Papers
Thu 23 Sep 2021
147 papers
- LGD: Label-guided Self-distillation for Object DetectionKnowledge distillation → Detection and dense prediction distillation
- Dynamic Knowledge Distillation for Pre-trained Language ModelsKnowledge distillation → General knowledge distillation methods
- Semi-Supervised Imitation Learning with Mixed Qualities of Demonstrations for Autonomous DrivingEnd-to-end autonomous driving → Imitation-learning end-to-end planners +1
- Non-Parametric Online Learning from Human Feedback for Neural Machine TranslationLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Models for Narrative Information: A Study
- The Role of Bio-Inspired Modularity in General Learning
- IRMAC: Interpretable Refined Motifs in Binary Classification for Smart Grid Applications
- Overview of the CLEF--2021 CheckThat! Lab on Detecting Check-Worthy Claims, Previously Fact-Checked Claims, and Fake News
- Findings of the NLP4IF-2021 Shared Tasks on Fighting the COVID-19 Infodemic and Censorship Detection
- Synerise at RecSys 2021: Twitter user engagement prediction with a fast neural model
- Accurate Remaining Useful Life Prediction with Uncertainty Quantification: a Deep Learning and Nonstationary Gaussian Process Approach
- Dimension-Free Rates for Natural Policy Gradient in Multi-Agent Reinforcement Learning
- Discovering and Validating AI Errors With Crowdsourced Failure Reports
- Optimal Decision Making in High-Throughput Virtual Screening Pipelines
- Paint4Poem: A Dataset for Artistic Visualization of Classical Chinese Poems
- Simple and Effective Zero-shot Cross-lingual Phoneme Recognition
- Theory of overparametrization in quantum neural networks
- A Multi-Agent Deep Reinforcement Learning Coordination Framework for Connected and Automated Vehicles at Merging Roadways
- Exact Learning of Qualitative Constraint Networks from Membership Queries
- Deep Reinforcement Learning-Based Long-Range Autonomous Valet Parking for Smart Cities
- Modeling Dynamic Attributes for Next Basket Recommendation
- Deep Learning with Kernel Flow Regularization for Time Series Forecasting
- A Learned Stereo Depth System for Robotic Manipulation in Homes
- Turn-to-Diarize: Online Speaker Diarization Constrained by Transformer Transducer Speaker Turn Detection
- Learning Generative Deception Strategies in Combinatorial Masking Games
- Revisiting the Uniform Information Density Hypothesis
- Joint Estimation and Inference for Multi-Experiment Networks of High-Dimensional Point Processes
- iFacetSum: Coreference-based Interactive Faceted Summarization for Multi-Document Exploration
- Keypoints-Based Deep Feature Fusion for Cooperative Vehicle Detection of Autonomous Driving
- Fast Point Voxel Convolution Neural Network with Selective Feature Fusion for Point Cloud Semantic Segmentation
- Regret Lower Bound and Optimal Algorithm for High-Dimensional Contextual Linear Bandit
- SPNet: Multi-Shell Kernel Convolution for Point Cloud Semantic Segmentation
- Document Automation Architectures and Technologies: A Survey
- Chess AI: Competing Paradigms for Machine Intelligence
- Adaptive Sampling using POMDPs with Domain-Specific Considerations
- Long Short View Feature Decomposition via Contrastive Video Representation Learning
- Evaluating Attacker Risk Behavior in an Internet of Things Ecosystem
- Remaining useful life prediction with uncertainty quantification: development of a highly accurate model for rotating machinery
- Text Ranking and Classification using Data Compression
- Efficient, Interpretable Graph Neural Network Representation for Angle-dependent Properties and its Application to Optical Spectroscopy
- Weakly-Supervised Monocular Depth Estimationwith Resolution-Mismatched Data
- SAME: Deformable Image Registration based on Self-supervised Anatomical Embeddings
- Bayesian Active Learning for Sim-to-Real Robotic Perception
- Lifelong 3D Object Recognition and Grasp Synthesis Using Dual Memory Recurrent Self-Organization Networks
- ADVERSARIALuscator: An Adversarial-DRL Based Obfuscator and Metamorphic Malware SwarmGenerator
- CSAGN: Conversational Structure Aware Graph Network for Conversational Semantic Role Labeling
- MARMOT: A Deep Learning Framework for Constructing Multimodal Representations for Vision-and-Language Tasks
- End-to-End AI-based MRI Reconstruction and Lesion Detection Pipeline for Evaluation of Deep Learning Image Reconstruction
- How much human-like visual experience do current self-supervised learning algorithms need in order to achieve human-level object recognition?
