Papers
Mon 30 Aug 2021
120 papers
- Seminar Learning for Click-Level Weakly Supervised Semantic SegmentationKnowledge distillation → Detection and dense prediction distillation
- FedKD: Communication Efficient Federated Learning via Knowledge DistillationKnowledge distillation → Federated, robust and private distillation
- Hallucinated but Factual! Inspecting the Factuality of Hallucinations in Abstractive Summarization
- A Robust Cybersecurity Topic Classification Tool
- Speaker-Conditioned Hierarchical Modeling for Automated Speech Scoring
- The University of California San Francisco Preoperative Diffuse Glioma MRI (UCSF-PDGM) Dataset
- Explainable AI for Engineering Design: A Unified Approach of Systems Engineering and Component- Based Deep Learning Demonstrated by Energy- Efficient Building Design
- Sample Efficient Detection and Classification of Adversarial Attacks via Self-Supervised Embeddings
- Linguistic Characterization of Divisive Topics Online: Case Studies on Contentiousness in Abortion, Climate Change, and Gun Control
- Adaptive Label Smoothing To Regularize Large-Scale Graph Training
- Towards Consistent Document-level Entity Linking: Joint Models for Entity Linking and Coreference Resolution
- Identifying optimal cycles in quantum thermal machines with reinforcement-learning
- ConVIScope: Visual Analytics for Exploring Patient Conversations
- An FEA surrogate model with Boundary Oriented Graph Embedding approach
- Scene Synthesis via Uncertainty-Driven Attribute Synchronization
- Semi-Supervised Exaggeration Detection of Health Science Press Releases
- Want To Reduce Labeling Cost? GPT-3 Can Help
- Full-Cycle Energy Consumption Benchmark for Low-Carbon Computer Vision
- Time Series Prediction using Deep Learning Methods in Healthcare
- The Application of Convolutional Neural Networks for Tomographic Reconstruction of Hyperspectral Images
- Improving Query Representations for Dense Retrieval with Pseudo Relevance Feedback
- Machine Learning Methods for Management UAV Flocks -- a Survey
- Benchmarking the Accuracy and Robustness of Feedback Alignment Algorithms
- Recent advances for quantum classifiers
- View Synthesis of Dynamic Scenes based on Deep 3D Mask Volume
- Noisy Labels for Weakly Supervised Gamma Hadron Classification
- Ovarian Cancer Prediction from Ovarian Cysts Based on TVUS Using Machine Learning Algorithms
- Exploring Multi-Tasking Learning in Document Attribute Classification
- Trustworthy AI for Process Automation on a Chylla-Haase Polymerization Reactor
- ML-based IoT Malware Detection Under Adversarial Settings: A Systematic Evaluation
- Robust Interactive Semantic Segmentation of Pathology Images with Minimal User Input
- Survival Prediction of Heart Failure Patients using Stacked Ensemble Machine Learning Algorithm
- On the Multilingual Capabilities of Very Large-Scale English Language Models
- Enlisting 3D Crop Models and GANs for More Data Efficient and Generalizable Fruit Detection
- A Mathematical Walkthrough and Discussion of the Free Energy Principle
- DNNFusion: Accelerating Deep Neural Networks Execution with Advanced Operator Fusion
- Hire-MLP: Vision MLP via Hierarchical Rearrangement
- Multiple imputation and test-wise deletion for causal discovery with incomplete cohort data
- On the effects of biased quantum random numbers on the initialization of artificial neural networks
- N24News: A New Dataset for Multimodal News Classification
- Neural HMMs are all you need (for high-quality attention-free TTS)
- Multi-Agent Simulation for AI Behaviour Discovery in Operations Research
- The missing link: Developing a safety case for perception components in automated driving
- StackGAN: Facial Image Generation Optimizations
- The effects of data size on Automated Essay Scoring engines
- Predicting Road Flooding Risk with Machine Learning Approaches Using Crowdsourced Reports and Fine-grained Traffic Data
- Deep Reinforcement Learning at the Edge of the Statistical Precipice
- Equine Pain Behavior Classification via Self-Supervised Disentangled Pose Representation
- LUAI Challenge 2021 on Learning to Understand Aerial Images
- Adaptive perturbation adversarial training: based on reinforcement learning
- Whole Brain Vessel Graphs: A Dataset and Benchmark for Graph Learning and Neuroscience (VesselGraph)
- AEDA: An Easier Data Augmentation Technique for Text Classification
- Representation of binary classification trees with binary features by quantum circuits
- Reachability Is NP-Complete Even for the Simplest Neural Networks
- Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners
- LIGAR: Lightweight General-purpose Action Recognition
- Robust Privacy-Preserving Motion Detection and Object Tracking in Encrypted Streaming Video
- DuTrust: A Sentiment Analysis Dataset for Trustworthiness Evaluation
