Papers
Tue 21 Sep 2021
151 papers
- RETRONLU: Retrieval Augmented Task-Oriented Semantic ParsingRetrieval-augmented generation → Generation and context integration
- Demonstration-Efficient Guided Policy Search via Imitation of Robust Tube MPCOffline RL and imitation learning from data → Imitation learning methods
- Distilling Relation Embeddings from Pre-trained Language Models
- An Add-On for Empowering Google Forms to be an Automatic Question Generator in Online Assessments
- Learning Domain Specific Language Models for Automatic Speech Recognition through Machine Translation
- Rebuilding Trust: Queer in AI Approach to Artificial Intelligence Risk Management
- Active inference, Bayesian optimal design, and expected utility
- Introduce the Result Into Self-Attention
- Efficiently solving the thief orienteering problem with a max-min ant colony optimization approach
- Towards the Classification of Error-Related Potentials using Riemannian Geometry
- Improved optimization strategies for deep Multi-Task Networks
- Recurrent Neural Networks for Partially Observed Dynamical Systems
- wsGAT: Weighted and Signed Graph Attention Networks for Link Prediction
- Graph Neural Netwrok with Interaction Pattern for Group Recommendation
- Towards Explainable Scientific Venue Recommendations
- Segmentation with mixed supervision: Confidence maximization helps knowledge distillation
- Query Evaluation in DatalogMTL -- Taming Infinite Query Results
- Finding Facial Forgery Artifacts with Parts-Based Detectors
- Achieving Counterfactual Fairness for Causal Bandit
- Extracting Fine-Grained Knowledge Graphs of Scientific Claims: Dataset and Transformer-Based Results
- Personalized Online Machine Learning
- Fairness-aware Class Imbalanced Learning
- Selecting Datasets for Evaluating an Enhanced Deep Learning Framework
- Evaluating Debiasing Techniques for Intersectional Biases
- Classification with Nearest Disjoint Centroids
- Beyond Discriminant Patterns: On the Robustness of Decision Rule Ensembles
- Fairness without Imputation: A Decision Tree Approach for Fair Prediction with Missing Values
- GAP2WSS: A Genetic Algorithm based on the Pareto Principle for Web Service Selection
- What Would it Take to get Biomedical QA Systems into Practice?
- Digital Signal Processing Using Deep Neural Networks
- SubseasonalClimateUSA: A Dataset for Subseasonal Forecasting and Benchmarking
- Grammatical Profiling for Semantic Change Detection
- Towards a Real-Time Facial Analysis System
- Coast Sargassum Level Estimation from Smartphone Pictures
- Deep Policies for Online Bipartite Matching: A Reinforcement Learning Approach
- Learning through structure: towards deep neuromorphic knowledge graph embeddings
- Robust marginalization of baryonic effects for cosmological inference at the field level
- An Ultra-Fast Method for Simulation of Realistic Ultrasound Images
- Relation-Guided Pre-Training for Open-Domain Question Answering
- Multilingual Document-Level Translation Enables Zero-Shot Transfer From Sentences to Documents
- Homography augumented momentum constrastive learning for SAR image retrieval
- Data-driven controllers and the need for perception systems in underwater manipulation
- CondNet: Conditional Classifier for Scene Segmentation
- Community detection for weighted bipartite networks
- Introduction to Neural Network Verification
- Example-Driven Model-Based Reinforcement Learning for Solving Long-Horizon Visuomotor Tasks
- Learning PAC-Bayes Priors for Probabilistic Neural Networks
- Computing Complexity-aware Plans Using Kolmogorov Complexity
- Assured Neural Network Architectures for Control and Identification of Nonlinear Systems
- DeepSTL -- From English Requirements to Signal Temporal Logic
- Early and Revocable Time Series Classification
- TrOCR: Transformer-based Optical Character Recognition with Pre-trained Models
- Ranking Feature-Block Importance in Artificial Multiblock Neural Networks
- The Trade-offs of Domain Adaptation for Neural Language Models
- SemCal: Semantic LiDAR-Camera Calibration using Neural MutualInformation Estimator
- Comparison of single and multitask learning for predicting cognitive decline based on MRI data
- AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators
- Arterial blood pressure waveform in liver transplant surgery possesses variability of morphology reflecting recipients' acuity and predicting short term outcomes
- Skeleton-Graph: Long-Term 3D Motion Prediction From 2D Observations Using Deep Spatio-Temporal Graph CNNs
- Multi-Task Learning with Sentiment, Emotion, and Target Detection to Recognize Hate Speech and Offensive Language
- Uncertainty Toolbox: an Open-Source Library for Assessing, Visualizing, and Improving Uncertainty Quantification
- Short-term traffic prediction using physics-aware neural networks
- Audiomer: A Convolutional Transformer For Keyword Spotting
- Does Vision-and-Language Pretraining Improve Lexical Grounding?