- Outlier-Robust Sparse Estimation via Non-Convex Optimization
- Temporal Inference with Finite Factored Sets
- Multidimensional Scaling: Approximation and Complexity
- Leveraging distributed contact force measurements for slip detection: a physics-based approach enabled by a data-driven tactile sensor
- Finding a Balanced Degree of Automation for Summary Evaluation
- Inequality Constrained Stochastic Nonlinear Optimization via Active-Set Sequential Quadratic Programming
- LSTM Hyper-Parameter Selection for Malware Detection: Interaction Effects and Hierarchical Selection Approach
- DeepAID: Interpreting and Improving Deep Learning-based Anomaly Detection in Security Applications
- Putting Words in BERT's Mouth: Navigating Contextualized Vector Spaces with Pseudowords
- Improving Tuberculosis (TB) Prediction using Synthetically Generated Computed Tomography (CT) Images
- Self-supervised Learning for Semi-supervised Temporal Language Grounding
- Safe-Planner: A Single-Outcome Replanner for Computing Strong Cyclic Policies in Fully Observable Non-Deterministic Domains
- Semantic Segmentation-assisted Scene Completion for LiDAR Point Clouds
- Revisit Geophysical Imaging in A New View of Physics-informed Generative Adversarial Learning
- Learning Dynamics from Noisy Measurements using Deep Learning with a Runge-Kutta Constraint
- Corpus and Models for Lemmatisation and POS-tagging of Old French
- DeepRare: Generic Unsupervised Visual Attention Models
- Exploring Machine Teaching with Children
- Deep Learning for Ultrasound Beamforming
- Robin Hood and Matthew Effects: Differential Privacy Has Disparate Impact on Synthetic Data
- An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series
- Automated Fact-Checking: A Survey
- Layered Neural Atlases for Consistent Video Editing
- A survey of Bayesian Network structure learning
- Learning to Robustly Aggregate Labeling Functions for Semi-supervised Data Programming
- Named Entity Recognition and Classification on Historical Documents: A Survey
- Learning the noise fingerprint of quantum devices
- Hierarchical Memory Matching Network for Video Object Segmentation
- Deep Neural Network Algorithms for Parabolic PIDEs and Applications in Insurance Mathematics
- A Skeleton-Driven Neural Occupancy Representation for Articulated Hands
- Scene Graph Generation for Better Image Captioning?
- Generalisations and improvements of New Q-Newton's method Backtracking
- Cross Attention-guided Dense Network for Images Fusion
- Cluster-based Mention Typing for Named Entity Disambiguation
- Energy efficient distributed analytics at the edge of the network for IoT environments
- Fast Density Estimation for Density-based Clustering Methods
- WRENCH: A Comprehensive Benchmark for Weak Supervision
- Stochastic Normalizing Flows for Inverse Problems: a Markov Chains Viewpoint
- Recent Advances of Continual Learning in Computer Vision: An Overview
- Arbitrary-Depth Universal Approximation Theorems for Operator Neural Networks
- PRANet: Point Cloud Registration with an Artificial Agent
- Orthogonal Graph Neural Networks
- Towards Generalized and Incremental Few-Shot Object Detection
- Integrating Pattern- and Fact-based Fake News Detection via Model Preference Learning
- Quantum algorithms for group convolution, cross-correlation, and equivariant transformations
- Reinforcement Learning Under Algorithmic Triage
- The Current State of Finnish NLP
- Federated Feature Selection for Cyber-Physical Systems of Systems
- Transferring Knowledge from Vision to Language: How to Achieve it and how to Measure it?
