in a Changing Environment: A Collaborative Dynamic Bandit Solution
- On the Robustness of Intent Classification and Slot Labeling in Goal-oriented Dialog Systems to Real-world Noise
- FedGraphNN: A Federated Learning System and Benchmark for Graph Neural Networks
- An Interpretability Illusion for BERT
- On the Vapnik-Chervonenkis dimension of products of intervals in ℝd
- Adaptive Intermediate Representations for Video Understanding
- Audio feature ranking for sound-based COVID-19 patient detection
- The MuSe 2021 Multimodal Sentiment Analysis Challenge: Sentiment, Emotion, Physiological-Emotion, and Stress
- Channel Estimation and Hybrid Architectures for RIS-Assisted Communications
- What Makes a Scientific Paper be Accepted for Publication?
- StEP: Style-based Encoder Pre-training for Multi-modal Image Synthesis
- Static Embeddings as Efficient Knowledge Bases?
- SummScreen: A Dataset for Abstractive Screenplay Summarization
- Fast Walsh-Hadamard Transform and Smooth-Thresholding Based Binary Layers in Deep Neural Networks
- Grouped Variable Selection with Discrete Optimization: Computational and Statistical Perspectives
- SVS-net: A Novel Semantic Segmentation Network in Optical Coherence Tomography Angiography Images
- TWEAC: Transformer with Extendable QA Agent Classifiers
- Modeling Human Mental States with an Entity-based Narrative Graph
- UDALM: Unsupervised Domain Adaptation through Language Modeling
- Self-supervised Learning of 3D Object Understanding by Data Association and Landmark Estimation for Image Sequence
- Unsupervised low-rank representations for speech emotion recognition
- Self-Supervised Learning of Remote Sensing Scene Representations Using Contrastive Multiview Coding
- Is Everything in Order? A Simple Way to Order Sentences
- Exact and Approximate Hierarchical Clustering Using A*
- Membership-Mappings for Data Representation Learning: Measure Theoretic Conceptualization
- Neural population geometry: An approach for understanding biological and artificial neural networks
- Predicting Discourse Trees from Transformer-based Neural Summarizers
- Anatomy-guided Multimodal Registration by Learning Segmentation without Ground Truth: Application to Intraprocedural CBCT/MR Liver Segmentation and Registration
- Mean-Squared Accuracy of Good-Turing Estimator
- Dressing in Order: Recurrent Person Image Generation for Pose Transfer, Virtual Try-on and Outfit Editing
- Sparse Attention with Linear Units
- Translating synthetic natural language to database queries: a polyglot deep learning framework
- Fast quantum state reconstruction via accelerated non-convex programming
- Do Neural Network Weights account for Classes Centers?
- IGA : An Intent-Guided Authoring Assistant
- Detecting Cross-Geographic Biases in Toxicity Modeling on Social Media
- A hierarchical deep learning framework for the consistent classification of land use objects in geospatial databases
- Resource Rationing for Wireless Federated Learning: Concept, Benefits, and Challenges
- An Update to the Minho Quotation Resource
- Do Time Constraints Re-Prioritize Attention to Shapes During Visual Photo Inspection?
