Papers
Sun 26 Sep 2021
79 papers
- MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement LearningWorld models → World models for autonomous driving +1
- Improving Question Answering Performance Using Knowledge Distillation and Active LearningKnowledge distillation → Knowledge distillation for LLMs
- Prioritized Experience-based Reinforcement Learning with Human Guidance for Autonomous DrivingEnd-to-end autonomous driving → Reinforcement learning for driving
- Partial to Whole Knowledge Distillation: Progressive Distilling Decomposed Knowledge Boosts Student BetterKnowledge distillation → General knowledge distillation methods
- Excavating the Potential Capacity of Self-Supervised Monocular Depth EstimationKnowledge distillation → Detection and dense prediction distillation
- Fully Spiking Variational Autoencoder
- Feature-Rich Named Entity Recognition for Bulgarian Using Conditional Random Fields
- SUper Team at SemEval-2016 Task 3: Building a feature-rich system for community question answering
- One-shot Key Information Extraction from Document with Deep Partial Graph Matching
- ViT Cane: Visual Assistant for the Visually Impaired
- An Efficient Epileptic Seizure Detection Technique using Discrete Wavelet Transform and Machine Learning Classifiers
- Exposing Paid Opinion Manipulation Trolls
- Research on facial expression recognition based on Multimodal data fusion and neural network
- Markerless Suture Needle 6D Pose Tracking with Robust Uncertainty Estimation for Autonomous Minimally Invasive Robotic Surgery
- On the Feasibility of Learning Finger-gaiting In-hand Manipulation with Intrinsic Sensing
- Cluster Analysis with Deep Embeddings and Contrastive Learning
- Provable Low Rank Plus Sparse Matrix Separation Via Nonconvex Regularizers
- Automated Multi-Process CTC Detection using Deep Learning
- Extracting and Inferring Personal Attributes from Dialogue
- Sparse Plus Low Rank Matrix Decomposition: A Discrete Optimization Approach
- PM-FSM: Policies Modulating Finite State Machine for Robust Quadrupedal Locomotion
- Applying supervised and reinforcement learning methods to create neural-network-based agents for playing StarCraft II
- Soundata: A Python library for reproducible use of audio datasets
- Nesterov Accelerated ADMM for Fast Diffeomorphic Image Registration
- Efficient Non-linear Calculators
- On the Prunability of Attention Heads in Multilingual BERT
- Be More Active! Understanding the Differences between Mean and Sampled Representations of Variational Autoencoders
- QA-Align: Representing Cross-Text Content Overlap by Aligning Question-Answer Propositions
- Why Do We Click: Visual Impression-aware News Recommendation
- An Analysis of Euclidean vs. Graph-Based Framing for Bilingual Lexicon Induction from Word Embedding Spaces
- Hybrid Quantum Classical Graph Neural Networks for Particle Track Reconstruction
- A Novel Hybrid Convolutional Neural Network for Accurate Organ Segmentation in 3D Head and Neck CT Images
- Decision Making For Celebrity Branding: An Opinion Mining Approach Based On Polarity And Sentiment Analysis Using Twitter Consumer-Generated Content (CGC)
- Group Shift Pointwise Convolution for Volumetric Medical Image Segmentation
- Logo Generation Using Regional Features: A Faster R-CNN Approach to Generative Adversarial Networks
- A Clustering and Demotion Based Algorithm for Inductive Learning of Default Theories
- Using Soft Labels to Model Uncertainty in Medical Image Segmentation
- Multi-Transformer: A New Neural Network-Based Architecture for Forecasting S&P Volatility
- Structure-aware scale-adaptive networks for cancer segmentation in whole-slide images
- SimpleX: A Simple and Strong Baseline for Collaborative Filtering
- Autoregressive neural-network wavefunctions for ab initio quantum chemistry
- DialogueCSE: Dialogue-based Contrastive Learning of Sentence Embeddings
- MultiDoc2Dial: Modeling Dialogues Grounded in Multiple Documents
- Curb Your Carbon Emissions: Benchmarking Carbon Emissions in Machine Translation
- A Stacking Ensemble Approach for Supervised Video Summarization
- Paradigm Shift in Natural Language Processing
- XLM-K: Improving Cross-Lingual Language Model Pre-training with Multilingual Knowledge
- Vision Transformer Hashing for Image Retrieval
- Deep Reinforcement Learning for Wireless Scheduling in Distributed Networked Control
- Neural Augmentation of Kalman Filter with Hypernetwork for Channel Tracking
- Frequency Disentangled Residual Network
- MixNN: Protection of Federated Learning Against Inference Attacks by Mixing Neural Network Layers
- Disentangled Feature Representation for Few-shot Image Classification
- Synthetic Data Generation for Fraud Detection using GANs
- DAMix: A Density-Aware Mixup Augmentation for Single Image Dehazing under Domain Shift
- Dynamic Sequential Graph Learning for Click-Through Rate Prediction
- Data Summarization via Bilevel Optimization
- BioCopy: A Plug-And-Play Span Copy Mechanism in Seq2Seq Models
- Structure-Preserving Image Super-Resolution
- A Study of Fake News Reading and Annotating in Social Media Context
- Entity Linking Meets Deep Learning: Techniques and Solutions
- AsySQN: Faster Vertical Federated Learning Algorithms with Better Computation Resource Utilization
- Dynamic Adaptive Spatio-temporal Graph Convolution for fMRI Modelling
- Generalized multiscale feature extraction for remaining useful life prediction of bearings with generative adversarial networks
- Deep Exploration for Recommendation Systems
- LINDA: Multi-Agent Local Information Decomposition for Awareness of Teammates
- A Simple Self-calibration Method for The Internal Time Synchronization of MEMS LiDAR
- AdaInject: Injection Based Adaptive Gradient Descent Optimizers for Convolutional Neural Networks
- Self-Supervised Learning for MRI Reconstruction with a Parallel Network Training Framework
- Electoral Programs of German Parties 2021: A Computational Analysis Of Their Comprehensibility and Likeability Based On SentiArt
- PETA: Photo Albums Event Recognition using Transformers Attention
- Short-Term Load Forecasting Using Time Pooling Deep Recurrent Neural Network
- Unbiased Single-scale and Multi-scale Quantizers for Distributed Optimization
- Self-Supervised Video Representation Learning by Video Incoherence Detection
- ISF-GAN: An Implicit Style Function for High-Resolution Image-to-Image Translation
- Parallel Refinements for Lexically Constrained Text Generation with BART
- Physics-informed Convolutional Neural Networks for Temperature Field Prediction of Heat Source Layout without Labeled Data
- Explainability Pitfalls: Beyond Dark Patterns in Explainable AI
- EllipseNet: Anchor-Free Ellipse Detection for Automatic Cardiac Biometrics in Fetal Echocardiography