Models Are Zero-Shot Learners 3. ConvMLP: Hierarchical Convolutional MLPs for Vision 4. Panoptic SegFormer 5. An End-to-End Transformer Model for 3D Object Detection 6. Datasets: A Community Library for Natural Language Processing 7. Primer: Searching for Efficient Transformers for Language Modeling 8. Scaled ReLU Matters for Training Vision Transformers 9. An Empirical Study of Graph Contrastive Learning 10. Physics-based Deep Learning
Models Are Zero-Shot Learners 3. ConvMLP: Hierarchical Convolutional MLPs for Vision 4. Panoptic SegFormer 5. An End-to-End Transformer Model for 3D Object Detection 6. Datasets: A Community Library for Natural Language Processing 7. Primer: Searching for Efficient Transformers for Language Modeling 8. Scaled ReLU Matters for Training Vision Transformers 9. An Empirical Study of Graph Contrastive Learning 10. Physics-based Deep Learning
GAN-generated Faces 2. Datasets: A Community Library for Natural Language Processing 3. Isaac Gym: High Performance GPU-Based Physics Simulation For Robot Learning 4. Primer: Searching for Efficient Transformers for Language Modeling 5. The Values Encoded in Machine Learning Research 6. Finetuned Language Models Are Zero-Shot Learners 7. Multiplying Matrices Without Multiplying 8. Diverse Generation from a Single Video Made Possible 9. Relating Graph Neural Networks to Structural Causal Models 10. ConvMLP: Hierarchical Convolutional MLPs for Vision
Models Are Zero-Shot Learners 3. ConvMLP: Hierarchical Convolutional MLPs for Vision ← ピックアップ 4. Panoptic SegFormer 5. An End-to-End Transformer Model for 3D Object Detection 6. Datasets: A Community Library for Natural Language Processing 7. Primer: Searching for Efficient Transformers for Language Modeling 8. Scaled ReLU Matters for Training Vision Transformers 9. An Empirical Study of Graph Contrastive Learning 10. Physics-based Deep Learning