- UPB at SemEval-2021 Task 1: Combining Deep Learning and Hand-Crafted Features for Lexical Complexity Prediction
- To Trust or Not to Trust a Regressor: Estimating and Explaining Trustworthiness of Regression Predictions
- TSDAE: Using Transformer-based Sequential Denoising Auto-Encoder for Unsupervised Sentence Embedding Learning
- Discrete Cosine Transform Network for Guided Depth Map Super-Resolution
- Pose Recognition with Cascade Transformers
- [RE] Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation
- Understanding the Eluder Dimension
- Event Detection as Question Answering with Entity Information
- Efficiently Teaching an Effective Dense Retriever with Balanced Topic Aware Sampling
- K-PLUG: Knowledge-injected Pre-trained Language Model for Natural Language Understanding and Generation in E-Commerce
- ComBiNet: Compact Convolutional Bayesian Neural Network for Image Segmentation
- Aligning Latent and Image Spaces to Connect the Unconnectable
- The Surprising Performance of Simple Baselines for Misinformation Detection
- Domain Adaptation and Multi-Domain Adaptation for Neural Machine Translation: A Survey
- Temporally-Coherent Surface Reconstruction via Metric-Consistent Atlases
- In-field high throughput grapevine phenotyping with a consumer-grade depth camera
- A Hyperbolic-to-Hyperbolic Graph Convolutional Network
- Shared memories driven by the intrinsic memorability of items
- IQDet: Instance-wise Quality Distribution Sampling for Object Detection
- Stereo Radiance Fields (SRF): Learning View Synthesis for Sparse Views of Novel Scenes
- Process Outcome Prediction: CNN vs. LSTM (with Attention)
- Evaluation of Unsupervised Entity and Event Salience Estimation
- Safe Continuous Control with Constrained Model-Based Policy Optimization
- Is Disentanglement all you need? Comparing Concept-based & Disentanglement Approaches
- Towards a framework for evaluating the safety, acceptability and efficacy of AI systems for health: an initial synthesis
- Harmonious Semantic Line Detection via Maximal Weight Clique Selection
- Enhancing Interpretable Clauses Semantically using Pretrained Word Representation
- I Wish I Would Have Loved This One, But I Didn't -- A Multilingual Dataset for Counterfactual Detection in Product Reviews
- Knowledge-driven Answer Generation for Conversational Search
- An Introduction of mini-AlphaStar
- CelebHair: A New Large-Scale Dataset for Hairstyle Recommendation based on CelebA
- Can Active Learning Preemptively Mitigate Fairness Issues?
- A Vision-based System for Traffic Anomaly Detection using Deep Learning and Decision Trees
- LEAP: Learning Articulated Occupancy of People
- Uncertainty measures: The big picture
- Enhancing Word-Level Semantic Representation via Dependency Structure for Expressive Text-to-Speech Synthesis
- Image Manipulation Detection by Multi-View Multi-Scale Supervision
- When Non-Elitism Meets Time-Linkage Problems
- Ask what's missing and what's useful: Improving Clarification Question Generation using Global Knowledge
- Towards Automatic Model Specialization for Edge Video Analytics
- Short-term bus travel time prediction for transfer synchronization with intelligent uncertainty handling
- Dewarping Document Image By Displacement Flow Estimation with Fully Convolutional Network
All 175
- Global Information Guided Video Anomaly Detection
- Continual learning in cross-modal retrieval
- VOLDOR-SLAM: For the Times When Feature-Based or Direct Methods Are Not Good Enough
- Revisiting Light Field Rendering with Deep Anti-Aliasing Neural Network
- Non-autoregressive sequence-to-sequence voice conversion
- VOLDOR: Visual Odometry from Log-logistic Dense Optical flow Residuals
- Neural Architecture Search of Deep Priors: Towards Continual Learning without Catastrophic Interference
- Visual Comfort Aware-Reinforcement Learning for Depth Adjustment of Stereoscopic 3D Images
- Context-Dependent Anomaly Detection for Low Altitude Traffic Surveillance
- Towards a Better Understanding of VR Sickness: Physical Symptom Prediction for VR Contents
- Temporally-Aware Feature Pooling for Action Spotting in Soccer Broadcasts
- HoughNet: Integrating near and long-range evidence for visual detection
- Deep Evaluation Metric: Learning to Evaluate Simulated Radar Point Clouds for Virtual Testing of Autonomous Driving
- Graph-based Person Signature for Person Re-Identifications
- WiFiNet: WiFi-based indoor localisation using CNNs
- Oracle Complexity in Nonsmooth Nonconvex Optimization