- BERTweetFR : Domain Adaptation of Pre-Trained Language Models for French Tweets
- SalienTrack: providing salient information for semi-automated self-tracking feedback with model explanations
- Blindness to Modality Helps Entailment Graph Mining
- Adaptive Reliability Analysis for Multi-fidelity Models using a Collective Learning Strategy
- Shape Inference and Grammar Induction for Example-based Procedural Generation
- Off-line approximate dynamic programming for the vehicle routing problem with a highly variable customer basis and stochastic demands
- Design and implementation of a parsimonious neuromorphic PID for onboard altitude control for MAVs using neuromorphic processors
- One Source, Two Targets: Challenges and Rewards of Dual Decoding
- TranslateLocally: Blazing-fast translation running on the local CPU
- Oriented Object Detection in Aerial Images Based on Area Ratio of Parallelogram
- How Familiar Does That Sound? Cross-Lingual Representational Similarity Analysis of Acoustic Word Embeddings
- Long-Term Exploration in Persistent MDPs
- RAIL-KD: RAndom Intermediate Layer Mapping for Knowledge Distillation
- Learning low-degree functions from a logarithmic number of random queries
- 3D Point Cloud Completion with Geometric-Aware Adversarial Augmentation
- Interpretable Directed Diversity: Leveraging Model Explanations for Iterative Crowd Ideation
- Knowledge Distillation with Noisy Labels for Natural Language Understanding
- Self-supervised Representation Learning for Reliable Robotic Monitoring of Fruit Anomalies
- Are Transformers a Modern Version of ELIZA? Observations on French Object Verb Agreement
- Learning General Optimal Policies with Graph Neural Networks: Expressive Power, Transparency, and Limits
- KDFNet: Learning Keypoint Distance Field for 6D Object Pose Estimation
- ConvFiT: Conversational Fine-Tuning of Pretrained Language Models
- Survey on Semantic Stereo Matching / Semantic Depth Estimation
- mGNN: Generalizing the Graph Neural Networks to the Multilayer Case
- A Comprehensive Review on Summarizing Financial News Using Deep Learning
- StereOBJ-1M: Large-scale Stereo Image Dataset for 6D Object Pose Estimation
- On the Difficulty of Segmenting Words with Attention
- Distributed Mission Planning of Complex Tasks for Heterogeneous Multi-Robot Teams
- InvBERT: Reconstructing Text from Contextualized Word Embeddings by inverting the BERT pipeline
- A Novel Structured Natural Gradient Descent for Deep Learning
- Transferability of Graph Neural Networks: an Extended Graphon Approach
- Bayesian Confidence Calibration for Epistemic Uncertainty Modelling
- SPLADE v2: Sparse Lexical and Expansion Model for Information Retrieval
- Heterogeneous Ensemble for ESG Ratings Prediction
- PDFNet: Pointwise Dense Flow Network for Urban-Scene Segmentation
- DeepTimeAnomalyViz: A Tool for Visualizing and Post-processing Deep Learning Anomaly Detection Results for Industrial Time-Series
All 151
- NADE: A Benchmark for Robust Adverse Drug Events Extraction in Face of Negations
- Learning Interpretable Concept Groups in CNNs
- Scale-aware direct monocular odometry
- Scenario generation for market risk models using generative neural networks
- Comparison of Neural Network based Soft Computing Techniques for Electromagnetic Modeling of a Microstrip Patch Antenna
- Graph Neural Networks for Graph Drawing
- DS-Net++: Dynamic Weight Slicing for Efficient Inference in CNNs and Transformers
- LOTR: Face Landmark Localization Using Localization Transformer
- Single Person Pose Estimation: A Survey
- Toward a Fairness-Aware Scoring System for Algorithmic Decision-Making
- Stepmothers are mean and academics are pretentious: What do pretrained language models learn about you?
