Papers
Wed 11 Aug 2021
125 papers
- Preventing Catastrophic Forgetting and Distribution Mismatch in Knowledge Distillation via Synthetic DataKnowledge distillation → General knowledge distillation methods
- Skill Preferences: Learning to Extract and Execute Robotic Skills from Human FeedbackLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- DQ-GAT: Towards Safe and Efficient Autonomous Driving with Deep Q-Learning and Graph Attention NetworksEnd-to-end autonomous driving → Reinforcement learning for driving
- Tracking Hand Hygiene Gestures with Leap Motion Controller
- E-Commerce Promotions Personalization via Online Multiple-Choice Knapsack with Uplift Modeling
- Ensuring the Inclusive Use of Natural Language Processing in the Global Response to COVID-19
- Effective and Privacy preserving Tabular Data Synthesizing
- IT2CFNN: An Interval Type-2 Correlation-Aware Fuzzy Neural Network to Construct Non-Separable Fuzzy Rules with Uncertain and Adaptive Shapes for Nonlinear Function Approximation
- Fast predictions of lattice energies by continuous isometry invariants of crystal structures
- Approximation and generalization properties of the random projection classification method
- Beyond Fairness Metrics: Roadblocks and Challenges for Ethical AI in Practice
- An Approach to Partial Observability in Games: Learning to Both Act and Observe
- Local Correlation Clustering with Asymmetric Classification Errors
- Correlation Clustering with Asymmetric Classification Errors
- SIDER: Single-Image Neural Optimization for Facial Geometric Detail Recovery
- Low-level Pose Control of Tilting Multirotor for Wall Perching Tasks Using Reinforcement Learning
- Extracting Semantics from Maintenance Records
- Learning Bias-Invariant Representation by Cross-Sample Mutual Information Minimization
- Gap-Dependent Unsupervised Exploration for Reinforcement Learning
- Friddy multiagent price stabilization model
- Learning to Hash Robustly, Guaranteed
- Determining ActionReversibility in STRIPS Using Answer Set and Epistemic Logic Programming
- Deep PET/CT fusion with Dempster-Shafer theory for lymphoma segmentation
- Seismic wave propagation and inversion with Neural Operators
- NoFake at CheckThat! 2021: Fake News Detection Using BERT
- Analyzing Race and Country of Citizenship Bias in Wikidata
- User-friendly Comparison of Similarity Algorithms on Wikidata
- Composition Machines: Programming Self-Organising Software Models for the Emergence of Sequential Program Spaces
- Ontology drift is a challenge for explainable data governance
- Seven challenges for harmonizing explainability requirements
- Voxel-level Importance Maps for Interpretable Brain Age Estimation
- The Pitfalls of Sample Selection: A Case Study on Lung Nodule Classification
- Physics-Coupled Spatio-Temporal Active Learning for Dynamical Systems
- Controlling the False Split Rate in Tree-Based Aggregation
- Large-Scale Modeling of Mobile User Click Behaviors Using Deep Learning
- The Forgotten Role of Search Queries in IR-based Bug Localization: An Empirical Study
- Person Re-identification via Attention Pyramid
- Truncated Emphatic Temporal Difference Methods for Prediction and Control
- Explaining Algorithmic Fairness Through Fairness-Aware Causal Path Decomposition
- Two is a crowd: tracking relations in videos
- Machine Learning Model Drift Detection Via Weak Data Slices
- Fairness Through Counterfactual Utilities
- Towards Interpretable Deep Networks for Monocular Depth Estimation
- A Better Loss for Visual-Textual Grounding
- Video Transformer for Deepfake Detection with Incremental Learning
- ConvNets vs. Transformers: Whose Visual Representations are More Transferable?