- CSDS: A Fine-Grained Chinese Dataset for Customer Service Dialogue Summarization
- Neuron-level Interpretation of Deep NLP Models: A Survey
- Multiscale modeling of inelastic materials with Thermodynamics-based Artificial Neural Networks (TANN)
- Factual Consistency Evaluation for Text Summarization via Counterfactual Estimation
- From General to Specific: Informative Scene Graph Generation via Balance Adjustment
- Tune It or Don't Use It: Benchmarking Data-Efficient Image Classification
- Automatic Preprocessing and Ensemble Learning for Low Quality Cell Image Segmentation
- NEREL: A Russian Dataset with Nested Named Entities, Relations and Events
- Densely Semantic Enhancement for Domain Adaptive Region-free Detectors
- Open Set RF Fingerprinting using Generative Outlier Augmentation
- Object-aware Long-short-range Spatial Alignment for Few-Shot Fine-Grained Image Classification
- A theory of representation learning gives a deep generalisation of kernel methods
- Investigating Vulnerabilities of Deep Neural Policies
- GeoVectors: A Linked Open Corpus of OpenStreetMap Embeddings on World Scale
- An Introduction to Variational Inference
- Knowledge Base Completion Meets Transfer Learning
- To tune or not to tune? An Approach for Recommending Important Hyperparameters
- Satisfiability and Containment of Recursive SHACL
- Unsupervised Monocular Depth Perception: Focusing on Moving Objects
- Efficient Visual Recognition with Deep Neural Networks: A Survey on Recent Advances and New Directions
- Wasserstein Generative Adversarial Uncertainty Quantification in Physics-Informed Neural Networks
- Demystifying Drug Repurposing Domain Comprehension with Knowledge Graph Embedding
- Single Node Injection Attack against Graph Neural Networks
- ASR-GLUE: A New Multi-task Benchmark for ASR-Robust Natural Language Understanding
- Data-driven Small-signal Modeling for Converter-based Power Systems
- Auto-Split: A General Framework of Collaborative Edge-Cloud AI
- An Interpretable Web-based Glioblastoma Multiforme Prognosis Prediction Tool using Random Forest Model
- Integrated Decision and Control at Multi-Lane Intersections with Mixed Traffic Flow
- Aleatoric Description Logic for Probailistic Reasoning (Long Version)
- SurRoL: An Open-source Reinforcement Learning Centered and dVRK Compatible Platform for Surgical Robot Learning
- Evaluating Bayes Error Estimators on Real-World Datasets with FeeBee
- Shatter: An Efficient Transformer Encoder with Single-Headed Self-Attention and Relative Sequence Partitioning
- What You Can Learn by Staring at a Blank Wall
- Transport-based Counterfactual Models
- A Temporal Knowledge Graph Completion Method Based on Balanced Timestamp Distribution
- Exploring and Improving Mobile Level Vision Transformers
- Communication-Computation Efficient Device-Edge Co-Inference via AutoML
- X2Teeth: 3D Teeth Reconstruction from a Single Panoramic Radiograph
- Embedding Novel Views in a Single JPEG Image
- A Battle of Network Structures: An Empirical Study of CNN, Transformer, and MLP
- Pseudo-mask Matters in Weakly-supervised Semantic Segmentation
- SHIFT15M: Fashion-specific dataset for set-to-set matching with several distribution shifts
All 120
- Learning Meta Representations for Agents in Multi-Agent Reinforcement Learning
- Adversarial Stein Training for Graph Energy Models
- Private Multi-Task Learning: Formulation and Applications to Federated Learning
- Approximating Pandora's Box with Correlations
- HELMHOLTZ: A Verifier for Tezos Smart Contracts Based on Refinement Types
- Digging into Uncertainty in Self-supervised Multi-view Stereo
- Font Completion and Manipulation by Cycling Between Multi-Modality Representations
- Scheduled Sampling Based on Decoding Steps for Neural Machine Translation
- BioFors: A Large Biomedical Image Forensics Dataset
- LOT: A Story-Centric Benchmark for Evaluating Chinese Long Text Understanding and Generation
- 3DStyleNet: Creating 3D Shapes with Geometric and Texture Style Variations
- Searching for Two-Stream Models in Multivariate Space for Video Recognition
- Normalizing field flows: Solving forward and inverse stochastic differential equations using physics-informed flow models
- Unsupervised Learning of Deep Features for Music Segmentation
- Multi-Channel Transformer Transducer for Speech Recognition
- Learning to Discover Reflection Symmetry via Polar Matching Convolution
- Learning JPEG Compression Artifacts for Image Manipulation Detection and Localization
- Selective Differential Privacy for Language Modeling
- Growing Cosine Unit: A Novel Oscillatory Activation Function That Can Speedup Training and Reduce Parameters in Convolutional Neural Networks
- RetroGAN: A Cyclic Post-Specialization System for Improving Out-of-Knowledge and Rare Word Representations