Papers
Tue 14 Sep 2021
184 papers
- Multi-Scale Aligned Distillation for Low-Resolution DetectionKnowledge distillation → Detection and dense prediction distillation
- Vision Transformer for Learning Driving Policies in Complex Multi-Agent EnvironmentsEnd-to-end autonomous driving → Reinforcement learning for driving
- A Note on Knowledge Distillation Loss Function for Object ClassificationKnowledge distillation → General knowledge distillation methods
- Multi-modal Motion Prediction with Transformer-based Neural Network for Autonomous DrivingWorld models → World models for autonomous driving
- Deep learning-based NLP Data Pipeline for EHR Scanned Document Information Extraction
- SafeAccess+: An Intelligent System to make Smart Home Safer and Americans with Disability Act Compliant
- Stock Price Prediction Under Anomalous Circumstances
- Evaluating Biomedical BERT Models for Vocabulary Alignment at Scale in the UMLS Metathesaurus
- Oscillatory Fourier Neural Network: A Compact and Efficient Architecture for Sequential Processing
- Focus on Impact: Indoor Exploration with Intrinsic Motivation
- Semi-Supervised Wide-Angle Portraits Correction by Multi-Scale Transformer
- The pitfalls of using open data to develop deep learning solutions for COVID-19 detection in chest X-rays
- Network representation learning systematic review: ancestors and current development state
- Pareto-wise Ranking Classifier for Multi-objective Evolutionary Neural Architecture Search
- Differentiable Physics: A Position Piece
- Secure Your Ride: Real-time Matching Success Rate Prediction for Passenger-Driver Pairs
- Data-Driven Theory-guided Learning of Partial Differential Equations using SimultaNeous Basis Function Approximation and Parameter Estimation (SNAPE)
- Assisting the Human Fact-Checkers: Detecting All Previously Fact-Checked Claims in a Document
- DPMPC-Planner: A real-time UAV trajectory planning framework for complex static environments with dynamic obstacles
- Embedding Node Structural Role Identity Using Stress Majorization
- Frequency Effects on Syntactic Rule Learning in Transformers
- Discretization-independent surrogate modeling over complex geometries using hypernetworks and implicit representations
- Written Justifications are Key to Aggregate Crowdsourced Forecasts
- Graph Embedding via Diffusion-Wavelets-Based Node Feature Distribution Characterization
- Testing Self-Organized Criticality Across the Main Sequence using Stellar Flares from TESS
- Will this Question be Answered? Question Filtering via Answer Model Distillation for Efficient Question Answering
- HeMI: Multi-view Embedding in Heterogeneous Graphs
- A Three Step Training Approach with Data Augmentation for Morphological Inflection
- WaveCorr: Correlation-savvy Deep Reinforcement Learning for Portfolio Management
- ZFlow: Gated Appearance Flow-based Virtual Try-on with 3D Priors
- Behavior of k-NN as an Instance-Based Explanation Method
- Scalable Average Consensus with Compressed Communications
- NOPE: A Corpus of Naturally-Occurring Presuppositions in English
- Explainable Identification of Dementia from Transcripts using Transformer Networks
- Multi-modal Wound Classification using Wound Image and Location by Deep Neural Network
- Searching for More Efficient Dynamic Programs
- Multihop: Leveraging Complex Models to Learn Accurate Simple Models
- Residual Adapters for Parameter-Efficient ASR Adaptation to Atypical and Accented Speech
- Automatically Exposing Problems with Neural Dialog Models
- Targeted Cross-Validation
- The Stem Cell Hypothesis: Dilemma behind Multi-Task Learning with Transformer Encoders
- On the Language-specificity of Multilingual BERT and the Impact of Fine-tuning
- A Crawler Architecture for Harvesting the Clear, Social, and Dark Web for IoT-Related Cyber-Threat Intelligence
- A trainable monogenic ConvNet layer robust in front of large contrast changes in image classification
- Deploying clinical machine learning? Consider the following...
