computational efficiency

Diffusion Policies Creating a Trust Region for Offline Reinforcement Learning NeurIPS 2024 DiTFastAttn: Attention Compression for Diffusion Transformer Models NeurIPS 2024 D-LLM: A Token Adaptive Computing Resource Allocation Strategy for Large Language Models NeurIPS 2024 Efficient Lifelong Model Evaluation in an Era of Rapid Progress NeurIPS 2024 Efficient LLM Comparative Assessment: A Product of Experts Framework for Pairwise Comparisons EMNLP 2024 Fact or Fiction? Improving Fact Verification with Knowledge Graphs through Simplified Subgraph Retrievals EMNLP 2024 Harder Task Needs More Experts: Dynamic Routing in MoE Models ACL 2024 Hierarchical Separable Video Transformer for Snapshot Compressive Imaging ECCV 2024 Hundredfold Accelerating for Pathological Images Diagnosis and Prognosis through Self-reform Critical Region Focusing IJCAI 2024 Hybrid Distillation from RBMT and NMT: Helsinki-NLP’s Submission to the Shared Task on Translation into Low-Resource Languages of Spain EMNLP 2024 Latent Modulated Function for Computational Optimal Continuous Image Representation CVPR 2024 Leveraging Visual Tokens for Extended Text Contexts in Multi-Modal Learning NeurIPS 2024 LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models ICLR 2024 Long Sequence Modeling with Attention Tensorization: From Sequence to Tensor Learning EMNLP 2024 MapLE: Matching Molecular Analogues Promptly with Low Computational Resources by Multi-Metrics Evaluation (Student Abstract) AAAI 2024 Matryoshka-Adaptor: Unsupervised and Supervised Tuning for Smaller Embedding Dimensions EMNLP 2024 Memorize Step by Step: Efficient Long-Context Prefilling with Incremental Memory and Decremental Chunk EMNLP 2024 MFABA: A More Faithful and Accelerated Boundary-Based Attribution Method for Deep Neural Networks AAAI 2024 Mini-DA: Improving Your Model Performance through Minimal Data Augmentation using LLM NAACL 2024 MLP Can Be A Good Transformer Learner CVPR 2024 MLP-Mixer based surrogate model for seismic ground motion with spatial source and geometry parameters ACML 2024 OctreeOcc: Efficient and Multi-Granularity Occupancy Prediction Using Octree Queries NeurIPS 2024 ODIM: Outlier Detection via Likelihood of Under-Fitted Generative Models ICML 2024 On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm CVPR 2024 OrchestraLLM: Efficient Orchestration of Language Models for Dialogue State Tracking NAACL 2024