Transformers

ODEFormer: Symbolic Regression of Dynamical Systems with Transformers ICLR 2024 ODIN: A Single Model for 2D and 3D Segmentation CVPR 2024 ODTrack: Online Dense Temporal Token Learning for Visual Tracking AAAI 2024 Of Models and Men: Probing Neural Networks for Agreement Attraction with Psycholinguistic Data CoNLL 2024 OLIVE: Object Level In-Context Visual Embeddings ACL 2024 OMG-Seg: Is One Model Good Enough For All Segmentation? CVPR 2024 OmniGlue: Generalizable Feature Matching with Foundation Model Guidance CVPR 2024 OmniJARVIS: Unified Vision-Language-Action Tokenization Enables Open-World Instruction Following Agents NeurIPS 2024 OmniMotionGPT: Animal Motion Generation with Limited Data CVPR 2024 Omni-SMoLA: Boosting Generalist Multimodal Models with Soft Mixture of Low-rank Experts CVPR 2024 OmniTokenizer: A Joint Image-Video Tokenizer for Visual Generation NeurIPS 2024 OmniVec: Learning Robust Representations With Cross Modal Sharing WACV 2024 Once for Both: Single Stage of Importance and Sparsity Search for Vision Transformer Compression CVPR 2024 Once Read is Enough: Domain-specific Pretraining-free Language Models with Cluster-guided Sparse Experts for Long-tail Domain Knowledge NeurIPS 2024 OneFormer3D: One Transformer for Unified Point Cloud Segmentation CVPR 2024 One-Layer Transformer Provably Learns One-Nearest Neighbor In Context NeurIPS 2024 One Meta-tuned Transformer is What You Need for Few-shot Learning ICML 2024 One Size Fits All for Semantic Shifts: Adaptive Prompt Tuning for Continual Learning ICML 2024 One-step Spiking Transformer with a Linear Complexity IJCAI 2024 On Feature Learning in Structured State Space Models NeurIPS 2024 On Mesa-Optimization in Autoregressively Trained Transformers: Emergence and Capability NeurIPS 2024 On-Policy Distillation of Language Models: Learning from Self-Generated Mistakes ICLR 2024 On Scaling Up a Multilingual Vision and Language Model CVPR 2024 On the Encoding of Gender in Transformer-based ASR Representations Interspeech 2024 On the Faithfulness of Vision Transformer Explanations CVPR 2024