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model capacity

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neural network optimization (4) neural network (3) parameter-efficient fine-tuning (3) adversarial training (3) adversarial robustness (3) transformer model (2) inference efficiency (2) mixture of expert (2) deep neural network (2) low-resource language (2)

Papers

When Token Pruning is Worse than Random: Understanding Visual Token Information in VLLMs CVPR 2026 Controlled Low-Rank Adaptation with Subspace Regularization for Continued Training on Large Language Models ACL 2025 Maximum Score Routing For Mixture-of-Experts ACL 2025 Principled Data Selection for Alignment: The Hidden Risks of Difficult Examples ICML 2025 A two-scale Complexity Measure for Deep Learning Models NeurIPS 2024 Increasing Model Capacity for Free: A Simple Strategy for Parameter Efficient Fine-tuning ICLR 2024 Parameter-Efficient Sparsity Crafting from Dense to Mixture-of-Experts for Instruction Tuning on General Tasks EMNLP 2024 Position: Is machine learning good or bad for the natural sciences? ICML 2024 What should Baby Models read? Exploring Sample-Efficient Data Composition on Model Performance CoNLL 2024 When Is Multilinguality a Curse? Language Modeling for 250 High- and Low-Resource Languages EMNLP 2024 Alternating Updates for Efficient Transformers NeurIPS 2023 Exploring Memorization in Adversarial Training ICLR 2022 Exploring the Benefits and Limitations of Multilinguality for Non-autoregressive Machine Translation EMNLP 2022 Model Cascading: Towards Jointly Improving Efficiency and Accuracy of NLP Systems EMNLP 2022 Moderate-fitting as a Natural Backdoor Defender for Pre-trained Language Models NeurIPS 2022 Synergy-of-Experts: Collaborate to Improve Adversarial Robustness NeurIPS 2022 Towards Bridging Sample Complexity and Model Capacity AAAI 2022 Beyond English-Centric Multilingual Machine Translation JMLR 2021 Dynamic Routing Networks WACV 2021 Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks NeurIPS 2021 Geometry-aware Instance-reweighted Adversarial Training ICLR 2021 Improved Denoising Diffusion Probabilistic Models ICML 2021 Learning from others' mistakes: Avoiding dataset biases without modeling them ICLR 2021 Modeling Task-Aware MIMO Cardinality for Efficient Multilingual Neural Machine Translation ACL 2021 Self-Adaptive Distillation for Multilingual Speech Recognition: Leveraging Student Independence Interspeech 2021