Papers
Fri 10 Sep 2021
173 papers
- Towards Developing a Multilingual and Code-Mixed Visual Question Answering System by Knowledge DistillationKnowledge distillation → Multimodal distillation
- Learning to Teach with Student FeedbackKnowledge distillation → General knowledge distillation methods
- Projected State-action Balancing Weights for Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
- Life in a random universe: Sciama's argument reconsidered
- A framework for benchmarking uncertainty in deep regression
- R3LIVE: A Robust, Real-time, RGB-colored, LiDAR-Inertial-Visual tightly-coupled state Estimation and mapping package
- Combining GEDI and Sentinel-2 for wall-to-wall mapping of tall and short crops
- Investigation of condominium building collapse in Surfside, Florida: A video feature tracking approach
- Open-World Active Learning with Stacking Ensemble for Self-Driving Cars
- Scalable Font Reconstruction with Dual Latent Manifolds
- Efficient Contrastive Learning via Novel Data Augmentation and Curriculum Learning
- Refocusing on Relevance: Personalization in NLG
- Near Instance Optimal Model Selection for Pure Exploration Linear Bandits
- D-REX: Dialogue Relation Extraction with Explanations
- MURAL: Multimodal, Multitask Retrieval Across Languages
- Partially-Supervised Novel Object Captioning Leveraging Context from Paired Data
- Improved Latent Tree Induction with Distant Supervision via Span Constraints
- An Empirical Comparison of Off-policy Prediction Learning Algorithms in the Four Rooms Environment
- Toward Communication Efficient Adaptive Gradient Method
- Attention-based Contrastive Learning for Winograd Schemas
- Towards Zero-shot Commonsense Reasoning with Self-supervised Refinement of Language Models
- Machine learning reveals how personalized climate communication can both succeed and backfire
- No Size Fits All: Automated Radio Configuration for LPWANs
- HypoGen: Hyperbole Generation with Commonsense and Counterfactual Knowledge
- Stochastic Adversarial Koopman Model for Dynamical Systems
- PICARD: Parsing Incrementally for Constrained Auto-Regressive Decoding from Language Models
- Enhancing Self-Disclosure In Neural Dialog Models By Candidate Re-ranking
- Global and Local Interpretation of black-box Machine Learning models to determine prognostic factors from early COVID-19 data
- Preliminary Wildfire Detection Using State-of-the-art PTZ (Pan, Tilt, Zoom) Camera Technology and Convolutional Neural Networks
- A semi-supervised self-training method to develop assistive intelligence for segmenting multiclass bridge elements from inspection videos
- Data Generation Method for Learning a Low-dimensional Safe Region in Safe Reinforcement Learning
- On the Compression of Neural Networks Using ℓ0-Norm Regularization and Weight Pruning
- FBERT: A Neural Transformer for Identifying Offensive Content
- Simultaneous Perception-Action Design via Invariant Finite Belief Sets
- Instance-Conditioned GAN
- Speaker Turn Modeling for Dialogue Act Classification
- Physics-based machine learning for modeling stochastic IP3-dependent calcium dynamics
- Entity-Based Knowledge Conflicts in Question Answering
- PAC Mode Estimation using PPR Martingale Confidence Sequences
- Reference-Centric Models for Grounded Collaborative Dialogue
- Medulloblastoma Tumor Classification using Deep Transfer Learning with Multi-Scale EfficientNets
- Optimizing a domestic battery and solar photovoltaic system with deep reinforcement learning
- Real-time multimodal image registration with partial intraoperative point-set data
- Potential-based Reward Shaping in Sokoban
- A Deep Learning-Based Unified Framework for Red Lesions Detection on Retinal Fundus Images
- Neural Machine Translation Quality and Post-Editing Performance
- An Empirical Study of GPT-3 for Few-Shot Knowledge-Based VQA
- PWPAE: An Ensemble Framework for Concept Drift Adaptation in IoT Data Streams
- BiSECT: Learning to Split and Rephrase Sentences with Bitexts
- Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training
- Assessing the Quality of the Datasets by Identifying Mislabeled Samples
- Fairness without the sensitive attribute via Causal Variational Autoencoder
- Box Embeddings: An open-source library for representation learning using geometric structures
- Topic-Aware Contrastive Learning for Abstractive Dialogue Summarization
- Detection of GAN-synthesized street videos
- Unsupervised Change Detection in Hyperspectral Images using Feature Fusion Deep Convolutional Autoencoders
- Panoptic Narrative Grounding
- Multi-agent deep reinforcement learning (MADRL) meets multi-user MIMO systems
- A Neural Tangent Kernel Perspective of Infinite Tree Ensembles
- A Study of Joint Graph Inference and Forecasting
- Citizen centric optimal electric vehicle charging stations locations in a full city: case of Malaga
- View Blind-spot as Inpainting: Self-Supervised Denoising with Mask Guided Residual Convolution
- Automatic Displacement and Vibration Measurement in Laboratory Experiments with A Deep Learning Method
- Controlled Neural Sentence-Level Reframing of News Articles
- Saliency Guided Experience Packing for Replay in Continual Learning
- Does Pretraining for Summarization Require Knowledge Transfer?