- Mutual Affine Network for Spatially Variant Kernel Estimation in Blind Image Super-Resolution
- Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling
- Few-Shot Segmentation with Global and Local Contrastive Learning
- Icelandic Parallel Abstracts Corpus
- Putting RDF2vec in Order
- Are Negative Samples Necessary in Entity Alignment? An Approach with High Performance, Scalability and Robustness
- Trading Complexity for Sparsity in Random Forest Explanations
- Instance-weighted Central Similarity for Multi-label Image Retrieval
- DeliData: A dataset for deliberation in multi-party problem solving
- Learning to Rearrange Voxels in Binary Segmentation Masks for Smooth Manifold Triangulation
- On the Explanatory Power of Decision Trees
- Deep Learning Classification of Lake Zooplankton
- Improving Single-Image Defocus Deblurring: How Dual-Pixel Images Help Through Multi-Task Learning
- Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in Adverse Weather
- A Real-Time Online Learning Framework for Joint 3D Reconstruction and Semantic Segmentation of Indoor Scenes
- Convergence bounds for nonlinear least squares and applications to tensor recovery
- EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks
- Approximating Defeasible Logics to Improve Scalability
- Natural Language-Guided Programming
- Towards data-driven filters in Paraview
- Discriminative Distillation to Reduce Class Confusion in Continual Learning
- Empirical Risk Minimization for Time Series: Nonparametric Performance Bounds for Prediction
- ProAI: An Efficient Embedded AI Hardware for Automotive Applications -- a Benchmark Study
- Stable Marriage Problems with Ties and Incomplete Preferences: An Empirical Comparison of ASP, SAT, ILP, CP, and Local Search Methods
- Efficient Surfel Fusion Using Normalised Information Distance
- Mounting Video Metadata on Transformer-based Language Model for Open-ended Video Question Answering
- Estimation of Fair Ranking Metrics with Incomplete Judgments
- Logic Explained Networks
- Prioritized SIPP for Multi-Agent Path Finding With Kinematic Constraints
- Zero-Shot Day-Night Domain Adaptation with a Physics Prior
- Snakes AI Competition 2020 and 2021 Report
- Overview of the TREC 2020 Fair Ranking Track
- M3D-VTON: A Monocular-to-3D Virtual Try-On Network
- ICAF: Iterative Contrastive Alignment Framework for Multimodal Abstractive Summarization
- Capture Uncertainties in Deep Neural Networks for Safe Operation of Autonomous Driving Vehicles
- Towards Practical Learned Indexing
- Does Explicit Prediction Matter in Deep Reinforcement Learning-Based Energy Management?
- Position-based Contributive Embeddings for Aspect-Based Sentiment Analysis
- Representation Learning for Remote Sensing: An Unsupervised Sensor Fusion Approach
- Cooperative Learning for Noisy Supervision
- Automatic Polyp Segmentation via Multi-scale Subtraction Network
- Cervical Optical Coherence Tomography Image Classification Based on Contrastive Self-Supervised Texture Learning
- FakeAVCeleb: A Novel Audio-Video Multimodal Deepfake Dataset
- Unsupervised Driver Behavior Profiling leveraging Recurrent Neural Networks
- Mining the Benefits of Two-stage and One-stage HOI Detection
- Multi-Source Fusion and Automatic Predictor Selection for Zero-Shot Video Object Segmentation
- Jujutsu: A Two-stage Defense against Adversarial Patch Attacks on Deep Neural Networks
- ULTRA: An Unbiased Learning To Rank Algorithm Toolbox
- Medical-VLBERT: Medical Visual Language BERT for COVID-19 CT Report Generation With Alternate Learning
- Variable-Length Music Score Infilling via XLNet and Musically Specialized Positional Encoding
- NI-UDA: Graph Adversarial Domain Adaptation from Non-shared-and-Imbalanced Big Data to Small Imbalanced Applications
- MultiTask-CenterNet (MCN): Efficient and Diverse Multitask Learning using an Anchor Free Approach
- Towards Top-Down Just Noticeable Difference Estimation of Natural Images
- Statistical Dependency Guided Contrastive Learning for Multiple Labeling in Prenatal Ultrasound
All 125
- Rethinking Coarse-to-Fine Approach in Single Image Deblurring
- Managing ML Pipelines: Feature Stores and the Coming Wave of Embedding Ecosystems
- Semi-Supervised Domain Generalizable Person Re-Identification
- Predicting Molecular Phenotypes with Single Cell RNA Sequencing Data: an Assessment of Unsupervised Machine Learning Models
- Parallel algorithms for mining of frequent itemsets
- DEMix Layers: Disentangling Domains for Modular Language Modeling
- Learning Action Completeness from Points for Weakly-supervised Temporal Action Localization
- Boosting the Generalization Capability in Cross-Domain Few-shot Learning via Noise-enhanced Supervised Autoencoder
- Learning Oculomotor Behaviors from Scanpath
- Learning strange attractors with reservoir systems
- One-Sided Box Filter for Edge Preserving Image Smoothing
- Frequency-based tension assessment of an inclined cable with complex boundary conditions using the PSO algorithm
- VisEvent: Reliable Object Tracking via Collaboration of Frame and Event Flows
- Elastic Tactile Simulation Towards Tactile-Visual Perception
- Prototype Completion for Few-Shot Learning
- Learning Deep Multimodal Feature Representation with Asymmetric Multi-layer Fusion
- Robust Feature Learning on Long-Duration Sounds for Acoustic Scene Classification
- A Transformer-based Math Language Model for Handwritten Math Expression Recognition
- LightMove: A Lightweight Next-POI Recommendation for Taxicab Rooftop Advertising
- Perturbing Inputs for Fragile Interpretations in Deep Natural Language Processing
- Learning Fair Face Representation With Progressive Cross Transformer
- Simple black-box universal adversarial attacks on medical image classification based on deep neural networks
- Deep Pairwise Learning To Rank For Search Autocomplete
- SoK: How Robust is Image Classification Deep Neural Network Watermarking? (Extended Version)
- Creutzfeldt-Jakob Disease Prediction Using Machine Learning Techniques