{"total":20,"rows":[{"id":"2304.09145","title":"Outlier Suppression+: Accurate quantization of large language models by equivalent and optimal shifting and scaling","created":"2023-04-18","cited_by_count":61,"area":null},{"id":"2309.02031","title":"A survey on efficient vision transformers: algorithms, techniques, and performance benchmarking","created":"2023-09-05","cited_by_count":41,"area":null},{"id":"2407.09777","title":"Graph Transformers: A Survey","created":"2024-07-13","cited_by_count":32,"area":null},{"id":"2211.07091","title":"BiViT: Extremely Compressed Binary Vision Transformer","created":"2022-11-14","cited_by_count":28,"area":null},{"id":"2211.10526","title":"Castling-ViT: Compressing Self-Attention via Switching Towards Linear-Angular Attention at Vision Transformer Inference","created":"2022-11-18","cited_by_count":28,"area":null},{"id":"2304.03589","title":"On Efficient Training of Large-Scale Deep Learning Models: A Literature Review","created":"2023-04-07","cited_by_count":26,"area":null},{"id":"2502.12677","title":"Spiking Vision Transformer with Saccadic Attention","created":"2025-02-18","cited_by_count":21,"area":null},{"id":"2304.05659","title":"RIFormer: Keep Your Vision Backbone Effective While Removing Token Mixer","created":"2023-04-12","cited_by_count":13,"area":null},{"id":"2211.07198","title":"Fcaformer: Forward Cross Attention in Hybrid Vision Transformer","created":"2022-11-14","cited_by_count":7,"area":null},{"id":"2310.02544","title":"SlowFormer: Universal Adversarial Patch for Attack on Compute and Energy Efficiency of Inference Efficient Vision Transformers","created":"2023-10-04","cited_by_count":3,"area":null},{"id":"2412.05505","title":"Trimming Down Large Spiking Vision Transformers via Heterogeneous Quantization Search","created":"2024-12-07","cited_by_count":2,"area":null},{"id":"2505.14719","title":"MSVIT: Improving Spiking Vision Transformer Using Multi-scale Attention Fusion","created":"2025-05-19","cited_by_count":2,"area":null},{"id":"2603.19290","title":"Neural Dynamics Self-Attention for Spiking Transformers","created":"2026-03-09","cited_by_count":2,"area":null},{"id":"2502.10460","title":"SenDaL: An Effective and Efficient Calibration Framework of Low-Cost Sensors for Daily Life","created":"2025-02-12","cited_by_count":0,"area":null},{"id":"2508.01994","title":"Deeply Dual Supervised learning for melanoma recognition","created":"2025-08-04","cited_by_count":0,"area":null},{"id":"2508.06805","title":"Edge Detection for Organ Boundaries via Top Down Refinement and SubPixel Upsampling","created":"2025-08-09","cited_by_count":0,"area":null},{"id":"2508.06816","title":"DualResolution Residual Architecture with Artifact Suppression for Melanocytic Lesion Segmentation","created":"2025-08-09","cited_by_count":0,"area":null},{"id":"2508.06819","title":"VesselRW: Weakly Supervised Subcutaneous Vessel Segmentation via Learned Random Walk Propagation","created":"2025-08-09","cited_by_count":0,"area":null},{"id":"2511.06715","title":"Sensor Calibration Model Balancing Accuracy, Real-time, and Efficiency","created":"2025-11-10","cited_by_count":0,"area":null},{"id":"2602.21987","title":"PatchDenoiser: Parameter-efficient multi-scale patch learning and fusion denoiser for Low-dose CT imaging","created":"2026-02-25","cited_by_count":0,"area":null}],"next_cursor":null}