- Active Learning for Argument Strength Estimation
- The Hilti SLAM Challenge Dataset
All 147
- ParaShoot: A Hebrew Question Answering Dataset
- Multi-resolution deep learning pipeline for dense large scale point clouds
- Breaking BERT: Understanding its Vulnerabilities for Named Entity Recognition through Adversarial Attack
- Deep Learning Strategies for Industrial Surface Defect Detection Systems
- A Survey on Cost Types, Interaction Schemes, and Annotator Performance Models in Selection Algorithms for Active Learning in Classification
- Don't be Contradicted with Anything! CI-ToD: Towards Benchmarking Consistency for Task-oriented Dialogue System
- Enhancing Navigational Safety in Crowded Environments using Semantic-Deep-Reinforcement-Learning-based Navigation
- Unbiased Loss Functions for Multilabel Classification with Missing Labels
- High-dimensional regression with potential prior information on variable importance
- End-to-End Dense Video Grounding via Parallel Regression
- Can Question Generation Debias Question Answering Models? A Case Study on Question-Context Lexical Overlap
- Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning
- FooBaR: Fault Fooling Backdoor Attack on Neural Network Training
- The Volctrans GLAT System: Non-autoregressive Translation Meets WMT21
- Coded Computation across Shared Heterogeneous Workers with Communication Delay
- Pairwise Emotional Relationship Recognition in Drama Videos: Dataset and Benchmark
- Pregroup Grammars, their Syntax and Semantics
- The Role of Tactile Sensing in Learning and Deploying Grasp Refinement Algorithms
- Fuzzy Generalised Quantifiers for Natural Language in Categorical Compositional Distributional Semantics
- ChannelAugment: Improving generalization of multi-channel ASR by training with input channel randomization
- Individual and Collective Autonomous Development
- Union and Intersection of all Justifications
- Towards Fine-grained 3D Face Dense Registration: An Optimal Dividing and Diffusing Method
- Multi-view Contrastive Self-Supervised Learning of Accounting Data Representations for Downstream Audit Tasks
- Secure PAC Bayesian Regression via Real Shamir Secret Sharing
- Dependency Structure for News Document Summarization
- Fast and Efficient MMD-based Fair PCA via Optimization over Stiefel Manifold
- Predicting the Timing of Camera Movements From the Kinematics of Instruments in Robotic-Assisted Surgery Using Artificial Neural Networks
- Hierarchies of Planning and Reinforcement Learning for Robot Navigation
- Exploiting Curriculum Learning in Unsupervised Neural Machine Translation
- Clustering performance analysis using a new correlation-based cluster validity index
- Zero-Shot Information Extraction as a Unified Text-to-Triple Translation
- Toward a Unified Framework for Debugging Concept-based Models
- OH-Former: Omni-Relational High-Order Transformer for Person Re-Identification
- Rank Overspecified Robust Matrix Recovery: Subgradient Method and Exact Recovery
- Joint speaker diarisation and tracking in switching state-space model
- Memory-Efficient Convex Optimization for Self-Dictionary Separable Nonnegative Matrix Factorization: A Frank-Wolfe Approach
- Cross-Lingual Language Model Meta-Pretraining
- A Framework for Cluster and Classifier Evaluation in the Absence of Reference Labels
- Adversarial Transfer Attacks With Unknown Data and Class Overlap
- Rational Polynomial Camera Model Warping for Deep Learning Based Satellite Multi-View Stereo Matching
- Distiller: A Systematic Study of Model Distillation Methods in Natural Language Processing
- Unseen Object Amodal Instance Segmentation via Hierarchical Occlusion Modeling
- PredictionNet: Real-Time Joint Probabilistic Traffic Prediction for Planning, Control, and Simulation
- BiRdQA: A Bilingual Dataset for Question Answering on Tricky Riddles
- Scenario Aware Speech Recognition: Advancements for Apollo Fearless Steps & CHiME-4 Corpora
- Towards Universal Dense Retrieval for Open-domain Question Answering