[ICDM 21] AS-GCN : Adoptive Semantic Architecture of Graph Convolutional Networks for Text-Rich Networks
[KDD 19] Deep Anomaly Detection with Deviation Network
[NeurIPS 19] Latent ODEs for Irregularly-Sampled Time Series
[NeurIPS 20] Graph Meta Learning via Local Subgraphs
[ICCV 21] Graph-Based 3D Multi-Person Pose Estimation Using Multi-View Images
[CHI 21] FaceSight; Enabling Hand-to-Face Gesture Interaction on AR Glasses with a Downward-Facing Camera Vision
[WACV 22] Boosting Contrastive Self-Supervised Learning with False Negative Cancellation
[ICDM 20] CITIES - Contextual Inference of Tail-item Embeddings for Sequential Recommendation
[ICML 20] Deep Reinforcement Learning amidst Lifelong Non-Stationarity
[KDD 21] Unsupervised Detection of Adversarial Examples with Model Explanations
[ICLR 22] When Vision Transformer Outperform ResNet Without Pre-Training Or Strong Data Augmentation
[ICLR 22] Finetuning Language Models are Zero-shot Learners
[CVPR 21] Sequential Graph Convolutional Network for Active Learning
[ICLR 18] Deep Neural Networks as Gaussian Processes
[CVPR 18] Deep Depth Completion of a Single RGB-D Image
[WWW 22] Modeling User Behavior with Graph Convolution for Personalized Product Search
[ICLR 21] Self-Supervised Learning from a Multi-View Perspective
[AAAI 21] Towards Effective Context for Meta-Reinforcement Learning- an Approach based on Contrastive Learning
[ICCV 21] Interpretable Image Recognition by Constructing Transparent Embedding Space
[NeurIPS 21] Meta-learning Sparse Implicit Neural Representations
[ECCV 18] Choose Your Neuron- Incorporating Domain Knowledge through Neuron-Importance
[ICML 21] GRAND_Graph Neural Diffusion
[AAAI 20] Graph Neural Ordinary Differential Equations
[NeurIPS 20] Emergent Complextity and Zero-shot Transfer via Unsupervised Environment Design
[NeurIPS 21] Fast Axiomatic Attributions for Neural Networks
[ICLR 21] COIN- COmpression with Implicit Neural Networks
[NeurIPS 21] Edge Representation Learning with Hypergraphs
[ICML 21] E(n) Equivariant Graph Neural Networks
[AAAI 21] Data Augmentation for Graph Neural Networks
[NeurIPS 21] Learning Large Neighborhood Search Policy for Integer Programming
[ICLR 21] WHAT SHOULD NOT BE CONTRAST IN CONTRASTIVE LEARNING
[ICLR 22] Equivariant Subgraph Aggregation Networks
[NeurIPS 20] Not all unlabeled data are euqal - Learning to weight data in semi-superviwd learning
[ICML 21] Slot Machines- Discovering Winning Combinations of Random Weights in Neural Networks
[ICML 20] Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders
[NeurIPS 19] Varitional Graph Recurrent Neural Network
[ICML 19] Position-aware Graph Neural Networks
[CVPR 19] One-class Novelty Detection Using GANs with Constrained Latent Representations
[CVPR 21] Points as Queries- Weakly Semi-supervised Object Detection by Points
[ICLR 22] Continuously Discovering Novel Strategies via Reward-Switching Policy Optimization
[ICDE 20] Price-aware Recommendation with Graph Convolutional Networks
[CVPR 21] Dual-stream Multiple Instance Learning Network for Whole Slide Image Classification with Self-supervised Contrastive Learning
[ICLR 22] How attentive are graph neural network?
[AAAI 21] Overcoming Catastrophic Forgetting in Graph Neural Networks with Experience Replay
[ICML 19] How does Disagreement Help Generalization against Label Corruption?
[WSDM 20] Transferring Robustness for Graph Neural Network Against Poisoning Attacks
[ICLR 22] PF-GNN- Differentiable particle filtering based approximation of universal graph representations
[RecSys 20] Long-tail Session-based Recommendation
[ICLR 22] Handling Distribution Shifts on Graphs_An Invariance Perspective
[NeurIPS 21] A 3D Molecule Generative Model for Structure-Based Drug Design
[WWW 20] Structural Deep Clustering Network
[NeurIPS 21] Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization
[NeurIPS 21] Pay Attention to MLPs
[NeurIPS 21] Are Transformers More Robust Than CNNs?
[ICLR 20] AugMix - A Simple Data Processing Method to Improve Robustness and Uncertainty
[AAAI 20] Multi-Range Attentive Bicomponent Graph Convolutional Network for Traffic Forecasting
[ICLR 21] Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels
[DCC 22] Neural JPEG- End-to-End Image Compression Leveraging a Standard JPEG Encoder-Decoder
[NeurIPS 21] Conformal Time-Series Forecasting
[CHI 19] Continuous Alertness Assessments; Using EOG Glasses to Unobtrusively Monitor Fatigue Levels In-The-Wild
[AAAI 21] Overcoming Catastrophic Forgetting in Graph Neural Networks
[ICML 20] Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning
[CVPR 22] When Does Contrastive Visual Representation Learning Work?
[AAAI 20] Measuring and Relieving the Over-smoothing Problem for Graph Neural Networks from the Topological View
[AAAI 22] MAPDP- Cooperative Multi-Agent Reinforcement Learning to Solve Pickup and Delivery Problems
[ICLR 20] Mixup Inference Better Exploiting Mixup to Defend Adversarial Attacks
[ICLR 22] Learning the Dynamics of Physical Systems from Sparse Observations with Finite Element Networks
[CVPR 22] Stacked Hybrid-Attention and Group Collaborative Learning for Unbiased Scene Graph Generation
[NeurIPS 20] EvloveGraph- Multi-Agent Trajectory Prediction with Dynamic Relational Reasoning
[CVPR 21] CausalVAE: Disentangled Representation Learning via Neural Structural Causal Models
[CoRL 21] Motivating Physical Activity via Competitive Human-Robot Interaction
[ICLR 22] Spanning Tree-based Graph Generation for Molecules
Last updated 2 years ago