- Towards NIR-VIS Masked Face Recognition
- VTGAN: Semi-supervised Retinal Image Synthesis and Disease Prediction using Vision Transformers
- Is Multi-Hop Reasoning Really Explainable? Towards Benchmarking Reasoning Interpretability
- Quadratic GCN for Graph Classification
- Natural-Language Multi-Agent Simulations of Argumentative Opinion Dynamics
- Enabling Machine Learning Algorithms for Credit Scoring -- Explainable Artificial Intelligence (XAI) methods for clear understanding complex predictive models
- Weakly But Deeply Supervised Occlusion-Reasoned Parametric Road Layouts
- Adversarial Sticker: A Stealthy Attack Method in the Physical World
- WARM: A Weakly (+Semi) Supervised Model for Solving Math word Problems
- Sentence Embeddings by Ensemble Distillation
- Improved Branch and Bound for Neural Network Verification via Lagrangian Decomposition
- Lazy Parameter Tuning and Control: Choosing All Parameters Randomly From a Power-Law Distribution
- Towards BERT-based Automatic ICD Coding: Limitations and Opportunities
- Deep Permutation Equivariant Structure from Motion
- DistGNN: Scalable Distributed Training for Large-Scale Graph Neural Networks
- Change Detection in Synthetic Aperture Radar Images Using a Dual-Domain Network
- Revisiting Hierarchical Approach for Persistent Long-Term Video Prediction
- Learning Normal Dynamics in Videos with Meta Prototype Network
- BROADCAST: Reducing Both Stochastic and Compression Noise to Robustify Communication-Efficient Federated Learning
- The Curious Case of Hallucinations in Neural Machine Translation
- Towards Time-Optimal Any-Angle Path Planning With Dynamic Obstacles
- Large-Scale Self- and Semi-Supervised Learning for Speech Translation
- Multi-Party Dual Learning
- Towards Explainable Multi-Party Learning: A Contrastive Knowledge Sharing Framework
- NAREOR: The Narrative Reordering Problem
- Double Robust Semi-Supervised Inference for the Mean: Selection Bias under MAR Labeling with Decaying Overlap
- End-to-end Keyword Spotting using Neural Architecture Search and Quantization
- Decomposed Soft Actor-Critic Method for Cooperative Multi-Agent Reinforcement Learning
- ADNet: Temporal Anomaly Detection in Surveillance Videos
- A Novel Malware Detection Mechanism based on Features Extracted from Converted Malware Binary Images
- Learning Semantic Person Image Generation by Region-Adaptive Normalization
- Root-finding Approaches for Computing Conformal Prediction Set
- Jointly Learning Truth-Conditional Denotations and Groundings using Parallel Attention
- Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little
- Generative Causal Explanations for Graph Neural Networks
- Decoupled Spatial-Temporal Transformer for Video Inpainting
- A Novel Approach to Curiosity and Explainable Reinforcement Learning via Interpretable Sub-Goals
- Mutual Information Preserving Back-propagation: Learn to Invert for Faithful Attribution
- Device-Cloud Collaborative Learning for Recommendation
- Towards an Interpretable Data-driven Trigger System for High-throughput Physics Facilities
- Perception Entropy: A Metric for Multiple Sensors Configuration Evaluation and Design
- Detection of Dataset Shifts in Learning-Enabled Cyber-Physical Systems using Variational Autoencoder for Regression
- Deep Data Density Estimation through Donsker-Varadhan Representation
- Representative Forgery Mining for Fake Face Detection
- Search to aggregate neighborhood for graph neural network
- Zero-Shot Instance Segmentation
- Learning How to Ask: Querying LMs with Mixtures of Soft Prompts
- AR-LSAT: Investigating Analytical Reasoning of Text
- Federated Generalized Face Presentation Attack Detection
- Learning Regularization Parameters of Inverse Problems via Deep Neural Networks
- A Semi-Supervised Classification Method of Apicomplexan Parasites and Host Cell Using Contrastive Learning Strategy
- Zero-Resource Multi-Dialectal Arabic Natural Language Understanding
- Five Degree-of-Freedom Property Interpolation of Arbitrary Grain Boundaries via Voronoi Fundamental Zone Octonion Framework
- Joint Negative and Positive Learning for Noisy Labels
- Considerations Across Three Cultures: Parametric Regressions, Interpretable Algorithms, and Complex Algorithms
- ABEM: An Adaptive Agent-based Evolutionary Approach for Mining Influencers in Online Social Networks
- Identity Inference on Blockchain using Graph Neural Network
- Towards Causal Federated Learning For Enhanced Robustness and Privacy
- Situational Confidence Assistance for Lifelong Shared Autonomy