- Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot Learning: https://arxiv.org/pdf/2201.05151.pdf
- A unified software/hardware scalable architecture for brain-inspired computing based on self-organizing neural models: https://arxiv.org/pdf/2201.02262v1.pdf
- MGAE: Masked Autoencoders for Self-Supervised Learning on Graphs: https://arxiv.org/pdf/2201.02534v1.pdf
- Applications of Signature Methods to Market Anomaly Detection: https://arxiv.org/pdf/2201.02441v1.pdf
- Does entity abstraction help generative Transformers reason?: https://arxiv.org/pdf/2201.01787v1.pdf
- Debiased Learning from Naturally Imbalanced Pseudo-Labels for Zero-Shot and Semi-Supervised Learning: https://arxiv.org/pdf/2201.01490v1.pdf
- Submix: Practical Private Prediction For Large-Scale Language Models: https://arxiv.org/pdf/2201.00971v1.pdf
- KerGNNs: Interpretable Graph Neural Networks with Graph Kernels: https://arxiv.org/pdf/2201.00491v1.pdf
- Emotion Intensity and its Control for Emotional Voice Conversion: https://arxiv.org/pdf/2201.03967v1.pdf
- Multi-Robot Collaborative Perception with Graph Neural Networks: https://arxiv.org/pdf/2201.01760v1.pdf
- Robust Contrastive Learning against Noisy Views: https://arxiv.org/pdf/2201.04309v1.pdf
- A Neural Network Solves and Generates Mathematics Problems by Program Synthesis: Calculus, Differential Equations, Linear Algebra, and More: https://arxiv.org/pdf/2112.15594v2.pdf
- Topological Representations of Local Explanations: https://arxiv.org/pdf/2201.02155v1.pdf
- Automated Graph Machine Learning: Approaches, Libraries and Directions: https://arxiv.org/pdf/2201.01288v1.pdf
- Towards Similarity-Aware Time-Series Classification: https://arxiv.org/pdf/2201.01413v2.pdf
- On the Role of Neural Collapse in Transfer Learning: https://arxiv.org/pdf/2112.15121v2.pdf
- Automated Reinforcement Learning (AutoRL): A Survey and Open Problems: https://arxiv.org/pdf/2201.03916v1.pdf
- A ConvNet for the 2020s: https://arxiv.org/pdf/2201.03545v1.pdf
- Vision Transformer with Deformable Attention: https://arxiv.org/pdf/2201.00520v1.pdf
- EPNet++: Cascade Bi-directional Fusion for Multi-Modal 3D Object Detection: https://arxiv.org/pdf/2112.11088v3.pdf
- Languge-driven Semantic Segmentation: https://arxiv.org/pdf/2201.03546v1.pdf
- Model-Based Image Signal Processors via Learnable Dictionaries: https://arxiv.org/pdf/2201.03210v1.pdf
- MAXIM: Multi-Axis MLP for Image Processing: https://arxiv.org/pdf/2201.02973v1.pdf
- Learning Audio-Visual Speech Representation By Masked Multimodal Cluster Prediction: https://arxiv.org/pdf/2201.02184v1.pdf
- Matrix Decomposition and Applications: https://arxiv.org/pdf/2201.00145v1.pdf
- Pushing the limits of self-supervised ResNets: Can we outperform supervised learning without labels on ImageNet?: https://arxiv.org/pdf/2201.05119v1.pdf
- Local2Global: A distributed approach for scaling representation learning on graphs: https://arxiv.org/pdf/2201.04729v1.pdf
- Deep Symbolic Regression for Recurrent Sequences: https://arxiv.org/pdf/2201.04600v1.pdf
- Self-Supervised Feature Learning from Partial Point Clouds via Pose Disentanglement: https://arxiv.org/pdf/2201.03018v1.pdf
- Lazy Lagrangians with Predictions for Online Learning: https://arxiv.org/pdf/2201.02890v1.pdf
- Quantum Capsule Networks: https://arxiv.org/pdf/2201.01778v1.pdf
- Finding General Equilibria In Many-Agent Economic Simulations Using Deep Reinforcement Learning: https://arxiv.org/pdf/2201.01163v1.pdf
- Sound and Visual Representation Learning with Multiple Pretraining Tasks: https://arxiv.org/pdf/2201.01046v1.pdf
- Modeling Users’ Behavior Sequences with Hierarchical Explainable Network for Cross-domain Fraud Detection: https://arxiv.org/pdf/2201.01004v1.pdf
- PyramidTNT: Improved Transformer-in-Transformer Baselines with Pyramid Architecture: https://arxiv.org/pdf/2201.00978v1.pdf
- A Lightweight and Accurate Spatial-Temporal Transformer for Traffic Forecasting: https://arxiv.org/pdf/2201.00008v2.pdf
- Deep Facial Synthesis: A New Challenge: https://arxiv.org/pdf/2112.15439v2.pdf
- Ernie-Vilg: Unified Generative Pre-Training For Bidirectional Vision-Language Generation: https://arxiv.org/pdf/2112.15283v1.pdf
- Solving Dynamic Graph Problems With Multi-Attention Deep Reinforcement Learning: https://arxiv.org/pdf/2201.04895.pdf
- Multi-Scale Adaptive Graph Neural Network for Multivariate Time Series Forecasting: https://arxiv.org/pdf/2201.04828.pdf
- Forecast-based Multi-aspect Framework for Multivariate Time-series Anomaly Detection: https://arxiv.org/pdf/2201.04792.pdf
- Time Series Forecasting Using Fuzzy Cognitive Maps: A Survey: https://arxiv.org/pdf/2201.02297.pdf