- Reconstruction on Trees and Low-Degree Polynomials
- fairseq S^2: A Scalable and Integrable Speech Synthesis Toolkit
- Learning and Decision-Making with Data: Optimal Formulations and Phase Transitions
- Hardware-aware Real-time Myocardial Segmentation Quality Control in Contrast Echocardiography
- Decision-Focused Summarization
- Agile, Antifragile, Artificial-Intelligence-Enabled, Command and Control
- Performance-Efficiency Trade-offs in Unsupervised Pre-training for Speech Recognition
- Legal Transformer Models May Not Always Help
- Nonlinearities in Steerable SO(2)-Equivariant CNNs
- Broaden the Vision: Geo-Diverse Visual Commonsense Reasoning
- One-Class Meta-Learning: Towards Generalizable Few-Shot Open-Set Classification
- Performance of a Markovian neural network versus dynamic programming on a fishing control problem
- Summarize-then-Answer: Generating Concise Explanations for Multi-hop Reading Comprehension
- BenchIE: A Framework for Multi-Faceted Fact-Based Open Information Extraction Evaluation
- A geometric perspective on functional outlier detection
- ePiC: Employing Proverbs in Context as a Benchmark for Abstract Language Understanding
- The Perils of Using Mechanical Turk to Evaluate Open-Ended Text Generation
- Types of Out-of-Distribution Texts and How to Detect Them
- Few-shot Quality-Diversity Optimization
- LM-Critic: Language Models for Unsupervised Grammatical Error Correction
- Automatic hippocampal surface generation via 3D U-net and active shape modeling with hybrid particle swarm optimization
- Predicting Loss Risks for B2B Tendering Processes
- What are the attackers doing now? Automating cyber threat intelligence extraction from text on pace with the changing threat landscape: A survey
- A Temporal Variational Model for Story Generation
- Everything Is All It Takes: A Multipronged Strategy for Zero-Shot Cross-Lingual Information Extraction
- ROMAX: Certifiably Robust Deep Multiagent Reinforcement Learning via Convex Relaxation
- A Deep Learning Approach for Masking Fetal Gender in Ultrasound Images
- Multiple shooting for training neural differential equations on time series
- Learning to Navigate Intersections with Unsupervised Driver Trait Inference
- Benchmarking the Spectrum of Agent Capabilities
- PETGEN: Personalized Text Generation Attack on Deep Sequence Embedding-based Classification Models
- Improving Zero-shot Cross-lingual Transfer between Closely Related Languages by injecting Character-level Noise
- MotionHint: Self-Supervised Monocular Visual Odometry with Motion Constraints
- Greenformer: Factorization Toolkit for Efficient Deep Neural Networks
- ImUnity: a generalizable VAE-GAN solution for multicenter MR image harmonization
- Adaptive Information Seeking for Open-Domain Question Answering
- Deceptive Decision-Making Under Uncertainty
- Comparing Reconstruction- and Contrastive-based Models for Visual Task Planning
- Tuna-AI: tuna biomass estimation with Machine Learning models trained on oceanography and echosounder FAD data
- Learning Density Distribution of Reachable States for Autonomous Systems
- Simulations in Recommender Systems: An industry perspective
- Sparse Fuzzy Attention for Structured Sentiment Analysis
- Controllable Dialogue Generation with Disentangled Multi-grained Style Specification and Attribute Consistency Reward
- HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems for HPO
- IGNNITION: Bridging the Gap Between Graph Neural Networks and Networking Systems
- Semantic Answer Type Prediction using BERT: IAI at the ISWC SMART Task 2020
- Machine-Learned Prediction Equilibrium for Dynamic Traffic Assignment
- COVID-Net Clinical ICU: Enhanced Prediction of ICU Admission for COVID-19 Patients via Explainability and Trust Quantification
- Fast Federated Edge Learning with Overlapped Communication and Computation and Channel-Aware Fair Client Scheduling
- A pragmatic approach to estimating average treatment effects from EHR data: the effect of prone positioning on mechanically ventilated COVID-19 patients
- A Novel Global Feature-Oriented Relational Triple Extraction Model based on Table Filling
- KFCNet: Knowledge Filtering and Contrastive Learning Network for Generative Commonsense Reasoning
- A system for information extraction from scientific texts in Russian
- An Apparatus for the Simulation of Breathing Disorders: Physically Meaningful Generation of Surrogate Data
- LRWR: Large-Scale Benchmark for Lip Reading in Russian language
All 184
- Reactive and Safe Road User Simulations using Neural Barrier Certificates
- Luminance Attentive Networks for HDR Image and Panorama Reconstruction
- Non-autoregressive Transformer with Unified Bidirectional Decoder for Automatic Speech Recognition
- Efficient Inference for Multilingual Neural Machine Translation
- High-Resolution Image Harmonization via Collaborative Dual Transformations
- Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain
- Identifying partial mouse brain microscopy images from Allen reference atlas using a contrastively learned semantic space
- Expert Knowledge-Guided Length-Variant Hierarchical Label Generation for Proposal Classification
- An MRC Framework for Semantic Role Labeling
- Improving Test Case Generation for REST APIs Through Hierarchical Clustering
- Towards optimized actions in critical situations of soccer games with deep reinforcement learning
- Dynamic Attentive Graph Learning for Image Restoration
- Sampling Network Guided Cross-Entropy Method for Unsupervised Point Cloud Registration
- Statistical limits of dictionary learning: random matrix theory and the spectral replica method
- DSDF: An approach to handle stochastic agents in collaborative multi-agent reinforcement learning
