Papers
Sat 27 Mar 2021
72 papers
- Graph UnlearningLLM safety and security → Graph unlearning
- KnowRU: Knowledge Reusing via Knowledge Distillation in Multi-agent Reinforcement LearningKnowledge distillation → On-policy and self-distillation for LLMs
- Co-Imitation Learning without Expert DemonstrationOffline RL and imitation learning from data → Imitation learning methods
- Machine Learning Meets Natural Language Processing -- The story so far
- Transient Information Adaptation of Artificial Intelligence: Towards Sustainable Data Processes in Complex Projects
- H-GAN: the power of GANs in your Hands
- On the Stability of Nonlinear Receding Horizon Control: A Geometric Perspective
- eXtended Artificial Intelligence: New Prospects of Human-AI Interaction Research
- Tensor Networks for Multi-Modal Non-Euclidean Data
- Thermal transmittance prediction based on the application of artificial neural networks on heat flux method results
- Generating Negations of Probability Distributions
- Realistic face animation generation from videos
- Going Deeper Into Face Detection: A Survey
- On the benefits of robust models in modulation recognition
- Automatic differentiation for Riemannian optimization on low-rank matrix and tensor-train manifolds
- Explaining the Road Not Taken
- HateBR: A Large Expert Annotated Corpus of Brazilian Instagram Comments for Offensive Language and Hate Speech Detection
- Catalyzing Clinical Diagnostic Pipelines Through Volumetric Medical Image Segmentation Using Deep Neural Networks: Past, Present, & Future
- Labels4Free: Unsupervised Segmentation using StyleGAN
- Transmitter Discovery through Radio-Visual Probabilistic Active Sensing
- Particle Filter Bridge Interpolation
- Panoptic-PolarNet: Proposal-free LiDAR Point Cloud Panoptic Segmentation
- Supersense and Sensibility: Proxy Tasks for Semantic Annotation of Prepositions
- Self-supervised Graph Neural Networks without explicit negative sampling
- Improving prostate whole gland segmentation in t2-weighted MRI with synthetically generated data
- OLED: One-Class Learned Encoder-Decoder Network with Adversarial Context Masking for Novelty Detection
- The AI Settlement Generation Challenge in Minecraft: First Year Report
- Automated Backend-Aware Post-Training Quantization
- HDR Video Reconstruction: A Coarse-to-fine Network and A Real-world Benchmark Dataset
- IoU Attack: Towards Temporally Coherent Black-Box Adversarial Attack for Visual Object Tracking
- Hyperbolic Geometry is Not Necessary: Lightweight Euclidean-Based Models for Low-Dimensional Knowledge Graph Embeddings
- You Can Do Better! If You Elaborate the Reason When Making Prediction
- Abuse is Contextual, What about NLP? The Role of Context in Abusive Language Annotation and Detection
- MINE: Towards Continuous Depth MPI with NeRF for Novel View Synthesis
- Embedding Transfer with Label Relaxation for Improved Metric Learning
- Frequency-specific segregation and integration of human cerebral cortex: an intrinsic functional atlas
- CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classification
- SceneGraphFusion: Incremental 3D Scene Graph Prediction from RGB-D Sequences
- Representation, Analysis of Bayesian Refinement Approximation Network: A Survey
- Feature-based Representation for Violin Bridge Admittances
- Self-adaptive Torque Vectoring Controller Using Reinforcement Learning
- An Efficiently Coupled Shape and Appearance Prior for Active Contour Segmentation
- Generalization over different cellular automata rules learned by a deep feed-forward neural network
- Continuous Conditional Generative Adversarial Networks (cGAN) with Generator Regularization
- COVID-19 personal protective equipment detection using real-time deep learning methods
- Few-shot Semantic Image Synthesis Using StyleGAN Prior
- Human-in-the-loop Handling of Knowledge Drift
- Deep Learning Techniques for In-Crop Weed Identification: A Review
- Instance segmentation with the number of clusters incorporated in embedding learning
- A nonlinear diffusion method for semi-supervised learning on hypergraphs
- TS-CAM: Token Semantic Coupled Attention Map for Weakly Supervised Object Localization
- Video Rescaling Networks with Joint Optimization Strategies for Downscaling and Upscaling
- Towards Tool-Support for Interactive-Machine Learning Applications in the Android Ecosystem
- AR Mapping: Accurate and Efficient Mapping for Augmented Reality
- Deep Ensemble Collaborative Learning by using Knowledge-transfer Graph for Fine-grained Object Classification
- From Synthetic to Real: Unsupervised Domain Adaptation for Animal Pose Estimation
- LiBRe: A Practical Bayesian Approach to Adversarial Detection
- Looking Beyond Two Frames: End-to-End Multi-Object Tracking Using Spatial and Temporal Transformers
- Improving Model Robustness by Adaptively Correcting Perturbation Levels with Active Queries
- SelfGait: A Spatiotemporal Representation Learning Method for Self-supervised Gait Recognition
- An Introduction to Robust Graph Convolutional Networks
- LSTM Based Sentiment Analysis for Cryptocurrency Prediction
- Face Transformer for Recognition
- A Survey of Orthogonal Moments for Image Representation: Theory, Implementation, and Evaluation
- Unsupervised Self-Training for Sentiment Analysis of Code-Switched Data
- Ensemble-in-One: Learning Ensemble within Random Gated Networks for Enhanced Adversarial Robustness
- Learning Efficient Photometric Feature Transform for Multi-view Stereo
- CalibDNN: Multimodal Sensor Calibration for Perception Using Deep Neural Networks
- A Comprehensive Review of the Video-to-Text Problem
- Learning to Solve the AC-OPF using Sensitivity-Informed Deep Neural Networks
- Scalable and Efficient Neural Speech Coding: A Hybrid Design
- Local Explanations via Necessity and Sufficiency: Unifying Theory and Practice