Adams Wei Yu
Publications by Year
Research Areas
Topic Modeling, Sparse and Compressive Sensing Techniques, Multimodal Machine Learning Applications, Natural Language Processing Techniques, Stochastic Gradient Optimization Techniques
Most-Cited Works
- → DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection(2022)493 cited
- → QANet: Combining Local Convolution with Global Self-Attention for\n Reading Comprehension(2018)440 cited
- → SimVLM: Simple Visual Language Model Pretraining with Weak Supervision(2021)342 cited
- → GLaM: Efficient Scaling of Language Models with Mixture-of-Experts(2021)168 cited
- → Orthogonal Weight Normalization: Solution to Optimization Over Multiple Dependent Stiefel Manifolds in Deep Neural Networks(2018)132 cited
- Neural Symbolic Reader: Scalable Integration of Distributed and Symbolic Representations for Reading Comprehension(2020)
- → Finetuned Language Models Are Zero-Shot Learners(2021)69 cited
- → Combined scaling for zero-shot transfer learning(2023)66 cited