- We went to look for meaning and all we got were these lousy representations: aspects of meaning representation for computational semantics
- Tiered Reasoning for Intuitive Physics: Toward Verifiable Commonsense Language Understanding
- Best-Arm Identification in Correlated Multi-Armed Bandits
- Modeling Human Sentence Processing with Left-Corner Recurrent Neural Network Grammars
- Rapid Model Architecture Adaption for Meta-Learning
- Beyond the Tip of the Iceberg: Assessing Coherence of Text Classifiers
- Examining Cross-lingual Contextual Embeddings with Orthogonal Structural Probes
- EmoWOZ: A Large-Scale Corpus and Labelling Scheme for Emotion Recognition in Task-Oriented Dialogue Systems
- Unsupervised classification of simulated magnetospheric regions
- ReasonBERT: Pre-trained to Reason with Distant Supervision
- How Can Subgroup Discovery Help AIOps?
- Document-level Entity-based Extraction as Template Generation
- LibFewShot: A Comprehensive Library for Few-shot Learning
- SO-SLAM: Semantic Object SLAM with Scale Proportional and Symmetrical Texture Constraints
- ProcK: Machine Learning for Knowledge-Intensive Processes
- Hybrid modeling of the human cardiovascular system using NeuralFMUs
- Efficient Test Time Adapter Ensembling for Low-resource Language Varieties
- Integrating Approaches to Word Representation
- Neural Networks for Latent Budget Analysis of Compositional Data
- Negative Sample Matters: A Renaissance of Metric Learning for Temporal Grounding
- Spatio-Temporal Recurrent Networks for Event-Based Optical Flow Estimation
- MultiAzterTest: a Multilingual Analyzer on Multiple Levels of Language for Readability Assessment
- Heading Estimation Using Ultra-Wideband Received Signal Strength and Gaussian Processes
- Studying word order through iterative shuffling
- Emerging AI Security Threats for Autonomous Cars -- Case Studies
- CoPHE: A Count-Preserving Hierarchical Evaluation Metric in Large-Scale Multi-Label Text Classification
- Active learning for reducing labeling effort in text classification tasks
- Temporally Coherent Person Matting Trained on Fake-Motion Dataset
- Block Pruning For Faster Transformers
- FR-Detect: A Multi-Modal Framework for Early Fake News Detection on Social Media Using Publishers Features
- An Evaluation Dataset and Strategy for Building Robust Multi-turn Response Selection Model
- Multimodal Federated Learning on IoT Data
- Asking It All: Generating Contextualized Questions for any Semantic Role
- Simulating the Effects of Eco-Friendly Transportation Selections for Air Pollution Reduction
All 173
- Solving the Extended Job Shop Scheduling Problem with AGVs -- Classical and Quantum Approaches
- Artificial Text Detection via Examining the Topology of Attention Maps
- Inverse design of 3d molecular structures with conditional generative neural networks
- KNODE-MPC: A Knowledge-based Data-driven Predictive Control Framework for Aerial Robots
- Does It Capture STEL? A Modular, Similarity-based Linguistic Style Evaluation Framework
- TACS: Taxonomy Adaptive Cross-Domain Semantic Segmentation
- Mixture-of-Partitions: Infusing Large Biomedical Knowledge Graphs into BERT
- Efficient Locally Optimal Number Set Partitioning for Scheduling, Allocation and Fair Selection
- Secondary control activation analysed and predicted with explainable AI
- Mesh convolutional neural networks for wall shear stress estimation in 3D artery models
- Exophoric Pronoun Resolution in Dialogues with Topic Regularization
- Self-Attention Channel Combinator Frontend for End-to-End Multichannel Far-field Speech Recognition
- RoR: Read-over-Read for Long Document Machine Reading Comprehension
- Improving Multilingual Translation by Representation and Gradient Regularization
- A Strong Baseline for Query Efficient Attacks in a Black Box Setting
- Multi-label Classification of Aircraft Heading Changes Using Neural Network to Resolve Conflicts
- Dual-State Capsule Networks for Text Classification
- ReconfigISP: Reconfigurable Camera Image Processing Pipeline
- Low-rank statistical finite elements for scalable model-data synthesis
- Line as a Visual Sentence: Context-aware Line Descriptor for Visual Localization
- Counterfactual Adversarial Learning with Representation Interpolation