- MDAPT: Multilingual Domain Adaptive Pretraining in a Single Model
- Non-Parametric Unsupervised Domain Adaptation for Neural Machine Translation
- Just What do You Think You're Doing, Dave?' A Checklist for Responsible Data Use in NLP
- High-Fidelity GAN Inversion for Image Attribute Editing
- Sum-Product-Attention Networks: Leveraging Self-Attention in Probabilistic Circuits
- Choosing the Right Algorithm With Hints From Complexity Theory
- A Semantic Indexing Structure for Image Retrieval
- Continuous Homeostatic Reinforcement Learning for Self-Regulated Autonomous Agents
- Bayesian AirComp with Sign-Alignment Precoding for Wireless Federated Learning
- Variation-Incentive Loss Re-weighting for Regression Analysis on Biased Data
- Anomaly Attribution of Multivariate Time Series using Counterfactual Reasoning
- Talking Space: inference from spatial linguistic meanings
- Dense Deep Unfolding Network with 3D-CNN Prior for Snapshot Compressive Imaging
- Multi-Scale Input Strategies for Medulloblastoma Tumor Classification using Deep Transfer Learning
- Foreground Object Structure Transfer for Unsupervised Domain Adaptation
- 3-Dimensional Deep Learning with Spatial Erasing for Unsupervised Anomaly Segmentation in Brain MRI
- Challenging Instances are Worth Learning: Generating Valuable Negative Samples for Response Selection Training
- Improving Gradient-based Adversarial Training for Text Classification by Contrastive Learning and Auto-Encoder
- Learning Bill Similarity with Annotated and Augmented Corpora of Bills
- Image-Based Alignment of 3D Scans
- Different Strokes for Different Folks: Investigating Appropriate Further Pre-training Approaches for Diverse Dialogue Tasks
- Dependability Analysis of Deep Reinforcement Learning based Robotics and Autonomous Systems through Probabilistic Model Checking
- Efficient Sampling of Dependency Structures
- Netmarble AI Center's WMT21 Automatic Post-Editing Shared Task Submission
- Exploring Prompt-based Few-shot Learning for Grounded Dialog Generation
- Tribrid: Stance Classification with Neural Inconsistency Detection
- Optimal To-Do List Gamification for Long Term Planning
- conSultantBERT: Fine-tuned Siamese Sentence-BERT for Matching Jobs and Job Seekers
- Instance-wise Graph-based Framework for Multivariate Time Series Forecasting
- Multilevel profiling of situation and dialogue-based deep networks for movie genre classification using movie trailers
- Conditional Synthetic Data Generation for Robust Machine Learning Applications with Limited Pandemic Data
- AligNART: Non-autoregressive Neural Machine Translation by Jointly Learning to Estimate Alignment and Translate
- Logic-level Evidence Retrieval and Graph-based Verification Network for Table-based Fact Verification
- Large-scale Autonomous Flight with Real-time Semantic SLAM under Dense Forest Canopy
- Space Time Recurrent Memory Network
- Identifying Untrustworthy Samples: Data Filtering for Open-domain Dialogues with Bayesian Optimization
- Deep Denerative Models for Drug Design and Response
- Dodging Attack Using Carefully Crafted Natural Makeup
- Task-adaptive Pre-training and Self-training are Complementary for Natural Language Understanding
- A Machine-learning Framework for Acoustic Design Assessment in Early Design Stages
- Spiking Neural Networks for Visual Place Recognition via Weighted Neuronal Assignments
- A machine-learning framework for daylight and visual comfort assessment in early design stages
- Deep hierarchical reinforcement agents for automated penetration testing
- Tesla-Rapture: A Lightweight Gesture Recognition System from mmWave Radar Point Clouds
- Structure-Enhanced Pop Music Generation via Harmony-Aware Learning
- Complexity-aware Adaptive Training and Inference for Edge-Cloud Distributed AI Systems
- Uncovering Implicit Gender Bias in Narratives through Commonsense Inference
- YES SIR!Optimizing Semantic Space of Negatives with Self-Involvement Ranker
- Improved Few-shot Segmentation by Redefinition of the Roles of Multi-level CNN Features
- Exploring the Long Short-Term Dependencies to Infer Shot Influence in Badminton Matches
- Robust Inverse Framework using Knowledge-guided Self-Supervised Learning: An application to Hydrology
- Commonsense-Focused Dialogues for Response Generation: An Empirical Study
- Cross-Region Domain Adaptation for Class-level Alignment
- COVID-Net MLSys: Designing COVID-Net for the Clinical Workflow
- Cross-document Event Identity via Dense Annotation
- MMCoVaR: Multimodal COVID-19 Vaccine Focused Data Repository for Fake News Detection and a Baseline Architecture for Classification
- Gradient Imitation Reinforcement Learning for Low Resource Relation Extraction
- Reinforcement Learning with Evolutionary Trajectory Generator: A General Approach for Quadrupedal Locomotion
- Neural Networks with Physics-Informed Architectures and Constraints for Dynamical Systems Modeling
- Detecting Multi-Sensor Fusion Errors in Advanced Driver-Assistance Systems
- Exploring Personality and Online Social Engagement: An Investigation of MBTI Users on Twitter
- Camera-Tracklet-Aware Contrastive Learning for Unsupervised Vehicle Re-Identification
- Progressively Guide to Attend: An Iterative Alignment Framework for Temporal Sentence Grounding
- Adaptive Proposal Generation Network for Temporal Sentence Localization in Videos
- AdaPruner: Adaptive Channel Pruning and Effective Weights Inheritance
- On Distributed Learning with Constant Communication Bits
- Rationales for Sequential Predictions
- Compression, Transduction, and Creation: A Unified Framework for Evaluating Natural Language Generation
- Hunspell for Sorani Kurdish Spell Checking and Morphological Analysis