Architectures

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 One-Vs-Rest Neural Network English Grapheme Segmentation: A Linguistic Perspective CoNLL 2024 On Feature Learning in Structured State Space Models NeurIPS 2024 On Feynman-Kac training of partial Bayesian neural networks AISTATS 2024 Online GNN Evaluation Under Test-time Graph Distribution Shifts ICLR 2024 Online Relational Inference for Evolving Multi-agent Interacting Systems NeurIPS 2024 OnlineTAS: An Online Baseline for Temporal Action Segmentation NeurIPS 2024 Only Strict Saddles in the Energy Landscape of Predictive Coding Networks? 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 provable privacy vulnerabilities of graph representations NeurIPS 2024 On Scaling Up a Multilingual Vision and Language Model CVPR 2024 On the Calibration of Human Pose Estimation ICML 2024 On the Diminishing Returns of Width for Continual Learning ICML 2024 On the Effect of Initialization: The Scaling Path of 2-Layer Neural Networks JMLR 2024 On the Encoding of Gender in Transformer-based ASR Representations Interspeech 2024 On the Expressive Power of Spectral Invariant Graph Neural Networks ICML 2024 On the Expressivity and Sample Complexity of Node-Individualized Graph Neural Networks NeurIPS 2024 On the Expressivity of Recurrent Neural Cascades AAAI 2024 On the Faithfulness of Vision Transformer Explanations CVPR 2024 On the Foundations of Shortcut Learning ICLR 2024 On the Generalization and Approximation Capacities of Neural Controlled Differential Equations ICLR 2024 On the Generalization of Equivariant Graph Neural Networks ICML 2024 On the hardness of learning under symmetries ICLR 2024