- Automated Machine Learning, Bounded Rationality, and Rational Metareasoning
- How Does Fine-tuning Affect the Geometry of Embedding Space: A Case Study on Isotropy
- On the validity of pre-trained transformers for natural language processing in the software engineering domain
- Temporal Pyramid Transformer with Multimodal Interaction for Video Question Answering
- Genre as Weak Supervision for Cross-lingual Dependency Parsing
- Assessing the Reliability of Word Embedding Gender Bias Measures
- Boosting Graph Search with Attention Network for Solving the General Orienteering Problem
- A Simple and Effective Method To Eliminate the Self Language Bias in Multilingual Representations
- AutoTriggER: Label-Efficient and Robust Named Entity Recognition with Auxiliary Trigger Extraction
- 6MapNet: Representing soccer players from tracking data by a triplet network
- AfroMT: Pretraining Strategies and Reproducible Benchmarks for Translation of 8 African Languages
- Balancing Methods for Multi-label Text Classification with Long-Tailed Class Distribution
- Pre-train or Annotate? Domain Adaptation with a Constrained Budget
- Dynamic Terminology Integration for COVID-19 and other Emerging Domains
- Knowledge-Aware Meta-learning for Low-Resource Text Classification
- Rethinking Zero-shot Neural Machine Translation: From a Perspective of Latent Variables
- Heterogeneous Graph Neural Networks for Keyphrase Generation
- EfficientCLIP: Efficient Cross-Modal Pre-training by Ensemble Confident Learning and Language Modeling
- Face-NMS: A Core-set Selection Approach for Efficient Face Recognition
- Unfolding Projection-free SDP Relaxation of Binary Graph Classifier via GDPA Linearization
- Generating Self-Contained and Summary-Centric Question Answer Pairs via Differentiable Reward Imitation Learning
- Residual 3D Scene Flow Learning with Context-Aware Feature Extraction
- Enhancing Unsupervised Anomaly Detection with Score-Guided Network
- PIP: Physical Interaction Prediction via Mental Simulation with Span Selection
- DIALKI: Knowledge Identification in Conversational Systems through Dialogue-Document Contextualization
- Investigating Numeracy Learning Ability of a Text-to-Text Transfer Model
- Interaction Models and Generalized Score Matching for Compositional Data
- Euphemistic Phrase Detection by Masked Language Model
- Dynamic Collective Intelligence Learning: Finding Efficient Sparse Model via Refined Gradients for Pruned Weights
- Zero-Shot Dialogue State Tracking via Cross-Task Transfer
- Per Garment Capture and Synthesis for Real-time Virtual Try-on
- Predicting emergent linguistic compositions through time: Syntactic frame extension via multimodal chaining
- What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers
- AI Agents in Emergency Response Applications
- CINS: Comprehensive Instruction for Few-shot Learning in Task-oriented Dialog Systems
- Knowledge-Assisted Reasoning of Model-Augmented System Requirements with Event Calculus and Goal-Directed Answer Set Programming
- ACFNet: Adaptively-Cooperative Fusion Network for RGB-D Salient Object Detection
- A Fast PC Algorithm with Reversed-order Pruning and A Parallelization Strategy
- Style Pooling: Automatic Text Style Obfuscation for Improved Classification Fairness
- ReLU Regression with Massart Noise
- Rule-based Morphological Inflection Improves Neural Terminology Translation
- Efficiently Identifying Task Groupings for Multi-Task Learning
- Differential Privacy in Personalized Pricing with Nonparametric Demand Models
- Query-driven Segment Selection for Ranking Long Documents
- An Exploratory Study on Long Dialogue Summarization: What Works and What's Next
- Spatially Focused Attack against Spatiotemporal Graph Neural Networks
- IndoBERTweet: A Pretrained Language Model for Indonesian Twitter with Effective Domain-Specific Vocabulary Initialization
- How May I Help You? Using Neural Text Simplification to Improve Downstream NLP Tasks
- Augmenting BERT-style Models with Predictive Coding to Improve Discourse-level Representations
- EVOQUER: Enhancing Temporal Grounding with Video-Pivoted BackQuery Generation
- Automatic Portrait Video Matting via Context Motion Network
- C-MinHash: Practically Reducing Two Permutations to Just One