- Search For Deep Graph Neural Networks
- Something Old, Something New: Grammar-based CCG Parsing with Transformer Models
- VPN: Video Provenance Network for Robust Content Attribution
- Learning offline: memory replay in biological and artificial reinforcement learning
- Not All Comments are Equal: Insights into Comment Moderation from a Topic-Aware Model
- Self-Supervised Action-Space Prediction for Automated Driving
- Stabilizing Elastic Weight Consolidation method in practical ML tasks and using weight importances for neural network pruning
- Online Multi-horizon Transaction Metric Estimation with Multi-modal Learning in Payment Networks
- CONQUER: Contextual Query-aware Ranking for Video Corpus Moment Retrieval
- Negation-Instance Based Evaluation of End-to-End Negation Resolution
- Unsupervised Abstract Reasoning for Raven's Problem Matrices
- Generating Local Maps of Science using Deep Bibliographic Coupling
- Vaccine allocation policy optimization and budget sharing mechanism using Thompson sampling
- Automated segmentation and extraction of posterior eye segment using OCT scans
- Learning Kernel-Smoothed Machine Translation with Retrieved Examples
- Signal Classification using Smooth Coefficients of Multiple wavelets
- Fast nonlinear risk assessment for autonomous vehicles using learned conditional probabilistic models of agent futures
- Adaptive Control of SE(3) Hamiltonian Dynamics with Learned Disturbance Features
- Generalization in Text-based Games via Hierarchical Reinforcement Learning
- Multi-Source Video Domain Adaptation with Temporal Attentive Moment Alignment
- Non-parametric Kernel-Based Estimation of Probability Distributions for Precipitation Modeling
- Mutual Consistency Learning for Semi-supervised Medical Image Segmentation
- FakeWake: Understanding and Mitigating Fake Wake-up Words of Voice Assistants
- Multi-Domain Few-Shot Learning and Dataset for Agricultural Applications
- Neural networks with trainable matrix activation functions
- Identifying biases in legal data: An algorithmic fairness perspective
- IgNet. A Super-precise Convolutional Neural Network
- MESSFN : a Multi-level and Enhanced Spectral-Spatial Fusion Network for Pan-sharpening
- Robust Extrinsic Symmetry Estimation in 3D Point Clouds
- AutoPhoto: Aesthetic Photo Capture using Reinforcement Learning
- Survey: Transformer based Video-Language Pre-training
- Meta-Model Structure Selection: Building Polynomial NARX Model for Regression and Classification
- Physics-based Human Motion Estimation and Synthesis from Videos
- Audio Interval Retrieval using Convolutional Neural Networks
- Symbols as a Lingua Franca for Bridging Human-AI Chasm for Explainable and Advisable AI Systems
- AirDOS: Dynamic SLAM benefits from Articulated Objects
- Modeling Adversarial Noise for Adversarial Training
- Representation Learning for Short Text Clustering
- A Distance-based Anomaly Detection Framework for Deep Reinforcement Learning
- Chemical-Reaction-Aware Molecule Representation Learning